training_output.txt

Beginning train with params:
Attention: True, Bidirectional: False


Epoch 1 out of 2000Batch: 1, Loss: 12.254023551940918
Batch: 2, Loss: 12.25191593170166
Batch: 3, Loss: 12.097244262695312
Batch: 4, Loss: 11.602534294128418
Batch: 5, Loss: 10.74337100982666
Batch: 6, Loss: 9.429019927978516
Batch: 7, Loss: 9.444721221923828
Batch: 8, Loss: 9.950742721557617
Batch: 9, Loss: 9.674982070922852
Batch: 10, Loss: 9.02640151977539
Batch: 11, Loss: 9.089177131652832
Batch: 12, Loss: 9.581668853759766
Batch: 13, Loss: 9.441471099853516
Batch: 14, Loss: 9.22257137298584

Epoch 2 out of 2000Batch: 1, Loss: 9.255640029907227
Batch: 2, Loss: 8.952438354492188
Batch: 3, Loss: 9.139421463012695
Batch: 4, Loss: 8.786409378051758
Batch: 5, Loss: 9.008625984191895
Batch: 6, Loss: 8.807516098022461
Batch: 7, Loss: 8.86252498626709
Batch: 8, Loss: 8.724947929382324
Batch: 9, Loss: 8.856316566467285
Batch: 10, Loss: 8.785757064819336
Batch: 11, Loss: 8.941275596618652
Batch: 12, Loss: 8.58899974822998
Batch: 13, Loss: 8.863584518432617
Batch: 14, Loss: 8.720307350158691

Epoch 3 out of 2000Batch: 1, Loss: 8.818750381469727
Batch: 2, Loss: 8.737983703613281
Batch: 3, Loss: 8.455233573913574
Batch: 4, Loss: 8.4989595413208
Batch: 5, Loss: 8.659975051879883
Batch: 6, Loss: 8.699247360229492
Batch: 7, Loss: 8.280353546142578
Batch: 8, Loss: 8.58824634552002
Batch: 9, Loss: 8.596600532531738
Batch: 10, Loss: 8.988567352294922
Batch: 11, Loss: 8.471484184265137
Batch: 12, Loss: 8.619377136230469
Batch: 13, Loss: 8.737133979797363
Batch: 14, Loss: 8.88932991027832

Epoch 4 out of 2000Batch: 1, Loss: 8.640177726745605
Batch: 2, Loss: 8.534903526306152
Batch: 3, Loss: 8.410499572753906
Batch: 4, Loss: 8.502030372619629
Batch: 5, Loss: 8.598462104797363
Batch: 6, Loss: 8.691084861755371
Batch: 7, Loss: 8.481680870056152
Batch: 8, Loss: 8.450153350830078
Batch: 9, Loss: 8.707608222961426
Batch: 10, Loss: 8.197833061218262
Batch: 11, Loss: 8.69233512878418
Batch: 12, Loss: 8.517692565917969
Batch: 13, Loss: 8.462206840515137
Batch: 14, Loss: 8.557374000549316

Epoch 5 out of 2000Batch: 1, Loss: 8.287367820739746
Batch: 2, Loss: 8.274173736572266
Batch: 3, Loss: 8.292609214782715
Batch: 4, Loss: 8.368741035461426
Batch: 5, Loss: 8.443498611450195
Batch: 6, Loss: 8.37315845489502
Batch: 7, Loss: 8.525716781616211
Batch: 8, Loss: 8.470317840576172
Batch: 9, Loss: 8.537108421325684
Batch: 10, Loss: 8.515896797180176
Batch: 11, Loss: 8.146169662475586
Batch: 12, Loss: 8.457921981811523
Batch: 13, Loss: 8.106940269470215
Batch: 14, Loss: 8.476166725158691

Epoch 6 out of 2000Batch: 1, Loss: 8.118280410766602
Batch: 2, Loss: 8.444625854492188
Batch: 3, Loss: 8.2113676071167
Batch: 4, Loss: 8.442530632019043
Batch: 5, Loss: 8.281451225280762
Batch: 6, Loss: 8.468948364257812
Batch: 7, Loss: 8.260884284973145
Batch: 8, Loss: 8.402835845947266
Batch: 9, Loss: 8.118171691894531
Batch: 10, Loss: 8.17796802520752
Batch: 11, Loss: 8.2783842086792
Batch: 12, Loss: 8.29594612121582
Batch: 13, Loss: 8.215702056884766
Batch: 14, Loss: 8.384269714355469

Epoch 7 out of 2000Batch: 1, Loss: 8.418365478515625
Batch: 2, Loss: 8.553531646728516
Batch: 3, Loss: 8.25156307220459
Batch: 4, Loss: 8.575447082519531
Batch: 5, Loss: 8.232873916625977
Batch: 6, Loss: 8.242497444152832
Batch: 7, Loss: 8.354982376098633
Batch: 8, Loss: 8.164887428283691
Batch: 9, Loss: 8.754609107971191
Batch: 10, Loss: 8.179346084594727
Batch: 11, Loss: 8.551447868347168
Batch: 12, Loss: 8.447942733764648
Batch: 13, Loss: 8.149737358093262
Batch: 14, Loss: 8.062336921691895

Epoch 8 out of 2000Batch: 1, Loss: 7.864633560180664
Batch: 2, Loss: 8.330750465393066
Batch: 3, Loss: 8.281272888183594
Batch: 4, Loss: 8.307531356811523
Batch: 5, Loss: 8.520655632019043
Batch: 6, Loss: 8.64380168914795
Batch: 7, Loss: 8.049325942993164
Batch: 8, Loss: 8.576883316040039
Batch: 9, Loss: 8.02326488494873
Batch: 10, Loss: 8.193477630615234
Batch: 11, Loss: 8.353788375854492
Batch: 12, Loss: 8.408905029296875
Batch: 13, Loss: 8.2255277633667
Batch: 14, Loss: 8.399787902832031

Epoch 9 out of 2000Batch: 1, Loss: 8.318036079406738
Batch: 2, Loss: 8.54316234588623
Batch: 3, Loss: 8.333841323852539
Batch: 4, Loss: 8.432065963745117
Batch: 5, Loss: 8.03018856048584
Batch: 6, Loss: 8.227914810180664
Batch: 7, Loss: 8.185105323791504
Batch: 8, Loss: 8.23983383178711
Batch: 9, Loss: 7.920746326446533
Batch: 10, Loss: 8.232810020446777
Batch: 11, Loss: 8.17255687713623
Batch: 12, Loss: 8.368489265441895
Batch: 13, Loss: 8.10755443572998
Batch: 14, Loss: 8.492040634155273

Epoch 10 out of 2000Batch: 1, Loss: 7.989803791046143
Batch: 2, Loss: 8.401665687561035
Batch: 3, Loss: 8.234040260314941
Batch: 4, Loss: 8.412680625915527
Batch: 5, Loss: 8.017650604248047
Batch: 6, Loss: 8.230708122253418
Batch: 7, Loss: 8.411041259765625
Batch: 8, Loss: 8.464361190795898
Batch: 9, Loss: 8.105236053466797
Batch: 10, Loss: 8.227592468261719
Batch: 11, Loss: 8.433673858642578
Batch: 12, Loss: 8.339011192321777
Batch: 13, Loss: 8.640127182006836
Batch: 14, Loss: 7.759188652038574

Epoch 11 out of 2000Batch: 1, Loss: 8.3538179397583
Batch: 2, Loss: 8.28172779083252
Batch: 3, Loss: 8.375755310058594
Batch: 4, Loss: 8.376099586486816
Batch: 5, Loss: 8.215927124023438
Batch: 6, Loss: 8.228222846984863
Batch: 7, Loss: 8.355270385742188
Batch: 8, Loss: 8.267539978027344
Batch: 9, Loss: 8.303471565246582
Batch: 10, Loss: 8.609461784362793
Batch: 11, Loss: 8.210335731506348
Batch: 12, Loss: 8.064865112304688
Batch: 13, Loss: 8.106392860412598
Batch: 14, Loss: 8.48868465423584

Epoch 12 out of 2000Batch: 1, Loss: 7.799697399139404
Batch: 2, Loss: 8.191864967346191
Batch: 3, Loss: 8.05532169342041
Batch: 4, Loss: 8.246565818786621
Batch: 5, Loss: 8.453341484069824
Batch: 6, Loss: 8.000646591186523
Batch: 7, Loss: 7.91249942779541
Batch: 8, Loss: 8.184586524963379
Batch: 9, Loss: 8.28076457977295
Batch: 10, Loss: 8.319211959838867
Batch: 11, Loss: 8.274142265319824
Batch: 12, Loss: 8.309982299804688
Batch: 13, Loss: 8.044892311096191
Batch: 14, Loss: 8.391528129577637

Epoch 13 out of 2000Batch: 1, Loss: 8.15353775024414
Batch: 2, Loss: 8.157795906066895
Batch: 3, Loss: 8.114786148071289
Batch: 4, Loss: 8.23250961303711
Batch: 5, Loss: 8.215822219848633
Batch: 6, Loss: 8.342339515686035
Batch: 7, Loss: 7.940728187561035
Batch: 8, Loss: 8.234031677246094
Batch: 9, Loss: 8.087803840637207
Batch: 10, Loss: 8.244668960571289
Batch: 11, Loss: 8.502052307128906
Batch: 12, Loss: 7.911170482635498
Batch: 13, Loss: 8.395779609680176
Batch: 14, Loss: 8.196388244628906

Epoch 14 out of 2000Batch: 1, Loss: 8.39000415802002
Batch: 2, Loss: 7.922604084014893
Batch: 3, Loss: 8.243598937988281
Batch: 4, Loss: 8.22706127166748
Batch: 5, Loss: 8.29222583770752
Batch: 6, Loss: 7.8849382400512695
Batch: 7, Loss: 7.94384241104126
Batch: 8, Loss: 7.8503031730651855
Batch: 9, Loss: 8.283293724060059
Batch: 10, Loss: 8.265983581542969
Batch: 11, Loss: 7.933539390563965
Batch: 12, Loss: 8.432833671569824
Batch: 13, Loss: 8.015131950378418
Batch: 14, Loss: 8.393714904785156

Epoch 15 out of 2000Batch: 1, Loss: 8.028244972229004
Batch: 2, Loss: 7.84512996673584
Batch: 3, Loss: 8.228151321411133
Batch: 4, Loss: 8.061742782592773
Batch: 5, Loss: 8.262336730957031
Batch: 6, Loss: 7.912011623382568
Batch: 7, Loss: 7.999852180480957
Batch: 8, Loss: 7.905797481536865
Batch: 9, Loss: 8.312772750854492
Batch: 10, Loss: 7.979814529418945
Batch: 11, Loss: 8.099061012268066
Batch: 12, Loss: 7.876398086547852
Batch: 13, Loss: 7.905157089233398
Batch: 14, Loss: 7.8895392417907715

Epoch 16 out of 2000Batch: 1, Loss: 7.946425914764404
Batch: 2, Loss: 8.019169807434082
Batch: 3, Loss: 7.892148971557617
Batch: 4, Loss: 8.18656063079834
Batch: 5, Loss: 7.954122066497803
Batch: 6, Loss: 7.757812976837158
Batch: 7, Loss: 8.157893180847168
Batch: 8, Loss: 8.43757152557373
Batch: 9, Loss: 8.5158052444458
Batch: 10, Loss: 8.042984962463379
Batch: 11, Loss: 7.835908889770508
Batch: 12, Loss: 8.034564971923828
Batch: 13, Loss: 7.964926719665527
Batch: 14, Loss: 8.362537384033203

Epoch 17 out of 2000Batch: 1, Loss: 7.601719379425049
Batch: 2, Loss: 8.227131843566895
Batch: 3, Loss: 7.962001323699951
Batch: 4, Loss: 8.117670059204102
Batch: 5, Loss: 7.892786979675293
Batch: 6, Loss: 7.6521100997924805
Batch: 7, Loss: 8.034025192260742
Batch: 8, Loss: 7.724926471710205
Batch: 9, Loss: 7.792229652404785
Batch: 10, Loss: 8.121109962463379
Batch: 11, Loss: 7.733841896057129
Batch: 12, Loss: 7.931893825531006
Batch: 13, Loss: 7.9429097175598145
Batch: 14, Loss: 7.7183942794799805

Epoch 18 out of 2000Batch: 1, Loss: 7.908027648925781
Batch: 2, Loss: 7.793918132781982
Batch: 3, Loss: 7.762823581695557
Batch: 4, Loss: 8.222494125366211
Batch: 5, Loss: 7.663701057434082
Batch: 6, Loss: 7.920137405395508
Batch: 7, Loss: 8.017393112182617
Batch: 8, Loss: 8.034159660339355
Batch: 9, Loss: 8.025391578674316
Batch: 10, Loss: 8.136712074279785
Batch: 11, Loss: 7.705811500549316
Batch: 12, Loss: 7.869151592254639
Batch: 13, Loss: 8.000831604003906
Batch: 14, Loss: 7.758541584014893

Epoch 19 out of 2000Batch: 1, Loss: 7.942932605743408
Batch: 2, Loss: 8.160622596740723
Batch: 3, Loss: 7.881821632385254
Batch: 4, Loss: 8.195915222167969
Batch: 5, Loss: 7.745213031768799
Batch: 6, Loss: 8.139327049255371
Batch: 7, Loss: 8.125258445739746
Batch: 8, Loss: 7.879761219024658
Batch: 9, Loss: 7.792822360992432
Batch: 10, Loss: 7.754894733428955
Batch: 11, Loss: 8.00483512878418
Batch: 12, Loss: 8.019369125366211
Batch: 13, Loss: 8.192856788635254
Batch: 14, Loss: 8.08275318145752

Epoch 20 out of 2000Batch: 1, Loss: 7.696094036102295
Batch: 2, Loss: 8.26889705657959
Batch: 3, Loss: 8.103581428527832
Batch: 4, Loss: 7.797860145568848
Batch: 5, Loss: 8.034070014953613
Batch: 6, Loss: 8.176468849182129
Batch: 7, Loss: 7.698998928070068
Batch: 8, Loss: 7.907798767089844
Batch: 9, Loss: 7.845635890960693
Batch: 10, Loss: 7.761733531951904
Batch: 11, Loss: 7.920449256896973
Batch: 12, Loss: 7.856392860412598
Batch: 13, Loss: 7.750489711761475
Batch: 14, Loss: 7.274873733520508

Epoch 21 out of 2000Batch: 1, Loss: 7.895782947540283
Batch: 2, Loss: 7.596241474151611
Batch: 3, Loss: 7.900785446166992
Batch: 4, Loss: 7.865739822387695
Batch: 5, Loss: 7.933367729187012
Batch: 6, Loss: 8.136033058166504
Batch: 7, Loss: 7.66384220123291
Batch: 8, Loss: 7.717433452606201
Batch: 9, Loss: 8.252494812011719
Batch: 10, Loss: 7.9949469566345215
Batch: 11, Loss: 7.877534866333008
Batch: 12, Loss: 7.895975112915039
Batch: 13, Loss: 7.7609028816223145
Batch: 14, Loss: 8.293606758117676

Epoch 22 out of 2000Batch: 1, Loss: 8.172621726989746
Batch: 2, Loss: 7.574173927307129
Batch: 3, Loss: 8.043623924255371
Batch: 4, Loss: 7.776050090789795
Batch: 5, Loss: 7.782577037811279
Batch: 6, Loss: 7.899184226989746
Batch: 7, Loss: 7.798099994659424
Batch: 8, Loss: 7.711167812347412
Batch: 9, Loss: 7.713881969451904
Batch: 10, Loss: 7.7713117599487305
Batch: 11, Loss: 7.816153049468994
Batch: 12, Loss: 7.7850494384765625
Batch: 13, Loss: 7.539384365081787
Batch: 14, Loss: 7.825423240661621

Epoch 23 out of 2000Batch: 1, Loss: 7.897287368774414
Batch: 2, Loss: 7.905958652496338
Batch: 3, Loss: 7.757344722747803
Batch: 4, Loss: 7.627646446228027
Batch: 5, Loss: 7.72152853012085
Batch: 6, Loss: 7.826195240020752
Batch: 7, Loss: 8.080121040344238
Batch: 8, Loss: 8.25960636138916
Batch: 9, Loss: 7.853007793426514
Batch: 10, Loss: 7.962173938751221
Batch: 11, Loss: 7.92840051651001
Batch: 12, Loss: 7.766347408294678
Batch: 13, Loss: 8.052386283874512
Batch: 14, Loss: 7.57435417175293

Epoch 24 out of 2000Batch: 1, Loss: 7.547525405883789
Batch: 2, Loss: 8.140472412109375
Batch: 3, Loss: 7.636968612670898
Batch: 4, Loss: 7.709420680999756
Batch: 5, Loss: 7.494126796722412
Batch: 6, Loss: 7.994075298309326
Batch: 7, Loss: 7.8294172286987305
Batch: 8, Loss: 7.85117244720459
Batch: 9, Loss: 7.620445251464844
Batch: 10, Loss: 7.940559387207031
Batch: 11, Loss: 7.6461262702941895
Batch: 12, Loss: 8.172048568725586
Batch: 13, Loss: 7.830754280090332
Batch: 14, Loss: 7.918497562408447

Epoch 25 out of 2000Batch: 1, Loss: 7.643758773803711
Batch: 2, Loss: 7.090243339538574
Batch: 3, Loss: 7.2337541580200195
Batch: 4, Loss: 7.027431011199951
Batch: 5, Loss: 6.965003490447998
Batch: 6, Loss: 6.749851226806641
Batch: 7, Loss: 6.742945194244385
Batch: 8, Loss: 6.900846004486084
Batch: 9, Loss: 6.925375461578369
Batch: 10, Loss: 6.568729877471924
Batch: 11, Loss: 7.088710784912109
Batch: 12, Loss: 6.829679012298584
Batch: 13, Loss: 6.929009437561035
Batch: 14, Loss: 6.58795166015625

Epoch 26 out of 2000Batch: 1, Loss: 8.633538246154785
Batch: 2, Loss: 8.133443832397461
Batch: 3, Loss: 8.42988395690918
Batch: 4, Loss: 7.864134311676025
Batch: 5, Loss: 7.69320011138916
Batch: 6, Loss: 7.5321221351623535
Batch: 7, Loss: 7.984462738037109
Batch: 8, Loss: 7.291662693023682
Batch: 9, Loss: 7.8099284172058105
Batch: 10, Loss: 7.767948627471924
Batch: 11, Loss: 7.636945724487305
Batch: 12, Loss: 7.537145137786865
Batch: 13, Loss: 7.998318672180176
Batch: 14, Loss: 7.485981464385986

Epoch 27 out of 2000Batch: 1, Loss: 7.407718181610107
Batch: 2, Loss: 7.478379726409912
Batch: 3, Loss: 8.255635261535645
Batch: 4, Loss: 7.739867210388184
Batch: 5, Loss: 7.415920734405518
Batch: 6, Loss: 7.713293075561523
Batch: 7, Loss: 7.738606929779053
Batch: 8, Loss: 7.879271030426025
Batch: 9, Loss: 7.624266147613525
Batch: 10, Loss: 7.162899494171143
Batch: 11, Loss: 7.8107099533081055
Batch: 12, Loss: 7.604345798492432
Batch: 13, Loss: 7.9304728507995605
Batch: 14, Loss: 7.512510776519775

Epoch 28 out of 2000Batch: 1, Loss: 7.818088054656982
Batch: 2, Loss: 7.489032745361328
Batch: 3, Loss: 7.477642059326172
Batch: 4, Loss: 7.76746940612793
Batch: 5, Loss: 7.652566909790039
Batch: 6, Loss: 7.63895845413208
Batch: 7, Loss: 7.413259029388428
Batch: 8, Loss: 7.63342809677124
Batch: 9, Loss: 7.649043560028076
Batch: 10, Loss: 7.814393997192383
Batch: 11, Loss: 7.710982322692871
Batch: 12, Loss: 7.799316883087158
Batch: 13, Loss: 7.908840656280518
Batch: 14, Loss: 7.690427780151367

Epoch 29 out of 2000Batch: 1, Loss: 7.208197116851807
Batch: 2, Loss: 7.677475452423096
Batch: 3, Loss: 7.438896179199219
Batch: 4, Loss: 7.737471580505371
Batch: 5, Loss: 7.540366172790527
Batch: 6, Loss: 7.5323662757873535
Batch: 7, Loss: 7.730781555175781
Batch: 8, Loss: 7.681673049926758
Batch: 9, Loss: 7.736932754516602
Batch: 10, Loss: 7.439610958099365
Batch: 11, Loss: 7.891902446746826
Batch: 12, Loss: 7.950441837310791
Batch: 13, Loss: 7.599212169647217
Batch: 14, Loss: 7.889555931091309

Epoch 30 out of 2000Batch: 1, Loss: 6.698480129241943
Batch: 2, Loss: 7.170404434204102
Batch: 3, Loss: 7.035371780395508
Batch: 4, Loss: 7.2751240730285645
Batch: 5, Loss: 6.93674373626709
Batch: 6, Loss: 7.3199052810668945
Batch: 7, Loss: 6.780619144439697
Batch: 8, Loss: 6.839408874511719
Batch: 9, Loss: 6.60707426071167
Batch: 10, Loss: 7.100233554840088
Batch: 11, Loss: 6.726046085357666
Batch: 12, Loss: 6.7900848388671875
Batch: 13, Loss: 6.867264747619629
Batch: 14, Loss: 6.876457214355469

Epoch 31 out of 2000Batch: 1, Loss: 7.960165977478027
Batch: 2, Loss: 7.736069679260254
Batch: 3, Loss: 7.503546714782715
Batch: 4, Loss: 7.761797904968262
Batch: 5, Loss: 7.343226432800293
Batch: 6, Loss: 7.939368724822998
Batch: 7, Loss: 7.480332851409912
Batch: 8, Loss: 8.081514358520508
Batch: 9, Loss: 7.885415554046631
Batch: 10, Loss: 7.625922679901123
Batch: 11, Loss: 7.646022319793701
Batch: 12, Loss: 7.850436687469482
Batch: 13, Loss: 8.063338279724121
Batch: 14, Loss: 7.818145751953125

Epoch 32 out of 2000Batch: 1, Loss: 7.923928260803223
Batch: 2, Loss: 7.640509605407715
Batch: 3, Loss: 7.345317363739014
Batch: 4, Loss: 7.237403392791748
Batch: 5, Loss: 6.729519367218018
Batch: 6, Loss: 7.115402698516846
Batch: 7, Loss: 7.4971699714660645
Batch: 8, Loss: 7.150339126586914
Batch: 9, Loss: 6.8587870597839355
Batch: 10, Loss: 6.482772350311279
Batch: 11, Loss: 6.749338150024414
Batch: 12, Loss: 6.6209397315979
Batch: 13, Loss: 6.672293663024902
Batch: 14, Loss: 6.694264888763428

Epoch 33 out of 2000Batch: 1, Loss: 8.622614860534668
Batch: 2, Loss: 8.39599895477295
Batch: 3, Loss: 7.87960958480835
Batch: 4, Loss: 8.070436477661133
Batch: 5, Loss: 7.628142833709717
Batch: 6, Loss: 7.6593217849731445
Batch: 7, Loss: 7.842017650604248
Batch: 8, Loss: 7.4753031730651855
Batch: 9, Loss: 7.609384059906006
Batch: 10, Loss: 7.631045341491699
Batch: 11, Loss: 7.563052177429199
Batch: 12, Loss: 6.779371738433838
Batch: 13, Loss: 7.610367774963379
Batch: 14, Loss: 8.120607376098633

Epoch 34 out of 2000Batch: 1, Loss: 7.487742900848389
Batch: 2, Loss: 7.989434242248535
Batch: 3, Loss: 7.5557661056518555
Batch: 4, Loss: 7.886852741241455
Batch: 5, Loss: 7.481020450592041
Batch: 6, Loss: 7.91298246383667
Batch: 7, Loss: 7.73046350479126
Batch: 8, Loss: 7.620742321014404
Batch: 9, Loss: 7.335224151611328
Batch: 10, Loss: 7.537680625915527
Batch: 11, Loss: 7.692893981933594
Batch: 12, Loss: 7.706057548522949
Batch: 13, Loss: 7.594534873962402
Batch: 14, Loss: 7.666473865509033

Epoch 35 out of 2000Batch: 1, Loss: 7.985451698303223
Batch: 2, Loss: 7.34136438369751
Batch: 3, Loss: 8.012252807617188
Batch: 4, Loss: 7.564963340759277
Batch: 5, Loss: 7.7094035148620605
Batch: 6, Loss: 7.506202697753906
Batch: 7, Loss: 7.628141403198242
Batch: 8, Loss: 7.597513198852539
Batch: 9, Loss: 7.5472941398620605
Batch: 10, Loss: 7.358421325683594
Batch: 11, Loss: 7.813508033752441
Batch: 12, Loss: 7.549070358276367
Batch: 13, Loss: 7.565581321716309
Batch: 14, Loss: 7.492249011993408

Epoch 36 out of 2000Batch: 1, Loss: 6.609252452850342
Batch: 2, Loss: 7.365708827972412
Batch: 3, Loss: 6.948084354400635
Batch: 4, Loss: 6.871750831604004
Batch: 5, Loss: 7.267830848693848
Batch: 6, Loss: 6.919427871704102
Batch: 7, Loss: 6.872591972351074
Batch: 8, Loss: 7.041697978973389
Batch: 9, Loss: 6.8324995040893555
Batch: 10, Loss: 6.81899356842041
Batch: 11, Loss: 6.803180694580078
Batch: 12, Loss: 6.9568963050842285
Batch: 13, Loss: 6.513517379760742
Batch: 14, Loss: 6.983434200286865

Epoch 37 out of 2000Batch: 1, Loss: 8.219520568847656
Batch: 2, Loss: 8.184919357299805
Batch: 3, Loss: 7.74473762512207
Batch: 4, Loss: 7.7551727294921875
Batch: 5, Loss: 7.880995750427246
Batch: 6, Loss: 7.632931232452393
Batch: 7, Loss: 7.9178466796875
Batch: 8, Loss: 7.6561079025268555
Batch: 9, Loss: 7.87657356262207
Batch: 10, Loss: 7.739620208740234
Batch: 11, Loss: 7.486558437347412
Batch: 12, Loss: 7.368182182312012
Batch: 13, Loss: 7.755082607269287
Batch: 14, Loss: 7.217576026916504

Epoch 38 out of 2000Batch: 1, Loss: 7.402896404266357
Batch: 2, Loss: 7.321439266204834
Batch: 3, Loss: 7.53420352935791
Batch: 4, Loss: 7.809811592102051
Batch: 5, Loss: 7.855821132659912
Batch: 6, Loss: 7.961400985717773
Batch: 7, Loss: 7.672679424285889
Batch: 8, Loss: 7.622215270996094
Batch: 9, Loss: 7.37321662902832
Batch: 10, Loss: 7.041633129119873
Batch: 11, Loss: 7.633258819580078
Batch: 12, Loss: 7.203369617462158
Batch: 13, Loss: 7.535045146942139
Batch: 14, Loss: 7.6947855949401855

Epoch 39 out of 2000Batch: 1, Loss: 7.300292015075684
Batch: 2, Loss: 6.8596696853637695
Batch: 3, Loss: 7.272675514221191
Batch: 4, Loss: 7.356436252593994
Batch: 5, Loss: 7.434508323669434
Batch: 6, Loss: 7.196353435516357
Batch: 7, Loss: 7.258642196655273
Batch: 8, Loss: 7.063047409057617
Batch: 9, Loss: 7.037965774536133
Batch: 10, Loss: 7.076812267303467
Batch: 11, Loss: 7.038439750671387
Batch: 12, Loss: 7.180414199829102
Batch: 13, Loss: 7.130382061004639
Batch: 14, Loss: 6.990730285644531

Epoch 40 out of 2000Batch: 1, Loss: 7.7553391456604
Batch: 2, Loss: 7.365002155303955
Batch: 3, Loss: 7.5988922119140625
Batch: 4, Loss: 7.7907586097717285
Batch: 5, Loss: 7.495532035827637
Batch: 6, Loss: 7.506589412689209
Batch: 7, Loss: 7.782192707061768
Batch: 8, Loss: 7.57368803024292
Batch: 9, Loss: 7.462986469268799
Batch: 10, Loss: 7.281033039093018
Batch: 11, Loss: 7.771012306213379
Batch: 12, Loss: 7.743344306945801
Batch: 13, Loss: 7.645419597625732
Batch: 14, Loss: 7.318934917449951

Epoch 41 out of 2000Batch: 1, Loss: 7.1378068923950195
Batch: 2, Loss: 7.6430487632751465
Batch: 3, Loss: 7.797008991241455
Batch: 4, Loss: 7.478437900543213
Batch: 5, Loss: 7.629979133605957
Batch: 6, Loss: 7.589933395385742
Batch: 7, Loss: 7.635220527648926
Batch: 8, Loss: 7.808137893676758
Batch: 9, Loss: 7.389942646026611
Batch: 10, Loss: 7.961324214935303
Batch: 11, Loss: 7.635312557220459
Batch: 12, Loss: 7.595307350158691
Batch: 13, Loss: 8.078387260437012
Batch: 14, Loss: 7.1322245597839355

Epoch 42 out of 2000Batch: 1, Loss: 7.397344589233398
Batch: 2, Loss: 7.25728702545166
Batch: 3, Loss: 7.597677707672119
Batch: 4, Loss: 7.196158409118652
Batch: 5, Loss: 7.694732666015625
Batch: 6, Loss: 7.024880886077881
Batch: 7, Loss: 7.058206558227539
Batch: 8, Loss: 7.664847373962402
Batch: 9, Loss: 7.73433780670166
Batch: 10, Loss: 7.479039192199707
Batch: 11, Loss: 7.31046199798584
Batch: 12, Loss: 7.565159797668457
Batch: 13, Loss: 7.46840763092041
Batch: 14, Loss: 7.474876403808594

Epoch 43 out of 2000Batch: 1, Loss: 7.590305328369141
Batch: 2, Loss: 7.57390832901001
Batch: 3, Loss: 7.6874098777771
Batch: 4, Loss: 7.326111316680908
Batch: 5, Loss: 7.295412540435791
Batch: 6, Loss: 7.632351398468018
Batch: 7, Loss: 7.442176818847656
Batch: 8, Loss: 7.225893020629883
Batch: 9, Loss: 7.587707042694092
Batch: 10, Loss: 7.563149929046631
Batch: 11, Loss: 7.588900566101074
Batch: 12, Loss: 7.617690086364746
Batch: 13, Loss: 7.496392726898193
Batch: 14, Loss: 6.955493927001953

Epoch 44 out of 2000Batch: 1, Loss: 7.324615478515625
Batch: 2, Loss: 6.927003383636475
Batch: 3, Loss: 7.197373867034912
Batch: 4, Loss: 7.417144298553467
Batch: 5, Loss: 7.104475498199463
Batch: 6, Loss: 6.997908115386963
Batch: 7, Loss: 6.915808200836182
Batch: 8, Loss: 7.134610652923584
Batch: 9, Loss: 7.348791599273682
Batch: 10, Loss: 7.127333641052246
Batch: 11, Loss: 6.797506332397461
Batch: 12, Loss: 6.499114513397217
Batch: 13, Loss: 6.4912495613098145
Batch: 14, Loss: 7.096771240234375

Epoch 45 out of 2000Batch: 1, Loss: 7.994129180908203
Batch: 2, Loss: 7.017436981201172
Batch: 3, Loss: 7.316004276275635
Batch: 4, Loss: 7.750971794128418
Batch: 5, Loss: 7.488574504852295
Batch: 6, Loss: 7.344296932220459
Batch: 7, Loss: 7.527384281158447
Batch: 8, Loss: 7.544767379760742
Batch: 9, Loss: 7.917145252227783
Batch: 10, Loss: 7.439125061035156
Batch: 11, Loss: 7.809083461761475
Batch: 12, Loss: 7.29249906539917
Batch: 13, Loss: 7.595306396484375
Batch: 14, Loss: 7.388632297515869

Epoch 46 out of 2000Batch: 1, Loss: 6.394713401794434
Batch: 2, Loss: 6.262265205383301
Batch: 3, Loss: 6.551106929779053
Batch: 4, Loss: 5.982705116271973
Batch: 5, Loss: 5.805661678314209
Batch: 6, Loss: 6.2000017166137695
Batch: 7, Loss: 6.248691558837891
Batch: 8, Loss: 5.989522457122803
Batch: 9, Loss: 6.314854621887207
Batch: 10, Loss: 6.319121360778809
Batch: 11, Loss: 6.493471145629883
Batch: 12, Loss: 6.211798191070557
Batch: 13, Loss: 6.1902570724487305
Batch: 14, Loss: 6.360259532928467

Epoch 47 out of 2000Batch: 1, Loss: 7.682934761047363
Batch: 2, Loss: 7.91456413269043
Batch: 3, Loss: 8.102523803710938
Batch: 4, Loss: 8.699057579040527
Batch: 5, Loss: 8.137472152709961
Batch: 6, Loss: 7.583312511444092
Batch: 7, Loss: 7.6669440269470215
Batch: 8, Loss: 7.858158588409424
Batch: 9, Loss: 7.613863945007324
Batch: 10, Loss: 7.325061798095703
Batch: 11, Loss: 8.052736282348633
Batch: 12, Loss: 7.346005916595459
Batch: 13, Loss: 7.444416046142578
Batch: 14, Loss: 7.300511360168457

Epoch 48 out of 2000Batch: 1, Loss: 7.793323040008545
Batch: 2, Loss: 7.379281997680664
Batch: 3, Loss: 7.212667465209961
Batch: 4, Loss: 7.376772880554199
Batch: 5, Loss: 7.6684980392456055
Batch: 6, Loss: 7.785469055175781
Batch: 7, Loss: 7.499057292938232
Batch: 8, Loss: 7.830666542053223
Batch: 9, Loss: 7.532487392425537
Batch: 10, Loss: 7.698414325714111
Batch: 11, Loss: 8.118769645690918
Batch: 12, Loss: 7.733436107635498
Batch: 13, Loss: 7.420522212982178
Batch: 14, Loss: 7.044177055358887

Epoch 49 out of 2000Batch: 1, Loss: 6.766819000244141
Batch: 2, Loss: 7.193127155303955
Batch: 3, Loss: 6.98573637008667
Batch: 4, Loss: 6.816336631774902
Batch: 5, Loss: 7.1267313957214355
Batch: 6, Loss: 6.940865516662598
Batch: 7, Loss: 7.145584583282471
Batch: 8, Loss: 6.9040422439575195
Batch: 9, Loss: 6.958603382110596
Batch: 10, Loss: 6.895288467407227
Batch: 11, Loss: 6.855592250823975
Batch: 12, Loss: 6.705226898193359
Batch: 13, Loss: 7.027975559234619
Batch: 14, Loss: 6.962980270385742

Epoch 50 out of 2000Batch: 1, Loss: 7.366079330444336
Batch: 2, Loss: 7.670934200286865
Batch: 3, Loss: 7.389729976654053
Batch: 4, Loss: 7.526963233947754
Batch: 5, Loss: 7.5768914222717285
Batch: 6, Loss: 7.891210556030273
Batch: 7, Loss: 7.470196723937988
Batch: 8, Loss: 7.520089149475098
Batch: 9, Loss: 7.44631290435791
Batch: 10, Loss: 7.531017780303955
Batch: 11, Loss: 7.33204460144043
Batch: 12, Loss: 7.364738464355469
Batch: 13, Loss: 7.318597316741943
Batch: 14, Loss: 7.727908611297607

Epoch 51 out of 2000Batch: 1, Loss: 7.579535961151123
Batch: 2, Loss: 7.604560852050781
Batch: 3, Loss: 7.541243076324463
Batch: 4, Loss: 7.261159420013428
Batch: 5, Loss: 7.262716770172119
Batch: 6, Loss: 7.501424312591553
Batch: 7, Loss: 7.297022819519043
Batch: 8, Loss: 7.658252716064453
Batch: 9, Loss: 7.553589344024658
Batch: 10, Loss: 7.430466175079346
Batch: 11, Loss: 7.486516952514648
Batch: 12, Loss: 7.873631954193115
Batch: 13, Loss: 7.422300338745117
Batch: 14, Loss: 7.284532070159912

Epoch 52 out of 2000Batch: 1, Loss: 7.031269073486328
Batch: 2, Loss: 7.848986625671387
Batch: 3, Loss: 7.6403422355651855
Batch: 4, Loss: 7.121187210083008
Batch: 5, Loss: 7.6188764572143555
Batch: 6, Loss: 7.522540092468262
Batch: 7, Loss: 7.258356094360352
Batch: 8, Loss: 7.619215965270996
Batch: 9, Loss: 7.4598846435546875
Batch: 10, Loss: 7.150884628295898
Batch: 11, Loss: 7.335002899169922
Batch: 12, Loss: 7.523345470428467
Batch: 13, Loss: 7.814327239990234
Batch: 14, Loss: 7.398917198181152

Epoch 53 out of 2000Batch: 1, Loss: 7.4176459312438965
Batch: 2, Loss: 7.385398864746094
Batch: 3, Loss: 7.05951452255249
Batch: 4, Loss: 7.600537300109863
Batch: 5, Loss: 7.561263561248779
Batch: 6, Loss: 7.257518768310547
Batch: 7, Loss: 7.217218399047852
Batch: 8, Loss: 7.461880207061768
Batch: 9, Loss: 7.308581352233887
Batch: 10, Loss: 7.725757122039795
Batch: 11, Loss: 7.558960914611816
Batch: 12, Loss: 7.115146636962891
Batch: 13, Loss: 7.797519207000732
Batch: 14, Loss: 7.506619453430176

Epoch 54 out of 2000Batch: 1, Loss: 7.286978244781494
Batch: 2, Loss: 7.032135963439941
Batch: 3, Loss: 7.53452730178833
Batch: 4, Loss: 6.807910919189453
Batch: 5, Loss: 7.245662212371826
Batch: 6, Loss: 7.946627616882324
Batch: 7, Loss: 7.545712471008301
Batch: 8, Loss: 7.547688007354736
Batch: 9, Loss: 7.243282318115234
Batch: 10, Loss: 7.200174331665039
Batch: 11, Loss: 7.306236267089844
Batch: 12, Loss: 7.968938827514648
Batch: 13, Loss: 7.46914529800415
Batch: 14, Loss: 7.6343488693237305

Epoch 55 out of 2000Batch: 1, Loss: 7.600791931152344
Batch: 2, Loss: 7.05237340927124
Batch: 3, Loss: 7.44821834564209
Batch: 4, Loss: 7.497063636779785
Batch: 5, Loss: 7.2092719078063965
Batch: 6, Loss: 7.608808994293213
Batch: 7, Loss: 7.035467624664307
Batch: 8, Loss: 7.301912307739258
Batch: 9, Loss: 8.078886985778809
Batch: 10, Loss: 7.499397277832031
Batch: 11, Loss: 7.2697577476501465
Batch: 12, Loss: 7.170557975769043
Batch: 13, Loss: 7.738405227661133
Batch: 14, Loss: 7.006256103515625

Epoch 56 out of 2000Batch: 1, Loss: 7.648859977722168
Batch: 2, Loss: 7.656069278717041
Batch: 3, Loss: 7.4268999099731445
Batch: 4, Loss: 7.939401626586914
Batch: 5, Loss: 7.451574325561523
Batch: 6, Loss: 7.402614593505859
Batch: 7, Loss: 7.402265548706055
Batch: 8, Loss: 7.370781421661377
Batch: 9, Loss: 7.94379997253418
Batch: 10, Loss: 7.406612396240234
Batch: 11, Loss: 6.903968811035156
Batch: 12, Loss: 7.233881950378418
Batch: 13, Loss: 7.286665439605713
Batch: 14, Loss: 6.66563606262207

Epoch 57 out of 2000Batch: 1, Loss: 7.765999794006348
Batch: 2, Loss: 7.374444007873535
Batch: 3, Loss: 7.620251178741455
Batch: 4, Loss: 7.400959014892578
Batch: 5, Loss: 7.290789604187012
Batch: 6, Loss: 7.053805828094482
Batch: 7, Loss: 7.325307369232178
Batch: 8, Loss: 7.308426856994629
Batch: 9, Loss: 7.278383731842041
Batch: 10, Loss: 7.0895209312438965
Batch: 11, Loss: 7.742935657501221
Batch: 12, Loss: 7.570366859436035
Batch: 13, Loss: 7.507164001464844
Batch: 14, Loss: 6.81024169921875

Epoch 58 out of 2000Batch: 1, Loss: 7.071238040924072
Batch: 2, Loss: 7.317084312438965
Batch: 3, Loss: 7.461686134338379
Batch: 4, Loss: 7.108959197998047
Batch: 5, Loss: 7.8071370124816895
Batch: 6, Loss: 7.280014991760254
Batch: 7, Loss: 7.528170585632324
Batch: 8, Loss: 7.0792741775512695
Batch: 9, Loss: 8.009133338928223
Batch: 10, Loss: 7.531156539916992
Batch: 11, Loss: 7.343084335327148
Batch: 12, Loss: 7.085585117340088
Batch: 13, Loss: 7.1786651611328125
Batch: 14, Loss: 7.884459018707275

Epoch 59 out of 2000Batch: 1, Loss: 6.971447467803955
Batch: 2, Loss: 7.357208728790283
Batch: 3, Loss: 7.675997734069824
Batch: 4, Loss: 7.160478591918945
Batch: 5, Loss: 7.602113723754883
Batch: 6, Loss: 7.6596269607543945
Batch: 7, Loss: 6.876770973205566
Batch: 8, Loss: 7.26146125793457
Batch: 9, Loss: 7.543468475341797
Batch: 10, Loss: 7.677295684814453
Batch: 11, Loss: 7.521183967590332
Batch: 12, Loss: 7.652825832366943
Batch: 13, Loss: 7.593069553375244
Batch: 14, Loss: 7.201169967651367

Epoch 60 out of 2000Batch: 1, Loss: 7.432466506958008
Batch: 2, Loss: 7.240054607391357
Batch: 3, Loss: 7.186990261077881
Batch: 4, Loss: 7.274890899658203
Batch: 5, Loss: 7.260390281677246
Batch: 6, Loss: 7.338306903839111
Batch: 7, Loss: 7.381532669067383
Batch: 8, Loss: 7.710775375366211
Batch: 9, Loss: 7.011302471160889
Batch: 10, Loss: 7.343836307525635
Batch: 11, Loss: 7.235107421875
Batch: 12, Loss: 7.523616313934326
Batch: 13, Loss: 6.875869274139404
Batch: 14, Loss: 7.006814479827881

Epoch 61 out of 2000Batch: 1, Loss: 6.91378927230835
Batch: 2, Loss: 7.1332597732543945
Batch: 3, Loss: 6.911494731903076
Batch: 4, Loss: 6.743350982666016
Batch: 5, Loss: 6.9272589683532715
Batch: 6, Loss: 6.866818904876709
Batch: 7, Loss: 6.834436893463135
Batch: 8, Loss: 7.092511177062988
Batch: 9, Loss: 6.999369144439697
Batch: 10, Loss: 6.753415584564209
Batch: 11, Loss: 6.6411590576171875
Batch: 12, Loss: 6.957487106323242
Batch: 13, Loss: 6.544041156768799
Batch: 14, Loss: 6.775254249572754

Epoch 62 out of 2000Batch: 1, Loss: 7.333604335784912
Batch: 2, Loss: 6.410362243652344
Batch: 3, Loss: 7.054166793823242
Batch: 4, Loss: 6.374022960662842
Batch: 5, Loss: 6.699273586273193
Batch: 6, Loss: 7.0522894859313965
Batch: 7, Loss: 6.89964485168457
Batch: 8, Loss: 6.870771408081055
Batch: 9, Loss: 6.782897472381592
Batch: 10, Loss: 6.3673577308654785
Batch: 11, Loss: 6.760152339935303
Batch: 12, Loss: 6.759187698364258
Batch: 13, Loss: 7.096804141998291
Batch: 14, Loss: 7.171116828918457

Epoch 63 out of 2000Batch: 1, Loss: 6.770739555358887
Batch: 2, Loss: 6.95455265045166
Batch: 3, Loss: 7.089184284210205
Batch: 4, Loss: 6.871710777282715
Batch: 5, Loss: 7.352537631988525
Batch: 6, Loss: 6.585887908935547
Batch: 7, Loss: 6.5768961906433105
Batch: 8, Loss: 6.758606433868408
Batch: 9, Loss: 6.779995441436768
Batch: 10, Loss: 7.08689546585083
Batch: 11, Loss: 6.782513618469238
Batch: 12, Loss: 6.707918167114258
Batch: 13, Loss: 6.548192977905273
Batch: 14, Loss: 6.561730861663818

Epoch 64 out of 2000Batch: 1, Loss: 7.026318550109863
Batch: 2, Loss: 6.747451305389404
Batch: 3, Loss: 6.983273983001709
Batch: 4, Loss: 6.631645679473877
Batch: 5, Loss: 6.959066390991211
Batch: 6, Loss: 6.727052211761475
Batch: 7, Loss: 7.012659549713135
Batch: 8, Loss: 6.871471405029297
Batch: 9, Loss: 6.583921909332275
Batch: 10, Loss: 6.893016338348389
Batch: 11, Loss: 6.523111343383789
Batch: 12, Loss: 6.7873945236206055
Batch: 13, Loss: 6.8599467277526855
Batch: 14, Loss: 5.907695293426514

Epoch 65 out of 2000Batch: 1, Loss: 7.502610206604004
Batch: 2, Loss: 7.566674709320068
Batch: 3, Loss: 7.363464832305908
Batch: 4, Loss: 7.302368640899658
Batch: 5, Loss: 7.77941370010376
Batch: 6, Loss: 7.478716850280762
Batch: 7, Loss: 7.511263370513916
Batch: 8, Loss: 6.930612087249756
Batch: 9, Loss: 7.297153949737549
Batch: 10, Loss: 7.669095039367676
Batch: 11, Loss: 7.473089694976807
Batch: 12, Loss: 7.2382893562316895
Batch: 13, Loss: 7.76314115524292
Batch: 14, Loss: 7.14797306060791

Epoch 66 out of 2000Batch: 1, Loss: 7.18959379196167
Batch: 2, Loss: 7.415387153625488
Batch: 3, Loss: 7.393677711486816
Batch: 4, Loss: 7.197296619415283
Batch: 5, Loss: 7.594670295715332
Batch: 6, Loss: 7.517486095428467
Batch: 7, Loss: 7.6286773681640625
Batch: 8, Loss: 7.598445415496826
Batch: 9, Loss: 7.203334331512451
Batch: 10, Loss: 7.540720462799072
Batch: 11, Loss: 7.1956892013549805
Batch: 12, Loss: 7.662097454071045
Batch: 13, Loss: 7.708444118499756
Batch: 14, Loss: 7.743168830871582

Epoch 67 out of 2000Batch: 1, Loss: 7.365479469299316
Batch: 2, Loss: 7.416244983673096
Batch: 3, Loss: 7.393946170806885
Batch: 4, Loss: 7.095812797546387
Batch: 5, Loss: 7.11737060546875
Batch: 6, Loss: 7.265783786773682
Batch: 7, Loss: 7.43817138671875
Batch: 8, Loss: 7.708193302154541
Batch: 9, Loss: 6.953507423400879
Batch: 10, Loss: 7.3887505531311035
Batch: 11, Loss: 7.439638137817383
Batch: 12, Loss: 7.126914978027344
Batch: 13, Loss: 7.2547736167907715
Batch: 14, Loss: 7.125875949859619

Epoch 68 out of 2000Batch: 1, Loss: 6.938575267791748
Batch: 2, Loss: 7.321934700012207
Batch: 3, Loss: 7.427848815917969
Batch: 4, Loss: 7.297016620635986
Batch: 5, Loss: 7.563373565673828
Batch: 6, Loss: 7.7187724113464355
Batch: 7, Loss: 7.290078163146973
Batch: 8, Loss: 7.529178142547607
Batch: 9, Loss: 7.562161922454834
Batch: 10, Loss: 7.098402500152588
Batch: 11, Loss: 7.206353664398193
Batch: 12, Loss: 7.4209723472595215
Batch: 13, Loss: 7.189881324768066
Batch: 14, Loss: 7.352005958557129

Epoch 69 out of 2000Batch: 1, Loss: 6.875163555145264
Batch: 2, Loss: 7.1533403396606445
Batch: 3, Loss: 6.93474817276001
Batch: 4, Loss: 7.27706241607666
Batch: 5, Loss: 6.809047698974609
Batch: 6, Loss: 6.9808454513549805
Batch: 7, Loss: 7.188774585723877
Batch: 8, Loss: 7.023132801055908
Batch: 9, Loss: 7.163120269775391
Batch: 10, Loss: 6.7253899574279785
Batch: 11, Loss: 7.167762279510498
Batch: 12, Loss: 6.897767066955566
Batch: 13, Loss: 6.894656181335449
Batch: 14, Loss: 7.046231746673584

Epoch 70 out of 2000Batch: 1, Loss: 7.062710285186768
Batch: 2, Loss: 7.660197734832764
Batch: 3, Loss: 7.111083030700684
Batch: 4, Loss: 7.426906108856201
Batch: 5, Loss: 7.114885330200195
Batch: 6, Loss: 7.320640563964844
Batch: 7, Loss: 7.16647481918335
Batch: 8, Loss: 7.1860761642456055
Batch: 9, Loss: 7.227007865905762
Batch: 10, Loss: 7.067445755004883
Batch: 11, Loss: 7.428599834442139
Batch: 12, Loss: 7.181952476501465
Batch: 13, Loss: 7.5936970710754395
Batch: 14, Loss: 7.445151329040527

Epoch 71 out of 2000Batch: 1, Loss: 7.389055252075195
Batch: 2, Loss: 7.141952991485596
Batch: 3, Loss: 7.489895343780518
Batch: 4, Loss: 7.285126686096191
Batch: 5, Loss: 7.343793869018555
Batch: 6, Loss: 7.071809768676758
Batch: 7, Loss: 7.494113445281982
Batch: 8, Loss: 7.431490421295166
Batch: 9, Loss: 7.113198757171631
Batch: 10, Loss: 7.505071640014648
Batch: 11, Loss: 7.161985874176025
Batch: 12, Loss: 6.99370002746582
Batch: 13, Loss: 6.953630447387695
Batch: 14, Loss: 7.579950332641602

Epoch 72 out of 2000Batch: 1, Loss: 7.464326858520508
Batch: 2, Loss: 7.126611709594727
Batch: 3, Loss: 7.6115641593933105
Batch: 4, Loss: 7.621504306793213
Batch: 5, Loss: 7.170295238494873
Batch: 6, Loss: 7.394957542419434
Batch: 7, Loss: 7.740687847137451
Batch: 8, Loss: 7.507730007171631
Batch: 9, Loss: 7.6800923347473145
Batch: 10, Loss: 7.529209136962891
Batch: 11, Loss: 7.047369003295898
Batch: 12, Loss: 7.64561653137207
Batch: 13, Loss: 7.140222549438477
Batch: 14, Loss: 7.032092571258545

Epoch 73 out of 2000Batch: 1, Loss: 7.1463751792907715
Batch: 2, Loss: 7.122283935546875
Batch: 3, Loss: 6.782037258148193
Batch: 4, Loss: 6.423087120056152
Batch: 5, Loss: 7.0080132484436035
Batch: 6, Loss: 6.920821189880371
Batch: 7, Loss: 7.409152984619141
Batch: 8, Loss: 6.933838367462158
Batch: 9, Loss: 6.989163875579834
Batch: 10, Loss: 6.9196696281433105
Batch: 11, Loss: 6.8925700187683105
Batch: 12, Loss: 6.906889915466309
Batch: 13, Loss: 6.621351718902588
Batch: 14, Loss: 6.303274631500244

Epoch 74 out of 2000Batch: 1, Loss: 7.1078033447265625
Batch: 2, Loss: 7.032017230987549
Batch: 3, Loss: 7.0193586349487305
Batch: 4, Loss: 7.030264854431152
Batch: 5, Loss: 7.236148357391357
Batch: 6, Loss: 7.34407901763916
Batch: 7, Loss: 7.380189418792725
Batch: 8, Loss: 7.061056137084961
Batch: 9, Loss: 6.816338062286377
Batch: 10, Loss: 6.855968952178955
Batch: 11, Loss: 7.131842136383057
Batch: 12, Loss: 6.666181564331055
Batch: 13, Loss: 6.792942523956299
Batch: 14, Loss: 6.6845383644104

Epoch 75 out of 2000Batch: 1, Loss: 7.666873455047607
Batch: 2, Loss: 7.477555751800537
Batch: 3, Loss: 7.271814823150635
Batch: 4, Loss: 7.703004360198975
Batch: 5, Loss: 7.674076080322266
Batch: 6, Loss: 7.704091548919678
Batch: 7, Loss: 7.420833110809326
Batch: 8, Loss: 7.206892967224121
Batch: 9, Loss: 6.997694492340088
Batch: 10, Loss: 7.124092102050781
Batch: 11, Loss: 7.385221004486084
Batch: 12, Loss: 7.595771312713623
Batch: 13, Loss: 7.585576057434082
Batch: 14, Loss: 7.26857852935791

Epoch 76 out of 2000Batch: 1, Loss: 7.510316848754883
Batch: 2, Loss: 7.433021068572998
Batch: 3, Loss: 7.577824592590332
Batch: 4, Loss: 7.456693649291992
Batch: 5, Loss: 7.468542575836182
Batch: 6, Loss: 7.354129791259766
Batch: 7, Loss: 7.285617351531982
Batch: 8, Loss: 7.441263675689697
Batch: 9, Loss: 7.034656524658203
Batch: 10, Loss: 7.197128772735596
Batch: 11, Loss: 6.661771297454834
Batch: 12, Loss: 7.283516883850098
Batch: 13, Loss: 7.094165325164795
Batch: 14, Loss: 7.759763240814209

Epoch 77 out of 2000Batch: 1, Loss: 7.753387451171875
Batch: 2, Loss: 7.579777240753174
Batch: 3, Loss: 7.062720775604248
Batch: 4, Loss: 7.5778279304504395
Batch: 5, Loss: 7.163566589355469
Batch: 6, Loss: 7.301652908325195
Batch: 7, Loss: 7.118422508239746
Batch: 8, Loss: 6.628468036651611
Batch: 9, Loss: 7.547876834869385
Batch: 10, Loss: 7.143721580505371
Batch: 11, Loss: 6.903948783874512
Batch: 12, Loss: 7.219891548156738
Batch: 13, Loss: 6.907171249389648
Batch: 14, Loss: 7.329126358032227

Epoch 78 out of 2000Batch: 1, Loss: 6.44799280166626
Batch: 2, Loss: 6.455690860748291
Batch: 3, Loss: 6.679861545562744
Batch: 4, Loss: 6.724359512329102
Batch: 5, Loss: 6.729030132293701
Batch: 6, Loss: 6.799893379211426
Batch: 7, Loss: 6.682814598083496
Batch: 8, Loss: 6.624714374542236
Batch: 9, Loss: 6.714991569519043
Batch: 10, Loss: 6.271047115325928
Batch: 11, Loss: 6.755084037780762
Batch: 12, Loss: 6.906791687011719
Batch: 13, Loss: 6.5342888832092285
Batch: 14, Loss: 6.583629131317139

Epoch 79 out of 2000Batch: 1, Loss: 7.218478679656982
Batch: 2, Loss: 7.077420711517334
Batch: 3, Loss: 6.584898471832275
Batch: 4, Loss: 7.270814418792725
Batch: 5, Loss: 6.684477806091309
Batch: 6, Loss: 6.710987091064453
Batch: 7, Loss: 6.638178825378418
Batch: 8, Loss: 6.817426681518555
Batch: 9, Loss: 6.669938087463379
Batch: 10, Loss: 6.382813453674316
Batch: 11, Loss: 6.811742782592773
Batch: 12, Loss: 6.849996566772461
Batch: 13, Loss: 6.743481159210205
Batch: 14, Loss: 7.0066680908203125

Epoch 80 out of 2000Batch: 1, Loss: 7.701976299285889
Batch: 2, Loss: 6.699648380279541
Batch: 3, Loss: 7.093872547149658
Batch: 4, Loss: 7.027611255645752
Batch: 5, Loss: 7.254815578460693
Batch: 6, Loss: 7.6503682136535645
Batch: 7, Loss: 7.522404670715332
Batch: 8, Loss: 7.424387454986572
Batch: 9, Loss: 7.60467529296875
Batch: 10, Loss: 7.469873428344727
Batch: 11, Loss: 7.466497421264648
Batch: 12, Loss: 7.567919731140137
Batch: 13, Loss: 7.085811614990234
Batch: 14, Loss: 7.075741767883301

Epoch 81 out of 2000Batch: 1, Loss: 7.226048469543457
Batch: 2, Loss: 7.234353065490723
Batch: 3, Loss: 7.940670967102051
Batch: 4, Loss: 7.380093574523926
Batch: 5, Loss: 7.631582260131836
Batch: 6, Loss: 6.9488606452941895
Batch: 7, Loss: 7.204366683959961
Batch: 8, Loss: 7.225992679595947
Batch: 9, Loss: 7.094601154327393
Batch: 10, Loss: 7.48488187789917
Batch: 11, Loss: 7.472426414489746
Batch: 12, Loss: 6.868656158447266
Batch: 13, Loss: 7.5655107498168945
Batch: 14, Loss: 6.756307125091553

Epoch 82 out of 2000Batch: 1, Loss: 7.030277252197266
Batch: 2, Loss: 7.205994606018066
Batch: 3, Loss: 7.153514385223389
Batch: 4, Loss: 7.372656345367432
Batch: 5, Loss: 7.18150520324707
Batch: 6, Loss: 7.454123020172119
Batch: 7, Loss: 7.479680061340332
Batch: 8, Loss: 7.236051082611084
Batch: 9, Loss: 7.330318927764893
Batch: 10, Loss: 7.207098960876465
Batch: 11, Loss: 6.919679641723633
Batch: 12, Loss: 7.541103839874268
Batch: 13, Loss: 7.019967079162598
Batch: 14, Loss: 7.404246807098389

Epoch 83 out of 2000Batch: 1, Loss: 7.455662727355957
Batch: 2, Loss: 7.421889781951904
Batch: 3, Loss: 7.671806812286377
Batch: 4, Loss: 6.998773097991943
Batch: 5, Loss: 7.247270584106445
Batch: 6, Loss: 7.2470784187316895
Batch: 7, Loss: 7.021378517150879
Batch: 8, Loss: 7.026430606842041
Batch: 9, Loss: 7.23536491394043
Batch: 10, Loss: 7.312270164489746
Batch: 11, Loss: 7.366683483123779
Batch: 12, Loss: 7.0882415771484375
Batch: 13, Loss: 7.106655597686768
Batch: 14, Loss: 7.078098773956299

Epoch 84 out of 2000Batch: 1, Loss: 7.245316982269287
Batch: 2, Loss: 7.289000988006592
Batch: 3, Loss: 7.044492721557617
Batch: 4, Loss: 7.306073188781738
Batch: 5, Loss: 7.662779808044434
Batch: 6, Loss: 7.569328308105469
Batch: 7, Loss: 7.144598960876465
Batch: 8, Loss: 6.9942946434021
Batch: 9, Loss: 6.631128311157227
Batch: 10, Loss: 7.160366535186768
Batch: 11, Loss: 7.7006096839904785
Batch: 12, Loss: 7.753226280212402
Batch: 13, Loss: 7.634411811828613
Batch: 14, Loss: 7.514585018157959

Epoch 85 out of 2000Batch: 1, Loss: 6.682267665863037
Batch: 2, Loss: 6.736544132232666
Batch: 3, Loss: 7.065793037414551
Batch: 4, Loss: 6.446502685546875
Batch: 5, Loss: 6.881706714630127
Batch: 6, Loss: 6.608874797821045
Batch: 7, Loss: 6.427351474761963
Batch: 8, Loss: 6.630648136138916
Batch: 9, Loss: 6.382134914398193
Batch: 10, Loss: 6.520771026611328
Batch: 11, Loss: 6.532413482666016
Batch: 12, Loss: 6.4128522872924805
Batch: 13, Loss: 6.391937732696533
Batch: 14, Loss: 6.4267096519470215

Epoch 86 out of 2000Batch: 1, Loss: 8.214215278625488
Batch: 2, Loss: 7.751037120819092
Batch: 3, Loss: 7.128077030181885
Batch: 4, Loss: 7.577771186828613
Batch: 5, Loss: 7.546146392822266
Batch: 6, Loss: 7.318118095397949
Batch: 7, Loss: 7.642807483673096
Batch: 8, Loss: 7.3760271072387695
Batch: 9, Loss: 7.366477966308594
Batch: 10, Loss: 7.193877220153809
Batch: 11, Loss: 7.163815498352051
Batch: 12, Loss: 7.72374963760376
Batch: 13, Loss: 7.370299816131592
Batch: 14, Loss: 7.606413841247559

Epoch 87 out of 2000Batch: 1, Loss: 7.240338325500488
Batch: 2, Loss: 7.15617561340332
Batch: 3, Loss: 7.082475662231445
Batch: 4, Loss: 7.044795513153076
Batch: 5, Loss: 7.012881755828857
Batch: 6, Loss: 6.8767409324646
Batch: 7, Loss: 7.129432678222656
Batch: 8, Loss: 7.361019611358643
Batch: 9, Loss: 7.437294960021973
Batch: 10, Loss: 7.505827903747559
Batch: 11, Loss: 6.731667995452881
Batch: 12, Loss: 7.131554126739502
Batch: 13, Loss: 7.530892848968506
Batch: 14, Loss: 7.0383076667785645

Epoch 88 out of 2000Batch: 1, Loss: 6.762534141540527
Batch: 2, Loss: 7.195347309112549
Batch: 3, Loss: 6.668020725250244
Batch: 4, Loss: 7.3729143142700195
Batch: 5, Loss: 7.034608364105225
Batch: 6, Loss: 7.241875648498535
Batch: 7, Loss: 7.395380973815918
Batch: 8, Loss: 7.241724491119385
Batch: 9, Loss: 7.089794158935547
Batch: 10, Loss: 7.332184791564941
Batch: 11, Loss: 7.243680477142334
Batch: 12, Loss: 6.954769611358643
Batch: 13, Loss: 7.03767204284668
Batch: 14, Loss: 7.081258296966553

Epoch 89 out of 2000Batch: 1, Loss: 7.084860324859619
Batch: 2, Loss: 7.629202365875244
Batch: 3, Loss: 7.317266941070557
Batch: 4, Loss: 7.705849647521973
Batch: 5, Loss: 7.322963714599609
Batch: 6, Loss: 7.273591995239258
Batch: 7, Loss: 7.314610004425049
Batch: 8, Loss: 6.994053363800049
Batch: 9, Loss: 7.148428916931152
Batch: 10, Loss: 7.275656223297119
Batch: 11, Loss: 7.207935333251953
Batch: 12, Loss: 7.41659688949585
Batch: 13, Loss: 7.5260796546936035
Batch: 14, Loss: 7.363112926483154

Epoch 90 out of 2000Batch: 1, Loss: 7.298646926879883
Batch: 2, Loss: 7.363289833068848
Batch: 3, Loss: 7.609478950500488
Batch: 4, Loss: 7.152798652648926
Batch: 5, Loss: 6.893556594848633
Batch: 6, Loss: 7.013868808746338
Batch: 7, Loss: 6.977354526519775
Batch: 8, Loss: 7.269301414489746
Batch: 9, Loss: 6.880279064178467
Batch: 10, Loss: 6.849387168884277
Batch: 11, Loss: 7.407947063446045
Batch: 12, Loss: 7.220719814300537
Batch: 13, Loss: 6.824308395385742
Batch: 14, Loss: 7.036017894744873

Epoch 91 out of 2000Batch: 1, Loss: 7.187441825866699
Batch: 2, Loss: 6.706513404846191
Batch: 3, Loss: 6.959628105163574
Batch: 4, Loss: 7.109446048736572
Batch: 5, Loss: 7.162818431854248
Batch: 6, Loss: 6.511314868927002
Batch: 7, Loss: 6.617190361022949
Batch: 8, Loss: 6.722463607788086
Batch: 9, Loss: 6.770492076873779
Batch: 10, Loss: 6.663703918457031
Batch: 11, Loss: 6.6242780685424805
Batch: 12, Loss: 6.7478718757629395
Batch: 13, Loss: 6.896846294403076
Batch: 14, Loss: 6.644919395446777

Epoch 92 out of 2000Batch: 1, Loss: 6.838599681854248
Batch: 2, Loss: 6.7466721534729
Batch: 3, Loss: 7.080841064453125
Batch: 4, Loss: 7.374892234802246
Batch: 5, Loss: 7.135104179382324
Batch: 6, Loss: 7.029168128967285
Batch: 7, Loss: 7.471438407897949
Batch: 8, Loss: 7.390640735626221
Batch: 9, Loss: 7.119458198547363
Batch: 10, Loss: 7.081286907196045
Batch: 11, Loss: 7.511166572570801
Batch: 12, Loss: 7.683465957641602
Batch: 13, Loss: 7.274084091186523
Batch: 14, Loss: 7.798977851867676

Epoch 93 out of 2000Batch: 1, Loss: 7.467528820037842
Batch: 2, Loss: 7.406120777130127
Batch: 3, Loss: 7.160978317260742
Batch: 4, Loss: 6.933370113372803
Batch: 5, Loss: 7.282321929931641
Batch: 6, Loss: 7.1143798828125
Batch: 7, Loss: 7.181387901306152
Batch: 8, Loss: 7.339172840118408
Batch: 9, Loss: 7.167693138122559
Batch: 10, Loss: 7.414326190948486
Batch: 11, Loss: 6.9513983726501465
Batch: 12, Loss: 6.952526092529297
Batch: 13, Loss: 7.193175315856934
Batch: 14, Loss: 6.906204700469971

Epoch 94 out of 2000Batch: 1, Loss: 7.4256062507629395
Batch: 2, Loss: 7.311343193054199
Batch: 3, Loss: 7.191842079162598
Batch: 4, Loss: 7.075107097625732
Batch: 5, Loss: 7.210182189941406
Batch: 6, Loss: 7.186660289764404
Batch: 7, Loss: 7.320099830627441
Batch: 8, Loss: 7.011504650115967
Batch: 9, Loss: 6.901595592498779
Batch: 10, Loss: 7.055911540985107
Batch: 11, Loss: 7.404686450958252
Batch: 12, Loss: 6.892782211303711
Batch: 13, Loss: 7.330996036529541
Batch: 14, Loss: 7.472370147705078

Epoch 95 out of 2000Batch: 1, Loss: 6.9703898429870605
Batch: 2, Loss: 7.280623912811279
Batch: 3, Loss: 7.561720371246338
Batch: 4, Loss: 6.844755172729492
Batch: 5, Loss: 7.474219799041748
Batch: 6, Loss: 7.436398029327393
Batch: 7, Loss: 6.837125301361084
Batch: 8, Loss: 7.3065924644470215
Batch: 9, Loss: 7.126375675201416
Batch: 10, Loss: 7.690994739532471
Batch: 11, Loss: 7.233626365661621
Batch: 12, Loss: 7.045741081237793
Batch: 13, Loss: 7.06902551651001
Batch: 14, Loss: 7.326623439788818

Epoch 96 out of 2000Batch: 1, Loss: 6.529789447784424
Batch: 2, Loss: 6.3911919593811035
Batch: 3, Loss: 6.310997009277344
Batch: 4, Loss: 6.641811370849609
Batch: 5, Loss: 6.751421928405762
Batch: 6, Loss: 6.618487358093262
Batch: 7, Loss: 6.65283727645874
Batch: 8, Loss: 6.6366424560546875
Batch: 9, Loss: 6.748190879821777
Batch: 10, Loss: 6.589532375335693
Batch: 11, Loss: 6.475999355316162
Batch: 12, Loss: 6.418188571929932
Batch: 13, Loss: 6.511948108673096
Batch: 14, Loss: 6.619452953338623

Epoch 97 out of 2000Batch: 1, Loss: 7.379279136657715
Batch: 2, Loss: 7.1900315284729
Batch: 3, Loss: 7.902752876281738
Batch: 4, Loss: 7.793758869171143
Batch: 5, Loss: 7.090496063232422
Batch: 6, Loss: 7.316938400268555
Batch: 7, Loss: 7.160552501678467
Batch: 8, Loss: 7.301225662231445
Batch: 9, Loss: 7.147855758666992
Batch: 10, Loss: 7.232446670532227
Batch: 11, Loss: 7.425961017608643
Batch: 12, Loss: 7.112414836883545
Batch: 13, Loss: 7.424681186676025
Batch: 14, Loss: 7.491791248321533

Epoch 98 out of 2000Batch: 1, Loss: 7.2714924812316895
Batch: 2, Loss: 7.525426864624023
Batch: 3, Loss: 7.101558685302734
Batch: 4, Loss: 7.222423076629639
Batch: 5, Loss: 7.2322163581848145
Batch: 6, Loss: 6.6148247718811035
Batch: 7, Loss: 7.3129353523254395
Batch: 8, Loss: 7.045832633972168
Batch: 9, Loss: 7.0999064445495605
Batch: 10, Loss: 7.201120376586914
Batch: 11, Loss: 7.411060333251953
Batch: 12, Loss: 7.644686698913574
Batch: 13, Loss: 6.957043647766113
Batch: 14, Loss: 7.346774578094482

Epoch 99 out of 2000Batch: 1, Loss: 6.427382946014404
Batch: 2, Loss: 6.674283981323242
Batch: 3, Loss: 6.696099758148193
Batch: 4, Loss: 6.586761474609375
Batch: 5, Loss: 6.422762870788574
Batch: 6, Loss: 6.863148212432861
Batch: 7, Loss: 6.721796035766602
Batch: 8, Loss: 6.398139476776123
Batch: 9, Loss: 6.337693691253662
Batch: 10, Loss: 6.784546852111816
Batch: 11, Loss: 6.5454182624816895
Batch: 12, Loss: 6.279146194458008
Batch: 13, Loss: 6.13664436340332
Batch: 14, Loss: 6.742189407348633

Epoch 100 out of 2000Batch: 1, Loss: 6.956650257110596
Batch: 2, Loss: 7.145651340484619
Batch: 3, Loss: 6.746315002441406
Batch: 4, Loss: 7.14579439163208
Batch: 5, Loss: 6.552390098571777
Batch: 6, Loss: 7.089291095733643
Batch: 7, Loss: 6.5988545417785645
Batch: 8, Loss: 6.929804801940918
Batch: 9, Loss: 6.876338005065918
Batch: 10, Loss: 6.920120716094971
Batch: 11, Loss: 7.029489994049072
Batch: 12, Loss: 6.786818027496338
Batch: 13, Loss: 6.486283302307129
Batch: 14, Loss: 6.8759050369262695

Epoch 101 out of 2000Batch: 1, Loss: 7.468196392059326
Batch: 2, Loss: 7.516839027404785
Batch: 3, Loss: 7.142897129058838
Batch: 4, Loss: 7.269704341888428
Batch: 5, Loss: 7.218201160430908
Batch: 6, Loss: 7.4436187744140625
Batch: 7, Loss: 6.951341152191162
Batch: 8, Loss: 7.2137041091918945
Batch: 9, Loss: 6.9882307052612305
Batch: 10, Loss: 7.0786848068237305
Batch: 11, Loss: 7.428293704986572
Batch: 12, Loss: 7.001330375671387
Batch: 13, Loss: 7.064540863037109
Batch: 14, Loss: 7.614755630493164

Epoch 102 out of 2000Batch: 1, Loss: 7.200847148895264
Batch: 2, Loss: 7.533993721008301
Batch: 3, Loss: 7.194843292236328
Batch: 4, Loss: 7.011972904205322
Batch: 5, Loss: 7.005090713500977
Batch: 6, Loss: 7.058846473693848
Batch: 7, Loss: 7.062513828277588
Batch: 8, Loss: 6.919637680053711
Batch: 9, Loss: 7.328520774841309
Batch: 10, Loss: 7.2654008865356445
Batch: 11, Loss: 6.917140960693359
Batch: 12, Loss: 6.855718612670898
Batch: 13, Loss: 7.595081329345703
Batch: 14, Loss: 6.86942195892334

Epoch 103 out of 2000Batch: 1, Loss: 7.2473649978637695
Batch: 2, Loss: 6.885025501251221
Batch: 3, Loss: 6.85474157333374
Batch: 4, Loss: 6.222114086151123
Batch: 5, Loss: 6.5879974365234375
Batch: 6, Loss: 7.541975021362305
Batch: 7, Loss: 7.536143779754639
Batch: 8, Loss: 7.416379928588867
Batch: 9, Loss: 7.147451400756836
Batch: 10, Loss: 7.5729804039001465
Batch: 11, Loss: 7.139660835266113
Batch: 12, Loss: 7.236439228057861
Batch: 13, Loss: 6.900540351867676
Batch: 14, Loss: 7.142688274383545

Epoch 104 out of 2000Batch: 1, Loss: 7.227017402648926
Batch: 2, Loss: 7.1941657066345215
Batch: 3, Loss: 7.328806400299072
Batch: 4, Loss: 7.064343452453613
Batch: 5, Loss: 7.2023234367370605
Batch: 6, Loss: 7.102949142456055
Batch: 7, Loss: 7.5450639724731445
Batch: 8, Loss: 7.4268975257873535
Batch: 9, Loss: 7.345472812652588
Batch: 10, Loss: 7.191660404205322
Batch: 11, Loss: 7.216048717498779
Batch: 12, Loss: 7.119568347930908
Batch: 13, Loss: 6.967451572418213
Batch: 14, Loss: 6.788707733154297

Epoch 105 out of 2000Batch: 1, Loss: 6.957037925720215
Batch: 2, Loss: 7.247952461242676
Batch: 3, Loss: 6.900295734405518
Batch: 4, Loss: 7.292080402374268
Batch: 5, Loss: 7.165415287017822
Batch: 6, Loss: 7.019073486328125
Batch: 7, Loss: 6.984540939331055
Batch: 8, Loss: 6.869237422943115
Batch: 9, Loss: 7.004848003387451
Batch: 10, Loss: 7.189798355102539
Batch: 11, Loss: 7.40886116027832
Batch: 12, Loss: 7.693756103515625
Batch: 13, Loss: 7.52020788192749
Batch: 14, Loss: 7.206396579742432

Epoch 106 out of 2000Batch: 1, Loss: 6.625055313110352
Batch: 2, Loss: 6.901456832885742
Batch: 3, Loss: 6.6974921226501465
Batch: 4, Loss: 6.829902648925781
Batch: 5, Loss: 6.418657302856445
Batch: 6, Loss: 6.724806308746338
Batch: 7, Loss: 6.790222644805908
Batch: 8, Loss: 6.664209365844727
Batch: 9, Loss: 6.747880935668945
Batch: 10, Loss: 6.715071678161621
Batch: 11, Loss: 6.491308689117432
Batch: 12, Loss: 6.804725170135498
Batch: 13, Loss: 6.4973063468933105
Batch: 14, Loss: 6.943770408630371

Epoch 107 out of 2000Batch: 1, Loss: 7.0719499588012695
Batch: 2, Loss: 7.2480316162109375
Batch: 3, Loss: 7.248470306396484
Batch: 4, Loss: 7.408937931060791
Batch: 5, Loss: 7.019279479980469
Batch: 6, Loss: 6.999552249908447
Batch: 7, Loss: 7.035635948181152
Batch: 8, Loss: 7.714450836181641
Batch: 9, Loss: 7.339927673339844
Batch: 10, Loss: 7.487423419952393
Batch: 11, Loss: 7.059417724609375
Batch: 12, Loss: 7.327568531036377
Batch: 13, Loss: 7.144770622253418
Batch: 14, Loss: 6.3882737159729

Epoch 108 out of 2000Batch: 1, Loss: 6.673854827880859
Batch: 2, Loss: 6.610041618347168
Batch: 3, Loss: 6.227014064788818
Batch: 4, Loss: 6.747531890869141
Batch: 5, Loss: 6.313459873199463
Batch: 6, Loss: 6.713624000549316
Batch: 7, Loss: 6.602168560028076
Batch: 8, Loss: 6.447725772857666
Batch: 9, Loss: 6.6779584884643555
Batch: 10, Loss: 6.793473243713379
Batch: 11, Loss: 6.30912971496582
Batch: 12, Loss: 6.550611972808838
Batch: 13, Loss: 6.144320011138916
Batch: 14, Loss: 6.4737548828125

Epoch 109 out of 2000Batch: 1, Loss: 6.794334411621094
Batch: 2, Loss: 6.995107650756836
Batch: 3, Loss: 7.653299331665039
Batch: 4, Loss: 7.151740074157715
Batch: 5, Loss: 7.204229831695557
Batch: 6, Loss: 7.257107257843018
Batch: 7, Loss: 7.208749294281006
Batch: 8, Loss: 7.704308032989502
Batch: 9, Loss: 7.264749526977539
Batch: 10, Loss: 7.322678089141846
Batch: 11, Loss: 6.8256402015686035
Batch: 12, Loss: 7.306739807128906
Batch: 13, Loss: 7.330842971801758
Batch: 14, Loss: 6.613227844238281

Epoch 110 out of 2000Batch: 1, Loss: 7.180533409118652
Batch: 2, Loss: 6.99664306640625
Batch: 3, Loss: 6.918113708496094
Batch: 4, Loss: 7.277399063110352
Batch: 5, Loss: 6.796940326690674
Batch: 6, Loss: 7.267541408538818
Batch: 7, Loss: 7.109285354614258
Batch: 8, Loss: 7.350477695465088
Batch: 9, Loss: 7.273430824279785
Batch: 10, Loss: 7.030360698699951
Batch: 11, Loss: 6.9421257972717285
Batch: 12, Loss: 7.563045024871826
Batch: 13, Loss: 7.342148303985596
Batch: 14, Loss: 6.768229007720947

Epoch 111 out of 2000Batch: 1, Loss: 6.776834011077881
Batch: 2, Loss: 6.877025604248047
Batch: 3, Loss: 6.489840030670166
Batch: 4, Loss: 6.6757073402404785
Batch: 5, Loss: 7.1731085777282715
Batch: 6, Loss: 6.817516803741455
Batch: 7, Loss: 6.960872650146484
Batch: 8, Loss: 7.042303562164307
Batch: 9, Loss: 6.741891384124756
Batch: 10, Loss: 6.882853984832764
Batch: 11, Loss: 6.934306621551514
Batch: 12, Loss: 6.838684558868408
Batch: 13, Loss: 6.707310676574707
Batch: 14, Loss: 6.4648966789245605

Epoch 112 out of 2000Batch: 1, Loss: 7.246242523193359
Batch: 2, Loss: 7.248414993286133
Batch: 3, Loss: 7.256728649139404
Batch: 4, Loss: 7.192716121673584
Batch: 5, Loss: 7.256080627441406
Batch: 6, Loss: 7.077053070068359
Batch: 7, Loss: 7.291266441345215
Batch: 8, Loss: 6.845793724060059
Batch: 9, Loss: 7.1914873123168945
Batch: 10, Loss: 7.300514221191406
Batch: 11, Loss: 7.441417694091797
Batch: 12, Loss: 7.099754810333252
Batch: 13, Loss: 7.336373329162598
Batch: 14, Loss: 6.600208759307861

Epoch 113 out of 2000Batch: 1, Loss: 7.005537509918213
Batch: 2, Loss: 6.988150596618652
Batch: 3, Loss: 7.519451141357422
Batch: 4, Loss: 7.046947956085205
Batch: 5, Loss: 7.577008247375488
Batch: 6, Loss: 7.158868789672852
Batch: 7, Loss: 7.345588207244873
Batch: 8, Loss: 7.056434631347656
Batch: 9, Loss: 7.409688949584961
Batch: 10, Loss: 7.253155708312988
Batch: 11, Loss: 7.184774398803711
Batch: 12, Loss: 6.963192939758301
Batch: 13, Loss: 7.14471435546875
Batch: 14, Loss: 6.909893035888672

Epoch 114 out of 2000Batch: 1, Loss: 7.0089287757873535
Batch: 2, Loss: 7.270630359649658
Batch: 3, Loss: 7.040365695953369
Batch: 4, Loss: 6.9079413414001465
Batch: 5, Loss: 6.932863235473633
Batch: 6, Loss: 6.943029880523682
Batch: 7, Loss: 7.1528754234313965
Batch: 8, Loss: 7.065462589263916
Batch: 9, Loss: 7.606739521026611
Batch: 10, Loss: 7.43001127243042
Batch: 11, Loss: 6.978212833404541
Batch: 12, Loss: 7.570900917053223
Batch: 13, Loss: 7.280484199523926
Batch: 14, Loss: 6.596933841705322

Epoch 115 out of 2000Batch: 1, Loss: 6.656145095825195
Batch: 2, Loss: 7.04766321182251
Batch: 3, Loss: 6.833556652069092
Batch: 4, Loss: 6.83886194229126
Batch: 5, Loss: 6.738879203796387
Batch: 6, Loss: 6.747889518737793
Batch: 7, Loss: 6.5201873779296875
Batch: 8, Loss: 6.550400257110596
Batch: 9, Loss: 6.933773994445801
Batch: 10, Loss: 6.815697193145752
Batch: 11, Loss: 6.974050045013428
Batch: 12, Loss: 6.737102508544922
Batch: 13, Loss: 6.683925628662109
Batch: 14, Loss: 6.566789150238037

Epoch 116 out of 2000Batch: 1, Loss: 6.8503193855285645
Batch: 2, Loss: 7.197091579437256
Batch: 3, Loss: 6.900111675262451
Batch: 4, Loss: 6.907336235046387
Batch: 5, Loss: 6.910203456878662
Batch: 6, Loss: 7.099530220031738
Batch: 7, Loss: 7.085059642791748
Batch: 8, Loss: 7.340593338012695
Batch: 9, Loss: 6.507435321807861
Batch: 10, Loss: 7.146231174468994
Batch: 11, Loss: 6.989843368530273
Batch: 12, Loss: 7.057249546051025
Batch: 13, Loss: 7.215320587158203
Batch: 14, Loss: 6.6398491859436035

Epoch 117 out of 2000Batch: 1, Loss: 6.193255424499512
Batch: 2, Loss: 6.492222785949707
Batch: 3, Loss: 6.300816535949707
Batch: 4, Loss: 6.038724899291992
Batch: 5, Loss: 6.243326663970947
Batch: 6, Loss: 6.604165554046631
Batch: 7, Loss: 6.101016044616699
Batch: 8, Loss: 5.641967296600342
Batch: 9, Loss: 6.114864826202393
Batch: 10, Loss: 6.135824680328369
Batch: 11, Loss: 6.1626362800598145
Batch: 12, Loss: 6.28039026260376
Batch: 13, Loss: 6.024051189422607
Batch: 14, Loss: 6.020270824432373

Epoch 118 out of 2000Batch: 1, Loss: 7.328826427459717
Batch: 2, Loss: 7.177422046661377
Batch: 3, Loss: 7.193217754364014
Batch: 4, Loss: 7.4481000900268555
Batch: 5, Loss: 7.17281436920166
Batch: 6, Loss: 7.231415748596191
Batch: 7, Loss: 6.693432331085205
Batch: 8, Loss: 7.382501602172852
Batch: 9, Loss: 6.995607376098633
Batch: 10, Loss: 7.287484645843506
Batch: 11, Loss: 7.3541789054870605
Batch: 12, Loss: 7.272782802581787
Batch: 13, Loss: 7.136585712432861
Batch: 14, Loss: 7.199674606323242

Epoch 119 out of 2000Batch: 1, Loss: 7.151101112365723
Batch: 2, Loss: 7.2970147132873535
Batch: 3, Loss: 7.15361213684082
Batch: 4, Loss: 7.104136943817139
Batch: 5, Loss: 6.974304676055908
Batch: 6, Loss: 7.126274108886719
Batch: 7, Loss: 7.0285820960998535
Batch: 8, Loss: 7.071754455566406
Batch: 9, Loss: 7.192083358764648
Batch: 10, Loss: 7.28605318069458
Batch: 11, Loss: 7.6312255859375
Batch: 12, Loss: 7.18341064453125
Batch: 13, Loss: 6.782222747802734
Batch: 14, Loss: 6.66533088684082

Epoch 120 out of 2000Batch: 1, Loss: 6.739165306091309
Batch: 2, Loss: 6.905884265899658
Batch: 3, Loss: 6.668116569519043
Batch: 4, Loss: 6.7487592697143555
Batch: 5, Loss: 7.056251049041748
Batch: 6, Loss: 6.965271949768066
Batch: 7, Loss: 6.714695930480957
Batch: 8, Loss: 6.829157829284668
Batch: 9, Loss: 6.882699489593506
Batch: 10, Loss: 7.024884223937988
Batch: 11, Loss: 6.578517436981201
Batch: 12, Loss: 6.46458625793457
Batch: 13, Loss: 6.3818440437316895
Batch: 14, Loss: 6.903226375579834

Epoch 121 out of 2000Batch: 1, Loss: 7.3014960289001465
Batch: 2, Loss: 7.382053852081299
Batch: 3, Loss: 7.16455602645874
Batch: 4, Loss: 7.680346488952637
Batch: 5, Loss: 6.791336536407471
Batch: 6, Loss: 7.347483158111572
Batch: 7, Loss: 7.322389125823975
Batch: 8, Loss: 6.8622870445251465
Batch: 9, Loss: 7.466281890869141
Batch: 10, Loss: 7.462238788604736
Batch: 11, Loss: 6.983314514160156
Batch: 12, Loss: 6.914250373840332
Batch: 13, Loss: 7.046683311462402
Batch: 14, Loss: 7.332680702209473

Epoch 122 out of 2000Batch: 1, Loss: 7.103013515472412
Batch: 2, Loss: 7.572300434112549
Batch: 3, Loss: 7.011875629425049
Batch: 4, Loss: 6.844377040863037
Batch: 5, Loss: 7.114466667175293
Batch: 6, Loss: 6.746487617492676
Batch: 7, Loss: 7.408267498016357
Batch: 8, Loss: 7.329631328582764
Batch: 9, Loss: 7.103954792022705
Batch: 10, Loss: 7.524742126464844
Batch: 11, Loss: 7.351652145385742
Batch: 12, Loss: 6.876781463623047
Batch: 13, Loss: 7.034717082977295
Batch: 14, Loss: 6.708794116973877

Epoch 123 out of 2000Batch: 1, Loss: 6.723794460296631
Batch: 2, Loss: 7.02041482925415
Batch: 3, Loss: 6.1544718742370605
Batch: 4, Loss: 6.412719249725342
Batch: 5, Loss: 6.4293646812438965
Batch: 6, Loss: 6.776987075805664
Batch: 7, Loss: 6.4895920753479
Batch: 8, Loss: 6.593886852264404
Batch: 9, Loss: 6.354576110839844
Batch: 10, Loss: 5.816242218017578
Batch: 11, Loss: 6.451545715332031
Batch: 12, Loss: 6.633861064910889
Batch: 13, Loss: 6.640320777893066
Batch: 14, Loss: 6.090879440307617

Epoch 124 out of 2000Batch: 1, Loss: 6.836756706237793
Batch: 2, Loss: 6.785602569580078
Batch: 3, Loss: 6.709840774536133
Batch: 4, Loss: 6.504701614379883
Batch: 5, Loss: 6.894565105438232
Batch: 6, Loss: 6.889648914337158
Batch: 7, Loss: 6.687168121337891
Batch: 8, Loss: 6.437697887420654
Batch: 9, Loss: 6.383955955505371
Batch: 10, Loss: 6.557271957397461
Batch: 11, Loss: 6.55919075012207
Batch: 12, Loss: 6.531503200531006
Batch: 13, Loss: 6.655757904052734
Batch: 14, Loss: 6.685685634613037

Epoch 125 out of 2000Batch: 1, Loss: 6.63323450088501
Batch: 2, Loss: 7.1257643699646
Batch: 3, Loss: 7.287521839141846
Batch: 4, Loss: 7.260741233825684
Batch: 5, Loss: 7.186357498168945
Batch: 6, Loss: 7.336253643035889
Batch: 7, Loss: 7.052844524383545
Batch: 8, Loss: 7.328465938568115
Batch: 9, Loss: 7.078739643096924
Batch: 10, Loss: 6.407186985015869
Batch: 11, Loss: 7.088052749633789
Batch: 12, Loss: 7.272202968597412
Batch: 13, Loss: 6.907913684844971
Batch: 14, Loss: 7.264115810394287

Epoch 126 out of 2000Batch: 1, Loss: 7.383081912994385
Batch: 2, Loss: 7.1581830978393555
Batch: 3, Loss: 7.587782859802246
Batch: 4, Loss: 7.061845302581787
Batch: 5, Loss: 7.142993450164795
Batch: 6, Loss: 6.9472575187683105
Batch: 7, Loss: 7.243977069854736
Batch: 8, Loss: 6.949307918548584
Batch: 9, Loss: 7.06788444519043
Batch: 10, Loss: 6.904741287231445
Batch: 11, Loss: 7.213193416595459
Batch: 12, Loss: 7.148105621337891
Batch: 13, Loss: 6.606335639953613
Batch: 14, Loss: 7.133206367492676

Epoch 127 out of 2000Batch: 1, Loss: 6.597011566162109
Batch: 2, Loss: 6.5811004638671875
Batch: 3, Loss: 7.179261684417725
Batch: 4, Loss: 6.75917387008667
Batch: 5, Loss: 7.304071426391602
Batch: 6, Loss: 7.207127571105957
Batch: 7, Loss: 6.73280143737793
Batch: 8, Loss: 6.740191459655762
Batch: 9, Loss: 6.483550548553467
Batch: 10, Loss: 6.631770610809326
Batch: 11, Loss: 6.452385425567627
Batch: 12, Loss: 6.576866626739502
Batch: 13, Loss: 6.961061954498291
Batch: 14, Loss: 6.07050895690918

Epoch 128 out of 2000Batch: 1, Loss: 7.058794975280762
Batch: 2, Loss: 6.883601188659668
Batch: 3, Loss: 6.631598949432373
Batch: 4, Loss: 6.87915563583374
Batch: 5, Loss: 6.63480806350708
Batch: 6, Loss: 6.710701942443848
Batch: 7, Loss: 6.694474697113037
Batch: 8, Loss: 6.701543807983398
Batch: 9, Loss: 6.7264084815979
Batch: 10, Loss: 6.773268699645996
Batch: 11, Loss: 6.780015468597412
Batch: 12, Loss: 6.83959436416626
Batch: 13, Loss: 6.216269493103027
Batch: 14, Loss: 6.574089527130127

Epoch 129 out of 2000Batch: 1, Loss: 6.840526103973389
Batch: 2, Loss: 6.533889293670654
Batch: 3, Loss: 6.708521366119385
Batch: 4, Loss: 6.970465660095215
Batch: 5, Loss: 6.504005432128906
Batch: 6, Loss: 6.528250694274902
Batch: 7, Loss: 6.4431633949279785
Batch: 8, Loss: 6.635018825531006
Batch: 9, Loss: 6.45302152633667
Batch: 10, Loss: 6.6331071853637695
Batch: 11, Loss: 6.555700302124023
Batch: 12, Loss: 6.968307018280029
Batch: 13, Loss: 6.398372173309326
Batch: 14, Loss: 6.596546649932861

Epoch 130 out of 2000Batch: 1, Loss: 7.208642959594727
Batch: 2, Loss: 7.113102912902832
Batch: 3, Loss: 7.229617595672607
Batch: 4, Loss: 7.4659810066223145
Batch: 5, Loss: 7.341172695159912
Batch: 6, Loss: 7.134153842926025
Batch: 7, Loss: 7.156660556793213
Batch: 8, Loss: 7.301572799682617
Batch: 9, Loss: 7.158373832702637
Batch: 10, Loss: 6.9381537437438965
Batch: 11, Loss: 7.091977596282959
Batch: 12, Loss: 7.2490315437316895
Batch: 13, Loss: 7.397109031677246
Batch: 14, Loss: 6.929424285888672

Epoch 131 out of 2000Batch: 1, Loss: 6.492008209228516
Batch: 2, Loss: 6.7300639152526855
Batch: 3, Loss: 6.7565178871154785
Batch: 4, Loss: 6.693561553955078
Batch: 5, Loss: 6.4614362716674805
Batch: 6, Loss: 6.707200527191162
Batch: 7, Loss: 6.745901107788086
Batch: 8, Loss: 6.443889617919922
Batch: 9, Loss: 6.818779468536377
Batch: 10, Loss: 6.430897235870361
Batch: 11, Loss: 6.110060214996338
Batch: 12, Loss: 6.762858867645264
Batch: 13, Loss: 6.9684834480285645
Batch: 14, Loss: 6.56162691116333

Epoch 132 out of 2000Batch: 1, Loss: 7.0992751121521
Batch: 2, Loss: 7.066872596740723
Batch: 3, Loss: 7.310052394866943
Batch: 4, Loss: 6.990291595458984
Batch: 5, Loss: 7.367414951324463
Batch: 6, Loss: 6.846053123474121
Batch: 7, Loss: 6.910004138946533
Batch: 8, Loss: 6.9981207847595215
Batch: 9, Loss: 7.8101420402526855
Batch: 10, Loss: 7.196369171142578
Batch: 11, Loss: 6.358880043029785
Batch: 12, Loss: 7.167017936706543
Batch: 13, Loss: 7.331368446350098
Batch: 14, Loss: 7.162611961364746

Epoch 133 out of 2000Batch: 1, Loss: 6.659526824951172
Batch: 2, Loss: 6.9150309562683105
Batch: 3, Loss: 6.840604305267334
Batch: 4, Loss: 6.833591461181641
Batch: 5, Loss: 6.461590766906738
Batch: 6, Loss: 6.6096954345703125
Batch: 7, Loss: 6.49171781539917
Batch: 8, Loss: 6.7145867347717285
Batch: 9, Loss: 6.490928649902344
Batch: 10, Loss: 6.669785499572754
Batch: 11, Loss: 6.81679630279541
Batch: 12, Loss: 6.480442523956299
Batch: 13, Loss: 6.419454097747803
Batch: 14, Loss: 6.571018695831299

Epoch 134 out of 2000Batch: 1, Loss: 7.454444408416748
Batch: 2, Loss: 6.710249900817871
Batch: 3, Loss: 6.926565170288086
Batch: 4, Loss: 7.066972732543945
Batch: 5, Loss: 6.784093379974365
Batch: 6, Loss: 6.845937728881836
Batch: 7, Loss: 7.004139423370361
Batch: 8, Loss: 6.718502044677734
Batch: 9, Loss: 6.776330471038818
Batch: 10, Loss: 6.90140438079834
Batch: 11, Loss: 7.1113505363464355
Batch: 12, Loss: 7.099448204040527
Batch: 13, Loss: 6.866278171539307
Batch: 14, Loss: 7.18385124206543

Epoch 135 out of 2000Batch: 1, Loss: 6.496733665466309
Batch: 2, Loss: 6.697153568267822
Batch: 3, Loss: 6.540160655975342
Batch: 4, Loss: 6.662395000457764
Batch: 5, Loss: 7.094570159912109
Batch: 6, Loss: 6.796889305114746
Batch: 7, Loss: 6.97568941116333
Batch: 8, Loss: 6.985722541809082
Batch: 9, Loss: 6.454261302947998
Batch: 10, Loss: 7.0084333419799805
Batch: 11, Loss: 6.658782482147217
Batch: 12, Loss: 6.808979034423828
Batch: 13, Loss: 6.532823085784912
Batch: 14, Loss: 6.721282482147217

Epoch 136 out of 2000Batch: 1, Loss: 6.3880462646484375
Batch: 2, Loss: 6.91526460647583
Batch: 3, Loss: 6.674872875213623
Batch: 4, Loss: 6.489557266235352
Batch: 5, Loss: 6.686979293823242
Batch: 6, Loss: 6.956931114196777
Batch: 7, Loss: 6.6279683113098145
Batch: 8, Loss: 6.609099388122559
Batch: 9, Loss: 7.195919513702393
Batch: 10, Loss: 6.435868263244629
Batch: 11, Loss: 6.695505619049072
Batch: 12, Loss: 6.48660135269165
Batch: 13, Loss: 6.873654842376709
Batch: 14, Loss: 6.478065490722656

Epoch 137 out of 2000Batch: 1, Loss: 6.816561698913574
Batch: 2, Loss: 6.611486434936523
Batch: 3, Loss: 6.483680248260498
Batch: 4, Loss: 6.771942138671875
Batch: 5, Loss: 6.827938556671143
Batch: 6, Loss: 6.699206352233887
Batch: 7, Loss: 6.236847400665283
Batch: 8, Loss: 6.728583812713623
Batch: 9, Loss: 6.8852434158325195
Batch: 10, Loss: 6.842028617858887
Batch: 11, Loss: 6.7425150871276855
Batch: 12, Loss: 6.729897975921631
Batch: 13, Loss: 6.672519683837891
Batch: 14, Loss: 6.45682430267334

Epoch 138 out of 2000Batch: 1, Loss: 6.376941204071045
Batch: 2, Loss: 6.2963690757751465
Batch: 3, Loss: 6.722789287567139
Batch: 4, Loss: 6.550717353820801
Batch: 5, Loss: 6.646095275878906
Batch: 6, Loss: 6.552601337432861
Batch: 7, Loss: 6.773041725158691
Batch: 8, Loss: 6.58281946182251
Batch: 9, Loss: 6.797590255737305
Batch: 10, Loss: 6.687636852264404
Batch: 11, Loss: 7.004457950592041
Batch: 12, Loss: 6.784214019775391
Batch: 13, Loss: 6.603682518005371
Batch: 14, Loss: 7.067765235900879

Epoch 139 out of 2000Batch: 1, Loss: 7.126542091369629
Batch: 2, Loss: 7.137756824493408
Batch: 3, Loss: 6.513916969299316
Batch: 4, Loss: 7.058769226074219
Batch: 5, Loss: 6.945947647094727
Batch: 6, Loss: 7.191487789154053
Batch: 7, Loss: 7.136471271514893
Batch: 8, Loss: 6.956979274749756
Batch: 9, Loss: 7.439274311065674
Batch: 10, Loss: 7.110093593597412
Batch: 11, Loss: 7.209753036499023
Batch: 12, Loss: 7.538468837738037
Batch: 13, Loss: 7.4888787269592285
Batch: 14, Loss: 6.685850143432617

Epoch 140 out of 2000Batch: 1, Loss: 6.3956451416015625
Batch: 2, Loss: 6.835055828094482
Batch: 3, Loss: 6.487410068511963
Batch: 4, Loss: 6.682353973388672
Batch: 5, Loss: 6.766829490661621
Batch: 6, Loss: 6.293947696685791
Batch: 7, Loss: 6.9622602462768555
Batch: 8, Loss: 6.555158615112305
Batch: 9, Loss: 6.686112403869629
Batch: 10, Loss: 6.5733323097229
Batch: 11, Loss: 6.79905891418457
Batch: 12, Loss: 6.614448070526123
Batch: 13, Loss: 7.304518699645996
Batch: 14, Loss: 6.563785076141357

Epoch 141 out of 2000Batch: 1, Loss: 6.689152240753174
Batch: 2, Loss: 6.829160213470459
Batch: 3, Loss: 7.128871440887451
Batch: 4, Loss: 7.110270977020264
Batch: 5, Loss: 7.021803379058838
Batch: 6, Loss: 6.790499687194824
Batch: 7, Loss: 6.938971519470215
Batch: 8, Loss: 7.013608932495117
Batch: 9, Loss: 6.964548110961914
Batch: 10, Loss: 7.181901931762695
Batch: 11, Loss: 7.343382358551025
Batch: 12, Loss: 6.906549453735352
Batch: 13, Loss: 6.973043918609619
Batch: 14, Loss: 7.259559631347656

Epoch 142 out of 2000Batch: 1, Loss: 6.270812511444092
Batch: 2, Loss: 6.971946716308594
Batch: 3, Loss: 7.139425754547119
Batch: 4, Loss: 6.513112545013428
Batch: 5, Loss: 6.489102363586426
Batch: 6, Loss: 6.503602027893066
Batch: 7, Loss: 6.724299907684326
Batch: 8, Loss: 6.366638660430908
Batch: 9, Loss: 6.662211894989014
Batch: 10, Loss: 6.2601752281188965
Batch: 11, Loss: 6.408203601837158
Batch: 12, Loss: 6.216543197631836
Batch: 13, Loss: 6.471767902374268
Batch: 14, Loss: 6.557882785797119

Epoch 143 out of 2000Batch: 1, Loss: 7.099465370178223
Batch: 2, Loss: 7.156630039215088
Batch: 3, Loss: 7.307918548583984
Batch: 4, Loss: 7.109554290771484
Batch: 5, Loss: 7.172580718994141
Batch: 6, Loss: 7.195621967315674
Batch: 7, Loss: 7.250247001647949
Batch: 8, Loss: 6.92612886428833
Batch: 9, Loss: 7.062582969665527
Batch: 10, Loss: 7.166797637939453
Batch: 11, Loss: 6.631050109863281
Batch: 12, Loss: 6.56889009475708
Batch: 13, Loss: 6.7816667556762695
Batch: 14, Loss: 6.960912227630615

Epoch 144 out of 2000Batch: 1, Loss: 7.2846293449401855
Batch: 2, Loss: 6.945639133453369
Batch: 3, Loss: 6.851539134979248
Batch: 4, Loss: 7.199979782104492
Batch: 5, Loss: 6.837169170379639
Batch: 6, Loss: 6.996608257293701
Batch: 7, Loss: 6.582663536071777
Batch: 8, Loss: 7.294007778167725
Batch: 9, Loss: 7.130700588226318
Batch: 10, Loss: 7.292548179626465
Batch: 11, Loss: 6.9696455001831055
Batch: 12, Loss: 6.7226691246032715
Batch: 13, Loss: 7.182490348815918
Batch: 14, Loss: 6.699733734130859

Epoch 145 out of 2000Batch: 1, Loss: 7.057875156402588
Batch: 2, Loss: 6.9595947265625
Batch: 3, Loss: 6.566827297210693
Batch: 4, Loss: 6.592244625091553
Batch: 5, Loss: 6.844573497772217
Batch: 6, Loss: 6.389364719390869
Batch: 7, Loss: 6.867073059082031
Batch: 8, Loss: 6.574678421020508
Batch: 9, Loss: 6.213230609893799
Batch: 10, Loss: 6.48952054977417
Batch: 11, Loss: 6.420114040374756
Batch: 12, Loss: 7.004136562347412
Batch: 13, Loss: 6.6855363845825195
Batch: 14, Loss: 6.15430212020874

Epoch 146 out of 2000Batch: 1, Loss: 7.22628116607666
Batch: 2, Loss: 6.9643988609313965
Batch: 3, Loss: 6.8021087646484375
Batch: 4, Loss: 6.835513114929199
Batch: 5, Loss: 6.607311725616455
Batch: 6, Loss: 6.733348846435547
Batch: 7, Loss: 6.3334736824035645
Batch: 8, Loss: 6.79840087890625
Batch: 9, Loss: 6.976616859436035
Batch: 10, Loss: 6.78771448135376
Batch: 11, Loss: 7.170126438140869
Batch: 12, Loss: 6.547357082366943
Batch: 13, Loss: 6.816713333129883
Batch: 14, Loss: 6.287628173828125

Epoch 147 out of 2000Batch: 1, Loss: 7.058719635009766
Batch: 2, Loss: 7.0611701011657715
Batch: 3, Loss: 6.914793014526367
Batch: 4, Loss: 6.919178485870361
Batch: 5, Loss: 7.3062591552734375
Batch: 6, Loss: 7.287085056304932
Batch: 7, Loss: 6.975218772888184
Batch: 8, Loss: 7.026386260986328
Batch: 9, Loss: 7.164941310882568
Batch: 10, Loss: 6.828309059143066
Batch: 11, Loss: 7.793896198272705
Batch: 12, Loss: 6.73361349105835
Batch: 13, Loss: 6.946253299713135
Batch: 14, Loss: 7.038074493408203

Epoch 148 out of 2000Batch: 1, Loss: 6.955600261688232
Batch: 2, Loss: 6.983037948608398
Batch: 3, Loss: 7.50178337097168
Batch: 4, Loss: 7.324554920196533
Batch: 5, Loss: 6.870149612426758
Batch: 6, Loss: 6.978903293609619
Batch: 7, Loss: 7.149221897125244
Batch: 8, Loss: 6.822505950927734
Batch: 9, Loss: 6.866166114807129
Batch: 10, Loss: 7.4204277992248535
Batch: 11, Loss: 7.1483683586120605
Batch: 12, Loss: 7.280592918395996
Batch: 13, Loss: 7.06054162979126
Batch: 14, Loss: 7.010035991668701

Epoch 149 out of 2000Batch: 1, Loss: 7.070832252502441
Batch: 2, Loss: 7.223398208618164
Batch: 3, Loss: 7.128469467163086
Batch: 4, Loss: 6.9655303955078125
Batch: 5, Loss: 6.961502552032471
Batch: 6, Loss: 7.057143211364746
Batch: 7, Loss: 6.980313301086426
Batch: 8, Loss: 7.1046624183654785
Batch: 9, Loss: 7.169351100921631
Batch: 10, Loss: 7.199498653411865
Batch: 11, Loss: 6.759138107299805
Batch: 12, Loss: 7.0932512283325195
Batch: 13, Loss: 7.334603786468506
Batch: 14, Loss: 7.115787506103516

Epoch 150 out of 2000Batch: 1, Loss: 6.181944847106934
Batch: 2, Loss: 6.107094764709473
Batch: 3, Loss: 6.205423831939697
Batch: 4, Loss: 6.187022686004639
Batch: 5, Loss: 5.601322650909424
Batch: 6, Loss: 6.139420032501221
Batch: 7, Loss: 5.992234706878662
Batch: 8, Loss: 6.137381076812744
Batch: 9, Loss: 6.389086723327637
Batch: 10, Loss: 5.789842128753662
Batch: 11, Loss: 6.019871234893799
Batch: 12, Loss: 6.2053141593933105
Batch: 13, Loss: 6.397273063659668
Batch: 14, Loss: 6.450798034667969

Epoch 151 out of 2000Batch: 1, Loss: 6.702538013458252
Batch: 2, Loss: 6.39329719543457
Batch: 3, Loss: 6.159234046936035
Batch: 4, Loss: 6.455783367156982
Batch: 5, Loss: 6.503889083862305
Batch: 6, Loss: 6.556736469268799
Batch: 7, Loss: 6.485409736633301
Batch: 8, Loss: 6.514166831970215
Batch: 9, Loss: 6.788782596588135
Batch: 10, Loss: 6.2943315505981445
Batch: 11, Loss: 6.63817834854126
Batch: 12, Loss: 6.614736080169678
Batch: 13, Loss: 6.289593696594238
Batch: 14, Loss: 6.102142810821533

Epoch 152 out of 2000Batch: 1, Loss: 6.447930812835693
Batch: 2, Loss: 6.619738578796387
Batch: 3, Loss: 6.063540458679199
Batch: 4, Loss: 6.629772186279297
Batch: 5, Loss: 6.279280185699463
Batch: 6, Loss: 6.23402214050293
Batch: 7, Loss: 5.902153491973877
Batch: 8, Loss: 6.603419303894043
Batch: 9, Loss: 6.747282028198242
Batch: 10, Loss: 6.681354999542236
Batch: 11, Loss: 6.023093223571777
Batch: 12, Loss: 6.1130781173706055
Batch: 13, Loss: 6.165470600128174
Batch: 14, Loss: 6.721554756164551

Epoch 153 out of 2000Batch: 1, Loss: 6.870932579040527
Batch: 2, Loss: 6.857696056365967
Batch: 3, Loss: 6.803932189941406
Batch: 4, Loss: 7.333668231964111
Batch: 5, Loss: 6.829199314117432
Batch: 6, Loss: 7.504249572753906
Batch: 7, Loss: 7.220978260040283
Batch: 8, Loss: 7.098894119262695
Batch: 9, Loss: 6.8543267250061035
Batch: 10, Loss: 7.401270389556885
Batch: 11, Loss: 6.7462029457092285
Batch: 12, Loss: 7.2480034828186035
Batch: 13, Loss: 6.850615501403809
Batch: 14, Loss: 7.087510585784912

Epoch 154 out of 2000Batch: 1, Loss: 5.954826831817627
Batch: 2, Loss: 6.166207313537598
Batch: 3, Loss: 6.51643705368042
Batch: 4, Loss: 6.037374496459961
Batch: 5, Loss: 6.561707973480225
Batch: 6, Loss: 6.616066932678223
Batch: 7, Loss: 6.391363620758057
Batch: 8, Loss: 6.519105434417725
Batch: 9, Loss: 6.327506065368652
Batch: 10, Loss: 6.189401149749756
Batch: 11, Loss: 6.328395366668701
Batch: 12, Loss: 5.9638519287109375
Batch: 13, Loss: 6.60029411315918
Batch: 14, Loss: 6.388002395629883

Epoch 155 out of 2000Batch: 1, Loss: 7.048833847045898
Batch: 2, Loss: 7.187535762786865
Batch: 3, Loss: 6.97514533996582
Batch: 4, Loss: 7.085309982299805
Batch: 5, Loss: 6.821483612060547
Batch: 6, Loss: 6.972867012023926
Batch: 7, Loss: 7.2827839851379395
Batch: 8, Loss: 7.499117851257324
Batch: 9, Loss: 6.872542381286621
Batch: 10, Loss: 7.008121967315674
Batch: 11, Loss: 6.94545841217041
Batch: 12, Loss: 7.37559700012207
Batch: 13, Loss: 7.17829704284668
Batch: 14, Loss: 7.124770641326904

Epoch 156 out of 2000Batch: 1, Loss: 7.296687126159668
Batch: 2, Loss: 6.901284694671631
Batch: 3, Loss: 7.076770782470703
Batch: 4, Loss: 6.870321750640869
Batch: 5, Loss: 6.738725185394287
Batch: 6, Loss: 7.342421531677246
Batch: 7, Loss: 6.949382305145264
Batch: 8, Loss: 7.017712116241455
Batch: 9, Loss: 6.809053897857666
Batch: 10, Loss: 6.696197509765625
Batch: 11, Loss: 6.780455589294434
Batch: 12, Loss: 7.049008846282959
Batch: 13, Loss: 6.82802152633667
Batch: 14, Loss: 7.00618839263916

Epoch 157 out of 2000Batch: 1, Loss: 6.800438404083252
Batch: 2, Loss: 6.9911627769470215
Batch: 3, Loss: 6.923543453216553
Batch: 4, Loss: 6.48520565032959
Batch: 5, Loss: 6.632686614990234
Batch: 6, Loss: 6.878794193267822
Batch: 7, Loss: 7.58484411239624
Batch: 8, Loss: 7.1139631271362305
Batch: 9, Loss: 6.758336067199707
Batch: 10, Loss: 6.677691459655762
Batch: 11, Loss: 7.029133319854736
Batch: 12, Loss: 7.140670299530029
Batch: 13, Loss: 6.830097198486328
Batch: 14, Loss: 6.749582767486572

Epoch 158 out of 2000Batch: 1, Loss: 6.663736343383789
Batch: 2, Loss: 7.1669840812683105
Batch: 3, Loss: 7.046579360961914
Batch: 4, Loss: 6.885776519775391
Batch: 5, Loss: 6.578959941864014
Batch: 6, Loss: 7.396090984344482
Batch: 7, Loss: 6.917757034301758
Batch: 8, Loss: 6.670650482177734
Batch: 9, Loss: 7.178549766540527
Batch: 10, Loss: 7.320734024047852
Batch: 11, Loss: 6.6245551109313965
Batch: 12, Loss: 6.779239654541016
Batch: 13, Loss: 6.886809349060059
Batch: 14, Loss: 5.997544288635254

Epoch 159 out of 2000Batch: 1, Loss: 7.0117011070251465
Batch: 2, Loss: 6.8848958015441895
Batch: 3, Loss: 6.880624771118164
Batch: 4, Loss: 6.490277290344238
Batch: 5, Loss: 6.879356861114502
Batch: 6, Loss: 7.349764823913574
Batch: 7, Loss: 6.962989807128906
Batch: 8, Loss: 6.909140586853027
Batch: 9, Loss: 7.025875091552734
Batch: 10, Loss: 7.04636287689209
Batch: 11, Loss: 6.605802536010742
Batch: 12, Loss: 6.915774822235107
Batch: 13, Loss: 6.995959758758545
Batch: 14, Loss: 6.6069817543029785

Epoch 160 out of 2000Batch: 1, Loss: 5.612948894500732
Batch: 2, Loss: 6.206357479095459
Batch: 3, Loss: 6.093297481536865
Batch: 4, Loss: 5.5244526863098145
Batch: 5, Loss: 5.980691432952881
Batch: 6, Loss: 5.6532135009765625
Batch: 7, Loss: 5.765430927276611
Batch: 8, Loss: 5.663819789886475
Batch: 9, Loss: 5.426308631896973
Batch: 10, Loss: 5.605546474456787
Batch: 11, Loss: 5.6410017013549805
Batch: 12, Loss: 5.584895610809326
Batch: 13, Loss: 5.801668643951416
Batch: 14, Loss: 5.522773265838623

Epoch 161 out of 2000Batch: 1, Loss: 6.937305927276611
Batch: 2, Loss: 6.314811706542969
Batch: 3, Loss: 6.959076881408691
Batch: 4, Loss: 6.530614852905273
Batch: 5, Loss: 6.676065921783447
Batch: 6, Loss: 7.0696234703063965
Batch: 7, Loss: 6.928309440612793
Batch: 8, Loss: 6.429742813110352
Batch: 9, Loss: 6.519725322723389
Batch: 10, Loss: 6.409639835357666
Batch: 11, Loss: 6.907830715179443
Batch: 12, Loss: 6.5550665855407715
Batch: 13, Loss: 6.905770778656006
Batch: 14, Loss: 6.326995372772217

Epoch 162 out of 2000Batch: 1, Loss: 6.585152626037598
Batch: 2, Loss: 6.438282012939453
Batch: 3, Loss: 6.697045803070068
Batch: 4, Loss: 6.444092273712158
Batch: 5, Loss: 6.333199977874756
Batch: 6, Loss: 5.926383972167969
Batch: 7, Loss: 6.602067947387695
Batch: 8, Loss: 6.381833076477051
Batch: 9, Loss: 6.341320037841797
Batch: 10, Loss: 6.197065353393555
Batch: 11, Loss: 6.236289978027344
Batch: 12, Loss: 6.287795543670654
Batch: 13, Loss: 5.880664825439453
Batch: 14, Loss: 6.349184513092041

Epoch 163 out of 2000Batch: 1, Loss: 7.5591654777526855
Batch: 2, Loss: 7.505486965179443
Batch: 3, Loss: 7.111959934234619
Batch: 4, Loss: 7.171703815460205
Batch: 5, Loss: 6.633580684661865
Batch: 6, Loss: 7.0150980949401855
Batch: 7, Loss: 7.048855781555176
Batch: 8, Loss: 7.625317096710205
Batch: 9, Loss: 7.156484603881836
Batch: 10, Loss: 7.173877239227295
Batch: 11, Loss: 6.78825569152832
Batch: 12, Loss: 6.702287673950195
Batch: 13, Loss: 7.088587284088135
Batch: 14, Loss: 7.004474639892578

Epoch 164 out of 2000Batch: 1, Loss: 6.547248840332031
Batch: 2, Loss: 7.069323539733887
Batch: 3, Loss: 6.37843656539917
Batch: 4, Loss: 6.673084735870361
Batch: 5, Loss: 6.24945592880249
Batch: 6, Loss: 6.593507766723633
Batch: 7, Loss: 6.758331298828125
Batch: 8, Loss: 6.4402241706848145
Batch: 9, Loss: 6.407188892364502
Batch: 10, Loss: 6.282388687133789
Batch: 11, Loss: 6.364121437072754
Batch: 12, Loss: 6.490861415863037
Batch: 13, Loss: 6.885338306427002
Batch: 14, Loss: 6.317306995391846

Epoch 165 out of 2000Batch: 1, Loss: 6.187624931335449
Batch: 2, Loss: 6.6905951499938965
Batch: 3, Loss: 6.277588367462158
Batch: 4, Loss: 6.496456146240234
Batch: 5, Loss: 6.523832321166992
Batch: 6, Loss: 6.631412982940674
Batch: 7, Loss: 6.507925033569336
Batch: 8, Loss: 6.768126487731934
Batch: 9, Loss: 6.773701190948486
Batch: 10, Loss: 6.369589805603027
Batch: 11, Loss: 6.679922103881836
Batch: 12, Loss: 6.263342380523682
Batch: 13, Loss: 6.438647747039795
Batch: 14, Loss: 7.147562503814697

Epoch 166 out of 2000Batch: 1, Loss: 6.852763652801514
Batch: 2, Loss: 6.363256454467773
Batch: 3, Loss: 6.095232009887695
Batch: 4, Loss: 6.438181400299072
Batch: 5, Loss: 6.589956283569336
Batch: 6, Loss: 6.407578945159912
Batch: 7, Loss: 6.512260437011719
Batch: 8, Loss: 6.085846900939941
Batch: 9, Loss: 6.114497184753418
Batch: 10, Loss: 6.371022701263428
Batch: 11, Loss: 6.487338542938232
Batch: 12, Loss: 6.787746429443359
Batch: 13, Loss: 6.181412220001221
Batch: 14, Loss: 6.1883087158203125

Epoch 167 out of 2000Batch: 1, Loss: 6.5240020751953125
Batch: 2, Loss: 6.360349655151367
Batch: 3, Loss: 6.509181976318359
Batch: 4, Loss: 6.404534339904785
Batch: 5, Loss: 6.377951622009277
Batch: 6, Loss: 6.675268650054932
Batch: 7, Loss: 6.796631813049316
Batch: 8, Loss: 6.157858848571777
Batch: 9, Loss: 6.2975850105285645
Batch: 10, Loss: 6.33621072769165
Batch: 11, Loss: 6.18894100189209
Batch: 12, Loss: 5.93885612487793
Batch: 13, Loss: 6.55811071395874
Batch: 14, Loss: 6.325369834899902

Epoch 168 out of 2000Batch: 1, Loss: 5.43745231628418
Batch: 2, Loss: 5.474136829376221
Batch: 3, Loss: 5.350317001342773
Batch: 4, Loss: 5.456404209136963
Batch: 5, Loss: 5.4830803871154785
Batch: 6, Loss: 5.042455673217773
Batch: 7, Loss: 5.295943737030029
Batch: 8, Loss: 5.384063720703125
Batch: 9, Loss: 5.289216041564941
Batch: 10, Loss: 5.4856672286987305
Batch: 11, Loss: 5.1804609298706055
Batch: 12, Loss: 5.4564290046691895
Batch: 13, Loss: 5.394313335418701
Batch: 14, Loss: 4.955548286437988

Epoch 169 out of 2000Batch: 1, Loss: 8.312520027160645
Batch: 2, Loss: 7.70442008972168
Batch: 3, Loss: 7.5041279792785645
Batch: 4, Loss: 7.380892753601074
Batch: 5, Loss: 7.066844463348389
Batch: 6, Loss: 6.828025817871094
Batch: 7, Loss: 7.3014750480651855
Batch: 8, Loss: 7.106271743774414
Batch: 9, Loss: 7.194948673248291
Batch: 10, Loss: 7.061975002288818
Batch: 11, Loss: 7.030060291290283
Batch: 12, Loss: 7.21301794052124
Batch: 13, Loss: 7.325665473937988
Batch: 14, Loss: 6.800051212310791

Epoch 170 out of 2000Batch: 1, Loss: 6.776997089385986
Batch: 2, Loss: 6.031566143035889
Batch: 3, Loss: 6.455057144165039
Batch: 4, Loss: 6.592690467834473
Batch: 5, Loss: 6.585856914520264
Batch: 6, Loss: 6.735441207885742
Batch: 7, Loss: 6.493413925170898
Batch: 8, Loss: 6.504242897033691
Batch: 9, Loss: 6.448024272918701
Batch: 10, Loss: 6.199403285980225
Batch: 11, Loss: 6.243684768676758
Batch: 12, Loss: 6.014533996582031
Batch: 13, Loss: 6.660091876983643
Batch: 14, Loss: 6.301955699920654

Epoch 171 out of 2000Batch: 1, Loss: 7.166411876678467
Batch: 2, Loss: 7.0284600257873535
Batch: 3, Loss: 6.858500957489014
Batch: 4, Loss: 7.010291576385498
Batch: 5, Loss: 6.854835510253906
Batch: 6, Loss: 7.268202304840088
Batch: 7, Loss: 7.426269054412842
Batch: 8, Loss: 7.405379772186279
Batch: 9, Loss: 7.192068099975586
Batch: 10, Loss: 6.996524333953857
Batch: 11, Loss: 6.946903228759766
Batch: 12, Loss: 6.949704647064209
Batch: 13, Loss: 7.009554386138916
Batch: 14, Loss: 6.980401515960693

Epoch 172 out of 2000Batch: 1, Loss: 5.980510711669922
Batch: 2, Loss: 6.678419589996338
Batch: 3, Loss: 6.077473163604736
Batch: 4, Loss: 6.286762237548828
Batch: 5, Loss: 5.745048522949219
Batch: 6, Loss: 6.157186031341553
Batch: 7, Loss: 6.191177845001221
Batch: 8, Loss: 5.972740173339844
Batch: 9, Loss: 6.348559856414795
Batch: 10, Loss: 5.812817573547363
Batch: 11, Loss: 5.623944282531738
Batch: 12, Loss: 6.0496954917907715
Batch: 13, Loss: 5.9373016357421875
Batch: 14, Loss: 6.4659833908081055

Epoch 173 out of 2000Batch: 1, Loss: 6.211068153381348
Batch: 2, Loss: 6.675453186035156
Batch: 3, Loss: 6.473473072052002
Batch: 4, Loss: 6.400600910186768
Batch: 5, Loss: 6.37756872177124
Batch: 6, Loss: 6.554076194763184
Batch: 7, Loss: 6.366490364074707
Batch: 8, Loss: 6.560345649719238
Batch: 9, Loss: 6.3366594314575195
Batch: 10, Loss: 6.35780143737793
Batch: 11, Loss: 6.336528301239014
Batch: 12, Loss: 6.0024847984313965
Batch: 13, Loss: 6.234193801879883
Batch: 14, Loss: 6.4828572273254395

Epoch 174 out of 2000Batch: 1, Loss: 7.163010597229004
Batch: 2, Loss: 7.41066312789917
Batch: 3, Loss: 7.04299783706665
Batch: 4, Loss: 6.666114330291748
Batch: 5, Loss: 7.067863464355469
Batch: 6, Loss: 6.73082971572876
Batch: 7, Loss: 6.8886542320251465
Batch: 8, Loss: 7.23407506942749
Batch: 9, Loss: 7.066043853759766
Batch: 10, Loss: 7.11779260635376
Batch: 11, Loss: 6.8367390632629395
Batch: 12, Loss: 7.3772501945495605
Batch: 13, Loss: 7.220106601715088
Batch: 14, Loss: 6.918700218200684

Epoch 175 out of 2000Batch: 1, Loss: 6.978155136108398
Batch: 2, Loss: 7.12171745300293
Batch: 3, Loss: 6.8855204582214355
Batch: 4, Loss: 6.851256847381592
Batch: 5, Loss: 6.948738098144531
Batch: 6, Loss: 6.63350772857666
Batch: 7, Loss: 7.412283897399902
Batch: 8, Loss: 6.733601093292236
Batch: 9, Loss: 6.767968654632568
Batch: 10, Loss: 7.121840953826904
Batch: 11, Loss: 6.767282962799072
Batch: 12, Loss: 7.1168904304504395
Batch: 13, Loss: 7.249993324279785
Batch: 14, Loss: 7.2543463706970215

Epoch 176 out of 2000Batch: 1, Loss: 6.712698936462402
Batch: 2, Loss: 6.714048385620117
Batch: 3, Loss: 6.65729284286499
Batch: 4, Loss: 6.067748546600342
Batch: 5, Loss: 6.2414469718933105
Batch: 6, Loss: 6.636963367462158
Batch: 7, Loss: 6.779750823974609
Batch: 8, Loss: 6.692646026611328
Batch: 9, Loss: 6.26075553894043
Batch: 10, Loss: 7.1742401123046875
Batch: 11, Loss: 6.410858631134033
Batch: 12, Loss: 6.731368541717529
Batch: 13, Loss: 6.670177459716797
Batch: 14, Loss: 6.333454608917236

Epoch 177 out of 2000Batch: 1, Loss: 6.44327449798584
Batch: 2, Loss: 6.27098274230957
Batch: 3, Loss: 6.599480628967285
Batch: 4, Loss: 6.580333709716797
Batch: 5, Loss: 6.007187843322754
Batch: 6, Loss: 6.71129035949707
Batch: 7, Loss: 6.609670162200928
Batch: 8, Loss: 6.834684371948242
Batch: 9, Loss: 6.513136863708496
Batch: 10, Loss: 6.394579887390137
Batch: 11, Loss: 6.1804351806640625
Batch: 12, Loss: 6.178998947143555
Batch: 13, Loss: 6.590251445770264
Batch: 14, Loss: 6.335803985595703

Epoch 178 out of 2000Batch: 1, Loss: 6.150618553161621
Batch: 2, Loss: 6.809279918670654
Batch: 3, Loss: 6.828996181488037
Batch: 4, Loss: 6.259275436401367
Batch: 5, Loss: 6.449560642242432
Batch: 6, Loss: 6.443179607391357
Batch: 7, Loss: 6.506901741027832
Batch: 8, Loss: 6.811569690704346
Batch: 9, Loss: 6.45013952255249
Batch: 10, Loss: 6.977314472198486
Batch: 11, Loss: 6.590818405151367
Batch: 12, Loss: 6.694295883178711
Batch: 13, Loss: 6.432215213775635
Batch: 14, Loss: 6.423611640930176

Epoch 179 out of 2000Batch: 1, Loss: 7.4777140617370605
Batch: 2, Loss: 6.290607452392578
Batch: 3, Loss: 7.4659318923950195
Batch: 4, Loss: 6.567577362060547
Batch: 5, Loss: 6.899285316467285
Batch: 6, Loss: 6.919742584228516
Batch: 7, Loss: 6.889188289642334
Batch: 8, Loss: 6.76806640625
Batch: 9, Loss: 6.770971775054932
Batch: 10, Loss: 6.360857963562012
Batch: 11, Loss: 6.885878086090088
Batch: 12, Loss: 7.159494876861572
Batch: 13, Loss: 6.161014556884766
Batch: 14, Loss: 6.840174198150635

Epoch 180 out of 2000Batch: 1, Loss: 6.720898151397705
Batch: 2, Loss: 7.117146968841553
Batch: 3, Loss: 6.825412750244141
Batch: 4, Loss: 6.8902268409729
Batch: 5, Loss: 6.972768783569336
Batch: 6, Loss: 7.322794437408447
Batch: 7, Loss: 7.096956729888916
Batch: 8, Loss: 6.555927753448486
Batch: 9, Loss: 7.224790096282959
Batch: 10, Loss: 7.147697925567627
Batch: 11, Loss: 6.693739414215088
Batch: 12, Loss: 6.553371429443359
Batch: 13, Loss: 6.86392879486084
Batch: 14, Loss: 6.143839359283447

Epoch 181 out of 2000Batch: 1, Loss: 6.189329147338867
Batch: 2, Loss: 6.060716152191162
Batch: 3, Loss: 6.885015487670898
Batch: 4, Loss: 6.402829647064209
Batch: 5, Loss: 6.641465187072754
Batch: 6, Loss: 6.246098041534424
Batch: 7, Loss: 6.578447341918945
Batch: 8, Loss: 6.699640274047852
Batch: 9, Loss: 6.162699222564697
Batch: 10, Loss: 6.267477989196777
Batch: 11, Loss: 6.400012969970703
Batch: 12, Loss: 6.366255283355713
Batch: 13, Loss: 6.270645618438721
Batch: 14, Loss: 6.856754302978516

Epoch 182 out of 2000Batch: 1, Loss: 6.536223888397217
Batch: 2, Loss: 6.344280242919922
Batch: 3, Loss: 6.535053253173828
Batch: 4, Loss: 6.484181880950928
Batch: 5, Loss: 6.40378999710083
Batch: 6, Loss: 6.160238265991211
Batch: 7, Loss: 6.197131156921387
Batch: 8, Loss: 6.203709125518799
Batch: 9, Loss: 6.692408561706543
Batch: 10, Loss: 6.5448198318481445
Batch: 11, Loss: 6.11893367767334
Batch: 12, Loss: 6.039550304412842
Batch: 13, Loss: 6.232516765594482
Batch: 14, Loss: 5.779101848602295

Epoch 183 out of 2000Batch: 1, Loss: 6.675241470336914
Batch: 2, Loss: 7.041223526000977
Batch: 3, Loss: 7.677265644073486
Batch: 4, Loss: 7.066650390625
Batch: 5, Loss: 7.241683483123779
Batch: 6, Loss: 6.891007423400879
Batch: 7, Loss: 6.655802249908447
Batch: 8, Loss: 7.025044918060303
Batch: 9, Loss: 6.560441970825195
Batch: 10, Loss: 6.911229133605957
Batch: 11, Loss: 7.0945258140563965
Batch: 12, Loss: 6.794151306152344
Batch: 13, Loss: 6.940800666809082
Batch: 14, Loss: 6.810751914978027

Epoch 184 out of 2000Batch: 1, Loss: 6.135478496551514
Batch: 2, Loss: 6.615655899047852
Batch: 3, Loss: 6.573998928070068
Batch: 4, Loss: 6.355848789215088
Batch: 5, Loss: 6.416817665100098
Batch: 6, Loss: 6.282454967498779
Batch: 7, Loss: 6.176599979400635
Batch: 8, Loss: 5.639141082763672
Batch: 9, Loss: 6.187451362609863
Batch: 10, Loss: 6.055970668792725
Batch: 11, Loss: 6.301662921905518
Batch: 12, Loss: 6.249358654022217
Batch: 13, Loss: 6.200584888458252
Batch: 14, Loss: 5.771662712097168

Epoch 185 out of 2000Batch: 1, Loss: 7.074692249298096
Batch: 2, Loss: 7.091253280639648
Batch: 3, Loss: 7.279299736022949
Batch: 4, Loss: 7.186727046966553
Batch: 5, Loss: 7.349157810211182
Batch: 6, Loss: 6.730385780334473
Batch: 7, Loss: 7.268393039703369
Batch: 8, Loss: 6.796276569366455
Batch: 9, Loss: 6.978818416595459
Batch: 10, Loss: 6.752044200897217
Batch: 11, Loss: 6.664198398590088
Batch: 12, Loss: 6.957024097442627
Batch: 13, Loss: 6.6958909034729
Batch: 14, Loss: 7.052374839782715

Epoch 186 out of 2000Batch: 1, Loss: 6.629327297210693
Batch: 2, Loss: 6.729849815368652
Batch: 3, Loss: 6.553868293762207
Batch: 4, Loss: 7.01994514465332
Batch: 5, Loss: 6.58823823928833
Batch: 6, Loss: 6.446047306060791
Batch: 7, Loss: 6.548876762390137
Batch: 8, Loss: 6.852117538452148
Batch: 9, Loss: 6.769413471221924
Batch: 10, Loss: 6.741815567016602
Batch: 11, Loss: 6.760820388793945
Batch: 12, Loss: 6.784636497497559
Batch: 13, Loss: 6.9102396965026855
Batch: 14, Loss: 6.6502156257629395

Epoch 187 out of 2000Batch: 1, Loss: 6.654468536376953
Batch: 2, Loss: 6.632688999176025
Batch: 3, Loss: 6.893550395965576
Batch: 4, Loss: 6.754823207855225
Batch: 5, Loss: 6.416376113891602
Batch: 6, Loss: 6.530107021331787
Batch: 7, Loss: 6.541796684265137
Batch: 8, Loss: 6.446846008300781
Batch: 9, Loss: 6.458287239074707
Batch: 10, Loss: 6.511328220367432
Batch: 11, Loss: 6.683811187744141
Batch: 12, Loss: 6.478758335113525
Batch: 13, Loss: 6.46050500869751
Batch: 14, Loss: 6.779284954071045

Epoch 188 out of 2000Batch: 1, Loss: 6.5113749504089355
Batch: 2, Loss: 6.061069488525391
Batch: 3, Loss: 5.963196754455566
Batch: 4, Loss: 6.512575149536133
Batch: 5, Loss: 6.328352928161621
Batch: 6, Loss: 6.1028313636779785
Batch: 7, Loss: 6.434784412384033
Batch: 8, Loss: 6.245861530303955
Batch: 9, Loss: 6.043334007263184
Batch: 10, Loss: 6.037456035614014
Batch: 11, Loss: 6.1969404220581055
Batch: 12, Loss: 6.29868221282959
Batch: 13, Loss: 6.331089019775391
Batch: 14, Loss: 6.095610618591309

Epoch 189 out of 2000Batch: 1, Loss: 7.045600891113281
Batch: 2, Loss: 7.3932881355285645
Batch: 3, Loss: 7.227885723114014
Batch: 4, Loss: 7.068947792053223
Batch: 5, Loss: 7.232024192810059
Batch: 6, Loss: 6.755410194396973
Batch: 7, Loss: 7.0810770988464355
Batch: 8, Loss: 6.73260498046875
Batch: 9, Loss: 6.971410274505615
Batch: 10, Loss: 6.8186936378479
Batch: 11, Loss: 6.68387508392334
Batch: 12, Loss: 6.983214855194092
Batch: 13, Loss: 6.689479827880859
Batch: 14, Loss: 7.216653347015381

Epoch 190 out of 2000Batch: 1, Loss: 7.013955116271973
Batch: 2, Loss: 6.823452949523926
Batch: 3, Loss: 6.926786422729492
Batch: 4, Loss: 6.560184955596924
Batch: 5, Loss: 6.725820541381836
Batch: 6, Loss: 6.698782444000244
Batch: 7, Loss: 6.980802536010742
Batch: 8, Loss: 6.958373546600342
Batch: 9, Loss: 6.630666732788086
Batch: 10, Loss: 7.1923298835754395
Batch: 11, Loss: 6.894332408905029
Batch: 12, Loss: 6.969237804412842
Batch: 13, Loss: 6.937244892120361
Batch: 14, Loss: 7.047343730926514

Epoch 191 out of 2000Batch: 1, Loss: 6.838283538818359
Batch: 2, Loss: 6.871824264526367
Batch: 3, Loss: 6.938562870025635
Batch: 4, Loss: 6.8408989906311035
Batch: 5, Loss: 6.846818447113037
Batch: 6, Loss: 7.098984718322754
Batch: 7, Loss: 6.332780838012695
Batch: 8, Loss: 6.805241584777832
Batch: 9, Loss: 7.104588985443115
Batch: 10, Loss: 7.466733455657959
Batch: 11, Loss: 7.345160961151123
Batch: 12, Loss: 6.405511379241943
Batch: 13, Loss: 6.6991119384765625
Batch: 14, Loss: 6.820158958435059

Epoch 192 out of 2000Batch: 1, Loss: 6.172431468963623
Batch: 2, Loss: 6.697880744934082
Batch: 3, Loss: 6.301340579986572
Batch: 4, Loss: 6.3101372718811035
Batch: 5, Loss: 6.713658809661865
Batch: 6, Loss: 6.654383182525635
Batch: 7, Loss: 6.382121562957764
Batch: 8, Loss: 6.4716715812683105
Batch: 9, Loss: 6.338219165802002
Batch: 10, Loss: 6.690840244293213
Batch: 11, Loss: 7.0894999504089355
Batch: 12, Loss: 6.775681495666504
Batch: 13, Loss: 5.952274322509766
Batch: 14, Loss: 6.3760786056518555

Epoch 193 out of 2000Batch: 1, Loss: 6.827071666717529
Batch: 2, Loss: 7.269129276275635
Batch: 3, Loss: 6.483531475067139
Batch: 4, Loss: 7.225169658660889
Batch: 5, Loss: 7.060225486755371
Batch: 6, Loss: 6.60686731338501
Batch: 7, Loss: 6.650808334350586
Batch: 8, Loss: 6.5220184326171875
Batch: 9, Loss: 7.3803277015686035
Batch: 10, Loss: 6.801717758178711
Batch: 11, Loss: 6.620500564575195
Batch: 12, Loss: 7.138763427734375
Batch: 13, Loss: 6.60139274597168
Batch: 14, Loss: 6.163188457489014

Epoch 194 out of 2000Batch: 1, Loss: 6.558290004730225
Batch: 2, Loss: 7.13815975189209
Batch: 3, Loss: 6.756729602813721
Batch: 4, Loss: 6.447871208190918
Batch: 5, Loss: 6.86342191696167
Batch: 6, Loss: 6.695713043212891
Batch: 7, Loss: 6.560257911682129
Batch: 8, Loss: 6.866544246673584
Batch: 9, Loss: 7.225725173950195
Batch: 10, Loss: 6.844635963439941
Batch: 11, Loss: 6.799674034118652
Batch: 12, Loss: 7.217341423034668
Batch: 13, Loss: 7.355899810791016
Batch: 14, Loss: 6.66208553314209

Epoch 195 out of 2000Batch: 1, Loss: 5.93668270111084
Batch: 2, Loss: 5.931780815124512
Batch: 3, Loss: 5.820994853973389
Batch: 4, Loss: 5.899411201477051
Batch: 5, Loss: 5.251901626586914
Batch: 6, Loss: 5.626070976257324
Batch: 7, Loss: 5.731799602508545
Batch: 8, Loss: 5.891904830932617
Batch: 9, Loss: 5.697970390319824
Batch: 10, Loss: 5.985866546630859
Batch: 11, Loss: 5.483457565307617
Batch: 12, Loss: 5.479568958282471
Batch: 13, Loss: 5.78774881362915
Batch: 14, Loss: 5.199286460876465

Epoch 196 out of 2000Batch: 1, Loss: 6.916242599487305
Batch: 2, Loss: 7.222395420074463
Batch: 3, Loss: 7.6287312507629395
Batch: 4, Loss: 7.711909770965576
Batch: 5, Loss: 7.13060188293457
Batch: 6, Loss: 6.708115577697754
Batch: 7, Loss: 6.9490203857421875
Batch: 8, Loss: 6.902495861053467
Batch: 9, Loss: 6.912949085235596
Batch: 10, Loss: 6.987457752227783
Batch: 11, Loss: 7.3358330726623535
Batch: 12, Loss: 7.079086780548096
Batch: 13, Loss: 7.20814847946167
Batch: 14, Loss: 7.117388725280762

Epoch 197 out of 2000Batch: 1, Loss: 6.027633190155029
Batch: 2, Loss: 5.92523193359375
Batch: 3, Loss: 6.436733722686768
Batch: 4, Loss: 6.3138532638549805
Batch: 5, Loss: 6.129664897918701
Batch: 6, Loss: 6.274718284606934
Batch: 7, Loss: 6.286360740661621
Batch: 8, Loss: 6.119689464569092
Batch: 9, Loss: 5.792561054229736
Batch: 10, Loss: 6.086337089538574
Batch: 11, Loss: 5.705088138580322
Batch: 12, Loss: 6.130767345428467
Batch: 13, Loss: 6.6594438552856445
Batch: 14, Loss: 5.55654764175415

Epoch 198 out of 2000Batch: 1, Loss: 6.494703769683838
Batch: 2, Loss: 6.739269733428955
Batch: 3, Loss: 6.67547082901001
Batch: 4, Loss: 6.806600570678711
Batch: 5, Loss: 6.527656078338623
Batch: 6, Loss: 6.7473931312561035
Batch: 7, Loss: 6.675944805145264
Batch: 8, Loss: 6.82705545425415
Batch: 9, Loss: 6.177717208862305
Batch: 10, Loss: 6.47160530090332
Batch: 11, Loss: 6.936565399169922
Batch: 12, Loss: 6.454358100891113
Batch: 13, Loss: 6.974396228790283
Batch: 14, Loss: 6.472123622894287

Epoch 199 out of 2000Batch: 1, Loss: 6.6363019943237305
Batch: 2, Loss: 6.364346027374268
Batch: 3, Loss: 6.707879066467285
Batch: 4, Loss: 6.561581611633301
Batch: 5, Loss: 6.65525484085083
Batch: 6, Loss: 6.769659996032715
Batch: 7, Loss: 6.553786754608154
Batch: 8, Loss: 6.18919038772583
Batch: 9, Loss: 6.678699493408203
Batch: 10, Loss: 6.798464298248291
Batch: 11, Loss: 6.992517471313477
Batch: 12, Loss: 6.794053554534912
Batch: 13, Loss: 6.723876953125
Batch: 14, Loss: 6.345249176025391

Epoch 200 out of 2000Batch: 1, Loss: 6.971748352050781
Batch: 2, Loss: 7.1675496101379395
Batch: 3, Loss: 6.8123555183410645
Batch: 4, Loss: 6.8971333503723145
Batch: 5, Loss: 6.682826042175293
Batch: 6, Loss: 6.323577404022217
Batch: 7, Loss: 6.816660404205322
Batch: 8, Loss: 7.234664440155029
Batch: 9, Loss: 6.984344005584717
Batch: 10, Loss: 7.261821269989014
Batch: 11, Loss: 6.552679538726807
Batch: 12, Loss: 7.081418514251709
Batch: 13, Loss: 7.00793981552124
Batch: 14, Loss: 7.111076354980469

Epoch 201 out of 2000Batch: 1, Loss: 5.655658721923828
Batch: 2, Loss: 5.402364730834961
Batch: 3, Loss: 5.494049549102783
Batch: 4, Loss: 5.325550556182861
Batch: 5, Loss: 5.300135135650635
Batch: 6, Loss: 5.102207660675049
Batch: 7, Loss: 5.23928689956665
Batch: 8, Loss: 5.231391906738281
Batch: 9, Loss: 5.010936737060547
Batch: 10, Loss: 4.946541786193848
Batch: 11, Loss: 5.106795310974121
Batch: 12, Loss: 5.454610347747803
Batch: 13, Loss: 5.329707145690918
Batch: 14, Loss: 4.685664176940918

Epoch 202 out of 2000Batch: 1, Loss: 6.966858386993408
Batch: 2, Loss: 6.6496381759643555
Batch: 3, Loss: 6.942452430725098
Batch: 4, Loss: 6.34779167175293
Batch: 5, Loss: 6.3955230712890625
Batch: 6, Loss: 6.464214324951172
Batch: 7, Loss: 6.268682956695557
Batch: 8, Loss: 6.306751728057861
Batch: 9, Loss: 6.782449245452881
Batch: 10, Loss: 6.378893852233887
Batch: 11, Loss: 6.180070877075195
Batch: 12, Loss: 6.286495208740234
Batch: 13, Loss: 6.528841972351074
Batch: 14, Loss: 6.2624125480651855

Epoch 203 out of 2000Batch: 1, Loss: 6.451885223388672
Batch: 2, Loss: 6.4185919761657715
Batch: 3, Loss: 6.561518669128418
Batch: 4, Loss: 6.117618560791016
Batch: 5, Loss: 6.347443103790283
Batch: 6, Loss: 6.204809188842773
Batch: 7, Loss: 6.037053108215332
Batch: 8, Loss: 6.252495765686035
Batch: 9, Loss: 5.928596019744873
Batch: 10, Loss: 6.559872150421143
Batch: 11, Loss: 6.343668460845947
Batch: 12, Loss: 6.225836277008057
Batch: 13, Loss: 6.217545032501221
Batch: 14, Loss: 5.853057861328125

Epoch 204 out of 2000Batch: 1, Loss: 6.738583564758301
Batch: 2, Loss: 6.625250816345215
Batch: 3, Loss: 6.571661472320557
Batch: 4, Loss: 6.779425144195557
Batch: 5, Loss: 6.5531463623046875
Batch: 6, Loss: 6.569128513336182
Batch: 7, Loss: 6.401298522949219
Batch: 8, Loss: 6.175527572631836
Batch: 9, Loss: 6.2847819328308105
Batch: 10, Loss: 6.638912677764893
Batch: 11, Loss: 6.438546180725098
Batch: 12, Loss: 6.411495685577393
Batch: 13, Loss: 6.270975112915039
Batch: 14, Loss: 7.110140800476074

Epoch 205 out of 2000Batch: 1, Loss: 6.815217018127441
Batch: 2, Loss: 6.818195819854736
Batch: 3, Loss: 7.155303955078125
Batch: 4, Loss: 6.929056167602539
Batch: 5, Loss: 6.50128698348999
Batch: 6, Loss: 7.142576694488525
Batch: 7, Loss: 7.218780040740967
Batch: 8, Loss: 7.2711405754089355
Batch: 9, Loss: 7.1354475021362305
Batch: 10, Loss: 6.671319007873535
Batch: 11, Loss: 7.270445823669434
Batch: 12, Loss: 7.120938301086426
Batch: 13, Loss: 7.284902095794678
Batch: 14, Loss: 7.095367431640625

Epoch 206 out of 2000Batch: 1, Loss: 5.84511137008667
Batch: 2, Loss: 5.944039821624756
Batch: 3, Loss: 5.729454040527344
Batch: 4, Loss: 6.1755170822143555
Batch: 5, Loss: 6.110773086547852
Batch: 6, Loss: 6.127472400665283
Batch: 7, Loss: 5.861011981964111
Batch: 8, Loss: 5.7449774742126465
Batch: 9, Loss: 5.817709445953369
Batch: 10, Loss: 6.173361778259277
Batch: 11, Loss: 5.55739164352417
Batch: 12, Loss: 5.838284015655518
Batch: 13, Loss: 5.96118688583374
Batch: 14, Loss: 5.854046821594238

Epoch 207 out of 2000Batch: 1, Loss: 7.2808518409729
Batch: 2, Loss: 7.390957832336426
Batch: 3, Loss: 7.051575183868408
Batch: 4, Loss: 6.5799641609191895
Batch: 5, Loss: 7.469703197479248
Batch: 6, Loss: 6.79177188873291
Batch: 7, Loss: 6.794086456298828
Batch: 8, Loss: 6.886129856109619
Batch: 9, Loss: 7.2690324783325195
Batch: 10, Loss: 7.354485988616943
Batch: 11, Loss: 7.44350004196167
Batch: 12, Loss: 6.981283187866211
Batch: 13, Loss: 6.918821334838867
Batch: 14, Loss: 6.60889196395874

Epoch 208 out of 2000Batch: 1, Loss: 6.687966346740723
Batch: 2, Loss: 6.340360641479492
Batch: 3, Loss: 7.056323051452637
Batch: 4, Loss: 6.881720542907715
Batch: 5, Loss: 6.7857232093811035
Batch: 6, Loss: 6.2732930183410645
Batch: 7, Loss: 6.851574420928955
Batch: 8, Loss: 6.605223655700684
Batch: 9, Loss: 6.794063568115234
Batch: 10, Loss: 6.944933891296387
Batch: 11, Loss: 6.802221775054932
Batch: 12, Loss: 6.804582118988037
Batch: 13, Loss: 7.05998420715332
Batch: 14, Loss: 7.335311412811279

Epoch 209 out of 2000Batch: 1, Loss: 6.598728656768799
Batch: 2, Loss: 6.369984149932861
Batch: 3, Loss: 6.083841800689697
Batch: 4, Loss: 6.68154764175415
Batch: 5, Loss: 6.709912300109863
Batch: 6, Loss: 6.380595684051514
Batch: 7, Loss: 6.534207820892334
Batch: 8, Loss: 6.4855570793151855
Batch: 9, Loss: 6.666133403778076
Batch: 10, Loss: 6.09992790222168
Batch: 11, Loss: 6.902249336242676
Batch: 12, Loss: 6.089312553405762
Batch: 13, Loss: 7.060787677764893
Batch: 14, Loss: 6.752503395080566

Epoch 210 out of 2000Batch: 1, Loss: 6.710442066192627
Batch: 2, Loss: 6.681445121765137
Batch: 3, Loss: 6.498176574707031
Batch: 4, Loss: 6.713459491729736
Batch: 5, Loss: 6.457045078277588
Batch: 6, Loss: 6.642094612121582
Batch: 7, Loss: 6.118645668029785
Batch: 8, Loss: 6.170218467712402
Batch: 9, Loss: 6.807331085205078
Batch: 10, Loss: 6.527197360992432
Batch: 11, Loss: 6.762685298919678
Batch: 12, Loss: 6.4839091300964355
Batch: 13, Loss: 6.092414379119873
Batch: 14, Loss: 6.505615234375

Epoch 211 out of 2000Batch: 1, Loss: 6.626070499420166
Batch: 2, Loss: 6.472862243652344
Batch: 3, Loss: 6.343993186950684
Batch: 4, Loss: 6.2988667488098145
Batch: 5, Loss: 6.374782085418701
Batch: 6, Loss: 6.465169906616211
Batch: 7, Loss: 6.530595302581787
Batch: 8, Loss: 6.384364128112793
Batch: 9, Loss: 6.4718852043151855
Batch: 10, Loss: 6.495780944824219
Batch: 11, Loss: 6.441821575164795
Batch: 12, Loss: 6.5620808601379395
Batch: 13, Loss: 6.656299114227295
Batch: 14, Loss: 6.385613918304443

Epoch 212 out of 2000Batch: 1, Loss: 6.822665214538574
Batch: 2, Loss: 6.55236291885376
Batch: 3, Loss: 6.867550849914551
Batch: 4, Loss: 6.827029705047607
Batch: 5, Loss: 6.635871410369873
Batch: 6, Loss: 6.8209004402160645
Batch: 7, Loss: 6.904788970947266
Batch: 8, Loss: 6.860677242279053
Batch: 9, Loss: 6.775724411010742
Batch: 10, Loss: 6.91185998916626
Batch: 11, Loss: 7.022531509399414
Batch: 12, Loss: 6.897099018096924
Batch: 13, Loss: 6.5480265617370605
Batch: 14, Loss: 7.127527236938477

Epoch 213 out of 2000Batch: 1, Loss: 6.685683727264404
Batch: 2, Loss: 5.938015937805176
Batch: 3, Loss: 5.943807125091553
Batch: 4, Loss: 6.286563396453857
Batch: 5, Loss: 5.999886989593506
Batch: 6, Loss: 6.363032817840576
Batch: 7, Loss: 6.186756134033203
Batch: 8, Loss: 6.280528545379639
Batch: 9, Loss: 6.301167964935303
Batch: 10, Loss: 5.82308292388916
Batch: 11, Loss: 6.851034641265869
Batch: 12, Loss: 6.059502124786377
Batch: 13, Loss: 6.239405632019043
Batch: 14, Loss: 6.788270473480225

Epoch 214 out of 2000Batch: 1, Loss: 7.501537322998047
Batch: 2, Loss: 6.966846942901611
Batch: 3, Loss: 6.965704917907715
Batch: 4, Loss: 7.060781955718994
Batch: 5, Loss: 6.923355579376221
Batch: 6, Loss: 6.656083106994629
Batch: 7, Loss: 6.422640323638916
Batch: 8, Loss: 6.747305870056152
Batch: 9, Loss: 7.01778507232666
Batch: 10, Loss: 6.883193016052246
Batch: 11, Loss: 6.688998699188232
Batch: 12, Loss: 6.585499286651611
Batch: 13, Loss: 6.550678730010986
Batch: 14, Loss: 6.958512306213379

Epoch 215 out of 2000Batch: 1, Loss: 6.61839485168457
Batch: 2, Loss: 6.009261131286621
Batch: 3, Loss: 6.0813703536987305
Batch: 4, Loss: 6.345062732696533
Batch: 5, Loss: 6.239738941192627
Batch: 6, Loss: 6.491396903991699
Batch: 7, Loss: 6.210602760314941
Batch: 8, Loss: 6.404591083526611
Batch: 9, Loss: 6.427164077758789
Batch: 10, Loss: 5.982497692108154
Batch: 11, Loss: 6.43743371963501
Batch: 12, Loss: 6.3403639793396
Batch: 13, Loss: 6.567137241363525
Batch: 14, Loss: 6.587060451507568

Epoch 216 out of 2000Batch: 1, Loss: 6.296553134918213
Batch: 2, Loss: 7.277482509613037
Batch: 3, Loss: 6.972141742706299
Batch: 4, Loss: 6.951637268066406
Batch: 5, Loss: 6.777677059173584
Batch: 6, Loss: 6.929497241973877
Batch: 7, Loss: 6.804063320159912
Batch: 8, Loss: 6.660826683044434
Batch: 9, Loss: 6.52757453918457
Batch: 10, Loss: 6.80961799621582
Batch: 11, Loss: 7.043034553527832
Batch: 12, Loss: 6.869130611419678
Batch: 13, Loss: 7.115830421447754
Batch: 14, Loss: 7.687753200531006

Epoch 217 out of 2000Batch: 1, Loss: 6.810027122497559
Batch: 2, Loss: 6.434462070465088
Batch: 3, Loss: 6.616240501403809
Batch: 4, Loss: 6.181358814239502
Batch: 5, Loss: 7.085122585296631
Batch: 6, Loss: 7.460689067840576
Batch: 7, Loss: 7.161391258239746
Batch: 8, Loss: 7.118168354034424
Batch: 9, Loss: 7.41326379776001
Batch: 10, Loss: 7.237051963806152
Batch: 11, Loss: 7.221680164337158
Batch: 12, Loss: 6.9635910987854
Batch: 13, Loss: 6.439462661743164
Batch: 14, Loss: 7.089373588562012

Epoch 218 out of 2000Batch: 1, Loss: 6.4766459465026855
Batch: 2, Loss: 6.465508460998535
Batch: 3, Loss: 6.37716817855835
Batch: 4, Loss: 6.850392818450928
Batch: 5, Loss: 6.325552940368652
Batch: 6, Loss: 6.72489595413208
Batch: 7, Loss: 5.906712532043457
Batch: 8, Loss: 6.2443084716796875
Batch: 9, Loss: 6.511134147644043
Batch: 10, Loss: 6.519645690917969
Batch: 11, Loss: 6.599009990692139
Batch: 12, Loss: 6.149744510650635
Batch: 13, Loss: 6.567800998687744
Batch: 14, Loss: 6.014090538024902

Epoch 219 out of 2000Batch: 1, Loss: 6.928176403045654
Batch: 2, Loss: 6.799997806549072
Batch: 3, Loss: 7.001352787017822
Batch: 4, Loss: 7.131278991699219
Batch: 5, Loss: 5.771319389343262
Batch: 6, Loss: 7.2182230949401855
Batch: 7, Loss: 6.741238117218018
Batch: 8, Loss: 7.120298862457275
Batch: 9, Loss: 6.802883148193359
Batch: 10, Loss: 7.071185111999512
Batch: 11, Loss: 6.197354793548584
Batch: 12, Loss: 6.874120235443115
Batch: 13, Loss: 6.877806186676025
Batch: 14, Loss: 7.239431858062744

Epoch 220 out of 2000Batch: 1, Loss: 6.9959516525268555
Batch: 2, Loss: 6.424365997314453
Batch: 3, Loss: 6.8674750328063965
Batch: 4, Loss: 7.239788055419922
Batch: 5, Loss: 7.041605472564697
Batch: 6, Loss: 6.895534038543701
Batch: 7, Loss: 6.317749500274658
Batch: 8, Loss: 7.160977840423584
Batch: 9, Loss: 6.630119800567627
Batch: 10, Loss: 6.983660697937012
Batch: 11, Loss: 6.870981693267822
Batch: 12, Loss: 6.356489181518555
Batch: 13, Loss: 6.982663154602051
Batch: 14, Loss: 7.205053806304932

Epoch 221 out of 2000Batch: 1, Loss: 5.790971755981445
Batch: 2, Loss: 6.124506950378418
Batch: 3, Loss: 6.208411693572998
Batch: 4, Loss: 6.093972682952881
Batch: 5, Loss: 6.2035675048828125
Batch: 6, Loss: 6.300863742828369
Batch: 7, Loss: 5.593244552612305
Batch: 8, Loss: 5.995159149169922
Batch: 9, Loss: 6.369114398956299
Batch: 10, Loss: 6.483026504516602
Batch: 11, Loss: 5.892202377319336
Batch: 12, Loss: 6.142725467681885
Batch: 13, Loss: 6.092862606048584
Batch: 14, Loss: 6.1462273597717285

Epoch 222 out of 2000Batch: 1, Loss: 6.368056774139404
Batch: 2, Loss: 6.526477813720703
Batch: 3, Loss: 6.536747932434082
Batch: 4, Loss: 5.9705729484558105
Batch: 5, Loss: 6.16683292388916
Batch: 6, Loss: 6.138941287994385
Batch: 7, Loss: 6.667288303375244
Batch: 8, Loss: 6.182754039764404
Batch: 9, Loss: 6.635976314544678
Batch: 10, Loss: 6.580091953277588
Batch: 11, Loss: 5.851138591766357
Batch: 12, Loss: 6.02371883392334
Batch: 13, Loss: 6.4311323165893555
Batch: 14, Loss: 6.2306694984436035

Epoch 223 out of 2000Batch: 1, Loss: 6.521633625030518
Batch: 2, Loss: 6.639383792877197
Batch: 3, Loss: 6.645992279052734
Batch: 4, Loss: 6.624290943145752
Batch: 5, Loss: 6.542144775390625
Batch: 6, Loss: 6.6085100173950195
Batch: 7, Loss: 6.536996841430664
Batch: 8, Loss: 6.537848472595215
Batch: 9, Loss: 6.428378105163574
Batch: 10, Loss: 6.709591865539551
Batch: 11, Loss: 6.907921314239502
Batch: 12, Loss: 6.004071235656738
Batch: 13, Loss: 6.489957809448242
Batch: 14, Loss: 6.411016464233398

Epoch 224 out of 2000Batch: 1, Loss: 6.309256076812744
Batch: 2, Loss: 6.311362266540527
Batch: 3, Loss: 6.558311939239502
Batch: 4, Loss: 6.465180397033691
Batch: 5, Loss: 6.235232830047607
Batch: 6, Loss: 5.897347450256348
Batch: 7, Loss: 6.568571090698242
Batch: 8, Loss: 6.205001354217529
Batch: 9, Loss: 6.46886682510376
Batch: 10, Loss: 6.337140083312988
Batch: 11, Loss: 6.059394359588623
Batch: 12, Loss: 6.123325824737549
Batch: 13, Loss: 6.4058027267456055
Batch: 14, Loss: 6.344571590423584

Epoch 225 out of 2000Batch: 1, Loss: 5.831014633178711
Batch: 2, Loss: 6.421014785766602
Batch: 3, Loss: 6.042129993438721
Batch: 4, Loss: 6.242937088012695
Batch: 5, Loss: 6.545031547546387
Batch: 6, Loss: 6.167934894561768
Batch: 7, Loss: 6.476261615753174
Batch: 8, Loss: 6.40134859085083
Batch: 9, Loss: 6.23375940322876
Batch: 10, Loss: 6.265564918518066
Batch: 11, Loss: 6.382081031799316
Batch: 12, Loss: 6.15386438369751
Batch: 13, Loss: 6.057823181152344
Batch: 14, Loss: 6.3974995613098145

Epoch 226 out of 2000Batch: 1, Loss: 5.2961225509643555
Batch: 2, Loss: 5.448056221008301
Batch: 3, Loss: 5.284539222717285
Batch: 4, Loss: 5.321686744689941
Batch: 5, Loss: 5.372698783874512
Batch: 6, Loss: 5.374343395233154
Batch: 7, Loss: 5.301708221435547
Batch: 8, Loss: 5.072916507720947
Batch: 9, Loss: 5.324679851531982
Batch: 10, Loss: 4.899543285369873
Batch: 11, Loss: 5.243744850158691
Batch: 12, Loss: 5.087281703948975
Batch: 13, Loss: 5.0858893394470215
Batch: 14, Loss: 5.419198513031006

Epoch 227 out of 2000Batch: 1, Loss: 7.743146896362305
Batch: 2, Loss: 7.190636157989502
Batch: 3, Loss: 6.716550827026367
Batch: 4, Loss: 6.640056133270264
Batch: 5, Loss: 7.300272464752197
Batch: 6, Loss: 7.048222064971924
Batch: 7, Loss: 6.636050701141357
Batch: 8, Loss: 7.140555381774902
Batch: 9, Loss: 6.799901962280273
Batch: 10, Loss: 7.09301233291626
Batch: 11, Loss: 6.914471626281738
Batch: 12, Loss: 6.71233606338501
Batch: 13, Loss: 6.775771617889404
Batch: 14, Loss: 7.038942337036133

Epoch 228 out of 2000Batch: 1, Loss: 6.970956325531006
Batch: 2, Loss: 6.769745349884033
Batch: 3, Loss: 7.0345001220703125
Batch: 4, Loss: 7.077432155609131
Batch: 5, Loss: 6.695224285125732
Batch: 6, Loss: 7.147657871246338
Batch: 7, Loss: 6.528801441192627
Batch: 8, Loss: 6.331452369689941
Batch: 9, Loss: 7.3641839027404785
Batch: 10, Loss: 6.965502738952637
Batch: 11, Loss: 6.259849548339844
Batch: 12, Loss: 6.897270679473877
Batch: 13, Loss: 7.230544090270996
Batch: 14, Loss: 7.252903938293457

Epoch 229 out of 2000Batch: 1, Loss: 6.5045599937438965
Batch: 2, Loss: 6.830124855041504
Batch: 3, Loss: 6.233414649963379
Batch: 4, Loss: 6.08386754989624
Batch: 5, Loss: 6.2560319900512695
Batch: 6, Loss: 6.1411919593811035
Batch: 7, Loss: 6.29932975769043
Batch: 8, Loss: 6.429208278656006
Batch: 9, Loss: 6.335312366485596
Batch: 10, Loss: 6.216331481933594
Batch: 11, Loss: 6.2972187995910645
Batch: 12, Loss: 6.385793209075928
Batch: 13, Loss: 6.168917655944824
Batch: 14, Loss: 6.294339656829834

Epoch 230 out of 2000Batch: 1, Loss: 7.136900901794434
Batch: 2, Loss: 7.104120254516602
Batch: 3, Loss: 6.7757568359375
Batch: 4, Loss: 7.281370162963867
Batch: 5, Loss: 7.058063983917236
Batch: 6, Loss: 6.776455879211426
Batch: 7, Loss: 7.023029327392578
Batch: 8, Loss: 7.09176778793335
Batch: 9, Loss: 6.521661281585693
Batch: 10, Loss: 6.917332649230957
Batch: 11, Loss: 7.1744585037231445
Batch: 12, Loss: 6.567014694213867
Batch: 13, Loss: 6.83233118057251
Batch: 14, Loss: 6.289591312408447

Epoch 231 out of 2000Batch: 1, Loss: 6.53057336807251
Batch: 2, Loss: 6.84435510635376
Batch: 3, Loss: 6.526484489440918
Batch: 4, Loss: 6.34473180770874
Batch: 5, Loss: 6.221180438995361
Batch: 6, Loss: 6.791243553161621
Batch: 7, Loss: 6.072659015655518
Batch: 8, Loss: 6.4633941650390625
Batch: 9, Loss: 6.632347106933594
Batch: 10, Loss: 6.350164413452148
Batch: 11, Loss: 6.2060699462890625
Batch: 12, Loss: 6.234031677246094
Batch: 13, Loss: 6.05819034576416
Batch: 14, Loss: 6.547917366027832

Epoch 232 out of 2000Batch: 1, Loss: 6.454461574554443
Batch: 2, Loss: 5.907374382019043
Batch: 3, Loss: 5.978590488433838
Batch: 4, Loss: 5.934519290924072
Batch: 5, Loss: 6.141971111297607
Batch: 6, Loss: 6.415726661682129
Batch: 7, Loss: 5.821657657623291
Batch: 8, Loss: 5.982372760772705
Batch: 9, Loss: 5.933260917663574
Batch: 10, Loss: 6.3014655113220215
Batch: 11, Loss: 6.728985786437988
Batch: 12, Loss: 6.323086261749268
Batch: 13, Loss: 6.078889846801758
Batch: 14, Loss: 6.176988124847412

Epoch 233 out of 2000Batch: 1, Loss: 6.540684700012207
Batch: 2, Loss: 6.749373912811279
Batch: 3, Loss: 6.714228630065918
Batch: 4, Loss: 7.173367977142334
Batch: 5, Loss: 6.703946590423584
Batch: 6, Loss: 7.040158748626709
Batch: 7, Loss: 7.099808692932129
Batch: 8, Loss: 6.973653793334961
Batch: 9, Loss: 6.568867206573486
Batch: 10, Loss: 7.675514221191406
Batch: 11, Loss: 7.295688629150391
Batch: 12, Loss: 6.665400505065918
Batch: 13, Loss: 6.584275245666504
Batch: 14, Loss: 6.935078144073486

Epoch 234 out of 2000Batch: 1, Loss: 6.600872039794922
Batch: 2, Loss: 6.4578537940979
Batch: 3, Loss: 6.405082702636719
Batch: 4, Loss: 6.211347579956055
Batch: 5, Loss: 6.081968307495117
Batch: 6, Loss: 6.71032190322876
Batch: 7, Loss: 6.487746238708496
Batch: 8, Loss: 6.320669651031494
Batch: 9, Loss: 6.521567344665527
Batch: 10, Loss: 6.821145057678223
Batch: 11, Loss: 6.448033332824707
Batch: 12, Loss: 6.308237075805664
Batch: 13, Loss: 6.194980621337891
Batch: 14, Loss: 6.088472366333008

Epoch 235 out of 2000Batch: 1, Loss: 6.325744152069092
Batch: 2, Loss: 7.018579959869385
Batch: 3, Loss: 6.5666656494140625
Batch: 4, Loss: 6.766522407531738
Batch: 5, Loss: 6.951848983764648
Batch: 6, Loss: 6.853353500366211
Batch: 7, Loss: 6.601830959320068
Batch: 8, Loss: 7.661935329437256
Batch: 9, Loss: 6.603859901428223
Batch: 10, Loss: 6.424670696258545
Batch: 11, Loss: 7.219179153442383
Batch: 12, Loss: 6.738608360290527
Batch: 13, Loss: 6.880008697509766
Batch: 14, Loss: 6.806605815887451

Epoch 236 out of 2000Batch: 1, Loss: 5.989165782928467
Batch: 2, Loss: 6.011622428894043
Batch: 3, Loss: 6.142580509185791
Batch: 4, Loss: 5.992522239685059
Batch: 5, Loss: 5.792550086975098
Batch: 6, Loss: 5.728103160858154
Batch: 7, Loss: 6.1285176277160645
Batch: 8, Loss: 5.801991939544678
Batch: 9, Loss: 6.121084213256836
Batch: 10, Loss: 5.571403980255127
Batch: 11, Loss: 6.112245559692383
Batch: 12, Loss: 6.000563621520996
Batch: 13, Loss: 6.070679664611816
Batch: 14, Loss: 5.809089660644531

Epoch 237 out of 2000Batch: 1, Loss: 5.704559326171875
Batch: 2, Loss: 5.78135871887207
Batch: 3, Loss: 5.838284492492676
Batch: 4, Loss: 5.93278169631958
Batch: 5, Loss: 5.50996732711792
Batch: 6, Loss: 5.653945446014404
Batch: 7, Loss: 5.875666618347168
Batch: 8, Loss: 5.360775470733643
Batch: 9, Loss: 5.548554420471191
Batch: 10, Loss: 5.700549602508545
Batch: 11, Loss: 5.541248798370361
Batch: 12, Loss: 5.563569068908691
Batch: 13, Loss: 5.37437629699707
Batch: 14, Loss: 5.172672271728516

Epoch 238 out of 2000Batch: 1, Loss: 6.419642925262451
Batch: 2, Loss: 6.746192932128906
Batch: 3, Loss: 6.285116195678711
Batch: 4, Loss: 6.585727214813232
Batch: 5, Loss: 6.4854655265808105
Batch: 6, Loss: 6.699428558349609
Batch: 7, Loss: 6.736217498779297
Batch: 8, Loss: 6.8229522705078125
Batch: 9, Loss: 6.512214660644531
Batch: 10, Loss: 6.133346080780029
Batch: 11, Loss: 6.420236110687256
Batch: 12, Loss: 6.809196472167969
Batch: 13, Loss: 6.3488545417785645
Batch: 14, Loss: 6.67825984954834

Epoch 239 out of 2000Batch: 1, Loss: 6.417044639587402
Batch: 2, Loss: 6.90508508682251
Batch: 3, Loss: 6.903987884521484
Batch: 4, Loss: 6.787415027618408
Batch: 5, Loss: 6.651836395263672
Batch: 6, Loss: 6.728936195373535
Batch: 7, Loss: 6.4777140617370605
Batch: 8, Loss: 7.1293044090271
Batch: 9, Loss: 6.881024360656738
Batch: 10, Loss: 6.6745452880859375
Batch: 11, Loss: 6.947731018066406
Batch: 12, Loss: 6.827245712280273
Batch: 13, Loss: 6.832226753234863
Batch: 14, Loss: 6.8402605056762695

Epoch 240 out of 2000Batch: 1, Loss: 6.855179786682129
Batch: 2, Loss: 6.525445938110352
Batch: 3, Loss: 6.99906587600708
Batch: 4, Loss: 7.0379438400268555
Batch: 5, Loss: 6.89632511138916
Batch: 6, Loss: 7.018981456756592
Batch: 7, Loss: 6.33432149887085
Batch: 8, Loss: 6.732226848602295
Batch: 9, Loss: 6.804506778717041
Batch: 10, Loss: 6.919637203216553
Batch: 11, Loss: 7.036604404449463
Batch: 12, Loss: 6.274775505065918
Batch: 13, Loss: 6.094879627227783
Batch: 14, Loss: 6.432109832763672

Epoch 241 out of 2000Batch: 1, Loss: 6.324692249298096
Batch: 2, Loss: 6.505895137786865
Batch: 3, Loss: 6.498507022857666
Batch: 4, Loss: 6.5171074867248535
Batch: 5, Loss: 6.7470383644104
Batch: 6, Loss: 6.915732383728027
Batch: 7, Loss: 6.445075988769531
Batch: 8, Loss: 6.533413887023926
Batch: 9, Loss: 6.29968786239624
Batch: 10, Loss: 6.16627836227417
Batch: 11, Loss: 6.489623069763184
Batch: 12, Loss: 6.676530838012695
Batch: 13, Loss: 6.323909282684326
Batch: 14, Loss: 6.989213943481445

Epoch 242 out of 2000Batch: 1, Loss: 6.382252216339111
Batch: 2, Loss: 6.701380252838135
Batch: 3, Loss: 6.62917947769165
Batch: 4, Loss: 6.199282169342041
Batch: 5, Loss: 6.227067470550537
Batch: 6, Loss: 6.714210510253906
Batch: 7, Loss: 6.348356246948242
Batch: 8, Loss: 6.485624313354492
Batch: 9, Loss: 6.256112098693848
Batch: 10, Loss: 6.48933219909668
Batch: 11, Loss: 6.173366546630859
Batch: 12, Loss: 6.352687835693359
Batch: 13, Loss: 6.254490852355957
Batch: 14, Loss: 6.809306621551514

Epoch 243 out of 2000Batch: 1, Loss: 6.389298439025879
Batch: 2, Loss: 6.123239040374756
Batch: 3, Loss: 5.717784404754639
Batch: 4, Loss: 6.004762649536133
Batch: 5, Loss: 5.844773769378662
Batch: 6, Loss: 6.128811359405518
Batch: 7, Loss: 5.982776641845703
Batch: 8, Loss: 6.023024082183838
Batch: 9, Loss: 5.930299282073975
Batch: 10, Loss: 6.214493274688721
Batch: 11, Loss: 6.003059387207031
Batch: 12, Loss: 6.087129592895508
Batch: 13, Loss: 6.253201007843018
Batch: 14, Loss: 6.079906463623047

Epoch 244 out of 2000Batch: 1, Loss: 6.565959930419922
Batch: 2, Loss: 6.749359130859375
Batch: 3, Loss: 6.515665531158447
Batch: 4, Loss: 6.515732765197754
Batch: 5, Loss: 6.262554168701172
Batch: 6, Loss: 6.58703088760376
Batch: 7, Loss: 6.621485233306885
Batch: 8, Loss: 6.234407901763916
Batch: 9, Loss: 6.354016304016113
Batch: 10, Loss: 6.632039546966553
Batch: 11, Loss: 6.550309658050537
Batch: 12, Loss: 6.794824123382568
Batch: 13, Loss: 6.232256889343262
Batch: 14, Loss: 6.578543663024902

Epoch 245 out of 2000Batch: 1, Loss: 7.003407001495361
Batch: 2, Loss: 7.007806301116943
Batch: 3, Loss: 7.035557746887207
Batch: 4, Loss: 6.710686206817627
Batch: 5, Loss: 6.642287731170654
Batch: 6, Loss: 7.125742435455322
Batch: 7, Loss: 6.830744743347168
Batch: 8, Loss: 6.61405086517334
Batch: 9, Loss: 6.823979377746582
Batch: 10, Loss: 6.809532642364502
Batch: 11, Loss: 6.4204864501953125
Batch: 12, Loss: 6.2635040283203125
Batch: 13, Loss: 6.941951751708984
Batch: 14, Loss: 6.4566569328308105

Epoch 246 out of 2000Batch: 1, Loss: 6.453040599822998
Batch: 2, Loss: 6.7282328605651855
Batch: 3, Loss: 6.657607078552246
Batch: 4, Loss: 6.244235038757324
Batch: 5, Loss: 7.068198204040527
Batch: 6, Loss: 6.580148696899414
Batch: 7, Loss: 6.664871692657471
Batch: 8, Loss: 6.950069427490234
Batch: 9, Loss: 6.607363224029541
Batch: 10, Loss: 6.800402641296387
Batch: 11, Loss: 6.71596097946167
Batch: 12, Loss: 6.956663608551025
Batch: 13, Loss: 7.069314002990723
Batch: 14, Loss: 6.515539169311523

Epoch 247 out of 2000Batch: 1, Loss: 6.213568687438965
Batch: 2, Loss: 5.925537109375
Batch: 3, Loss: 6.193323135375977
Batch: 4, Loss: 6.418954372406006
Batch: 5, Loss: 6.175315856933594
Batch: 6, Loss: 5.633640289306641
Batch: 7, Loss: 6.147407054901123
Batch: 8, Loss: 6.109440326690674
Batch: 9, Loss: 5.996124744415283
Batch: 10, Loss: 5.89483642578125
Batch: 11, Loss: 6.048950672149658
Batch: 12, Loss: 6.116540908813477
Batch: 13, Loss: 6.226560592651367
Batch: 14, Loss: 6.302138328552246

Epoch 248 out of 2000Batch: 1, Loss: 7.0050764083862305
Batch: 2, Loss: 6.854636192321777
Batch: 3, Loss: 6.788520336151123
Batch: 4, Loss: 6.469983100891113
Batch: 5, Loss: 6.983729362487793
Batch: 6, Loss: 6.660493850708008
Batch: 7, Loss: 6.853086948394775
Batch: 8, Loss: 6.686741828918457
Batch: 9, Loss: 6.3871750831604
Batch: 10, Loss: 7.329750061035156
Batch: 11, Loss: 6.99501371383667
Batch: 12, Loss: 6.7319488525390625
Batch: 13, Loss: 6.101170063018799
Batch: 14, Loss: 6.414976596832275

Epoch 249 out of 2000Batch: 1, Loss: 6.556241035461426
Batch: 2, Loss: 6.122775077819824
Batch: 3, Loss: 6.2612409591674805
Batch: 4, Loss: 6.286125659942627
Batch: 5, Loss: 6.525989532470703
Batch: 6, Loss: 6.756008625030518
Batch: 7, Loss: 6.584616661071777
Batch: 8, Loss: 6.597044944763184
Batch: 9, Loss: 6.427514553070068
Batch: 10, Loss: 6.2253642082214355
Batch: 11, Loss: 6.386561393737793
Batch: 12, Loss: 6.656790256500244
Batch: 13, Loss: 6.147275447845459
Batch: 14, Loss: 7.019987106323242

Epoch 250 out of 2000Batch: 1, Loss: 7.00710391998291
Batch: 2, Loss: 6.965588092803955
Batch: 3, Loss: 6.400093078613281
Batch: 4, Loss: 6.787018299102783
Batch: 5, Loss: 6.782601356506348
Batch: 6, Loss: 6.675502777099609
Batch: 7, Loss: 7.0346598625183105
Batch: 8, Loss: 7.045590877532959
Batch: 9, Loss: 6.863956928253174
Batch: 10, Loss: 6.678612232208252
Batch: 11, Loss: 6.55761194229126
Batch: 12, Loss: 6.8653059005737305
Batch: 13, Loss: 6.763181686401367
Batch: 14, Loss: 6.789271831512451

Epoch 251 out of 2000Batch: 1, Loss: 6.502452373504639
Batch: 2, Loss: 6.810542583465576
Batch: 3, Loss: 6.669569969177246
Batch: 4, Loss: 6.622159481048584
Batch: 5, Loss: 6.724765300750732
Batch: 6, Loss: 6.585686206817627
Batch: 7, Loss: 6.981740474700928
Batch: 8, Loss: 6.832521915435791
Batch: 9, Loss: 7.004340648651123
Batch: 10, Loss: 6.676835536956787
Batch: 11, Loss: 6.619357109069824
Batch: 12, Loss: 6.853501319885254
Batch: 13, Loss: 7.2045063972473145
Batch: 14, Loss: 6.882386684417725

Epoch 252 out of 2000Batch: 1, Loss: 6.2209391593933105
Batch: 2, Loss: 6.619785785675049
Batch: 3, Loss: 6.9591803550720215
Batch: 4, Loss: 6.02913236618042
Batch: 5, Loss: 6.377558708190918
Batch: 6, Loss: 6.695200443267822
Batch: 7, Loss: 6.869955062866211
Batch: 8, Loss: 6.2499871253967285
Batch: 9, Loss: 6.8304314613342285
Batch: 10, Loss: 7.154255390167236
Batch: 11, Loss: 6.7377028465271
Batch: 12, Loss: 6.178390026092529
Batch: 13, Loss: 6.629674434661865
Batch: 14, Loss: 6.847035884857178

Epoch 253 out of 2000Batch: 1, Loss: 6.992147922515869
Batch: 2, Loss: 6.852570056915283
Batch: 3, Loss: 6.5612263679504395
Batch: 4, Loss: 6.516416549682617
Batch: 5, Loss: 6.933501243591309
Batch: 6, Loss: 6.440677642822266
Batch: 7, Loss: 6.309655666351318
Batch: 8, Loss: 6.635751247406006
Batch: 9, Loss: 6.795621871948242
Batch: 10, Loss: 6.751931667327881
Batch: 11, Loss: 6.669787406921387
Batch: 12, Loss: 6.289498805999756
Batch: 13, Loss: 7.258646488189697
Batch: 14, Loss: 6.947341442108154

Epoch 254 out of 2000Batch: 1, Loss: 5.969504356384277
Batch: 2, Loss: 6.389739513397217
Batch: 3, Loss: 5.996615409851074
Batch: 4, Loss: 5.8450164794921875
Batch: 5, Loss: 5.913806915283203
Batch: 6, Loss: 6.350716590881348
Batch: 7, Loss: 6.666385650634766
Batch: 8, Loss: 6.336427688598633
Batch: 9, Loss: 6.016299247741699
Batch: 10, Loss: 6.509592056274414
Batch: 11, Loss: 6.050534725189209
Batch: 12, Loss: 6.30841588973999
Batch: 13, Loss: 6.307182788848877
Batch: 14, Loss: 5.810229301452637

Epoch 255 out of 2000Batch: 1, Loss: 6.57969331741333
Batch: 2, Loss: 6.702210426330566
Batch: 3, Loss: 6.2018961906433105
Batch: 4, Loss: 6.81634521484375
Batch: 5, Loss: 6.63959264755249
Batch: 6, Loss: 6.481570720672607
Batch: 7, Loss: 6.64155912399292
Batch: 8, Loss: 6.680821895599365
Batch: 9, Loss: 6.594577789306641
Batch: 10, Loss: 6.320308208465576
Batch: 11, Loss: 6.560841083526611
Batch: 12, Loss: 6.801227569580078
Batch: 13, Loss: 6.221031188964844
Batch: 14, Loss: 6.093864917755127

Epoch 256 out of 2000Batch: 1, Loss: 6.236513137817383
Batch: 2, Loss: 6.312986373901367
Batch: 3, Loss: 5.534570217132568
Batch: 4, Loss: 6.14184045791626
Batch: 5, Loss: 5.816943645477295
Batch: 6, Loss: 5.911193370819092
Batch: 7, Loss: 5.750985622406006
Batch: 8, Loss: 5.567726135253906
Batch: 9, Loss: 5.839144229888916
Batch: 10, Loss: 5.741426467895508
Batch: 11, Loss: 6.117161273956299
Batch: 12, Loss: 5.4860053062438965
Batch: 13, Loss: 5.606288909912109
Batch: 14, Loss: 5.809852600097656

Epoch 257 out of 2000Batch: 1, Loss: 5.715041160583496
Batch: 2, Loss: 5.773857593536377
Batch: 3, Loss: 5.951688289642334
Batch: 4, Loss: 6.033501148223877
Batch: 5, Loss: 5.730031967163086
Batch: 6, Loss: 6.15671968460083
Batch: 7, Loss: 5.903254508972168
Batch: 8, Loss: 5.996209621429443
Batch: 9, Loss: 5.946657180786133
Batch: 10, Loss: 5.632946968078613
Batch: 11, Loss: 5.850287437438965
Batch: 12, Loss: 5.849442958831787
Batch: 13, Loss: 5.696844100952148
Batch: 14, Loss: 5.516021251678467

Epoch 258 out of 2000Batch: 1, Loss: 6.590639591217041
Batch: 2, Loss: 6.17399263381958
Batch: 3, Loss: 6.982413291931152
Batch: 4, Loss: 6.3459577560424805
Batch: 5, Loss: 6.768886089324951
Batch: 6, Loss: 6.560970306396484
Batch: 7, Loss: 6.475998401641846
Batch: 8, Loss: 6.851991653442383
Batch: 9, Loss: 6.657087802886963
Batch: 10, Loss: 6.198180675506592
Batch: 11, Loss: 6.5492472648620605
Batch: 12, Loss: 6.29885721206665
Batch: 13, Loss: 6.428487777709961
Batch: 14, Loss: 6.925070285797119

Epoch 259 out of 2000Batch: 1, Loss: 5.35311222076416
Batch: 2, Loss: 5.910303592681885
Batch: 3, Loss: 5.630570411682129
Batch: 4, Loss: 5.682920455932617
Batch: 5, Loss: 5.509328842163086
Batch: 6, Loss: 5.453466892242432
Batch: 7, Loss: 5.815985679626465
Batch: 8, Loss: 5.716891288757324
Batch: 9, Loss: 5.507336139678955
Batch: 10, Loss: 5.291748523712158
Batch: 11, Loss: 5.838659286499023
Batch: 12, Loss: 4.848008632659912
Batch: 13, Loss: 5.638832092285156
Batch: 14, Loss: 5.278431415557861

Epoch 260 out of 2000Batch: 1, Loss: 6.387449741363525
Batch: 2, Loss: 6.5166730880737305
Batch: 3, Loss: 6.625453948974609
Batch: 4, Loss: 6.053467273712158
Batch: 5, Loss: 6.764946937561035
Batch: 6, Loss: 5.934474945068359
Batch: 7, Loss: 6.214557647705078
Batch: 8, Loss: 6.484777450561523
Batch: 9, Loss: 6.302381992340088
Batch: 10, Loss: 6.259953022003174
Batch: 11, Loss: 6.112793922424316
Batch: 12, Loss: 6.400326251983643
Batch: 13, Loss: 6.237057685852051
Batch: 14, Loss: 6.33665657043457

Epoch 261 out of 2000Batch: 1, Loss: 6.365828037261963
Batch: 2, Loss: 6.639106750488281
Batch: 3, Loss: 6.580977439880371
Batch: 4, Loss: 6.239777565002441
Batch: 5, Loss: 6.718355655670166
Batch: 6, Loss: 5.996592044830322
Batch: 7, Loss: 6.365904808044434
Batch: 8, Loss: 6.817254066467285
Batch: 9, Loss: 6.6446027755737305
Batch: 10, Loss: 6.872753620147705
Batch: 11, Loss: 6.254095077514648
Batch: 12, Loss: 6.471841335296631
Batch: 13, Loss: 6.566205978393555
Batch: 14, Loss: 6.283167362213135

Epoch 262 out of 2000Batch: 1, Loss: 6.332608222961426
Batch: 2, Loss: 6.13120174407959
Batch: 3, Loss: 5.801671028137207
Batch: 4, Loss: 5.9886884689331055
Batch: 5, Loss: 5.856868743896484
Batch: 6, Loss: 6.068666458129883
Batch: 7, Loss: 6.1857099533081055
Batch: 8, Loss: 6.45081090927124
Batch: 9, Loss: 5.850844860076904
Batch: 10, Loss: 6.001138687133789
Batch: 11, Loss: 5.253141403198242
Batch: 12, Loss: 5.904958248138428
Batch: 13, Loss: 5.682183265686035
Batch: 14, Loss: 5.905127048492432

Epoch 263 out of 2000Batch: 1, Loss: 6.057323932647705
Batch: 2, Loss: 5.9765825271606445
Batch: 3, Loss: 5.523874759674072
Batch: 4, Loss: 5.875518798828125
Batch: 5, Loss: 5.800067901611328
Batch: 6, Loss: 5.72411584854126
Batch: 7, Loss: 5.636054992675781
Batch: 8, Loss: 5.782727241516113
Batch: 9, Loss: 5.711377143859863
Batch: 10, Loss: 6.09601354598999
Batch: 11, Loss: 5.853743076324463
Batch: 12, Loss: 5.8921990394592285
Batch: 13, Loss: 5.594430446624756
Batch: 14, Loss: 6.5857930183410645

Epoch 264 out of 2000Batch: 1, Loss: 5.9097490310668945
Batch: 2, Loss: 6.608236789703369
Batch: 3, Loss: 6.223017692565918
Batch: 4, Loss: 6.067171096801758
Batch: 5, Loss: 5.982856273651123
Batch: 6, Loss: 6.121416091918945
Batch: 7, Loss: 6.09820556640625
Batch: 8, Loss: 6.344155788421631
Batch: 9, Loss: 6.134936809539795
Batch: 10, Loss: 6.128767490386963
Batch: 11, Loss: 5.860091209411621
Batch: 12, Loss: 6.162012100219727
Batch: 13, Loss: 6.220443248748779
Batch: 14, Loss: 6.169330596923828

Epoch 265 out of 2000Batch: 1, Loss: 6.618932247161865
Batch: 2, Loss: 7.06873083114624
Batch: 3, Loss: 6.768057823181152
Batch: 4, Loss: 6.6093525886535645
Batch: 5, Loss: 7.087334632873535
Batch: 6, Loss: 6.747612953186035
Batch: 7, Loss: 7.025720596313477
Batch: 8, Loss: 6.302779197692871
Batch: 9, Loss: 6.5044474601745605
Batch: 10, Loss: 6.863656044006348
Batch: 11, Loss: 6.92439603805542
Batch: 12, Loss: 7.094872951507568
Batch: 13, Loss: 6.842509746551514
Batch: 14, Loss: 6.738744735717773

Epoch 266 out of 2000Batch: 1, Loss: 6.332239151000977
Batch: 2, Loss: 6.400776386260986
Batch: 3, Loss: 6.755644798278809
Batch: 4, Loss: 6.439878940582275
Batch: 5, Loss: 6.355945110321045
Batch: 6, Loss: 6.553986072540283
Batch: 7, Loss: 6.502701282501221
Batch: 8, Loss: 6.4207539558410645
Batch: 9, Loss: 6.588540554046631
Batch: 10, Loss: 6.52803373336792
Batch: 11, Loss: 6.450438499450684
Batch: 12, Loss: 6.26556396484375
Batch: 13, Loss: 6.115823745727539
Batch: 14, Loss: 6.098773956298828

Epoch 267 out of 2000Batch: 1, Loss: 6.63448429107666
Batch: 2, Loss: 6.320898532867432
Batch: 3, Loss: 6.394742012023926
Batch: 4, Loss: 6.270273208618164
Batch: 5, Loss: 6.466155529022217
Batch: 6, Loss: 6.318633556365967
Batch: 7, Loss: 6.636858940124512
Batch: 8, Loss: 6.537940502166748
Batch: 9, Loss: 6.440672874450684
Batch: 10, Loss: 6.605180740356445
Batch: 11, Loss: 6.423032760620117
Batch: 12, Loss: 6.208687782287598
Batch: 13, Loss: 6.121781349182129
Batch: 14, Loss: 6.52732515335083

Epoch 268 out of 2000Batch: 1, Loss: 5.817605972290039
Batch: 2, Loss: 5.56591796875
Batch: 3, Loss: 5.767357349395752
Batch: 4, Loss: 5.833929538726807
Batch: 5, Loss: 5.979772090911865
Batch: 6, Loss: 5.702449321746826
Batch: 7, Loss: 5.711402893066406
Batch: 8, Loss: 5.656618118286133
Batch: 9, Loss: 5.670705795288086
Batch: 10, Loss: 5.764481067657471
Batch: 11, Loss: 5.832690238952637
Batch: 12, Loss: 5.916331768035889
Batch: 13, Loss: 5.673458099365234
Batch: 14, Loss: 5.802009582519531

Epoch 269 out of 2000Batch: 1, Loss: 6.119664669036865
Batch: 2, Loss: 6.053743362426758
Batch: 3, Loss: 6.240535259246826
Batch: 4, Loss: 6.198611259460449
Batch: 5, Loss: 6.248764991760254
Batch: 6, Loss: 5.925285339355469
Batch: 7, Loss: 6.413885116577148
Batch: 8, Loss: 6.248763084411621
Batch: 9, Loss: 6.317653179168701
Batch: 10, Loss: 6.281886577606201
Batch: 11, Loss: 6.205010890960693
Batch: 12, Loss: 6.2558369636535645
Batch: 13, Loss: 6.50551700592041
Batch: 14, Loss: 5.690208911895752

Epoch 270 out of 2000Batch: 1, Loss: 7.139677047729492
Batch: 2, Loss: 6.8578782081604
Batch: 3, Loss: 6.8534016609191895
Batch: 4, Loss: 6.140139579772949
Batch: 5, Loss: 6.656342029571533
Batch: 6, Loss: 6.898138999938965
Batch: 7, Loss: 6.361640453338623
Batch: 8, Loss: 7.087790489196777
Batch: 9, Loss: 6.776236534118652
Batch: 10, Loss: 6.704557418823242
Batch: 11, Loss: 6.3591179847717285
Batch: 12, Loss: 6.881977558135986
Batch: 13, Loss: 6.872507572174072
Batch: 14, Loss: 6.5864410400390625

Epoch 271 out of 2000Batch: 1, Loss: 6.473427772521973
Batch: 2, Loss: 6.888392448425293
Batch: 3, Loss: 6.265880107879639
Batch: 4, Loss: 6.749706268310547
Batch: 5, Loss: 6.164233684539795
Batch: 6, Loss: 5.863155364990234
Batch: 7, Loss: 6.586061954498291
Batch: 8, Loss: 6.486928939819336
Batch: 9, Loss: 6.621435642242432
Batch: 10, Loss: 6.2547688484191895
Batch: 11, Loss: 6.234213352203369
Batch: 12, Loss: 6.073531150817871
Batch: 13, Loss: 6.056525230407715
Batch: 14, Loss: 5.695419788360596

Epoch 272 out of 2000Batch: 1, Loss: 5.358672618865967
Batch: 2, Loss: 5.352324485778809
Batch: 3, Loss: 5.334787845611572
Batch: 4, Loss: 5.570962429046631
Batch: 5, Loss: 5.063891410827637
Batch: 6, Loss: 5.5099406242370605
Batch: 7, Loss: 5.308932304382324
Batch: 8, Loss: 5.301405906677246
Batch: 9, Loss: 5.274173259735107
Batch: 10, Loss: 4.817277908325195
Batch: 11, Loss: 5.080679893493652
Batch: 12, Loss: 4.954839706420898
Batch: 13, Loss: 5.155487537384033
Batch: 14, Loss: 5.20554780960083

Epoch 273 out of 2000Batch: 1, Loss: 7.243207931518555
Batch: 2, Loss: 7.042459011077881
Batch: 3, Loss: 6.683028221130371
Batch: 4, Loss: 7.067709922790527
Batch: 5, Loss: 6.6936163902282715
Batch: 6, Loss: 6.823848724365234
Batch: 7, Loss: 6.650424003601074
Batch: 8, Loss: 6.395804405212402
Batch: 9, Loss: 6.554547309875488
Batch: 10, Loss: 6.847202301025391
Batch: 11, Loss: 6.315536975860596
Batch: 12, Loss: 6.483438014984131
Batch: 13, Loss: 6.2022199630737305
Batch: 14, Loss: 5.977781772613525

Epoch 274 out of 2000Batch: 1, Loss: 6.878537178039551
Batch: 2, Loss: 7.458013534545898
Batch: 3, Loss: 6.633114337921143
Batch: 4, Loss: 6.747766971588135
Batch: 5, Loss: 7.404077053070068
Batch: 6, Loss: 6.71640157699585
Batch: 7, Loss: 7.093563556671143
Batch: 8, Loss: 6.8726325035095215
Batch: 9, Loss: 6.698167324066162
Batch: 10, Loss: 6.617649078369141
Batch: 11, Loss: 6.759906768798828
Batch: 12, Loss: 6.711089134216309
Batch: 13, Loss: 6.891635894775391
Batch: 14, Loss: 6.993509769439697

Epoch 275 out of 2000Batch: 1, Loss: 5.779818058013916
Batch: 2, Loss: 5.368874549865723
Batch: 3, Loss: 5.788487434387207
Batch: 4, Loss: 5.799055576324463
Batch: 5, Loss: 5.79258394241333
Batch: 6, Loss: 5.500442981719971
Batch: 7, Loss: 5.873405456542969
Batch: 8, Loss: 5.370788097381592
Batch: 9, Loss: 5.442118167877197
Batch: 10, Loss: 5.463845252990723
Batch: 11, Loss: 5.385749340057373
Batch: 12, Loss: 5.316860198974609
Batch: 13, Loss: 5.701888561248779
Batch: 14, Loss: 5.714049339294434

Epoch 276 out of 2000Batch: 1, Loss: 7.298520565032959
Batch: 2, Loss: 6.555317401885986
Batch: 3, Loss: 6.054709434509277
Batch: 4, Loss: 6.639613151550293
Batch: 5, Loss: 6.644518852233887
Batch: 6, Loss: 6.661396503448486
Batch: 7, Loss: 6.337604522705078
Batch: 8, Loss: 6.750409126281738
Batch: 9, Loss: 7.01230525970459
Batch: 10, Loss: 6.6559062004089355
Batch: 11, Loss: 6.568737030029297
Batch: 12, Loss: 6.380610942840576
Batch: 13, Loss: 6.504767417907715
Batch: 14, Loss: 6.720651149749756

Epoch 277 out of 2000Batch: 1, Loss: 7.020098686218262
Batch: 2, Loss: 6.8182597160339355
Batch: 3, Loss: 6.7761688232421875
Batch: 4, Loss: 6.830905914306641
Batch: 5, Loss: 7.066864967346191
Batch: 6, Loss: 6.440428733825684
Batch: 7, Loss: 6.743769645690918
Batch: 8, Loss: 6.735171794891357
Batch: 9, Loss: 6.521625995635986
Batch: 10, Loss: 6.823816299438477
Batch: 11, Loss: 6.7825188636779785
Batch: 12, Loss: 7.016591548919678
Batch: 13, Loss: 6.988535404205322
Batch: 14, Loss: 6.449739456176758

Epoch 278 out of 2000Batch: 1, Loss: 5.891290187835693
Batch: 2, Loss: 5.969011306762695
Batch: 3, Loss: 6.0283203125
Batch: 4, Loss: 6.173478603363037
Batch: 5, Loss: 6.261836528778076
Batch: 6, Loss: 6.077346324920654
Batch: 7, Loss: 5.765477180480957
Batch: 8, Loss: 6.337004661560059
Batch: 9, Loss: 5.870839595794678
Batch: 10, Loss: 6.342025279998779
Batch: 11, Loss: 5.888082027435303
Batch: 12, Loss: 6.213174819946289
Batch: 13, Loss: 6.2057342529296875
Batch: 14, Loss: 6.061867713928223

Epoch 279 out of 2000Batch: 1, Loss: 6.811206340789795
Batch: 2, Loss: 6.8959736824035645
Batch: 3, Loss: 7.126654624938965
Batch: 4, Loss: 6.476036548614502
Batch: 5, Loss: 6.875547409057617
Batch: 6, Loss: 6.772660732269287
Batch: 7, Loss: 6.498429775238037
Batch: 8, Loss: 6.999869346618652
Batch: 9, Loss: 6.8646721839904785
Batch: 10, Loss: 6.268091201782227
Batch: 11, Loss: 7.016061305999756
Batch: 12, Loss: 7.019880771636963
Batch: 13, Loss: 6.924196720123291
Batch: 14, Loss: 5.811572074890137

Epoch 280 out of 2000Batch: 1, Loss: 6.711134433746338
Batch: 2, Loss: 6.771842956542969
Batch: 3, Loss: 6.654658317565918
Batch: 4, Loss: 7.045618534088135
Batch: 5, Loss: 6.750638484954834
Batch: 6, Loss: 6.299299240112305
Batch: 7, Loss: 6.295205593109131
Batch: 8, Loss: 6.687384128570557
Batch: 9, Loss: 6.408466339111328
Batch: 10, Loss: 6.638520240783691
Batch: 11, Loss: 6.6891069412231445
Batch: 12, Loss: 6.655674457550049
Batch: 13, Loss: 6.950794219970703
Batch: 14, Loss: 6.713871002197266

Epoch 281 out of 2000Batch: 1, Loss: 6.8305583000183105
Batch: 2, Loss: 6.297835826873779
Batch: 3, Loss: 6.8550944328308105
Batch: 4, Loss: 6.313659191131592
Batch: 5, Loss: 6.495986461639404
Batch: 6, Loss: 6.7272114753723145
Batch: 7, Loss: 6.114760875701904
Batch: 8, Loss: 6.321096897125244
Batch: 9, Loss: 7.139601230621338
Batch: 10, Loss: 6.150638103485107
Batch: 11, Loss: 6.286636829376221
Batch: 12, Loss: 6.411062717437744
Batch: 13, Loss: 6.315162181854248
Batch: 14, Loss: 6.144660472869873

Epoch 282 out of 2000Batch: 1, Loss: 6.244492053985596
Batch: 2, Loss: 6.213024139404297
Batch: 3, Loss: 6.3787126541137695
Batch: 4, Loss: 6.1199493408203125
Batch: 5, Loss: 6.130898475646973
Batch: 6, Loss: 6.183664798736572
Batch: 7, Loss: 6.085947513580322
Batch: 8, Loss: 6.373296737670898
Batch: 9, Loss: 6.2922821044921875
Batch: 10, Loss: 5.897322654724121
Batch: 11, Loss: 6.127382755279541
Batch: 12, Loss: 6.137359619140625
Batch: 13, Loss: 6.419626235961914
Batch: 14, Loss: 5.971893787384033

Epoch 283 out of 2000Batch: 1, Loss: 6.503170013427734
Batch: 2, Loss: 7.379247188568115
Batch: 3, Loss: 6.849268913269043
Batch: 4, Loss: 6.127285957336426
Batch: 5, Loss: 7.090273380279541
Batch: 6, Loss: 6.887322902679443
Batch: 7, Loss: 7.31081485748291
Batch: 8, Loss: 6.9940361976623535
Batch: 9, Loss: 6.668970108032227
Batch: 10, Loss: 6.847408294677734
Batch: 11, Loss: 6.817515850067139
Batch: 12, Loss: 6.467808246612549
Batch: 13, Loss: 6.566833972930908
Batch: 14, Loss: 6.117406845092773

Epoch 284 out of 2000Batch: 1, Loss: 6.059647560119629
Batch: 2, Loss: 6.417092323303223
Batch: 3, Loss: 5.742650985717773
Batch: 4, Loss: 6.417557716369629
Batch: 5, Loss: 6.135007381439209
Batch: 6, Loss: 6.338153839111328
Batch: 7, Loss: 6.226161479949951
Batch: 8, Loss: 6.026600360870361
Batch: 9, Loss: 6.007607936859131
Batch: 10, Loss: 6.522575855255127
Batch: 11, Loss: 6.122471332550049
Batch: 12, Loss: 6.301823616027832
Batch: 13, Loss: 6.3379974365234375
Batch: 14, Loss: 6.457240581512451

Epoch 285 out of 2000Batch: 1, Loss: 6.27421236038208
Batch: 2, Loss: 6.580774307250977
Batch: 3, Loss: 6.693665981292725
Batch: 4, Loss: 7.068877696990967
Batch: 5, Loss: 6.618707656860352
Batch: 6, Loss: 7.12833309173584
Batch: 7, Loss: 6.61182975769043
Batch: 8, Loss: 6.56884765625
Batch: 9, Loss: 6.701564311981201
Batch: 10, Loss: 6.262365818023682
Batch: 11, Loss: 6.479331016540527
Batch: 12, Loss: 6.508338451385498
Batch: 13, Loss: 6.823997974395752
Batch: 14, Loss: 7.270563125610352

Epoch 286 out of 2000Batch: 1, Loss: 6.379278659820557
Batch: 2, Loss: 6.361700057983398
Batch: 3, Loss: 6.315045356750488
Batch: 4, Loss: 5.641857624053955
Batch: 5, Loss: 6.198379993438721
Batch: 6, Loss: 6.022443771362305
Batch: 7, Loss: 6.198325157165527
Batch: 8, Loss: 6.365493297576904
Batch: 9, Loss: 6.086709022521973
Batch: 10, Loss: 6.359696388244629
Batch: 11, Loss: 6.563793182373047
Batch: 12, Loss: 6.262809753417969
Batch: 13, Loss: 6.922423839569092
Batch: 14, Loss: 5.894800662994385

Epoch 287 out of 2000Batch: 1, Loss: 6.733347415924072
Batch: 2, Loss: 6.408993244171143
Batch: 3, Loss: 6.617613792419434
Batch: 4, Loss: 6.840401649475098
Batch: 5, Loss: 6.831401348114014
Batch: 6, Loss: 6.74265718460083
Batch: 7, Loss: 6.572720050811768
Batch: 8, Loss: 6.200921058654785
Batch: 9, Loss: 6.444574356079102
Batch: 10, Loss: 6.690258026123047
Batch: 11, Loss: 6.560604095458984
Batch: 12, Loss: 6.76023530960083
Batch: 13, Loss: 7.094396591186523
Batch: 14, Loss: 7.144247055053711

Epoch 288 out of 2000Batch: 1, Loss: 6.2947492599487305
Batch: 2, Loss: 5.8512654304504395
Batch: 3, Loss: 5.977621555328369
Batch: 4, Loss: 6.034411430358887
Batch: 5, Loss: 5.887454986572266
Batch: 6, Loss: 5.641430854797363
Batch: 7, Loss: 5.772791862487793
Batch: 8, Loss: 5.899047374725342
Batch: 9, Loss: 6.072444915771484
Batch: 10, Loss: 6.242467880249023
Batch: 11, Loss: 6.063303470611572
Batch: 12, Loss: 5.956428050994873
Batch: 13, Loss: 5.966595649719238
Batch: 14, Loss: 5.891472339630127

Epoch 289 out of 2000Batch: 1, Loss: 6.084470748901367
Batch: 2, Loss: 6.451187610626221
Batch: 3, Loss: 6.150754451751709
Batch: 4, Loss: 6.294328689575195
Batch: 5, Loss: 5.855499267578125
Batch: 6, Loss: 5.86314582824707
Batch: 7, Loss: 6.087128162384033
Batch: 8, Loss: 6.230093002319336
Batch: 9, Loss: 6.197152137756348
Batch: 10, Loss: 6.439626693725586
Batch: 11, Loss: 6.379861354827881
Batch: 12, Loss: 6.22289514541626
Batch: 13, Loss: 6.254741668701172
Batch: 14, Loss: 5.9986772537231445

Epoch 290 out of 2000Batch: 1, Loss: 6.1067399978637695
Batch: 2, Loss: 5.952652454376221
Batch: 3, Loss: 6.303936004638672
Batch: 4, Loss: 6.396417140960693
Batch: 5, Loss: 6.267888069152832
Batch: 6, Loss: 6.444897174835205
Batch: 7, Loss: 5.977386951446533
Batch: 8, Loss: 6.3415327072143555
Batch: 9, Loss: 6.374693393707275
Batch: 10, Loss: 6.322928428649902
Batch: 11, Loss: 6.021265983581543
Batch: 12, Loss: 6.151505947113037
Batch: 13, Loss: 6.340598106384277
Batch: 14, Loss: 7.005862712860107

Epoch 291 out of 2000Batch: 1, Loss: 6.945784091949463
Batch: 2, Loss: 6.753893852233887
Batch: 3, Loss: 6.101321220397949
Batch: 4, Loss: 6.5935378074646
Batch: 5, Loss: 6.455239295959473
Batch: 6, Loss: 6.109105587005615
Batch: 7, Loss: 6.888138294219971
Batch: 8, Loss: 6.515203475952148
Batch: 9, Loss: 6.439373970031738
Batch: 10, Loss: 6.616246223449707
Batch: 11, Loss: 6.543565273284912
Batch: 12, Loss: 6.460188865661621
Batch: 13, Loss: 6.912833213806152
Batch: 14, Loss: 6.184695720672607

Epoch 292 out of 2000Batch: 1, Loss: 5.822746276855469
Batch: 2, Loss: 5.423931121826172
Batch: 3, Loss: 5.520285606384277
Batch: 4, Loss: 5.759775638580322
Batch: 5, Loss: 5.909854412078857
Batch: 6, Loss: 5.860021114349365
Batch: 7, Loss: 5.646610736846924
Batch: 8, Loss: 5.80270528793335
Batch: 9, Loss: 5.743473052978516
Batch: 10, Loss: 5.817266464233398
Batch: 11, Loss: 6.053262710571289
Batch: 12, Loss: 5.520264625549316
Batch: 13, Loss: 5.606813430786133
Batch: 14, Loss: 6.24240255355835

Epoch 293 out of 2000Batch: 1, Loss: 6.225704669952393
Batch: 2, Loss: 6.425685882568359
Batch: 3, Loss: 6.864625930786133
Batch: 4, Loss: 6.61767578125
Batch: 5, Loss: 6.434073448181152
Batch: 6, Loss: 6.218584060668945
Batch: 7, Loss: 6.50551176071167
Batch: 8, Loss: 6.636737823486328
Batch: 9, Loss: 6.282660007476807
Batch: 10, Loss: 6.709461688995361
Batch: 11, Loss: 6.20843505859375
Batch: 12, Loss: 6.506066799163818
Batch: 13, Loss: 5.899712085723877
Batch: 14, Loss: 6.4831390380859375

Epoch 294 out of 2000Batch: 1, Loss: 6.5516676902771
Batch: 2, Loss: 6.592243194580078
Batch: 3, Loss: 6.1269636154174805
Batch: 4, Loss: 6.275087833404541
Batch: 5, Loss: 6.3492913246154785
Batch: 6, Loss: 6.356724739074707
Batch: 7, Loss: 6.190324306488037
Batch: 8, Loss: 6.280385971069336
Batch: 9, Loss: 6.700749397277832
Batch: 10, Loss: 6.747808933258057
Batch: 11, Loss: 6.3926801681518555
Batch: 12, Loss: 6.285175323486328
Batch: 13, Loss: 5.73050594329834
Batch: 14, Loss: 6.696020603179932

Epoch 295 out of 2000Batch: 1, Loss: 6.4627580642700195
Batch: 2, Loss: 6.34933614730835
Batch: 3, Loss: 6.429089069366455
Batch: 4, Loss: 6.475039958953857
Batch: 5, Loss: 6.226720809936523
Batch: 6, Loss: 6.738104343414307
Batch: 7, Loss: 6.6785407066345215
Batch: 8, Loss: 6.591939449310303
Batch: 9, Loss: 6.219616889953613
Batch: 10, Loss: 6.571598529815674
Batch: 11, Loss: 6.141739368438721
Batch: 12, Loss: 7.020720481872559
Batch: 13, Loss: 6.431741714477539
Batch: 14, Loss: 6.894232749938965

Epoch 296 out of 2000Batch: 1, Loss: 6.286795139312744
Batch: 2, Loss: 6.100086688995361
Batch: 3, Loss: 6.201035976409912
Batch: 4, Loss: 6.35938835144043
Batch: 5, Loss: 6.655385971069336
Batch: 6, Loss: 6.438426494598389
Batch: 7, Loss: 6.219074726104736
Batch: 8, Loss: 6.336146354675293
Batch: 9, Loss: 6.350131034851074
Batch: 10, Loss: 6.382256984710693
Batch: 11, Loss: 5.842522144317627
Batch: 12, Loss: 6.225103855133057
Batch: 13, Loss: 6.007227420806885
Batch: 14, Loss: 6.157092094421387

Epoch 297 out of 2000Batch: 1, Loss: 6.287754535675049
Batch: 2, Loss: 6.470451354980469
Batch: 3, Loss: 6.536173343658447
Batch: 4, Loss: 6.292454719543457
Batch: 5, Loss: 7.276051998138428
Batch: 6, Loss: 6.452698707580566
Batch: 7, Loss: 6.622564315795898
Batch: 8, Loss: 6.84627103805542
Batch: 9, Loss: 6.434446811676025
Batch: 10, Loss: 6.436484336853027
Batch: 11, Loss: 6.377382755279541
Batch: 12, Loss: 6.426447868347168
Batch: 13, Loss: 6.042552947998047
Batch: 14, Loss: 6.4331512451171875

Epoch 298 out of 2000Batch: 1, Loss: 6.765019416809082
Batch: 2, Loss: 5.949365615844727
Batch: 3, Loss: 5.6821370124816895
Batch: 4, Loss: 6.202328205108643
Batch: 5, Loss: 6.534907817840576
Batch: 6, Loss: 6.434938430786133
Batch: 7, Loss: 6.07771110534668
Batch: 8, Loss: 6.413674354553223
Batch: 9, Loss: 6.552462100982666
Batch: 10, Loss: 6.248271465301514
Batch: 11, Loss: 5.9678730964660645
Batch: 12, Loss: 6.0125579833984375
Batch: 13, Loss: 5.856756210327148
Batch: 14, Loss: 6.414855480194092

Epoch 299 out of 2000Batch: 1, Loss: 5.857162952423096
Batch: 2, Loss: 6.0579304695129395
Batch: 3, Loss: 5.808225154876709
Batch: 4, Loss: 5.280891418457031
Batch: 5, Loss: 5.823418140411377
Batch: 6, Loss: 5.633967876434326
Batch: 7, Loss: 5.664241790771484
Batch: 8, Loss: 6.112771511077881
Batch: 9, Loss: 5.592026710510254
Batch: 10, Loss: 5.862653732299805
Batch: 11, Loss: 5.736452102661133
Batch: 12, Loss: 5.794463634490967
Batch: 13, Loss: 5.744844436645508
Batch: 14, Loss: 5.468380451202393

Epoch 300 out of 2000Batch: 1, Loss: 6.019838809967041
Batch: 2, Loss: 6.606173038482666
Batch: 3, Loss: 5.388219356536865
Batch: 4, Loss: 6.359787464141846
Batch: 5, Loss: 6.272607326507568
Batch: 6, Loss: 5.800456523895264
Batch: 7, Loss: 6.294499397277832
Batch: 8, Loss: 6.260092735290527
Batch: 9, Loss: 5.830860614776611
Batch: 10, Loss: 6.160445690155029
Batch: 11, Loss: 6.090276718139648
Batch: 12, Loss: 5.92116641998291
Batch: 13, Loss: 6.493922710418701
Batch: 14, Loss: 6.370154857635498

Epoch 301 out of 2000Batch: 1, Loss: 6.191472053527832
Batch: 2, Loss: 5.999788284301758
Batch: 3, Loss: 6.057554721832275
Batch: 4, Loss: 6.4608025550842285
Batch: 5, Loss: 6.095077037811279
Batch: 6, Loss: 6.36090612411499
Batch: 7, Loss: 6.251209735870361
Batch: 8, Loss: 6.454048156738281
Batch: 9, Loss: 6.382524490356445
Batch: 10, Loss: 6.242164134979248
Batch: 11, Loss: 6.139590263366699
Batch: 12, Loss: 5.907323360443115
Batch: 13, Loss: 5.865889549255371
Batch: 14, Loss: 4.910618782043457

Epoch 302 out of 2000Batch: 1, Loss: 6.66310977935791
Batch: 2, Loss: 5.876775741577148
Batch: 3, Loss: 6.700148105621338
Batch: 4, Loss: 6.671848297119141
Batch: 5, Loss: 6.229495048522949
Batch: 6, Loss: 6.467260360717773
Batch: 7, Loss: 6.292116165161133
Batch: 8, Loss: 6.673161506652832
Batch: 9, Loss: 6.604491233825684
Batch: 10, Loss: 6.548782825469971
Batch: 11, Loss: 6.063044548034668
Batch: 12, Loss: 5.976924896240234
Batch: 13, Loss: 5.998785972595215
Batch: 14, Loss: 5.957444667816162

Epoch 303 out of 2000Batch: 1, Loss: 6.373836040496826
Batch: 2, Loss: 5.960052013397217
Batch: 3, Loss: 6.054434299468994
Batch: 4, Loss: 6.464013576507568
Batch: 5, Loss: 6.237355709075928
Batch: 6, Loss: 6.208915710449219
Batch: 7, Loss: 5.539623737335205
Batch: 8, Loss: 5.892632961273193
Batch: 9, Loss: 5.917908191680908
Batch: 10, Loss: 6.27687931060791
Batch: 11, Loss: 6.18496561050415
Batch: 12, Loss: 5.801723480224609
Batch: 13, Loss: 5.851141452789307
Batch: 14, Loss: 5.929638862609863

Epoch 304 out of 2000Batch: 1, Loss: 6.561508655548096
Batch: 2, Loss: 6.602367401123047
Batch: 3, Loss: 6.106393814086914
Batch: 4, Loss: 5.907362461090088
Batch: 5, Loss: 6.6928815841674805
Batch: 6, Loss: 6.363836765289307
Batch: 7, Loss: 6.660837650299072
Batch: 8, Loss: 6.06302547454834
Batch: 9, Loss: 6.2433552742004395
Batch: 10, Loss: 6.557454586029053
Batch: 11, Loss: 6.027110576629639
Batch: 12, Loss: 6.3736653327941895
Batch: 13, Loss: 6.204180717468262
Batch: 14, Loss: 6.602214336395264

Epoch 305 out of 2000Batch: 1, Loss: 6.529715061187744
Batch: 2, Loss: 6.448307514190674
Batch: 3, Loss: 6.214953899383545
Batch: 4, Loss: 6.332916259765625
Batch: 5, Loss: 6.034459590911865
Batch: 6, Loss: 6.765378952026367
Batch: 7, Loss: 6.943514823913574
Batch: 8, Loss: 6.201382160186768
Batch: 9, Loss: 6.251681804656982
Batch: 10, Loss: 6.702215671539307
Batch: 11, Loss: 6.332479953765869
Batch: 12, Loss: 6.216979503631592
Batch: 13, Loss: 6.365171432495117
Batch: 14, Loss: 6.336274147033691

Epoch 306 out of 2000Batch: 1, Loss: 6.500097274780273
Batch: 2, Loss: 6.276473045349121
Batch: 3, Loss: 6.250342845916748
Batch: 4, Loss: 6.264659404754639
Batch: 5, Loss: 6.275537490844727
Batch: 6, Loss: 6.815260410308838
Batch: 7, Loss: 6.527657985687256
Batch: 8, Loss: 6.548214435577393
Batch: 9, Loss: 6.812989234924316
Batch: 10, Loss: 5.966528415679932
Batch: 11, Loss: 6.3502020835876465
Batch: 12, Loss: 5.932014465332031
Batch: 13, Loss: 6.490857124328613
Batch: 14, Loss: 6.294086933135986

Epoch 307 out of 2000Batch: 1, Loss: 6.349042892456055
Batch: 2, Loss: 6.345242023468018
Batch: 3, Loss: 5.575555801391602
Batch: 4, Loss: 5.892739772796631
Batch: 5, Loss: 5.851918697357178
Batch: 6, Loss: 5.835025787353516
Batch: 7, Loss: 5.860634803771973
Batch: 8, Loss: 5.9031596183776855
Batch: 9, Loss: 5.791623592376709
Batch: 10, Loss: 5.8605523109436035
Batch: 11, Loss: 6.32705020904541
Batch: 12, Loss: 6.152583122253418
Batch: 13, Loss: 5.995890140533447
Batch: 14, Loss: 6.0911335945129395

Epoch 308 out of 2000Batch: 1, Loss: 6.645755767822266
Batch: 2, Loss: 6.53029203414917
Batch: 3, Loss: 6.496406555175781
Batch: 4, Loss: 6.728668212890625
Batch: 5, Loss: 6.457359313964844
Batch: 6, Loss: 6.334193706512451
Batch: 7, Loss: 6.352787017822266
Batch: 8, Loss: 6.569096088409424
Batch: 9, Loss: 6.952754497528076
Batch: 10, Loss: 6.657495975494385
Batch: 11, Loss: 5.857166767120361
Batch: 12, Loss: 6.374932765960693
Batch: 13, Loss: 6.71176815032959
Batch: 14, Loss: 5.964071273803711

Epoch 309 out of 2000Batch: 1, Loss: 6.3201093673706055
Batch: 2, Loss: 7.4084649085998535
Batch: 3, Loss: 6.284546375274658
Batch: 4, Loss: 6.227035045623779
Batch: 5, Loss: 6.024079322814941
Batch: 6, Loss: 6.435607433319092
Batch: 7, Loss: 6.6881914138793945
Batch: 8, Loss: 7.032375812530518
Batch: 9, Loss: 6.269953727722168
Batch: 10, Loss: 7.106823444366455
Batch: 11, Loss: 6.661944389343262
Batch: 12, Loss: 6.53097677230835
Batch: 13, Loss: 6.947212219238281
Batch: 14, Loss: 6.979020595550537

Epoch 310 out of 2000Batch: 1, Loss: 6.590019702911377
Batch: 2, Loss: 6.441930294036865
Batch: 3, Loss: 6.765881538391113
Batch: 4, Loss: 5.958673000335693
Batch: 5, Loss: 5.966982841491699
Batch: 6, Loss: 6.619441509246826
Batch: 7, Loss: 6.395260810852051
Batch: 8, Loss: 6.299698352813721
Batch: 9, Loss: 6.387941360473633
Batch: 10, Loss: 5.529575347900391
Batch: 11, Loss: 6.495319843292236
Batch: 12, Loss: 6.4825825691223145
Batch: 13, Loss: 6.913471698760986
Batch: 14, Loss: 6.426822662353516

Epoch 311 out of 2000Batch: 1, Loss: 5.703725814819336
Batch: 2, Loss: 5.926063537597656
Batch: 3, Loss: 6.067869186401367
Batch: 4, Loss: 5.460758209228516
Batch: 5, Loss: 6.280517101287842
Batch: 6, Loss: 6.19697904586792
Batch: 7, Loss: 6.051494598388672
Batch: 8, Loss: 5.936354637145996
Batch: 9, Loss: 6.426435947418213
Batch: 10, Loss: 5.769935607910156
Batch: 11, Loss: 6.058995723724365
Batch: 12, Loss: 6.208822727203369
Batch: 13, Loss: 5.847753047943115
Batch: 14, Loss: 6.091650009155273

Epoch 312 out of 2000Batch: 1, Loss: 5.889256954193115
Batch: 2, Loss: 5.539710998535156
Batch: 3, Loss: 5.495693683624268
Batch: 4, Loss: 5.804330348968506
Batch: 5, Loss: 6.115561485290527
Batch: 6, Loss: 5.494377613067627
Batch: 7, Loss: 5.360281944274902
Batch: 8, Loss: 5.423116207122803
Batch: 9, Loss: 5.489850044250488
Batch: 10, Loss: 5.781536102294922
Batch: 11, Loss: 5.246859550476074
Batch: 12, Loss: 5.2990336418151855
Batch: 13, Loss: 5.8760085105896
Batch: 14, Loss: 5.564387798309326

Epoch 313 out of 2000Batch: 1, Loss: 6.150753498077393
Batch: 2, Loss: 6.282268524169922
Batch: 3, Loss: 6.055084705352783
Batch: 4, Loss: 6.144632816314697
Batch: 5, Loss: 5.9195356369018555
Batch: 6, Loss: 5.769902229309082
Batch: 7, Loss: 6.42310094833374
Batch: 8, Loss: 5.958266735076904
Batch: 9, Loss: 6.139040946960449
Batch: 10, Loss: 6.100986957550049
Batch: 11, Loss: 6.110636234283447
Batch: 12, Loss: 5.979985237121582
Batch: 13, Loss: 6.121715068817139
Batch: 14, Loss: 6.020258903503418

Epoch 314 out of 2000Batch: 1, Loss: 6.711475372314453
Batch: 2, Loss: 6.646302700042725
Batch: 3, Loss: 6.49559211730957
Batch: 4, Loss: 6.6782917976379395
Batch: 5, Loss: 6.000283718109131
Batch: 6, Loss: 6.287346363067627
Batch: 7, Loss: 6.512598991394043
Batch: 8, Loss: 6.549639701843262
Batch: 9, Loss: 6.491602420806885
Batch: 10, Loss: 6.422674655914307
Batch: 11, Loss: 6.943256378173828
Batch: 12, Loss: 6.136789798736572
Batch: 13, Loss: 6.545154571533203
Batch: 14, Loss: 5.499196529388428

Epoch 315 out of 2000Batch: 1, Loss: 6.705806732177734
Batch: 2, Loss: 6.55305814743042
Batch: 3, Loss: 6.174493312835693
Batch: 4, Loss: 6.7046027183532715
Batch: 5, Loss: 6.432197570800781
Batch: 6, Loss: 6.041223526000977
Batch: 7, Loss: 6.3117523193359375
Batch: 8, Loss: 6.256290912628174
Batch: 9, Loss: 6.39101505279541
Batch: 10, Loss: 6.328886032104492
Batch: 11, Loss: 6.300987243652344
Batch: 12, Loss: 6.042584419250488
Batch: 13, Loss: 6.1811747550964355
Batch: 14, Loss: 6.145491123199463

Epoch 316 out of 2000Batch: 1, Loss: 5.7093915939331055
Batch: 2, Loss: 5.5500311851501465
Batch: 3, Loss: 5.44628381729126
Batch: 4, Loss: 5.616332530975342
Batch: 5, Loss: 5.55133581161499
Batch: 6, Loss: 5.689772129058838
Batch: 7, Loss: 5.634958744049072
Batch: 8, Loss: 5.7442169189453125
Batch: 9, Loss: 5.4757490158081055
Batch: 10, Loss: 5.450266361236572
Batch: 11, Loss: 5.604557991027832
Batch: 12, Loss: 5.420993328094482
Batch: 13, Loss: 5.486753463745117
Batch: 14, Loss: 5.293397903442383

Epoch 317 out of 2000Batch: 1, Loss: 7.305018424987793
Batch: 2, Loss: 7.1685028076171875
Batch: 3, Loss: 6.135340690612793
Batch: 4, Loss: 6.558741092681885
Batch: 5, Loss: 6.887309551239014
Batch: 6, Loss: 6.7461090087890625
Batch: 7, Loss: 6.808682441711426
Batch: 8, Loss: 6.7715654373168945
Batch: 9, Loss: 6.15134859085083
Batch: 10, Loss: 6.7364020347595215
Batch: 11, Loss: 6.983580589294434
Batch: 12, Loss: 6.107118129730225
Batch: 13, Loss: 6.804718971252441
Batch: 14, Loss: 7.025850772857666

Epoch 318 out of 2000Batch: 1, Loss: 6.2886857986450195
Batch: 2, Loss: 6.326513290405273
Batch: 3, Loss: 5.984838008880615
Batch: 4, Loss: 6.36367130279541
Batch: 5, Loss: 6.317751884460449
Batch: 6, Loss: 6.622365474700928
Batch: 7, Loss: 6.107986927032471
Batch: 8, Loss: 6.618557453155518
Batch: 9, Loss: 6.437384605407715
Batch: 10, Loss: 6.557505130767822
Batch: 11, Loss: 6.546799659729004
Batch: 12, Loss: 6.191720962524414
Batch: 13, Loss: 5.805209159851074
Batch: 14, Loss: 6.381629467010498

Epoch 319 out of 2000Batch: 1, Loss: 6.263667583465576
Batch: 2, Loss: 6.31574010848999
Batch: 3, Loss: 6.874082088470459
Batch: 4, Loss: 6.7747650146484375
Batch: 5, Loss: 6.578672409057617
Batch: 6, Loss: 6.592770576477051
Batch: 7, Loss: 6.4234232902526855
Batch: 8, Loss: 6.211094856262207
Batch: 9, Loss: 7.003550052642822
Batch: 10, Loss: 6.747559070587158
Batch: 11, Loss: 6.51578950881958
Batch: 12, Loss: 6.836183547973633
Batch: 13, Loss: 7.064601898193359
Batch: 14, Loss: 6.666829586029053

Epoch 320 out of 2000Batch: 1, Loss: 5.5925750732421875
Batch: 2, Loss: 6.26977014541626
Batch: 3, Loss: 6.443506717681885
Batch: 4, Loss: 6.0422539710998535
Batch: 5, Loss: 6.274118423461914
Batch: 6, Loss: 5.891281604766846
Batch: 7, Loss: 6.377714157104492
Batch: 8, Loss: 6.301806926727295
Batch: 9, Loss: 5.638097763061523
Batch: 10, Loss: 6.2079691886901855
Batch: 11, Loss: 6.470078468322754
Batch: 12, Loss: 6.013927459716797
Batch: 13, Loss: 6.361349582672119
Batch: 14, Loss: 6.700196743011475

Epoch 321 out of 2000Batch: 1, Loss: 6.029979228973389
Batch: 2, Loss: 6.566165447235107
Batch: 3, Loss: 6.339066982269287
Batch: 4, Loss: 6.164759159088135
Batch: 5, Loss: 6.291184425354004
Batch: 6, Loss: 6.547463417053223
Batch: 7, Loss: 6.4899139404296875
Batch: 8, Loss: 6.1526618003845215
Batch: 9, Loss: 6.205510139465332
Batch: 10, Loss: 6.653224468231201
Batch: 11, Loss: 6.354197978973389
Batch: 12, Loss: 5.816131591796875
Batch: 13, Loss: 6.09040641784668
Batch: 14, Loss: 6.054767608642578

Epoch 322 out of 2000Batch: 1, Loss: 6.708576679229736
Batch: 2, Loss: 6.386180877685547
Batch: 3, Loss: 6.360568523406982
Batch: 4, Loss: 5.5429863929748535
Batch: 5, Loss: 6.583194732666016
Batch: 6, Loss: 6.620688438415527
Batch: 7, Loss: 6.483858108520508
Batch: 8, Loss: 6.535069465637207
Batch: 9, Loss: 6.298100471496582
Batch: 10, Loss: 6.25243616104126
Batch: 11, Loss: 6.35089111328125
Batch: 12, Loss: 5.957211494445801
Batch: 13, Loss: 5.929478168487549
Batch: 14, Loss: 5.861413955688477

Epoch 323 out of 2000Batch: 1, Loss: 5.663869857788086
Batch: 2, Loss: 5.618715763092041
Batch: 3, Loss: 5.448369979858398
Batch: 4, Loss: 5.117713928222656
Batch: 5, Loss: 5.327431678771973
Batch: 6, Loss: 5.206847190856934
Batch: 7, Loss: 5.651320934295654
Batch: 8, Loss: 5.192792892456055
Batch: 9, Loss: 5.478752136230469
Batch: 10, Loss: 5.307741165161133
Batch: 11, Loss: 5.289828777313232
Batch: 12, Loss: 5.208108901977539
Batch: 13, Loss: 5.208017826080322
Batch: 14, Loss: 5.7516584396362305

Epoch 324 out of 2000Batch: 1, Loss: 5.9164910316467285
Batch: 2, Loss: 6.372168064117432
Batch: 3, Loss: 6.185759544372559
Batch: 4, Loss: 6.375454425811768
Batch: 5, Loss: 6.5194573402404785
Batch: 6, Loss: 6.210464954376221
Batch: 7, Loss: 6.066876411437988
Batch: 8, Loss: 5.877261161804199
Batch: 9, Loss: 6.5405192375183105
Batch: 10, Loss: 6.2074127197265625
Batch: 11, Loss: 5.872572422027588
Batch: 12, Loss: 6.199154376983643
Batch: 13, Loss: 5.692934513092041
Batch: 14, Loss: 5.798005104064941

Epoch 325 out of 2000Batch: 1, Loss: 6.039220809936523
Batch: 2, Loss: 6.0939130783081055
Batch: 3, Loss: 5.6878838539123535
Batch: 4, Loss: 6.074489593505859
Batch: 5, Loss: 6.19674015045166
Batch: 6, Loss: 5.307867050170898
Batch: 7, Loss: 5.917886257171631
Batch: 8, Loss: 6.160899639129639
Batch: 9, Loss: 6.357354640960693
Batch: 10, Loss: 5.38353157043457
Batch: 11, Loss: 5.63536262512207
Batch: 12, Loss: 6.134259223937988
Batch: 13, Loss: 5.406884670257568
Batch: 14, Loss: 6.02736234664917

Epoch 326 out of 2000Batch: 1, Loss: 6.186789512634277
Batch: 2, Loss: 6.004574298858643
Batch: 3, Loss: 5.721924781799316
Batch: 4, Loss: 6.176770210266113
Batch: 5, Loss: 6.276348114013672
Batch: 6, Loss: 6.303464889526367
Batch: 7, Loss: 5.8238525390625
Batch: 8, Loss: 5.859518051147461
Batch: 9, Loss: 6.121625900268555
Batch: 10, Loss: 5.995501518249512
Batch: 11, Loss: 6.154571056365967
Batch: 12, Loss: 6.335698127746582
Batch: 13, Loss: 6.046151161193848
Batch: 14, Loss: 6.365718364715576

Epoch 327 out of 2000Batch: 1, Loss: 6.431728363037109
Batch: 2, Loss: 6.522127151489258
Batch: 3, Loss: 6.057903289794922
Batch: 4, Loss: 6.107036590576172
Batch: 5, Loss: 6.43550443649292
Batch: 6, Loss: 6.434873104095459
Batch: 7, Loss: 6.275861740112305
Batch: 8, Loss: 6.402683734893799
Batch: 9, Loss: 6.268144130706787
Batch: 10, Loss: 6.195817947387695
Batch: 11, Loss: 6.494564533233643
Batch: 12, Loss: 6.343515396118164
Batch: 13, Loss: 5.9232401847839355
Batch: 14, Loss: 6.362923622131348

Epoch 328 out of 2000Batch: 1, Loss: 5.197908878326416
Batch: 2, Loss: 5.167104721069336
Batch: 3, Loss: 5.353849411010742
Batch: 4, Loss: 5.206759452819824
Batch: 5, Loss: 4.836815357208252
Batch: 6, Loss: 4.9032206535339355
Batch: 7, Loss: 4.845696926116943
Batch: 8, Loss: 4.793739318847656
Batch: 9, Loss: 5.427350044250488
Batch: 10, Loss: 4.867776870727539
Batch: 11, Loss: 4.94049596786499
Batch: 12, Loss: 5.176990509033203
Batch: 13, Loss: 5.089614391326904
Batch: 14, Loss: 4.700490951538086

Epoch 329 out of 2000Batch: 1, Loss: 7.4288411140441895
Batch: 2, Loss: 6.6539177894592285
Batch: 3, Loss: 6.5209550857543945
Batch: 4, Loss: 7.118923664093018
Batch: 5, Loss: 6.599060535430908
Batch: 6, Loss: 7.009734153747559
Batch: 7, Loss: 6.6935319900512695
Batch: 8, Loss: 6.997279644012451
Batch: 9, Loss: 6.965061664581299
Batch: 10, Loss: 6.958557605743408
Batch: 11, Loss: 6.4063239097595215
Batch: 12, Loss: 6.445158004760742
Batch: 13, Loss: 6.672046184539795
Batch: 14, Loss: 6.9116435050964355

Epoch 330 out of 2000Batch: 1, Loss: 6.739313125610352
Batch: 2, Loss: 6.476444721221924
Batch: 3, Loss: 6.683168411254883
Batch: 4, Loss: 6.645426273345947
Batch: 5, Loss: 6.566294193267822
Batch: 6, Loss: 6.686430931091309
Batch: 7, Loss: 6.878248691558838
Batch: 8, Loss: 6.602198600769043
Batch: 9, Loss: 6.696052551269531
Batch: 10, Loss: 6.6935882568359375
Batch: 11, Loss: 7.103598117828369
Batch: 12, Loss: 6.275824069976807
Batch: 13, Loss: 6.504308700561523
Batch: 14, Loss: 6.3582234382629395

Epoch 331 out of 2000Batch: 1, Loss: 5.627969264984131
Batch: 2, Loss: 6.219604015350342
Batch: 3, Loss: 5.758690357208252
Batch: 4, Loss: 5.793889999389648
Batch: 5, Loss: 6.057644844055176
Batch: 6, Loss: 5.385622024536133
Batch: 7, Loss: 5.718618392944336
Batch: 8, Loss: 5.671758651733398
Batch: 9, Loss: 5.896429538726807
Batch: 10, Loss: 5.874707221984863
Batch: 11, Loss: 5.618831157684326
Batch: 12, Loss: 5.620850563049316
Batch: 13, Loss: 5.822213172912598
Batch: 14, Loss: 5.434922218322754

Epoch 332 out of 2000Batch: 1, Loss: 6.494250297546387
Batch: 2, Loss: 6.209038257598877
Batch: 3, Loss: 6.500846862792969
Batch: 4, Loss: 6.410995960235596
Batch: 5, Loss: 6.361018180847168
Batch: 6, Loss: 6.705721855163574
Batch: 7, Loss: 6.106969833374023
Batch: 8, Loss: 6.235602855682373
Batch: 9, Loss: 6.453627109527588
Batch: 10, Loss: 6.395930767059326
Batch: 11, Loss: 5.897417068481445
Batch: 12, Loss: 6.402778148651123
Batch: 13, Loss: 6.372086048126221
Batch: 14, Loss: 6.672513484954834

Epoch 333 out of 2000Batch: 1, Loss: 6.726545333862305
Batch: 2, Loss: 6.721309661865234
Batch: 3, Loss: 6.949435710906982
Batch: 4, Loss: 6.3685622215271
Batch: 5, Loss: 6.90615177154541
Batch: 6, Loss: 6.607924938201904
Batch: 7, Loss: 6.374217510223389
Batch: 8, Loss: 7.037557601928711
Batch: 9, Loss: 6.696904182434082
Batch: 10, Loss: 6.085939884185791
Batch: 11, Loss: 6.723311901092529
Batch: 12, Loss: 6.537844181060791
Batch: 13, Loss: 6.997764587402344
Batch: 14, Loss: 6.943761348724365

Epoch 334 out of 2000Batch: 1, Loss: 6.0827250480651855
Batch: 2, Loss: 5.687636852264404
Batch: 3, Loss: 5.413256645202637
Batch: 4, Loss: 5.886919975280762
Batch: 5, Loss: 5.699416160583496
Batch: 6, Loss: 5.3841142654418945
Batch: 7, Loss: 5.477019309997559
Batch: 8, Loss: 5.610280990600586
Batch: 9, Loss: 5.4757161140441895
Batch: 10, Loss: 5.451636791229248
Batch: 11, Loss: 5.4707465171813965
Batch: 12, Loss: 5.760720252990723
Batch: 13, Loss: 5.851314544677734
Batch: 14, Loss: 5.259269714355469

Epoch 335 out of 2000Batch: 1, Loss: 6.760015964508057
Batch: 2, Loss: 6.612199783325195
Batch: 3, Loss: 6.699959754943848
Batch: 4, Loss: 6.3523640632629395
Batch: 5, Loss: 6.351000785827637
Batch: 6, Loss: 6.850158214569092
Batch: 7, Loss: 6.510560035705566
Batch: 8, Loss: 6.8376030921936035
Batch: 9, Loss: 6.949698448181152
Batch: 10, Loss: 6.697552680969238
Batch: 11, Loss: 6.858448028564453
Batch: 12, Loss: 6.48222017288208
Batch: 13, Loss: 6.818733215332031
Batch: 14, Loss: 6.518022060394287

Epoch 336 out of 2000Batch: 1, Loss: 6.280375957489014
Batch: 2, Loss: 6.748008728027344
Batch: 3, Loss: 6.477904319763184
Batch: 4, Loss: 6.52866792678833
Batch: 5, Loss: 6.401495933532715
Batch: 6, Loss: 7.197501182556152
Batch: 7, Loss: 6.7679057121276855
Batch: 8, Loss: 6.834031581878662
Batch: 9, Loss: 6.606249809265137
Batch: 10, Loss: 6.4928083419799805
Batch: 11, Loss: 6.775800704956055
Batch: 12, Loss: 6.594450950622559
Batch: 13, Loss: 6.503877639770508
Batch: 14, Loss: 6.415940761566162

Epoch 337 out of 2000Batch: 1, Loss: 5.935404300689697
Batch: 2, Loss: 6.128687858581543
Batch: 3, Loss: 6.41677188873291
Batch: 4, Loss: 6.316113471984863
Batch: 5, Loss: 6.541670799255371
Batch: 6, Loss: 6.165236473083496
Batch: 7, Loss: 5.62782096862793
Batch: 8, Loss: 6.290168285369873
Batch: 9, Loss: 6.1144208908081055
Batch: 10, Loss: 6.342124938964844
Batch: 11, Loss: 6.186304092407227
Batch: 12, Loss: 6.284833908081055
Batch: 13, Loss: 6.011431694030762
Batch: 14, Loss: 6.076114654541016

Epoch 338 out of 2000Batch: 1, Loss: 6.432985782623291
Batch: 2, Loss: 6.346346855163574
Batch: 3, Loss: 6.552967548370361
Batch: 4, Loss: 6.36090612411499
Batch: 5, Loss: 6.0731401443481445
Batch: 6, Loss: 6.405142784118652
Batch: 7, Loss: 5.708732604980469
Batch: 8, Loss: 6.313382148742676
Batch: 9, Loss: 6.485539436340332
Batch: 10, Loss: 6.280684471130371
Batch: 11, Loss: 6.268552303314209
Batch: 12, Loss: 5.8188581466674805
Batch: 13, Loss: 5.80087947845459
Batch: 14, Loss: 6.327152252197266

Epoch 339 out of 2000Batch: 1, Loss: 6.574345111846924
Batch: 2, Loss: 6.575441360473633
Batch: 3, Loss: 6.436657905578613
Batch: 4, Loss: 6.648036003112793
Batch: 5, Loss: 6.8599958419799805
Batch: 6, Loss: 6.905856132507324
Batch: 7, Loss: 6.903613090515137
Batch: 8, Loss: 6.20923376083374
Batch: 9, Loss: 6.5800909996032715
Batch: 10, Loss: 6.444789886474609
Batch: 11, Loss: 7.083654403686523
Batch: 12, Loss: 6.609172821044922
Batch: 13, Loss: 6.038199424743652
Batch: 14, Loss: 6.389151096343994

Epoch 340 out of 2000Batch: 1, Loss: 5.297006607055664
Batch: 2, Loss: 5.833926200866699
Batch: 3, Loss: 5.890314102172852
Batch: 4, Loss: 5.892144203186035
Batch: 5, Loss: 5.660473346710205
Batch: 6, Loss: 6.260526180267334
Batch: 7, Loss: 5.9756035804748535
Batch: 8, Loss: 6.011547088623047
Batch: 9, Loss: 5.835529804229736
Batch: 10, Loss: 5.9606404304504395
Batch: 11, Loss: 5.738960266113281
Batch: 12, Loss: 5.861140727996826
Batch: 13, Loss: 5.59489107131958
Batch: 14, Loss: 5.482536792755127

Epoch 341 out of 2000Batch: 1, Loss: 6.222459316253662
Batch: 2, Loss: 5.96913480758667
Batch: 3, Loss: 6.35908842086792
Batch: 4, Loss: 6.240921974182129
Batch: 5, Loss: 6.502557277679443
Batch: 6, Loss: 6.414877414703369
Batch: 7, Loss: 6.3554253578186035
Batch: 8, Loss: 6.0952067375183105
Batch: 9, Loss: 6.024984359741211
Batch: 10, Loss: 6.586917877197266
Batch: 11, Loss: 6.234005451202393
Batch: 12, Loss: 5.7055583000183105
Batch: 13, Loss: 5.991988658905029
Batch: 14, Loss: 6.2141804695129395

Epoch 342 out of 2000Batch: 1, Loss: 5.617589473724365
Batch: 2, Loss: 5.229139804840088
Batch: 3, Loss: 5.50720739364624
Batch: 4, Loss: 5.783874988555908
Batch: 5, Loss: 5.373406410217285
Batch: 6, Loss: 5.380640029907227
Batch: 7, Loss: 5.221482753753662
Batch: 8, Loss: 5.304685115814209
Batch: 9, Loss: 5.15878438949585
Batch: 10, Loss: 5.478964328765869
Batch: 11, Loss: 5.420140266418457
Batch: 12, Loss: 5.4254655838012695
Batch: 13, Loss: 5.223530292510986
Batch: 14, Loss: 5.610253810882568

Epoch 343 out of 2000Batch: 1, Loss: 5.963152885437012
Batch: 2, Loss: 5.893171787261963
Batch: 3, Loss: 5.589770793914795
Batch: 4, Loss: 5.725634574890137
Batch: 5, Loss: 6.318963050842285
Batch: 6, Loss: 5.932923316955566
Batch: 7, Loss: 5.7202630043029785
Batch: 8, Loss: 5.7774338722229
Batch: 9, Loss: 5.552126407623291
Batch: 10, Loss: 5.787103652954102
Batch: 11, Loss: 6.018527984619141
Batch: 12, Loss: 5.603107929229736
Batch: 13, Loss: 5.859500408172607
Batch: 14, Loss: 5.709650993347168

Epoch 344 out of 2000Batch: 1, Loss: 5.650599002838135
Batch: 2, Loss: 5.960475921630859
Batch: 3, Loss: 5.706136703491211
Batch: 4, Loss: 5.743178367614746
Batch: 5, Loss: 6.012260913848877
Batch: 6, Loss: 5.6087541580200195
Batch: 7, Loss: 5.657446384429932
Batch: 8, Loss: 5.47823429107666
Batch: 9, Loss: 5.338814735412598
Batch: 10, Loss: 5.849030017852783
Batch: 11, Loss: 5.767702102661133
Batch: 12, Loss: 5.6043877601623535
Batch: 13, Loss: 5.379684925079346
Batch: 14, Loss: 5.754828453063965

Epoch 345 out of 2000Batch: 1, Loss: 6.090255260467529
Batch: 2, Loss: 5.7961297035217285
Batch: 3, Loss: 5.601652145385742
Batch: 4, Loss: 5.556178569793701
Batch: 5, Loss: 5.6868767738342285
Batch: 6, Loss: 5.6972737312316895
Batch: 7, Loss: 6.2676005363464355
Batch: 8, Loss: 5.74839448928833
Batch: 9, Loss: 5.841005802154541
Batch: 10, Loss: 5.939281463623047
Batch: 11, Loss: 5.689401149749756
Batch: 12, Loss: 5.7778544425964355
Batch: 13, Loss: 6.092799186706543
Batch: 14, Loss: 5.219141483306885

Epoch 346 out of 2000Batch: 1, Loss: 6.874607086181641
Batch: 2, Loss: 6.016966819763184
Batch: 3, Loss: 6.52748441696167
Batch: 4, Loss: 6.1900177001953125
Batch: 5, Loss: 6.094058990478516
Batch: 6, Loss: 6.210947036743164
Batch: 7, Loss: 6.39504337310791
Batch: 8, Loss: 6.228166580200195
Batch: 9, Loss: 6.625872611999512
Batch: 10, Loss: 6.274255275726318
Batch: 11, Loss: 6.490829944610596
Batch: 12, Loss: 6.077386379241943
Batch: 13, Loss: 5.991680145263672
Batch: 14, Loss: 6.050355911254883

Epoch 347 out of 2000Batch: 1, Loss: 6.38450288772583
Batch: 2, Loss: 6.474332809448242
Batch: 3, Loss: 6.34566593170166
Batch: 4, Loss: 6.604680061340332
Batch: 5, Loss: 5.671203136444092
Batch: 6, Loss: 6.438239574432373
Batch: 7, Loss: 6.243821144104004
Batch: 8, Loss: 6.7239460945129395
Batch: 9, Loss: 6.572359561920166
Batch: 10, Loss: 6.410966396331787
Batch: 11, Loss: 6.60041618347168
Batch: 12, Loss: 6.493517875671387
Batch: 13, Loss: 6.415318012237549
Batch: 14, Loss: 6.7653703689575195

Epoch 348 out of 2000Batch: 1, Loss: 6.44770622253418
Batch: 2, Loss: 6.749250888824463
Batch: 3, Loss: 6.620239734649658
Batch: 4, Loss: 6.170751094818115
Batch: 5, Loss: 6.935091018676758
Batch: 6, Loss: 6.656447887420654
Batch: 7, Loss: 6.768619060516357
Batch: 8, Loss: 6.903343200683594
Batch: 9, Loss: 7.219939708709717
Batch: 10, Loss: 6.384044647216797
Batch: 11, Loss: 6.33921480178833
Batch: 12, Loss: 6.685662746429443
Batch: 13, Loss: 7.237940788269043
Batch: 14, Loss: 5.978758811950684

Epoch 349 out of 2000Batch: 1, Loss: 5.735849380493164
Batch: 2, Loss: 5.811624526977539
Batch: 3, Loss: 5.731481075286865
Batch: 4, Loss: 6.091628551483154
Batch: 5, Loss: 5.6748552322387695
Batch: 6, Loss: 5.888485431671143
Batch: 7, Loss: 5.662541389465332
Batch: 8, Loss: 6.2312541007995605
Batch: 9, Loss: 5.723482131958008
Batch: 10, Loss: 6.061095237731934
Batch: 11, Loss: 5.672501564025879
Batch: 12, Loss: 5.975246906280518
Batch: 13, Loss: 5.743332862854004
Batch: 14, Loss: 6.172327041625977

Epoch 350 out of 2000Batch: 1, Loss: 5.150440692901611
Batch: 2, Loss: 4.997796535491943
Batch: 3, Loss: 4.731378555297852
Batch: 4, Loss: 5.004384517669678
Batch: 5, Loss: 4.93260383605957
Batch: 6, Loss: 5.176945209503174
Batch: 7, Loss: 4.789161205291748
Batch: 8, Loss: 4.766397953033447
Batch: 9, Loss: 4.676996231079102
Batch: 10, Loss: 5.038414478302002
Batch: 11, Loss: 4.9330925941467285
Batch: 12, Loss: 4.820119857788086
Batch: 13, Loss: 4.800118446350098
Batch: 14, Loss: 5.1650848388671875

Epoch 351 out of 2000Batch: 1, Loss: 7.198119640350342
Batch: 2, Loss: 7.0767951011657715
Batch: 3, Loss: 6.8174638748168945
Batch: 4, Loss: 7.156035900115967
Batch: 5, Loss: 6.40503454208374
Batch: 6, Loss: 5.97006893157959
Batch: 7, Loss: 6.658700942993164
Batch: 8, Loss: 6.726673603057861
Batch: 9, Loss: 6.144235134124756
Batch: 10, Loss: 5.87879753112793
Batch: 11, Loss: 6.580159664154053
Batch: 12, Loss: 6.717587471008301
Batch: 13, Loss: 6.69920539855957
Batch: 14, Loss: 5.686687469482422

Epoch 352 out of 2000Batch: 1, Loss: 6.444606304168701
Batch: 2, Loss: 6.006614685058594
Batch: 3, Loss: 6.146711349487305
Batch: 4, Loss: 6.199151515960693
Batch: 5, Loss: 5.729376792907715
Batch: 6, Loss: 5.8418498039245605
Batch: 7, Loss: 5.509383201599121
Batch: 8, Loss: 6.092158794403076
Batch: 9, Loss: 5.915632247924805
Batch: 10, Loss: 6.051309108734131
Batch: 11, Loss: 5.866604328155518
Batch: 12, Loss: 5.90726375579834
Batch: 13, Loss: 5.746278285980225
Batch: 14, Loss: 6.239148139953613

Epoch 353 out of 2000Batch: 1, Loss: 6.345001697540283
Batch: 2, Loss: 6.630740165710449
Batch: 3, Loss: 6.642308712005615
Batch: 4, Loss: 6.944438457489014
Batch: 5, Loss: 6.630307197570801
Batch: 6, Loss: 6.849754810333252
Batch: 7, Loss: 6.887505054473877
Batch: 8, Loss: 6.789712429046631
Batch: 9, Loss: 6.65006160736084
Batch: 10, Loss: 7.180416107177734
Batch: 11, Loss: 6.81704568862915
Batch: 12, Loss: 6.49265718460083
Batch: 13, Loss: 6.189451694488525
Batch: 14, Loss: 6.0807623863220215

Epoch 354 out of 2000Batch: 1, Loss: 5.946093559265137
Batch: 2, Loss: 5.89451789855957
Batch: 3, Loss: 6.271695137023926
Batch: 4, Loss: 5.974816799163818
Batch: 5, Loss: 5.962614059448242
Batch: 6, Loss: 6.316512584686279
Batch: 7, Loss: 5.632898330688477
Batch: 8, Loss: 5.893253326416016
Batch: 9, Loss: 5.981459617614746
Batch: 10, Loss: 6.2064900398254395
Batch: 11, Loss: 5.6462907791137695
Batch: 12, Loss: 6.212687015533447
Batch: 13, Loss: 6.171357154846191
Batch: 14, Loss: 5.96552848815918

Epoch 355 out of 2000Batch: 1, Loss: 6.16054630279541
Batch: 2, Loss: 6.080286026000977
Batch: 3, Loss: 5.954060077667236
Batch: 4, Loss: 6.154393672943115
Batch: 5, Loss: 6.470441818237305
Batch: 6, Loss: 5.588251113891602
Batch: 7, Loss: 5.794257164001465
Batch: 8, Loss: 6.024212837219238
Batch: 9, Loss: 5.853270053863525
Batch: 10, Loss: 5.922208309173584
Batch: 11, Loss: 6.114433288574219
Batch: 12, Loss: 6.017168045043945
Batch: 13, Loss: 6.302726745605469
Batch: 14, Loss: 6.008579730987549

Epoch 356 out of 2000Batch: 1, Loss: 6.516010761260986
Batch: 2, Loss: 6.604223251342773
Batch: 3, Loss: 6.589120388031006
Batch: 4, Loss: 6.1360368728637695
Batch: 5, Loss: 6.881610870361328
Batch: 6, Loss: 6.156256675720215
Batch: 7, Loss: 6.092411041259766
Batch: 8, Loss: 6.196382999420166
Batch: 9, Loss: 6.073904991149902
Batch: 10, Loss: 6.2761311531066895
Batch: 11, Loss: 6.643221855163574
Batch: 12, Loss: 6.028181552886963
Batch: 13, Loss: 6.689627647399902
Batch: 14, Loss: 6.472142696380615

Epoch 357 out of 2000Batch: 1, Loss: 6.327693462371826
Batch: 2, Loss: 5.443043231964111
Batch: 3, Loss: 6.285677433013916
Batch: 4, Loss: 5.76833438873291
Batch: 5, Loss: 6.039933204650879
Batch: 6, Loss: 6.321812152862549
Batch: 7, Loss: 6.1696577072143555
Batch: 8, Loss: 5.4485321044921875
Batch: 9, Loss: 6.1725172996521
Batch: 10, Loss: 6.349965572357178
Batch: 11, Loss: 6.023725986480713
Batch: 12, Loss: 6.226123809814453
Batch: 13, Loss: 5.9814043045043945
Batch: 14, Loss: 6.107052326202393

Epoch 358 out of 2000Batch: 1, Loss: 6.536620616912842
Batch: 2, Loss: 6.228459358215332
Batch: 3, Loss: 6.313155174255371
Batch: 4, Loss: 6.639215469360352
Batch: 5, Loss: 6.726802349090576
Batch: 6, Loss: 6.445855617523193
Batch: 7, Loss: 5.776553153991699
Batch: 8, Loss: 6.4598870277404785
Batch: 9, Loss: 6.402002811431885
Batch: 10, Loss: 6.0030436515808105
Batch: 11, Loss: 6.2031378746032715
Batch: 12, Loss: 6.6204986572265625
Batch: 13, Loss: 6.143161773681641
Batch: 14, Loss: 6.276064872741699

Epoch 359 out of 2000Batch: 1, Loss: 6.524937629699707
Batch: 2, Loss: 6.781648635864258
Batch: 3, Loss: 6.652894020080566
Batch: 4, Loss: 6.856262683868408
Batch: 5, Loss: 6.329426288604736
Batch: 6, Loss: 6.5379638671875
Batch: 7, Loss: 6.666064262390137
Batch: 8, Loss: 6.254067897796631
Batch: 9, Loss: 6.7328386306762695
Batch: 10, Loss: 6.6293768882751465
Batch: 11, Loss: 6.75766658782959
Batch: 12, Loss: 6.465713024139404
Batch: 13, Loss: 6.6231231689453125
Batch: 14, Loss: 6.490236282348633

Epoch 360 out of 2000Batch: 1, Loss: 6.631313323974609
Batch: 2, Loss: 6.653326988220215
Batch: 3, Loss: 6.724651336669922
Batch: 4, Loss: 6.891989707946777
Batch: 5, Loss: 6.183863639831543
Batch: 6, Loss: 6.609677791595459
Batch: 7, Loss: 6.5865397453308105
Batch: 8, Loss: 6.235871315002441
Batch: 9, Loss: 6.505877494812012
Batch: 10, Loss: 6.292545795440674
Batch: 11, Loss: 6.772947311401367
Batch: 12, Loss: 6.846258163452148
Batch: 13, Loss: 6.331573963165283
Batch: 14, Loss: 6.330567359924316

Epoch 361 out of 2000Batch: 1, Loss: 5.98145055770874
Batch: 2, Loss: 5.925200939178467
Batch: 3, Loss: 5.8232221603393555
Batch: 4, Loss: 6.040894985198975
Batch: 5, Loss: 6.057953357696533
Batch: 6, Loss: 5.585362434387207
Batch: 7, Loss: 5.739964962005615
Batch: 8, Loss: 5.6411614418029785
Batch: 9, Loss: 5.61814022064209
Batch: 10, Loss: 5.502728462219238
Batch: 11, Loss: 5.489068031311035
Batch: 12, Loss: 5.544927597045898
Batch: 13, Loss: 5.641116142272949
Batch: 14, Loss: 5.925604820251465

Epoch 362 out of 2000Batch: 1, Loss: 5.643831253051758
Batch: 2, Loss: 5.624537467956543
Batch: 3, Loss: 5.425558567047119
Batch: 4, Loss: 5.128512859344482
Batch: 5, Loss: 5.432539939880371
Batch: 6, Loss: 5.360568523406982
Batch: 7, Loss: 5.444653034210205
Batch: 8, Loss: 5.180782794952393
Batch: 9, Loss: 4.928385257720947
Batch: 10, Loss: 4.9498090744018555
Batch: 11, Loss: 5.308138847351074
Batch: 12, Loss: 4.899143695831299
Batch: 13, Loss: 5.150619983673096
Batch: 14, Loss: 5.105683326721191

Epoch 363 out of 2000Batch: 1, Loss: 6.805678367614746
Batch: 2, Loss: 6.935429573059082
Batch: 3, Loss: 6.76688814163208
Batch: 4, Loss: 6.361880302429199
Batch: 5, Loss: 6.727267742156982
Batch: 6, Loss: 6.162083148956299
Batch: 7, Loss: 6.269354820251465
Batch: 8, Loss: 6.6537957191467285
Batch: 9, Loss: 6.1314802169799805
Batch: 10, Loss: 6.80509614944458
Batch: 11, Loss: 6.332800388336182
Batch: 12, Loss: 6.988009452819824
Batch: 13, Loss: 6.646286964416504
Batch: 14, Loss: 5.7930827140808105

Epoch 364 out of 2000Batch: 1, Loss: 5.981617450714111
Batch: 2, Loss: 6.096868991851807
Batch: 3, Loss: 6.069863796234131
Batch: 4, Loss: 6.166771411895752
Batch: 5, Loss: 6.320069313049316
Batch: 6, Loss: 5.991066932678223
Batch: 7, Loss: 6.4705610275268555
Batch: 8, Loss: 6.206230640411377
Batch: 9, Loss: 5.7464919090271
Batch: 10, Loss: 5.940930366516113
Batch: 11, Loss: 6.055116653442383
Batch: 12, Loss: 6.157870769500732
Batch: 13, Loss: 5.6971845626831055
Batch: 14, Loss: 6.320125579833984

Epoch 365 out of 2000Batch: 1, Loss: 6.494161128997803
Batch: 2, Loss: 6.3386969566345215
Batch: 3, Loss: 6.857861042022705
Batch: 4, Loss: 6.513491153717041
Batch: 5, Loss: 6.543665885925293
Batch: 6, Loss: 6.647463798522949
Batch: 7, Loss: 6.681543827056885
Batch: 8, Loss: 6.858546733856201
Batch: 9, Loss: 6.325323104858398
Batch: 10, Loss: 6.794211387634277
Batch: 11, Loss: 6.688962936401367
Batch: 12, Loss: 6.227295398712158
Batch: 13, Loss: 6.46297025680542
Batch: 14, Loss: 6.395833492279053

Epoch 366 out of 2000Batch: 1, Loss: 5.880444526672363
Batch: 2, Loss: 5.446972370147705
Batch: 3, Loss: 5.608509540557861
Batch: 4, Loss: 5.525327205657959
Batch: 5, Loss: 5.3292765617370605
Batch: 6, Loss: 5.386784553527832
Batch: 7, Loss: 5.368758678436279
Batch: 8, Loss: 5.098275661468506
Batch: 9, Loss: 5.564182281494141
Batch: 10, Loss: 4.782585144042969
Batch: 11, Loss: 5.321577072143555
Batch: 12, Loss: 5.2058281898498535
Batch: 13, Loss: 5.318903923034668
Batch: 14, Loss: 5.784733295440674

Epoch 367 out of 2000Batch: 1, Loss: 6.130211353302002
Batch: 2, Loss: 5.8559794425964355
Batch: 3, Loss: 6.325527667999268
Batch: 4, Loss: 5.94511079788208
Batch: 5, Loss: 5.688758373260498
Batch: 6, Loss: 5.93757963180542
Batch: 7, Loss: 5.64598274230957
Batch: 8, Loss: 5.848673343658447
Batch: 9, Loss: 5.681100845336914
Batch: 10, Loss: 5.604888916015625
Batch: 11, Loss: 5.245172500610352
Batch: 12, Loss: 5.9237518310546875
Batch: 13, Loss: 5.752061367034912
Batch: 14, Loss: 5.543557167053223

Epoch 368 out of 2000Batch: 1, Loss: 6.153076171875
Batch: 2, Loss: 6.048973560333252
Batch: 3, Loss: 5.930589199066162
Batch: 4, Loss: 6.989421844482422
Batch: 5, Loss: 6.0881547927856445
Batch: 6, Loss: 6.8281707763671875
Batch: 7, Loss: 6.698780536651611
Batch: 8, Loss: 6.6307806968688965
Batch: 9, Loss: 6.895986557006836
Batch: 10, Loss: 6.575984954833984
Batch: 11, Loss: 6.201870441436768
Batch: 12, Loss: 6.474050045013428
Batch: 13, Loss: 6.045734405517578
Batch: 14, Loss: 6.203052520751953

Epoch 369 out of 2000Batch: 1, Loss: 6.515692710876465
Batch: 2, Loss: 6.451424598693848
Batch: 3, Loss: 6.354946613311768
Batch: 4, Loss: 6.396677017211914
Batch: 5, Loss: 6.126155376434326
Batch: 6, Loss: 6.485806941986084
Batch: 7, Loss: 6.096761226654053
Batch: 8, Loss: 6.855288982391357
Batch: 9, Loss: 6.434650421142578
Batch: 10, Loss: 6.584043502807617
Batch: 11, Loss: 6.4889020919799805
Batch: 12, Loss: 6.371384143829346
Batch: 13, Loss: 6.330338001251221
Batch: 14, Loss: 5.7527971267700195

Epoch 370 out of 2000Batch: 1, Loss: 6.205161094665527
Batch: 2, Loss: 6.137970924377441
Batch: 3, Loss: 5.875482082366943
Batch: 4, Loss: 5.963395595550537
Batch: 5, Loss: 5.975904941558838
Batch: 6, Loss: 5.798019886016846
Batch: 7, Loss: 6.008551120758057
Batch: 8, Loss: 5.921425819396973
Batch: 9, Loss: 5.896450996398926
Batch: 10, Loss: 5.907760143280029
Batch: 11, Loss: 6.392463207244873
Batch: 12, Loss: 5.3577752113342285
Batch: 13, Loss: 5.9960737228393555
Batch: 14, Loss: 5.974799156188965

Epoch 371 out of 2000Batch: 1, Loss: 6.509716987609863
Batch: 2, Loss: 6.213768005371094
Batch: 3, Loss: 6.115472316741943
Batch: 4, Loss: 6.217416763305664
Batch: 5, Loss: 5.648679256439209
Batch: 6, Loss: 6.174407958984375
Batch: 7, Loss: 6.047095775604248
Batch: 8, Loss: 6.01244592666626
Batch: 9, Loss: 5.944085121154785
Batch: 10, Loss: 6.236281871795654
Batch: 11, Loss: 6.043542385101318
Batch: 12, Loss: 6.063820838928223
Batch: 13, Loss: 5.67765998840332
Batch: 14, Loss: 5.8850932121276855

Epoch 372 out of 2000Batch: 1, Loss: 5.855003833770752
Batch: 2, Loss: 5.790099143981934
Batch: 3, Loss: 5.936700344085693
Batch: 4, Loss: 5.78749942779541
Batch: 5, Loss: 5.784327507019043
Batch: 6, Loss: 5.6488800048828125
Batch: 7, Loss: 6.052211284637451
Batch: 8, Loss: 5.826099872589111
Batch: 9, Loss: 5.523526191711426
Batch: 10, Loss: 5.551014423370361
Batch: 11, Loss: 5.664540767669678
Batch: 12, Loss: 5.926815986633301
Batch: 13, Loss: 5.557257175445557
Batch: 14, Loss: 5.686192035675049

Epoch 373 out of 2000Batch: 1, Loss: 6.347379207611084
Batch: 2, Loss: 6.355785846710205
Batch: 3, Loss: 5.988392353057861
Batch: 4, Loss: 5.799499034881592
Batch: 5, Loss: 6.450477600097656
Batch: 6, Loss: 6.368423938751221
Batch: 7, Loss: 5.865029811859131
Batch: 8, Loss: 6.383603572845459
Batch: 9, Loss: 6.303951740264893
Batch: 10, Loss: 6.365275859832764
Batch: 11, Loss: 6.3494462966918945
Batch: 12, Loss: 6.269923210144043
Batch: 13, Loss: 6.1198320388793945
Batch: 14, Loss: 6.291862964630127

Epoch 374 out of 2000Batch: 1, Loss: 5.3794636726379395
Batch: 2, Loss: 4.890886306762695
Batch: 3, Loss: 4.979213237762451
Batch: 4, Loss: 5.247763633728027
Batch: 5, Loss: 5.059703826904297
Batch: 6, Loss: 5.214878559112549
Batch: 7, Loss: 5.021245956420898
Batch: 8, Loss: 5.213493347167969
Batch: 9, Loss: 5.218629360198975
Batch: 10, Loss: 4.995924949645996
Batch: 11, Loss: 5.021583557128906
Batch: 12, Loss: 5.665287494659424
Batch: 13, Loss: 5.331573486328125
Batch: 14, Loss: 4.3831987380981445

Epoch 375 out of 2000Batch: 1, Loss: 6.482240200042725
Batch: 2, Loss: 6.111281394958496
Batch: 3, Loss: 6.256516933441162
Batch: 4, Loss: 5.810702323913574
Batch: 5, Loss: 5.897536754608154
Batch: 6, Loss: 5.377077102661133
Batch: 7, Loss: 6.005084991455078
Batch: 8, Loss: 5.929379940032959
Batch: 9, Loss: 6.137935161590576
Batch: 10, Loss: 5.640568256378174
Batch: 11, Loss: 6.095970153808594
Batch: 12, Loss: 5.906737804412842
Batch: 13, Loss: 5.7500996589660645
Batch: 14, Loss: 5.575408458709717

Epoch 376 out of 2000Batch: 1, Loss: 6.218504905700684
Batch: 2, Loss: 6.486161708831787
Batch: 3, Loss: 6.650384426116943
Batch: 4, Loss: 6.89990234375
Batch: 5, Loss: 6.992520809173584
Batch: 6, Loss: 6.677267551422119
Batch: 7, Loss: 6.120384216308594
Batch: 8, Loss: 7.054924964904785
Batch: 9, Loss: 6.747814655303955
Batch: 10, Loss: 7.001119136810303
Batch: 11, Loss: 6.535439491271973
Batch: 12, Loss: 6.044466495513916
Batch: 13, Loss: 6.950287342071533
Batch: 14, Loss: 6.701324939727783

Epoch 377 out of 2000Batch: 1, Loss: 6.31716775894165
Batch: 2, Loss: 6.472169876098633
Batch: 3, Loss: 6.34471321105957
Batch: 4, Loss: 6.243752479553223
Batch: 5, Loss: 5.4858927726745605
Batch: 6, Loss: 6.239979267120361
Batch: 7, Loss: 6.064727306365967
Batch: 8, Loss: 6.002251148223877
Batch: 9, Loss: 5.815500259399414
Batch: 10, Loss: 5.9206647872924805
Batch: 11, Loss: 6.081471920013428
Batch: 12, Loss: 6.202067852020264
Batch: 13, Loss: 6.255443096160889
Batch: 14, Loss: 5.688343048095703

Epoch 378 out of 2000Batch: 1, Loss: 6.398818492889404
Batch: 2, Loss: 5.903321266174316
Batch: 3, Loss: 5.715184688568115
Batch: 4, Loss: 6.0184645652771
Batch: 5, Loss: 5.606414794921875
Batch: 6, Loss: 6.0196003913879395
Batch: 7, Loss: 6.197360992431641
Batch: 8, Loss: 5.6008830070495605
Batch: 9, Loss: 6.050947666168213
Batch: 10, Loss: 5.886275291442871
Batch: 11, Loss: 5.405318737030029
Batch: 12, Loss: 5.530023097991943
Batch: 13, Loss: 5.765864372253418
Batch: 14, Loss: 5.84724235534668

Epoch 379 out of 2000Batch: 1, Loss: 6.274972915649414
Batch: 2, Loss: 6.310207843780518
Batch: 3, Loss: 6.415919303894043
Batch: 4, Loss: 5.760132789611816
Batch: 5, Loss: 6.016785144805908
Batch: 6, Loss: 6.404492378234863
Batch: 7, Loss: 6.141775608062744
Batch: 8, Loss: 6.2720866203308105
Batch: 9, Loss: 6.251810073852539
Batch: 10, Loss: 6.25137996673584
Batch: 11, Loss: 5.69088888168335
Batch: 12, Loss: 6.254287242889404
Batch: 13, Loss: 6.089258670806885
Batch: 14, Loss: 5.670586585998535

Epoch 380 out of 2000Batch: 1, Loss: 5.7426910400390625
Batch: 2, Loss: 5.809789657592773
Batch: 3, Loss: 6.094541072845459
Batch: 4, Loss: 5.571282386779785
Batch: 5, Loss: 5.135228633880615
Batch: 6, Loss: 5.567970275878906
Batch: 7, Loss: 5.654243469238281
Batch: 8, Loss: 5.694523334503174
Batch: 9, Loss: 6.045581817626953
Batch: 10, Loss: 5.7588276863098145
Batch: 11, Loss: 5.199138164520264
Batch: 12, Loss: 5.52452278137207
Batch: 13, Loss: 5.196191787719727
Batch: 14, Loss: 5.6801438331604

Epoch 381 out of 2000Batch: 1, Loss: 6.001411437988281
Batch: 2, Loss: 6.171772480010986
Batch: 3, Loss: 6.196720600128174
Batch: 4, Loss: 5.763748645782471
Batch: 5, Loss: 5.716911315917969
Batch: 6, Loss: 5.4290056228637695
Batch: 7, Loss: 5.9556756019592285
Batch: 8, Loss: 5.913197994232178
Batch: 9, Loss: 5.8347578048706055
Batch: 10, Loss: 5.710011959075928
Batch: 11, Loss: 6.047421932220459
Batch: 12, Loss: 5.853592395782471
Batch: 13, Loss: 5.978087425231934
Batch: 14, Loss: 5.597417831420898

Epoch 382 out of 2000Batch: 1, Loss: 5.607420921325684
Batch: 2, Loss: 5.443829536437988
Batch: 3, Loss: 5.312639236450195
Batch: 4, Loss: 5.251862049102783
Batch: 5, Loss: 5.0301032066345215
Batch: 6, Loss: 5.288756370544434
Batch: 7, Loss: 4.706142425537109
Batch: 8, Loss: 5.02064323425293
Batch: 9, Loss: 5.233988285064697
Batch: 10, Loss: 5.227535724639893
Batch: 11, Loss: 5.011387825012207
Batch: 12, Loss: 5.1145172119140625
Batch: 13, Loss: 5.37360143661499
Batch: 14, Loss: 4.647057056427002

Epoch 383 out of 2000Batch: 1, Loss: 5.3272175788879395
Batch: 2, Loss: 5.445684432983398
Batch: 3, Loss: 5.329290390014648
Batch: 4, Loss: 5.3647966384887695
Batch: 5, Loss: 5.45089864730835
Batch: 6, Loss: 5.072135925292969
Batch: 7, Loss: 5.123306751251221
Batch: 8, Loss: 4.963949680328369
Batch: 9, Loss: 5.212382793426514
Batch: 10, Loss: 5.436679840087891
Batch: 11, Loss: 5.045575141906738
Batch: 12, Loss: 5.030584335327148
Batch: 13, Loss: 5.018691539764404
Batch: 14, Loss: 4.934768199920654

Epoch 384 out of 2000Batch: 1, Loss: 6.005147457122803
Batch: 2, Loss: 5.839998245239258
Batch: 3, Loss: 6.053471565246582
Batch: 4, Loss: 6.209299564361572
Batch: 5, Loss: 6.109132289886475
Batch: 6, Loss: 6.580857753753662
Batch: 7, Loss: 6.113067150115967
Batch: 8, Loss: 6.24648380279541
Batch: 9, Loss: 6.286529541015625
Batch: 10, Loss: 6.301077842712402
Batch: 11, Loss: 6.295340061187744
Batch: 12, Loss: 6.139802932739258
Batch: 13, Loss: 6.610970497131348
Batch: 14, Loss: 6.570394039154053

Epoch 385 out of 2000Batch: 1, Loss: 6.034839153289795
Batch: 2, Loss: 6.269992828369141
Batch: 3, Loss: 6.275599956512451
Batch: 4, Loss: 6.557225704193115
Batch: 5, Loss: 6.233687400817871
Batch: 6, Loss: 5.785642623901367
Batch: 7, Loss: 6.356611251831055
Batch: 8, Loss: 6.828490257263184
Batch: 9, Loss: 5.835686206817627
Batch: 10, Loss: 6.282815933227539
Batch: 11, Loss: 6.277524471282959
Batch: 12, Loss: 6.566399574279785
Batch: 13, Loss: 6.086892127990723
Batch: 14, Loss: 6.577406883239746

Epoch 386 out of 2000Batch: 1, Loss: 6.3402581214904785
Batch: 2, Loss: 5.710901260375977
Batch: 3, Loss: 5.940024375915527
Batch: 4, Loss: 5.999186992645264
Batch: 5, Loss: 6.460918426513672
Batch: 6, Loss: 5.879249095916748
Batch: 7, Loss: 6.526590824127197
Batch: 8, Loss: 6.150140285491943
Batch: 9, Loss: 6.008543014526367
Batch: 10, Loss: 5.7591233253479
Batch: 11, Loss: 6.3220953941345215
Batch: 12, Loss: 6.367061138153076
Batch: 13, Loss: 5.805170059204102
Batch: 14, Loss: 5.846106052398682

Epoch 387 out of 2000Batch: 1, Loss: 6.480947494506836
Batch: 2, Loss: 5.976737976074219
Batch: 3, Loss: 6.065622806549072
Batch: 4, Loss: 6.123809337615967
Batch: 5, Loss: 6.626638889312744
Batch: 6, Loss: 6.492578506469727
Batch: 7, Loss: 6.298275470733643
Batch: 8, Loss: 6.381594657897949
Batch: 9, Loss: 6.458001136779785
Batch: 10, Loss: 6.086369514465332
Batch: 11, Loss: 5.993366718292236
Batch: 12, Loss: 6.2597527503967285
Batch: 13, Loss: 6.249912261962891
Batch: 14, Loss: 6.010354042053223

Epoch 388 out of 2000Batch: 1, Loss: 5.556275367736816
Batch: 2, Loss: 5.638716220855713
Batch: 3, Loss: 5.073390483856201
Batch: 4, Loss: 5.442745208740234
Batch: 5, Loss: 5.332669258117676
Batch: 6, Loss: 5.674558162689209
Batch: 7, Loss: 5.671652793884277
Batch: 8, Loss: 5.156463146209717
Batch: 9, Loss: 5.294151306152344
Batch: 10, Loss: 5.38649320602417
Batch: 11, Loss: 5.22797966003418
Batch: 12, Loss: 5.466597080230713
Batch: 13, Loss: 5.522812366485596
Batch: 14, Loss: 5.584874629974365

Epoch 389 out of 2000Batch: 1, Loss: 6.109132289886475
Batch: 2, Loss: 6.1715240478515625
Batch: 3, Loss: 6.314339637756348
Batch: 4, Loss: 6.281516075134277
Batch: 5, Loss: 5.670844554901123
Batch: 6, Loss: 6.222814559936523
Batch: 7, Loss: 6.075263977050781
Batch: 8, Loss: 5.630577087402344
Batch: 9, Loss: 6.172518253326416
Batch: 10, Loss: 6.076906681060791
Batch: 11, Loss: 6.084213733673096
Batch: 12, Loss: 6.161345958709717
Batch: 13, Loss: 6.181399345397949
Batch: 14, Loss: 6.339910984039307

Epoch 390 out of 2000Batch: 1, Loss: 5.920164108276367
Batch: 2, Loss: 5.940264701843262
Batch: 3, Loss: 6.475822925567627
Batch: 4, Loss: 6.264737129211426
Batch: 5, Loss: 6.234935760498047
Batch: 6, Loss: 5.928430557250977
Batch: 7, Loss: 6.390368938446045
Batch: 8, Loss: 6.366471767425537
Batch: 9, Loss: 5.947599411010742
Batch: 10, Loss: 6.223481178283691
Batch: 11, Loss: 6.312451362609863
Batch: 12, Loss: 5.856937885284424
Batch: 13, Loss: 6.5231804847717285
Batch: 14, Loss: 6.073554515838623

Epoch 391 out of 2000Batch: 1, Loss: 5.673097133636475
Batch: 2, Loss: 5.303952217102051
Batch: 3, Loss: 5.3354973793029785
Batch: 4, Loss: 5.652635097503662
Batch: 5, Loss: 5.331264019012451
Batch: 6, Loss: 5.525074005126953
Batch: 7, Loss: 5.236052513122559
Batch: 8, Loss: 5.603549480438232
Batch: 9, Loss: 5.204700946807861
Batch: 10, Loss: 5.626145839691162
Batch: 11, Loss: 5.452757358551025
Batch: 12, Loss: 5.296773910522461
Batch: 13, Loss: 4.930965423583984
Batch: 14, Loss: 5.108731269836426

Epoch 392 out of 2000Batch: 1, Loss: 6.418446063995361
Batch: 2, Loss: 5.954482555389404
Batch: 3, Loss: 5.773138046264648
Batch: 4, Loss: 6.038223743438721
Batch: 5, Loss: 6.447790145874023
Batch: 6, Loss: 5.946496486663818
Batch: 7, Loss: 6.066014766693115
Batch: 8, Loss: 6.240128993988037
Batch: 9, Loss: 6.084866046905518
Batch: 10, Loss: 6.165694713592529
Batch: 11, Loss: 6.3025593757629395
Batch: 12, Loss: 5.669097423553467
Batch: 13, Loss: 6.299732208251953
Batch: 14, Loss: 6.529334545135498

Epoch 393 out of 2000Batch: 1, Loss: 6.29231595993042
Batch: 2, Loss: 6.5587544441223145
Batch: 3, Loss: 5.730410575866699
Batch: 4, Loss: 5.9687418937683105
Batch: 5, Loss: 5.941837310791016
Batch: 6, Loss: 6.759448051452637
Batch: 7, Loss: 6.478744029998779
Batch: 8, Loss: 5.963251113891602
Batch: 9, Loss: 6.136638164520264
Batch: 10, Loss: 6.295469284057617
Batch: 11, Loss: 6.081903457641602
Batch: 12, Loss: 6.49290657043457
Batch: 13, Loss: 6.522480487823486
Batch: 14, Loss: 6.7248969078063965

Epoch 394 out of 2000Batch: 1, Loss: 6.69053840637207
Batch: 2, Loss: 5.908920764923096
Batch: 3, Loss: 6.51777982711792
Batch: 4, Loss: 6.356520652770996
Batch: 5, Loss: 6.825693607330322
Batch: 6, Loss: 6.624212265014648
Batch: 7, Loss: 6.760362148284912
Batch: 8, Loss: 6.5243048667907715
Batch: 9, Loss: 6.427731513977051
Batch: 10, Loss: 6.464140892028809
Batch: 11, Loss: 6.579375743865967
Batch: 12, Loss: 6.877493381500244
Batch: 13, Loss: 6.43009614944458
Batch: 14, Loss: 6.125576019287109

Epoch 395 out of 2000Batch: 1, Loss: 5.748040199279785
Batch: 2, Loss: 5.733089923858643
Batch: 3, Loss: 5.598265647888184
Batch: 4, Loss: 5.053715705871582
Batch: 5, Loss: 5.3019795417785645
Batch: 6, Loss: 5.247464179992676
Batch: 7, Loss: 5.223812103271484
Batch: 8, Loss: 5.469915866851807
Batch: 9, Loss: 5.5947346687316895
Batch: 10, Loss: 5.386260032653809
Batch: 11, Loss: 5.379486083984375
Batch: 12, Loss: 5.370853424072266
Batch: 13, Loss: 5.701681613922119
Batch: 14, Loss: 5.23494291305542

Epoch 396 out of 2000Batch: 1, Loss: 6.083684921264648
Batch: 2, Loss: 6.409427642822266
Batch: 3, Loss: 6.268350124359131
Batch: 4, Loss: 6.289732456207275
Batch: 5, Loss: 6.234728813171387
Batch: 6, Loss: 5.655166149139404
Batch: 7, Loss: 6.246933460235596
Batch: 8, Loss: 6.04019832611084
Batch: 9, Loss: 5.859557628631592
Batch: 10, Loss: 5.923256874084473
Batch: 11, Loss: 6.019775390625
Batch: 12, Loss: 6.478558540344238
Batch: 13, Loss: 5.821741104125977
Batch: 14, Loss: 6.006913661956787

Epoch 397 out of 2000Batch: 1, Loss: 6.589808940887451
Batch: 2, Loss: 6.869974613189697
Batch: 3, Loss: 6.55221700668335
Batch: 4, Loss: 6.7826104164123535
Batch: 5, Loss: 6.08974552154541
Batch: 6, Loss: 6.961824417114258
Batch: 7, Loss: 6.430056095123291
Batch: 8, Loss: 6.050155162811279
Batch: 9, Loss: 6.550488471984863
Batch: 10, Loss: 6.548798561096191
Batch: 11, Loss: 6.401977062225342
Batch: 12, Loss: 6.656221389770508
Batch: 13, Loss: 6.498386859893799
Batch: 14, Loss: 7.410017013549805

Epoch 398 out of 2000Batch: 1, Loss: 6.107517242431641
Batch: 2, Loss: 5.922217845916748
Batch: 3, Loss: 6.075300216674805
Batch: 4, Loss: 5.63029146194458
Batch: 5, Loss: 6.1166229248046875
Batch: 6, Loss: 6.102419376373291
Batch: 7, Loss: 6.340852737426758
Batch: 8, Loss: 5.559436321258545
Batch: 9, Loss: 5.737285137176514
Batch: 10, Loss: 5.836057186126709
Batch: 11, Loss: 5.6174774169921875
Batch: 12, Loss: 6.009487628936768
Batch: 13, Loss: 5.884449005126953
Batch: 14, Loss: 5.80586576461792

Epoch 399 out of 2000Batch: 1, Loss: 6.176178932189941
Batch: 2, Loss: 6.177753925323486
Batch: 3, Loss: 5.991100311279297
Batch: 4, Loss: 5.868858337402344
Batch: 5, Loss: 5.692639350891113
Batch: 6, Loss: 6.015735626220703
Batch: 7, Loss: 6.227447986602783
Batch: 8, Loss: 5.981468677520752
Batch: 9, Loss: 5.870100021362305
Batch: 10, Loss: 6.012275695800781
Batch: 11, Loss: 6.180583477020264
Batch: 12, Loss: 6.297318458557129
Batch: 13, Loss: 6.380515098571777
Batch: 14, Loss: 5.928979873657227

Epoch 400 out of 2000Batch: 1, Loss: 5.93183708190918
Batch: 2, Loss: 5.745716571807861
Batch: 3, Loss: 5.729501247406006
Batch: 4, Loss: 6.134856224060059
Batch: 5, Loss: 5.761049270629883
Batch: 6, Loss: 6.223551273345947
Batch: 7, Loss: 6.332311630249023
Batch: 8, Loss: 6.336226463317871
Batch: 9, Loss: 6.324951648712158
Batch: 10, Loss: 6.30491828918457
Batch: 11, Loss: 6.1543989181518555
Batch: 12, Loss: 6.082016468048096
Batch: 13, Loss: 6.03438663482666
Batch: 14, Loss: 6.290594577789307

Epoch 401 out of 2000Batch: 1, Loss: 5.9979939460754395
Batch: 2, Loss: 6.030333042144775
Batch: 3, Loss: 6.623315334320068
Batch: 4, Loss: 6.006992340087891
Batch: 5, Loss: 6.3162760734558105
Batch: 6, Loss: 6.55741548538208
Batch: 7, Loss: 5.559189796447754
Batch: 8, Loss: 5.841990947723389
Batch: 9, Loss: 5.944953918457031
Batch: 10, Loss: 6.21245002746582
Batch: 11, Loss: 6.579644680023193
Batch: 12, Loss: 6.295352458953857
Batch: 13, Loss: 6.127552509307861
Batch: 14, Loss: 6.099197864532471

Epoch 402 out of 2000Batch: 1, Loss: 5.986054420471191
Batch: 2, Loss: 6.207715034484863
Batch: 3, Loss: 6.084768295288086
Batch: 4, Loss: 5.537572383880615
Batch: 5, Loss: 5.953302383422852
Batch: 6, Loss: 5.589787483215332
Batch: 7, Loss: 5.951500415802002
Batch: 8, Loss: 6.225822448730469
Batch: 9, Loss: 5.660294055938721
Batch: 10, Loss: 6.0427985191345215
Batch: 11, Loss: 6.179199695587158
Batch: 12, Loss: 6.028578758239746
Batch: 13, Loss: 6.002320766448975
Batch: 14, Loss: 5.90691614151001

Epoch 403 out of 2000Batch: 1, Loss: 6.49303674697876
Batch: 2, Loss: 6.433211803436279
Batch: 3, Loss: 6.2532501220703125
Batch: 4, Loss: 6.403416633605957
Batch: 5, Loss: 6.304468631744385
Batch: 6, Loss: 6.313604354858398
Batch: 7, Loss: 6.184806823730469
Batch: 8, Loss: 5.7932963371276855
Batch: 9, Loss: 6.341625690460205
Batch: 10, Loss: 6.525088310241699
Batch: 11, Loss: 6.192629814147949
Batch: 12, Loss: 6.778070449829102
Batch: 13, Loss: 6.420100688934326
Batch: 14, Loss: 6.401562213897705

Epoch 404 out of 2000Batch: 1, Loss: 6.283870220184326
Batch: 2, Loss: 6.144641876220703
Batch: 3, Loss: 6.107587814331055
Batch: 4, Loss: 5.979800224304199
Batch: 5, Loss: 6.200303554534912
Batch: 6, Loss: 5.857128143310547
Batch: 7, Loss: 6.408681392669678
Batch: 8, Loss: 6.643252372741699
Batch: 9, Loss: 6.4816508293151855
Batch: 10, Loss: 6.429645538330078
Batch: 11, Loss: 6.05161714553833
Batch: 12, Loss: 6.036398887634277
Batch: 13, Loss: 6.1723527908325195
Batch: 14, Loss: 6.295923709869385

Epoch 405 out of 2000Batch: 1, Loss: 6.066675662994385
Batch: 2, Loss: 6.63786506652832
Batch: 3, Loss: 6.618058681488037
Batch: 4, Loss: 6.855595111846924
Batch: 5, Loss: 6.447518348693848
Batch: 6, Loss: 6.256742000579834
Batch: 7, Loss: 5.976801872253418
Batch: 8, Loss: 6.207642078399658
Batch: 9, Loss: 6.139029026031494
Batch: 10, Loss: 6.643446445465088
Batch: 11, Loss: 6.135653018951416
Batch: 12, Loss: 6.348275184631348
Batch: 13, Loss: 5.928007125854492
Batch: 14, Loss: 6.17502498626709

Epoch 406 out of 2000Batch: 1, Loss: 6.0640764236450195
Batch: 2, Loss: 6.36615514755249
Batch: 3, Loss: 6.341579437255859
Batch: 4, Loss: 6.223233699798584
Batch: 5, Loss: 6.455811500549316
Batch: 6, Loss: 6.390113353729248
Batch: 7, Loss: 6.529787063598633
Batch: 8, Loss: 6.44551420211792
Batch: 9, Loss: 6.312537670135498
Batch: 10, Loss: 6.384819507598877
Batch: 11, Loss: 6.112698554992676
Batch: 12, Loss: 6.299771785736084
Batch: 13, Loss: 5.725092887878418
Batch: 14, Loss: 6.4091668128967285

Epoch 407 out of 2000Batch: 1, Loss: 6.329617977142334
Batch: 2, Loss: 6.271627426147461
Batch: 3, Loss: 6.409420013427734
Batch: 4, Loss: 6.725439071655273
Batch: 5, Loss: 6.107686996459961
Batch: 6, Loss: 6.201735019683838
Batch: 7, Loss: 6.134160041809082
Batch: 8, Loss: 6.141544342041016
Batch: 9, Loss: 6.567656993865967
Batch: 10, Loss: 6.272613525390625
Batch: 11, Loss: 6.035322666168213
Batch: 12, Loss: 5.691152095794678
Batch: 13, Loss: 5.934234619140625
Batch: 14, Loss: 6.3806328773498535

Epoch 408 out of 2000Batch: 1, Loss: 5.577244281768799
Batch: 2, Loss: 5.711248397827148
Batch: 3, Loss: 5.997209548950195
Batch: 4, Loss: 5.861127853393555
Batch: 5, Loss: 5.931754112243652
Batch: 6, Loss: 6.2359724044799805
Batch: 7, Loss: 5.921219825744629
Batch: 8, Loss: 5.652493000030518
Batch: 9, Loss: 6.333603382110596
Batch: 10, Loss: 5.649723529815674
Batch: 11, Loss: 5.172403335571289
Batch: 12, Loss: 5.691222667694092
Batch: 13, Loss: 6.029423236846924
Batch: 14, Loss: 5.374126434326172

Epoch 409 out of 2000Batch: 1, Loss: 6.285289764404297
Batch: 2, Loss: 6.549149990081787
Batch: 3, Loss: 6.422503471374512
Batch: 4, Loss: 6.34268045425415
Batch: 5, Loss: 6.4557204246521
Batch: 6, Loss: 6.252856254577637
Batch: 7, Loss: 5.722385883331299
Batch: 8, Loss: 5.779407978057861
Batch: 9, Loss: 6.19788122177124
Batch: 10, Loss: 6.634798049926758
Batch: 11, Loss: 6.181922435760498
Batch: 12, Loss: 6.009580612182617
Batch: 13, Loss: 6.456040859222412
Batch: 14, Loss: 6.273396968841553

Epoch 410 out of 2000Batch: 1, Loss: 6.3989577293396
Batch: 2, Loss: 6.0825886726379395
Batch: 3, Loss: 5.975494384765625
Batch: 4, Loss: 6.140658378601074
Batch: 5, Loss: 6.05603551864624
Batch: 6, Loss: 5.655743598937988
Batch: 7, Loss: 5.927692413330078
Batch: 8, Loss: 6.53939962387085
Batch: 9, Loss: 5.77757453918457
Batch: 10, Loss: 6.19260311126709
Batch: 11, Loss: 6.22006893157959
Batch: 12, Loss: 6.236792087554932
Batch: 13, Loss: 5.906487941741943
Batch: 14, Loss: 5.9187188148498535

Epoch 411 out of 2000Batch: 1, Loss: 5.643810272216797
Batch: 2, Loss: 6.366780757904053
Batch: 3, Loss: 6.187808513641357
Batch: 4, Loss: 5.936340808868408
Batch: 5, Loss: 5.921204090118408
Batch: 6, Loss: 5.690185070037842
Batch: 7, Loss: 6.458536624908447
Batch: 8, Loss: 6.208639621734619
Batch: 9, Loss: 6.335082054138184
Batch: 10, Loss: 6.236335754394531
Batch: 11, Loss: 6.311086654663086
Batch: 12, Loss: 5.871084690093994
Batch: 13, Loss: 5.934780120849609
Batch: 14, Loss: 6.5480146408081055

Epoch 412 out of 2000Batch: 1, Loss: 5.534049987792969
Batch: 2, Loss: 5.671384811401367
Batch: 3, Loss: 5.468649387359619
Batch: 4, Loss: 5.8507843017578125
Batch: 5, Loss: 5.449626445770264
Batch: 6, Loss: 5.889734745025635
Batch: 7, Loss: 4.98158597946167
Batch: 8, Loss: 5.3603739738464355
Batch: 9, Loss: 5.610039710998535
Batch: 10, Loss: 5.170088768005371
Batch: 11, Loss: 5.253884315490723
Batch: 12, Loss: 5.761516571044922
Batch: 13, Loss: 5.51338005065918
Batch: 14, Loss: 5.708314418792725

Epoch 413 out of 2000Batch: 1, Loss: 6.573339462280273
Batch: 2, Loss: 6.306349754333496
Batch: 3, Loss: 6.1110005378723145
Batch: 4, Loss: 6.746816635131836
Batch: 5, Loss: 6.677592754364014
Batch: 6, Loss: 6.242086887359619
Batch: 7, Loss: 7.080470561981201
Batch: 8, Loss: 6.493502616882324
Batch: 9, Loss: 6.212718963623047
Batch: 10, Loss: 6.684423923492432
Batch: 11, Loss: 6.627552509307861
Batch: 12, Loss: 6.214019775390625
Batch: 13, Loss: 6.308509826660156
Batch: 14, Loss: 6.165309429168701

Epoch 414 out of 2000Batch: 1, Loss: 5.953774929046631
Batch: 2, Loss: 5.74934196472168
Batch: 3, Loss: 5.82481575012207
Batch: 4, Loss: 5.697312355041504
Batch: 5, Loss: 5.630115985870361
Batch: 6, Loss: 5.708398818969727
Batch: 7, Loss: 6.194342613220215
Batch: 8, Loss: 5.774295330047607
Batch: 9, Loss: 5.972774028778076
Batch: 10, Loss: 5.626209259033203
Batch: 11, Loss: 5.748958587646484
Batch: 12, Loss: 5.75209379196167
Batch: 13, Loss: 5.801572799682617
Batch: 14, Loss: 5.371729373931885

Epoch 415 out of 2000Batch: 1, Loss: 6.414013385772705
Batch: 2, Loss: 6.113310813903809
Batch: 3, Loss: 5.795357704162598
Batch: 4, Loss: 6.472437858581543
Batch: 5, Loss: 6.267212867736816
Batch: 6, Loss: 6.241725444793701
Batch: 7, Loss: 6.393709659576416
Batch: 8, Loss: 5.932365417480469
Batch: 9, Loss: 5.8702006340026855
Batch: 10, Loss: 6.061744213104248
Batch: 11, Loss: 6.049599647521973
Batch: 12, Loss: 6.455065727233887
Batch: 13, Loss: 6.136668682098389
Batch: 14, Loss: 5.966211795806885

Epoch 416 out of 2000Batch: 1, Loss: 6.838061809539795
Batch: 2, Loss: 6.637773036956787
Batch: 3, Loss: 6.954753875732422
Batch: 4, Loss: 6.035471439361572
Batch: 5, Loss: 6.904971122741699
Batch: 6, Loss: 6.048348426818848
Batch: 7, Loss: 6.680851459503174
Batch: 8, Loss: 6.288563251495361
Batch: 9, Loss: 6.349874973297119
Batch: 10, Loss: 6.649220943450928
Batch: 11, Loss: 6.2591753005981445
Batch: 12, Loss: 6.499678611755371
Batch: 13, Loss: 6.290680408477783
Batch: 14, Loss: 6.6582722663879395

Epoch 417 out of 2000Batch: 1, Loss: 6.315767765045166
Batch: 2, Loss: 6.289895057678223
Batch: 3, Loss: 6.7266316413879395
Batch: 4, Loss: 6.348297595977783
Batch: 5, Loss: 6.604386329650879
Batch: 6, Loss: 6.041690349578857
Batch: 7, Loss: 6.195080280303955
Batch: 8, Loss: 6.44867467880249
Batch: 9, Loss: 6.768045902252197
Batch: 10, Loss: 6.46919059753418
Batch: 11, Loss: 6.06646203994751
Batch: 12, Loss: 6.632815837860107
Batch: 13, Loss: 6.121747970581055
Batch: 14, Loss: 6.3216423988342285

Epoch 418 out of 2000Batch: 1, Loss: 5.4684858322143555
Batch: 2, Loss: 5.583722114562988
Batch: 3, Loss: 4.769109725952148
Batch: 4, Loss: 5.039999008178711
Batch: 5, Loss: 5.4748759269714355
Batch: 6, Loss: 5.427124977111816
Batch: 7, Loss: 5.2481207847595215
Batch: 8, Loss: 5.290463447570801
Batch: 9, Loss: 5.154877662658691
Batch: 10, Loss: 5.517107963562012
Batch: 11, Loss: 4.931998252868652
Batch: 12, Loss: 5.069036483764648
Batch: 13, Loss: 5.1655473709106445
Batch: 14, Loss: 5.52606201171875

Epoch 419 out of 2000Batch: 1, Loss: 6.217098236083984
Batch: 2, Loss: 6.197901725769043
Batch: 3, Loss: 6.5115227699279785
Batch: 4, Loss: 6.369565963745117
Batch: 5, Loss: 6.493784427642822
Batch: 6, Loss: 6.569748401641846
Batch: 7, Loss: 6.338780403137207
Batch: 8, Loss: 6.257397651672363
Batch: 9, Loss: 6.32493782043457
Batch: 10, Loss: 6.008987903594971
Batch: 11, Loss: 6.438492298126221
Batch: 12, Loss: 6.428238868713379
Batch: 13, Loss: 6.330954551696777
Batch: 14, Loss: 6.573070526123047

Epoch 420 out of 2000Batch: 1, Loss: 6.016974449157715
Batch: 2, Loss: 6.13327693939209
Batch: 3, Loss: 6.373570919036865
Batch: 4, Loss: 6.746988773345947
Batch: 5, Loss: 6.68282413482666
Batch: 6, Loss: 6.597359657287598
Batch: 7, Loss: 6.699270725250244
Batch: 8, Loss: 6.924237251281738
Batch: 9, Loss: 6.530025959014893
Batch: 10, Loss: 6.211027145385742
Batch: 11, Loss: 6.738420486450195
Batch: 12, Loss: 6.231603145599365
Batch: 13, Loss: 6.579759120941162
Batch: 14, Loss: 6.547383785247803

Epoch 421 out of 2000Batch: 1, Loss: 6.644812107086182
Batch: 2, Loss: 6.560677528381348
Batch: 3, Loss: 6.085131645202637
Batch: 4, Loss: 6.45824670791626
Batch: 5, Loss: 6.7986907958984375
Batch: 6, Loss: 6.087110996246338
Batch: 7, Loss: 6.20117712020874
Batch: 8, Loss: 5.9680047035217285
Batch: 9, Loss: 6.443804740905762
Batch: 10, Loss: 6.6008620262146
Batch: 11, Loss: 6.2266740798950195
Batch: 12, Loss: 6.785487174987793
Batch: 13, Loss: 6.481978893280029
Batch: 14, Loss: 5.8808207511901855

Epoch 422 out of 2000Batch: 1, Loss: 5.164854526519775
Batch: 2, Loss: 5.4479146003723145
Batch: 3, Loss: 5.130908489227295
Batch: 4, Loss: 5.5575408935546875
Batch: 5, Loss: 5.019227027893066
Batch: 6, Loss: 4.8674702644348145
Batch: 7, Loss: 5.412879943847656
Batch: 8, Loss: 4.788264751434326
Batch: 9, Loss: 5.1360321044921875
Batch: 10, Loss: 5.472616672515869
Batch: 11, Loss: 5.071054458618164
Batch: 12, Loss: 4.831638813018799
Batch: 13, Loss: 5.0609211921691895
Batch: 14, Loss: 5.5727763175964355

Epoch 423 out of 2000Batch: 1, Loss: 6.199896335601807
Batch: 2, Loss: 5.918949604034424
Batch: 3, Loss: 5.437628746032715
Batch: 4, Loss: 5.785727024078369
Batch: 5, Loss: 5.436847686767578
Batch: 6, Loss: 5.581504821777344
Batch: 7, Loss: 6.099262237548828
Batch: 8, Loss: 5.695005893707275
Batch: 9, Loss: 5.58824348449707
Batch: 10, Loss: 5.47153377532959
Batch: 11, Loss: 5.86812162399292
Batch: 12, Loss: 5.43319034576416
Batch: 13, Loss: 5.762825965881348
Batch: 14, Loss: 4.9173502922058105

Epoch 424 out of 2000Batch: 1, Loss: 5.5242414474487305
Batch: 2, Loss: 6.130874156951904
Batch: 3, Loss: 5.6263251304626465
Batch: 4, Loss: 5.763764381408691
Batch: 5, Loss: 5.413854122161865
Batch: 6, Loss: 5.7272515296936035
Batch: 7, Loss: 6.013819217681885
Batch: 8, Loss: 5.5518622398376465
Batch: 9, Loss: 5.504088878631592
Batch: 10, Loss: 5.3921589851379395
Batch: 11, Loss: 5.866454601287842
Batch: 12, Loss: 5.514584541320801
Batch: 13, Loss: 5.340655326843262
Batch: 14, Loss: 4.543672561645508

Epoch 425 out of 2000Batch: 1, Loss: 5.719025135040283
Batch: 2, Loss: 6.140191078186035
Batch: 3, Loss: 6.102739334106445
Batch: 4, Loss: 5.987799167633057
Batch: 5, Loss: 6.08964204788208
Batch: 6, Loss: 5.695638179779053
Batch: 7, Loss: 5.578610897064209
Batch: 8, Loss: 6.140995979309082
Batch: 9, Loss: 5.732731819152832
Batch: 10, Loss: 6.117190837860107
Batch: 11, Loss: 5.746833324432373
Batch: 12, Loss: 5.624019145965576
Batch: 13, Loss: 5.182349681854248
Batch: 14, Loss: 5.483042240142822

Epoch 426 out of 2000Batch: 1, Loss: 6.402119159698486
Batch: 2, Loss: 6.335850715637207
Batch: 3, Loss: 6.243542194366455
Batch: 4, Loss: 6.437532424926758
Batch: 5, Loss: 6.020836353302002
Batch: 6, Loss: 6.3065924644470215
Batch: 7, Loss: 6.386366367340088
Batch: 8, Loss: 6.006563663482666
Batch: 9, Loss: 6.122238636016846
Batch: 10, Loss: 6.198375701904297
Batch: 11, Loss: 5.862349510192871
Batch: 12, Loss: 6.2207489013671875
Batch: 13, Loss: 6.009150505065918
Batch: 14, Loss: 5.446163654327393

Epoch 427 out of 2000Batch: 1, Loss: 5.679698944091797
Batch: 2, Loss: 6.204712390899658
Batch: 3, Loss: 5.9957404136657715
Batch: 4, Loss: 5.508920669555664
Batch: 5, Loss: 5.962629795074463
Batch: 6, Loss: 5.720233917236328
Batch: 7, Loss: 5.9668097496032715
Batch: 8, Loss: 5.894728660583496
Batch: 9, Loss: 5.9928693771362305
Batch: 10, Loss: 6.057587146759033
Batch: 11, Loss: 5.862154006958008
Batch: 12, Loss: 5.932134628295898
Batch: 13, Loss: 5.578468322753906
Batch: 14, Loss: 6.469860076904297

Epoch 428 out of 2000Batch: 1, Loss: 6.276103496551514
Batch: 2, Loss: 6.49426794052124
Batch: 3, Loss: 6.140380859375
Batch: 4, Loss: 6.291873931884766
Batch: 5, Loss: 6.713127136230469
Batch: 6, Loss: 6.379364013671875
Batch: 7, Loss: 6.271505355834961
Batch: 8, Loss: 6.702102184295654
Batch: 9, Loss: 6.413171768188477
Batch: 10, Loss: 6.047590255737305
Batch: 11, Loss: 6.499541759490967
Batch: 12, Loss: 5.785599708557129
Batch: 13, Loss: 6.550043106079102
Batch: 14, Loss: 5.72638463973999

Epoch 429 out of 2000Batch: 1, Loss: 5.649713516235352
Batch: 2, Loss: 6.225620746612549
Batch: 3, Loss: 5.464012145996094
Batch: 4, Loss: 5.693018913269043
Batch: 5, Loss: 5.723661422729492
Batch: 6, Loss: 6.0748701095581055
Batch: 7, Loss: 5.721395015716553
Batch: 8, Loss: 5.547869682312012
Batch: 9, Loss: 5.786283493041992
Batch: 10, Loss: 5.535008430480957
Batch: 11, Loss: 5.348327159881592
Batch: 12, Loss: 5.882906436920166
Batch: 13, Loss: 5.830648422241211
Batch: 14, Loss: 5.499325275421143

Epoch 430 out of 2000Batch: 1, Loss: 6.74692964553833
Batch: 2, Loss: 6.772266864776611
Batch: 3, Loss: 6.973074913024902
Batch: 4, Loss: 6.380478382110596
Batch: 5, Loss: 6.507334232330322
Batch: 6, Loss: 6.360493183135986
Batch: 7, Loss: 6.463008403778076
Batch: 8, Loss: 6.7550153732299805
Batch: 9, Loss: 6.679460525512695
Batch: 10, Loss: 6.741458415985107
Batch: 11, Loss: 6.564135551452637
Batch: 12, Loss: 6.532336235046387
Batch: 13, Loss: 6.290153980255127
Batch: 14, Loss: 6.748752593994141

Epoch 431 out of 2000Batch: 1, Loss: 6.548025608062744
Batch: 2, Loss: 6.3867058753967285
Batch: 3, Loss: 6.070213317871094
Batch: 4, Loss: 5.631568908691406
Batch: 5, Loss: 6.301888465881348
Batch: 6, Loss: 5.652979850769043
Batch: 7, Loss: 5.850801944732666
Batch: 8, Loss: 5.962024211883545
Batch: 9, Loss: 5.894837379455566
Batch: 10, Loss: 5.997414588928223
Batch: 11, Loss: 5.794431686401367
Batch: 12, Loss: 5.588829517364502
Batch: 13, Loss: 5.709773063659668
Batch: 14, Loss: 6.401482105255127

Epoch 432 out of 2000Batch: 1, Loss: 5.877097129821777
Batch: 2, Loss: 5.637102127075195
Batch: 3, Loss: 5.393392086029053
Batch: 4, Loss: 5.053420066833496
Batch: 5, Loss: 5.3347368240356445
Batch: 6, Loss: 5.844000339508057
Batch: 7, Loss: 5.752969264984131
Batch: 8, Loss: 5.57021951675415
Batch: 9, Loss: 6.129718780517578
Batch: 10, Loss: 5.714055061340332
Batch: 11, Loss: 5.677669048309326
Batch: 12, Loss: 5.569091796875
Batch: 13, Loss: 5.656533718109131
Batch: 14, Loss: 5.878133773803711

Epoch 433 out of 2000Batch: 1, Loss: 5.070956707000732
Batch: 2, Loss: 5.38054895401001
Batch: 3, Loss: 5.436267852783203
Batch: 4, Loss: 5.7516069412231445
Batch: 5, Loss: 5.792593002319336
Batch: 6, Loss: 5.593533039093018
Batch: 7, Loss: 5.384033679962158
Batch: 8, Loss: 5.367180347442627
Batch: 9, Loss: 5.45294189453125
Batch: 10, Loss: 5.515821933746338
Batch: 11, Loss: 5.842230319976807
Batch: 12, Loss: 5.227761268615723
Batch: 13, Loss: 5.476733207702637
Batch: 14, Loss: 5.388820171356201

Epoch 434 out of 2000Batch: 1, Loss: 6.068833351135254
Batch: 2, Loss: 5.414488315582275
Batch: 3, Loss: 5.508760929107666
Batch: 4, Loss: 5.691765785217285
Batch: 5, Loss: 5.821185111999512
Batch: 6, Loss: 5.524551868438721
Batch: 7, Loss: 5.732929706573486
Batch: 8, Loss: 5.558587551116943
Batch: 9, Loss: 5.958052158355713
Batch: 10, Loss: 5.488489151000977
Batch: 11, Loss: 5.272089004516602
Batch: 12, Loss: 5.799188137054443
Batch: 13, Loss: 5.890448093414307
Batch: 14, Loss: 5.905151844024658

Epoch 435 out of 2000Batch: 1, Loss: 6.881606101989746
Batch: 2, Loss: 6.100152015686035
Batch: 3, Loss: 6.6165289878845215
Batch: 4, Loss: 6.177994251251221
Batch: 5, Loss: 6.496166229248047
Batch: 6, Loss: 6.557721138000488
Batch: 7, Loss: 6.520784854888916
Batch: 8, Loss: 6.312404632568359
Batch: 9, Loss: 6.133556842803955
Batch: 10, Loss: 6.300108432769775
Batch: 11, Loss: 6.244058609008789
Batch: 12, Loss: 5.952491760253906
Batch: 13, Loss: 6.9993462562561035
Batch: 14, Loss: 5.682413101196289

Epoch 436 out of 2000Batch: 1, Loss: 5.945870399475098
Batch: 2, Loss: 6.152611255645752
Batch: 3, Loss: 6.4990763664245605
Batch: 4, Loss: 6.189613342285156
Batch: 5, Loss: 6.530215740203857
Batch: 6, Loss: 5.639756202697754
Batch: 7, Loss: 5.960139751434326
Batch: 8, Loss: 5.821080207824707
Batch: 9, Loss: 5.985383033752441
Batch: 10, Loss: 5.6753764152526855
Batch: 11, Loss: 5.691607475280762
Batch: 12, Loss: 5.4816975593566895
Batch: 13, Loss: 6.486339092254639
Batch: 14, Loss: 6.073736190795898

Epoch 437 out of 2000Batch: 1, Loss: 5.396846771240234
Batch: 2, Loss: 5.139064788818359
Batch: 3, Loss: 5.484381675720215
Batch: 4, Loss: 5.178659915924072
Batch: 5, Loss: 5.203734397888184
Batch: 6, Loss: 5.371242046356201
Batch: 7, Loss: 5.317313194274902
Batch: 8, Loss: 4.48471212387085
Batch: 9, Loss: 5.3193440437316895
Batch: 10, Loss: 5.314775466918945
Batch: 11, Loss: 5.4267754554748535
Batch: 12, Loss: 5.478023529052734
Batch: 13, Loss: 5.046013832092285
Batch: 14, Loss: 5.321319580078125

Epoch 438 out of 2000Batch: 1, Loss: 6.215794563293457
Batch: 2, Loss: 5.893062591552734
Batch: 3, Loss: 6.449911594390869
Batch: 4, Loss: 5.856853485107422
Batch: 5, Loss: 6.249933242797852
Batch: 6, Loss: 6.175166130065918
Batch: 7, Loss: 6.20397424697876
Batch: 8, Loss: 6.284116268157959
Batch: 9, Loss: 6.386956691741943
Batch: 10, Loss: 6.634293079376221
Batch: 11, Loss: 6.54617166519165
Batch: 12, Loss: 6.115480422973633
Batch: 13, Loss: 6.03518533706665
Batch: 14, Loss: 6.258257865905762

Epoch 439 out of 2000Batch: 1, Loss: 6.0611090660095215
Batch: 2, Loss: 6.351069450378418
Batch: 3, Loss: 5.535426139831543
Batch: 4, Loss: 6.018765926361084
Batch: 5, Loss: 5.856307506561279
Batch: 6, Loss: 6.048562049865723
Batch: 7, Loss: 5.883049488067627
Batch: 8, Loss: 5.564014434814453
Batch: 9, Loss: 5.828329563140869
Batch: 10, Loss: 5.87492036819458
Batch: 11, Loss: 5.863247871398926
Batch: 12, Loss: 5.469801425933838
Batch: 13, Loss: 5.992010593414307
Batch: 14, Loss: 5.661736965179443

Epoch 440 out of 2000Batch: 1, Loss: 5.511844635009766
Batch: 2, Loss: 4.938487529754639
Batch: 3, Loss: 5.61073637008667
Batch: 4, Loss: 5.604894638061523
Batch: 5, Loss: 5.335487365722656
Batch: 6, Loss: 4.8960747718811035
Batch: 7, Loss: 5.302958965301514
Batch: 8, Loss: 5.385116100311279
Batch: 9, Loss: 5.296391010284424
Batch: 10, Loss: 4.987154483795166
Batch: 11, Loss: 5.217554092407227
Batch: 12, Loss: 5.04036283493042
Batch: 13, Loss: 5.387321949005127
Batch: 14, Loss: 5.092885971069336

Epoch 441 out of 2000Batch: 1, Loss: 5.561216354370117
Batch: 2, Loss: 6.445334434509277
Batch: 3, Loss: 5.53383207321167
Batch: 4, Loss: 6.171280384063721
Batch: 5, Loss: 6.299590110778809
Batch: 6, Loss: 6.053744316101074
Batch: 7, Loss: 6.113333702087402
Batch: 8, Loss: 5.87448263168335
Batch: 9, Loss: 6.602902889251709
Batch: 10, Loss: 5.9789581298828125
Batch: 11, Loss: 6.466813564300537
Batch: 12, Loss: 5.833187103271484
Batch: 13, Loss: 6.040569305419922
Batch: 14, Loss: 5.979302883148193

Epoch 442 out of 2000Batch: 1, Loss: 6.193119525909424
Batch: 2, Loss: 6.242844104766846
Batch: 3, Loss: 6.196470737457275
Batch: 4, Loss: 6.368125915527344
Batch: 5, Loss: 6.130246162414551
Batch: 6, Loss: 6.120321273803711
Batch: 7, Loss: 6.505512714385986
Batch: 8, Loss: 5.908827781677246
Batch: 9, Loss: 6.293335914611816
Batch: 10, Loss: 6.1429853439331055
Batch: 11, Loss: 6.311645984649658
Batch: 12, Loss: 6.4881272315979
Batch: 13, Loss: 5.795841217041016
Batch: 14, Loss: 5.863646984100342

Epoch 443 out of 2000Batch: 1, Loss: 6.553923606872559
Batch: 2, Loss: 6.5022196769714355
Batch: 3, Loss: 6.741865634918213
Batch: 4, Loss: 6.957520961761475
Batch: 5, Loss: 6.533091068267822
Batch: 6, Loss: 6.360260486602783
Batch: 7, Loss: 6.386873245239258
Batch: 8, Loss: 6.728699207305908
Batch: 9, Loss: 6.6493659019470215
Batch: 10, Loss: 6.5686235427856445
Batch: 11, Loss: 6.120783805847168
Batch: 12, Loss: 6.713667869567871
Batch: 13, Loss: 6.103903293609619
Batch: 14, Loss: 6.254485130310059

Epoch 444 out of 2000Batch: 1, Loss: 6.325536727905273
Batch: 2, Loss: 5.988504886627197
Batch: 3, Loss: 5.9965972900390625
Batch: 4, Loss: 5.7840189933776855
Batch: 5, Loss: 5.186046123504639
Batch: 6, Loss: 5.669455528259277
Batch: 7, Loss: 5.484225273132324
Batch: 8, Loss: 5.802103042602539
Batch: 9, Loss: 6.105985641479492
Batch: 10, Loss: 5.953057765960693
Batch: 11, Loss: 5.734493255615234
Batch: 12, Loss: 5.356475830078125
Batch: 13, Loss: 5.658082485198975
Batch: 14, Loss: 5.321645259857178

Epoch 445 out of 2000Batch: 1, Loss: 5.979086399078369
Batch: 2, Loss: 6.2765092849731445
Batch: 3, Loss: 6.169652462005615
Batch: 4, Loss: 5.524661064147949
Batch: 5, Loss: 5.834291934967041
Batch: 6, Loss: 5.6393046379089355
Batch: 7, Loss: 5.884941101074219
Batch: 8, Loss: 5.833482265472412
Batch: 9, Loss: 6.023508071899414
Batch: 10, Loss: 5.58603572845459
Batch: 11, Loss: 6.02047872543335
Batch: 12, Loss: 5.683304309844971
Batch: 13, Loss: 5.861866474151611
Batch: 14, Loss: 5.868865013122559

Epoch 446 out of 2000Batch: 1, Loss: 6.337333679199219
Batch: 2, Loss: 6.020553112030029
Batch: 3, Loss: 6.360035419464111
Batch: 4, Loss: 6.079666614532471
Batch: 5, Loss: 6.155018329620361
Batch: 6, Loss: 6.39813232421875
Batch: 7, Loss: 6.3481125831604
Batch: 8, Loss: 6.085522651672363
Batch: 9, Loss: 6.008515357971191
Batch: 10, Loss: 6.154766082763672
Batch: 11, Loss: 6.117789268493652
Batch: 12, Loss: 6.275902271270752
Batch: 13, Loss: 6.04233455657959
Batch: 14, Loss: 5.918140411376953

Epoch 447 out of 2000Batch: 1, Loss: 5.7140398025512695
Batch: 2, Loss: 5.897126197814941
Batch: 3, Loss: 5.406335830688477
Batch: 4, Loss: 5.6252360343933105
Batch: 5, Loss: 5.867701530456543
Batch: 6, Loss: 5.791468143463135
Batch: 7, Loss: 5.676279067993164
Batch: 8, Loss: 5.551588535308838
Batch: 9, Loss: 5.635374546051025
Batch: 10, Loss: 5.399326801300049
Batch: 11, Loss: 5.495689392089844
Batch: 12, Loss: 5.308345794677734
Batch: 13, Loss: 5.48875093460083
Batch: 14, Loss: 5.24591064453125

Epoch 448 out of 2000Batch: 1, Loss: 5.838229656219482
Batch: 2, Loss: 5.7961554527282715
Batch: 3, Loss: 6.082046985626221
Batch: 4, Loss: 5.705704212188721
Batch: 5, Loss: 5.815589904785156
Batch: 6, Loss: 5.429394245147705
Batch: 7, Loss: 5.772043228149414
Batch: 8, Loss: 5.560885906219482
Batch: 9, Loss: 5.709349155426025
Batch: 10, Loss: 5.531415939331055
Batch: 11, Loss: 5.72521448135376
Batch: 12, Loss: 5.682963848114014
Batch: 13, Loss: 5.508853912353516
Batch: 14, Loss: 5.437506198883057

Epoch 449 out of 2000Batch: 1, Loss: 6.432730197906494
Batch: 2, Loss: 6.515985488891602
Batch: 3, Loss: 6.676618576049805
Batch: 4, Loss: 6.546127796173096
Batch: 5, Loss: 6.580078125
Batch: 6, Loss: 6.298813819885254
Batch: 7, Loss: 6.218735218048096
Batch: 8, Loss: 6.684095859527588
Batch: 9, Loss: 6.286465644836426
Batch: 10, Loss: 6.279341220855713
Batch: 11, Loss: 6.3353986740112305
Batch: 12, Loss: 6.334641456604004
Batch: 13, Loss: 6.178008556365967
Batch: 14, Loss: 5.852166175842285

Epoch 450 out of 2000Batch: 1, Loss: 6.8375091552734375
Batch: 2, Loss: 6.807509422302246
Batch: 3, Loss: 6.0389838218688965
Batch: 4, Loss: 6.525609016418457
Batch: 5, Loss: 6.012104034423828
Batch: 6, Loss: 6.577445030212402
Batch: 7, Loss: 6.147758483886719
Batch: 8, Loss: 6.451259613037109
Batch: 9, Loss: 6.425691604614258
Batch: 10, Loss: 6.21036958694458
Batch: 11, Loss: 6.818115234375
Batch: 12, Loss: 6.254232406616211
Batch: 13, Loss: 6.786212921142578
Batch: 14, Loss: 6.642617225646973

Epoch 451 out of 2000Batch: 1, Loss: 5.716848373413086
Batch: 2, Loss: 5.027866363525391
Batch: 3, Loss: 5.216420650482178
Batch: 4, Loss: 5.947897911071777
Batch: 5, Loss: 5.3874592781066895
Batch: 6, Loss: 5.545754432678223
Batch: 7, Loss: 5.607183456420898
Batch: 8, Loss: 5.665847301483154
Batch: 9, Loss: 5.300136566162109
Batch: 10, Loss: 5.553716659545898
Batch: 11, Loss: 5.220226287841797
Batch: 12, Loss: 5.393698215484619
Batch: 13, Loss: 5.152646541595459
Batch: 14, Loss: 5.037247657775879

Epoch 452 out of 2000Batch: 1, Loss: 5.328699588775635
Batch: 2, Loss: 5.497549057006836
Batch: 3, Loss: 5.7129225730896
Batch: 4, Loss: 5.734633922576904
Batch: 5, Loss: 5.4919304847717285
Batch: 6, Loss: 5.428985595703125
Batch: 7, Loss: 5.850928783416748
Batch: 8, Loss: 5.638597011566162
Batch: 9, Loss: 5.289381980895996
Batch: 10, Loss: 5.715606689453125
Batch: 11, Loss: 5.803717136383057
Batch: 12, Loss: 5.138169288635254
Batch: 13, Loss: 5.795666694641113
Batch: 14, Loss: 5.1400861740112305

Epoch 453 out of 2000Batch: 1, Loss: 5.828888893127441
Batch: 2, Loss: 6.2657365798950195
Batch: 3, Loss: 6.124721050262451
Batch: 4, Loss: 5.852560997009277
Batch: 5, Loss: 5.745782852172852
Batch: 6, Loss: 6.295359134674072
Batch: 7, Loss: 6.021053314208984
Batch: 8, Loss: 5.601264953613281
Batch: 9, Loss: 6.1766839027404785
Batch: 10, Loss: 6.219470024108887
Batch: 11, Loss: 5.756532669067383
Batch: 12, Loss: 5.647077560424805
Batch: 13, Loss: 5.336260795593262
Batch: 14, Loss: 5.668119430541992

Epoch 454 out of 2000Batch: 1, Loss: 5.733328819274902
Batch: 2, Loss: 5.8362932205200195
Batch: 3, Loss: 5.597127914428711
Batch: 4, Loss: 5.797682285308838
Batch: 5, Loss: 5.999752998352051
Batch: 6, Loss: 5.503686904907227
Batch: 7, Loss: 5.777824401855469
Batch: 8, Loss: 5.431848049163818
Batch: 9, Loss: 6.001763343811035
Batch: 10, Loss: 5.999495506286621
Batch: 11, Loss: 5.585101127624512
Batch: 12, Loss: 5.694344520568848
Batch: 13, Loss: 5.589072227478027
Batch: 14, Loss: 6.365856170654297

Epoch 455 out of 2000Batch: 1, Loss: 5.889811038970947
Batch: 2, Loss: 6.420647144317627
Batch: 3, Loss: 5.628889560699463
Batch: 4, Loss: 6.3934712409973145
Batch: 5, Loss: 6.156140327453613
Batch: 6, Loss: 5.973820686340332
Batch: 7, Loss: 6.575554370880127
Batch: 8, Loss: 6.43027400970459
Batch: 9, Loss: 6.537900447845459
Batch: 10, Loss: 6.188774108886719
Batch: 11, Loss: 6.165322780609131
Batch: 12, Loss: 6.080414772033691
Batch: 13, Loss: 6.484481334686279
Batch: 14, Loss: 6.4166340827941895

Epoch 456 out of 2000Batch: 1, Loss: 5.854123592376709
Batch: 2, Loss: 5.421830177307129
Batch: 3, Loss: 5.808426380157471
Batch: 4, Loss: 6.065677642822266
Batch: 5, Loss: 5.7460103034973145
Batch: 6, Loss: 5.598979473114014
Batch: 7, Loss: 6.526498794555664
Batch: 8, Loss: 5.388609886169434
Batch: 9, Loss: 5.852625370025635
Batch: 10, Loss: 5.89251708984375
Batch: 11, Loss: 6.043461322784424
Batch: 12, Loss: 5.685664176940918
Batch: 13, Loss: 5.976726531982422
Batch: 14, Loss: 6.063021183013916

Epoch 457 out of 2000Batch: 1, Loss: 5.567971229553223
Batch: 2, Loss: 5.423099994659424
Batch: 3, Loss: 5.172972202301025
Batch: 4, Loss: 5.168144226074219
Batch: 5, Loss: 5.423390865325928
Batch: 6, Loss: 5.180389881134033
Batch: 7, Loss: 5.274908065795898
Batch: 8, Loss: 5.245025157928467
Batch: 9, Loss: 5.347452163696289
Batch: 10, Loss: 5.123935699462891
Batch: 11, Loss: 5.093521595001221
Batch: 12, Loss: 5.064728736877441
Batch: 13, Loss: 5.195448875427246
Batch: 14, Loss: 4.579063892364502

Epoch 458 out of 2000Batch: 1, Loss: 6.470251560211182
Batch: 2, Loss: 6.406623363494873
Batch: 3, Loss: 6.767146110534668
Batch: 4, Loss: 6.295831680297852
Batch: 5, Loss: 6.634400844573975
Batch: 6, Loss: 6.1091485023498535
Batch: 7, Loss: 6.10990571975708
Batch: 8, Loss: 5.753973007202148
Batch: 9, Loss: 6.340646743774414
Batch: 10, Loss: 6.277918338775635
Batch: 11, Loss: 6.342125415802002
Batch: 12, Loss: 6.138772964477539
Batch: 13, Loss: 6.1449127197265625
Batch: 14, Loss: 5.792175769805908

Epoch 459 out of 2000Batch: 1, Loss: 5.710976600646973
Batch: 2, Loss: 5.845424652099609
Batch: 3, Loss: 5.91656494140625
Batch: 4, Loss: 6.476670265197754
Batch: 5, Loss: 6.032763957977295
Batch: 6, Loss: 6.1833577156066895
Batch: 7, Loss: 5.689883708953857
Batch: 8, Loss: 5.76176118850708
Batch: 9, Loss: 5.653634548187256
Batch: 10, Loss: 5.832808971405029
Batch: 11, Loss: 6.297382831573486
Batch: 12, Loss: 5.975574970245361
Batch: 13, Loss: 5.908904552459717
Batch: 14, Loss: 5.688267707824707

Epoch 460 out of 2000Batch: 1, Loss: 6.5698161125183105
Batch: 2, Loss: 6.966434955596924
Batch: 3, Loss: 7.244915962219238
Batch: 4, Loss: 6.204874038696289
Batch: 5, Loss: 6.659519195556641
Batch: 6, Loss: 6.249800682067871
Batch: 7, Loss: 6.362511157989502
Batch: 8, Loss: 6.486684322357178
Batch: 9, Loss: 6.564094543457031
Batch: 10, Loss: 6.466257095336914
Batch: 11, Loss: 6.389842987060547
Batch: 12, Loss: 6.468719959259033
Batch: 13, Loss: 6.551815509796143
Batch: 14, Loss: 5.707167148590088

Epoch 461 out of 2000Batch: 1, Loss: 6.031538486480713
Batch: 2, Loss: 5.8587799072265625
Batch: 3, Loss: 6.125513076782227
Batch: 4, Loss: 6.099063396453857
Batch: 5, Loss: 5.626726150512695
Batch: 6, Loss: 5.662114143371582
Batch: 7, Loss: 5.655685901641846
Batch: 8, Loss: 6.369439125061035
Batch: 9, Loss: 6.223626613616943
Batch: 10, Loss: 6.12278938293457
Batch: 11, Loss: 5.699849605560303
Batch: 12, Loss: 6.3978471755981445
Batch: 13, Loss: 5.5908355712890625
Batch: 14, Loss: 6.052530765533447

Epoch 462 out of 2000Batch: 1, Loss: 6.264981746673584
Batch: 2, Loss: 5.935624122619629
Batch: 3, Loss: 5.988637924194336
Batch: 4, Loss: 5.733364582061768
Batch: 5, Loss: 5.609567165374756
Batch: 6, Loss: 6.069508075714111
Batch: 7, Loss: 5.7643280029296875
Batch: 8, Loss: 5.84758996963501
Batch: 9, Loss: 6.16614294052124
Batch: 10, Loss: 5.769698619842529
Batch: 11, Loss: 6.019193172454834
Batch: 12, Loss: 5.918635845184326
Batch: 13, Loss: 5.750339031219482
Batch: 14, Loss: 6.02398157119751

Epoch 463 out of 2000Batch: 1, Loss: 5.105941295623779
Batch: 2, Loss: 5.238357067108154
Batch: 3, Loss: 5.2607502937316895
Batch: 4, Loss: 4.762641906738281
Batch: 5, Loss: 5.20725679397583
Batch: 6, Loss: 4.951826095581055
Batch: 7, Loss: 5.1440277099609375
Batch: 8, Loss: 4.907103061676025
Batch: 9, Loss: 4.517181396484375
Batch: 10, Loss: 5.020882606506348
Batch: 11, Loss: 4.966053485870361
Batch: 12, Loss: 5.107100486755371
Batch: 13, Loss: 5.132613182067871
Batch: 14, Loss: 5.026737689971924

Epoch 464 out of 2000Batch: 1, Loss: 5.7620062828063965
Batch: 2, Loss: 5.919436454772949
Batch: 3, Loss: 5.963271141052246
Batch: 4, Loss: 5.8650288581848145
Batch: 5, Loss: 5.732022762298584
Batch: 6, Loss: 6.491271018981934
Batch: 7, Loss: 6.15376091003418
Batch: 8, Loss: 6.525380611419678
Batch: 9, Loss: 5.662942409515381
Batch: 10, Loss: 5.734951019287109
Batch: 11, Loss: 5.880282402038574
Batch: 12, Loss: 6.207494258880615
Batch: 13, Loss: 5.978732585906982
Batch: 14, Loss: 5.668666839599609

Epoch 465 out of 2000Batch: 1, Loss: 5.67464542388916
Batch: 2, Loss: 5.646324157714844
Batch: 3, Loss: 6.40808629989624
Batch: 4, Loss: 5.590791702270508
Batch: 5, Loss: 6.122974872589111
Batch: 6, Loss: 6.107681751251221
Batch: 7, Loss: 5.952367305755615
Batch: 8, Loss: 5.949766159057617
Batch: 9, Loss: 5.94257926940918
Batch: 10, Loss: 6.296700954437256
Batch: 11, Loss: 5.61600923538208
Batch: 12, Loss: 5.905226707458496
Batch: 13, Loss: 5.7342424392700195
Batch: 14, Loss: 6.139452934265137

Epoch 466 out of 2000Batch: 1, Loss: 5.270349979400635
Batch: 2, Loss: 5.25606632232666
Batch: 3, Loss: 5.4423604011535645
Batch: 4, Loss: 5.493724346160889
Batch: 5, Loss: 5.092263221740723
Batch: 6, Loss: 5.131801605224609
Batch: 7, Loss: 5.239863872528076
Batch: 8, Loss: 5.240200996398926
Batch: 9, Loss: 5.109029293060303
Batch: 10, Loss: 4.867771625518799
Batch: 11, Loss: 4.994202613830566
Batch: 12, Loss: 5.147860050201416
Batch: 13, Loss: 4.965677738189697
Batch: 14, Loss: 5.054660320281982

Epoch 467 out of 2000Batch: 1, Loss: 6.0699992179870605
Batch: 2, Loss: 6.901132106781006
Batch: 3, Loss: 5.643496990203857
Batch: 4, Loss: 6.5296149253845215
Batch: 5, Loss: 6.189425945281982
Batch: 6, Loss: 6.425334453582764
Batch: 7, Loss: 6.150816440582275
Batch: 8, Loss: 5.870169162750244
Batch: 9, Loss: 6.209481716156006
Batch: 10, Loss: 5.86587381362915
Batch: 11, Loss: 6.29052734375
Batch: 12, Loss: 5.98495626449585
Batch: 13, Loss: 5.862499237060547
Batch: 14, Loss: 6.39422082901001

Epoch 468 out of 2000Batch: 1, Loss: 5.405116081237793
Batch: 2, Loss: 5.4115519523620605
Batch: 3, Loss: 5.4003119468688965
Batch: 4, Loss: 5.380474090576172
Batch: 5, Loss: 5.717273712158203
Batch: 6, Loss: 5.527074337005615
Batch: 7, Loss: 5.344181060791016
Batch: 8, Loss: 5.651633262634277
Batch: 9, Loss: 5.552814960479736
Batch: 10, Loss: 5.5733866691589355
Batch: 11, Loss: 5.5057525634765625
Batch: 12, Loss: 5.4866838455200195
Batch: 13, Loss: 5.3108954429626465
Batch: 14, Loss: 5.325596332550049

Epoch 469 out of 2000Batch: 1, Loss: 5.63240909576416
Batch: 2, Loss: 5.819620132446289
Batch: 3, Loss: 5.683133602142334
Batch: 4, Loss: 5.620606422424316
Batch: 5, Loss: 5.412617206573486
Batch: 6, Loss: 5.444284439086914
Batch: 7, Loss: 5.913567543029785
Batch: 8, Loss: 5.883608818054199
Batch: 9, Loss: 5.680523872375488
Batch: 10, Loss: 5.457033634185791
Batch: 11, Loss: 5.663841724395752
Batch: 12, Loss: 5.671159267425537
Batch: 13, Loss: 5.783632755279541
Batch: 14, Loss: 5.527418613433838

Epoch 470 out of 2000Batch: 1, Loss: 5.704381465911865
Batch: 2, Loss: 5.5835490226745605
Batch: 3, Loss: 5.505544662475586
Batch: 4, Loss: 5.533302307128906
Batch: 5, Loss: 5.907543182373047
Batch: 6, Loss: 5.70067024230957
Batch: 7, Loss: 5.717090606689453
Batch: 8, Loss: 5.708680152893066
Batch: 9, Loss: 5.539024353027344
Batch: 10, Loss: 5.5070953369140625
Batch: 11, Loss: 5.9587178230285645
Batch: 12, Loss: 5.759513854980469
Batch: 13, Loss: 5.904402256011963
Batch: 14, Loss: 5.502877235412598

Epoch 471 out of 2000Batch: 1, Loss: 5.962054252624512
Batch: 2, Loss: 5.998414993286133
Batch: 3, Loss: 5.590921401977539
Batch: 4, Loss: 5.836122035980225
Batch: 5, Loss: 5.784236907958984
Batch: 6, Loss: 6.858240604400635
Batch: 7, Loss: 6.6966166496276855
Batch: 8, Loss: 6.2018656730651855
Batch: 9, Loss: 5.993535041809082
Batch: 10, Loss: 5.969810962677002
Batch: 11, Loss: 6.006422996520996
Batch: 12, Loss: 6.106375217437744
Batch: 13, Loss: 5.982336044311523
Batch: 14, Loss: 5.7792205810546875

Epoch 472 out of 2000Batch: 1, Loss: 5.787004470825195
Batch: 2, Loss: 5.8530144691467285
Batch: 3, Loss: 6.091983318328857
Batch: 4, Loss: 5.604056358337402
Batch: 5, Loss: 6.260303974151611
Batch: 6, Loss: 6.019810676574707
Batch: 7, Loss: 6.161585807800293
Batch: 8, Loss: 6.340684413909912
Batch: 9, Loss: 6.066418647766113
Batch: 10, Loss: 6.0899834632873535
Batch: 11, Loss: 6.075879096984863
Batch: 12, Loss: 6.103383541107178
Batch: 13, Loss: 6.113970756530762
Batch: 14, Loss: 5.427964687347412

Epoch 473 out of 2000Batch: 1, Loss: 6.242098331451416
Batch: 2, Loss: 6.138911247253418
Batch: 3, Loss: 6.139648914337158
Batch: 4, Loss: 6.547844886779785
Batch: 5, Loss: 6.1142258644104
Batch: 6, Loss: 6.531327247619629
Batch: 7, Loss: 6.088603496551514
Batch: 8, Loss: 6.137972354888916
Batch: 9, Loss: 6.245733737945557
Batch: 10, Loss: 6.288531303405762
Batch: 11, Loss: 5.795413017272949
Batch: 12, Loss: 6.030146598815918
Batch: 13, Loss: 6.030254364013672
Batch: 14, Loss: 6.302173614501953

Epoch 474 out of 2000Batch: 1, Loss: 6.36328125
Batch: 2, Loss: 6.5806403160095215
Batch: 3, Loss: 5.862834453582764
Batch: 4, Loss: 5.868362903594971
Batch: 5, Loss: 6.5562896728515625
Batch: 6, Loss: 6.000396251678467
Batch: 7, Loss: 6.093801021575928
Batch: 8, Loss: 5.861400127410889
Batch: 9, Loss: 6.076196193695068
Batch: 10, Loss: 6.078355312347412
Batch: 11, Loss: 6.1947102546691895
Batch: 12, Loss: 6.03807258605957
Batch: 13, Loss: 5.625533103942871
Batch: 14, Loss: 6.4122538566589355

Epoch 475 out of 2000Batch: 1, Loss: 6.274751663208008
Batch: 2, Loss: 6.312690258026123
Batch: 3, Loss: 6.307005882263184
Batch: 4, Loss: 6.216411590576172
Batch: 5, Loss: 6.434408187866211
Batch: 6, Loss: 6.244115829467773
Batch: 7, Loss: 6.581914901733398
Batch: 8, Loss: 6.270275592803955
Batch: 9, Loss: 6.030022621154785
Batch: 10, Loss: 6.628009796142578
Batch: 11, Loss: 6.476901054382324
Batch: 12, Loss: 5.425714015960693
Batch: 13, Loss: 6.35447359085083
Batch: 14, Loss: 5.761634349822998

Epoch 476 out of 2000Batch: 1, Loss: 6.547360897064209
Batch: 2, Loss: 6.477494716644287
Batch: 3, Loss: 6.356517791748047
Batch: 4, Loss: 6.065014362335205
Batch: 5, Loss: 6.138762950897217
Batch: 6, Loss: 6.7223310470581055
Batch: 7, Loss: 6.420919895172119
Batch: 8, Loss: 6.374426364898682
Batch: 9, Loss: 6.220038414001465
Batch: 10, Loss: 6.208709716796875
Batch: 11, Loss: 6.122014045715332
Batch: 12, Loss: 6.062621593475342
Batch: 13, Loss: 5.897277355194092
Batch: 14, Loss: 6.062980651855469

Epoch 477 out of 2000Batch: 1, Loss: 6.150577068328857
Batch: 2, Loss: 6.6150736808776855
Batch: 3, Loss: 6.307132244110107
Batch: 4, Loss: 6.471670627593994
Batch: 5, Loss: 6.10316276550293
Batch: 6, Loss: 6.933599472045898
Batch: 7, Loss: 6.460543155670166
Batch: 8, Loss: 6.430073261260986
Batch: 9, Loss: 6.482725620269775
Batch: 10, Loss: 6.671982288360596
Batch: 11, Loss: 6.6890788078308105
Batch: 12, Loss: 6.634863376617432
Batch: 13, Loss: 6.130514144897461
Batch: 14, Loss: 6.27373743057251

Epoch 478 out of 2000Batch: 1, Loss: 5.360954761505127
Batch: 2, Loss: 5.574552536010742
Batch: 3, Loss: 5.192751884460449
Batch: 4, Loss: 5.5280256271362305
Batch: 5, Loss: 5.630294322967529
Batch: 6, Loss: 5.42405891418457
Batch: 7, Loss: 5.668022155761719
Batch: 8, Loss: 5.0892133712768555
Batch: 9, Loss: 5.0090651512146
Batch: 10, Loss: 5.1367363929748535
Batch: 11, Loss: 5.224803924560547
Batch: 12, Loss: 5.2060675621032715
Batch: 13, Loss: 5.374790668487549
Batch: 14, Loss: 5.23015832901001

Epoch 479 out of 2000Batch: 1, Loss: 5.978699684143066
Batch: 2, Loss: 6.1917195320129395
Batch: 3, Loss: 6.156115531921387
Batch: 4, Loss: 5.9258904457092285
Batch: 5, Loss: 5.6731367111206055
Batch: 6, Loss: 5.8517842292785645
Batch: 7, Loss: 5.53738260269165
Batch: 8, Loss: 5.283552646636963
Batch: 9, Loss: 5.812676906585693
Batch: 10, Loss: 6.040162563323975
Batch: 11, Loss: 6.0909295082092285
Batch: 12, Loss: 5.886924743652344
Batch: 13, Loss: 6.196680545806885
Batch: 14, Loss: 6.027700901031494

Epoch 480 out of 2000Batch: 1, Loss: 6.96925163269043
Batch: 2, Loss: 6.347670078277588
Batch: 3, Loss: 6.247224807739258
Batch: 4, Loss: 6.930041790008545
Batch: 5, Loss: 6.729760646820068
Batch: 6, Loss: 6.352646827697754
Batch: 7, Loss: 6.999544620513916
Batch: 8, Loss: 6.678718566894531
Batch: 9, Loss: 6.495360851287842
Batch: 10, Loss: 5.7966413497924805
Batch: 11, Loss: 6.725534915924072
Batch: 12, Loss: 5.939310073852539
Batch: 13, Loss: 6.058913707733154
Batch: 14, Loss: 7.161846160888672

Epoch 481 out of 2000Batch: 1, Loss: 5.853235244750977
Batch: 2, Loss: 5.396583557128906
Batch: 3, Loss: 5.425017356872559
Batch: 4, Loss: 6.119396686553955
Batch: 5, Loss: 5.6266608238220215
Batch: 6, Loss: 6.130516529083252
Batch: 7, Loss: 5.695242404937744
Batch: 8, Loss: 5.939915657043457
Batch: 9, Loss: 6.153570175170898
Batch: 10, Loss: 5.5592217445373535
Batch: 11, Loss: 6.271595001220703
Batch: 12, Loss: 5.964322566986084
Batch: 13, Loss: 5.770760536193848
Batch: 14, Loss: 6.005414962768555

Epoch 482 out of 2000Batch: 1, Loss: 5.307308673858643
Batch: 2, Loss: 5.604735374450684
Batch: 3, Loss: 5.558071613311768
Batch: 4, Loss: 5.894355297088623
Batch: 5, Loss: 5.630678653717041
Batch: 6, Loss: 5.598701477050781
Batch: 7, Loss: 5.646695613861084
Batch: 8, Loss: 5.423144340515137
Batch: 9, Loss: 5.502046585083008
Batch: 10, Loss: 5.893796920776367
Batch: 11, Loss: 5.38901424407959
Batch: 12, Loss: 5.470700740814209
Batch: 13, Loss: 5.519895553588867
Batch: 14, Loss: 5.812921524047852

Epoch 483 out of 2000Batch: 1, Loss: 6.08014440536499
Batch: 2, Loss: 6.5014142990112305
Batch: 3, Loss: 6.1080121994018555
Batch: 4, Loss: 5.837980270385742
Batch: 5, Loss: 5.9354634284973145
Batch: 6, Loss: 6.312504291534424
Batch: 7, Loss: 6.198395252227783
Batch: 8, Loss: 6.3636088371276855
Batch: 9, Loss: 5.677748680114746
Batch: 10, Loss: 6.532900333404541
Batch: 11, Loss: 5.8925557136535645
Batch: 12, Loss: 6.227278232574463
Batch: 13, Loss: 6.114893436431885
Batch: 14, Loss: 5.647444725036621

Epoch 484 out of 2000Batch: 1, Loss: 5.096097469329834
Batch: 2, Loss: 5.604482173919678
Batch: 3, Loss: 5.322574138641357
Batch: 4, Loss: 5.104668617248535
Batch: 5, Loss: 5.403289794921875
Batch: 6, Loss: 5.31994104385376
Batch: 7, Loss: 5.512260437011719
Batch: 8, Loss: 5.075375556945801
Batch: 9, Loss: 5.300378322601318
Batch: 10, Loss: 5.783275127410889
Batch: 11, Loss: 5.45010232925415
Batch: 12, Loss: 4.8463640213012695
Batch: 13, Loss: 5.43632698059082
Batch: 14, Loss: 5.028130531311035

Epoch 485 out of 2000Batch: 1, Loss: 6.539859771728516
Batch: 2, Loss: 6.747400760650635
Batch: 3, Loss: 6.883779048919678
Batch: 4, Loss: 6.219616413116455
Batch: 5, Loss: 6.198395252227783
Batch: 6, Loss: 6.472382545471191
Batch: 7, Loss: 6.30136775970459
Batch: 8, Loss: 5.436488151550293
Batch: 9, Loss: 5.9221577644348145
Batch: 10, Loss: 6.381504535675049
Batch: 11, Loss: 6.00991678237915
Batch: 12, Loss: 5.769345283508301
Batch: 13, Loss: 6.326989650726318
Batch: 14, Loss: 5.979447364807129

Epoch 486 out of 2000Batch: 1, Loss: 5.963550090789795
Batch: 2, Loss: 6.132993698120117
Batch: 3, Loss: 6.25782585144043
Batch: 4, Loss: 5.694079399108887
Batch: 5, Loss: 5.581076145172119
Batch: 6, Loss: 5.993571758270264
Batch: 7, Loss: 5.912632465362549
Batch: 8, Loss: 6.178534030914307
Batch: 9, Loss: 5.954312801361084
Batch: 10, Loss: 5.652832984924316
Batch: 11, Loss: 6.082117080688477
Batch: 12, Loss: 6.0743327140808105
Batch: 13, Loss: 6.277016639709473
Batch: 14, Loss: 6.069123268127441

Epoch 487 out of 2000Batch: 1, Loss: 5.682156085968018
Batch: 2, Loss: 5.6862592697143555
Batch: 3, Loss: 5.687232971191406
Batch: 4, Loss: 5.18829345703125
Batch: 5, Loss: 5.731784343719482
Batch: 6, Loss: 5.208097457885742
Batch: 7, Loss: 5.258944988250732
Batch: 8, Loss: 5.6771240234375
Batch: 9, Loss: 5.0341081619262695
Batch: 10, Loss: 5.8533525466918945
Batch: 11, Loss: 5.766114711761475
Batch: 12, Loss: 5.903116703033447
Batch: 13, Loss: 5.810648441314697
Batch: 14, Loss: 5.807363033294678

Epoch 488 out of 2000Batch: 1, Loss: 6.256847381591797
Batch: 2, Loss: 5.858737468719482
Batch: 3, Loss: 6.1175665855407715
Batch: 4, Loss: 6.113489627838135
Batch: 5, Loss: 5.98553991317749
Batch: 6, Loss: 5.727423191070557
Batch: 7, Loss: 6.296887397766113
Batch: 8, Loss: 6.09637975692749
Batch: 9, Loss: 6.465222358703613
Batch: 10, Loss: 6.016124248504639
Batch: 11, Loss: 5.986445903778076
Batch: 12, Loss: 5.803692817687988
Batch: 13, Loss: 5.8861002922058105
Batch: 14, Loss: 5.660688400268555

Epoch 489 out of 2000Batch: 1, Loss: 5.995018482208252
Batch: 2, Loss: 6.254567623138428
Batch: 3, Loss: 5.905539512634277
Batch: 4, Loss: 6.405676364898682
Batch: 5, Loss: 5.902154445648193
Batch: 6, Loss: 5.9660964012146
Batch: 7, Loss: 6.094235420227051
Batch: 8, Loss: 6.098005294799805
Batch: 9, Loss: 5.803706169128418
Batch: 10, Loss: 5.486989498138428
Batch: 11, Loss: 5.976718425750732
Batch: 12, Loss: 6.234269142150879
Batch: 13, Loss: 6.317226886749268
Batch: 14, Loss: 6.5855302810668945

Epoch 490 out of 2000Batch: 1, Loss: 5.862066268920898
Batch: 2, Loss: 5.379963397979736
Batch: 3, Loss: 5.469029426574707
Batch: 4, Loss: 5.63008975982666
Batch: 5, Loss: 5.734610557556152
Batch: 6, Loss: 5.810851097106934
Batch: 7, Loss: 5.598195552825928
Batch: 8, Loss: 5.53774881362915
Batch: 9, Loss: 5.277714729309082
Batch: 10, Loss: 5.357046127319336
Batch: 11, Loss: 5.485593318939209
Batch: 12, Loss: 5.122921466827393
Batch: 13, Loss: 5.501323223114014
Batch: 14, Loss: 5.495598793029785

Epoch 491 out of 2000Batch: 1, Loss: 6.215197563171387
Batch: 2, Loss: 5.574450969696045
Batch: 3, Loss: 6.098392486572266
Batch: 4, Loss: 6.637259006500244
Batch: 5, Loss: 6.146879196166992
Batch: 6, Loss: 5.691765308380127
Batch: 7, Loss: 5.477046012878418
Batch: 8, Loss: 6.476113319396973
Batch: 9, Loss: 6.192553520202637
Batch: 10, Loss: 6.216005802154541
Batch: 11, Loss: 6.082345008850098
Batch: 12, Loss: 5.669342517852783
Batch: 13, Loss: 6.468742847442627
Batch: 14, Loss: 6.534666538238525

Epoch 492 out of 2000Batch: 1, Loss: 6.142585277557373
Batch: 2, Loss: 5.80636739730835
Batch: 3, Loss: 6.342708587646484
Batch: 4, Loss: 5.95483922958374
Batch: 5, Loss: 5.842907428741455
Batch: 6, Loss: 5.3894877433776855
Batch: 7, Loss: 5.852656841278076
Batch: 8, Loss: 5.687258243560791
Batch: 9, Loss: 6.044281005859375
Batch: 10, Loss: 5.79214334487915
Batch: 11, Loss: 6.056955337524414
Batch: 12, Loss: 6.070428371429443
Batch: 13, Loss: 6.0106120109558105
Batch: 14, Loss: 5.519948482513428

Epoch 493 out of 2000Batch: 1, Loss: 5.6835174560546875
Batch: 2, Loss: 5.448143482208252
Batch: 3, Loss: 5.582542896270752
Batch: 4, Loss: 5.7412238121032715
Batch: 5, Loss: 5.977691650390625
Batch: 6, Loss: 5.879485607147217
Batch: 7, Loss: 5.679040431976318
Batch: 8, Loss: 6.0516252517700195
Batch: 9, Loss: 5.687738418579102
Batch: 10, Loss: 5.508952617645264
Batch: 11, Loss: 5.444471836090088
Batch: 12, Loss: 5.435596466064453
Batch: 13, Loss: 5.460504055023193
Batch: 14, Loss: 6.082280158996582

Epoch 494 out of 2000Batch: 1, Loss: 6.879542827606201
Batch: 2, Loss: 6.412993431091309
Batch: 3, Loss: 6.531170845031738
Batch: 4, Loss: 6.233915328979492
Batch: 5, Loss: 6.44475793838501
Batch: 6, Loss: 7.229199409484863
Batch: 7, Loss: 6.096863269805908
Batch: 8, Loss: 5.9738264083862305
Batch: 9, Loss: 6.694521903991699
Batch: 10, Loss: 6.546294212341309
Batch: 11, Loss: 6.669960021972656
Batch: 12, Loss: 6.432519435882568
Batch: 13, Loss: 6.2994585037231445
Batch: 14, Loss: 6.899623870849609

Epoch 495 out of 2000Batch: 1, Loss: 5.48663854598999
Batch: 2, Loss: 5.338741779327393
Batch: 3, Loss: 5.736478805541992
Batch: 4, Loss: 5.260861873626709
Batch: 5, Loss: 5.255410671234131
Batch: 6, Loss: 5.040177345275879
Batch: 7, Loss: 4.910285472869873
Batch: 8, Loss: 5.293686866760254
Batch: 9, Loss: 4.760456562042236
Batch: 10, Loss: 5.534473896026611
Batch: 11, Loss: 5.339016914367676
Batch: 12, Loss: 4.915372848510742
Batch: 13, Loss: 5.106940269470215
Batch: 14, Loss: 5.42798376083374

Epoch 496 out of 2000Batch: 1, Loss: 6.734766483306885
Batch: 2, Loss: 7.113980770111084
Batch: 3, Loss: 6.850858211517334
Batch: 4, Loss: 7.147796630859375
Batch: 5, Loss: 6.437115669250488
Batch: 6, Loss: 6.77738094329834
Batch: 7, Loss: 6.8059539794921875
Batch: 8, Loss: 6.078494548797607
Batch: 9, Loss: 6.4602460861206055
Batch: 10, Loss: 6.757871150970459
Batch: 11, Loss: 6.745099067687988
Batch: 12, Loss: 6.1953654289245605
Batch: 13, Loss: 6.61250114440918
Batch: 14, Loss: 7.168570518493652

Epoch 497 out of 2000Batch: 1, Loss: 5.366969585418701
Batch: 2, Loss: 5.703503131866455
Batch: 3, Loss: 6.010458469390869
Batch: 4, Loss: 5.606626510620117
Batch: 5, Loss: 5.65743350982666
Batch: 6, Loss: 5.270315170288086
Batch: 7, Loss: 5.466095924377441
Batch: 8, Loss: 5.621584892272949
Batch: 9, Loss: 4.9726057052612305
Batch: 10, Loss: 5.238304138183594
Batch: 11, Loss: 5.201136112213135
Batch: 12, Loss: 5.4845781326293945
Batch: 13, Loss: 5.354432106018066
Batch: 14, Loss: 4.718725204467773

Epoch 498 out of 2000Batch: 1, Loss: 6.079885482788086
Batch: 2, Loss: 5.8382954597473145
Batch: 3, Loss: 6.089205741882324
Batch: 4, Loss: 5.250120639801025
Batch: 5, Loss: 6.009406566619873
Batch: 6, Loss: 6.040940761566162
Batch: 7, Loss: 5.827981472015381
Batch: 8, Loss: 5.831172943115234
Batch: 9, Loss: 6.192168712615967
Batch: 10, Loss: 5.782825946807861
Batch: 11, Loss: 5.317796230316162
Batch: 12, Loss: 5.875903606414795
Batch: 13, Loss: 5.823526859283447
Batch: 14, Loss: 5.4279465675354

Epoch 499 out of 2000Batch: 1, Loss: 5.819517135620117
Batch: 2, Loss: 5.701234340667725
Batch: 3, Loss: 5.388160228729248
Batch: 4, Loss: 5.997677326202393
Batch: 5, Loss: 6.009047031402588
Batch: 6, Loss: 5.8401970863342285
Batch: 7, Loss: 6.324034690856934
Batch: 8, Loss: 5.748155117034912
Batch: 9, Loss: 5.912765026092529
Batch: 10, Loss: 6.070755481719971
Batch: 11, Loss: 5.730475425720215
Batch: 12, Loss: 5.756464004516602
Batch: 13, Loss: 5.521943092346191
Batch: 14, Loss: 5.891611099243164

Epoch 500 out of 2000Batch: 1, Loss: 5.442747116088867
Batch: 2, Loss: 5.197453022003174
Batch: 3, Loss: 5.546199321746826
Batch: 4, Loss: 5.27703332901001
Batch: 5, Loss: 5.400517463684082
Batch: 6, Loss: 5.478951930999756
Batch: 7, Loss: 5.46390438079834
Batch: 8, Loss: 5.368248462677002
Batch: 9, Loss: 5.157965660095215
Batch: 10, Loss: 4.925196170806885
Batch: 11, Loss: 5.301027297973633
Batch: 12, Loss: 5.37390661239624
Batch: 13, Loss: 5.123255252838135
Batch: 14, Loss: 5.663106441497803

Epoch 501 out of 2000Batch: 1, Loss: 5.7330169677734375
Batch: 2, Loss: 5.992358207702637
Batch: 3, Loss: 6.584390640258789
Batch: 4, Loss: 6.265012264251709
Batch: 5, Loss: 5.496825695037842
Batch: 6, Loss: 5.683557033538818
Batch: 7, Loss: 6.035971641540527
Batch: 8, Loss: 5.53604793548584
Batch: 9, Loss: 6.167540073394775
Batch: 10, Loss: 5.502661228179932
Batch: 11, Loss: 5.261768817901611
Batch: 12, Loss: 5.787073612213135
Batch: 13, Loss: 5.549295902252197
Batch: 14, Loss: 5.882310390472412

Epoch 502 out of 2000Batch: 1, Loss: 6.018860340118408
Batch: 2, Loss: 6.2101054191589355
Batch: 3, Loss: 6.207025527954102
Batch: 4, Loss: 5.721263408660889
Batch: 5, Loss: 6.052577972412109
Batch: 6, Loss: 6.070676326751709
Batch: 7, Loss: 5.470888137817383
Batch: 8, Loss: 5.575493335723877
Batch: 9, Loss: 5.879487991333008
Batch: 10, Loss: 5.457858562469482
Batch: 11, Loss: 5.7980756759643555
Batch: 12, Loss: 6.054836273193359
Batch: 13, Loss: 6.074225425720215
Batch: 14, Loss: 5.764894485473633

Epoch 503 out of 2000Batch: 1, Loss: 6.290455341339111
Batch: 2, Loss: 6.0887956619262695
Batch: 3, Loss: 5.753958702087402
Batch: 4, Loss: 5.744439601898193
Batch: 5, Loss: 6.0848798751831055
Batch: 6, Loss: 5.710728168487549
Batch: 7, Loss: 6.050792217254639
Batch: 8, Loss: 6.012927055358887
Batch: 9, Loss: 5.858386516571045
Batch: 10, Loss: 6.23600435256958
Batch: 11, Loss: 6.153271675109863
Batch: 12, Loss: 5.921295642852783
Batch: 13, Loss: 5.868037700653076
Batch: 14, Loss: 5.357116222381592

Epoch 504 out of 2000Batch: 1, Loss: 5.757357597351074
Batch: 2, Loss: 5.6998491287231445
Batch: 3, Loss: 5.695404529571533
Batch: 4, Loss: 5.655636310577393
Batch: 5, Loss: 5.691427707672119
Batch: 6, Loss: 5.462503910064697
Batch: 7, Loss: 5.770312786102295
Batch: 8, Loss: 5.603117942810059
Batch: 9, Loss: 5.28479528427124
Batch: 10, Loss: 5.13975191116333
Batch: 11, Loss: 5.339842319488525
Batch: 12, Loss: 5.478418350219727
Batch: 13, Loss: 5.903973579406738
Batch: 14, Loss: 5.76774263381958

Epoch 505 out of 2000Batch: 1, Loss: 4.86009407043457
Batch: 2, Loss: 5.087463855743408
Batch: 3, Loss: 4.93105411529541
Batch: 4, Loss: 4.8715033531188965
Batch: 5, Loss: 5.2782368659973145
Batch: 6, Loss: 5.111466407775879
Batch: 7, Loss: 4.614907264709473
Batch: 8, Loss: 4.983764171600342
Batch: 9, Loss: 4.915290832519531
Batch: 10, Loss: 4.853354454040527
Batch: 11, Loss: 4.811232566833496
Batch: 12, Loss: 4.689115524291992
Batch: 13, Loss: 4.888914585113525
Batch: 14, Loss: 4.9737348556518555

Epoch 506 out of 2000Batch: 1, Loss: 5.97285270690918
Batch: 2, Loss: 5.703311443328857
Batch: 3, Loss: 6.192498207092285
Batch: 4, Loss: 6.05292272567749
Batch: 5, Loss: 6.178367614746094
Batch: 6, Loss: 6.1950225830078125
Batch: 7, Loss: 6.134032726287842
Batch: 8, Loss: 6.195738792419434
Batch: 9, Loss: 5.409902095794678
Batch: 10, Loss: 6.184776306152344
Batch: 11, Loss: 5.985285758972168
Batch: 12, Loss: 5.8672261238098145
Batch: 13, Loss: 5.8757805824279785
Batch: 14, Loss: 6.274758338928223

Epoch 507 out of 2000Batch: 1, Loss: 5.917481899261475
Batch: 2, Loss: 5.727097034454346
Batch: 3, Loss: 5.629182815551758
Batch: 4, Loss: 6.027010440826416
Batch: 5, Loss: 5.654666423797607
Batch: 6, Loss: 5.902445316314697
Batch: 7, Loss: 5.904385089874268
Batch: 8, Loss: 5.643149375915527
Batch: 9, Loss: 5.382082939147949
Batch: 10, Loss: 5.6219048500061035
Batch: 11, Loss: 6.097733020782471
Batch: 12, Loss: 5.902091979980469
Batch: 13, Loss: 5.716424465179443
Batch: 14, Loss: 5.841710567474365

Epoch 508 out of 2000Batch: 1, Loss: 5.551918983459473
Batch: 2, Loss: 5.620136737823486
Batch: 3, Loss: 5.429009437561035
Batch: 4, Loss: 5.722057342529297
Batch: 5, Loss: 5.4797043800354
Batch: 6, Loss: 5.436527252197266
Batch: 7, Loss: 5.411496162414551
Batch: 8, Loss: 5.398560523986816
Batch: 9, Loss: 5.3386688232421875
Batch: 10, Loss: 5.528787136077881
Batch: 11, Loss: 5.2122111320495605
Batch: 12, Loss: 5.678071022033691
Batch: 13, Loss: 5.617717742919922
Batch: 14, Loss: 5.570770263671875

Epoch 509 out of 2000Batch: 1, Loss: 6.208932876586914
Batch: 2, Loss: 6.501682281494141
Batch: 3, Loss: 6.314931869506836
Batch: 4, Loss: 6.480148792266846
Batch: 5, Loss: 6.408699035644531
Batch: 6, Loss: 6.0930328369140625
Batch: 7, Loss: 6.356483459472656
Batch: 8, Loss: 6.088228225708008
Batch: 9, Loss: 5.692680835723877
Batch: 10, Loss: 6.090145111083984
Batch: 11, Loss: 5.99143648147583
Batch: 12, Loss: 5.6981329917907715
Batch: 13, Loss: 5.864358901977539
Batch: 14, Loss: 6.065271854400635

Epoch 510 out of 2000Batch: 1, Loss: 5.275657653808594
Batch: 2, Loss: 4.881481170654297
Batch: 3, Loss: 5.104830265045166
Batch: 4, Loss: 5.406107425689697
Batch: 5, Loss: 5.494472026824951
Batch: 6, Loss: 5.4519429206848145
Batch: 7, Loss: 5.23567533493042
Batch: 8, Loss: 5.3522491455078125
Batch: 9, Loss: 5.159712791442871
Batch: 10, Loss: 5.313592433929443
Batch: 11, Loss: 5.081357955932617
Batch: 12, Loss: 4.926578521728516
Batch: 13, Loss: 5.09110689163208
Batch: 14, Loss: 4.308294773101807

Epoch 511 out of 2000Batch: 1, Loss: 6.130363941192627
Batch: 2, Loss: 5.952277660369873
Batch: 3, Loss: 5.625789642333984
Batch: 4, Loss: 5.963890552520752
Batch: 5, Loss: 5.824718475341797
Batch: 6, Loss: 6.201533317565918
Batch: 7, Loss: 5.827979564666748
Batch: 8, Loss: 6.336898326873779
Batch: 9, Loss: 6.024582862854004
Batch: 10, Loss: 5.8737311363220215
Batch: 11, Loss: 6.103325843811035
Batch: 12, Loss: 5.947205066680908
Batch: 13, Loss: 5.770175457000732
Batch: 14, Loss: 5.333398342132568

Epoch 512 out of 2000Batch: 1, Loss: 6.324256896972656
Batch: 2, Loss: 5.695165634155273
Batch: 3, Loss: 5.651198863983154
Batch: 4, Loss: 6.0103044509887695
Batch: 5, Loss: 5.774825096130371
Batch: 6, Loss: 5.78348445892334
Batch: 7, Loss: 5.893959999084473
Batch: 8, Loss: 5.719236373901367
Batch: 9, Loss: 5.785317897796631
Batch: 10, Loss: 5.86420202255249
Batch: 11, Loss: 6.145841598510742
Batch: 12, Loss: 5.930535793304443
Batch: 13, Loss: 5.859288215637207
Batch: 14, Loss: 5.7294416427612305

Epoch 513 out of 2000Batch: 1, Loss: 6.218626022338867
Batch: 2, Loss: 5.893637180328369
Batch: 3, Loss: 5.534763813018799
Batch: 4, Loss: 5.951385974884033
Batch: 5, Loss: 6.3640570640563965
Batch: 6, Loss: 5.833519458770752
Batch: 7, Loss: 6.41088342666626
Batch: 8, Loss: 5.708741664886475
Batch: 9, Loss: 6.046897888183594
Batch: 10, Loss: 6.370579242706299
Batch: 11, Loss: 6.117349624633789
Batch: 12, Loss: 5.747625827789307
Batch: 13, Loss: 6.655678749084473
Batch: 14, Loss: 5.5743937492370605

Epoch 514 out of 2000Batch: 1, Loss: 5.8964667320251465
Batch: 2, Loss: 6.330209255218506
Batch: 3, Loss: 6.518986701965332
Batch: 4, Loss: 6.031080722808838
Batch: 5, Loss: 6.358135223388672
Batch: 6, Loss: 5.750443935394287
Batch: 7, Loss: 6.421746730804443
Batch: 8, Loss: 6.504800796508789
Batch: 9, Loss: 6.133391857147217
Batch: 10, Loss: 6.210808277130127
Batch: 11, Loss: 6.782436847686768
Batch: 12, Loss: 6.645997524261475
Batch: 13, Loss: 6.390284538269043
Batch: 14, Loss: 5.616170406341553

Epoch 515 out of 2000Batch: 1, Loss: 6.505448341369629
Batch: 2, Loss: 6.325143814086914
Batch: 3, Loss: 6.200325012207031
Batch: 4, Loss: 6.894192218780518
Batch: 5, Loss: 6.727398872375488
Batch: 6, Loss: 6.687291145324707
Batch: 7, Loss: 6.39409065246582
Batch: 8, Loss: 6.762973308563232
Batch: 9, Loss: 5.997961044311523
Batch: 10, Loss: 6.273165225982666
Batch: 11, Loss: 6.123050689697266
Batch: 12, Loss: 6.812450408935547
Batch: 13, Loss: 6.798834323883057
Batch: 14, Loss: 6.2543840408325195

Epoch 516 out of 2000Batch: 1, Loss: 6.18669319152832
Batch: 2, Loss: 6.147645950317383
Batch: 3, Loss: 6.676891803741455
Batch: 4, Loss: 5.9160637855529785
Batch: 5, Loss: 6.717223644256592
Batch: 6, Loss: 6.959438800811768
Batch: 7, Loss: 6.867419719696045
Batch: 8, Loss: 6.839083194732666
Batch: 9, Loss: 6.495459079742432
Batch: 10, Loss: 6.619525909423828
Batch: 11, Loss: 6.041380405426025
Batch: 12, Loss: 6.164886951446533
Batch: 13, Loss: 6.588217735290527
Batch: 14, Loss: 6.7906999588012695

Epoch 517 out of 2000Batch: 1, Loss: 5.829649448394775
Batch: 2, Loss: 5.748498916625977
Batch: 3, Loss: 5.865637302398682
Batch: 4, Loss: 5.925655841827393
Batch: 5, Loss: 5.841175556182861
Batch: 6, Loss: 5.559215068817139
Batch: 7, Loss: 5.6989336013793945
Batch: 8, Loss: 5.9402875900268555
Batch: 9, Loss: 6.161898136138916
Batch: 10, Loss: 6.057880401611328
Batch: 11, Loss: 5.599215030670166
Batch: 12, Loss: 5.688216686248779
Batch: 13, Loss: 5.741203308105469
Batch: 14, Loss: 5.698338031768799

Epoch 518 out of 2000Batch: 1, Loss: 5.901401519775391
Batch: 2, Loss: 5.920101165771484
Batch: 3, Loss: 5.740273475646973
Batch: 4, Loss: 5.692389011383057
Batch: 5, Loss: 5.906104564666748
Batch: 6, Loss: 5.709967136383057
Batch: 7, Loss: 5.587582111358643
Batch: 8, Loss: 5.82042121887207
Batch: 9, Loss: 5.620731353759766
Batch: 10, Loss: 5.480815410614014
Batch: 11, Loss: 5.794827938079834
Batch: 12, Loss: 5.235520362854004
Batch: 13, Loss: 5.548342704772949
Batch: 14, Loss: 5.639951229095459

Epoch 519 out of 2000Batch: 1, Loss: 5.148611068725586
Batch: 2, Loss: 5.090697765350342
Batch: 3, Loss: 5.099758148193359
Batch: 4, Loss: 4.900274276733398
Batch: 5, Loss: 4.893294811248779
Batch: 6, Loss: 5.229269504547119
Batch: 7, Loss: 4.466952323913574
Batch: 8, Loss: 4.883889675140381
Batch: 9, Loss: 5.004372596740723
Batch: 10, Loss: 4.56166410446167
Batch: 11, Loss: 4.811614036560059
Batch: 12, Loss: 4.878990173339844
Batch: 13, Loss: 4.538070201873779
Batch: 14, Loss: 4.381196022033691

Epoch 520 out of 2000Batch: 1, Loss: 6.374063491821289
Batch: 2, Loss: 6.520355224609375
Batch: 3, Loss: 6.164231777191162
Batch: 4, Loss: 6.060349464416504
Batch: 5, Loss: 6.482426166534424
Batch: 6, Loss: 6.734235763549805
Batch: 7, Loss: 6.354161262512207
Batch: 8, Loss: 6.31767463684082
Batch: 9, Loss: 6.448653221130371
Batch: 10, Loss: 6.6198410987854
Batch: 11, Loss: 6.463001728057861
Batch: 12, Loss: 5.824646949768066
Batch: 13, Loss: 6.174593448638916
Batch: 14, Loss: 6.083116054534912

Epoch 521 out of 2000Batch: 1, Loss: 6.10634708404541
Batch: 2, Loss: 6.959300518035889
Batch: 3, Loss: 6.427135467529297
Batch: 4, Loss: 6.786877155303955
Batch: 5, Loss: 6.774578094482422
Batch: 6, Loss: 6.557140350341797
Batch: 7, Loss: 6.544498443603516
Batch: 8, Loss: 5.940366744995117
Batch: 9, Loss: 5.87338399887085
Batch: 10, Loss: 6.224164962768555
Batch: 11, Loss: 6.25552225112915
Batch: 12, Loss: 6.213825225830078
Batch: 13, Loss: 6.496042728424072
Batch: 14, Loss: 6.194899082183838

Epoch 522 out of 2000Batch: 1, Loss: 5.207699298858643
Batch: 2, Loss: 5.2481513023376465
Batch: 3, Loss: 5.168794631958008
Batch: 4, Loss: 5.238289833068848
Batch: 5, Loss: 4.446088790893555
Batch: 6, Loss: 5.079464912414551
Batch: 7, Loss: 4.894270420074463
Batch: 8, Loss: 4.716748237609863
Batch: 9, Loss: 5.15394926071167
Batch: 10, Loss: 5.087296009063721
Batch: 11, Loss: 4.945740222930908
Batch: 12, Loss: 4.49342679977417
Batch: 13, Loss: 4.812150955200195
Batch: 14, Loss: 4.728598594665527

Epoch 523 out of 2000Batch: 1, Loss: 6.577917098999023
Batch: 2, Loss: 5.892651081085205
Batch: 3, Loss: 6.090656280517578
Batch: 4, Loss: 6.897214412689209
Batch: 5, Loss: 6.02932596206665
Batch: 6, Loss: 6.194932460784912
Batch: 7, Loss: 5.918510437011719
Batch: 8, Loss: 6.477011203765869
Batch: 9, Loss: 6.417201042175293
Batch: 10, Loss: 6.252725601196289
Batch: 11, Loss: 6.253893852233887
Batch: 12, Loss: 5.746428966522217
Batch: 13, Loss: 6.485270977020264
Batch: 14, Loss: 5.725209712982178

Epoch 524 out of 2000Batch: 1, Loss: 5.866750717163086
Batch: 2, Loss: 5.531905174255371
Batch: 3, Loss: 5.687079906463623
Batch: 4, Loss: 6.09739351272583
Batch: 5, Loss: 5.498537063598633
Batch: 6, Loss: 5.561077117919922
Batch: 7, Loss: 5.442647457122803
Batch: 8, Loss: 5.681532382965088
Batch: 9, Loss: 5.666425704956055
Batch: 10, Loss: 5.6975579261779785
Batch: 11, Loss: 5.510821342468262
Batch: 12, Loss: 5.588761329650879
Batch: 13, Loss: 5.512374401092529
Batch: 14, Loss: 5.262657642364502

Epoch 525 out of 2000Batch: 1, Loss: 6.431308746337891
Batch: 2, Loss: 6.353240013122559
Batch: 3, Loss: 6.740039825439453
Batch: 4, Loss: 5.718493938446045
Batch: 5, Loss: 6.308302402496338
Batch: 6, Loss: 5.786135673522949
Batch: 7, Loss: 5.9359331130981445
Batch: 8, Loss: 6.016777038574219
Batch: 9, Loss: 6.132307052612305
Batch: 10, Loss: 6.394058704376221
Batch: 11, Loss: 6.6322174072265625
Batch: 12, Loss: 6.457643985748291
Batch: 13, Loss: 5.871933460235596
Batch: 14, Loss: 5.988241672515869

Epoch 526 out of 2000Batch: 1, Loss: 5.353771209716797
Batch: 2, Loss: 5.7556023597717285
Batch: 3, Loss: 5.625489711761475
Batch: 4, Loss: 5.630220413208008
Batch: 5, Loss: 5.501208305358887
Batch: 6, Loss: 5.646995544433594
Batch: 7, Loss: 5.529723644256592
Batch: 8, Loss: 5.677581787109375
Batch: 9, Loss: 5.453027248382568
Batch: 10, Loss: 5.892897605895996
Batch: 11, Loss: 5.423370838165283
Batch: 12, Loss: 5.3358869552612305
Batch: 13, Loss: 5.36777925491333
Batch: 14, Loss: 5.290558815002441

Epoch 527 out of 2000Batch: 1, Loss: 6.250547409057617
Batch: 2, Loss: 5.713328838348389
Batch: 3, Loss: 6.070900917053223
Batch: 4, Loss: 6.777907848358154
Batch: 5, Loss: 6.46994161605835
Batch: 6, Loss: 6.576092720031738
Batch: 7, Loss: 5.990516662597656
Batch: 8, Loss: 6.304454326629639
Batch: 9, Loss: 6.276385307312012
Batch: 10, Loss: 6.408831596374512
Batch: 11, Loss: 6.09140682220459
Batch: 12, Loss: 5.926631927490234
Batch: 13, Loss: 6.378616809844971
Batch: 14, Loss: 6.515493869781494

Epoch 528 out of 2000Batch: 1, Loss: 5.946722984313965
Batch: 2, Loss: 4.67434024810791
Batch: 3, Loss: 5.746954441070557
Batch: 4, Loss: 5.9202165603637695
Batch: 5, Loss: 5.377854347229004
Batch: 6, Loss: 5.801996231079102
Batch: 7, Loss: 5.326526165008545
Batch: 8, Loss: 5.455294132232666
Batch: 9, Loss: 5.517411708831787
Batch: 10, Loss: 5.405381679534912
Batch: 11, Loss: 5.493123531341553
Batch: 12, Loss: 5.563491344451904
Batch: 13, Loss: 5.70021915435791
Batch: 14, Loss: 5.7766547203063965

Epoch 529 out of 2000Batch: 1, Loss: 5.914322376251221
Batch: 2, Loss: 5.674545764923096
Batch: 3, Loss: 5.548857688903809
Batch: 4, Loss: 5.774315357208252
Batch: 5, Loss: 6.134167671203613
Batch: 6, Loss: 6.1234517097473145
Batch: 7, Loss: 6.307921886444092
Batch: 8, Loss: 6.389386177062988
Batch: 9, Loss: 5.876297473907471
Batch: 10, Loss: 6.199990749359131
Batch: 11, Loss: 5.7059149742126465
Batch: 12, Loss: 6.006537437438965
Batch: 13, Loss: 5.944904327392578
Batch: 14, Loss: 5.7585530281066895

Epoch 530 out of 2000Batch: 1, Loss: 6.606967449188232
Batch: 2, Loss: 5.297001838684082
Batch: 3, Loss: 5.342471599578857
Batch: 4, Loss: 6.006346225738525
Batch: 5, Loss: 5.861459732055664
Batch: 6, Loss: 5.983517169952393
Batch: 7, Loss: 5.593147277832031
Batch: 8, Loss: 5.973755359649658
Batch: 9, Loss: 6.079232215881348
Batch: 10, Loss: 6.355200290679932
Batch: 11, Loss: 5.615964412689209
Batch: 12, Loss: 5.660711288452148
Batch: 13, Loss: 5.95429801940918
Batch: 14, Loss: 5.842004776000977

Epoch 531 out of 2000Batch: 1, Loss: 5.5825910568237305
Batch: 2, Loss: 5.7110819816589355
Batch: 3, Loss: 5.741454124450684
Batch: 4, Loss: 5.3586883544921875
Batch: 5, Loss: 5.59750509262085
Batch: 6, Loss: 5.632613182067871
Batch: 7, Loss: 6.089814186096191
Batch: 8, Loss: 6.129648208618164
Batch: 9, Loss: 5.633373737335205
Batch: 10, Loss: 5.484513282775879
Batch: 11, Loss: 5.658580780029297
Batch: 12, Loss: 5.032295227050781
Batch: 13, Loss: 5.497740268707275
Batch: 14, Loss: 5.631422996520996

Epoch 532 out of 2000Batch: 1, Loss: 5.983364105224609
Batch: 2, Loss: 5.5040082931518555
Batch: 3, Loss: 5.753955841064453
Batch: 4, Loss: 5.623645782470703
Batch: 5, Loss: 5.689764022827148
Batch: 6, Loss: 5.5012969970703125
Batch: 7, Loss: 5.770060062408447
Batch: 8, Loss: 5.952108383178711
Batch: 9, Loss: 5.43135404586792
Batch: 10, Loss: 5.468691349029541
Batch: 11, Loss: 5.685275554656982
Batch: 12, Loss: 5.766352653503418
Batch: 13, Loss: 5.0396223068237305
Batch: 14, Loss: 6.048328399658203

Epoch 533 out of 2000Batch: 1, Loss: 5.387145042419434
Batch: 2, Loss: 5.52403450012207
Batch: 3, Loss: 5.658320426940918
Batch: 4, Loss: 5.597568988800049
Batch: 5, Loss: 5.872310161590576
Batch: 6, Loss: 5.48770809173584
Batch: 7, Loss: 5.455191135406494
Batch: 8, Loss: 5.154968738555908
Batch: 9, Loss: 4.822446823120117
Batch: 10, Loss: 5.655516147613525
Batch: 11, Loss: 5.608604907989502
Batch: 12, Loss: 5.23900032043457
Batch: 13, Loss: 5.219700336456299
Batch: 14, Loss: 5.423908233642578

Epoch 534 out of 2000Batch: 1, Loss: 5.371856689453125
Batch: 2, Loss: 4.9346747398376465
Batch: 3, Loss: 4.953603744506836
Batch: 4, Loss: 5.270103454589844
Batch: 5, Loss: 5.236138343811035
Batch: 6, Loss: 5.027734279632568
Batch: 7, Loss: 5.099606037139893
Batch: 8, Loss: 5.255438804626465
Batch: 9, Loss: 4.943387031555176
Batch: 10, Loss: 4.788741111755371
Batch: 11, Loss: 4.986662864685059
Batch: 12, Loss: 4.733057498931885
Batch: 13, Loss: 4.975214004516602
Batch: 14, Loss: 4.871638774871826

Epoch 535 out of 2000Batch: 1, Loss: 5.543501377105713
Batch: 2, Loss: 5.508233547210693
Batch: 3, Loss: 5.876275539398193
Batch: 4, Loss: 5.038599014282227
Batch: 5, Loss: 5.541598796844482
Batch: 6, Loss: 5.661257743835449
Batch: 7, Loss: 5.568676948547363
Batch: 8, Loss: 5.505124092102051
Batch: 9, Loss: 5.593614101409912
Batch: 10, Loss: 5.386588096618652
Batch: 11, Loss: 5.321628093719482
Batch: 12, Loss: 5.514049053192139
Batch: 13, Loss: 5.453052997589111
Batch: 14, Loss: 5.3363823890686035

Epoch 536 out of 2000Batch: 1, Loss: 6.3571553230285645
Batch: 2, Loss: 6.226457595825195
Batch: 3, Loss: 6.107058048248291
Batch: 4, Loss: 6.449127197265625
Batch: 5, Loss: 6.090286731719971
Batch: 6, Loss: 5.976038455963135
Batch: 7, Loss: 6.036264896392822
Batch: 8, Loss: 5.801390647888184
Batch: 9, Loss: 5.851051330566406
Batch: 10, Loss: 5.568004131317139
Batch: 11, Loss: 5.844660758972168
Batch: 12, Loss: 5.509405136108398
Batch: 13, Loss: 6.059718608856201
Batch: 14, Loss: 5.406323432922363

Epoch 537 out of 2000Batch: 1, Loss: 5.936615943908691
Batch: 2, Loss: 5.773148059844971
Batch: 3, Loss: 5.9212141036987305
Batch: 4, Loss: 5.9251556396484375
Batch: 5, Loss: 5.875035285949707
Batch: 6, Loss: 5.861410140991211
Batch: 7, Loss: 6.064901828765869
Batch: 8, Loss: 5.76301383972168
Batch: 9, Loss: 5.939340591430664
Batch: 10, Loss: 5.729062557220459
Batch: 11, Loss: 5.984058380126953
Batch: 12, Loss: 5.621225357055664
Batch: 13, Loss: 6.238772869110107
Batch: 14, Loss: 6.097992420196533

Epoch 538 out of 2000Batch: 1, Loss: 5.465751647949219
Batch: 2, Loss: 5.733490467071533
Batch: 3, Loss: 5.38099479675293
Batch: 4, Loss: 5.441305637359619
Batch: 5, Loss: 5.4939069747924805
Batch: 6, Loss: 5.680537223815918
Batch: 7, Loss: 5.738402843475342
Batch: 8, Loss: 5.675856113433838
Batch: 9, Loss: 5.772333145141602
Batch: 10, Loss: 5.364039421081543
Batch: 11, Loss: 5.3842291831970215
Batch: 12, Loss: 5.4822282791137695
Batch: 13, Loss: 5.287829399108887
Batch: 14, Loss: 5.231475353240967

Epoch 539 out of 2000Batch: 1, Loss: 5.834714412689209
Batch: 2, Loss: 5.643310546875
Batch: 3, Loss: 5.430680751800537
Batch: 4, Loss: 5.5880866050720215
Batch: 5, Loss: 5.478219509124756
Batch: 6, Loss: 5.831768989562988
Batch: 7, Loss: 5.3773417472839355
Batch: 8, Loss: 5.619165420532227
Batch: 9, Loss: 5.554507732391357
Batch: 10, Loss: 5.420917987823486
Batch: 11, Loss: 5.608079433441162
Batch: 12, Loss: 5.006208896636963
Batch: 13, Loss: 5.723416805267334
Batch: 14, Loss: 5.135588645935059

Epoch 540 out of 2000Batch: 1, Loss: 5.481659412384033
Batch: 2, Loss: 5.427555561065674
Batch: 3, Loss: 5.34310245513916
Batch: 4, Loss: 5.563846111297607
Batch: 5, Loss: 5.444004535675049
Batch: 6, Loss: 5.508683204650879
Batch: 7, Loss: 5.3442487716674805
Batch: 8, Loss: 5.476101875305176
Batch: 9, Loss: 5.0213541984558105
Batch: 10, Loss: 5.279839992523193
Batch: 11, Loss: 5.22878360748291
Batch: 12, Loss: 5.530426025390625
Batch: 13, Loss: 5.691459655761719
Batch: 14, Loss: 5.914876461029053

Epoch 541 out of 2000Batch: 1, Loss: 6.5465898513793945
Batch: 2, Loss: 6.155828475952148
Batch: 3, Loss: 6.138828754425049
Batch: 4, Loss: 6.2406229972839355
Batch: 5, Loss: 6.375347137451172
Batch: 6, Loss: 6.169611930847168
Batch: 7, Loss: 6.147602558135986
Batch: 8, Loss: 5.866733074188232
Batch: 9, Loss: 6.074046611785889
Batch: 10, Loss: 6.419400691986084
Batch: 11, Loss: 6.103733062744141
Batch: 12, Loss: 6.150136470794678
Batch: 13, Loss: 6.592176914215088
Batch: 14, Loss: 5.873898029327393

Epoch 542 out of 2000Batch: 1, Loss: 4.718626499176025
Batch: 2, Loss: 4.534171104431152
Batch: 3, Loss: 4.740298271179199
Batch: 4, Loss: 4.754880428314209
Batch: 5, Loss: 4.6475749015808105
Batch: 6, Loss: 4.768270015716553
Batch: 7, Loss: 4.331619739532471
Batch: 8, Loss: 4.5064377784729
Batch: 9, Loss: 4.725012302398682
Batch: 10, Loss: 4.390357971191406
Batch: 11, Loss: 4.513256549835205
Batch: 12, Loss: 3.9453694820404053
Batch: 13, Loss: 4.485098838806152
Batch: 14, Loss: 4.249940872192383

Epoch 543 out of 2000Batch: 1, Loss: 6.262267112731934
Batch: 2, Loss: 6.111619472503662
Batch: 3, Loss: 6.330786228179932
Batch: 4, Loss: 5.8628058433532715
Batch: 5, Loss: 6.294816017150879
Batch: 6, Loss: 5.898070335388184
Batch: 7, Loss: 5.8598313331604
Batch: 8, Loss: 6.229133129119873
Batch: 9, Loss: 6.231801509857178
Batch: 10, Loss: 5.938298225402832
Batch: 11, Loss: 5.49915885925293
Batch: 12, Loss: 5.902355194091797
Batch: 13, Loss: 5.86588191986084
Batch: 14, Loss: 5.605491638183594

Epoch 544 out of 2000Batch: 1, Loss: 5.43215274810791
Batch: 2, Loss: 5.944167613983154
Batch: 3, Loss: 5.202910900115967
Batch: 4, Loss: 5.961596965789795
Batch: 5, Loss: 5.664231300354004
Batch: 6, Loss: 5.4446797370910645
Batch: 7, Loss: 5.522998332977295
Batch: 8, Loss: 5.525014400482178
Batch: 9, Loss: 5.310924053192139
Batch: 10, Loss: 5.7391676902771
Batch: 11, Loss: 5.111079216003418
Batch: 12, Loss: 5.540528297424316
Batch: 13, Loss: 5.397141456604004
Batch: 14, Loss: 5.5507636070251465

Epoch 545 out of 2000Batch: 1, Loss: 6.282533645629883
Batch: 2, Loss: 6.786369800567627
Batch: 3, Loss: 6.780730724334717
Batch: 4, Loss: 6.99308443069458
Batch: 5, Loss: 6.524832248687744
Batch: 6, Loss: 6.081474304199219
Batch: 7, Loss: 6.760714054107666
Batch: 8, Loss: 6.5856804847717285
Batch: 9, Loss: 6.556384563446045
Batch: 10, Loss: 5.874441623687744
Batch: 11, Loss: 7.09678840637207
Batch: 12, Loss: 6.750324249267578
Batch: 13, Loss: 6.560654163360596
Batch: 14, Loss: 6.728704452514648

Epoch 546 out of 2000Batch: 1, Loss: 5.830597877502441
Batch: 2, Loss: 5.404163360595703
Batch: 3, Loss: 5.599691390991211
Batch: 4, Loss: 5.32429313659668
Batch: 5, Loss: 5.580735683441162
Batch: 6, Loss: 5.401784420013428
Batch: 7, Loss: 5.203820705413818
Batch: 8, Loss: 5.435243606567383
Batch: 9, Loss: 5.744510650634766
Batch: 10, Loss: 5.614030361175537
Batch: 11, Loss: 5.430367469787598
Batch: 12, Loss: 5.4548749923706055
Batch: 13, Loss: 5.5432024002075195
Batch: 14, Loss: 5.433473587036133

Epoch 547 out of 2000Batch: 1, Loss: 6.220221519470215
Batch: 2, Loss: 6.028927803039551
Batch: 3, Loss: 6.505849838256836
Batch: 4, Loss: 6.450729846954346
Batch: 5, Loss: 6.14667272567749
Batch: 6, Loss: 6.545502185821533
Batch: 7, Loss: 6.186569690704346
Batch: 8, Loss: 6.179548263549805
Batch: 9, Loss: 6.186222076416016
Batch: 10, Loss: 6.518303394317627
Batch: 11, Loss: 6.800554275512695
Batch: 12, Loss: 5.952547073364258
Batch: 13, Loss: 6.434009075164795
Batch: 14, Loss: 5.883633136749268

Epoch 548 out of 2000Batch: 1, Loss: 6.3286871910095215
Batch: 2, Loss: 6.242556571960449
Batch: 3, Loss: 6.512312412261963
Batch: 4, Loss: 5.322900772094727
Batch: 5, Loss: 6.0415778160095215
Batch: 6, Loss: 6.198267936706543
Batch: 7, Loss: 5.942885875701904
Batch: 8, Loss: 5.759257793426514
Batch: 9, Loss: 5.992228031158447
Batch: 10, Loss: 5.871000289916992
Batch: 11, Loss: 5.995726108551025
Batch: 12, Loss: 5.66530704498291
Batch: 13, Loss: 5.83290433883667
Batch: 14, Loss: 5.9375386238098145

Epoch 549 out of 2000Batch: 1, Loss: 5.842151165008545
Batch: 2, Loss: 6.06919527053833
Batch: 3, Loss: 6.174113750457764
Batch: 4, Loss: 5.830114841461182
Batch: 5, Loss: 5.94020938873291
Batch: 6, Loss: 6.014379501342773
Batch: 7, Loss: 6.302036285400391
Batch: 8, Loss: 5.537131309509277
Batch: 9, Loss: 6.368863582611084
Batch: 10, Loss: 6.116180896759033
Batch: 11, Loss: 6.2954421043396
Batch: 12, Loss: 6.3942670822143555
Batch: 13, Loss: 5.718149185180664
Batch: 14, Loss: 6.212397575378418

Epoch 550 out of 2000Batch: 1, Loss: 5.814867973327637
Batch: 2, Loss: 5.430905818939209
Batch: 3, Loss: 5.813202857971191
Batch: 4, Loss: 5.570500373840332
Batch: 5, Loss: 5.688407897949219
Batch: 6, Loss: 5.734984397888184
Batch: 7, Loss: 5.4870100021362305
Batch: 8, Loss: 5.808273792266846
Batch: 9, Loss: 5.8235039710998535
Batch: 10, Loss: 5.07426118850708
Batch: 11, Loss: 5.672099590301514
Batch: 12, Loss: 5.472720146179199
Batch: 13, Loss: 5.456073760986328
Batch: 14, Loss: 5.657604694366455

Epoch 551 out of 2000Batch: 1, Loss: 6.53290319442749
Batch: 2, Loss: 6.008585453033447
Batch: 3, Loss: 6.561229705810547
Batch: 4, Loss: 6.311973571777344
Batch: 5, Loss: 6.967566967010498
Batch: 6, Loss: 6.379929542541504
Batch: 7, Loss: 6.470089435577393
Batch: 8, Loss: 6.812198638916016
Batch: 9, Loss: 6.674594879150391
Batch: 10, Loss: 6.269570350646973
Batch: 11, Loss: 5.806085109710693
Batch: 12, Loss: 6.68074893951416
Batch: 13, Loss: 6.749203205108643
Batch: 14, Loss: 5.822038173675537

Epoch 552 out of 2000Batch: 1, Loss: 6.090152740478516
Batch: 2, Loss: 5.667614936828613
Batch: 3, Loss: 5.822183609008789
Batch: 4, Loss: 5.610218524932861
Batch: 5, Loss: 5.963557243347168
Batch: 6, Loss: 5.915401935577393
Batch: 7, Loss: 5.636329650878906
Batch: 8, Loss: 6.204729080200195
Batch: 9, Loss: 5.471004009246826
Batch: 10, Loss: 5.633370399475098
Batch: 11, Loss: 5.54598331451416
Batch: 12, Loss: 5.715519905090332
Batch: 13, Loss: 6.096190929412842
Batch: 14, Loss: 5.946427822113037

Epoch 553 out of 2000Batch: 1, Loss: 6.308237552642822
Batch: 2, Loss: 6.1643290519714355
Batch: 3, Loss: 6.754299640655518
Batch: 4, Loss: 5.969178676605225
Batch: 5, Loss: 6.043155670166016
Batch: 6, Loss: 6.4554643630981445
Batch: 7, Loss: 7.143968105316162
Batch: 8, Loss: 6.44184684753418
Batch: 9, Loss: 6.294225692749023
Batch: 10, Loss: 6.911627769470215
Batch: 11, Loss: 6.359795570373535
Batch: 12, Loss: 6.411218643188477
Batch: 13, Loss: 6.517565727233887
Batch: 14, Loss: 6.366866588592529

Epoch 554 out of 2000Batch: 1, Loss: 5.839946746826172
Batch: 2, Loss: 5.481357097625732
Batch: 3, Loss: 5.517092704772949
Batch: 4, Loss: 5.671462535858154
Batch: 5, Loss: 5.5291924476623535
Batch: 6, Loss: 5.498533725738525
Batch: 7, Loss: 5.122487545013428
Batch: 8, Loss: 5.091089725494385
Batch: 9, Loss: 5.483703136444092
Batch: 10, Loss: 5.483119487762451
Batch: 11, Loss: 5.581226825714111
Batch: 12, Loss: 5.431303977966309
Batch: 13, Loss: 5.137211322784424
Batch: 14, Loss: 5.1462178230285645

Epoch 555 out of 2000Batch: 1, Loss: 5.425031661987305
Batch: 2, Loss: 5.493825912475586
Batch: 3, Loss: 5.714837074279785
Batch: 4, Loss: 5.472886085510254
Batch: 5, Loss: 5.474466800689697
Batch: 6, Loss: 5.694824695587158
Batch: 7, Loss: 5.573246479034424
Batch: 8, Loss: 5.460567951202393
Batch: 9, Loss: 5.336376190185547
Batch: 10, Loss: 5.2142014503479
Batch: 11, Loss: 5.692777156829834
Batch: 12, Loss: 5.184421539306641
Batch: 13, Loss: 5.245834827423096
Batch: 14, Loss: 5.814795017242432

Epoch 556 out of 2000Batch: 1, Loss: 4.632528781890869
Batch: 2, Loss: 5.086270332336426
Batch: 3, Loss: 4.790375232696533
Batch: 4, Loss: 4.938626766204834
Batch: 5, Loss: 4.653205394744873
Batch: 6, Loss: 4.9331560134887695
Batch: 7, Loss: 4.552945137023926
Batch: 8, Loss: 4.926189422607422
Batch: 9, Loss: 4.704362869262695
Batch: 10, Loss: 4.716220378875732
Batch: 11, Loss: 4.812972545623779
Batch: 12, Loss: 4.704521179199219
Batch: 13, Loss: 4.875489711761475
Batch: 14, Loss: 4.83192777633667

Epoch 557 out of 2000Batch: 1, Loss: 5.544404029846191
Batch: 2, Loss: 5.509247779846191
Batch: 3, Loss: 5.20769739151001
Batch: 4, Loss: 5.557326316833496
Batch: 5, Loss: 5.405152320861816
Batch: 6, Loss: 5.057373523712158
Batch: 7, Loss: 5.126000881195068
Batch: 8, Loss: 5.145885944366455
Batch: 9, Loss: 5.34730339050293
Batch: 10, Loss: 5.591522693634033
Batch: 11, Loss: 5.331429481506348
Batch: 12, Loss: 5.3724751472473145
Batch: 13, Loss: 5.199466705322266
Batch: 14, Loss: 5.428913116455078

Epoch 558 out of 2000Batch: 1, Loss: 6.00712776184082
Batch: 2, Loss: 5.6014018058776855
Batch: 3, Loss: 5.929985523223877
Batch: 4, Loss: 5.314105033874512
Batch: 5, Loss: 5.7381367683410645
Batch: 6, Loss: 5.911168575286865
Batch: 7, Loss: 5.678239822387695
Batch: 8, Loss: 5.884298324584961
Batch: 9, Loss: 5.74906587600708
Batch: 10, Loss: 5.920235633850098
Batch: 11, Loss: 5.597239017486572
Batch: 12, Loss: 5.700355052947998
Batch: 13, Loss: 5.4979777336120605
Batch: 14, Loss: 4.608701705932617

Epoch 559 out of 2000Batch: 1, Loss: 6.564638137817383
Batch: 2, Loss: 6.3607611656188965
Batch: 3, Loss: 6.404482841491699
Batch: 4, Loss: 6.526039123535156
Batch: 5, Loss: 5.770679473876953
Batch: 6, Loss: 5.961248397827148
Batch: 7, Loss: 6.044973850250244
Batch: 8, Loss: 6.460638523101807
Batch: 9, Loss: 6.812320709228516
Batch: 10, Loss: 5.943301677703857
Batch: 11, Loss: 6.433682441711426
Batch: 12, Loss: 5.822869777679443
Batch: 13, Loss: 5.787622451782227
Batch: 14, Loss: 6.058535575866699

Epoch 560 out of 2000Batch: 1, Loss: 5.906367301940918
Batch: 2, Loss: 5.907655239105225
Batch: 3, Loss: 5.777713775634766
Batch: 4, Loss: 5.703719139099121
Batch: 5, Loss: 5.524686336517334
Batch: 6, Loss: 5.418609142303467
Batch: 7, Loss: 5.649726867675781
Batch: 8, Loss: 5.91473913192749
Batch: 9, Loss: 5.939748764038086
Batch: 10, Loss: 5.21115255355835
Batch: 11, Loss: 5.053378105163574
Batch: 12, Loss: 5.62100887298584
Batch: 13, Loss: 5.69852876663208
Batch: 14, Loss: 5.261824131011963

Epoch 561 out of 2000Batch: 1, Loss: 6.0106682777404785
Batch: 2, Loss: 5.939682960510254
Batch: 3, Loss: 6.031171798706055
Batch: 4, Loss: 5.889120101928711
Batch: 5, Loss: 5.612380504608154
Batch: 6, Loss: 5.694120407104492
Batch: 7, Loss: 5.374264240264893
Batch: 8, Loss: 5.75976037979126
Batch: 9, Loss: 5.7771315574646
Batch: 10, Loss: 5.91037654876709
Batch: 11, Loss: 5.536540508270264
Batch: 12, Loss: 5.878000259399414
Batch: 13, Loss: 5.435929298400879
Batch: 14, Loss: 5.778320789337158

Epoch 562 out of 2000Batch: 1, Loss: 5.223130702972412
Batch: 2, Loss: 4.932355880737305
Batch: 3, Loss: 5.095512866973877
Batch: 4, Loss: 5.1320390701293945
Batch: 5, Loss: 4.781123161315918
Batch: 6, Loss: 5.171175003051758
Batch: 7, Loss: 4.696835517883301
Batch: 8, Loss: 4.824253559112549
Batch: 9, Loss: 4.927002429962158
Batch: 10, Loss: 4.942834377288818
Batch: 11, Loss: 5.103382110595703
Batch: 12, Loss: 4.369816780090332
Batch: 13, Loss: 4.984776496887207
Batch: 14, Loss: 4.577905178070068

Epoch 563 out of 2000Batch: 1, Loss: 5.768443584442139
Batch: 2, Loss: 6.45270299911499
Batch: 3, Loss: 6.0553131103515625
Batch: 4, Loss: 5.92608118057251
Batch: 5, Loss: 6.207612991333008
Batch: 6, Loss: 6.439274787902832
Batch: 7, Loss: 6.171125411987305
Batch: 8, Loss: 6.40415620803833
Batch: 9, Loss: 6.108854293823242
Batch: 10, Loss: 6.2516021728515625
Batch: 11, Loss: 6.002499580383301
Batch: 12, Loss: 5.787132263183594
Batch: 13, Loss: 6.358719825744629
Batch: 14, Loss: 5.173922061920166

Epoch 564 out of 2000Batch: 1, Loss: 5.879618167877197
Batch: 2, Loss: 5.855903148651123
Batch: 3, Loss: 6.327295303344727
Batch: 4, Loss: 6.236501693725586
Batch: 5, Loss: 6.403659820556641
Batch: 6, Loss: 5.907415390014648
Batch: 7, Loss: 6.396481990814209
Batch: 8, Loss: 6.232329845428467
Batch: 9, Loss: 5.891289234161377
Batch: 10, Loss: 6.00828218460083
Batch: 11, Loss: 5.667844772338867
Batch: 12, Loss: 5.62857723236084
Batch: 13, Loss: 6.202662467956543
Batch: 14, Loss: 6.176145553588867

Epoch 565 out of 2000Batch: 1, Loss: 5.29559326171875
Batch: 2, Loss: 5.330094814300537
Batch: 3, Loss: 5.032878398895264
Batch: 4, Loss: 4.941927433013916
Batch: 5, Loss: 4.973886966705322
Batch: 6, Loss: 5.035495281219482
Batch: 7, Loss: 5.037071228027344
Batch: 8, Loss: 4.749567031860352
Batch: 9, Loss: 5.042661190032959
Batch: 10, Loss: 4.922305583953857
Batch: 11, Loss: 4.525577545166016
Batch: 12, Loss: 4.918277263641357
Batch: 13, Loss: 4.583358287811279
Batch: 14, Loss: 4.8125386238098145

Epoch 566 out of 2000Batch: 1, Loss: 5.357452869415283
Batch: 2, Loss: 5.78354549407959
Batch: 3, Loss: 5.712611675262451
Batch: 4, Loss: 5.55381965637207
Batch: 5, Loss: 5.737987518310547
Batch: 6, Loss: 5.5563764572143555
Batch: 7, Loss: 6.0085835456848145
Batch: 8, Loss: 5.967926025390625
Batch: 9, Loss: 5.267919063568115
Batch: 10, Loss: 5.669483661651611
Batch: 11, Loss: 5.4963531494140625
Batch: 12, Loss: 5.116217613220215
Batch: 13, Loss: 5.648034572601318
Batch: 14, Loss: 5.730462551116943

Epoch 567 out of 2000Batch: 1, Loss: 6.43623161315918
Batch: 2, Loss: 6.3762617111206055
Batch: 3, Loss: 6.195890426635742
Batch: 4, Loss: 6.472530364990234
Batch: 5, Loss: 6.501173496246338
Batch: 6, Loss: 6.695443153381348
Batch: 7, Loss: 6.320517063140869
Batch: 8, Loss: 6.501789093017578
Batch: 9, Loss: 5.72786808013916
Batch: 10, Loss: 6.479340553283691
Batch: 11, Loss: 6.404994010925293
Batch: 12, Loss: 6.467052936553955
Batch: 13, Loss: 6.117050647735596
Batch: 14, Loss: 5.681057929992676

Epoch 568 out of 2000Batch: 1, Loss: 5.156020164489746
Batch: 2, Loss: 4.865846157073975
Batch: 3, Loss: 5.565350532531738
Batch: 4, Loss: 5.059127330780029
Batch: 5, Loss: 5.036884307861328
Batch: 6, Loss: 4.95281982421875
Batch: 7, Loss: 5.179910659790039
Batch: 8, Loss: 4.912689208984375
Batch: 9, Loss: 5.009679794311523
Batch: 10, Loss: 4.8226728439331055
Batch: 11, Loss: 5.006336212158203
Batch: 12, Loss: 4.339040279388428
Batch: 13, Loss: 4.724044322967529
Batch: 14, Loss: 5.4245500564575195

Epoch 569 out of 2000Batch: 1, Loss: 5.6294026374816895
Batch: 2, Loss: 5.646190166473389
Batch: 3, Loss: 5.867495536804199
Batch: 4, Loss: 5.91042423248291
Batch: 5, Loss: 5.30817174911499
Batch: 6, Loss: 5.752968788146973
Batch: 7, Loss: 4.798661231994629
Batch: 8, Loss: 5.5162272453308105
Batch: 9, Loss: 5.740287780761719
Batch: 10, Loss: 5.622182846069336
Batch: 11, Loss: 5.361512184143066
Batch: 12, Loss: 4.929751396179199
Batch: 13, Loss: 5.281856536865234
Batch: 14, Loss: 5.775454044342041

Epoch 570 out of 2000Batch: 1, Loss: 5.677945137023926
Batch: 2, Loss: 5.8594255447387695
Batch: 3, Loss: 5.769505500793457
Batch: 4, Loss: 5.553127765655518
Batch: 5, Loss: 5.71376895904541
Batch: 6, Loss: 6.263996124267578
Batch: 7, Loss: 5.6414642333984375
Batch: 8, Loss: 5.645748615264893
Batch: 9, Loss: 6.018649101257324
Batch: 10, Loss: 5.225973129272461
Batch: 11, Loss: 5.988390922546387
Batch: 12, Loss: 5.488786220550537
Batch: 13, Loss: 5.801736354827881
Batch: 14, Loss: 5.7075605392456055

Epoch 571 out of 2000Batch: 1, Loss: 5.801764011383057
Batch: 2, Loss: 5.946287631988525
Batch: 3, Loss: 5.3990254402160645
Batch: 4, Loss: 5.655619144439697
Batch: 5, Loss: 6.146725177764893
Batch: 6, Loss: 5.9744367599487305
Batch: 7, Loss: 5.4970383644104
Batch: 8, Loss: 5.30609655380249
Batch: 9, Loss: 5.526737689971924
Batch: 10, Loss: 5.724757194519043
Batch: 11, Loss: 5.754142761230469
Batch: 12, Loss: 5.867307186126709
Batch: 13, Loss: 5.932342052459717
Batch: 14, Loss: 5.674244403839111

Epoch 572 out of 2000Batch: 1, Loss: 7.008758068084717
Batch: 2, Loss: 6.430089950561523
Batch: 3, Loss: 6.427423477172852
Batch: 4, Loss: 6.951763153076172
Batch: 5, Loss: 6.592555999755859
Batch: 6, Loss: 6.012001037597656
Batch: 7, Loss: 6.276291847229004
Batch: 8, Loss: 6.7131171226501465
Batch: 9, Loss: 6.384057998657227
Batch: 10, Loss: 6.241217613220215
Batch: 11, Loss: 6.317195892333984
Batch: 12, Loss: 6.1556196212768555
Batch: 13, Loss: 6.065652370452881
Batch: 14, Loss: 6.522352695465088

Epoch 573 out of 2000Batch: 1, Loss: 5.658864974975586
Batch: 2, Loss: 5.680632591247559
Batch: 3, Loss: 6.048885345458984
Batch: 4, Loss: 5.809225082397461
Batch: 5, Loss: 5.7269134521484375
Batch: 6, Loss: 5.678651809692383
Batch: 7, Loss: 5.539844512939453
Batch: 8, Loss: 6.208817958831787
Batch: 9, Loss: 5.46285343170166
Batch: 10, Loss: 5.2090630531311035
Batch: 11, Loss: 5.6593170166015625
Batch: 12, Loss: 5.735534191131592
Batch: 13, Loss: 5.519195556640625
Batch: 14, Loss: 5.499209403991699

Epoch 574 out of 2000Batch: 1, Loss: 4.747314929962158
Batch: 2, Loss: 5.031203269958496
Batch: 3, Loss: 4.9304680824279785
Batch: 4, Loss: 5.1303582191467285
Batch: 5, Loss: 4.853621482849121
Batch: 6, Loss: 5.098260402679443
Batch: 7, Loss: 4.955082893371582
Batch: 8, Loss: 5.115551471710205
Batch: 9, Loss: 4.416133403778076
Batch: 10, Loss: 4.721005439758301
Batch: 11, Loss: 5.009099960327148
Batch: 12, Loss: 5.2768096923828125
Batch: 13, Loss: 4.791677951812744
Batch: 14, Loss: 4.596136093139648

Epoch 575 out of 2000Batch: 1, Loss: 5.721638202667236
Batch: 2, Loss: 5.409467697143555
Batch: 3, Loss: 5.33439826965332
Batch: 4, Loss: 5.479199409484863
Batch: 5, Loss: 5.6156511306762695
Batch: 6, Loss: 5.42697286605835
Batch: 7, Loss: 5.188834190368652
Batch: 8, Loss: 5.3905181884765625
Batch: 9, Loss: 5.2549285888671875
Batch: 10, Loss: 5.296212196350098
Batch: 11, Loss: 5.206984996795654
Batch: 12, Loss: 5.477413177490234
Batch: 13, Loss: 5.481576919555664
Batch: 14, Loss: 5.098363399505615

Epoch 576 out of 2000Batch: 1, Loss: 6.404090404510498
Batch: 2, Loss: 6.067491054534912
Batch: 3, Loss: 5.992105960845947
Batch: 4, Loss: 5.9846320152282715
Batch: 5, Loss: 6.351218223571777
Batch: 6, Loss: 6.164080619812012
Batch: 7, Loss: 5.794702529907227
Batch: 8, Loss: 5.952718734741211
Batch: 9, Loss: 6.401015758514404
Batch: 10, Loss: 6.539658069610596
Batch: 11, Loss: 5.924149036407471
Batch: 12, Loss: 5.901495456695557
Batch: 13, Loss: 5.987346172332764
Batch: 14, Loss: 5.799797534942627

Epoch 577 out of 2000Batch: 1, Loss: 5.804813861846924
Batch: 2, Loss: 5.601438999176025
Batch: 3, Loss: 5.7784600257873535
Batch: 4, Loss: 5.188145160675049
Batch: 5, Loss: 5.089698314666748
Batch: 6, Loss: 4.977323532104492
Batch: 7, Loss: 5.690290927886963
Batch: 8, Loss: 5.512378692626953
Batch: 9, Loss: 5.377066135406494
Batch: 10, Loss: 5.795298099517822
Batch: 11, Loss: 5.145317077636719
Batch: 12, Loss: 5.7081146240234375
Batch: 13, Loss: 5.146419525146484
Batch: 14, Loss: 5.584578990936279

Epoch 578 out of 2000Batch: 1, Loss: 4.857952117919922
Batch: 2, Loss: 4.9343719482421875
Batch: 3, Loss: 4.891636848449707
Batch: 4, Loss: 5.032050132751465
Batch: 5, Loss: 5.4020466804504395
Batch: 6, Loss: 5.244312286376953
Batch: 7, Loss: 5.2049150466918945
Batch: 8, Loss: 5.203671932220459
Batch: 9, Loss: 4.726945400238037
Batch: 10, Loss: 4.92918586730957
Batch: 11, Loss: 5.140599250793457
Batch: 12, Loss: 5.288191795349121
Batch: 13, Loss: 4.955246448516846
Batch: 14, Loss: 4.672852993011475

Epoch 579 out of 2000Batch: 1, Loss: 5.656798362731934
Batch: 2, Loss: 5.740570068359375
Batch: 3, Loss: 5.8948974609375
Batch: 4, Loss: 5.409821033477783
Batch: 5, Loss: 5.1208295822143555
Batch: 6, Loss: 5.440290927886963
Batch: 7, Loss: 5.659346580505371
Batch: 8, Loss: 4.786769866943359
Batch: 9, Loss: 5.401533126831055
Batch: 10, Loss: 5.5093488693237305
Batch: 11, Loss: 5.502261638641357
Batch: 12, Loss: 5.37369966506958
Batch: 13, Loss: 5.361753463745117
Batch: 14, Loss: 5.1440534591674805

Epoch 580 out of 2000Batch: 1, Loss: 6.692002773284912
Batch: 2, Loss: 6.239917755126953
Batch: 3, Loss: 6.38438081741333
Batch: 4, Loss: 6.402015209197998
Batch: 5, Loss: 6.166421413421631
Batch: 6, Loss: 6.19658899307251
Batch: 7, Loss: 6.527240753173828
Batch: 8, Loss: 6.4558868408203125
Batch: 9, Loss: 5.921217918395996
Batch: 10, Loss: 6.464038848876953
Batch: 11, Loss: 6.0880327224731445
Batch: 12, Loss: 6.248162746429443
Batch: 13, Loss: 6.071913242340088
Batch: 14, Loss: 6.2806196212768555

Epoch 581 out of 2000Batch: 1, Loss: 6.090859889984131
Batch: 2, Loss: 5.923002243041992
Batch: 3, Loss: 5.874133586883545
Batch: 4, Loss: 5.868288040161133
Batch: 5, Loss: 6.115136623382568
Batch: 6, Loss: 5.905060291290283
Batch: 7, Loss: 5.6024322509765625
Batch: 8, Loss: 5.913715362548828
Batch: 9, Loss: 6.115890026092529
Batch: 10, Loss: 5.630385398864746
Batch: 11, Loss: 5.705695152282715
Batch: 12, Loss: 5.835843563079834
Batch: 13, Loss: 6.242705345153809
Batch: 14, Loss: 5.497774124145508

Epoch 582 out of 2000Batch: 1, Loss: 5.95575475692749
Batch: 2, Loss: 6.562114715576172
Batch: 3, Loss: 6.514935493469238
Batch: 4, Loss: 5.948154926300049
Batch: 5, Loss: 6.032593250274658
Batch: 6, Loss: 5.765517711639404
Batch: 7, Loss: 5.913113594055176
Batch: 8, Loss: 6.302183628082275
Batch: 9, Loss: 6.274113178253174
Batch: 10, Loss: 6.231602668762207
Batch: 11, Loss: 6.185193061828613
Batch: 12, Loss: 6.044095993041992
Batch: 13, Loss: 5.84549617767334
Batch: 14, Loss: 5.843786716461182

Epoch 583 out of 2000Batch: 1, Loss: 6.363257884979248
Batch: 2, Loss: 5.944797992706299
Batch: 3, Loss: 6.116922378540039
Batch: 4, Loss: 5.822751045227051
Batch: 5, Loss: 6.318068981170654
Batch: 6, Loss: 6.455491542816162
Batch: 7, Loss: 6.473268985748291
Batch: 8, Loss: 6.366125106811523
Batch: 9, Loss: 6.566428184509277
Batch: 10, Loss: 5.7792558670043945
Batch: 11, Loss: 6.512970924377441
Batch: 12, Loss: 6.532683372497559
Batch: 13, Loss: 6.499671459197998
Batch: 14, Loss: 5.954980373382568

Epoch 584 out of 2000Batch: 1, Loss: 5.519297122955322
Batch: 2, Loss: 5.465751647949219
Batch: 3, Loss: 5.548166751861572
Batch: 4, Loss: 5.706992149353027
Batch: 5, Loss: 5.378416061401367
Batch: 6, Loss: 5.669450283050537
Batch: 7, Loss: 5.20364236831665
Batch: 8, Loss: 5.461284160614014
Batch: 9, Loss: 5.133205890655518
Batch: 10, Loss: 5.012834072113037
Batch: 11, Loss: 5.666835784912109
Batch: 12, Loss: 5.43440580368042
Batch: 13, Loss: 5.618742942810059
Batch: 14, Loss: 5.224824905395508

Epoch 585 out of 2000Batch: 1, Loss: 5.317965030670166
Batch: 2, Loss: 5.497143268585205
Batch: 3, Loss: 5.123869895935059
Batch: 4, Loss: 5.088719844818115
Batch: 5, Loss: 5.364419460296631
Batch: 6, Loss: 5.329514026641846
Batch: 7, Loss: 5.793997764587402
Batch: 8, Loss: 4.998363971710205
Batch: 9, Loss: 5.488370418548584
Batch: 10, Loss: 5.577333450317383
Batch: 11, Loss: 5.508780479431152
Batch: 12, Loss: 5.659634113311768
Batch: 13, Loss: 4.804282188415527
Batch: 14, Loss: 4.957949161529541

Epoch 586 out of 2000Batch: 1, Loss: 5.497149467468262
Batch: 2, Loss: 5.741909503936768
Batch: 3, Loss: 5.936553001403809
Batch: 4, Loss: 6.12044620513916
Batch: 5, Loss: 5.760099411010742
Batch: 6, Loss: 5.848319053649902
Batch: 7, Loss: 5.571552753448486
Batch: 8, Loss: 5.839602947235107
Batch: 9, Loss: 5.509450912475586
Batch: 10, Loss: 5.46510124206543
Batch: 11, Loss: 5.349284648895264
Batch: 12, Loss: 5.829740524291992
Batch: 13, Loss: 5.737190246582031
Batch: 14, Loss: 5.223687648773193

Epoch 587 out of 2000Batch: 1, Loss: 5.194867134094238
Batch: 2, Loss: 5.664146900177002
Batch: 3, Loss: 5.1443681716918945
Batch: 4, Loss: 5.306158542633057
Batch: 5, Loss: 4.892755508422852
Batch: 6, Loss: 4.940167427062988
Batch: 7, Loss: 4.761582374572754
Batch: 8, Loss: 5.196341037750244
Batch: 9, Loss: 5.249153137207031
Batch: 10, Loss: 5.454713821411133
Batch: 11, Loss: 5.139415264129639
Batch: 12, Loss: 4.941871166229248
Batch: 13, Loss: 5.052726745605469
Batch: 14, Loss: 4.985808849334717

Epoch 588 out of 2000Batch: 1, Loss: 5.861337184906006
Batch: 2, Loss: 5.745271682739258
Batch: 3, Loss: 6.05842399597168
Batch: 4, Loss: 5.577029228210449
Batch: 5, Loss: 5.8513007164001465
Batch: 6, Loss: 6.150403022766113
Batch: 7, Loss: 5.355190753936768
Batch: 8, Loss: 5.755403518676758
Batch: 9, Loss: 5.734550952911377
Batch: 10, Loss: 5.657928466796875
Batch: 11, Loss: 5.521739959716797
Batch: 12, Loss: 5.530843734741211
Batch: 13, Loss: 6.041533946990967
Batch: 14, Loss: 5.918159008026123

Epoch 589 out of 2000Batch: 1, Loss: 6.0118913650512695
Batch: 2, Loss: 6.273390293121338
Batch: 3, Loss: 6.153003692626953
Batch: 4, Loss: 6.33433723449707
Batch: 5, Loss: 5.872843265533447
Batch: 6, Loss: 6.2054948806762695
Batch: 7, Loss: 5.758349418640137
Batch: 8, Loss: 6.076878070831299
Batch: 9, Loss: 5.719207763671875
Batch: 10, Loss: 6.4491987228393555
Batch: 11, Loss: 5.639284610748291
Batch: 12, Loss: 5.729361057281494
Batch: 13, Loss: 5.645757675170898
Batch: 14, Loss: 5.61393928527832

Epoch 590 out of 2000Batch: 1, Loss: 5.642972469329834
Batch: 2, Loss: 5.856322288513184
Batch: 3, Loss: 6.2638840675354
Batch: 4, Loss: 5.543970108032227
Batch: 5, Loss: 5.542638778686523
Batch: 6, Loss: 5.810577869415283
Batch: 7, Loss: 5.595919132232666
Batch: 8, Loss: 5.66122579574585
Batch: 9, Loss: 5.866091728210449
Batch: 10, Loss: 5.857975482940674
Batch: 11, Loss: 5.750169277191162
Batch: 12, Loss: 5.612714767456055
Batch: 13, Loss: 5.941765785217285
Batch: 14, Loss: 6.015836238861084

Epoch 591 out of 2000Batch: 1, Loss: 5.904786586761475
Batch: 2, Loss: 5.918717384338379
Batch: 3, Loss: 5.741713523864746
Batch: 4, Loss: 5.661131381988525
Batch: 5, Loss: 5.977395534515381
Batch: 6, Loss: 5.980326175689697
Batch: 7, Loss: 5.916341304779053
Batch: 8, Loss: 5.924967288970947
Batch: 9, Loss: 5.484768867492676
Batch: 10, Loss: 6.395289421081543
Batch: 11, Loss: 5.577272891998291
Batch: 12, Loss: 5.927029609680176
Batch: 13, Loss: 6.004732608795166
Batch: 14, Loss: 5.462122440338135

Epoch 592 out of 2000Batch: 1, Loss: 6.174232006072998
Batch: 2, Loss: 6.339780330657959
Batch: 3, Loss: 6.207240104675293
Batch: 4, Loss: 6.502976417541504
Batch: 5, Loss: 6.151453495025635
Batch: 6, Loss: 6.1772074699401855
Batch: 7, Loss: 6.164555549621582
Batch: 8, Loss: 5.994746208190918
Batch: 9, Loss: 5.964034080505371
Batch: 10, Loss: 5.918233394622803
Batch: 11, Loss: 6.053217887878418
Batch: 12, Loss: 6.358150959014893
Batch: 13, Loss: 5.822383403778076
Batch: 14, Loss: 6.6053643226623535

Epoch 593 out of 2000Batch: 1, Loss: 6.17048978805542
Batch: 2, Loss: 6.1041154861450195
Batch: 3, Loss: 5.910075664520264
Batch: 4, Loss: 6.02106237411499
Batch: 5, Loss: 5.589482307434082
Batch: 6, Loss: 5.583426475524902
Batch: 7, Loss: 5.867466926574707
Batch: 8, Loss: 6.162032127380371
Batch: 9, Loss: 5.456165790557861
Batch: 10, Loss: 6.021467685699463
Batch: 11, Loss: 5.849314212799072
Batch: 12, Loss: 5.809149742126465
Batch: 13, Loss: 5.518372535705566
Batch: 14, Loss: 5.949723243713379

Epoch 594 out of 2000Batch: 1, Loss: 6.0263352394104
Batch: 2, Loss: 5.712811470031738
Batch: 3, Loss: 5.715256214141846
Batch: 4, Loss: 5.475858688354492
Batch: 5, Loss: 5.512659549713135
Batch: 6, Loss: 5.625368595123291
Batch: 7, Loss: 5.76793909072876
Batch: 8, Loss: 6.0000319480896
Batch: 9, Loss: 5.991277694702148
Batch: 10, Loss: 5.409303188323975
Batch: 11, Loss: 5.630066871643066
Batch: 12, Loss: 5.462265968322754
Batch: 13, Loss: 5.527402400970459
Batch: 14, Loss: 5.672276496887207

Epoch 595 out of 2000Batch: 1, Loss: 6.434112548828125
Batch: 2, Loss: 6.271535873413086
Batch: 3, Loss: 6.78759241104126
Batch: 4, Loss: 6.2674880027771
Batch: 5, Loss: 6.52149772644043
Batch: 6, Loss: 6.304759979248047
Batch: 7, Loss: 6.447254657745361
Batch: 8, Loss: 5.80396842956543
Batch: 9, Loss: 6.062945365905762
Batch: 10, Loss: 6.4558563232421875
Batch: 11, Loss: 6.403239727020264
Batch: 12, Loss: 5.965137958526611
Batch: 13, Loss: 6.117985248565674
Batch: 14, Loss: 6.799574851989746

Epoch 596 out of 2000Batch: 1, Loss: 6.377300262451172
Batch: 2, Loss: 5.833357810974121
Batch: 3, Loss: 6.027806758880615
Batch: 4, Loss: 5.870309829711914
Batch: 5, Loss: 6.090851783752441
Batch: 6, Loss: 6.257852554321289
Batch: 7, Loss: 5.891307353973389
Batch: 8, Loss: 6.389956951141357
Batch: 9, Loss: 6.201828956604004
Batch: 10, Loss: 5.964906215667725
Batch: 11, Loss: 6.164230823516846
Batch: 12, Loss: 6.038805961608887
Batch: 13, Loss: 5.824950218200684
Batch: 14, Loss: 5.93894624710083

Epoch 597 out of 2000Batch: 1, Loss: 6.5437211990356445
Batch: 2, Loss: 6.209537029266357
Batch: 3, Loss: 6.0037312507629395
Batch: 4, Loss: 5.922103404998779
Batch: 5, Loss: 5.9680962562561035
Batch: 6, Loss: 6.201882839202881
Batch: 7, Loss: 6.3857550621032715
Batch: 8, Loss: 6.380973815917969
Batch: 9, Loss: 6.1447577476501465
Batch: 10, Loss: 6.077059268951416
Batch: 11, Loss: 5.795031547546387
Batch: 12, Loss: 5.9908318519592285
Batch: 13, Loss: 6.292138576507568
Batch: 14, Loss: 6.2382683753967285

Epoch 598 out of 2000Batch: 1, Loss: 5.983327865600586
Batch: 2, Loss: 5.789183139801025
Batch: 3, Loss: 5.7045063972473145
Batch: 4, Loss: 5.96419620513916
Batch: 5, Loss: 6.002142906188965
Batch: 6, Loss: 5.747313022613525
Batch: 7, Loss: 5.997235298156738
Batch: 8, Loss: 5.91249418258667
Batch: 9, Loss: 5.83603048324585
Batch: 10, Loss: 5.771358966827393
Batch: 11, Loss: 6.446664333343506
Batch: 12, Loss: 5.748587608337402
Batch: 13, Loss: 5.987159252166748
Batch: 14, Loss: 6.3458404541015625

Epoch 599 out of 2000Batch: 1, Loss: 5.4745001792907715
Batch: 2, Loss: 5.659768104553223
Batch: 3, Loss: 5.217613697052002
Batch: 4, Loss: 5.50096321105957
Batch: 5, Loss: 5.096746444702148
Batch: 6, Loss: 5.2092180252075195
Batch: 7, Loss: 5.437830924987793
Batch: 8, Loss: 4.612438201904297
Batch: 9, Loss: 5.179749011993408
Batch: 10, Loss: 5.46799373626709
Batch: 11, Loss: 5.295320510864258
Batch: 12, Loss: 5.334351539611816
Batch: 13, Loss: 5.393739223480225
Batch: 14, Loss: 5.101101875305176

Epoch 600 out of 2000Batch: 1, Loss: 6.4741034507751465
Batch: 2, Loss: 6.1611199378967285
Batch: 3, Loss: 5.589921474456787
Batch: 4, Loss: 6.231112957000732
Batch: 5, Loss: 6.021329879760742
Batch: 6, Loss: 5.885127067565918
Batch: 7, Loss: 5.98874044418335
Batch: 8, Loss: 5.820462226867676
Batch: 9, Loss: 5.8439788818359375
Batch: 10, Loss: 6.111824989318848
Batch: 11, Loss: 6.201627254486084
Batch: 12, Loss: 5.818469047546387
Batch: 13, Loss: 6.209476470947266
Batch: 14, Loss: 5.5030388832092285

Epoch 601 out of 2000Batch: 1, Loss: 5.861647129058838
Batch: 2, Loss: 5.520630836486816
Batch: 3, Loss: 5.8895673751831055
Batch: 4, Loss: 6.058282852172852
Batch: 5, Loss: 5.993258953094482
Batch: 6, Loss: 5.997297763824463
Batch: 7, Loss: 5.784852504730225
Batch: 8, Loss: 5.932950019836426
Batch: 9, Loss: 5.810275077819824
Batch: 10, Loss: 6.131369590759277
Batch: 11, Loss: 5.745016098022461
Batch: 12, Loss: 5.775306224822998
Batch: 13, Loss: 6.075435638427734
Batch: 14, Loss: 6.190431594848633

Epoch 602 out of 2000Batch: 1, Loss: 5.454998970031738
Batch: 2, Loss: 6.1141533851623535
Batch: 3, Loss: 5.5156731605529785
Batch: 4, Loss: 5.402673721313477
Batch: 5, Loss: 5.731498718261719
Batch: 6, Loss: 5.780442714691162
Batch: 7, Loss: 5.957315444946289
Batch: 8, Loss: 5.324268817901611
Batch: 9, Loss: 5.230759143829346
Batch: 10, Loss: 5.866434097290039
Batch: 11, Loss: 5.1502180099487305
Batch: 12, Loss: 5.453218936920166
Batch: 13, Loss: 5.9269280433654785
Batch: 14, Loss: 5.504762172698975

Epoch 603 out of 2000Batch: 1, Loss: 5.1917338371276855
Batch: 2, Loss: 5.262153625488281
Batch: 3, Loss: 4.930820465087891
Batch: 4, Loss: 5.143431663513184
Batch: 5, Loss: 5.313474178314209
Batch: 6, Loss: 4.820514678955078
Batch: 7, Loss: 4.825016021728516
Batch: 8, Loss: 5.312485218048096
Batch: 9, Loss: 4.808278560638428
Batch: 10, Loss: 4.9570794105529785
Batch: 11, Loss: 5.188908100128174
Batch: 12, Loss: 5.353921890258789
Batch: 13, Loss: 4.954995155334473
Batch: 14, Loss: 5.401672840118408

Epoch 604 out of 2000Batch: 1, Loss: 5.63661527633667
Batch: 2, Loss: 6.146806240081787
Batch: 3, Loss: 6.28157901763916
Batch: 4, Loss: 5.807708263397217
Batch: 5, Loss: 5.246770858764648
Batch: 6, Loss: 5.6860127449035645
Batch: 7, Loss: 6.215700626373291
Batch: 8, Loss: 5.921084880828857
Batch: 9, Loss: 5.8926005363464355
Batch: 10, Loss: 5.869475364685059
Batch: 11, Loss: 5.891446590423584
Batch: 12, Loss: 6.255776882171631
Batch: 13, Loss: 5.4745378494262695
Batch: 14, Loss: 5.693879127502441

Epoch 605 out of 2000Batch: 1, Loss: 6.159785270690918
Batch: 2, Loss: 5.911785125732422
Batch: 3, Loss: 5.902257919311523
Batch: 4, Loss: 6.304255962371826
Batch: 5, Loss: 6.089716911315918
Batch: 6, Loss: 5.32534122467041
Batch: 7, Loss: 5.985336780548096
Batch: 8, Loss: 6.096446514129639
Batch: 9, Loss: 6.346246242523193
Batch: 10, Loss: 5.746340274810791
Batch: 11, Loss: 5.969264507293701
Batch: 12, Loss: 5.481586933135986
Batch: 13, Loss: 5.910388946533203
Batch: 14, Loss: 5.671294689178467

Epoch 606 out of 2000Batch: 1, Loss: 5.600776195526123
Batch: 2, Loss: 5.7138800621032715
Batch: 3, Loss: 5.541014194488525
Batch: 4, Loss: 5.725095272064209
Batch: 5, Loss: 5.740456581115723
Batch: 6, Loss: 5.816411972045898
Batch: 7, Loss: 5.2970685958862305
Batch: 8, Loss: 5.2664666175842285
Batch: 9, Loss: 5.822372913360596
Batch: 10, Loss: 6.014023780822754
Batch: 11, Loss: 5.943261623382568
Batch: 12, Loss: 5.5713582038879395
Batch: 13, Loss: 5.738905429840088
Batch: 14, Loss: 4.810365200042725

Epoch 607 out of 2000Batch: 1, Loss: 5.795760631561279
Batch: 2, Loss: 5.66104793548584
Batch: 3, Loss: 5.6803131103515625
Batch: 4, Loss: 5.487503528594971
Batch: 5, Loss: 5.316340923309326
Batch: 6, Loss: 5.4599690437316895
Batch: 7, Loss: 5.329481601715088
Batch: 8, Loss: 5.874053955078125
Batch: 9, Loss: 5.223130702972412
Batch: 10, Loss: 4.992524147033691
Batch: 11, Loss: 5.318272113800049
Batch: 12, Loss: 5.423433780670166
Batch: 13, Loss: 5.379280090332031
Batch: 14, Loss: 5.336001396179199

Epoch 608 out of 2000Batch: 1, Loss: 5.345688819885254
Batch: 2, Loss: 5.238465309143066
Batch: 3, Loss: 5.269717693328857
Batch: 4, Loss: 5.71107292175293
Batch: 5, Loss: 5.2250447273254395
Batch: 6, Loss: 5.0320539474487305
Batch: 7, Loss: 5.010747909545898
Batch: 8, Loss: 4.905857563018799
Batch: 9, Loss: 4.798566818237305
Batch: 10, Loss: 5.7133331298828125
Batch: 11, Loss: 5.333424091339111
Batch: 12, Loss: 4.712721824645996
Batch: 13, Loss: 5.041547775268555
Batch: 14, Loss: 5.198127269744873

Epoch 609 out of 2000Batch: 1, Loss: 5.400160789489746
Batch: 2, Loss: 5.894250392913818
Batch: 3, Loss: 5.872073650360107
Batch: 4, Loss: 5.745044231414795
Batch: 5, Loss: 5.559991836547852
Batch: 6, Loss: 5.696378231048584
Batch: 7, Loss: 5.925589084625244
Batch: 8, Loss: 6.018472194671631
Batch: 9, Loss: 5.652324199676514
Batch: 10, Loss: 5.971177101135254
Batch: 11, Loss: 5.882996082305908
Batch: 12, Loss: 6.0135064125061035
Batch: 13, Loss: 5.621059417724609
Batch: 14, Loss: 5.923891067504883

Epoch 610 out of 2000Batch: 1, Loss: 4.943579196929932
Batch: 2, Loss: 5.3844428062438965
Batch: 3, Loss: 5.423367977142334
Batch: 4, Loss: 5.005255222320557
Batch: 5, Loss: 5.239643096923828
Batch: 6, Loss: 5.412503719329834
Batch: 7, Loss: 5.248473644256592
Batch: 8, Loss: 5.293420314788818
Batch: 9, Loss: 5.10807466506958
Batch: 10, Loss: 5.279160022735596
Batch: 11, Loss: 5.364659786224365
Batch: 12, Loss: 5.362005233764648
Batch: 13, Loss: 4.951752185821533
Batch: 14, Loss: 5.198177337646484

Epoch 611 out of 2000Batch: 1, Loss: 5.738320350646973
Batch: 2, Loss: 5.190683364868164
Batch: 3, Loss: 5.384951591491699
Batch: 4, Loss: 5.612239360809326
Batch: 5, Loss: 5.0079569816589355
Batch: 6, Loss: 4.949696063995361
Batch: 7, Loss: 5.1935296058654785
Batch: 8, Loss: 4.894403457641602
Batch: 9, Loss: 5.346858978271484
Batch: 10, Loss: 5.404874324798584
Batch: 11, Loss: 5.40540075302124
Batch: 12, Loss: 5.032299995422363
Batch: 13, Loss: 5.4379496574401855
Batch: 14, Loss: 5.159598350524902

Epoch 612 out of 2000Batch: 1, Loss: 5.550368309020996
Batch: 2, Loss: 5.773383140563965
Batch: 3, Loss: 6.126490592956543
Batch: 4, Loss: 5.5544328689575195
Batch: 5, Loss: 5.501533031463623
Batch: 6, Loss: 5.389971733093262
Batch: 7, Loss: 5.475401401519775
Batch: 8, Loss: 5.85747766494751
Batch: 9, Loss: 5.4877753257751465
Batch: 10, Loss: 5.718272686004639
Batch: 11, Loss: 5.5170369148254395
Batch: 12, Loss: 5.640356063842773
Batch: 13, Loss: 5.607705116271973
Batch: 14, Loss: 5.668063163757324

Epoch 613 out of 2000Batch: 1, Loss: 6.565683364868164
Batch: 2, Loss: 6.152899265289307
Batch: 3, Loss: 6.033501148223877
Batch: 4, Loss: 5.787245750427246
Batch: 5, Loss: 5.899385452270508
Batch: 6, Loss: 6.123468399047852
Batch: 7, Loss: 5.948754787445068
Batch: 8, Loss: 5.534082889556885
Batch: 9, Loss: 6.177994728088379
Batch: 10, Loss: 5.803995132446289
Batch: 11, Loss: 5.869945526123047
Batch: 12, Loss: 5.599618434906006
Batch: 13, Loss: 5.859424114227295
Batch: 14, Loss: 5.976693153381348

Epoch 614 out of 2000Batch: 1, Loss: 6.321174621582031
Batch: 2, Loss: 6.146721363067627
Batch: 3, Loss: 6.160313129425049
Batch: 4, Loss: 6.190523624420166
Batch: 5, Loss: 6.041278839111328
Batch: 6, Loss: 6.094881534576416
Batch: 7, Loss: 6.103588581085205
Batch: 8, Loss: 5.855546474456787
Batch: 9, Loss: 6.166130065917969
Batch: 10, Loss: 6.003057479858398
Batch: 11, Loss: 5.62569522857666
Batch: 12, Loss: 6.212452411651611
Batch: 13, Loss: 5.578989028930664
Batch: 14, Loss: 6.560547828674316

Epoch 615 out of 2000Batch: 1, Loss: 5.579435348510742
Batch: 2, Loss: 5.850823402404785
Batch: 3, Loss: 5.61476993560791
Batch: 4, Loss: 5.91912841796875
Batch: 5, Loss: 5.579008102416992
Batch: 6, Loss: 5.484389305114746
Batch: 7, Loss: 5.856581687927246
Batch: 8, Loss: 5.442727088928223
Batch: 9, Loss: 5.730050563812256
Batch: 10, Loss: 6.089267253875732
Batch: 11, Loss: 5.479638576507568
Batch: 12, Loss: 5.591500282287598
Batch: 13, Loss: 5.570193290710449
Batch: 14, Loss: 5.512710094451904

Epoch 616 out of 2000Batch: 1, Loss: 5.656013488769531
Batch: 2, Loss: 5.75164794921875
Batch: 3, Loss: 5.894771099090576
Batch: 4, Loss: 5.858669757843018
Batch: 5, Loss: 5.122513771057129
Batch: 6, Loss: 5.736125946044922
Batch: 7, Loss: 5.203052997589111
Batch: 8, Loss: 5.975282192230225
Batch: 9, Loss: 5.5805792808532715
Batch: 10, Loss: 5.230677127838135
Batch: 11, Loss: 5.7741780281066895
Batch: 12, Loss: 5.54616117477417
Batch: 13, Loss: 5.793450355529785
Batch: 14, Loss: 5.690904140472412

Epoch 617 out of 2000Batch: 1, Loss: 5.8877458572387695
Batch: 2, Loss: 5.475391864776611
Batch: 3, Loss: 5.79978609085083
Batch: 4, Loss: 5.654968738555908
Batch: 5, Loss: 5.649216651916504
Batch: 6, Loss: 5.305325508117676
Batch: 7, Loss: 5.806515693664551
Batch: 8, Loss: 5.728281021118164
Batch: 9, Loss: 5.746535778045654
Batch: 10, Loss: 5.893442630767822
Batch: 11, Loss: 5.720500469207764
Batch: 12, Loss: 5.855672359466553
Batch: 13, Loss: 5.671597003936768
Batch: 14, Loss: 6.4258036613464355

Epoch 618 out of 2000Batch: 1, Loss: 5.80361795425415
Batch: 2, Loss: 6.197017669677734
Batch: 3, Loss: 5.954567909240723
Batch: 4, Loss: 5.5925211906433105
Batch: 5, Loss: 6.010110378265381
Batch: 6, Loss: 6.047441005706787
Batch: 7, Loss: 5.980594635009766
Batch: 8, Loss: 5.976402759552002
Batch: 9, Loss: 5.766754150390625
Batch: 10, Loss: 5.782832622528076
Batch: 11, Loss: 5.871832847595215
Batch: 12, Loss: 6.031498432159424
Batch: 13, Loss: 5.302996635437012
Batch: 14, Loss: 5.7130126953125

Epoch 619 out of 2000Batch: 1, Loss: 6.115675926208496
Batch: 2, Loss: 6.074337959289551
Batch: 3, Loss: 5.5373663902282715
Batch: 4, Loss: 5.901374340057373
Batch: 5, Loss: 6.051263332366943
Batch: 6, Loss: 6.00824499130249
Batch: 7, Loss: 6.213720798492432
Batch: 8, Loss: 5.871274471282959
Batch: 9, Loss: 6.226546764373779
Batch: 10, Loss: 5.805595874786377
Batch: 11, Loss: 5.955880641937256
Batch: 12, Loss: 5.8111042976379395
Batch: 13, Loss: 5.691221714019775
Batch: 14, Loss: 5.510212421417236

Epoch 620 out of 2000Batch: 1, Loss: 6.405364036560059
Batch: 2, Loss: 6.490016937255859
Batch: 3, Loss: 6.455962657928467
Batch: 4, Loss: 6.273191452026367
Batch: 5, Loss: 6.599508285522461
Batch: 6, Loss: 6.107276916503906
Batch: 7, Loss: 5.900364398956299
Batch: 8, Loss: 6.26859712600708
Batch: 9, Loss: 6.338284015655518
Batch: 10, Loss: 6.741952419281006
Batch: 11, Loss: 6.103455066680908
Batch: 12, Loss: 5.984803199768066
Batch: 13, Loss: 6.373260974884033
Batch: 14, Loss: 5.930060386657715

Epoch 621 out of 2000Batch: 1, Loss: 5.8252410888671875
Batch: 2, Loss: 5.715078353881836
Batch: 3, Loss: 6.549405574798584
Batch: 4, Loss: 6.130975723266602
Batch: 5, Loss: 6.089707851409912
Batch: 6, Loss: 5.933992385864258
Batch: 7, Loss: 6.115349769592285
Batch: 8, Loss: 5.801591873168945
Batch: 9, Loss: 5.912714004516602
Batch: 10, Loss: 5.9063825607299805
Batch: 11, Loss: 5.594427585601807
Batch: 12, Loss: 6.01962423324585
Batch: 13, Loss: 5.901480674743652
Batch: 14, Loss: 5.878917694091797

Epoch 622 out of 2000Batch: 1, Loss: 5.467079162597656
Batch: 2, Loss: 5.606369972229004
Batch: 3, Loss: 5.696374416351318
Batch: 4, Loss: 5.499576568603516
Batch: 5, Loss: 5.458792686462402
Batch: 6, Loss: 5.7233147621154785
Batch: 7, Loss: 5.7057390213012695
Batch: 8, Loss: 5.380284309387207
Batch: 9, Loss: 5.287727355957031
Batch: 10, Loss: 5.695872783660889
Batch: 11, Loss: 4.938204288482666
Batch: 12, Loss: 5.221737861633301
Batch: 13, Loss: 5.170009136199951
Batch: 14, Loss: 5.27333402633667

Epoch 623 out of 2000Batch: 1, Loss: 5.790893077850342
Batch: 2, Loss: 5.915354251861572
Batch: 3, Loss: 5.430424690246582
Batch: 4, Loss: 6.318432331085205
Batch: 5, Loss: 5.940990447998047
Batch: 6, Loss: 5.800405502319336
Batch: 7, Loss: 5.995357513427734
Batch: 8, Loss: 5.774760723114014
Batch: 9, Loss: 5.803266525268555
Batch: 10, Loss: 6.1953582763671875
Batch: 11, Loss: 6.144576072692871
Batch: 12, Loss: 6.055595874786377
Batch: 13, Loss: 5.684317111968994
Batch: 14, Loss: 5.324300289154053

Epoch 624 out of 2000Batch: 1, Loss: 5.196351051330566
Batch: 2, Loss: 5.473471164703369
Batch: 3, Loss: 5.762599468231201
Batch: 4, Loss: 5.656440258026123
Batch: 5, Loss: 5.556031703948975
Batch: 6, Loss: 5.651763439178467
Batch: 7, Loss: 5.211312770843506
Batch: 8, Loss: 5.569583892822266
Batch: 9, Loss: 5.238736152648926
Batch: 10, Loss: 5.356117248535156
Batch: 11, Loss: 5.371462345123291
Batch: 12, Loss: 5.122661590576172
Batch: 13, Loss: 5.350143909454346
Batch: 14, Loss: 5.310760498046875

Epoch 625 out of 2000Batch: 1, Loss: 5.588662147521973
Batch: 2, Loss: 5.39296293258667
Batch: 3, Loss: 5.88749885559082
Batch: 4, Loss: 5.704846382141113
Batch: 5, Loss: 5.612919330596924
Batch: 6, Loss: 5.593883037567139
Batch: 7, Loss: 5.730410099029541
Batch: 8, Loss: 5.4856719970703125
Batch: 9, Loss: 5.518792629241943
Batch: 10, Loss: 5.801701545715332
Batch: 11, Loss: 5.23930025100708
Batch: 12, Loss: 5.782143592834473
Batch: 13, Loss: 5.923484802246094
Batch: 14, Loss: 5.577883243560791

Epoch 626 out of 2000Batch: 1, Loss: 4.881227970123291
Batch: 2, Loss: 5.313453674316406
Batch: 3, Loss: 5.1979451179504395
Batch: 4, Loss: 5.435324668884277
Batch: 5, Loss: 5.346848011016846
Batch: 6, Loss: 5.172837734222412
Batch: 7, Loss: 4.972038269042969
Batch: 8, Loss: 5.320259094238281
Batch: 9, Loss: 4.964014053344727
Batch: 10, Loss: 4.807453632354736
Batch: 11, Loss: 5.09080171585083
Batch: 12, Loss: 5.105987548828125
Batch: 13, Loss: 5.247340202331543
Batch: 14, Loss: 5.220181465148926

Epoch 627 out of 2000Batch: 1, Loss: 5.928675651550293
Batch: 2, Loss: 6.736863136291504
Batch: 3, Loss: 6.787254810333252
Batch: 4, Loss: 6.007409572601318
Batch: 5, Loss: 6.048734664916992
Batch: 6, Loss: 6.453385829925537
Batch: 7, Loss: 6.241374492645264
Batch: 8, Loss: 6.139451503753662
Batch: 9, Loss: 5.943172454833984
Batch: 10, Loss: 6.083896160125732
Batch: 11, Loss: 5.968822479248047
Batch: 12, Loss: 6.348650932312012
Batch: 13, Loss: 5.917023181915283
Batch: 14, Loss: 6.222183704376221

Epoch 628 out of 2000Batch: 1, Loss: 5.594666004180908
Batch: 2, Loss: 5.405612468719482
Batch: 3, Loss: 5.679034233093262
Batch: 4, Loss: 6.268144130706787
Batch: 5, Loss: 5.809621810913086
Batch: 6, Loss: 6.1290178298950195
Batch: 7, Loss: 5.60660457611084
Batch: 8, Loss: 5.769118785858154
Batch: 9, Loss: 6.321779727935791
Batch: 10, Loss: 6.40791654586792
Batch: 11, Loss: 5.409667491912842
Batch: 12, Loss: 5.750717639923096
Batch: 13, Loss: 5.82390832901001
Batch: 14, Loss: 5.586389541625977

Epoch 629 out of 2000Batch: 1, Loss: 5.432340621948242
Batch: 2, Loss: 5.520126819610596
Batch: 3, Loss: 5.316555500030518
Batch: 4, Loss: 5.40648078918457
Batch: 5, Loss: 5.444466590881348
Batch: 6, Loss: 5.562518119812012
Batch: 7, Loss: 5.817680835723877
Batch: 8, Loss: 5.42824125289917
Batch: 9, Loss: 5.1327056884765625
Batch: 10, Loss: 5.6294121742248535
Batch: 11, Loss: 5.415781021118164
Batch: 12, Loss: 5.634048938751221
Batch: 13, Loss: 5.464669227600098
Batch: 14, Loss: 5.585799217224121

Epoch 630 out of 2000Batch: 1, Loss: 5.41383695602417
Batch: 2, Loss: 4.5604987144470215
Batch: 3, Loss: 5.091519832611084
Batch: 4, Loss: 5.195029258728027
Batch: 5, Loss: 4.560033321380615
Batch: 6, Loss: 5.222290992736816
Batch: 7, Loss: 5.531230449676514
Batch: 8, Loss: 5.1947503089904785
Batch: 9, Loss: 5.320151329040527
Batch: 10, Loss: 5.348484039306641
Batch: 11, Loss: 4.98915958404541
Batch: 12, Loss: 5.444619655609131
Batch: 13, Loss: 5.26132869720459
Batch: 14, Loss: 5.353447437286377

Epoch 631 out of 2000Batch: 1, Loss: 6.879831790924072
Batch: 2, Loss: 6.261646747589111
Batch: 3, Loss: 6.765611171722412
Batch: 4, Loss: 7.112990856170654
Batch: 5, Loss: 6.373098373413086
Batch: 6, Loss: 6.715141296386719
Batch: 7, Loss: 6.617527961730957
Batch: 8, Loss: 6.741659641265869
Batch: 9, Loss: 6.427386283874512
Batch: 10, Loss: 6.811426162719727
Batch: 11, Loss: 6.5586137771606445
Batch: 12, Loss: 6.27586555480957
Batch: 13, Loss: 6.731955528259277
Batch: 14, Loss: 6.943981170654297

Epoch 632 out of 2000Batch: 1, Loss: 6.234646797180176
Batch: 2, Loss: 5.389352798461914
Batch: 3, Loss: 5.65779972076416
Batch: 4, Loss: 5.512355804443359
Batch: 5, Loss: 5.9514970779418945
Batch: 6, Loss: 6.05538272857666
Batch: 7, Loss: 5.638046741485596
Batch: 8, Loss: 5.714519500732422
Batch: 9, Loss: 5.265977382659912
Batch: 10, Loss: 5.482969284057617
Batch: 11, Loss: 5.688473701477051
Batch: 12, Loss: 5.6356282234191895
Batch: 13, Loss: 5.836588382720947
Batch: 14, Loss: 5.299986362457275

Epoch 633 out of 2000Batch: 1, Loss: 5.9802446365356445
Batch: 2, Loss: 5.587914943695068
Batch: 3, Loss: 5.387645721435547
Batch: 4, Loss: 5.491059303283691
Batch: 5, Loss: 5.913994312286377
Batch: 6, Loss: 5.839984893798828
Batch: 7, Loss: 5.850200653076172
Batch: 8, Loss: 5.604735851287842
Batch: 9, Loss: 6.145168304443359
Batch: 10, Loss: 6.04660701751709
Batch: 11, Loss: 5.752043724060059
Batch: 12, Loss: 5.331376552581787
Batch: 13, Loss: 5.505936622619629
Batch: 14, Loss: 5.703090667724609

Epoch 634 out of 2000Batch: 1, Loss: 5.790849208831787
Batch: 2, Loss: 6.029534816741943
Batch: 3, Loss: 6.090511322021484
Batch: 4, Loss: 5.836894512176514
Batch: 5, Loss: 5.85842227935791
Batch: 6, Loss: 6.0470685958862305
Batch: 7, Loss: 5.736721515655518
Batch: 8, Loss: 5.927745819091797
Batch: 9, Loss: 6.1102495193481445
Batch: 10, Loss: 6.04175329208374
Batch: 11, Loss: 5.948896884918213
Batch: 12, Loss: 5.621764659881592
Batch: 13, Loss: 6.007858753204346
Batch: 14, Loss: 5.993204116821289

Epoch 635 out of 2000Batch: 1, Loss: 5.469395160675049
Batch: 2, Loss: 5.0409064292907715
Batch: 3, Loss: 5.582280158996582
Batch: 4, Loss: 5.3794660568237305
Batch: 5, Loss: 5.088093280792236
Batch: 6, Loss: 5.171647548675537
Batch: 7, Loss: 5.6712822914123535
Batch: 8, Loss: 5.150745391845703
Batch: 9, Loss: 5.199543476104736
Batch: 10, Loss: 5.0711870193481445
Batch: 11, Loss: 5.010186672210693
Batch: 12, Loss: 4.954651355743408
Batch: 13, Loss: 5.260263442993164
Batch: 14, Loss: 5.587210178375244

Epoch 636 out of 2000Batch: 1, Loss: 6.690173149108887
Batch: 2, Loss: 7.167913913726807
Batch: 3, Loss: 7.327790260314941
Batch: 4, Loss: 6.661275863647461
Batch: 5, Loss: 6.168669700622559
Batch: 6, Loss: 6.787684917449951
Batch: 7, Loss: 6.331903457641602
Batch: 8, Loss: 6.486928462982178
Batch: 9, Loss: 5.942548751831055
Batch: 10, Loss: 6.375540733337402
Batch: 11, Loss: 6.231651782989502
Batch: 12, Loss: 6.348929405212402
Batch: 13, Loss: 6.414465427398682
Batch: 14, Loss: 6.193308353424072

Epoch 637 out of 2000Batch: 1, Loss: 5.173275470733643
Batch: 2, Loss: 4.700088024139404
Batch: 3, Loss: 4.9948506355285645
Batch: 4, Loss: 4.828003406524658
Batch: 5, Loss: 4.862234115600586
Batch: 6, Loss: 4.708252429962158
Batch: 7, Loss: 4.951953411102295
Batch: 8, Loss: 4.888576984405518
Batch: 9, Loss: 4.720625877380371
Batch: 10, Loss: 4.413852691650391
Batch: 11, Loss: 4.396147727966309
Batch: 12, Loss: 4.79407262802124
Batch: 13, Loss: 4.674121379852295
Batch: 14, Loss: 4.76761531829834

Epoch 638 out of 2000Batch: 1, Loss: 7.394962787628174
Batch: 2, Loss: 6.665863990783691
Batch: 3, Loss: 6.704786777496338
Batch: 4, Loss: 6.8416619300842285
Batch: 5, Loss: 7.071994304656982
Batch: 6, Loss: 6.564250946044922
Batch: 7, Loss: 5.710878849029541
Batch: 8, Loss: 6.307288646697998
Batch: 9, Loss: 6.563025951385498
Batch: 10, Loss: 6.3607330322265625
Batch: 11, Loss: 6.669826030731201
Batch: 12, Loss: 6.609862804412842
Batch: 13, Loss: 6.526768684387207
Batch: 14, Loss: 6.059025764465332

Epoch 639 out of 2000Batch: 1, Loss: 5.616988182067871
Batch: 2, Loss: 5.171343803405762
Batch: 3, Loss: 5.236839771270752
Batch: 4, Loss: 5.377292633056641
Batch: 5, Loss: 5.157537937164307
Batch: 6, Loss: 5.261296272277832
Batch: 7, Loss: 5.7669878005981445
Batch: 8, Loss: 5.4567718505859375
Batch: 9, Loss: 5.192239284515381
Batch: 10, Loss: 5.846351623535156
Batch: 11, Loss: 5.458532810211182
Batch: 12, Loss: 5.246592044830322
Batch: 13, Loss: 5.274102687835693
Batch: 14, Loss: 5.48255729675293

Epoch 640 out of 2000Batch: 1, Loss: 6.455333709716797
Batch: 2, Loss: 6.421581745147705
Batch: 3, Loss: 6.347236633300781
Batch: 4, Loss: 6.275487899780273
Batch: 5, Loss: 6.029376029968262
Batch: 6, Loss: 6.126082420349121
Batch: 7, Loss: 6.017169952392578
Batch: 8, Loss: 6.118889331817627
Batch: 9, Loss: 5.778478622436523
Batch: 10, Loss: 5.746446132659912
Batch: 11, Loss: 5.951982498168945
Batch: 12, Loss: 5.657616138458252
Batch: 13, Loss: 6.345008373260498
Batch: 14, Loss: 5.81318998336792

Epoch 641 out of 2000Batch: 1, Loss: 5.716550827026367
Batch: 2, Loss: 5.334538459777832
Batch: 3, Loss: 5.636641502380371
Batch: 4, Loss: 5.21615743637085
Batch: 5, Loss: 5.57242488861084
Batch: 6, Loss: 5.4925737380981445
Batch: 7, Loss: 5.6606645584106445
Batch: 8, Loss: 5.371293544769287
Batch: 9, Loss: 5.718544960021973
Batch: 10, Loss: 5.073385715484619
Batch: 11, Loss: 5.755038261413574
Batch: 12, Loss: 5.767317771911621
Batch: 13, Loss: 5.254568099975586
Batch: 14, Loss: 5.442623615264893

Epoch 642 out of 2000Batch: 1, Loss: 5.5520100593566895
Batch: 2, Loss: 5.452587604522705
Batch: 3, Loss: 5.807040214538574
Batch: 4, Loss: 5.8825531005859375
Batch: 5, Loss: 5.904834747314453
Batch: 6, Loss: 5.770061016082764
Batch: 7, Loss: 5.804245471954346
Batch: 8, Loss: 5.60666561126709
Batch: 9, Loss: 5.225671768188477
Batch: 10, Loss: 5.501462459564209
Batch: 11, Loss: 5.327287197113037
Batch: 12, Loss: 5.675421714782715
Batch: 13, Loss: 5.660368919372559
Batch: 14, Loss: 5.846523284912109

Epoch 643 out of 2000Batch: 1, Loss: 5.875037670135498
Batch: 2, Loss: 5.5430498123168945
Batch: 3, Loss: 5.2449164390563965
Batch: 4, Loss: 5.674313545227051
Batch: 5, Loss: 5.39280891418457
Batch: 6, Loss: 5.683139324188232
Batch: 7, Loss: 5.353250980377197
Batch: 8, Loss: 5.377962112426758
Batch: 9, Loss: 5.759668350219727
Batch: 10, Loss: 5.680514335632324
Batch: 11, Loss: 5.839260101318359
Batch: 12, Loss: 5.456490993499756
Batch: 13, Loss: 5.079341411590576
Batch: 14, Loss: 5.092003345489502

Epoch 644 out of 2000Batch: 1, Loss: 5.224493980407715
Batch: 2, Loss: 5.348007678985596
Batch: 3, Loss: 4.951069355010986
Batch: 4, Loss: 4.8187408447265625
Batch: 5, Loss: 4.957239151000977
Batch: 6, Loss: 4.816891670227051
Batch: 7, Loss: 5.001842021942139
Batch: 8, Loss: 5.098726272583008
Batch: 9, Loss: 4.883674144744873
Batch: 10, Loss: 5.54714298248291
Batch: 11, Loss: 5.464067459106445
Batch: 12, Loss: 4.985518455505371
Batch: 13, Loss: 4.66793155670166
Batch: 14, Loss: 5.105497360229492

Epoch 645 out of 2000Batch: 1, Loss: 5.859495162963867
Batch: 2, Loss: 6.142454147338867
Batch: 3, Loss: 5.965176582336426
Batch: 4, Loss: 6.134001731872559
Batch: 5, Loss: 5.8304667472839355
Batch: 6, Loss: 5.75211238861084
Batch: 7, Loss: 6.023488998413086
Batch: 8, Loss: 6.122810363769531
Batch: 9, Loss: 6.044790744781494
Batch: 10, Loss: 6.043363094329834
Batch: 11, Loss: 5.670841217041016
Batch: 12, Loss: 5.8577189445495605
Batch: 13, Loss: 5.5769829750061035
Batch: 14, Loss: 6.167886257171631

Epoch 646 out of 2000Batch: 1, Loss: 5.94563627243042
Batch: 2, Loss: 5.105209827423096
Batch: 3, Loss: 5.799935340881348
Batch: 4, Loss: 5.919780254364014
Batch: 5, Loss: 5.475775718688965
Batch: 6, Loss: 5.545638561248779
Batch: 7, Loss: 5.674391746520996
Batch: 8, Loss: 5.586115837097168
Batch: 9, Loss: 5.6435956954956055
Batch: 10, Loss: 6.05288553237915
Batch: 11, Loss: 5.621423244476318
Batch: 12, Loss: 5.781646728515625
Batch: 13, Loss: 5.582930088043213
Batch: 14, Loss: 5.412022113800049

Epoch 647 out of 2000Batch: 1, Loss: 6.449156284332275
Batch: 2, Loss: 6.1652703285217285
Batch: 3, Loss: 5.673765659332275
Batch: 4, Loss: 6.132096290588379
Batch: 5, Loss: 6.473828315734863
Batch: 6, Loss: 5.837161064147949
Batch: 7, Loss: 6.124944686889648
Batch: 8, Loss: 6.2675981521606445
Batch: 9, Loss: 5.596903324127197
Batch: 10, Loss: 5.754164218902588
Batch: 11, Loss: 5.757033348083496
Batch: 12, Loss: 5.639591217041016
Batch: 13, Loss: 6.303641319274902
Batch: 14, Loss: 6.0298871994018555

Epoch 648 out of 2000Batch: 1, Loss: 5.948818683624268
Batch: 2, Loss: 6.591747760772705
Batch: 3, Loss: 6.329269886016846
Batch: 4, Loss: 6.233395576477051
Batch: 5, Loss: 6.570674419403076
Batch: 6, Loss: 6.141945838928223
Batch: 7, Loss: 6.33069372177124
Batch: 8, Loss: 6.505183696746826
Batch: 9, Loss: 6.604548454284668
Batch: 10, Loss: 6.557187557220459
Batch: 11, Loss: 6.355014324188232
Batch: 12, Loss: 6.485533237457275
Batch: 13, Loss: 6.6111836433410645
Batch: 14, Loss: 6.408559322357178

Epoch 649 out of 2000Batch: 1, Loss: 5.540220737457275
Batch: 2, Loss: 5.598176002502441
Batch: 3, Loss: 5.405594348907471
Batch: 4, Loss: 5.394640922546387
Batch: 5, Loss: 5.503081798553467
Batch: 6, Loss: 5.6008620262146
Batch: 7, Loss: 5.646274089813232
Batch: 8, Loss: 4.957261562347412
Batch: 9, Loss: 5.183431148529053
Batch: 10, Loss: 5.371079444885254
Batch: 11, Loss: 5.090453624725342
Batch: 12, Loss: 5.2339677810668945
Batch: 13, Loss: 4.983936786651611
Batch: 14, Loss: 5.383164882659912

Epoch 650 out of 2000Batch: 1, Loss: 6.039342880249023
Batch: 2, Loss: 6.164575576782227
Batch: 3, Loss: 6.379660129547119
Batch: 4, Loss: 6.086190700531006
Batch: 5, Loss: 6.61462926864624
Batch: 6, Loss: 6.510884761810303
Batch: 7, Loss: 5.975104808807373
Batch: 8, Loss: 6.37766695022583
Batch: 9, Loss: 6.519252300262451
Batch: 10, Loss: 6.548569202423096
Batch: 11, Loss: 6.309586524963379
Batch: 12, Loss: 6.3564677238464355
Batch: 13, Loss: 6.028635501861572
Batch: 14, Loss: 5.979508876800537

Epoch 651 out of 2000Batch: 1, Loss: 5.637417793273926
Batch: 2, Loss: 5.472579479217529
Batch: 3, Loss: 5.340996265411377
Batch: 4, Loss: 5.772950649261475
Batch: 5, Loss: 5.372312545776367
Batch: 6, Loss: 5.435471057891846
Batch: 7, Loss: 5.5427656173706055
Batch: 8, Loss: 5.784595966339111
Batch: 9, Loss: 5.94446325302124
Batch: 10, Loss: 6.091839790344238
Batch: 11, Loss: 5.679418087005615
Batch: 12, Loss: 5.624490261077881
Batch: 13, Loss: 5.823301792144775
Batch: 14, Loss: 5.49680757522583

Epoch 652 out of 2000Batch: 1, Loss: 6.345929145812988
Batch: 2, Loss: 6.348228931427002
Batch: 3, Loss: 5.977506160736084
Batch: 4, Loss: 6.079156398773193
Batch: 5, Loss: 6.4373345375061035
Batch: 6, Loss: 5.929227828979492
Batch: 7, Loss: 5.845803260803223
Batch: 8, Loss: 6.598944664001465
Batch: 9, Loss: 6.241657257080078
Batch: 10, Loss: 6.313424110412598
Batch: 11, Loss: 5.748586654663086
Batch: 12, Loss: 5.854408264160156
Batch: 13, Loss: 6.049494743347168
Batch: 14, Loss: 6.261778354644775

Epoch 653 out of 2000Batch: 1, Loss: 4.956856727600098
Batch: 2, Loss: 6.053962707519531
Batch: 3, Loss: 5.12889289855957
Batch: 4, Loss: 5.66032600402832
Batch: 5, Loss: 5.811980724334717
Batch: 6, Loss: 5.887646198272705
Batch: 7, Loss: 5.639062404632568
Batch: 8, Loss: 5.911467552185059
Batch: 9, Loss: 5.374808311462402
Batch: 10, Loss: 5.971665859222412
Batch: 11, Loss: 5.955158710479736
Batch: 12, Loss: 5.482429504394531
Batch: 13, Loss: 5.726606845855713
Batch: 14, Loss: 5.50105094909668

Epoch 654 out of 2000Batch: 1, Loss: 5.562228202819824
Batch: 2, Loss: 5.592939376831055
Batch: 3, Loss: 5.888009548187256
Batch: 4, Loss: 5.645817756652832
Batch: 5, Loss: 5.655758380889893
Batch: 6, Loss: 5.587558746337891
Batch: 7, Loss: 5.337379455566406
Batch: 8, Loss: 5.585272312164307
Batch: 9, Loss: 5.437526702880859
Batch: 10, Loss: 5.325234889984131
Batch: 11, Loss: 5.598770618438721
Batch: 12, Loss: 5.796145439147949
Batch: 13, Loss: 5.9619245529174805
Batch: 14, Loss: 5.9445953369140625

Epoch 655 out of 2000Batch: 1, Loss: 6.04893684387207
Batch: 2, Loss: 5.872720718383789
Batch: 3, Loss: 6.304989337921143
Batch: 4, Loss: 6.002058029174805
Batch: 5, Loss: 5.6523566246032715
Batch: 6, Loss: 5.592142105102539
Batch: 7, Loss: 6.22091007232666
Batch: 8, Loss: 5.94516134262085
Batch: 9, Loss: 5.947099685668945
Batch: 10, Loss: 6.078490734100342
Batch: 11, Loss: 5.891124725341797
Batch: 12, Loss: 6.061672210693359
Batch: 13, Loss: 6.012608051300049
Batch: 14, Loss: 5.451218128204346

Epoch 656 out of 2000Batch: 1, Loss: 5.276064872741699
Batch: 2, Loss: 5.437005519866943
Batch: 3, Loss: 5.018313407897949
Batch: 4, Loss: 4.87529993057251
Batch: 5, Loss: 5.343329906463623
Batch: 6, Loss: 4.813244342803955
Batch: 7, Loss: 5.5414228439331055
Batch: 8, Loss: 5.166054725646973
Batch: 9, Loss: 5.05320405960083
Batch: 10, Loss: 5.418266773223877
Batch: 11, Loss: 5.343710899353027
Batch: 12, Loss: 5.212782382965088
Batch: 13, Loss: 4.95143461227417
Batch: 14, Loss: 5.383185386657715

Epoch 657 out of 2000Batch: 1, Loss: 6.6543145179748535
Batch: 2, Loss: 6.310873985290527
Batch: 3, Loss: 6.067370414733887
Batch: 4, Loss: 6.707986354827881
Batch: 5, Loss: 6.435460567474365
Batch: 6, Loss: 6.702123641967773
Batch: 7, Loss: 6.0413594245910645
Batch: 8, Loss: 6.321404933929443
Batch: 9, Loss: 6.6971211433410645
Batch: 10, Loss: 5.916712284088135
Batch: 11, Loss: 6.037595272064209
Batch: 12, Loss: 6.747580528259277
Batch: 13, Loss: 6.013767242431641
Batch: 14, Loss: 5.775769233703613

Epoch 658 out of 2000Batch: 1, Loss: 6.092411994934082
Batch: 2, Loss: 6.078939437866211
Batch: 3, Loss: 5.881396293640137
Batch: 4, Loss: 5.614505290985107
Batch: 5, Loss: 5.9597015380859375
Batch: 6, Loss: 5.796590328216553
Batch: 7, Loss: 5.745281219482422
Batch: 8, Loss: 5.842123985290527
Batch: 9, Loss: 5.807249069213867
Batch: 10, Loss: 6.284960746765137
Batch: 11, Loss: 5.783666133880615
Batch: 12, Loss: 5.88098669052124
Batch: 13, Loss: 6.096600532531738
Batch: 14, Loss: 6.040715217590332

Epoch 659 out of 2000Batch: 1, Loss: 4.781047821044922
Batch: 2, Loss: 4.616549015045166
Batch: 3, Loss: 4.847003936767578
Batch: 4, Loss: 4.926406383514404
Batch: 5, Loss: 5.032742500305176
Batch: 6, Loss: 4.839354038238525
Batch: 7, Loss: 4.740743160247803
Batch: 8, Loss: 4.617570877075195
Batch: 9, Loss: 4.695557117462158
Batch: 10, Loss: 4.988020420074463
Batch: 11, Loss: 4.5447492599487305
Batch: 12, Loss: 4.912441730499268
Batch: 13, Loss: 4.738860607147217
Batch: 14, Loss: 4.6388959884643555

Epoch 660 out of 2000Batch: 1, Loss: 5.870652675628662
Batch: 2, Loss: 5.906777381896973
Batch: 3, Loss: 6.318753242492676
Batch: 4, Loss: 6.026669025421143
Batch: 5, Loss: 5.861457824707031
Batch: 6, Loss: 5.892919063568115
Batch: 7, Loss: 5.684701919555664
Batch: 8, Loss: 5.325109004974365
Batch: 9, Loss: 6.208575248718262
Batch: 10, Loss: 6.000901222229004
Batch: 11, Loss: 6.1998138427734375
Batch: 12, Loss: 5.968876838684082
Batch: 13, Loss: 6.24078893661499
Batch: 14, Loss: 5.780500888824463

Epoch 661 out of 2000Batch: 1, Loss: 5.197713375091553
Batch: 2, Loss: 5.182365894317627
Batch: 3, Loss: 4.938969612121582
Batch: 4, Loss: 5.171266078948975
Batch: 5, Loss: 4.936519622802734
Batch: 6, Loss: 4.99289083480835
Batch: 7, Loss: 4.957923889160156
Batch: 8, Loss: 4.370760917663574
Batch: 9, Loss: 5.044477462768555
Batch: 10, Loss: 4.8480610847473145
Batch: 11, Loss: 4.9698028564453125
Batch: 12, Loss: 4.950751781463623
Batch: 13, Loss: 4.757777214050293
Batch: 14, Loss: 4.71465539932251

Epoch 662 out of 2000Batch: 1, Loss: 6.0543999671936035
Batch: 2, Loss: 6.01391077041626
Batch: 3, Loss: 6.0296502113342285
Batch: 4, Loss: 6.562225341796875
Batch: 5, Loss: 6.07818078994751
Batch: 6, Loss: 6.006560325622559
Batch: 7, Loss: 6.469076156616211
Batch: 8, Loss: 5.987852573394775
Batch: 9, Loss: 5.950994491577148
Batch: 10, Loss: 6.32396125793457
Batch: 11, Loss: 6.247246742248535
Batch: 12, Loss: 6.519365310668945
Batch: 13, Loss: 5.737677574157715
Batch: 14, Loss: 5.664529323577881

Epoch 663 out of 2000Batch: 1, Loss: 5.504209518432617
Batch: 2, Loss: 5.3921942710876465
Batch: 3, Loss: 5.0625762939453125
Batch: 4, Loss: 5.301471710205078
Batch: 5, Loss: 5.431560039520264
Batch: 6, Loss: 4.86520528793335
Batch: 7, Loss: 5.435003280639648
Batch: 8, Loss: 5.341122627258301
Batch: 9, Loss: 5.352734565734863
Batch: 10, Loss: 5.258388042449951
Batch: 11, Loss: 5.04218864440918
Batch: 12, Loss: 5.185406684875488
Batch: 13, Loss: 4.811642646789551
Batch: 14, Loss: 4.592629909515381

Epoch 664 out of 2000Batch: 1, Loss: 5.467671871185303
Batch: 2, Loss: 5.171484470367432
Batch: 3, Loss: 5.4606547355651855
Batch: 4, Loss: 5.192409515380859
Batch: 5, Loss: 6.007446765899658
Batch: 6, Loss: 5.54862642288208
Batch: 7, Loss: 5.407602310180664
Batch: 8, Loss: 5.259519577026367
Batch: 9, Loss: 5.248953819274902
Batch: 10, Loss: 5.001218318939209
Batch: 11, Loss: 5.510334491729736
Batch: 12, Loss: 5.015876293182373
Batch: 13, Loss: 5.1857829093933105
Batch: 14, Loss: 5.087223529815674

Epoch 665 out of 2000Batch: 1, Loss: 6.002957820892334
Batch: 2, Loss: 6.704844951629639
Batch: 3, Loss: 6.327328205108643
Batch: 4, Loss: 6.549729824066162
Batch: 5, Loss: 6.632155418395996
Batch: 6, Loss: 6.330508232116699
Batch: 7, Loss: 6.240756034851074
Batch: 8, Loss: 6.362932205200195
Batch: 9, Loss: 6.211131572723389
Batch: 10, Loss: 6.743371486663818
Batch: 11, Loss: 6.4755473136901855
Batch: 12, Loss: 6.783818244934082
Batch: 13, Loss: 6.690593719482422
Batch: 14, Loss: 6.35938835144043

Epoch 666 out of 2000Batch: 1, Loss: 5.490591049194336
Batch: 2, Loss: 5.126198768615723
Batch: 3, Loss: 4.789718151092529
Batch: 4, Loss: 5.538503646850586
Batch: 5, Loss: 4.916263580322266
Batch: 6, Loss: 5.47316837310791
Batch: 7, Loss: 5.175381183624268
Batch: 8, Loss: 5.506228446960449
Batch: 9, Loss: 5.505572319030762
Batch: 10, Loss: 4.895714282989502
Batch: 11, Loss: 5.104393005371094
Batch: 12, Loss: 5.33347225189209
Batch: 13, Loss: 5.331600666046143
Batch: 14, Loss: 5.395484447479248

Epoch 667 out of 2000Batch: 1, Loss: 5.399345397949219
Batch: 2, Loss: 5.417047500610352
Batch: 3, Loss: 5.405686855316162
Batch: 4, Loss: 5.235893726348877
Batch: 5, Loss: 5.736817359924316
Batch: 6, Loss: 5.641790866851807
Batch: 7, Loss: 5.240979194641113
Batch: 8, Loss: 5.686352729797363
Batch: 9, Loss: 5.501318454742432
Batch: 10, Loss: 4.850980758666992
Batch: 11, Loss: 5.340941905975342
Batch: 12, Loss: 5.496448516845703
Batch: 13, Loss: 5.4517059326171875
Batch: 14, Loss: 5.410118103027344

Epoch 668 out of 2000Batch: 1, Loss: 5.051337718963623
Batch: 2, Loss: 4.944528102874756
Batch: 3, Loss: 5.076730251312256
Batch: 4, Loss: 4.8629937171936035
Batch: 5, Loss: 4.81839656829834
Batch: 6, Loss: 4.7498064041137695
Batch: 7, Loss: 4.866121292114258
Batch: 8, Loss: 5.036336421966553
Batch: 9, Loss: 4.631341457366943
Batch: 10, Loss: 5.0308451652526855
Batch: 11, Loss: 4.953805446624756
Batch: 12, Loss: 4.826289653778076
Batch: 13, Loss: 4.895919322967529
Batch: 14, Loss: 5.076639175415039

Epoch 669 out of 2000Batch: 1, Loss: 5.831407070159912
Batch: 2, Loss: 5.693202495574951
Batch: 3, Loss: 6.3309221267700195
Batch: 4, Loss: 5.513641834259033
Batch: 5, Loss: 6.188961505889893
Batch: 6, Loss: 6.088265419006348
Batch: 7, Loss: 5.664060592651367
Batch: 8, Loss: 5.730576515197754
Batch: 9, Loss: 5.111687183380127
Batch: 10, Loss: 6.582159519195557
Batch: 11, Loss: 5.7891669273376465
Batch: 12, Loss: 6.102673530578613
Batch: 13, Loss: 5.678189277648926
Batch: 14, Loss: 6.158918380737305

Epoch 670 out of 2000Batch: 1, Loss: 6.046580791473389
Batch: 2, Loss: 6.3127899169921875
Batch: 3, Loss: 5.885174751281738
Batch: 4, Loss: 6.231715202331543
Batch: 5, Loss: 6.082602500915527
Batch: 6, Loss: 6.341578960418701
Batch: 7, Loss: 5.974560737609863
Batch: 8, Loss: 5.988259792327881
Batch: 9, Loss: 6.444678783416748
Batch: 10, Loss: 6.1592698097229
Batch: 11, Loss: 6.471365451812744
Batch: 12, Loss: 5.683236122131348
Batch: 13, Loss: 6.5213847160339355
Batch: 14, Loss: 6.064112663269043

Epoch 671 out of 2000Batch: 1, Loss: 5.037258148193359
Batch: 2, Loss: 5.274343013763428
Batch: 3, Loss: 5.189241886138916
Batch: 4, Loss: 5.272348880767822
Batch: 5, Loss: 5.288463592529297
Batch: 6, Loss: 4.936005592346191
Batch: 7, Loss: 5.321778774261475
Batch: 8, Loss: 5.049508571624756
Batch: 9, Loss: 4.82742977142334
Batch: 10, Loss: 4.938087463378906
Batch: 11, Loss: 5.07986307144165
Batch: 12, Loss: 4.244561672210693
Batch: 13, Loss: 4.765912055969238
Batch: 14, Loss: 5.000246524810791

Epoch 672 out of 2000Batch: 1, Loss: 6.737769603729248
Batch: 2, Loss: 6.225630283355713
Batch: 3, Loss: 6.524895668029785
Batch: 4, Loss: 6.6943206787109375
Batch: 5, Loss: 6.344532489776611
Batch: 6, Loss: 6.467745304107666
Batch: 7, Loss: 6.415355682373047
Batch: 8, Loss: 6.804378509521484
Batch: 9, Loss: 6.255862236022949
Batch: 10, Loss: 6.235093593597412
Batch: 11, Loss: 6.045979976654053
Batch: 12, Loss: 6.047843933105469
Batch: 13, Loss: 6.1875386238098145
Batch: 14, Loss: 6.179282188415527

Epoch 673 out of 2000Batch: 1, Loss: 5.692391872406006
Batch: 2, Loss: 5.465396404266357
Batch: 3, Loss: 5.932872772216797
Batch: 4, Loss: 5.629288196563721
Batch: 5, Loss: 5.697310924530029
Batch: 6, Loss: 5.782325267791748
Batch: 7, Loss: 5.425528526306152
Batch: 8, Loss: 5.494035720825195
Batch: 9, Loss: 5.483608722686768
Batch: 10, Loss: 5.833153247833252
Batch: 11, Loss: 5.4406890869140625
Batch: 12, Loss: 6.056821823120117
Batch: 13, Loss: 5.498099327087402
Batch: 14, Loss: 6.047197341918945

Epoch 674 out of 2000Batch: 1, Loss: 5.833061695098877
Batch: 2, Loss: 5.491963863372803
Batch: 3, Loss: 6.255692481994629
Batch: 4, Loss: 5.761159420013428
Batch: 5, Loss: 6.024488925933838
Batch: 6, Loss: 5.8181304931640625
Batch: 7, Loss: 6.306223392486572
Batch: 8, Loss: 6.076932430267334
Batch: 9, Loss: 6.195756912231445
Batch: 10, Loss: 5.8993072509765625
Batch: 11, Loss: 5.5620646476745605
Batch: 12, Loss: 5.82977819442749
Batch: 13, Loss: 6.254725456237793
Batch: 14, Loss: 5.818538188934326

Epoch 675 out of 2000Batch: 1, Loss: 5.7424092292785645
Batch: 2, Loss: 5.706981658935547
Batch: 3, Loss: 5.125582695007324
Batch: 4, Loss: 5.31689453125
Batch: 5, Loss: 5.249788761138916
Batch: 6, Loss: 5.91237211227417
Batch: 7, Loss: 5.6399312019348145
Batch: 8, Loss: 5.580475330352783
Batch: 9, Loss: 5.184525966644287
Batch: 10, Loss: 5.482161998748779
Batch: 11, Loss: 5.809471130371094
Batch: 12, Loss: 5.436171531677246
Batch: 13, Loss: 5.5731425285339355
Batch: 14, Loss: 5.168550491333008

Epoch 676 out of 2000Batch: 1, Loss: 5.869108200073242
Batch: 2, Loss: 6.232614040374756
Batch: 3, Loss: 5.669720649719238
Batch: 4, Loss: 6.233867645263672
Batch: 5, Loss: 6.427221775054932
Batch: 6, Loss: 6.392019271850586
Batch: 7, Loss: 6.552207946777344
Batch: 8, Loss: 5.765859603881836
Batch: 9, Loss: 6.163671016693115
Batch: 10, Loss: 6.260365962982178
Batch: 11, Loss: 6.133266925811768
Batch: 12, Loss: 5.873112201690674
Batch: 13, Loss: 6.1875481605529785
Batch: 14, Loss: 6.42134428024292

Epoch 677 out of 2000Batch: 1, Loss: 5.699353218078613
Batch: 2, Loss: 5.365111351013184
Batch: 3, Loss: 5.574215412139893
Batch: 4, Loss: 5.77171516418457
Batch: 5, Loss: 5.439694881439209
Batch: 6, Loss: 5.227606773376465
Batch: 7, Loss: 5.5862932205200195
Batch: 8, Loss: 5.205371379852295
Batch: 9, Loss: 5.4029130935668945
Batch: 10, Loss: 5.5171966552734375
Batch: 11, Loss: 5.500748634338379
Batch: 12, Loss: 5.345673084259033
Batch: 13, Loss: 5.427912712097168
Batch: 14, Loss: 4.921175003051758

Epoch 678 out of 2000Batch: 1, Loss: 5.005527973175049
Batch: 2, Loss: 4.973769664764404
Batch: 3, Loss: 5.164196491241455
Batch: 4, Loss: 5.063939571380615
Batch: 5, Loss: 5.737746238708496
Batch: 6, Loss: 4.967423915863037
Batch: 7, Loss: 5.137984275817871
Batch: 8, Loss: 4.664449691772461
Batch: 9, Loss: 4.863076210021973
Batch: 10, Loss: 5.354846477508545
Batch: 11, Loss: 5.424491882324219
Batch: 12, Loss: 5.143877983093262
Batch: 13, Loss: 5.111356735229492
Batch: 14, Loss: 4.599298477172852

Epoch 679 out of 2000Batch: 1, Loss: 5.369608402252197
Batch: 2, Loss: 5.515337944030762
Batch: 3, Loss: 5.639177322387695
Batch: 4, Loss: 5.102875709533691
Batch: 5, Loss: 5.069835662841797
Batch: 6, Loss: 5.43245267868042
Batch: 7, Loss: 5.126405239105225
Batch: 8, Loss: 5.585517406463623
Batch: 9, Loss: 5.495783805847168
Batch: 10, Loss: 5.785003185272217
Batch: 11, Loss: 5.298418045043945
Batch: 12, Loss: 4.951450824737549
Batch: 13, Loss: 5.133110046386719
Batch: 14, Loss: 5.219701766967773

Epoch 680 out of 2000Batch: 1, Loss: 6.4326372146606445
Batch: 2, Loss: 5.675159454345703
Batch: 3, Loss: 5.802491664886475
Batch: 4, Loss: 5.780494213104248
Batch: 5, Loss: 6.141737461090088
Batch: 6, Loss: 5.851895332336426
Batch: 7, Loss: 5.99981689453125
Batch: 8, Loss: 5.999734401702881
Batch: 9, Loss: 5.95435905456543
Batch: 10, Loss: 5.982962608337402
Batch: 11, Loss: 5.980532169342041
Batch: 12, Loss: 5.99477481842041
Batch: 13, Loss: 5.66438627243042
Batch: 14, Loss: 6.040013313293457

Epoch 681 out of 2000Batch: 1, Loss: 5.834315776824951
Batch: 2, Loss: 6.056307315826416
Batch: 3, Loss: 5.999531269073486
Batch: 4, Loss: 6.179466724395752
Batch: 5, Loss: 5.662042140960693
Batch: 6, Loss: 6.072534561157227
Batch: 7, Loss: 6.15795373916626
Batch: 8, Loss: 6.236814975738525
Batch: 9, Loss: 5.602426528930664
Batch: 10, Loss: 5.7945756912231445
Batch: 11, Loss: 5.999719619750977
Batch: 12, Loss: 6.1166276931762695
Batch: 13, Loss: 5.826262474060059
Batch: 14, Loss: 6.290520668029785

Epoch 682 out of 2000Batch: 1, Loss: 6.407556056976318
Batch: 2, Loss: 5.719986438751221
Batch: 3, Loss: 5.521424293518066
Batch: 4, Loss: 5.677847862243652
Batch: 5, Loss: 5.781886577606201
Batch: 6, Loss: 5.601716041564941
Batch: 7, Loss: 5.668880462646484
Batch: 8, Loss: 5.908618450164795
Batch: 9, Loss: 5.720355987548828
Batch: 10, Loss: 6.285024642944336
Batch: 11, Loss: 6.033440113067627
Batch: 12, Loss: 5.919980049133301
Batch: 13, Loss: 5.742982864379883
Batch: 14, Loss: 6.1889166831970215

Epoch 683 out of 2000Batch: 1, Loss: 5.50337028503418
Batch: 2, Loss: 5.688912868499756
Batch: 3, Loss: 5.4134840965271
Batch: 4, Loss: 5.463043212890625
Batch: 5, Loss: 5.813847541809082
Batch: 6, Loss: 5.733104705810547
Batch: 7, Loss: 5.68777322769165
Batch: 8, Loss: 5.610604286193848
Batch: 9, Loss: 6.068887233734131
Batch: 10, Loss: 5.344943046569824
Batch: 11, Loss: 5.592226982116699
Batch: 12, Loss: 5.568832874298096
Batch: 13, Loss: 5.4265618324279785
Batch: 14, Loss: 5.787347793579102

Epoch 684 out of 2000Batch: 1, Loss: 5.18191385269165
Batch: 2, Loss: 5.58872127532959
Batch: 3, Loss: 5.414150714874268
Batch: 4, Loss: 5.477924823760986
Batch: 5, Loss: 4.805262565612793
Batch: 6, Loss: 5.1565260887146
Batch: 7, Loss: 5.649387359619141
Batch: 8, Loss: 5.1478447914123535
Batch: 9, Loss: 5.411870956420898
Batch: 10, Loss: 5.1327362060546875
Batch: 11, Loss: 5.2641215324401855
Batch: 12, Loss: 5.425909519195557
Batch: 13, Loss: 5.220126628875732
Batch: 14, Loss: 5.445924758911133

Epoch 685 out of 2000Batch: 1, Loss: 5.3522419929504395
Batch: 2, Loss: 5.12282133102417
Batch: 3, Loss: 5.159761905670166
Batch: 4, Loss: 4.903602600097656
Batch: 5, Loss: 5.378937721252441
Batch: 6, Loss: 4.920936584472656
Batch: 7, Loss: 5.182942867279053
Batch: 8, Loss: 5.007004261016846
Batch: 9, Loss: 5.295158386230469
Batch: 10, Loss: 4.71694278717041
Batch: 11, Loss: 5.325385093688965
Batch: 12, Loss: 4.78823709487915
Batch: 13, Loss: 4.7524800300598145
Batch: 14, Loss: 4.962238311767578

Epoch 686 out of 2000Batch: 1, Loss: 4.867663383483887
Batch: 2, Loss: 5.2198710441589355
Batch: 3, Loss: 5.110794544219971
Batch: 4, Loss: 5.069112300872803
Batch: 5, Loss: 5.223916530609131
Batch: 6, Loss: 4.801788330078125
Batch: 7, Loss: 5.172003746032715
Batch: 8, Loss: 4.4787678718566895
Batch: 9, Loss: 4.834467887878418
Batch: 10, Loss: 4.931540012359619
Batch: 11, Loss: 5.050156116485596
Batch: 12, Loss: 5.44448709487915
Batch: 13, Loss: 5.466975688934326
Batch: 14, Loss: 5.072319507598877

Epoch 687 out of 2000Batch: 1, Loss: 5.360408306121826
Batch: 2, Loss: 5.574721813201904
Batch: 3, Loss: 5.414599418640137
Batch: 4, Loss: 5.83473014831543
Batch: 5, Loss: 5.3178629875183105
Batch: 6, Loss: 5.467161178588867
Batch: 7, Loss: 5.5875163078308105
Batch: 8, Loss: 5.718242645263672
Batch: 9, Loss: 5.620057106018066
Batch: 10, Loss: 5.5747880935668945
Batch: 11, Loss: 5.392788887023926
Batch: 12, Loss: 5.471306324005127
Batch: 13, Loss: 5.334179878234863
Batch: 14, Loss: 5.725655555725098

Epoch 688 out of 2000Batch: 1, Loss: 6.117959976196289
Batch: 2, Loss: 6.114691257476807
Batch: 3, Loss: 6.574397563934326
Batch: 4, Loss: 5.682239532470703
Batch: 5, Loss: 5.811305999755859
Batch: 6, Loss: 6.13377571105957
Batch: 7, Loss: 5.749255180358887
Batch: 8, Loss: 5.8323493003845215
Batch: 9, Loss: 5.862676620483398
Batch: 10, Loss: 5.8336286544799805
Batch: 11, Loss: 5.748087406158447
Batch: 12, Loss: 5.893223762512207
Batch: 13, Loss: 6.255655288696289
Batch: 14, Loss: 5.934665679931641

Epoch 689 out of 2000Batch: 1, Loss: 5.717180252075195
Batch: 2, Loss: 5.563382625579834
Batch: 3, Loss: 6.0830864906311035
Batch: 4, Loss: 5.482301712036133
Batch: 5, Loss: 5.5971879959106445
Batch: 6, Loss: 5.71268367767334
Batch: 7, Loss: 5.721042633056641
Batch: 8, Loss: 6.039755821228027
Batch: 9, Loss: 5.757394313812256
Batch: 10, Loss: 5.168691635131836
Batch: 11, Loss: 5.796206474304199
Batch: 12, Loss: 5.415953159332275
Batch: 13, Loss: 5.404099464416504
Batch: 14, Loss: 5.87323522567749

Epoch 690 out of 2000Batch: 1, Loss: 4.686749458312988
Batch: 2, Loss: 5.103050708770752
Batch: 3, Loss: 5.041959762573242
Batch: 4, Loss: 4.704282283782959
Batch: 5, Loss: 4.762780666351318
Batch: 6, Loss: 4.896676063537598
Batch: 7, Loss: 5.097916603088379
Batch: 8, Loss: 5.02150297164917
Batch: 9, Loss: 4.586284160614014
Batch: 10, Loss: 4.669528484344482
Batch: 11, Loss: 4.7652201652526855
Batch: 12, Loss: 5.040373802185059
Batch: 13, Loss: 4.833622932434082
Batch: 14, Loss: 5.196839809417725

Epoch 691 out of 2000Batch: 1, Loss: 6.372582912445068
Batch: 2, Loss: 6.478906154632568
Batch: 3, Loss: 6.218824863433838
Batch: 4, Loss: 6.212582588195801
Batch: 5, Loss: 6.79475736618042
Batch: 6, Loss: 6.011277198791504
Batch: 7, Loss: 6.304059028625488
Batch: 8, Loss: 6.000274181365967
Batch: 9, Loss: 5.795078277587891
Batch: 10, Loss: 6.105187892913818
Batch: 11, Loss: 5.964840412139893
Batch: 12, Loss: 5.885696887969971
Batch: 13, Loss: 5.867604732513428
Batch: 14, Loss: 5.745073318481445

Epoch 692 out of 2000Batch: 1, Loss: 5.850930213928223
Batch: 2, Loss: 5.742475986480713
Batch: 3, Loss: 5.628356456756592
Batch: 4, Loss: 5.6062726974487305
Batch: 5, Loss: 5.897263526916504
Batch: 6, Loss: 5.915742874145508
Batch: 7, Loss: 5.408199787139893
Batch: 8, Loss: 6.063379764556885
Batch: 9, Loss: 5.667453765869141
Batch: 10, Loss: 5.983485698699951
Batch: 11, Loss: 5.4366631507873535
Batch: 12, Loss: 5.889034271240234
Batch: 13, Loss: 5.55533504486084
Batch: 14, Loss: 5.855480194091797

Epoch 693 out of 2000Batch: 1, Loss: 6.1962785720825195
Batch: 2, Loss: 6.421746253967285
Batch: 3, Loss: 6.0094499588012695
Batch: 4, Loss: 5.878881454467773
Batch: 5, Loss: 6.343425750732422
Batch: 6, Loss: 5.972419261932373
Batch: 7, Loss: 6.090838432312012
Batch: 8, Loss: 5.850183963775635
Batch: 9, Loss: 5.931714057922363
Batch: 10, Loss: 6.080124855041504
Batch: 11, Loss: 5.866067886352539
Batch: 12, Loss: 6.126797676086426
Batch: 13, Loss: 6.115304470062256
Batch: 14, Loss: 6.054245948791504

Epoch 694 out of 2000Batch: 1, Loss: 4.696498870849609
Batch: 2, Loss: 4.848180294036865
Batch: 3, Loss: 4.5749006271362305
Batch: 4, Loss: 4.886960983276367
Batch: 5, Loss: 4.773979663848877
Batch: 6, Loss: 4.811945915222168
Batch: 7, Loss: 4.741835117340088
Batch: 8, Loss: 4.918093681335449
Batch: 9, Loss: 4.630156517028809
Batch: 10, Loss: 4.669570446014404
Batch: 11, Loss: 4.749935150146484
Batch: 12, Loss: 4.493842124938965
Batch: 13, Loss: 4.618621349334717
Batch: 14, Loss: 4.811877727508545

Epoch 695 out of 2000Batch: 1, Loss: 6.161630153656006
Batch: 2, Loss: 5.473325729370117
Batch: 3, Loss: 5.507708549499512
Batch: 4, Loss: 5.9348015785217285
Batch: 5, Loss: 5.826628684997559
Batch: 6, Loss: 5.956928253173828
Batch: 7, Loss: 6.125542163848877
Batch: 8, Loss: 5.263364791870117
Batch: 9, Loss: 5.385589122772217
Batch: 10, Loss: 5.627983570098877
Batch: 11, Loss: 5.797288417816162
Batch: 12, Loss: 5.766014575958252
Batch: 13, Loss: 5.683060169219971
Batch: 14, Loss: 5.8492326736450195

Epoch 696 out of 2000Batch: 1, Loss: 6.248269081115723
Batch: 2, Loss: 5.742928504943848
Batch: 3, Loss: 6.557059288024902
Batch: 4, Loss: 6.208425998687744
Batch: 5, Loss: 6.3436665534973145
Batch: 6, Loss: 6.253672122955322
Batch: 7, Loss: 6.300826549530029
Batch: 8, Loss: 6.0864973068237305
Batch: 9, Loss: 6.01909875869751
Batch: 10, Loss: 5.863399028778076
Batch: 11, Loss: 6.1421990394592285
Batch: 12, Loss: 5.628331184387207
Batch: 13, Loss: 5.824057102203369
Batch: 14, Loss: 6.123970985412598

Epoch 697 out of 2000Batch: 1, Loss: 5.813754558563232
Batch: 2, Loss: 5.378707408905029
Batch: 3, Loss: 5.302035331726074
Batch: 4, Loss: 5.368258953094482
Batch: 5, Loss: 5.7574968338012695
Batch: 6, Loss: 5.963685035705566
Batch: 7, Loss: 5.4462971687316895
Batch: 8, Loss: 5.192159652709961
Batch: 9, Loss: 5.681515693664551
Batch: 10, Loss: 5.679808616638184
Batch: 11, Loss: 5.9013352394104
Batch: 12, Loss: 5.570696830749512
Batch: 13, Loss: 5.262568473815918
Batch: 14, Loss: 5.528879642486572

Epoch 698 out of 2000Batch: 1, Loss: 6.114452838897705
Batch: 2, Loss: 6.123837947845459
Batch: 3, Loss: 5.920558929443359
Batch: 4, Loss: 5.6270246505737305
Batch: 5, Loss: 5.758812427520752
Batch: 6, Loss: 6.055535316467285
Batch: 7, Loss: 6.186527729034424
Batch: 8, Loss: 5.619168281555176
Batch: 9, Loss: 5.557680606842041
Batch: 10, Loss: 5.4726481437683105
Batch: 11, Loss: 5.907029151916504
Batch: 12, Loss: 5.932964324951172
Batch: 13, Loss: 6.056445121765137
Batch: 14, Loss: 6.363437652587891

Epoch 699 out of 2000Batch: 1, Loss: 5.8679962158203125
Batch: 2, Loss: 6.310426712036133
Batch: 3, Loss: 6.257147312164307
Batch: 4, Loss: 5.993418216705322
Batch: 5, Loss: 5.991174697875977
Batch: 6, Loss: 6.125556468963623
Batch: 7, Loss: 5.826914310455322
Batch: 8, Loss: 5.816869258880615
Batch: 9, Loss: 6.2169599533081055
Batch: 10, Loss: 5.874185562133789
Batch: 11, Loss: 5.867374420166016
Batch: 12, Loss: 6.1419596672058105
Batch: 13, Loss: 5.686357021331787
Batch: 14, Loss: 5.909393310546875

Epoch 700 out of 2000Batch: 1, Loss: 5.110141754150391
Batch: 2, Loss: 5.4293599128723145
Batch: 3, Loss: 5.0733819007873535
Batch: 4, Loss: 5.043511867523193
Batch: 5, Loss: 5.098851203918457
Batch: 6, Loss: 4.883810043334961
Batch: 7, Loss: 5.149044036865234
Batch: 8, Loss: 5.482354164123535
Batch: 9, Loss: 5.295385360717773
Batch: 10, Loss: 5.262286186218262
Batch: 11, Loss: 5.11158561706543
Batch: 12, Loss: 4.879536151885986
Batch: 13, Loss: 5.353923797607422
Batch: 14, Loss: 5.395806312561035

Epoch 701 out of 2000Batch: 1, Loss: 5.705996990203857
Batch: 2, Loss: 6.054215908050537
Batch: 3, Loss: 6.360076904296875
Batch: 4, Loss: 5.744183540344238
Batch: 5, Loss: 5.848873615264893
Batch: 6, Loss: 6.004673004150391
Batch: 7, Loss: 5.566009998321533
Batch: 8, Loss: 6.360569477081299
Batch: 9, Loss: 6.328094482421875
Batch: 10, Loss: 6.449214935302734
Batch: 11, Loss: 5.945724010467529
Batch: 12, Loss: 6.242176055908203
Batch: 13, Loss: 6.038449287414551
Batch: 14, Loss: 5.890111923217773

Epoch 702 out of 2000Batch: 1, Loss: 4.856608867645264
Batch: 2, Loss: 5.729570388793945
Batch: 3, Loss: 5.293358325958252
Batch: 4, Loss: 5.221351146697998
Batch: 5, Loss: 4.816488742828369
Batch: 6, Loss: 4.6883158683776855
Batch: 7, Loss: 5.158241271972656
Batch: 8, Loss: 5.169117450714111
Batch: 9, Loss: 4.642905235290527
Batch: 10, Loss: 4.867889881134033
Batch: 11, Loss: 4.88845682144165
Batch: 12, Loss: 4.833803653717041
Batch: 13, Loss: 4.803770065307617
Batch: 14, Loss: 4.2545952796936035

Epoch 703 out of 2000Batch: 1, Loss: 6.0312113761901855
Batch: 2, Loss: 5.737423896789551
Batch: 3, Loss: 6.1051836013793945
Batch: 4, Loss: 5.922008037567139
Batch: 5, Loss: 5.764383792877197
Batch: 6, Loss: 5.67375373840332
Batch: 7, Loss: 5.58903169631958
Batch: 8, Loss: 5.641823768615723
Batch: 9, Loss: 5.684302806854248
Batch: 10, Loss: 5.052410125732422
Batch: 11, Loss: 5.61011266708374
Batch: 12, Loss: 5.955315589904785
Batch: 13, Loss: 5.910418510437012
Batch: 14, Loss: 5.969854354858398

Epoch 704 out of 2000Batch: 1, Loss: 5.064694881439209
Batch: 2, Loss: 5.125123977661133
Batch: 3, Loss: 5.293734550476074
Batch: 4, Loss: 5.312042236328125
Batch: 5, Loss: 5.333507537841797
Batch: 6, Loss: 5.155052185058594
Batch: 7, Loss: 5.257360935211182
Batch: 8, Loss: 4.934695720672607
Batch: 9, Loss: 5.4214982986450195
Batch: 10, Loss: 4.885487079620361
Batch: 11, Loss: 5.175626277923584
Batch: 12, Loss: 5.116852283477783
Batch: 13, Loss: 5.528273582458496
Batch: 14, Loss: 5.424314498901367

Epoch 705 out of 2000Batch: 1, Loss: 6.207334041595459
Batch: 2, Loss: 5.62060022354126
Batch: 3, Loss: 5.92849588394165
Batch: 4, Loss: 5.740683078765869
Batch: 5, Loss: 5.779927730560303
Batch: 6, Loss: 5.486843585968018
Batch: 7, Loss: 5.733642578125
Batch: 8, Loss: 4.984495639801025
Batch: 9, Loss: 5.981227874755859
Batch: 10, Loss: 5.541067123413086
Batch: 11, Loss: 5.887869834899902
Batch: 12, Loss: 5.929052829742432
Batch: 13, Loss: 5.596181869506836
Batch: 14, Loss: 5.4646196365356445

Epoch 706 out of 2000Batch: 1, Loss: 5.612435817718506
Batch: 2, Loss: 6.171408653259277
Batch: 3, Loss: 5.703958511352539
Batch: 4, Loss: 5.661920547485352
Batch: 5, Loss: 5.5252604484558105
Batch: 6, Loss: 5.648744583129883
Batch: 7, Loss: 5.841014862060547
Batch: 8, Loss: 6.0209221839904785
Batch: 9, Loss: 5.902299404144287
Batch: 10, Loss: 5.877618312835693
Batch: 11, Loss: 5.882254123687744
Batch: 12, Loss: 5.994433403015137
Batch: 13, Loss: 5.797515392303467
Batch: 14, Loss: 5.450697422027588

Epoch 707 out of 2000Batch: 1, Loss: 4.9052815437316895
Batch: 2, Loss: 4.56044864654541
Batch: 3, Loss: 4.937018394470215
Batch: 4, Loss: 5.247591972351074
Batch: 5, Loss: 5.249028205871582
Batch: 6, Loss: 5.215334892272949
Batch: 7, Loss: 4.96215295791626
Batch: 8, Loss: 5.279514312744141
Batch: 9, Loss: 4.534960746765137
Batch: 10, Loss: 4.886574745178223
Batch: 11, Loss: 4.736744403839111
Batch: 12, Loss: 5.228211402893066
Batch: 13, Loss: 4.9528703689575195
Batch: 14, Loss: 4.969497203826904

Epoch 708 out of 2000Batch: 1, Loss: 5.100594997406006
Batch: 2, Loss: 4.681127548217773
Batch: 3, Loss: 4.507617950439453
Batch: 4, Loss: 4.524534225463867
Batch: 5, Loss: 5.0840983390808105
Batch: 6, Loss: 4.473645210266113
Batch: 7, Loss: 4.639948844909668
Batch: 8, Loss: 4.272884845733643
Batch: 9, Loss: 4.616795063018799
Batch: 10, Loss: 4.550410270690918
Batch: 11, Loss: 4.905554294586182
Batch: 12, Loss: 4.939139366149902
Batch: 13, Loss: 4.830104351043701
Batch: 14, Loss: 4.326202869415283

Epoch 709 out of 2000Batch: 1, Loss: 5.6364641189575195
Batch: 2, Loss: 5.958288192749023
Batch: 3, Loss: 5.8612775802612305
Batch: 4, Loss: 5.506681442260742
Batch: 5, Loss: 5.869674205780029
Batch: 6, Loss: 5.74282169342041
Batch: 7, Loss: 5.731576442718506
Batch: 8, Loss: 5.475902557373047
Batch: 9, Loss: 5.866420269012451
Batch: 10, Loss: 5.725337982177734
Batch: 11, Loss: 5.557926654815674
Batch: 12, Loss: 5.454833030700684
Batch: 13, Loss: 5.639086723327637
Batch: 14, Loss: 4.9907355308532715

Epoch 710 out of 2000Batch: 1, Loss: 5.873488426208496
Batch: 2, Loss: 5.622371673583984
Batch: 3, Loss: 5.717853546142578
Batch: 4, Loss: 5.614778518676758
Batch: 5, Loss: 5.429462432861328
Batch: 6, Loss: 5.747935771942139
Batch: 7, Loss: 5.741451740264893
Batch: 8, Loss: 5.2797322273254395
Batch: 9, Loss: 5.698049545288086
Batch: 10, Loss: 5.483076095581055
Batch: 11, Loss: 5.865845203399658
Batch: 12, Loss: 5.731912136077881
Batch: 13, Loss: 5.617046356201172
Batch: 14, Loss: 5.047242641448975

Epoch 711 out of 2000Batch: 1, Loss: 5.823655605316162
Batch: 2, Loss: 5.2223429679870605
Batch: 3, Loss: 5.336419105529785
Batch: 4, Loss: 5.389250755310059
Batch: 5, Loss: 4.996127605438232
Batch: 6, Loss: 5.287689208984375
Batch: 7, Loss: 5.02932071685791
Batch: 8, Loss: 5.208303928375244
Batch: 9, Loss: 5.094706058502197
Batch: 10, Loss: 5.078216552734375
Batch: 11, Loss: 5.205070972442627
Batch: 12, Loss: 4.889458656311035
Batch: 13, Loss: 4.8627543449401855
Batch: 14, Loss: 5.088815689086914

Epoch 712 out of 2000Batch: 1, Loss: 6.089859962463379
Batch: 2, Loss: 5.944453239440918
Batch: 3, Loss: 6.257908344268799
Batch: 4, Loss: 6.312534809112549
Batch: 5, Loss: 5.955935478210449
Batch: 6, Loss: 5.77329158782959
Batch: 7, Loss: 5.893519878387451
Batch: 8, Loss: 6.201886177062988
Batch: 9, Loss: 6.752691268920898
Batch: 10, Loss: 6.033479690551758
Batch: 11, Loss: 6.393035411834717
Batch: 12, Loss: 5.930071830749512
Batch: 13, Loss: 5.787917137145996
Batch: 14, Loss: 5.252071857452393

Epoch 713 out of 2000Batch: 1, Loss: 5.358791828155518
Batch: 2, Loss: 5.297019004821777
Batch: 3, Loss: 5.282693386077881
Batch: 4, Loss: 4.924881935119629
Batch: 5, Loss: 5.16098690032959
Batch: 6, Loss: 4.936985015869141
Batch: 7, Loss: 4.675854682922363
Batch: 8, Loss: 4.989817142486572
Batch: 9, Loss: 4.8607611656188965
Batch: 10, Loss: 4.780126094818115
Batch: 11, Loss: 4.914028644561768
Batch: 12, Loss: 4.817535877227783
Batch: 13, Loss: 4.712629318237305
Batch: 14, Loss: 5.1225128173828125

Epoch 714 out of 2000Batch: 1, Loss: 5.796733856201172
Batch: 2, Loss: 5.678971290588379
Batch: 3, Loss: 5.865075588226318
Batch: 4, Loss: 5.752099514007568
Batch: 5, Loss: 5.776418209075928
Batch: 6, Loss: 5.357933044433594
Batch: 7, Loss: 5.5982346534729
Batch: 8, Loss: 5.83268404006958
Batch: 9, Loss: 5.237884044647217
Batch: 10, Loss: 5.659276485443115
Batch: 11, Loss: 5.673178672790527
Batch: 12, Loss: 5.5109639167785645
Batch: 13, Loss: 5.763362407684326
Batch: 14, Loss: 5.775323390960693

Epoch 715 out of 2000Batch: 1, Loss: 5.741017818450928
Batch: 2, Loss: 5.585479736328125
Batch: 3, Loss: 6.007957935333252
Batch: 4, Loss: 5.219839096069336
Batch: 5, Loss: 5.551372051239014
Batch: 6, Loss: 5.314037799835205
Batch: 7, Loss: 5.643138408660889
Batch: 8, Loss: 5.609661102294922
Batch: 9, Loss: 5.945953369140625
Batch: 10, Loss: 6.091630458831787
Batch: 11, Loss: 5.7311482429504395
Batch: 12, Loss: 5.8633341789245605
Batch: 13, Loss: 5.673093795776367
Batch: 14, Loss: 6.092162609100342

Epoch 716 out of 2000Batch: 1, Loss: 5.8671464920043945
Batch: 2, Loss: 5.910874843597412
Batch: 3, Loss: 5.979070663452148
Batch: 4, Loss: 6.0497965812683105
Batch: 5, Loss: 5.438781261444092
Batch: 6, Loss: 5.847558498382568
Batch: 7, Loss: 5.576422691345215
Batch: 8, Loss: 5.355146884918213
Batch: 9, Loss: 5.513421058654785
Batch: 10, Loss: 5.396637439727783
Batch: 11, Loss: 5.723816394805908
Batch: 12, Loss: 5.416166305541992
Batch: 13, Loss: 5.625974655151367
Batch: 14, Loss: 5.8007965087890625

Epoch 717 out of 2000Batch: 1, Loss: 5.530302047729492
Batch: 2, Loss: 5.044737339019775
Batch: 3, Loss: 5.535218715667725
Batch: 4, Loss: 5.562655448913574
Batch: 5, Loss: 5.259979248046875
Batch: 6, Loss: 4.925327777862549
Batch: 7, Loss: 5.632696151733398
Batch: 8, Loss: 5.274353981018066
Batch: 9, Loss: 5.378279685974121
Batch: 10, Loss: 5.038556098937988
Batch: 11, Loss: 5.7070207595825195
Batch: 12, Loss: 5.187824726104736
Batch: 13, Loss: 5.391290664672852
Batch: 14, Loss: 5.079942226409912

Epoch 718 out of 2000Batch: 1, Loss: 5.927772045135498
Batch: 2, Loss: 5.891979217529297
Batch: 3, Loss: 5.770147800445557
Batch: 4, Loss: 5.685813903808594
Batch: 5, Loss: 5.691104888916016
Batch: 6, Loss: 5.552295207977295
Batch: 7, Loss: 5.653438568115234
Batch: 8, Loss: 6.13334846496582
Batch: 9, Loss: 5.840790271759033
Batch: 10, Loss: 5.810728073120117
Batch: 11, Loss: 5.593281269073486
Batch: 12, Loss: 5.845281600952148
Batch: 13, Loss: 5.763814449310303
Batch: 14, Loss: 5.704371452331543

Epoch 719 out of 2000Batch: 1, Loss: 5.59819221496582
Batch: 2, Loss: 5.485169887542725
Batch: 3, Loss: 5.530958652496338
Batch: 4, Loss: 5.222494125366211
Batch: 5, Loss: 5.576660633087158
Batch: 6, Loss: 5.322371006011963
Batch: 7, Loss: 5.196028232574463
Batch: 8, Loss: 5.294217586517334
Batch: 9, Loss: 5.092301368713379
Batch: 10, Loss: 5.432949542999268
Batch: 11, Loss: 5.208347320556641
Batch: 12, Loss: 5.543290615081787
Batch: 13, Loss: 5.59075403213501
Batch: 14, Loss: 5.051623821258545

Epoch 720 out of 2000Batch: 1, Loss: 6.010288715362549
Batch: 2, Loss: 5.426907539367676
Batch: 3, Loss: 6.04642915725708
Batch: 4, Loss: 6.311875820159912
Batch: 5, Loss: 5.900897026062012
Batch: 6, Loss: 5.854887008666992
Batch: 7, Loss: 5.578865051269531
Batch: 8, Loss: 5.621028423309326
Batch: 9, Loss: 5.945516586303711
Batch: 10, Loss: 5.787439346313477
Batch: 11, Loss: 5.821110248565674
Batch: 12, Loss: 5.984376430511475
Batch: 13, Loss: 6.284506797790527
Batch: 14, Loss: 6.308168411254883

Epoch 721 out of 2000Batch: 1, Loss: 5.676997184753418
Batch: 2, Loss: 5.739355564117432
Batch: 3, Loss: 5.12253475189209
Batch: 4, Loss: 5.658730506896973
Batch: 5, Loss: 5.99794864654541
Batch: 6, Loss: 5.20123291015625
Batch: 7, Loss: 5.092527866363525
Batch: 8, Loss: 5.348145008087158
Batch: 9, Loss: 5.137004852294922
Batch: 10, Loss: 5.216611385345459
Batch: 11, Loss: 5.596584796905518
Batch: 12, Loss: 5.393177032470703
Batch: 13, Loss: 5.574175834655762
Batch: 14, Loss: 5.480266094207764

Epoch 722 out of 2000Batch: 1, Loss: 5.808856010437012
Batch: 2, Loss: 6.036896705627441
Batch: 3, Loss: 5.828503608703613
Batch: 4, Loss: 5.539748668670654
Batch: 5, Loss: 6.455014705657959
Batch: 6, Loss: 6.389335632324219
Batch: 7, Loss: 5.568883419036865
Batch: 8, Loss: 5.866431713104248
Batch: 9, Loss: 5.818766117095947
Batch: 10, Loss: 5.387981414794922
Batch: 11, Loss: 5.814903736114502
Batch: 12, Loss: 6.0835981369018555
Batch: 13, Loss: 5.408441066741943
Batch: 14, Loss: 5.9555277824401855

Epoch 723 out of 2000Batch: 1, Loss: 5.437467098236084
Batch: 2, Loss: 5.33767032623291
Batch: 3, Loss: 5.550251483917236
Batch: 4, Loss: 5.2876105308532715
Batch: 5, Loss: 5.305580139160156
Batch: 6, Loss: 5.3818206787109375
Batch: 7, Loss: 4.647824764251709
Batch: 8, Loss: 5.102284908294678
Batch: 9, Loss: 5.168748378753662
Batch: 10, Loss: 5.1664509773254395
Batch: 11, Loss: 4.978516101837158
Batch: 12, Loss: 5.287543773651123
Batch: 13, Loss: 4.780229091644287
Batch: 14, Loss: 5.240560531616211

Epoch 724 out of 2000Batch: 1, Loss: 5.97859525680542
Batch: 2, Loss: 5.374047756195068
Batch: 3, Loss: 5.617938041687012
Batch: 4, Loss: 5.643117904663086
Batch: 5, Loss: 5.439465045928955
Batch: 6, Loss: 5.839256763458252
Batch: 7, Loss: 5.372479438781738
Batch: 8, Loss: 5.542722702026367
Batch: 9, Loss: 5.79742431640625
Batch: 10, Loss: 5.729577541351318
Batch: 11, Loss: 5.700437068939209
Batch: 12, Loss: 5.844668388366699
Batch: 13, Loss: 5.070670127868652
Batch: 14, Loss: 5.589719772338867

Epoch 725 out of 2000Batch: 1, Loss: 5.8943305015563965
Batch: 2, Loss: 5.775641441345215
Batch: 3, Loss: 5.959105968475342
Batch: 4, Loss: 5.8215742111206055
Batch: 5, Loss: 5.551962375640869
Batch: 6, Loss: 5.636602401733398
Batch: 7, Loss: 5.635800361633301
Batch: 8, Loss: 5.930192947387695
Batch: 9, Loss: 5.8529276847839355
Batch: 10, Loss: 5.459187030792236
Batch: 11, Loss: 5.8211259841918945
Batch: 12, Loss: 5.800839900970459
Batch: 13, Loss: 5.708593845367432
Batch: 14, Loss: 6.13830041885376

Epoch 726 out of 2000Batch: 1, Loss: 5.346935272216797
Batch: 2, Loss: 5.934941291809082
Batch: 3, Loss: 5.286238670349121
Batch: 4, Loss: 5.461405277252197
Batch: 5, Loss: 5.547144412994385
Batch: 6, Loss: 5.748620986938477
Batch: 7, Loss: 5.042085647583008
Batch: 8, Loss: 5.479671001434326
Batch: 9, Loss: 5.411354064941406
Batch: 10, Loss: 5.430734157562256
Batch: 11, Loss: 5.628555774688721
Batch: 12, Loss: 5.402137279510498
Batch: 13, Loss: 5.607889652252197
Batch: 14, Loss: 5.291369438171387

Epoch 727 out of 2000Batch: 1, Loss: 5.360330104827881
Batch: 2, Loss: 5.365100383758545
Batch: 3, Loss: 5.546464443206787
Batch: 4, Loss: 5.452538967132568
Batch: 5, Loss: 5.925854206085205
Batch: 6, Loss: 5.653955459594727
Batch: 7, Loss: 5.777463436126709
Batch: 8, Loss: 5.303818225860596
Batch: 9, Loss: 5.557616233825684
Batch: 10, Loss: 5.616684436798096
Batch: 11, Loss: 5.481135845184326
Batch: 12, Loss: 5.630328178405762
Batch: 13, Loss: 5.480100154876709
Batch: 14, Loss: 5.591927528381348

Epoch 728 out of 2000Batch: 1, Loss: 5.52777624130249
Batch: 2, Loss: 5.270839214324951
Batch: 3, Loss: 4.682557106018066
Batch: 4, Loss: 4.924333095550537
Batch: 5, Loss: 5.192958831787109
Batch: 6, Loss: 4.748927593231201
Batch: 7, Loss: 4.698189735412598
Batch: 8, Loss: 4.768023490905762
Batch: 9, Loss: 5.127445220947266
Batch: 10, Loss: 5.074962139129639
Batch: 11, Loss: 4.826972484588623
Batch: 12, Loss: 4.980331897735596
Batch: 13, Loss: 5.08432674407959
Batch: 14, Loss: 4.655195236206055

Epoch 729 out of 2000Batch: 1, Loss: 4.627995491027832
Batch: 2, Loss: 4.545383930206299
Batch: 3, Loss: 4.830810070037842
Batch: 4, Loss: 4.788724422454834
Batch: 5, Loss: 4.636899948120117
Batch: 6, Loss: 4.896669864654541
Batch: 7, Loss: 4.413249492645264
Batch: 8, Loss: 4.667679309844971
Batch: 9, Loss: 4.527170181274414
Batch: 10, Loss: 4.483376502990723
Batch: 11, Loss: 4.701906681060791
Batch: 12, Loss: 4.616799354553223
Batch: 13, Loss: 4.640164852142334
Batch: 14, Loss: 4.581971645355225

Epoch 730 out of 2000Batch: 1, Loss: 4.535337448120117
Batch: 2, Loss: 4.574774265289307
Batch: 3, Loss: 4.6157307624816895
Batch: 4, Loss: 4.5121331214904785
Batch: 5, Loss: 4.641833782196045
Batch: 6, Loss: 4.381359577178955
Batch: 7, Loss: 4.389641284942627
Batch: 8, Loss: 4.33829927444458
Batch: 9, Loss: 4.486725330352783
Batch: 10, Loss: 4.431434154510498
Batch: 11, Loss: 4.521459102630615
Batch: 12, Loss: 4.724260330200195
Batch: 13, Loss: 4.651350021362305
Batch: 14, Loss: 4.386724472045898

Epoch 731 out of 2000Batch: 1, Loss: 5.854124546051025
Batch: 2, Loss: 5.983305931091309
Batch: 3, Loss: 6.458528995513916
Batch: 4, Loss: 5.750983238220215
Batch: 5, Loss: 6.10316801071167
Batch: 6, Loss: 5.9962005615234375
Batch: 7, Loss: 6.29460334777832
Batch: 8, Loss: 5.927149295806885
Batch: 9, Loss: 6.0000152587890625
Batch: 10, Loss: 6.1117658615112305
Batch: 11, Loss: 6.159221172332764
Batch: 12, Loss: 6.346523761749268
Batch: 13, Loss: 6.659482955932617
Batch: 14, Loss: 6.419622421264648

Epoch 732 out of 2000Batch: 1, Loss: 5.532140254974365
Batch: 2, Loss: 5.720996379852295
Batch: 3, Loss: 5.46975040435791
Batch: 4, Loss: 5.62463903427124
Batch: 5, Loss: 5.470162868499756
Batch: 6, Loss: 5.7834086418151855
Batch: 7, Loss: 5.152482986450195
Batch: 8, Loss: 5.720146656036377
Batch: 9, Loss: 5.794122695922852
Batch: 10, Loss: 5.44093656539917
Batch: 11, Loss: 5.835234642028809
Batch: 12, Loss: 5.521259784698486
Batch: 13, Loss: 6.03443717956543
Batch: 14, Loss: 5.289776802062988

Epoch 733 out of 2000Batch: 1, Loss: 5.524892330169678
Batch: 2, Loss: 5.628120422363281
Batch: 3, Loss: 5.714121341705322
Batch: 4, Loss: 5.923854351043701
Batch: 5, Loss: 5.420840263366699
Batch: 6, Loss: 5.758653163909912
Batch: 7, Loss: 5.744786739349365
Batch: 8, Loss: 5.755057334899902
Batch: 9, Loss: 5.786801338195801
Batch: 10, Loss: 6.083288192749023
Batch: 11, Loss: 5.841289520263672
Batch: 12, Loss: 5.575374603271484
Batch: 13, Loss: 5.465696811676025
Batch: 14, Loss: 5.119870662689209

Epoch 734 out of 2000Batch: 1, Loss: 6.567759037017822
Batch: 2, Loss: 6.503852367401123
Batch: 3, Loss: 6.0876054763793945
Batch: 4, Loss: 6.318042755126953
Batch: 5, Loss: 5.962584018707275
Batch: 6, Loss: 6.03120756149292
Batch: 7, Loss: 6.732527732849121
Batch: 8, Loss: 7.133470058441162
Batch: 9, Loss: 6.412999153137207
Batch: 10, Loss: 6.953472137451172
Batch: 11, Loss: 6.475140571594238
Batch: 12, Loss: 6.740429878234863
Batch: 13, Loss: 6.477816581726074
Batch: 14, Loss: 6.956291675567627

Epoch 735 out of 2000Batch: 1, Loss: 5.189681529998779
Batch: 2, Loss: 4.67579460144043
Batch: 3, Loss: 5.182857513427734
Batch: 4, Loss: 5.3669915199279785
Batch: 5, Loss: 5.3102707862854
Batch: 6, Loss: 5.486359596252441
Batch: 7, Loss: 4.430293560028076
Batch: 8, Loss: 5.000239849090576
Batch: 9, Loss: 4.8308210372924805
Batch: 10, Loss: 5.0425543785095215
Batch: 11, Loss: 5.0799880027771
Batch: 12, Loss: 5.170617580413818
Batch: 13, Loss: 5.077517032623291
Batch: 14, Loss: 4.455062389373779

Epoch 736 out of 2000Batch: 1, Loss: 5.335261344909668
Batch: 2, Loss: 4.907386302947998
Batch: 3, Loss: 5.537652015686035
Batch: 4, Loss: 5.198808670043945
Batch: 5, Loss: 5.475252151489258
Batch: 6, Loss: 5.168563365936279
Batch: 7, Loss: 4.9837727546691895
Batch: 8, Loss: 5.376857757568359
Batch: 9, Loss: 5.185708045959473
Batch: 10, Loss: 4.910944938659668
Batch: 11, Loss: 5.296789646148682
Batch: 12, Loss: 5.046152591705322
Batch: 13, Loss: 5.136868000030518
Batch: 14, Loss: 4.902283668518066

Epoch 737 out of 2000Batch: 1, Loss: 5.5961689949035645
Batch: 2, Loss: 5.98845100402832
Batch: 3, Loss: 5.48792028427124
Batch: 4, Loss: 5.727836608886719
Batch: 5, Loss: 6.002669811248779
Batch: 6, Loss: 5.721858978271484
Batch: 7, Loss: 5.499217510223389
Batch: 8, Loss: 5.726541996002197
Batch: 9, Loss: 5.876861572265625
Batch: 10, Loss: 5.892635822296143
Batch: 11, Loss: 5.602720737457275
Batch: 12, Loss: 5.526080131530762
Batch: 13, Loss: 5.393248081207275
Batch: 14, Loss: 5.658358573913574

Epoch 738 out of 2000Batch: 1, Loss: 5.419792175292969
Batch: 2, Loss: 5.374942779541016
Batch: 3, Loss: 5.089138031005859
Batch: 4, Loss: 5.488527297973633
Batch: 5, Loss: 5.149596691131592
Batch: 6, Loss: 5.13101053237915
Batch: 7, Loss: 5.4481682777404785
Batch: 8, Loss: 5.037712574005127
Batch: 9, Loss: 5.403239727020264
Batch: 10, Loss: 5.385781288146973
Batch: 11, Loss: 5.050587177276611
Batch: 12, Loss: 5.37606954574585
Batch: 13, Loss: 4.886713981628418
Batch: 14, Loss: 5.414263725280762

Epoch 739 out of 2000Batch: 1, Loss: 4.088221073150635
Batch: 2, Loss: 4.295430660247803
Batch: 3, Loss: 4.259394645690918
Batch: 4, Loss: 3.628114938735962
Batch: 5, Loss: 3.793173313140869
Batch: 6, Loss: 3.9582462310791016
Batch: 7, Loss: 4.075863361358643
Batch: 8, Loss: 3.709474563598633
Batch: 9, Loss: 4.098082542419434
Batch: 10, Loss: 3.709000825881958
Batch: 11, Loss: 3.9071695804595947
Batch: 12, Loss: 4.204379081726074
Batch: 13, Loss: 3.7675228118896484
Batch: 14, Loss: 4.089953422546387

Epoch 740 out of 2000Batch: 1, Loss: 4.996984481811523
Batch: 2, Loss: 5.264759063720703
Batch: 3, Loss: 5.697368621826172
Batch: 4, Loss: 5.357785701751709
Batch: 5, Loss: 4.905760765075684
Batch: 6, Loss: 5.172879219055176
Batch: 7, Loss: 4.658666133880615
Batch: 8, Loss: 5.058188438415527
Batch: 9, Loss: 4.974534034729004
Batch: 10, Loss: 4.85869836807251
Batch: 11, Loss: 4.9193010330200195
Batch: 12, Loss: 5.23631477355957
Batch: 13, Loss: 4.967401027679443
Batch: 14, Loss: 4.923718452453613

Epoch 741 out of 2000Batch: 1, Loss: 6.181761264801025
Batch: 2, Loss: 5.997191905975342
Batch: 3, Loss: 5.580693244934082
Batch: 4, Loss: 6.184500217437744
Batch: 5, Loss: 6.175514221191406
Batch: 6, Loss: 6.460751533508301
Batch: 7, Loss: 6.125003337860107
Batch: 8, Loss: 5.736264228820801
Batch: 9, Loss: 6.00986909866333
Batch: 10, Loss: 5.765120029449463
Batch: 11, Loss: 5.9411234855651855
Batch: 12, Loss: 6.155033588409424
Batch: 13, Loss: 5.775210857391357
Batch: 14, Loss: 5.953725814819336

Epoch 742 out of 2000Batch: 1, Loss: 4.981009483337402
Batch: 2, Loss: 5.02341890335083
Batch: 3, Loss: 4.674984455108643
Batch: 4, Loss: 5.075045585632324
Batch: 5, Loss: 5.085251808166504
Batch: 6, Loss: 5.219870567321777
Batch: 7, Loss: 5.116020679473877
Batch: 8, Loss: 5.092831611633301
Batch: 9, Loss: 5.160003185272217
Batch: 10, Loss: 5.027862548828125
Batch: 11, Loss: 4.869909286499023
Batch: 12, Loss: 5.240667343139648
Batch: 13, Loss: 5.087800025939941
Batch: 14, Loss: 5.214731216430664

Epoch 743 out of 2000Batch: 1, Loss: 6.217959880828857
Batch: 2, Loss: 6.585587024688721
Batch: 3, Loss: 6.214262962341309
Batch: 4, Loss: 6.486832618713379
Batch: 5, Loss: 6.390963077545166
Batch: 6, Loss: 5.904371738433838
Batch: 7, Loss: 5.998226165771484
Batch: 8, Loss: 5.99362850189209
Batch: 9, Loss: 6.2538347244262695
Batch: 10, Loss: 5.758486747741699
Batch: 11, Loss: 5.7731122970581055
Batch: 12, Loss: 5.884446620941162
Batch: 13, Loss: 5.854135036468506
Batch: 14, Loss: 5.8073201179504395

Epoch 744 out of 2000Batch: 1, Loss: 5.419988632202148
Batch: 2, Loss: 5.60477352142334
Batch: 3, Loss: 5.825164794921875
Batch: 4, Loss: 5.19278621673584
Batch: 5, Loss: 5.454780578613281
Batch: 6, Loss: 5.668542385101318
Batch: 7, Loss: 5.9052324295043945
Batch: 8, Loss: 5.6375627517700195
Batch: 9, Loss: 5.520711898803711
Batch: 10, Loss: 5.053158283233643
Batch: 11, Loss: 4.779356479644775
Batch: 12, Loss: 5.707311153411865
Batch: 13, Loss: 5.632250785827637
Batch: 14, Loss: 5.0966620445251465

Epoch 745 out of 2000Batch: 1, Loss: 5.6053571701049805
Batch: 2, Loss: 5.6816864013671875
Batch: 3, Loss: 5.307963848114014
Batch: 4, Loss: 6.014493465423584
Batch: 5, Loss: 5.421588897705078
Batch: 6, Loss: 5.522907733917236
Batch: 7, Loss: 5.732300758361816
Batch: 8, Loss: 5.702871322631836
Batch: 9, Loss: 5.708150386810303
Batch: 10, Loss: 5.479740142822266
Batch: 11, Loss: 5.278223037719727
Batch: 12, Loss: 5.133018970489502
Batch: 13, Loss: 5.349035739898682
Batch: 14, Loss: 5.087986946105957

Epoch 746 out of 2000Batch: 1, Loss: 5.286149024963379
Batch: 2, Loss: 5.6585845947265625
Batch: 3, Loss: 5.76637601852417
Batch: 4, Loss: 5.6931471824646
Batch: 5, Loss: 5.662905216217041
Batch: 6, Loss: 5.300246238708496
Batch: 7, Loss: 5.730574131011963
Batch: 8, Loss: 5.433894634246826
Batch: 9, Loss: 5.539487361907959
Batch: 10, Loss: 5.449187278747559
Batch: 11, Loss: 5.4559006690979
Batch: 12, Loss: 5.53812313079834
Batch: 13, Loss: 5.789498805999756
Batch: 14, Loss: 5.653719902038574

Epoch 747 out of 2000Batch: 1, Loss: 5.703577518463135
Batch: 2, Loss: 5.896310329437256
Batch: 3, Loss: 5.252607345581055
Batch: 4, Loss: 5.589037895202637
Batch: 5, Loss: 5.468306541442871
Batch: 6, Loss: 5.5608229637146
Batch: 7, Loss: 5.509015083312988
Batch: 8, Loss: 5.2780609130859375
Batch: 9, Loss: 5.110838890075684
Batch: 10, Loss: 5.001905918121338
Batch: 11, Loss: 5.084496021270752
Batch: 12, Loss: 5.4223222732543945
Batch: 13, Loss: 5.011800289154053
Batch: 14, Loss: 4.934936046600342

Epoch 748 out of 2000Batch: 1, Loss: 5.899033546447754
Batch: 2, Loss: 5.539051532745361
Batch: 3, Loss: 5.680130481719971
Batch: 4, Loss: 6.247633457183838
Batch: 5, Loss: 5.8825507164001465
Batch: 6, Loss: 5.557156085968018
Batch: 7, Loss: 5.5808610916137695
Batch: 8, Loss: 6.059234619140625
Batch: 9, Loss: 6.11933708190918
Batch: 10, Loss: 5.819849967956543
Batch: 11, Loss: 6.261889934539795
Batch: 12, Loss: 6.2851057052612305
Batch: 13, Loss: 5.899029731750488
Batch: 14, Loss: 6.338724613189697

Epoch 749 out of 2000Batch: 1, Loss: 4.99932861328125
Batch: 2, Loss: 4.724084854125977
Batch: 3, Loss: 4.551971912384033
Batch: 4, Loss: 4.79532527923584
Batch: 5, Loss: 4.554754734039307
Batch: 6, Loss: 4.564811706542969
Batch: 7, Loss: 4.467843055725098
Batch: 8, Loss: 4.8631181716918945
Batch: 9, Loss: 4.787687301635742
Batch: 10, Loss: 4.54040002822876
Batch: 11, Loss: 4.6604743003845215
Batch: 12, Loss: 4.460958480834961
Batch: 13, Loss: 4.497864246368408
Batch: 14, Loss: 4.443142414093018

Epoch 750 out of 2000Batch: 1, Loss: 5.157638072967529
Batch: 2, Loss: 5.4478983879089355
Batch: 3, Loss: 5.255173206329346
Batch: 4, Loss: 5.170162200927734
Batch: 5, Loss: 4.987759590148926
Batch: 6, Loss: 5.154426574707031
Batch: 7, Loss: 4.783332824707031
Batch: 8, Loss: 5.40883731842041
Batch: 9, Loss: 5.194807529449463
Batch: 10, Loss: 5.30623197555542
Batch: 11, Loss: 4.882627964019775
Batch: 12, Loss: 4.89249324798584
Batch: 13, Loss: 5.45006799697876
Batch: 14, Loss: 5.045680522918701

Epoch 751 out of 2000Batch: 1, Loss: 5.745388507843018
Batch: 2, Loss: 5.936544418334961
Batch: 3, Loss: 5.55034065246582
Batch: 4, Loss: 6.112621784210205
Batch: 5, Loss: 5.804725170135498
Batch: 6, Loss: 5.319709777832031
Batch: 7, Loss: 5.527828216552734
Batch: 8, Loss: 5.355564594268799
Batch: 9, Loss: 5.734478950500488
Batch: 10, Loss: 5.832716464996338
Batch: 11, Loss: 5.634303569793701
Batch: 12, Loss: 5.8903374671936035
Batch: 13, Loss: 5.802767753601074
Batch: 14, Loss: 5.821273326873779

Epoch 752 out of 2000Batch: 1, Loss: 5.703864574432373
Batch: 2, Loss: 5.4548234939575195
Batch: 3, Loss: 5.863640308380127
Batch: 4, Loss: 5.721686363220215
Batch: 5, Loss: 5.174506664276123
Batch: 6, Loss: 5.502463340759277
Batch: 7, Loss: 5.674057960510254
Batch: 8, Loss: 5.233002185821533
Batch: 9, Loss: 5.526826858520508
Batch: 10, Loss: 5.555051803588867
Batch: 11, Loss: 5.202739238739014
Batch: 12, Loss: 5.394741058349609
Batch: 13, Loss: 5.270941734313965
Batch: 14, Loss: 5.424220085144043

Epoch 753 out of 2000Batch: 1, Loss: 5.045998573303223
Batch: 2, Loss: 5.581376552581787
Batch: 3, Loss: 5.23799991607666
Batch: 4, Loss: 5.836185932159424
Batch: 5, Loss: 5.406233787536621
Batch: 6, Loss: 5.383493900299072
Batch: 7, Loss: 4.8959150314331055
Batch: 8, Loss: 5.132309436798096
Batch: 9, Loss: 5.462303161621094
Batch: 10, Loss: 5.769575119018555
Batch: 11, Loss: 5.89613676071167
Batch: 12, Loss: 5.642653942108154
Batch: 13, Loss: 5.391624450683594
Batch: 14, Loss: 5.514581203460693

Epoch 754 out of 2000Batch: 1, Loss: 5.295109272003174
Batch: 2, Loss: 5.5566511154174805
Batch: 3, Loss: 5.293272018432617
Batch: 4, Loss: 5.1224446296691895
Batch: 5, Loss: 5.181331157684326
Batch: 6, Loss: 5.086770534515381
Batch: 7, Loss: 5.256383895874023
Batch: 8, Loss: 5.2713541984558105
Batch: 9, Loss: 5.233749866485596
Batch: 10, Loss: 5.3946661949157715
Batch: 11, Loss: 4.81764030456543
Batch: 12, Loss: 5.033522605895996
Batch: 13, Loss: 5.32919454574585
Batch: 14, Loss: 5.184653282165527

Epoch 755 out of 2000Batch: 1, Loss: 5.435208320617676
Batch: 2, Loss: 5.692691802978516
Batch: 3, Loss: 6.21104621887207
Batch: 4, Loss: 6.149105072021484
Batch: 5, Loss: 5.857853889465332
Batch: 6, Loss: 5.694770336151123
Batch: 7, Loss: 5.966789245605469
Batch: 8, Loss: 5.684378623962402
Batch: 9, Loss: 5.6572651863098145
Batch: 10, Loss: 5.408379077911377
Batch: 11, Loss: 5.7246928215026855
Batch: 12, Loss: 5.5497212409973145
Batch: 13, Loss: 6.195277690887451
Batch: 14, Loss: 5.68945837020874

Epoch 756 out of 2000Batch: 1, Loss: 5.318126678466797
Batch: 2, Loss: 5.5767621994018555
Batch: 3, Loss: 5.192322254180908
Batch: 4, Loss: 5.960389614105225
Batch: 5, Loss: 5.4940185546875
Batch: 6, Loss: 6.032021999359131
Batch: 7, Loss: 5.403185844421387
Batch: 8, Loss: 5.359665393829346
Batch: 9, Loss: 5.3413543701171875
Batch: 10, Loss: 5.533436298370361
Batch: 11, Loss: 5.74044132232666
Batch: 12, Loss: 5.726766109466553
Batch: 13, Loss: 5.350319862365723
Batch: 14, Loss: 4.764298439025879

Epoch 757 out of 2000Batch: 1, Loss: 5.33908748626709
Batch: 2, Loss: 4.9323625564575195
Batch: 3, Loss: 4.983108043670654
Batch: 4, Loss: 4.888058185577393
Batch: 5, Loss: 5.634777545928955
Batch: 6, Loss: 5.076240539550781
Batch: 7, Loss: 4.8100152015686035
Batch: 8, Loss: 5.215365886688232
Batch: 9, Loss: 5.3687567710876465
Batch: 10, Loss: 4.904880523681641
Batch: 11, Loss: 4.85106897354126
Batch: 12, Loss: 4.98874568939209
Batch: 13, Loss: 4.706141471862793
Batch: 14, Loss: 4.914773464202881

Epoch 758 out of 2000Batch: 1, Loss: 5.233955383300781
Batch: 2, Loss: 5.340893745422363
Batch: 3, Loss: 5.534844398498535
Batch: 4, Loss: 5.018646240234375
Batch: 5, Loss: 5.978572368621826
Batch: 6, Loss: 5.343446254730225
Batch: 7, Loss: 4.917006492614746
Batch: 8, Loss: 4.9923415184021
Batch: 9, Loss: 5.24345588684082
Batch: 10, Loss: 5.262805938720703
Batch: 11, Loss: 5.124424934387207
Batch: 12, Loss: 5.2819905281066895
Batch: 13, Loss: 5.138739585876465
Batch: 14, Loss: 5.315438747406006

Epoch 759 out of 2000Batch: 1, Loss: 5.960509777069092
Batch: 2, Loss: 5.642740249633789
Batch: 3, Loss: 5.900256156921387
Batch: 4, Loss: 5.996780872344971
Batch: 5, Loss: 5.845379829406738
Batch: 6, Loss: 5.92683219909668
Batch: 7, Loss: 5.922332763671875
Batch: 8, Loss: 5.842577934265137
Batch: 9, Loss: 5.871417999267578
Batch: 10, Loss: 5.841538429260254
Batch: 11, Loss: 5.8878326416015625
Batch: 12, Loss: 5.751872539520264
Batch: 13, Loss: 6.042282581329346
Batch: 14, Loss: 6.064572811126709

Epoch 760 out of 2000Batch: 1, Loss: 6.470828056335449
Batch: 2, Loss: 5.638687610626221
Batch: 3, Loss: 5.521814823150635
Batch: 4, Loss: 5.974958896636963
Batch: 5, Loss: 6.1636552810668945
Batch: 6, Loss: 5.6089558601379395
Batch: 7, Loss: 5.869137287139893
Batch: 8, Loss: 5.7957892417907715
Batch: 9, Loss: 6.091343402862549
Batch: 10, Loss: 6.174901008605957
Batch: 11, Loss: 6.254002571105957
Batch: 12, Loss: 5.859613418579102
Batch: 13, Loss: 5.680232524871826
Batch: 14, Loss: 6.367639541625977

Epoch 761 out of 2000Batch: 1, Loss: 5.734140396118164
Batch: 2, Loss: 6.294715881347656
Batch: 3, Loss: 5.583094596862793
Batch: 4, Loss: 6.316174507141113
Batch: 5, Loss: 6.361201763153076
Batch: 6, Loss: 5.656747341156006
Batch: 7, Loss: 5.782073020935059
Batch: 8, Loss: 5.732083320617676
Batch: 9, Loss: 6.377084732055664
Batch: 10, Loss: 5.5794997215271
Batch: 11, Loss: 5.973019123077393
Batch: 12, Loss: 6.092940807342529
Batch: 13, Loss: 5.153067588806152
Batch: 14, Loss: 5.7829437255859375

Epoch 762 out of 2000Batch: 1, Loss: 5.328235626220703
Batch: 2, Loss: 5.5428619384765625
Batch: 3, Loss: 5.1257100105285645
Batch: 4, Loss: 5.522019386291504
Batch: 5, Loss: 5.2462158203125
Batch: 6, Loss: 5.14346981048584
Batch: 7, Loss: 5.702164649963379
Batch: 8, Loss: 5.309794902801514
Batch: 9, Loss: 5.4972405433654785
Batch: 10, Loss: 5.311476230621338
Batch: 11, Loss: 6.053576469421387
Batch: 12, Loss: 5.345349311828613
Batch: 13, Loss: 5.830007553100586
Batch: 14, Loss: 5.577033996582031

Epoch 763 out of 2000Batch: 1, Loss: 5.770315647125244
Batch: 2, Loss: 5.999704837799072
Batch: 3, Loss: 5.573168754577637
Batch: 4, Loss: 5.931912422180176
Batch: 5, Loss: 5.844679355621338
Batch: 6, Loss: 5.467436790466309
Batch: 7, Loss: 5.477557182312012
Batch: 8, Loss: 5.40297794342041
Batch: 9, Loss: 5.797909259796143
Batch: 10, Loss: 5.8911943435668945
Batch: 11, Loss: 5.687961578369141
Batch: 12, Loss: 5.457737445831299
Batch: 13, Loss: 5.392899990081787
Batch: 14, Loss: 5.225224018096924

Epoch 764 out of 2000Batch: 1, Loss: 5.323173522949219
Batch: 2, Loss: 4.712860584259033
Batch: 3, Loss: 5.418726444244385
Batch: 4, Loss: 5.259735107421875
Batch: 5, Loss: 5.025564670562744
Batch: 6, Loss: 4.86078405380249
Batch: 7, Loss: 4.909117221832275
Batch: 8, Loss: 5.225419998168945
Batch: 9, Loss: 4.556278228759766
Batch: 10, Loss: 5.14043664932251
Batch: 11, Loss: 4.853217124938965
Batch: 12, Loss: 5.210937976837158
Batch: 13, Loss: 5.120907306671143
Batch: 14, Loss: 4.616865634918213

Epoch 765 out of 2000Batch: 1, Loss: 5.695223808288574
Batch: 2, Loss: 6.31763219833374
Batch: 3, Loss: 5.8137102127075195
Batch: 4, Loss: 6.008652210235596
Batch: 5, Loss: 5.6764421463012695
Batch: 6, Loss: 5.741685390472412
Batch: 7, Loss: 5.8391828536987305
Batch: 8, Loss: 5.867780685424805
Batch: 9, Loss: 5.913843154907227
Batch: 10, Loss: 5.211818218231201
Batch: 11, Loss: 5.815505504608154
Batch: 12, Loss: 5.6124677658081055
Batch: 13, Loss: 5.535053730010986
Batch: 14, Loss: 5.797539234161377

Epoch 766 out of 2000Batch: 1, Loss: 5.282373428344727
Batch: 2, Loss: 4.771057605743408
Batch: 3, Loss: 5.044029235839844
Batch: 4, Loss: 4.789103984832764
Batch: 5, Loss: 5.298917770385742
Batch: 6, Loss: 5.031323432922363
Batch: 7, Loss: 4.88999080657959
Batch: 8, Loss: 5.145573139190674
Batch: 9, Loss: 5.096695899963379
Batch: 10, Loss: 4.53036642074585
Batch: 11, Loss: 4.727916717529297
Batch: 12, Loss: 4.889495849609375
Batch: 13, Loss: 4.762417316436768
Batch: 14, Loss: 4.752342700958252

Epoch 767 out of 2000Batch: 1, Loss: 4.750204086303711
Batch: 2, Loss: 4.851717948913574
Batch: 3, Loss: 4.8379387855529785
Batch: 4, Loss: 4.6213531494140625
Batch: 5, Loss: 4.770696640014648
Batch: 6, Loss: 4.861647605895996
Batch: 7, Loss: 4.916258811950684
Batch: 8, Loss: 4.813449382781982
Batch: 9, Loss: 4.537533283233643
Batch: 10, Loss: 4.790286540985107
Batch: 11, Loss: 4.194723606109619
Batch: 12, Loss: 4.75241231918335
Batch: 13, Loss: 4.860034942626953
Batch: 14, Loss: 4.847594738006592

Epoch 768 out of 2000Batch: 1, Loss: 6.4449052810668945
Batch: 2, Loss: 5.896420478820801
Batch: 3, Loss: 6.246647834777832
Batch: 4, Loss: 6.139205455780029
Batch: 5, Loss: 6.331475734710693
Batch: 6, Loss: 5.953434944152832
Batch: 7, Loss: 5.599822521209717
Batch: 8, Loss: 5.921455383300781
Batch: 9, Loss: 5.863032817840576
Batch: 10, Loss: 5.803420543670654
Batch: 11, Loss: 5.958133697509766
Batch: 12, Loss: 6.049252033233643
Batch: 13, Loss: 5.730182647705078
Batch: 14, Loss: 6.147985935211182

Epoch 769 out of 2000Batch: 1, Loss: 5.499903202056885
Batch: 2, Loss: 5.356897354125977
Batch: 3, Loss: 5.671775817871094
Batch: 4, Loss: 5.536779880523682
Batch: 5, Loss: 5.878304958343506
Batch: 6, Loss: 5.769859790802002
Batch: 7, Loss: 5.777595043182373
Batch: 8, Loss: 5.86990213394165
Batch: 9, Loss: 5.617162227630615
Batch: 10, Loss: 5.860146522521973
Batch: 11, Loss: 5.919713497161865
Batch: 12, Loss: 5.627479553222656
Batch: 13, Loss: 5.548974514007568
Batch: 14, Loss: 4.862646579742432

Epoch 770 out of 2000Batch: 1, Loss: 6.122175216674805
Batch: 2, Loss: 6.272892951965332
Batch: 3, Loss: 5.963181495666504
Batch: 4, Loss: 5.969878673553467
Batch: 5, Loss: 5.106690883636475
Batch: 6, Loss: 5.869500637054443
Batch: 7, Loss: 5.840201377868652
Batch: 8, Loss: 5.921412944793701
Batch: 9, Loss: 5.723302364349365
Batch: 10, Loss: 6.185763835906982
Batch: 11, Loss: 6.029556751251221
Batch: 12, Loss: 5.517566204071045
Batch: 13, Loss: 6.130699157714844
Batch: 14, Loss: 5.438658237457275

Epoch 771 out of 2000Batch: 1, Loss: 5.680477619171143
Batch: 2, Loss: 6.272500991821289
Batch: 3, Loss: 6.134265899658203
Batch: 4, Loss: 5.410536766052246
Batch: 5, Loss: 6.104374408721924
Batch: 6, Loss: 5.821652412414551
Batch: 7, Loss: 6.22542667388916
Batch: 8, Loss: 5.628742218017578
Batch: 9, Loss: 6.210194110870361
Batch: 10, Loss: 5.579993724822998
Batch: 11, Loss: 5.835339069366455
Batch: 12, Loss: 5.291388034820557
Batch: 13, Loss: 5.860311508178711
Batch: 14, Loss: 5.800057888031006

Epoch 772 out of 2000Batch: 1, Loss: 6.0854878425598145
Batch: 2, Loss: 6.120604038238525
Batch: 3, Loss: 6.216060161590576
Batch: 4, Loss: 5.750238418579102
Batch: 5, Loss: 6.120238304138184
Batch: 6, Loss: 5.840839385986328
Batch: 7, Loss: 5.730173587799072
Batch: 8, Loss: 5.792928218841553
Batch: 9, Loss: 6.2250494956970215
Batch: 10, Loss: 6.063302993774414
Batch: 11, Loss: 6.346154689788818
Batch: 12, Loss: 5.864898204803467
Batch: 13, Loss: 6.358892917633057
Batch: 14, Loss: 6.033933162689209

Epoch 773 out of 2000Batch: 1, Loss: 6.280637741088867
Batch: 2, Loss: 6.096719741821289
Batch: 3, Loss: 6.560918807983398
Batch: 4, Loss: 6.347201824188232
Batch: 5, Loss: 6.56675910949707
Batch: 6, Loss: 6.225677013397217
Batch: 7, Loss: 6.357425212860107
Batch: 8, Loss: 6.656220436096191
Batch: 9, Loss: 6.134152412414551
Batch: 10, Loss: 6.546279430389404
Batch: 11, Loss: 6.54166841506958
Batch: 12, Loss: 6.041450023651123
Batch: 13, Loss: 6.197273254394531
Batch: 14, Loss: 5.84119176864624

Epoch 774 out of 2000Batch: 1, Loss: 5.287113189697266
Batch: 2, Loss: 4.981784343719482
Batch: 3, Loss: 4.755265235900879
Batch: 4, Loss: 5.494063377380371
Batch: 5, Loss: 4.879023551940918
Batch: 6, Loss: 5.228090763092041
Batch: 7, Loss: 5.045701026916504
Batch: 8, Loss: 4.876364707946777
Batch: 9, Loss: 4.970144748687744
Batch: 10, Loss: 4.877850532531738
Batch: 11, Loss: 4.931458473205566
Batch: 12, Loss: 4.909602165222168
Batch: 13, Loss: 4.4604363441467285
Batch: 14, Loss: 5.276106834411621

Epoch 775 out of 2000Batch: 1, Loss: 4.984381675720215
Batch: 2, Loss: 5.073248386383057
Batch: 3, Loss: 5.039249420166016
Batch: 4, Loss: 5.528393745422363
Batch: 5, Loss: 5.206944942474365
Batch: 6, Loss: 5.160804271697998
Batch: 7, Loss: 5.315740585327148
Batch: 8, Loss: 5.329095363616943
Batch: 9, Loss: 4.808863162994385
Batch: 10, Loss: 5.096705436706543
Batch: 11, Loss: 5.282573699951172
Batch: 12, Loss: 4.9304890632629395
Batch: 13, Loss: 5.064728260040283
Batch: 14, Loss: 5.486879825592041

Epoch 776 out of 2000Batch: 1, Loss: 5.2404584884643555
Batch: 2, Loss: 5.686622142791748
Batch: 3, Loss: 5.497101783752441
Batch: 4, Loss: 5.711198806762695
Batch: 5, Loss: 5.483475208282471
Batch: 6, Loss: 5.0911173820495605
Batch: 7, Loss: 5.680500030517578
Batch: 8, Loss: 5.469799041748047
Batch: 9, Loss: 5.329590320587158
Batch: 10, Loss: 5.15319299697876
Batch: 11, Loss: 5.5148162841796875
Batch: 12, Loss: 5.514907360076904
Batch: 13, Loss: 5.130817413330078
Batch: 14, Loss: 4.953266620635986

Epoch 777 out of 2000Batch: 1, Loss: 6.055405139923096
Batch: 2, Loss: 6.068831920623779
Batch: 3, Loss: 6.081631660461426
Batch: 4, Loss: 6.137218952178955
Batch: 5, Loss: 5.7782182693481445
Batch: 6, Loss: 5.71460485458374
Batch: 7, Loss: 5.774426460266113
Batch: 8, Loss: 5.844383239746094
Batch: 9, Loss: 5.665635108947754
Batch: 10, Loss: 5.845276832580566
Batch: 11, Loss: 5.8587541580200195
Batch: 12, Loss: 5.862992286682129
Batch: 13, Loss: 5.684935092926025
Batch: 14, Loss: 5.645030975341797

Epoch 778 out of 2000Batch: 1, Loss: 5.02337121963501
Batch: 2, Loss: 4.921573162078857
Batch: 3, Loss: 5.045517444610596
Batch: 4, Loss: 4.8640594482421875
Batch: 5, Loss: 4.944526195526123
Batch: 6, Loss: 4.613654136657715
Batch: 7, Loss: 4.714318752288818
Batch: 8, Loss: 5.06904411315918
Batch: 9, Loss: 5.14411735534668
Batch: 10, Loss: 4.964658737182617
Batch: 11, Loss: 4.520689487457275
Batch: 12, Loss: 4.92393159866333
Batch: 13, Loss: 4.828347206115723
Batch: 14, Loss: 4.732646942138672

Epoch 779 out of 2000Batch: 1, Loss: 5.926591396331787
Batch: 2, Loss: 5.31913948059082
Batch: 3, Loss: 6.316707611083984
Batch: 4, Loss: 5.211078643798828
Batch: 5, Loss: 5.789147853851318
Batch: 6, Loss: 5.606092929840088
Batch: 7, Loss: 5.438834190368652
Batch: 8, Loss: 5.79853630065918
Batch: 9, Loss: 5.371781826019287
Batch: 10, Loss: 5.2999420166015625
Batch: 11, Loss: 5.633398056030273
Batch: 12, Loss: 5.321581840515137
Batch: 13, Loss: 5.506533145904541
Batch: 14, Loss: 5.66375732421875

Epoch 780 out of 2000Batch: 1, Loss: 5.37933349609375
Batch: 2, Loss: 5.205953598022461
Batch: 3, Loss: 4.978885650634766
Batch: 4, Loss: 5.317502975463867
Batch: 5, Loss: 5.8512492179870605
Batch: 6, Loss: 5.245140552520752
Batch: 7, Loss: 5.8604817390441895
Batch: 8, Loss: 5.3305864334106445
Batch: 9, Loss: 5.793999195098877
Batch: 10, Loss: 5.368284225463867
Batch: 11, Loss: 5.208252906799316
Batch: 12, Loss: 5.576905727386475
Batch: 13, Loss: 5.508294582366943
Batch: 14, Loss: 4.910046577453613

Epoch 781 out of 2000Batch: 1, Loss: 4.827425479888916
Batch: 2, Loss: 5.028136253356934
Batch: 3, Loss: 4.712708473205566
Batch: 4, Loss: 4.884852886199951
Batch: 5, Loss: 4.997763633728027
Batch: 6, Loss: 4.707024097442627
Batch: 7, Loss: 4.550762176513672
Batch: 8, Loss: 4.532954216003418
Batch: 9, Loss: 4.736935615539551
Batch: 10, Loss: 4.879282474517822
Batch: 11, Loss: 4.625412940979004
Batch: 12, Loss: 4.4377617835998535
Batch: 13, Loss: 4.846113681793213
Batch: 14, Loss: 4.5488715171813965

Epoch 782 out of 2000Batch: 1, Loss: 5.4408698081970215
Batch: 2, Loss: 5.583918571472168
Batch: 3, Loss: 5.281370639801025
Batch: 4, Loss: 5.532694339752197
Batch: 5, Loss: 5.561551094055176
Batch: 6, Loss: 5.183938503265381
Batch: 7, Loss: 5.57263708114624
Batch: 8, Loss: 5.0785322189331055
Batch: 9, Loss: 5.5908203125
Batch: 10, Loss: 5.553696632385254
Batch: 11, Loss: 5.577053070068359
Batch: 12, Loss: 5.6879563331604
Batch: 13, Loss: 5.080974102020264
Batch: 14, Loss: 5.456157207489014

Epoch 783 out of 2000Batch: 1, Loss: 5.488704204559326
Batch: 2, Loss: 5.308018207550049
Batch: 3, Loss: 5.478402614593506
Batch: 4, Loss: 5.273259162902832
Batch: 5, Loss: 5.288525104522705
Batch: 6, Loss: 5.13748836517334
Batch: 7, Loss: 5.238284587860107
Batch: 8, Loss: 4.76692008972168
Batch: 9, Loss: 5.146738052368164
Batch: 10, Loss: 5.308532238006592
Batch: 11, Loss: 5.048573970794678
Batch: 12, Loss: 5.4233717918396
Batch: 13, Loss: 5.260439872741699
Batch: 14, Loss: 5.609158515930176

Epoch 784 out of 2000Batch: 1, Loss: 5.898800849914551
Batch: 2, Loss: 5.724814414978027
Batch: 3, Loss: 5.267675399780273
Batch: 4, Loss: 5.8400163650512695
Batch: 5, Loss: 5.658661842346191
Batch: 6, Loss: 5.2492594718933105
Batch: 7, Loss: 5.023580551147461
Batch: 8, Loss: 5.494104862213135
Batch: 9, Loss: 5.506276607513428
Batch: 10, Loss: 5.570044994354248
Batch: 11, Loss: 5.658032417297363
Batch: 12, Loss: 5.791099548339844
Batch: 13, Loss: 5.764716148376465
Batch: 14, Loss: 5.415406227111816

Epoch 785 out of 2000Batch: 1, Loss: 5.50541353225708
Batch: 2, Loss: 5.315291404724121
Batch: 3, Loss: 4.759668827056885
Batch: 4, Loss: 5.310585975646973
Batch: 5, Loss: 5.601486682891846
Batch: 6, Loss: 5.916932582855225
Batch: 7, Loss: 5.73783016204834
Batch: 8, Loss: 5.654110908508301
Batch: 9, Loss: 5.722691059112549
Batch: 10, Loss: 5.249471187591553
Batch: 11, Loss: 5.6089019775390625
Batch: 12, Loss: 5.150923728942871
Batch: 13, Loss: 5.05454158782959
Batch: 14, Loss: 4.974965572357178

Epoch 786 out of 2000Batch: 1, Loss: 5.746553421020508
Batch: 2, Loss: 5.732236862182617
Batch: 3, Loss: 6.014875411987305
Batch: 4, Loss: 5.8419952392578125
Batch: 5, Loss: 5.6512274742126465
Batch: 6, Loss: 5.481102466583252
Batch: 7, Loss: 5.7611823081970215
Batch: 8, Loss: 5.700475215911865
Batch: 9, Loss: 6.158757209777832
Batch: 10, Loss: 5.935401916503906
Batch: 11, Loss: 5.729248046875
Batch: 12, Loss: 6.369582653045654
Batch: 13, Loss: 5.834757328033447
Batch: 14, Loss: 5.8970255851745605

Epoch 787 out of 2000Batch: 1, Loss: 5.358630180358887
Batch: 2, Loss: 5.796861171722412
Batch: 3, Loss: 5.685356140136719
Batch: 4, Loss: 5.471551895141602
Batch: 5, Loss: 5.79754114151001
Batch: 6, Loss: 5.526250839233398
Batch: 7, Loss: 5.772792339324951
Batch: 8, Loss: 5.268263339996338
Batch: 9, Loss: 5.497599124908447
Batch: 10, Loss: 5.523213863372803
Batch: 11, Loss: 5.361843585968018
Batch: 12, Loss: 5.324511528015137
Batch: 13, Loss: 5.144412994384766
Batch: 14, Loss: 5.486953258514404

Epoch 788 out of 2000Batch: 1, Loss: 5.808534622192383
Batch: 2, Loss: 5.798148155212402
Batch: 3, Loss: 6.034261226654053
Batch: 4, Loss: 5.622988224029541
Batch: 5, Loss: 5.8740997314453125
Batch: 6, Loss: 5.858189105987549
Batch: 7, Loss: 5.719115734100342
Batch: 8, Loss: 5.487630844116211
Batch: 9, Loss: 6.025945663452148
Batch: 10, Loss: 5.829071044921875
Batch: 11, Loss: 5.650130748748779
Batch: 12, Loss: 5.3053669929504395
Batch: 13, Loss: 5.933207988739014
Batch: 14, Loss: 5.655588150024414

Epoch 789 out of 2000Batch: 1, Loss: 4.939956188201904
Batch: 2, Loss: 4.85954475402832
Batch: 3, Loss: 5.079920768737793
Batch: 4, Loss: 4.587619781494141
Batch: 5, Loss: 4.891708850860596
Batch: 6, Loss: 5.105887413024902
Batch: 7, Loss: 4.863159656524658
Batch: 8, Loss: 5.40849494934082
Batch: 9, Loss: 5.111905097961426
Batch: 10, Loss: 4.984129905700684
Batch: 11, Loss: 4.939246654510498
Batch: 12, Loss: 4.929882049560547
Batch: 13, Loss: 4.799006462097168
Batch: 14, Loss: 4.856431007385254

Epoch 790 out of 2000Batch: 1, Loss: 5.8786749839782715
Batch: 2, Loss: 5.724850177764893
Batch: 3, Loss: 5.297862529754639
Batch: 4, Loss: 5.576514720916748
Batch: 5, Loss: 5.871192932128906
Batch: 6, Loss: 6.234043121337891
Batch: 7, Loss: 5.604703426361084
Batch: 8, Loss: 6.098536014556885
Batch: 9, Loss: 5.471058368682861
Batch: 10, Loss: 6.099606037139893
Batch: 11, Loss: 5.886106014251709
Batch: 12, Loss: 5.203217506408691
Batch: 13, Loss: 6.052531719207764
Batch: 14, Loss: 5.945522785186768

Epoch 791 out of 2000Batch: 1, Loss: 5.80359411239624
Batch: 2, Loss: 6.012503623962402
Batch: 3, Loss: 6.104784965515137
Batch: 4, Loss: 5.531261444091797
Batch: 5, Loss: 5.899672985076904
Batch: 6, Loss: 5.416560173034668
Batch: 7, Loss: 6.195301055908203
Batch: 8, Loss: 5.460562229156494
Batch: 9, Loss: 5.4009175300598145
Batch: 10, Loss: 6.069009304046631
Batch: 11, Loss: 5.983166694641113
Batch: 12, Loss: 5.547807693481445
Batch: 13, Loss: 6.012344837188721
Batch: 14, Loss: 5.827132701873779

Epoch 792 out of 2000Batch: 1, Loss: 5.487167835235596
Batch: 2, Loss: 5.499471664428711
Batch: 3, Loss: 4.936855792999268
Batch: 4, Loss: 5.337583065032959
Batch: 5, Loss: 5.104614734649658
Batch: 6, Loss: 4.703601837158203
Batch: 7, Loss: 5.203816890716553
Batch: 8, Loss: 5.071297645568848
Batch: 9, Loss: 5.60377836227417
Batch: 10, Loss: 5.1989312171936035
Batch: 11, Loss: 5.169707775115967
Batch: 12, Loss: 5.251235008239746
Batch: 13, Loss: 5.232990741729736
Batch: 14, Loss: 4.895393371582031

Epoch 793 out of 2000Batch: 1, Loss: 6.079383373260498
Batch: 2, Loss: 5.914091110229492
Batch: 3, Loss: 5.126749038696289
Batch: 4, Loss: 5.270611763000488
Batch: 5, Loss: 5.592864990234375
Batch: 6, Loss: 5.889081001281738
Batch: 7, Loss: 6.034252643585205
Batch: 8, Loss: 5.9626359939575195
Batch: 9, Loss: 5.847975730895996
Batch: 10, Loss: 5.496910572052002
Batch: 11, Loss: 5.387914657592773
Batch: 12, Loss: 5.9801530838012695
Batch: 13, Loss: 5.641299724578857
Batch: 14, Loss: 5.69085168838501

Epoch 794 out of 2000Batch: 1, Loss: 5.082249641418457
Batch: 2, Loss: 5.644917964935303
Batch: 3, Loss: 5.782001495361328
Batch: 4, Loss: 5.4559197425842285
Batch: 5, Loss: 5.127581596374512
Batch: 6, Loss: 5.232815742492676
Batch: 7, Loss: 5.240803241729736
Batch: 8, Loss: 5.418591499328613
Batch: 9, Loss: 5.133411884307861
Batch: 10, Loss: 5.5283637046813965
Batch: 11, Loss: 5.542337894439697
Batch: 12, Loss: 5.076374053955078
Batch: 13, Loss: 5.298402309417725
Batch: 14, Loss: 5.4039998054504395

Epoch 795 out of 2000Batch: 1, Loss: 5.653624534606934
Batch: 2, Loss: 5.832220554351807
Batch: 3, Loss: 5.839259147644043
Batch: 4, Loss: 5.405786514282227
Batch: 5, Loss: 5.7690958976745605
Batch: 6, Loss: 5.233236312866211
Batch: 7, Loss: 5.400196075439453
Batch: 8, Loss: 5.726302623748779
Batch: 9, Loss: 5.2973313331604
Batch: 10, Loss: 5.559926986694336
Batch: 11, Loss: 5.514769554138184
Batch: 12, Loss: 5.4176483154296875
Batch: 13, Loss: 5.490856647491455
Batch: 14, Loss: 6.287511348724365

Epoch 796 out of 2000Batch: 1, Loss: 5.886096954345703
Batch: 2, Loss: 5.85582160949707
Batch: 3, Loss: 5.862367630004883
Batch: 4, Loss: 5.133039951324463
Batch: 5, Loss: 5.672479152679443
Batch: 6, Loss: 5.5013909339904785
Batch: 7, Loss: 6.181789398193359
Batch: 8, Loss: 5.399624824523926
Batch: 9, Loss: 5.357824802398682
Batch: 10, Loss: 5.6345062255859375
Batch: 11, Loss: 5.6144208908081055
Batch: 12, Loss: 5.65897798538208
Batch: 13, Loss: 5.849164962768555
Batch: 14, Loss: 6.15585470199585

Epoch 797 out of 2000Batch: 1, Loss: 5.2781171798706055
Batch: 2, Loss: 5.286513805389404
Batch: 3, Loss: 5.911899089813232
Batch: 4, Loss: 5.220916271209717
Batch: 5, Loss: 5.352396011352539
Batch: 6, Loss: 5.559706687927246
Batch: 7, Loss: 5.546803951263428
Batch: 8, Loss: 5.2651824951171875
Batch: 9, Loss: 5.141146659851074
Batch: 10, Loss: 5.090158939361572
Batch: 11, Loss: 5.406822204589844
Batch: 12, Loss: 5.302333831787109
Batch: 13, Loss: 5.0220184326171875
Batch: 14, Loss: 5.066005706787109

Epoch 798 out of 2000Batch: 1, Loss: 5.045207977294922
Batch: 2, Loss: 5.106398582458496
Batch: 3, Loss: 5.0156965255737305
Batch: 4, Loss: 4.546142101287842
Batch: 5, Loss: 5.094019889831543
Batch: 6, Loss: 4.552957057952881
Batch: 7, Loss: 4.8717780113220215
Batch: 8, Loss: 4.826515197753906
Batch: 9, Loss: 4.717761039733887
Batch: 10, Loss: 5.24294376373291
Batch: 11, Loss: 4.38615083694458
Batch: 12, Loss: 5.007928371429443
Batch: 13, Loss: 4.472667217254639
Batch: 14, Loss: 4.96168327331543

Epoch 799 out of 2000Batch: 1, Loss: 4.870091438293457
Batch: 2, Loss: 4.989378452301025
Batch: 3, Loss: 4.939061164855957
Batch: 4, Loss: 4.959448337554932
Batch: 5, Loss: 4.888674259185791
Batch: 6, Loss: 4.925207614898682
Batch: 7, Loss: 4.962170124053955
Batch: 8, Loss: 4.754058361053467
Batch: 9, Loss: 4.9005818367004395
Batch: 10, Loss: 5.028569221496582
Batch: 11, Loss: 4.8616251945495605
Batch: 12, Loss: 4.933408260345459
Batch: 13, Loss: 4.618430137634277
Batch: 14, Loss: 4.815324783325195

Epoch 800 out of 2000Batch: 1, Loss: 5.453326225280762
Batch: 2, Loss: 5.26702356338501
Batch: 3, Loss: 5.2846598625183105
Batch: 4, Loss: 5.003579139709473
Batch: 5, Loss: 5.182303428649902
Batch: 6, Loss: 5.385332107543945
Batch: 7, Loss: 5.176973342895508
Batch: 8, Loss: 5.075693607330322
Batch: 9, Loss: 5.249924659729004
Batch: 10, Loss: 5.503973007202148
Batch: 11, Loss: 5.214234352111816
Batch: 12, Loss: 5.105246543884277
Batch: 13, Loss: 5.055531024932861
Batch: 14, Loss: 5.20944881439209

Epoch 801 out of 2000Batch: 1, Loss: 5.705089092254639
Batch: 2, Loss: 5.576605319976807
Batch: 3, Loss: 5.716238498687744
Batch: 4, Loss: 5.517648696899414
Batch: 5, Loss: 5.396316051483154
Batch: 6, Loss: 5.350339889526367
Batch: 7, Loss: 5.464231967926025
Batch: 8, Loss: 5.860472679138184
Batch: 9, Loss: 5.801573276519775
Batch: 10, Loss: 5.909575939178467
Batch: 11, Loss: 5.774561405181885
Batch: 12, Loss: 5.833813190460205
Batch: 13, Loss: 5.74397087097168
Batch: 14, Loss: 5.332928657531738

Epoch 802 out of 2000Batch: 1, Loss: 6.083804607391357
Batch: 2, Loss: 6.61875581741333
Batch: 3, Loss: 6.186173915863037
Batch: 4, Loss: 6.384791851043701
Batch: 5, Loss: 6.2373046875
Batch: 6, Loss: 6.027225494384766
Batch: 7, Loss: 6.108731269836426
Batch: 8, Loss: 5.865135192871094
Batch: 9, Loss: 5.735752582550049
Batch: 10, Loss: 5.855906963348389
Batch: 11, Loss: 6.403426647186279
Batch: 12, Loss: 5.8406476974487305
Batch: 13, Loss: 5.9631733894348145
Batch: 14, Loss: 6.130037784576416

Epoch 803 out of 2000Batch: 1, Loss: 5.341785907745361
Batch: 2, Loss: 5.668506622314453
Batch: 3, Loss: 5.393788814544678
Batch: 4, Loss: 5.575355052947998
Batch: 5, Loss: 5.129060745239258
Batch: 6, Loss: 5.369917869567871
Batch: 7, Loss: 5.271279335021973
Batch: 8, Loss: 5.398714542388916
Batch: 9, Loss: 5.438735008239746
Batch: 10, Loss: 5.055994033813477
Batch: 11, Loss: 5.783256530761719
Batch: 12, Loss: 5.142939567565918
Batch: 13, Loss: 5.4828033447265625
Batch: 14, Loss: 5.356378078460693

Epoch 804 out of 2000Batch: 1, Loss: 5.570542335510254
Batch: 2, Loss: 5.137014389038086
Batch: 3, Loss: 5.236496925354004
Batch: 4, Loss: 5.180105686187744
Batch: 5, Loss: 5.229380130767822
Batch: 6, Loss: 4.838496685028076
Batch: 7, Loss: 4.998549938201904
Batch: 8, Loss: 5.218034267425537
Batch: 9, Loss: 5.106059551239014
Batch: 10, Loss: 5.284361839294434
Batch: 11, Loss: 5.314198970794678
Batch: 12, Loss: 5.197508335113525
Batch: 13, Loss: 5.249362468719482
Batch: 14, Loss: 5.372235298156738

Epoch 805 out of 2000Batch: 1, Loss: 4.794244289398193
Batch: 2, Loss: 5.1881513595581055
Batch: 3, Loss: 4.907886505126953
Batch: 4, Loss: 5.174842357635498
Batch: 5, Loss: 5.1273512840271
Batch: 6, Loss: 4.882141590118408
Batch: 7, Loss: 5.2157087326049805
Batch: 8, Loss: 4.592337131500244
Batch: 9, Loss: 5.286499500274658
Batch: 10, Loss: 5.298908233642578
Batch: 11, Loss: 4.963433265686035
Batch: 12, Loss: 4.815083026885986
Batch: 13, Loss: 5.284611225128174
Batch: 14, Loss: 5.06107759475708

Epoch 806 out of 2000Batch: 1, Loss: 4.752847194671631
Batch: 2, Loss: 4.71359395980835
Batch: 3, Loss: 4.565649032592773
Batch: 4, Loss: 4.483578205108643
Batch: 5, Loss: 5.026087284088135
Batch: 6, Loss: 4.596701145172119
Batch: 7, Loss: 3.935515880584717
Batch: 8, Loss: 4.458827495574951
Batch: 9, Loss: 4.533929347991943
Batch: 10, Loss: 4.534020900726318
Batch: 11, Loss: 4.7214179039001465
Batch: 12, Loss: 4.583878040313721
Batch: 13, Loss: 4.651466369628906
Batch: 14, Loss: 4.860814571380615

Epoch 807 out of 2000Batch: 1, Loss: 5.5237860679626465
Batch: 2, Loss: 5.817195415496826
Batch: 3, Loss: 5.680214881896973
Batch: 4, Loss: 5.425085067749023
Batch: 5, Loss: 6.086548805236816
Batch: 6, Loss: 5.6457719802856445
Batch: 7, Loss: 5.354608535766602
Batch: 8, Loss: 5.819463729858398
Batch: 9, Loss: 5.984789848327637
Batch: 10, Loss: 5.505757808685303
Batch: 11, Loss: 5.525890350341797
Batch: 12, Loss: 5.457692623138428
Batch: 13, Loss: 5.601229667663574
Batch: 14, Loss: 5.449477672576904

Epoch 808 out of 2000Batch: 1, Loss: 5.059016227722168
Batch: 2, Loss: 5.3062262535095215
Batch: 3, Loss: 5.643874645233154
Batch: 4, Loss: 5.384801864624023
Batch: 5, Loss: 5.002246856689453
Batch: 6, Loss: 5.397772789001465
Batch: 7, Loss: 5.620065212249756
Batch: 8, Loss: 5.722839832305908
Batch: 9, Loss: 5.019813060760498
Batch: 10, Loss: 5.620018482208252
Batch: 11, Loss: 5.68588924407959
Batch: 12, Loss: 5.1096510887146
Batch: 13, Loss: 5.214078426361084
Batch: 14, Loss: 5.31066370010376

Epoch 809 out of 2000Batch: 1, Loss: 5.443819046020508
Batch: 2, Loss: 5.294003963470459
Batch: 3, Loss: 4.937934875488281
Batch: 4, Loss: 4.83394193649292
Batch: 5, Loss: 5.19102144241333
Batch: 6, Loss: 5.097812652587891
Batch: 7, Loss: 5.193194389343262
Batch: 8, Loss: 5.1640400886535645
Batch: 9, Loss: 5.0274176597595215
Batch: 10, Loss: 4.543018341064453
Batch: 11, Loss: 4.6117963790893555
Batch: 12, Loss: 4.546970367431641
Batch: 13, Loss: 4.909036636352539
Batch: 14, Loss: 4.915755271911621

Epoch 810 out of 2000Batch: 1, Loss: 5.431754112243652
Batch: 2, Loss: 5.880494594573975
Batch: 3, Loss: 5.8457231521606445
Batch: 4, Loss: 5.815761566162109
Batch: 5, Loss: 5.483672618865967
Batch: 6, Loss: 5.715390682220459
Batch: 7, Loss: 5.297725200653076
Batch: 8, Loss: 5.617615699768066
Batch: 9, Loss: 5.101925373077393
Batch: 10, Loss: 5.425020694732666
Batch: 11, Loss: 5.840554237365723
Batch: 12, Loss: 6.017635822296143
Batch: 13, Loss: 5.155154228210449
Batch: 14, Loss: 5.6103081703186035

Epoch 811 out of 2000Batch: 1, Loss: 5.219043731689453
Batch: 2, Loss: 4.945904731750488
Batch: 3, Loss: 5.297735214233398
Batch: 4, Loss: 5.120147705078125
Batch: 5, Loss: 5.2125420570373535
Batch: 6, Loss: 5.5216450691223145
Batch: 7, Loss: 5.502357006072998
Batch: 8, Loss: 4.91074800491333
Batch: 9, Loss: 5.217756748199463
Batch: 10, Loss: 5.620028495788574
Batch: 11, Loss: 5.125797271728516
Batch: 12, Loss: 4.3123650550842285
Batch: 13, Loss: 4.750804424285889
Batch: 14, Loss: 5.610078811645508

Epoch 812 out of 2000Batch: 1, Loss: 4.877533435821533
Batch: 2, Loss: 4.857407569885254
Batch: 3, Loss: 5.195631980895996
Batch: 4, Loss: 4.837516784667969
Batch: 5, Loss: 4.880038738250732
Batch: 6, Loss: 4.997058868408203
Batch: 7, Loss: 4.719213962554932
Batch: 8, Loss: 4.413913726806641
Batch: 9, Loss: 5.024645805358887
Batch: 10, Loss: 4.715184211730957
Batch: 11, Loss: 4.85462760925293
Batch: 12, Loss: 4.998080730438232
Batch: 13, Loss: 5.252996921539307
Batch: 14, Loss: 5.073795318603516

Epoch 813 out of 2000Batch: 1, Loss: 5.6002912521362305
Batch: 2, Loss: 5.581786632537842
Batch: 3, Loss: 5.653281211853027
Batch: 4, Loss: 6.060475826263428
Batch: 5, Loss: 6.124461650848389
Batch: 6, Loss: 5.113750457763672
Batch: 7, Loss: 5.503311634063721
Batch: 8, Loss: 5.593674182891846
Batch: 9, Loss: 5.3512396812438965
Batch: 10, Loss: 5.440577507019043
Batch: 11, Loss: 5.913787364959717
Batch: 12, Loss: 5.45232629776001
Batch: 13, Loss: 5.438803672790527
Batch: 14, Loss: 5.332242012023926

Epoch 814 out of 2000Batch: 1, Loss: 4.739397048950195
Batch: 2, Loss: 4.9741644859313965
Batch: 3, Loss: 5.041674613952637
Batch: 4, Loss: 5.129729747772217
Batch: 5, Loss: 5.072411060333252
Batch: 6, Loss: 5.183972358703613
Batch: 7, Loss: 4.643728256225586
Batch: 8, Loss: 4.837796688079834
Batch: 9, Loss: 5.015321731567383
Batch: 10, Loss: 4.864438533782959
Batch: 11, Loss: 4.810558319091797
Batch: 12, Loss: 4.8853068351745605
Batch: 13, Loss: 5.025148391723633
Batch: 14, Loss: 4.498934268951416

Epoch 815 out of 2000Batch: 1, Loss: 4.335148334503174
Batch: 2, Loss: 3.9892847537994385
Batch: 3, Loss: 4.150508403778076
Batch: 4, Loss: 4.210160732269287
Batch: 5, Loss: 4.178038597106934
Batch: 6, Loss: 3.7956080436706543
Batch: 7, Loss: 3.8382909297943115
Batch: 8, Loss: 4.269566059112549
Batch: 9, Loss: 3.827242612838745
Batch: 10, Loss: 3.8595027923583984
Batch: 11, Loss: 3.7644853591918945
Batch: 12, Loss: 3.978952169418335
Batch: 13, Loss: 3.644366502761841
Batch: 14, Loss: 3.612104892730713

Epoch 816 out of 2000Batch: 1, Loss: 5.18889856338501
Batch: 2, Loss: 5.969367980957031
Batch: 3, Loss: 6.090576648712158
Batch: 4, Loss: 5.555673122406006
Batch: 5, Loss: 5.58604621887207
Batch: 6, Loss: 5.328096389770508
Batch: 7, Loss: 6.02315616607666
Batch: 8, Loss: 5.503676414489746
Batch: 9, Loss: 5.5400800704956055
Batch: 10, Loss: 5.663721561431885
Batch: 11, Loss: 5.505642890930176
Batch: 12, Loss: 5.08344841003418
Batch: 13, Loss: 5.194730281829834
Batch: 14, Loss: 5.018019199371338

Epoch 817 out of 2000Batch: 1, Loss: 6.041915416717529
Batch: 2, Loss: 5.549017429351807
Batch: 3, Loss: 6.230917453765869
Batch: 4, Loss: 6.720505714416504
Batch: 5, Loss: 5.734313488006592
Batch: 6, Loss: 6.286203861236572
Batch: 7, Loss: 5.733574867248535
Batch: 8, Loss: 5.789681911468506
Batch: 9, Loss: 5.8322882652282715
Batch: 10, Loss: 6.099390029907227
Batch: 11, Loss: 6.264216423034668
Batch: 12, Loss: 5.669139385223389
Batch: 13, Loss: 7.084044456481934
Batch: 14, Loss: 6.053478717803955

Epoch 818 out of 2000Batch: 1, Loss: 5.146568775177002
Batch: 2, Loss: 5.4381537437438965
Batch: 3, Loss: 5.538491249084473
Batch: 4, Loss: 5.1538920402526855
Batch: 5, Loss: 5.379122734069824
Batch: 6, Loss: 5.431098937988281
Batch: 7, Loss: 5.5769944190979
Batch: 8, Loss: 5.794884204864502
Batch: 9, Loss: 5.298863887786865
Batch: 10, Loss: 5.330671787261963
Batch: 11, Loss: 4.9243483543396
Batch: 12, Loss: 5.345893859863281
Batch: 13, Loss: 5.589924335479736
Batch: 14, Loss: 5.2800164222717285

Epoch 819 out of 2000Batch: 1, Loss: 5.410017967224121
Batch: 2, Loss: 5.489287376403809
Batch: 3, Loss: 5.086667060852051
Batch: 4, Loss: 5.134879112243652
Batch: 5, Loss: 5.314652919769287
Batch: 6, Loss: 5.2542572021484375
Batch: 7, Loss: 4.848450183868408
Batch: 8, Loss: 4.68377161026001
Batch: 9, Loss: 4.954595565795898
Batch: 10, Loss: 4.998056411743164
Batch: 11, Loss: 5.149247169494629
Batch: 12, Loss: 5.232964992523193
Batch: 13, Loss: 5.0645060539245605
Batch: 14, Loss: 5.0958428382873535

Epoch 820 out of 2000Batch: 1, Loss: 5.377155780792236
Batch: 2, Loss: 5.128114223480225
Batch: 3, Loss: 5.188446044921875
Batch: 4, Loss: 5.347086429595947
Batch: 5, Loss: 5.103677272796631
Batch: 6, Loss: 5.26853084564209
Batch: 7, Loss: 5.1125712394714355
Batch: 8, Loss: 5.117033004760742
Batch: 9, Loss: 5.204489707946777
Batch: 10, Loss: 5.059392929077148
Batch: 11, Loss: 4.90297794342041
Batch: 12, Loss: 5.2191548347473145
Batch: 13, Loss: 4.939001083374023
Batch: 14, Loss: 4.922962188720703

Epoch 821 out of 2000Batch: 1, Loss: 4.45646858215332
Batch: 2, Loss: 4.395227432250977
Batch: 3, Loss: 4.0558857917785645
Batch: 4, Loss: 4.525996208190918
Batch: 5, Loss: 4.36963415145874
Batch: 6, Loss: 4.142110347747803
Batch: 7, Loss: 4.390206813812256
Batch: 8, Loss: 4.1616291999816895
Batch: 9, Loss: 4.308310031890869
Batch: 10, Loss: 4.523008823394775
Batch: 11, Loss: 4.353188991546631
Batch: 12, Loss: 4.135698318481445
Batch: 13, Loss: 4.029983997344971
Batch: 14, Loss: 3.7378416061401367

Epoch 822 out of 2000Batch: 1, Loss: 4.757111072540283
Batch: 2, Loss: 4.562295913696289
Batch: 3, Loss: 4.385807514190674
Batch: 4, Loss: 4.717473030090332
Batch: 5, Loss: 4.771369934082031
Batch: 6, Loss: 4.658632278442383
Batch: 7, Loss: 4.3135271072387695
Batch: 8, Loss: 4.774456977844238
Batch: 9, Loss: 4.514667987823486
Batch: 10, Loss: 4.541447639465332
Batch: 11, Loss: 4.315280437469482
Batch: 12, Loss: 4.740489482879639
Batch: 13, Loss: 4.621236801147461
Batch: 14, Loss: 4.360583782196045

Epoch 823 out of 2000Batch: 1, Loss: 5.020671844482422
Batch: 2, Loss: 5.475042819976807
Batch: 3, Loss: 5.653388977050781
Batch: 4, Loss: 5.199443817138672
Batch: 5, Loss: 5.661803245544434
Batch: 6, Loss: 5.102787017822266
Batch: 7, Loss: 4.936075687408447
Batch: 8, Loss: 5.072280406951904
Batch: 9, Loss: 5.3823089599609375
Batch: 10, Loss: 5.192838668823242
Batch: 11, Loss: 5.616930961608887
Batch: 12, Loss: 5.232503890991211
Batch: 13, Loss: 5.353600025177002
Batch: 14, Loss: 5.296804428100586

Epoch 824 out of 2000Batch: 1, Loss: 5.728766441345215
Batch: 2, Loss: 6.256533622741699
Batch: 3, Loss: 5.877882957458496
Batch: 4, Loss: 6.0161590576171875
Batch: 5, Loss: 5.82265043258667
Batch: 6, Loss: 6.566513538360596
Batch: 7, Loss: 6.055494785308838
Batch: 8, Loss: 5.923999786376953
Batch: 9, Loss: 6.42159366607666
Batch: 10, Loss: 5.863874912261963
Batch: 11, Loss: 6.162423610687256
Batch: 12, Loss: 5.403303623199463
Batch: 13, Loss: 5.709282875061035
Batch: 14, Loss: 6.252141952514648

Epoch 825 out of 2000Batch: 1, Loss: 5.145747184753418
Batch: 2, Loss: 5.041447639465332
Batch: 3, Loss: 5.270305156707764
Batch: 4, Loss: 4.870377540588379
Batch: 5, Loss: 5.249955177307129
Batch: 6, Loss: 5.1580986976623535
Batch: 7, Loss: 5.1450347900390625
Batch: 8, Loss: 5.175538063049316
Batch: 9, Loss: 4.8588480949401855
Batch: 10, Loss: 4.764887809753418
Batch: 11, Loss: 5.365905284881592
Batch: 12, Loss: 4.735167503356934
Batch: 13, Loss: 5.190118789672852
Batch: 14, Loss: 4.920860290527344

Epoch 826 out of 2000Batch: 1, Loss: 5.216550350189209
Batch: 2, Loss: 5.05422830581665
Batch: 3, Loss: 5.47048282623291
Batch: 4, Loss: 5.285333633422852
Batch: 5, Loss: 5.116234302520752
Batch: 6, Loss: 5.200844764709473
Batch: 7, Loss: 5.163814544677734
Batch: 8, Loss: 5.043325424194336
Batch: 9, Loss: 5.028670310974121
Batch: 10, Loss: 5.44003438949585
Batch: 11, Loss: 5.480820178985596
Batch: 12, Loss: 5.599189281463623
Batch: 13, Loss: 5.194651126861572
Batch: 14, Loss: 4.9584059715271

Epoch 827 out of 2000Batch: 1, Loss: 5.941469669342041
Batch: 2, Loss: 5.420022487640381
Batch: 3, Loss: 5.595472812652588
Batch: 4, Loss: 5.810511589050293
Batch: 5, Loss: 6.1858601570129395
Batch: 6, Loss: 5.706295967102051
Batch: 7, Loss: 5.658569812774658
Batch: 8, Loss: 5.39893102645874
Batch: 9, Loss: 5.287487030029297
Batch: 10, Loss: 5.457228660583496
Batch: 11, Loss: 5.580715179443359
Batch: 12, Loss: 5.533392429351807
Batch: 13, Loss: 5.740026950836182
Batch: 14, Loss: 5.109501838684082

Epoch 828 out of 2000Batch: 1, Loss: 5.019042015075684
Batch: 2, Loss: 4.887842178344727
Batch: 3, Loss: 5.11261510848999
Batch: 4, Loss: 4.543129920959473
Batch: 5, Loss: 4.696084022521973
Batch: 6, Loss: 5.102195739746094
Batch: 7, Loss: 5.251185894012451
Batch: 8, Loss: 4.883402347564697
Batch: 9, Loss: 4.958754539489746
Batch: 10, Loss: 5.130211353302002
Batch: 11, Loss: 4.689282417297363
Batch: 12, Loss: 4.765012264251709
Batch: 13, Loss: 4.724417686462402
Batch: 14, Loss: 4.71473503112793

Epoch 829 out of 2000Batch: 1, Loss: 5.093151092529297
Batch: 2, Loss: 4.627928256988525
Batch: 3, Loss: 4.768062591552734
Batch: 4, Loss: 5.003374099731445
Batch: 5, Loss: 4.840965747833252
Batch: 6, Loss: 5.00606107711792
Batch: 7, Loss: 4.813654899597168
Batch: 8, Loss: 4.4290995597839355
Batch: 9, Loss: 4.641569137573242
Batch: 10, Loss: 5.082826137542725
Batch: 11, Loss: 5.0905842781066895
Batch: 12, Loss: 4.920074462890625
Batch: 13, Loss: 4.9184956550598145
Batch: 14, Loss: 4.825350761413574

Epoch 830 out of 2000Batch: 1, Loss: 5.674020767211914
Batch: 2, Loss: 5.46628999710083
Batch: 3, Loss: 5.287142753601074
Batch: 4, Loss: 5.299637794494629
Batch: 5, Loss: 5.314971446990967
Batch: 6, Loss: 5.52028226852417
Batch: 7, Loss: 5.540392875671387
Batch: 8, Loss: 4.948435306549072
Batch: 9, Loss: 5.348732948303223
Batch: 10, Loss: 4.6568922996521
Batch: 11, Loss: 5.721581935882568
Batch: 12, Loss: 5.643546104431152
Batch: 13, Loss: 5.270228862762451
Batch: 14, Loss: 4.977783679962158

Epoch 831 out of 2000Batch: 1, Loss: 4.440671920776367
Batch: 2, Loss: 4.120090007781982
Batch: 3, Loss: 3.842156171798706
Batch: 4, Loss: 3.908099889755249
Batch: 5, Loss: 3.704477548599243
Batch: 6, Loss: 3.5623347759246826
Batch: 7, Loss: 3.772596597671509
Batch: 8, Loss: 3.6671559810638428
Batch: 9, Loss: 3.8327138423919678
Batch: 10, Loss: 3.6483123302459717
Batch: 11, Loss: 3.4578969478607178
Batch: 12, Loss: 3.8257503509521484
Batch: 13, Loss: 3.2975592613220215
Batch: 14, Loss: 3.9380300045013428

Epoch 832 out of 2000Batch: 1, Loss: 4.715445518493652
Batch: 2, Loss: 4.555031776428223
Batch: 3, Loss: 4.251898765563965
Batch: 4, Loss: 4.608567237854004
Batch: 5, Loss: 4.096968650817871
Batch: 6, Loss: 4.179320335388184
Batch: 7, Loss: 4.432125091552734
Batch: 8, Loss: 4.183106422424316
Batch: 9, Loss: 4.01936674118042
Batch: 10, Loss: 4.0907301902771
Batch: 11, Loss: 4.546177387237549
Batch: 12, Loss: 4.472539901733398
Batch: 13, Loss: 3.873466968536377
Batch: 14, Loss: 4.385591506958008

Epoch 833 out of 2000Batch: 1, Loss: 5.849981784820557
Batch: 2, Loss: 6.338135242462158
Batch: 3, Loss: 5.540405750274658
Batch: 4, Loss: 6.596496105194092
Batch: 5, Loss: 5.882707595825195
Batch: 6, Loss: 6.238131523132324
Batch: 7, Loss: 6.217663764953613
Batch: 8, Loss: 6.236183166503906
Batch: 9, Loss: 6.252666473388672
Batch: 10, Loss: 5.861671447753906
Batch: 11, Loss: 5.974920272827148
Batch: 12, Loss: 5.613513469696045
Batch: 13, Loss: 5.75321626663208
Batch: 14, Loss: 5.851183891296387

Epoch 834 out of 2000Batch: 1, Loss: 5.829227447509766
Batch: 2, Loss: 6.020895957946777
Batch: 3, Loss: 5.923954486846924
Batch: 4, Loss: 6.344080448150635
Batch: 5, Loss: 5.651092529296875
Batch: 6, Loss: 5.825997352600098
Batch: 7, Loss: 5.849734783172607
Batch: 8, Loss: 5.682226657867432
Batch: 9, Loss: 5.599359035491943
Batch: 10, Loss: 6.0936408042907715
Batch: 11, Loss: 5.658697128295898
Batch: 12, Loss: 5.9092583656311035
Batch: 13, Loss: 5.801717281341553
Batch: 14, Loss: 6.04681921005249

Epoch 835 out of 2000Batch: 1, Loss: 5.806361675262451
Batch: 2, Loss: 5.812806606292725
Batch: 3, Loss: 5.839197635650635
Batch: 4, Loss: 5.971437931060791
Batch: 5, Loss: 5.693933963775635
Batch: 6, Loss: 5.896967887878418
Batch: 7, Loss: 5.917092323303223
Batch: 8, Loss: 5.7771382331848145
Batch: 9, Loss: 6.131536960601807
Batch: 10, Loss: 5.212950706481934
Batch: 11, Loss: 5.808520317077637
Batch: 12, Loss: 5.849839210510254
Batch: 13, Loss: 5.429119110107422
Batch: 14, Loss: 5.934940814971924

Epoch 836 out of 2000Batch: 1, Loss: 5.395224571228027
Batch: 2, Loss: 5.6207170486450195
Batch: 3, Loss: 5.358508110046387
Batch: 4, Loss: 5.118724346160889
Batch: 5, Loss: 5.119792938232422
Batch: 6, Loss: 5.510614395141602
Batch: 7, Loss: 5.331226825714111
Batch: 8, Loss: 5.559366226196289
Batch: 9, Loss: 5.493772983551025
Batch: 10, Loss: 5.105216026306152
Batch: 11, Loss: 5.316467761993408
Batch: 12, Loss: 4.9784321784973145
Batch: 13, Loss: 5.397635459899902
Batch: 14, Loss: 5.642073154449463

Epoch 837 out of 2000Batch: 1, Loss: 4.91078519821167
Batch: 2, Loss: 4.612215518951416
Batch: 3, Loss: 4.7098164558410645
Batch: 4, Loss: 4.685229301452637
Batch: 5, Loss: 4.840205192565918
Batch: 6, Loss: 4.834662437438965
Batch: 7, Loss: 4.535281181335449
Batch: 8, Loss: 4.606196403503418
Batch: 9, Loss: 4.55574893951416
Batch: 10, Loss: 4.769103527069092
Batch: 11, Loss: 4.766616344451904
Batch: 12, Loss: 4.785869598388672
Batch: 13, Loss: 4.433694839477539
Batch: 14, Loss: 4.871129989624023

Epoch 838 out of 2000Batch: 1, Loss: 5.852982521057129
Batch: 2, Loss: 5.635860919952393
Batch: 3, Loss: 5.46246862411499
Batch: 4, Loss: 5.474131107330322
Batch: 5, Loss: 5.343898773193359
Batch: 6, Loss: 5.587507724761963
Batch: 7, Loss: 5.114552021026611
Batch: 8, Loss: 5.406513690948486
Batch: 9, Loss: 4.969701766967773
Batch: 10, Loss: 5.610637187957764
Batch: 11, Loss: 5.411972999572754
Batch: 12, Loss: 5.012208938598633
Batch: 13, Loss: 5.594498634338379
Batch: 14, Loss: 5.565520763397217

Epoch 839 out of 2000Batch: 1, Loss: 6.259581089019775
Batch: 2, Loss: 6.000812530517578
Batch: 3, Loss: 6.150823593139648
Batch: 4, Loss: 6.070568084716797
Batch: 5, Loss: 6.285646438598633
Batch: 6, Loss: 5.8703813552856445
Batch: 7, Loss: 5.869523525238037
Batch: 8, Loss: 5.690794944763184
Batch: 9, Loss: 5.592352390289307
Batch: 10, Loss: 6.017879486083984
Batch: 11, Loss: 5.839539527893066
Batch: 12, Loss: 5.596181869506836
Batch: 13, Loss: 5.663346767425537
Batch: 14, Loss: 5.293017387390137

Epoch 840 out of 2000Batch: 1, Loss: 5.557207107543945
Batch: 2, Loss: 5.057186126708984
Batch: 3, Loss: 5.106950759887695
Batch: 4, Loss: 5.017116069793701
Batch: 5, Loss: 5.500055313110352
Batch: 6, Loss: 5.225934982299805
Batch: 7, Loss: 5.416670799255371
Batch: 8, Loss: 5.352479457855225
Batch: 9, Loss: 5.452493667602539
Batch: 10, Loss: 4.795632839202881
Batch: 11, Loss: 5.020885944366455
Batch: 12, Loss: 5.015722751617432
Batch: 13, Loss: 5.2248215675354
Batch: 14, Loss: 5.492868423461914

Epoch 841 out of 2000Batch: 1, Loss: 5.424093246459961
Batch: 2, Loss: 5.384705066680908
Batch: 3, Loss: 5.3954010009765625
Batch: 4, Loss: 5.885257720947266
Batch: 5, Loss: 5.584155559539795
Batch: 6, Loss: 5.0176239013671875
Batch: 7, Loss: 5.518764972686768
Batch: 8, Loss: 5.1761579513549805
Batch: 9, Loss: 5.240687847137451
Batch: 10, Loss: 5.264961242675781
Batch: 11, Loss: 5.014753818511963
Batch: 12, Loss: 5.3969950675964355
Batch: 13, Loss: 5.350965976715088
Batch: 14, Loss: 5.551575183868408

Epoch 842 out of 2000Batch: 1, Loss: 4.553650379180908
Batch: 2, Loss: 4.673405647277832
Batch: 3, Loss: 4.456299781799316
Batch: 4, Loss: 4.4344706535339355
Batch: 5, Loss: 4.541839122772217
Batch: 6, Loss: 4.417370796203613
Batch: 7, Loss: 4.40255880355835
Batch: 8, Loss: 4.3738861083984375
Batch: 9, Loss: 4.601770401000977
Batch: 10, Loss: 4.594110012054443
Batch: 11, Loss: 4.62809944152832
Batch: 12, Loss: 4.642034530639648
Batch: 13, Loss: 4.674599647521973
Batch: 14, Loss: 4.610961437225342

Epoch 843 out of 2000Batch: 1, Loss: 5.364786624908447
Batch: 2, Loss: 4.928914546966553
Batch: 3, Loss: 5.014585018157959
Batch: 4, Loss: 5.285140514373779
Batch: 5, Loss: 4.830209732055664
Batch: 6, Loss: 4.803951263427734
Batch: 7, Loss: 5.381744861602783
Batch: 8, Loss: 4.7307047843933105
Batch: 9, Loss: 4.744502067565918
Batch: 10, Loss: 4.523004055023193
Batch: 11, Loss: 4.822754859924316
Batch: 12, Loss: 4.829935550689697
Batch: 13, Loss: 4.599451065063477
Batch: 14, Loss: 5.174556732177734

Epoch 844 out of 2000Batch: 1, Loss: 5.484981060028076
Batch: 2, Loss: 5.714320182800293
Batch: 3, Loss: 5.559112548828125
Batch: 4, Loss: 5.094322204589844
Batch: 5, Loss: 5.728758811950684
Batch: 6, Loss: 5.158321857452393
Batch: 7, Loss: 5.865390300750732
Batch: 8, Loss: 5.589189529418945
Batch: 9, Loss: 5.740592002868652
Batch: 10, Loss: 5.580564498901367
Batch: 11, Loss: 5.4017486572265625
Batch: 12, Loss: 5.198975086212158
Batch: 13, Loss: 5.801255702972412
Batch: 14, Loss: 5.50002384185791

Epoch 845 out of 2000Batch: 1, Loss: 5.61948823928833
Batch: 2, Loss: 4.990024089813232
Batch: 3, Loss: 5.407632350921631
Batch: 4, Loss: 5.432094097137451
Batch: 5, Loss: 5.543925762176514
Batch: 6, Loss: 5.19662618637085
Batch: 7, Loss: 5.297433376312256
Batch: 8, Loss: 4.729467868804932
Batch: 9, Loss: 5.296591758728027
Batch: 10, Loss: 5.273144245147705
Batch: 11, Loss: 4.9456024169921875
Batch: 12, Loss: 5.236445903778076
Batch: 13, Loss: 5.286155700683594
Batch: 14, Loss: 5.158690452575684

Epoch 846 out of 2000Batch: 1, Loss: 4.1332550048828125
Batch: 2, Loss: 4.105735778808594
Batch: 3, Loss: 4.019404411315918
Batch: 4, Loss: 4.32088041305542
Batch: 5, Loss: 4.033753871917725
Batch: 6, Loss: 4.022232532501221
Batch: 7, Loss: 3.936586618423462
Batch: 8, Loss: 4.039478302001953
Batch: 9, Loss: 4.041407108306885
Batch: 10, Loss: 3.8883368968963623
Batch: 11, Loss: 3.891432762145996
Batch: 12, Loss: 3.8150827884674072
Batch: 13, Loss: 4.156968116760254
Batch: 14, Loss: 4.014543056488037

Epoch 847 out of 2000Batch: 1, Loss: 5.948204517364502
Batch: 2, Loss: 6.060061931610107
Batch: 3, Loss: 5.888106346130371
Batch: 4, Loss: 6.019311904907227
Batch: 5, Loss: 5.993504524230957
Batch: 6, Loss: 5.673116683959961
Batch: 7, Loss: 5.671999454498291
Batch: 8, Loss: 5.7989959716796875
Batch: 9, Loss: 5.7179718017578125
Batch: 10, Loss: 5.523623466491699
Batch: 11, Loss: 5.482706069946289
Batch: 12, Loss: 5.441242694854736
Batch: 13, Loss: 5.174187660217285
Batch: 14, Loss: 5.451460838317871

Epoch 848 out of 2000Batch: 1, Loss: 4.530246734619141
Batch: 2, Loss: 4.369524002075195
Batch: 3, Loss: 4.316442012786865
Batch: 4, Loss: 3.92010235786438
Batch: 5, Loss: 4.405982494354248
Batch: 6, Loss: 4.346988201141357
Batch: 7, Loss: 4.40167236328125
Batch: 8, Loss: 3.7413902282714844
Batch: 9, Loss: 4.111050605773926
Batch: 10, Loss: 4.081930637359619
Batch: 11, Loss: 4.059408187866211
Batch: 12, Loss: 3.760902166366577
Batch: 13, Loss: 4.118638515472412
Batch: 14, Loss: 3.8310647010803223

Epoch 849 out of 2000Batch: 1, Loss: 4.727323055267334
Batch: 2, Loss: 4.854033946990967
Batch: 3, Loss: 4.864399433135986
Batch: 4, Loss: 4.849897861480713
Batch: 5, Loss: 4.619874954223633
Batch: 6, Loss: 4.370214462280273
Batch: 7, Loss: 4.76275110244751
Batch: 8, Loss: 4.539377689361572
Batch: 9, Loss: 4.463678359985352
Batch: 10, Loss: 4.568288803100586
Batch: 11, Loss: 4.528733730316162
Batch: 12, Loss: 4.421417713165283
Batch: 13, Loss: 4.437826156616211
Batch: 14, Loss: 4.632826328277588

Epoch 850 out of 2000Batch: 1, Loss: 5.595809459686279
Batch: 2, Loss: 5.215632915496826
Batch: 3, Loss: 5.182013511657715
Batch: 4, Loss: 5.616544723510742
Batch: 5, Loss: 5.192185401916504
Batch: 6, Loss: 4.940201759338379
Batch: 7, Loss: 4.944058895111084
Batch: 8, Loss: 5.034146785736084
Batch: 9, Loss: 5.556085586547852
Batch: 10, Loss: 5.015376091003418
Batch: 11, Loss: 4.915894985198975
Batch: 12, Loss: 5.223521709442139
Batch: 13, Loss: 5.065081596374512
Batch: 14, Loss: 5.373205184936523

Epoch 851 out of 2000Batch: 1, Loss: 5.497529029846191
Batch: 2, Loss: 5.914028644561768
Batch: 3, Loss: 5.47080659866333
Batch: 4, Loss: 5.248420238494873
Batch: 5, Loss: 5.4628071784973145
Batch: 6, Loss: 5.715301036834717
Batch: 7, Loss: 5.509100914001465
Batch: 8, Loss: 4.849707126617432
Batch: 9, Loss: 5.515362739562988
Batch: 10, Loss: 5.598858833312988
Batch: 11, Loss: 5.073603630065918
Batch: 12, Loss: 5.244529724121094
Batch: 13, Loss: 5.224241733551025
Batch: 14, Loss: 5.151589393615723

Epoch 852 out of 2000Batch: 1, Loss: 5.127573013305664
Batch: 2, Loss: 5.089550495147705
Batch: 3, Loss: 4.421469688415527
Batch: 4, Loss: 4.971987247467041
Batch: 5, Loss: 4.96648645401001
Batch: 6, Loss: 4.8362650871276855
Batch: 7, Loss: 5.046576976776123
Batch: 8, Loss: 5.084781169891357
Batch: 9, Loss: 5.083074569702148
Batch: 10, Loss: 4.309554100036621
Batch: 11, Loss: 5.130528926849365
Batch: 12, Loss: 4.782482624053955
Batch: 13, Loss: 5.074538230895996
Batch: 14, Loss: 4.7694902420043945

Epoch 853 out of 2000Batch: 1, Loss: 6.015871524810791
Batch: 2, Loss: 5.7183661460876465
Batch: 3, Loss: 5.63519811630249
Batch: 4, Loss: 5.981934070587158
Batch: 5, Loss: 5.678879261016846
Batch: 6, Loss: 5.351136684417725
Batch: 7, Loss: 5.293081283569336
Batch: 8, Loss: 6.037332534790039
Batch: 9, Loss: 5.74008321762085
Batch: 10, Loss: 5.444855213165283
Batch: 11, Loss: 5.356117248535156
Batch: 12, Loss: 6.06610107421875
Batch: 13, Loss: 6.019537925720215
Batch: 14, Loss: 5.891942977905273

Epoch 854 out of 2000Batch: 1, Loss: 4.027461051940918
Batch: 2, Loss: 4.2458930015563965
Batch: 3, Loss: 4.148889541625977
Batch: 4, Loss: 3.999199390411377
Batch: 5, Loss: 4.139626979827881
Batch: 6, Loss: 4.175476551055908
Batch: 7, Loss: 3.8853816986083984
Batch: 8, Loss: 3.7470548152923584
Batch: 9, Loss: 3.4375269412994385
Batch: 10, Loss: 3.8075671195983887
Batch: 11, Loss: 3.8064181804656982
Batch: 12, Loss: 3.6511120796203613
Batch: 13, Loss: 3.5742762088775635
Batch: 14, Loss: 3.6873984336853027

Epoch 855 out of 2000Batch: 1, Loss: 4.909491539001465
Batch: 2, Loss: 5.118027210235596
Batch: 3, Loss: 5.170703411102295
Batch: 4, Loss: 4.995021820068359
Batch: 5, Loss: 5.202728748321533
Batch: 6, Loss: 5.22678279876709
Batch: 7, Loss: 4.91894006729126
Batch: 8, Loss: 5.37853479385376
Batch: 9, Loss: 5.007951259613037
Batch: 10, Loss: 5.0443830490112305
Batch: 11, Loss: 4.664332866668701
Batch: 12, Loss: 4.941705226898193
Batch: 13, Loss: 5.038628578186035
Batch: 14, Loss: 5.012934684753418

Epoch 856 out of 2000Batch: 1, Loss: 4.455763339996338
Batch: 2, Loss: 4.859243869781494
Batch: 3, Loss: 4.754083633422852
Batch: 4, Loss: 4.348812103271484
Batch: 5, Loss: 4.402058124542236
Batch: 6, Loss: 4.471022605895996
Batch: 7, Loss: 4.7051310539245605
Batch: 8, Loss: 4.336825370788574
Batch: 9, Loss: 4.550836086273193
Batch: 10, Loss: 4.341739177703857
Batch: 11, Loss: 4.824106216430664
Batch: 12, Loss: 4.438737869262695
Batch: 13, Loss: 4.3022966384887695
Batch: 14, Loss: 4.33159875869751

Epoch 857 out of 2000Batch: 1, Loss: 5.137211799621582
Batch: 2, Loss: 5.092009544372559
Batch: 3, Loss: 4.461129665374756
Batch: 4, Loss: 5.153345108032227
Batch: 5, Loss: 5.164652347564697
Batch: 6, Loss: 5.170213222503662
Batch: 7, Loss: 4.547243595123291
Batch: 8, Loss: 5.002660751342773
Batch: 9, Loss: 4.836653232574463
Batch: 10, Loss: 5.280881404876709
Batch: 11, Loss: 5.139928817749023
Batch: 12, Loss: 4.83438777923584
Batch: 13, Loss: 4.543423652648926
Batch: 14, Loss: 4.894881725311279

Epoch 858 out of 2000Batch: 1, Loss: 6.169646739959717
Batch: 2, Loss: 5.380119800567627
Batch: 3, Loss: 5.6443915367126465
Batch: 4, Loss: 5.52085542678833
Batch: 5, Loss: 5.420744895935059
Batch: 6, Loss: 5.719784736633301
Batch: 7, Loss: 5.5052056312561035
Batch: 8, Loss: 5.5313191413879395
Batch: 9, Loss: 5.706130027770996
Batch: 10, Loss: 5.737524032592773
Batch: 11, Loss: 5.350038528442383
Batch: 12, Loss: 5.482814788818359
Batch: 13, Loss: 5.85671329498291
Batch: 14, Loss: 5.679471969604492

Epoch 859 out of 2000Batch: 1, Loss: 5.235452175140381
Batch: 2, Loss: 5.321536064147949
Batch: 3, Loss: 5.524275779724121
Batch: 4, Loss: 4.905544757843018
Batch: 5, Loss: 4.926201820373535
Batch: 6, Loss: 5.063187122344971
Batch: 7, Loss: 5.205206871032715
Batch: 8, Loss: 5.682917594909668
Batch: 9, Loss: 5.866578578948975
Batch: 10, Loss: 5.456327438354492
Batch: 11, Loss: 5.6128106117248535
Batch: 12, Loss: 5.221836090087891
Batch: 13, Loss: 5.116532802581787
Batch: 14, Loss: 5.384228706359863

Epoch 860 out of 2000Batch: 1, Loss: 5.75240421295166
Batch: 2, Loss: 6.5173563957214355
Batch: 3, Loss: 5.475983619689941
Batch: 4, Loss: 5.458261966705322
Batch: 5, Loss: 5.987543106079102
Batch: 6, Loss: 6.190649509429932
Batch: 7, Loss: 6.209524154663086
Batch: 8, Loss: 5.7038984298706055
Batch: 9, Loss: 5.802352428436279
Batch: 10, Loss: 6.318381309509277
Batch: 11, Loss: 5.8988494873046875
Batch: 12, Loss: 6.114861011505127
Batch: 13, Loss: 5.913758277893066
Batch: 14, Loss: 5.870708465576172

Epoch 861 out of 2000Batch: 1, Loss: 5.498790740966797
Batch: 2, Loss: 5.708832263946533
Batch: 3, Loss: 5.787034511566162
Batch: 4, Loss: 5.851132392883301
Batch: 5, Loss: 5.35728120803833
Batch: 6, Loss: 5.368288516998291
Batch: 7, Loss: 5.772344589233398
Batch: 8, Loss: 5.467255592346191
Batch: 9, Loss: 5.4921488761901855
Batch: 10, Loss: 5.402710914611816
Batch: 11, Loss: 5.636862754821777
Batch: 12, Loss: 5.430166721343994
Batch: 13, Loss: 4.923463344573975
Batch: 14, Loss: 5.595412731170654

Epoch 862 out of 2000Batch: 1, Loss: 4.988852500915527
Batch: 2, Loss: 4.905239582061768
Batch: 3, Loss: 5.1870527267456055
Batch: 4, Loss: 4.871118068695068
Batch: 5, Loss: 5.315556049346924
Batch: 6, Loss: 5.042696475982666
Batch: 7, Loss: 5.001005172729492
Batch: 8, Loss: 5.156609058380127
Batch: 9, Loss: 5.371676445007324
Batch: 10, Loss: 5.059016227722168
Batch: 11, Loss: 4.995793342590332
Batch: 12, Loss: 5.148590564727783
Batch: 13, Loss: 5.0750956535339355
Batch: 14, Loss: 5.299322128295898

Epoch 863 out of 2000Batch: 1, Loss: 5.454699993133545
Batch: 2, Loss: 5.253675937652588
Batch: 3, Loss: 5.152587413787842
Batch: 4, Loss: 5.4608588218688965
Batch: 5, Loss: 5.30765962600708
Batch: 6, Loss: 5.574404716491699
Batch: 7, Loss: 5.484220504760742
Batch: 8, Loss: 5.318856716156006
Batch: 9, Loss: 5.448780059814453
Batch: 10, Loss: 5.313838958740234
Batch: 11, Loss: 5.61407470703125
Batch: 12, Loss: 5.357690334320068
Batch: 13, Loss: 5.348011493682861
Batch: 14, Loss: 5.265410900115967

Epoch 864 out of 2000Batch: 1, Loss: 4.951773643493652
Batch: 2, Loss: 5.13950252532959
Batch: 3, Loss: 4.782862186431885
Batch: 4, Loss: 5.370044708251953
Batch: 5, Loss: 5.059135437011719
Batch: 6, Loss: 4.8967204093933105
Batch: 7, Loss: 4.863121509552002
Batch: 8, Loss: 4.865190505981445
Batch: 9, Loss: 4.735852241516113
Batch: 10, Loss: 4.797980785369873
Batch: 11, Loss: 5.004756927490234
Batch: 12, Loss: 5.109987735748291
Batch: 13, Loss: 5.088369369506836
Batch: 14, Loss: 5.022797107696533

Epoch 865 out of 2000Batch: 1, Loss: 4.568087100982666
Batch: 2, Loss: 4.544057369232178
Batch: 3, Loss: 4.569650173187256
Batch: 4, Loss: 4.487862586975098
Batch: 5, Loss: 4.8057074546813965
Batch: 6, Loss: 4.023155212402344
Batch: 7, Loss: 4.493528366088867
Batch: 8, Loss: 4.221430778503418
Batch: 9, Loss: 4.5869245529174805
Batch: 10, Loss: 4.301048278808594
Batch: 11, Loss: 4.159640312194824
Batch: 12, Loss: 4.436120510101318
Batch: 13, Loss: 4.184749126434326
Batch: 14, Loss: 4.896396636962891

Epoch 866 out of 2000Batch: 1, Loss: 5.191155433654785
Batch: 2, Loss: 5.468003749847412
Batch: 3, Loss: 5.212558269500732
Batch: 4, Loss: 5.144638538360596
Batch: 5, Loss: 4.731590270996094
Batch: 6, Loss: 5.143866062164307
Batch: 7, Loss: 5.0565972328186035
Batch: 8, Loss: 5.467016220092773
Batch: 9, Loss: 5.223630428314209
Batch: 10, Loss: 5.1728515625
Batch: 11, Loss: 5.02982759475708
Batch: 12, Loss: 5.332109451293945
Batch: 13, Loss: 5.291759014129639
Batch: 14, Loss: 5.008279323577881

Epoch 867 out of 2000Batch: 1, Loss: 4.735525131225586
Batch: 2, Loss: 4.646548748016357
Batch: 3, Loss: 4.91713809967041
Batch: 4, Loss: 4.8961968421936035
Batch: 5, Loss: 5.041476249694824
Batch: 6, Loss: 5.188686847686768
Batch: 7, Loss: 4.827714920043945
Batch: 8, Loss: 4.689620494842529
Batch: 9, Loss: 4.32670259475708
Batch: 10, Loss: 4.554097652435303
Batch: 11, Loss: 4.699533939361572
Batch: 12, Loss: 5.047556400299072
Batch: 13, Loss: 4.438922882080078
Batch: 14, Loss: 4.742179870605469

Epoch 868 out of 2000Batch: 1, Loss: 6.483635902404785
Batch: 2, Loss: 5.611976623535156
Batch: 3, Loss: 6.283366680145264
Batch: 4, Loss: 6.326479911804199
Batch: 5, Loss: 5.796200752258301
Batch: 6, Loss: 5.783323764801025
Batch: 7, Loss: 5.867752552032471
Batch: 8, Loss: 5.71177339553833
Batch: 9, Loss: 5.99597692489624
Batch: 10, Loss: 5.526976585388184
Batch: 11, Loss: 5.628685474395752
Batch: 12, Loss: 5.946617603302002
Batch: 13, Loss: 5.715640544891357
Batch: 14, Loss: 5.279793739318848

Epoch 869 out of 2000Batch: 1, Loss: 4.737316608428955
Batch: 2, Loss: 4.678193092346191
Batch: 3, Loss: 5.141441345214844
Batch: 4, Loss: 5.20130729675293
Batch: 5, Loss: 4.959867477416992
Batch: 6, Loss: 4.733604431152344
Batch: 7, Loss: 4.968133926391602
Batch: 8, Loss: 4.823275566101074
Batch: 9, Loss: 5.048455715179443
Batch: 10, Loss: 4.888949871063232
Batch: 11, Loss: 4.628726005554199
Batch: 12, Loss: 4.584689140319824
Batch: 13, Loss: 4.76335334777832
Batch: 14, Loss: 5.013368606567383

Epoch 870 out of 2000Batch: 1, Loss: 5.305190563201904
Batch: 2, Loss: 5.316309928894043
Batch: 3, Loss: 5.8540449142456055
Batch: 4, Loss: 5.674132347106934
Batch: 5, Loss: 5.301427364349365
Batch: 6, Loss: 5.643171310424805
Batch: 7, Loss: 5.699018955230713
Batch: 8, Loss: 5.862321376800537
Batch: 9, Loss: 5.904262065887451
Batch: 10, Loss: 5.125248908996582
Batch: 11, Loss: 5.39730167388916
Batch: 12, Loss: 5.768715858459473
Batch: 13, Loss: 5.587420463562012
Batch: 14, Loss: 5.201952934265137

Epoch 871 out of 2000Batch: 1, Loss: 5.294933319091797
Batch: 2, Loss: 5.3569841384887695
Batch: 3, Loss: 4.964306831359863
Batch: 4, Loss: 5.083425998687744
Batch: 5, Loss: 5.028326988220215
Batch: 6, Loss: 5.182825088500977
Batch: 7, Loss: 5.3750715255737305
Batch: 8, Loss: 4.967921733856201
Batch: 9, Loss: 5.150423049926758
Batch: 10, Loss: 4.961397647857666
Batch: 11, Loss: 5.013771057128906
Batch: 12, Loss: 5.318535804748535
Batch: 13, Loss: 4.9677348136901855
Batch: 14, Loss: 5.070786952972412

Epoch 872 out of 2000Batch: 1, Loss: 5.4534912109375
Batch: 2, Loss: 5.62867546081543
Batch: 3, Loss: 5.641219139099121
Batch: 4, Loss: 5.820144176483154
Batch: 5, Loss: 5.687737464904785
Batch: 6, Loss: 5.43623685836792
Batch: 7, Loss: 5.506170749664307
Batch: 8, Loss: 5.111004829406738
Batch: 9, Loss: 5.862366676330566
Batch: 10, Loss: 5.760913372039795
Batch: 11, Loss: 5.3201904296875
Batch: 12, Loss: 5.446611404418945
Batch: 13, Loss: 5.781793594360352
Batch: 14, Loss: 5.530543804168701

Epoch 873 out of 2000Batch: 1, Loss: 5.4193854331970215
Batch: 2, Loss: 5.58223295211792
Batch: 3, Loss: 6.086033821105957
Batch: 4, Loss: 5.492849826812744
Batch: 5, Loss: 5.796680450439453
Batch: 6, Loss: 5.722342014312744
Batch: 7, Loss: 5.450819969177246
Batch: 8, Loss: 5.701720714569092
Batch: 9, Loss: 5.638249397277832
Batch: 10, Loss: 5.413902759552002
Batch: 11, Loss: 6.030573844909668
Batch: 12, Loss: 5.603451728820801
Batch: 13, Loss: 6.080140590667725
Batch: 14, Loss: 5.571719646453857

Epoch 874 out of 2000Batch: 1, Loss: 4.885158538818359
Batch: 2, Loss: 4.765980243682861
Batch: 3, Loss: 5.069572925567627
Batch: 4, Loss: 4.538863658905029
Batch: 5, Loss: 5.165218830108643
Batch: 6, Loss: 5.1848602294921875
Batch: 7, Loss: 4.572625160217285
Batch: 8, Loss: 4.951716899871826
Batch: 9, Loss: 5.232831954956055
Batch: 10, Loss: 4.448147773742676
Batch: 11, Loss: 4.853646755218506
Batch: 12, Loss: 4.823272228240967
Batch: 13, Loss: 4.808754920959473
Batch: 14, Loss: 4.034670829772949

Epoch 875 out of 2000Batch: 1, Loss: 5.993643760681152
Batch: 2, Loss: 6.054140090942383
Batch: 3, Loss: 6.362259864807129
Batch: 4, Loss: 5.932875633239746
Batch: 5, Loss: 5.920859336853027
Batch: 6, Loss: 5.275579929351807
Batch: 7, Loss: 5.6220269203186035
Batch: 8, Loss: 5.673915386199951
Batch: 9, Loss: 5.828894138336182
Batch: 10, Loss: 5.663345813751221
Batch: 11, Loss: 5.4832963943481445
Batch: 12, Loss: 5.620119094848633
Batch: 13, Loss: 5.286781311035156
Batch: 14, Loss: 5.927306175231934

Epoch 876 out of 2000Batch: 1, Loss: 5.194450855255127
Batch: 2, Loss: 5.729065895080566
Batch: 3, Loss: 5.942972183227539
Batch: 4, Loss: 5.764198303222656
Batch: 5, Loss: 5.2926154136657715
Batch: 6, Loss: 6.029129981994629
Batch: 7, Loss: 5.348198890686035
Batch: 8, Loss: 5.580416679382324
Batch: 9, Loss: 5.752750873565674
Batch: 10, Loss: 5.109898090362549
Batch: 11, Loss: 5.3910441398620605
Batch: 12, Loss: 5.553874492645264
Batch: 13, Loss: 5.467984676361084
Batch: 14, Loss: 5.838742733001709

Epoch 877 out of 2000Batch: 1, Loss: 6.151721477508545
Batch: 2, Loss: 5.364797115325928
Batch: 3, Loss: 5.82280158996582
Batch: 4, Loss: 5.301685333251953
Batch: 5, Loss: 5.242587089538574
Batch: 6, Loss: 5.936935901641846
Batch: 7, Loss: 5.627160549163818
Batch: 8, Loss: 5.676253318786621
Batch: 9, Loss: 5.530917644500732
Batch: 10, Loss: 5.519827842712402
Batch: 11, Loss: 5.796786308288574
Batch: 12, Loss: 5.267779350280762
Batch: 13, Loss: 5.442501068115234
Batch: 14, Loss: 5.086759567260742

Epoch 878 out of 2000Batch: 1, Loss: 5.774825096130371
Batch: 2, Loss: 5.787928104400635
Batch: 3, Loss: 5.929014682769775
Batch: 4, Loss: 6.206131458282471
Batch: 5, Loss: 5.49353551864624
Batch: 6, Loss: 5.732996940612793
Batch: 7, Loss: 5.977324485778809
Batch: 8, Loss: 6.126864910125732
Batch: 9, Loss: 5.741311550140381
Batch: 10, Loss: 5.7193379402160645
Batch: 11, Loss: 5.925695896148682
Batch: 12, Loss: 5.813928127288818
Batch: 13, Loss: 6.1007280349731445
Batch: 14, Loss: 5.374835014343262

Epoch 879 out of 2000Batch: 1, Loss: 5.556809425354004
Batch: 2, Loss: 4.908011436462402
Batch: 3, Loss: 5.251145839691162
Batch: 4, Loss: 5.161442756652832
Batch: 5, Loss: 5.1579670906066895
Batch: 6, Loss: 5.077651500701904
Batch: 7, Loss: 4.760949611663818
Batch: 8, Loss: 4.913818359375
Batch: 9, Loss: 5.091050148010254
Batch: 10, Loss: 4.927877902984619
Batch: 11, Loss: 4.6505446434021
Batch: 12, Loss: 5.106715202331543
Batch: 13, Loss: 5.166349411010742
Batch: 14, Loss: 4.608648777008057

Epoch 880 out of 2000Batch: 1, Loss: 5.2202630043029785
Batch: 2, Loss: 5.12675666809082
Batch: 3, Loss: 5.29841947555542
Batch: 4, Loss: 5.277888298034668
Batch: 5, Loss: 5.475677967071533
Batch: 6, Loss: 5.203534126281738
Batch: 7, Loss: 5.166539192199707
Batch: 8, Loss: 5.325616836547852
Batch: 9, Loss: 5.437142372131348
Batch: 10, Loss: 4.799167156219482
Batch: 11, Loss: 5.271491050720215
Batch: 12, Loss: 5.397915840148926
Batch: 13, Loss: 4.617205619812012
Batch: 14, Loss: 5.117034435272217

Epoch 881 out of 2000Batch: 1, Loss: 6.284091472625732
Batch: 2, Loss: 5.4073262214660645
Batch: 3, Loss: 5.583394527435303
Batch: 4, Loss: 5.811926364898682
Batch: 5, Loss: 5.72752046585083
Batch: 6, Loss: 5.7257280349731445
Batch: 7, Loss: 5.827273845672607
Batch: 8, Loss: 5.651103973388672
Batch: 9, Loss: 5.70117712020874
Batch: 10, Loss: 5.82657527923584
Batch: 11, Loss: 5.711582183837891
Batch: 12, Loss: 5.5596604347229
Batch: 13, Loss: 5.8958659172058105
Batch: 14, Loss: 5.721915245056152

Epoch 882 out of 2000Batch: 1, Loss: 6.426448345184326
Batch: 2, Loss: 6.290039539337158
Batch: 3, Loss: 5.837198257446289
Batch: 4, Loss: 6.214439868927002
Batch: 5, Loss: 5.554272651672363
Batch: 6, Loss: 5.997920036315918
Batch: 7, Loss: 5.803920745849609
Batch: 8, Loss: 5.894216060638428
Batch: 9, Loss: 5.941559791564941
Batch: 10, Loss: 6.03448486328125
Batch: 11, Loss: 6.033904552459717
Batch: 12, Loss: 6.265169620513916
Batch: 13, Loss: 6.0116753578186035
Batch: 14, Loss: 5.908212661743164

Epoch 883 out of 2000Batch: 1, Loss: 5.7939133644104
Batch: 2, Loss: 5.623957633972168
Batch: 3, Loss: 5.244742393493652
Batch: 4, Loss: 5.601741790771484
Batch: 5, Loss: 5.677504539489746
Batch: 6, Loss: 6.012088775634766
Batch: 7, Loss: 5.642152309417725
Batch: 8, Loss: 5.491491794586182
Batch: 9, Loss: 5.756271839141846
Batch: 10, Loss: 5.874237060546875
Batch: 11, Loss: 5.242465496063232
Batch: 12, Loss: 5.533827304840088
Batch: 13, Loss: 5.669064521789551
Batch: 14, Loss: 5.645410060882568

Epoch 884 out of 2000Batch: 1, Loss: 5.323833465576172
Batch: 2, Loss: 5.301755905151367
Batch: 3, Loss: 5.565037727355957
Batch: 4, Loss: 4.7592854499816895
Batch: 5, Loss: 5.39841365814209
Batch: 6, Loss: 5.242514133453369
Batch: 7, Loss: 5.307575225830078
Batch: 8, Loss: 5.09798526763916
Batch: 9, Loss: 5.040929317474365
Batch: 10, Loss: 5.137507915496826
Batch: 11, Loss: 4.990431785583496
Batch: 12, Loss: 5.193414688110352
Batch: 13, Loss: 5.011303901672363
Batch: 14, Loss: 4.963085651397705

Epoch 885 out of 2000Batch: 1, Loss: 5.223049640655518
Batch: 2, Loss: 5.995523929595947
Batch: 3, Loss: 5.513957977294922
Batch: 4, Loss: 5.196718692779541
Batch: 5, Loss: 5.321183681488037
Batch: 6, Loss: 5.4771952629089355
Batch: 7, Loss: 5.4961771965026855
Batch: 8, Loss: 5.430426120758057
Batch: 9, Loss: 5.332473278045654
Batch: 10, Loss: 5.812094688415527
Batch: 11, Loss: 5.425357341766357
Batch: 12, Loss: 5.380756855010986
Batch: 13, Loss: 5.309372425079346
Batch: 14, Loss: 5.53365421295166

Epoch 886 out of 2000Batch: 1, Loss: 5.423810005187988
Batch: 2, Loss: 5.9957146644592285
Batch: 3, Loss: 5.77876615524292
Batch: 4, Loss: 5.302425861358643
Batch: 5, Loss: 5.26220178604126
Batch: 6, Loss: 5.455384731292725
Batch: 7, Loss: 5.712589263916016
Batch: 8, Loss: 5.61571741104126
Batch: 9, Loss: 5.493687629699707
Batch: 10, Loss: 5.663382053375244
Batch: 11, Loss: 5.397702217102051
Batch: 12, Loss: 5.327111721038818
Batch: 13, Loss: 5.330517768859863
Batch: 14, Loss: 5.663582801818848

Epoch 887 out of 2000Batch: 1, Loss: 4.362712383270264
Batch: 2, Loss: 4.957088947296143
Batch: 3, Loss: 4.1291303634643555
Batch: 4, Loss: 4.250086307525635
Batch: 5, Loss: 4.5936479568481445
Batch: 6, Loss: 4.881875038146973
Batch: 7, Loss: 4.208134651184082
Batch: 8, Loss: 4.084988117218018
Batch: 9, Loss: 4.42435884475708
Batch: 10, Loss: 4.221017360687256
Batch: 11, Loss: 4.4414591789245605
Batch: 12, Loss: 4.13271951675415
Batch: 13, Loss: 4.33769416809082
Batch: 14, Loss: 4.2255072593688965

Epoch 888 out of 2000Batch: 1, Loss: 5.024724960327148
Batch: 2, Loss: 5.19306755065918
Batch: 3, Loss: 5.261744022369385
Batch: 4, Loss: 4.50166130065918
Batch: 5, Loss: 5.15722131729126
Batch: 6, Loss: 5.041225433349609
Batch: 7, Loss: 4.710328578948975
Batch: 8, Loss: 4.6688642501831055
Batch: 9, Loss: 5.090944290161133
Batch: 10, Loss: 4.877965450286865
Batch: 11, Loss: 4.9763078689575195
Batch: 12, Loss: 4.877853870391846
Batch: 13, Loss: 4.8852057456970215
Batch: 14, Loss: 4.528201103210449

Epoch 889 out of 2000Batch: 1, Loss: 5.013465881347656
Batch: 2, Loss: 5.3962883949279785
Batch: 3, Loss: 5.013430118560791
Batch: 4, Loss: 4.660452842712402
Batch: 5, Loss: 5.259940147399902
Batch: 6, Loss: 5.109629154205322
Batch: 7, Loss: 4.90480375289917
Batch: 8, Loss: 5.081508636474609
Batch: 9, Loss: 5.236514568328857
Batch: 10, Loss: 4.630847454071045
Batch: 11, Loss: 5.0784101486206055
Batch: 12, Loss: 4.65159273147583
Batch: 13, Loss: 4.9790873527526855
Batch: 14, Loss: 4.82453727722168

Epoch 890 out of 2000Batch: 1, Loss: 5.307871341705322
Batch: 2, Loss: 5.223830223083496
Batch: 3, Loss: 5.2739081382751465
Batch: 4, Loss: 5.372554779052734
Batch: 5, Loss: 5.661473751068115
Batch: 6, Loss: 5.344804763793945
Batch: 7, Loss: 5.1363525390625
Batch: 8, Loss: 5.50583553314209
Batch: 9, Loss: 5.260148525238037
Batch: 10, Loss: 5.413086414337158
Batch: 11, Loss: 5.3524041175842285
Batch: 12, Loss: 5.556662082672119
Batch: 13, Loss: 5.227483749389648
Batch: 14, Loss: 5.3826069831848145

Epoch 891 out of 2000Batch: 1, Loss: 6.042868137359619
Batch: 2, Loss: 5.2718682289123535
Batch: 3, Loss: 5.662889003753662
Batch: 4, Loss: 5.555258274078369
Batch: 5, Loss: 5.728460788726807
Batch: 6, Loss: 5.793592929840088
Batch: 7, Loss: 5.886068820953369
Batch: 8, Loss: 5.860439300537109
Batch: 9, Loss: 5.507026672363281
Batch: 10, Loss: 5.932464122772217
Batch: 11, Loss: 5.970019340515137
Batch: 12, Loss: 5.50147008895874
Batch: 13, Loss: 5.478776931762695
Batch: 14, Loss: 6.226191520690918

Epoch 892 out of 2000Batch: 1, Loss: 4.381320953369141
Batch: 2, Loss: 4.875979423522949
Batch: 3, Loss: 4.651172161102295
Batch: 4, Loss: 4.781368732452393
Batch: 5, Loss: 4.664522171020508
Batch: 6, Loss: 4.71497917175293
Batch: 7, Loss: 4.571277618408203
Batch: 8, Loss: 4.449515342712402
Batch: 9, Loss: 4.291229724884033
Batch: 10, Loss: 4.1290178298950195
Batch: 11, Loss: 4.398587703704834
Batch: 12, Loss: 4.206333160400391
Batch: 13, Loss: 4.476010322570801
Batch: 14, Loss: 4.199639320373535

Epoch 893 out of 2000Batch: 1, Loss: 5.228128433227539
Batch: 2, Loss: 5.5395989418029785
Batch: 3, Loss: 5.309412479400635
Batch: 4, Loss: 5.352085113525391
Batch: 5, Loss: 5.346960067749023
Batch: 6, Loss: 5.2671895027160645
Batch: 7, Loss: 5.318930625915527
Batch: 8, Loss: 4.859583377838135
Batch: 9, Loss: 5.313425064086914
Batch: 10, Loss: 5.034440517425537
Batch: 11, Loss: 5.449655055999756
Batch: 12, Loss: 5.392363548278809
Batch: 13, Loss: 5.241809844970703
Batch: 14, Loss: 5.498894214630127

Epoch 894 out of 2000Batch: 1, Loss: 6.0259318351745605
Batch: 2, Loss: 5.769937992095947
Batch: 3, Loss: 5.810711860656738
Batch: 4, Loss: 5.827320575714111
Batch: 5, Loss: 5.693042755126953
Batch: 6, Loss: 6.623669147491455
Batch: 7, Loss: 5.994429588317871
Batch: 8, Loss: 5.475238800048828
Batch: 9, Loss: 5.148843288421631
Batch: 10, Loss: 6.083278179168701
Batch: 11, Loss: 5.923018455505371
Batch: 12, Loss: 5.994863510131836
Batch: 13, Loss: 5.461450099945068
Batch: 14, Loss: 6.434219837188721

Epoch 895 out of 2000Batch: 1, Loss: 5.389627456665039
Batch: 2, Loss: 5.238096714019775
Batch: 3, Loss: 5.330584526062012
Batch: 4, Loss: 5.068551540374756
Batch: 5, Loss: 5.4843974113464355
Batch: 6, Loss: 5.208507061004639
Batch: 7, Loss: 5.196033000946045
Batch: 8, Loss: 5.357245922088623
Batch: 9, Loss: 5.119811534881592
Batch: 10, Loss: 5.56535530090332
Batch: 11, Loss: 5.530411243438721
Batch: 12, Loss: 5.0904927253723145
Batch: 13, Loss: 5.435968399047852
Batch: 14, Loss: 5.0781049728393555

Epoch 896 out of 2000Batch: 1, Loss: 5.435049057006836
Batch: 2, Loss: 4.908180236816406
Batch: 3, Loss: 5.267880916595459
Batch: 4, Loss: 5.051599502563477
Batch: 5, Loss: 5.304947853088379
Batch: 6, Loss: 4.834162712097168
Batch: 7, Loss: 4.881443023681641
Batch: 8, Loss: 4.745966911315918
Batch: 9, Loss: 5.379235744476318
Batch: 10, Loss: 5.1197829246521
Batch: 11, Loss: 4.996255397796631
Batch: 12, Loss: 4.453726768493652
Batch: 13, Loss: 4.9447340965271
Batch: 14, Loss: 4.857851505279541

Epoch 897 out of 2000Batch: 1, Loss: 5.414432048797607
Batch: 2, Loss: 5.483468055725098
Batch: 3, Loss: 5.462070465087891
Batch: 4, Loss: 5.332248687744141
Batch: 5, Loss: 5.086096286773682
Batch: 6, Loss: 5.588696002960205
Batch: 7, Loss: 5.508004665374756
Batch: 8, Loss: 5.726062297821045
Batch: 9, Loss: 5.954529285430908
Batch: 10, Loss: 5.512671947479248
Batch: 11, Loss: 5.473980903625488
Batch: 12, Loss: 5.692226409912109
Batch: 13, Loss: 5.706318378448486
Batch: 14, Loss: 5.940566539764404

Epoch 898 out of 2000Batch: 1, Loss: 4.153265476226807
Batch: 2, Loss: 4.493673801422119
Batch: 3, Loss: 4.481655120849609
Batch: 4, Loss: 4.28535270690918
Batch: 5, Loss: 4.63942813873291
Batch: 6, Loss: 4.528541088104248
Batch: 7, Loss: 4.278340816497803
Batch: 8, Loss: 4.636444091796875
Batch: 9, Loss: 4.407843112945557
Batch: 10, Loss: 4.427544116973877
Batch: 11, Loss: 4.3514604568481445
Batch: 12, Loss: 4.196868419647217
Batch: 13, Loss: 4.397717475891113
Batch: 14, Loss: 3.9710888862609863

Epoch 899 out of 2000Batch: 1, Loss: 4.887009620666504
Batch: 2, Loss: 5.085826396942139
Batch: 3, Loss: 4.775722503662109
Batch: 4, Loss: 5.072736740112305
Batch: 5, Loss: 5.089666843414307
Batch: 6, Loss: 5.079124450683594
Batch: 7, Loss: 4.5871429443359375
Batch: 8, Loss: 5.0089240074157715
Batch: 9, Loss: 4.616586685180664
Batch: 10, Loss: 4.219359874725342
Batch: 11, Loss: 4.947740077972412
Batch: 12, Loss: 4.361822128295898
Batch: 13, Loss: 4.7183356285095215
Batch: 14, Loss: 4.992637634277344

Epoch 900 out of 2000Batch: 1, Loss: 5.76983118057251
Batch: 2, Loss: 5.827541351318359
Batch: 3, Loss: 5.687521457672119
Batch: 4, Loss: 4.842729568481445
Batch: 5, Loss: 5.481100559234619
Batch: 6, Loss: 5.885026454925537
Batch: 7, Loss: 6.114575386047363
Batch: 8, Loss: 5.217754364013672
Batch: 9, Loss: 5.537360191345215
Batch: 10, Loss: 5.867720127105713
Batch: 11, Loss: 5.283062934875488
Batch: 12, Loss: 5.705555438995361
Batch: 13, Loss: 5.332150936126709
Batch: 14, Loss: 5.842101573944092

Epoch 901 out of 2000Batch: 1, Loss: 6.280254364013672
Batch: 2, Loss: 5.8873443603515625
Batch: 3, Loss: 5.994115352630615
Batch: 4, Loss: 6.112056732177734
Batch: 5, Loss: 6.404048442840576
Batch: 6, Loss: 6.4098310470581055
Batch: 7, Loss: 6.019381046295166
Batch: 8, Loss: 5.854954242706299
Batch: 9, Loss: 6.088193416595459
Batch: 10, Loss: 6.080567359924316
Batch: 11, Loss: 5.904272079467773
Batch: 12, Loss: 5.806432247161865
Batch: 13, Loss: 6.22411584854126
Batch: 14, Loss: 6.382957935333252

Epoch 902 out of 2000Batch: 1, Loss: 4.635964393615723
Batch: 2, Loss: 4.792679309844971
Batch: 3, Loss: 4.585073471069336
Batch: 4, Loss: 4.918760776519775
Batch: 5, Loss: 4.872983932495117
Batch: 6, Loss: 4.616142749786377
Batch: 7, Loss: 5.007540225982666
Batch: 8, Loss: 4.378576755523682
Batch: 9, Loss: 4.4220757484436035
Batch: 10, Loss: 4.241453170776367
Batch: 11, Loss: 4.2996439933776855
Batch: 12, Loss: 4.3054375648498535
Batch: 13, Loss: 4.0538129806518555
Batch: 14, Loss: 4.505482196807861

Epoch 903 out of 2000Batch: 1, Loss: 4.629093647003174
Batch: 2, Loss: 4.547407150268555
Batch: 3, Loss: 4.988426685333252
Batch: 4, Loss: 5.1997456550598145
Batch: 5, Loss: 4.929863929748535
Batch: 6, Loss: 4.914358615875244
Batch: 7, Loss: 5.151974201202393
Batch: 8, Loss: 4.89108943939209
Batch: 9, Loss: 4.824547290802002
Batch: 10, Loss: 4.81382417678833
Batch: 11, Loss: 4.924586772918701
Batch: 12, Loss: 5.022878646850586
Batch: 13, Loss: 4.865527153015137
Batch: 14, Loss: 4.863988876342773

Epoch 904 out of 2000Batch: 1, Loss: 4.878052234649658
Batch: 2, Loss: 5.134653091430664
Batch: 3, Loss: 4.8174614906311035
Batch: 4, Loss: 4.936939239501953
Batch: 5, Loss: 4.90287446975708
Batch: 6, Loss: 4.62786340713501
Batch: 7, Loss: 5.142219543457031
Batch: 8, Loss: 5.387895584106445
Batch: 9, Loss: 4.509807586669922
Batch: 10, Loss: 4.696645259857178
Batch: 11, Loss: 5.171911716461182
Batch: 12, Loss: 4.851916790008545
Batch: 13, Loss: 5.0058135986328125
Batch: 14, Loss: 4.1862473487854

Epoch 905 out of 2000Batch: 1, Loss: 5.033315181732178
Batch: 2, Loss: 5.028865337371826
Batch: 3, Loss: 4.904915809631348
Batch: 4, Loss: 5.070929527282715
Batch: 5, Loss: 5.122848987579346
Batch: 6, Loss: 5.027374744415283
Batch: 7, Loss: 5.206018447875977
Batch: 8, Loss: 4.7003703117370605
Batch: 9, Loss: 5.033416271209717
Batch: 10, Loss: 4.859032154083252
Batch: 11, Loss: 5.030432224273682
Batch: 12, Loss: 4.819056034088135
Batch: 13, Loss: 4.826611518859863
Batch: 14, Loss: 4.76514196395874

Epoch 906 out of 2000Batch: 1, Loss: 5.70883846282959
Batch: 2, Loss: 5.242055416107178
Batch: 3, Loss: 5.6087470054626465
Batch: 4, Loss: 5.608030319213867
Batch: 5, Loss: 5.727248191833496
Batch: 6, Loss: 5.420697212219238
Batch: 7, Loss: 5.4641313552856445
Batch: 8, Loss: 5.8759589195251465
Batch: 9, Loss: 5.716418743133545
Batch: 10, Loss: 5.277522087097168
Batch: 11, Loss: 5.501370429992676
Batch: 12, Loss: 5.742293357849121
Batch: 13, Loss: 5.353977203369141
Batch: 14, Loss: 5.409612655639648

Epoch 907 out of 2000Batch: 1, Loss: 5.561636447906494
Batch: 2, Loss: 5.5152106285095215
Batch: 3, Loss: 5.39223051071167
Batch: 4, Loss: 5.635692596435547
Batch: 5, Loss: 5.719799041748047
Batch: 6, Loss: 5.186427593231201
Batch: 7, Loss: 5.2780961990356445
Batch: 8, Loss: 5.07470703125
Batch: 9, Loss: 5.438537120819092
Batch: 10, Loss: 4.670702934265137
Batch: 11, Loss: 5.607210159301758
Batch: 12, Loss: 5.63733434677124
Batch: 13, Loss: 5.7463154792785645
Batch: 14, Loss: 5.242837905883789

Epoch 908 out of 2000Batch: 1, Loss: 4.604432582855225
Batch: 2, Loss: 4.4902544021606445
Batch: 3, Loss: 4.408179759979248
Batch: 4, Loss: 4.303197383880615
Batch: 5, Loss: 4.356983184814453
Batch: 6, Loss: 4.484009742736816
Batch: 7, Loss: 4.657488822937012
Batch: 8, Loss: 4.445531845092773
Batch: 9, Loss: 4.6280903816223145
Batch: 10, Loss: 4.31345796585083
Batch: 11, Loss: 4.478505611419678
Batch: 12, Loss: 4.244903087615967
Batch: 13, Loss: 3.9854788780212402
Batch: 14, Loss: 3.9455645084381104

Epoch 909 out of 2000Batch: 1, Loss: 5.549211502075195
Batch: 2, Loss: 5.52685546875
Batch: 3, Loss: 5.641964912414551
Batch: 4, Loss: 5.5152201652526855
Batch: 5, Loss: 5.507035255432129
Batch: 6, Loss: 5.100496768951416
Batch: 7, Loss: 5.1702752113342285
Batch: 8, Loss: 5.193427085876465
Batch: 9, Loss: 5.027026176452637
Batch: 10, Loss: 5.263111114501953
Batch: 11, Loss: 5.284307479858398
Batch: 12, Loss: 5.3759307861328125
Batch: 13, Loss: 5.2374653816223145
Batch: 14, Loss: 5.207452297210693

Epoch 910 out of 2000Batch: 1, Loss: 5.492595195770264
Batch: 2, Loss: 5.371918201446533
Batch: 3, Loss: 5.70551061630249
Batch: 4, Loss: 5.442011833190918
Batch: 5, Loss: 5.5841217041015625
Batch: 6, Loss: 5.433480739593506
Batch: 7, Loss: 5.69316291809082
Batch: 8, Loss: 5.6752471923828125
Batch: 9, Loss: 5.341915607452393
Batch: 10, Loss: 4.824461936950684
Batch: 11, Loss: 5.219778060913086
Batch: 12, Loss: 5.277281761169434
Batch: 13, Loss: 5.300459384918213
Batch: 14, Loss: 5.403713226318359

Epoch 911 out of 2000Batch: 1, Loss: 4.722103118896484
Batch: 2, Loss: 4.799015522003174
Batch: 3, Loss: 5.0983567237854
Batch: 4, Loss: 4.845574378967285
Batch: 5, Loss: 4.979501724243164
Batch: 6, Loss: 4.910301208496094
Batch: 7, Loss: 5.06613302230835
Batch: 8, Loss: 5.131904602050781
Batch: 9, Loss: 4.767787456512451
Batch: 10, Loss: 4.989709854125977
Batch: 11, Loss: 4.9426655769348145
Batch: 12, Loss: 5.087510585784912
Batch: 13, Loss: 4.415411949157715
Batch: 14, Loss: 4.7121901512146

Epoch 912 out of 2000Batch: 1, Loss: 5.7477898597717285
Batch: 2, Loss: 5.316261291503906
Batch: 3, Loss: 6.039982795715332
Batch: 4, Loss: 5.462772369384766
Batch: 5, Loss: 5.137643337249756
Batch: 6, Loss: 5.406925201416016
Batch: 7, Loss: 5.566076755523682
Batch: 8, Loss: 5.416767120361328
Batch: 9, Loss: 5.2066450119018555
Batch: 10, Loss: 5.334888458251953
Batch: 11, Loss: 5.205869674682617
Batch: 12, Loss: 5.219841480255127
Batch: 13, Loss: 5.576590061187744
Batch: 14, Loss: 5.540170669555664

Epoch 913 out of 2000Batch: 1, Loss: 4.669495582580566
Batch: 2, Loss: 4.353567600250244
Batch: 3, Loss: 4.697056770324707
Batch: 4, Loss: 4.473560810089111
Batch: 5, Loss: 4.431342601776123
Batch: 6, Loss: 4.687653541564941
Batch: 7, Loss: 4.506817817687988
Batch: 8, Loss: 4.833849906921387
Batch: 9, Loss: 4.210380554199219
Batch: 10, Loss: 4.909945964813232
Batch: 11, Loss: 4.794000625610352
Batch: 12, Loss: 4.230326175689697
Batch: 13, Loss: 4.843296051025391
Batch: 14, Loss: 3.9951419830322266

Epoch 914 out of 2000Batch: 1, Loss: 5.794398307800293
Batch: 2, Loss: 5.5128374099731445
Batch: 3, Loss: 5.368334770202637
Batch: 4, Loss: 5.606324672698975
Batch: 5, Loss: 5.445545673370361
Batch: 6, Loss: 6.103651523590088
Batch: 7, Loss: 5.918933868408203
Batch: 8, Loss: 5.217331886291504
Batch: 9, Loss: 5.31586217880249
Batch: 10, Loss: 5.375027179718018
Batch: 11, Loss: 5.271989822387695
Batch: 12, Loss: 5.332181453704834
Batch: 13, Loss: 5.4758100509643555
Batch: 14, Loss: 5.749878406524658

Epoch 915 out of 2000Batch: 1, Loss: 4.528924942016602
Batch: 2, Loss: 4.2287278175354
Batch: 3, Loss: 4.266109466552734
Batch: 4, Loss: 4.697967529296875
Batch: 5, Loss: 4.273055553436279
Batch: 6, Loss: 4.351084232330322
Batch: 7, Loss: 4.350130081176758
Batch: 8, Loss: 4.570065021514893
Batch: 9, Loss: 4.421613693237305
Batch: 10, Loss: 4.400392055511475
Batch: 11, Loss: 4.358560562133789
Batch: 12, Loss: 4.645577907562256
Batch: 13, Loss: 4.590370178222656
Batch: 14, Loss: 4.3540358543396

Epoch 916 out of 2000Batch: 1, Loss: 5.713811874389648
Batch: 2, Loss: 5.310270309448242
Batch: 3, Loss: 5.614743232727051
Batch: 4, Loss: 5.397390842437744
Batch: 5, Loss: 5.656396389007568
Batch: 6, Loss: 5.4747633934021
Batch: 7, Loss: 5.091823577880859
Batch: 8, Loss: 5.204553604125977
Batch: 9, Loss: 5.445260047912598
Batch: 10, Loss: 4.89457368850708
Batch: 11, Loss: 5.301224708557129
Batch: 12, Loss: 5.406403064727783
Batch: 13, Loss: 5.505418300628662
Batch: 14, Loss: 5.250377178192139

Epoch 917 out of 2000Batch: 1, Loss: 5.755616188049316
Batch: 2, Loss: 5.852170467376709
Batch: 3, Loss: 6.2176337242126465
Batch: 4, Loss: 5.637402057647705
Batch: 5, Loss: 5.620311737060547
Batch: 6, Loss: 5.959142684936523
Batch: 7, Loss: 5.9168171882629395
Batch: 8, Loss: 5.978134632110596
Batch: 9, Loss: 6.101640701293945
Batch: 10, Loss: 5.928120136260986
Batch: 11, Loss: 5.465094089508057
Batch: 12, Loss: 5.880277633666992
Batch: 13, Loss: 5.807279586791992
Batch: 14, Loss: 6.125704765319824

Epoch 918 out of 2000Batch: 1, Loss: 5.22689151763916
Batch: 2, Loss: 5.797645568847656
Batch: 3, Loss: 5.355568885803223
Batch: 4, Loss: 5.323968410491943
Batch: 5, Loss: 5.342310905456543
Batch: 6, Loss: 5.409641265869141
Batch: 7, Loss: 5.244753837585449
Batch: 8, Loss: 5.207126617431641
Batch: 9, Loss: 5.323999881744385
Batch: 10, Loss: 5.1627655029296875
Batch: 11, Loss: 5.403165817260742
Batch: 12, Loss: 5.214808464050293
Batch: 13, Loss: 5.140134334564209
Batch: 14, Loss: 5.279118537902832

Epoch 919 out of 2000Batch: 1, Loss: 5.747472763061523
Batch: 2, Loss: 5.854809284210205
Batch: 3, Loss: 6.386797904968262
Batch: 4, Loss: 6.38477087020874
Batch: 5, Loss: 5.946350574493408
Batch: 6, Loss: 5.987898349761963
Batch: 7, Loss: 6.314213752746582
Batch: 8, Loss: 6.071512222290039
Batch: 9, Loss: 5.631368160247803
Batch: 10, Loss: 6.00244140625
Batch: 11, Loss: 5.797144412994385
Batch: 12, Loss: 6.000830173492432
Batch: 13, Loss: 6.078064918518066
Batch: 14, Loss: 5.97154426574707

Epoch 920 out of 2000Batch: 1, Loss: 4.858109951019287
Batch: 2, Loss: 5.278916358947754
Batch: 3, Loss: 5.427853107452393
Batch: 4, Loss: 4.998092174530029
Batch: 5, Loss: 4.662841320037842
Batch: 6, Loss: 5.437854290008545
Batch: 7, Loss: 5.106106281280518
Batch: 8, Loss: 5.330357074737549
Batch: 9, Loss: 5.01151704788208
Batch: 10, Loss: 5.297114849090576
Batch: 11, Loss: 5.018349647521973
Batch: 12, Loss: 5.1373701095581055
Batch: 13, Loss: 4.995153903961182
Batch: 14, Loss: 5.294962406158447

Epoch 921 out of 2000Batch: 1, Loss: 4.966986179351807
Batch: 2, Loss: 5.0219035148620605
Batch: 3, Loss: 4.906669616699219
Batch: 4, Loss: 4.839785575866699
Batch: 5, Loss: 4.7425665855407715
Batch: 6, Loss: 4.597911357879639
Batch: 7, Loss: 5.254510879516602
Batch: 8, Loss: 4.71072244644165
Batch: 9, Loss: 5.402361869812012
Batch: 10, Loss: 4.967100143432617
Batch: 11, Loss: 4.790464401245117
Batch: 12, Loss: 4.844743728637695
Batch: 13, Loss: 5.053583145141602
Batch: 14, Loss: 4.805213451385498

Epoch 922 out of 2000Batch: 1, Loss: 5.083622455596924
Batch: 2, Loss: 4.570642471313477
Batch: 3, Loss: 4.897180557250977
Batch: 4, Loss: 4.868785381317139
Batch: 5, Loss: 5.410901069641113
Batch: 6, Loss: 5.084367752075195
Batch: 7, Loss: 4.4845356941223145
Batch: 8, Loss: 4.9385986328125
Batch: 9, Loss: 5.1830902099609375
Batch: 10, Loss: 5.128635406494141
Batch: 11, Loss: 4.723849773406982
Batch: 12, Loss: 4.930430889129639
Batch: 13, Loss: 4.69516658782959
Batch: 14, Loss: 5.138564586639404

Epoch 923 out of 2000Batch: 1, Loss: 4.42944860458374
Batch: 2, Loss: 4.7231645584106445
Batch: 3, Loss: 4.73158597946167
Batch: 4, Loss: 4.3101701736450195
Batch: 5, Loss: 4.638795852661133
Batch: 6, Loss: 4.482212066650391
Batch: 7, Loss: 4.684003829956055
Batch: 8, Loss: 4.637204170227051
Batch: 9, Loss: 4.457198143005371
Batch: 10, Loss: 4.683621883392334
Batch: 11, Loss: 4.644254684448242
Batch: 12, Loss: 4.6225786209106445
Batch: 13, Loss: 4.456849575042725
Batch: 14, Loss: 4.260117530822754

Epoch 924 out of 2000Batch: 1, Loss: 4.6530609130859375
Batch: 2, Loss: 5.3599324226379395
Batch: 3, Loss: 4.975812911987305
Batch: 4, Loss: 4.6870222091674805
Batch: 5, Loss: 4.859262943267822
Batch: 6, Loss: 4.525049209594727
Batch: 7, Loss: 5.001136302947998
Batch: 8, Loss: 4.740164279937744
Batch: 9, Loss: 4.682854652404785
Batch: 10, Loss: 4.963832855224609
Batch: 11, Loss: 4.736606597900391
Batch: 12, Loss: 4.978724956512451
Batch: 13, Loss: 4.8871612548828125
Batch: 14, Loss: 4.780909538269043

Epoch 925 out of 2000Batch: 1, Loss: 5.15556001663208
Batch: 2, Loss: 5.101595401763916
Batch: 3, Loss: 5.338199138641357
Batch: 4, Loss: 5.272842884063721
Batch: 5, Loss: 5.210604190826416
Batch: 6, Loss: 5.0055108070373535
Batch: 7, Loss: 5.429123401641846
Batch: 8, Loss: 5.069900035858154
Batch: 9, Loss: 5.101712226867676
Batch: 10, Loss: 5.398939609527588
Batch: 11, Loss: 5.50840425491333
Batch: 12, Loss: 5.309820652008057
Batch: 13, Loss: 5.100307464599609
Batch: 14, Loss: 5.352990627288818

Epoch 926 out of 2000Batch: 1, Loss: 5.244663715362549
Batch: 2, Loss: 4.884521961212158
Batch: 3, Loss: 5.276162147521973
Batch: 4, Loss: 5.365804672241211
Batch: 5, Loss: 5.108781814575195
Batch: 6, Loss: 5.33683967590332
Batch: 7, Loss: 5.439087867736816
Batch: 8, Loss: 4.937341690063477
Batch: 9, Loss: 5.4174041748046875
Batch: 10, Loss: 4.91965913772583
Batch: 11, Loss: 5.681387901306152
Batch: 12, Loss: 5.248394012451172
Batch: 13, Loss: 5.2859416007995605
Batch: 14, Loss: 5.756805896759033

Epoch 927 out of 2000Batch: 1, Loss: 5.490200042724609
Batch: 2, Loss: 5.05627965927124
Batch: 3, Loss: 5.441454887390137
Batch: 4, Loss: 6.175110816955566
Batch: 5, Loss: 5.352940082550049
Batch: 6, Loss: 5.153639316558838
Batch: 7, Loss: 5.3713812828063965
Batch: 8, Loss: 5.565287113189697
Batch: 9, Loss: 5.524209976196289
Batch: 10, Loss: 5.557092189788818
Batch: 11, Loss: 5.531015396118164
Batch: 12, Loss: 5.656955718994141
Batch: 13, Loss: 5.269082069396973
Batch: 14, Loss: 5.285533905029297

Epoch 928 out of 2000Batch: 1, Loss: 5.507562160491943
Batch: 2, Loss: 5.864686489105225
Batch: 3, Loss: 5.5633320808410645
Batch: 4, Loss: 5.406449794769287
Batch: 5, Loss: 6.100964069366455
Batch: 6, Loss: 5.427706241607666
Batch: 7, Loss: 5.4577107429504395
Batch: 8, Loss: 5.680846214294434
Batch: 9, Loss: 5.251507759094238
Batch: 10, Loss: 5.640512466430664
Batch: 11, Loss: 5.09256649017334
Batch: 12, Loss: 5.64547061920166
Batch: 13, Loss: 5.792104244232178
Batch: 14, Loss: 5.058328151702881

Epoch 929 out of 2000Batch: 1, Loss: 5.7721428871154785
Batch: 2, Loss: 5.480584621429443
Batch: 3, Loss: 5.2967753410339355
Batch: 4, Loss: 5.04949951171875
Batch: 5, Loss: 5.010762691497803
Batch: 6, Loss: 5.822874069213867
Batch: 7, Loss: 5.4916839599609375
Batch: 8, Loss: 5.467425346374512
Batch: 9, Loss: 5.253191947937012
Batch: 10, Loss: 6.042026519775391
Batch: 11, Loss: 5.4743852615356445
Batch: 12, Loss: 5.7228851318359375
Batch: 13, Loss: 5.60844087600708
Batch: 14, Loss: 5.4199604988098145

Epoch 930 out of 2000Batch: 1, Loss: 5.239455223083496
Batch: 2, Loss: 5.495460510253906
Batch: 3, Loss: 5.072315692901611
Batch: 4, Loss: 5.271176815032959
Batch: 5, Loss: 6.132743835449219
Batch: 6, Loss: 5.636136054992676
Batch: 7, Loss: 5.498337268829346
Batch: 8, Loss: 5.339308261871338
Batch: 9, Loss: 5.552328586578369
Batch: 10, Loss: 5.769750118255615
Batch: 11, Loss: 5.2805562019348145
Batch: 12, Loss: 5.241860866546631
Batch: 13, Loss: 5.5571208000183105
Batch: 14, Loss: 5.4210309982299805

Epoch 931 out of 2000Batch: 1, Loss: 3.875481367111206
Batch: 2, Loss: 4.08474588394165
Batch: 3, Loss: 4.294829845428467
Batch: 4, Loss: 4.0885009765625
Batch: 5, Loss: 3.976311206817627
Batch: 6, Loss: 3.9408202171325684
Batch: 7, Loss: 4.2165422439575195
Batch: 8, Loss: 3.7120935916900635
Batch: 9, Loss: 3.9178149700164795
Batch: 10, Loss: 4.0390191078186035
Batch: 11, Loss: 3.9155547618865967
Batch: 12, Loss: 3.7465131282806396
Batch: 13, Loss: 3.967662811279297
Batch: 14, Loss: 4.41602087020874

Epoch 932 out of 2000Batch: 1, Loss: 5.657112121582031
Batch: 2, Loss: 5.016575813293457
Batch: 3, Loss: 5.388560771942139
Batch: 4, Loss: 5.484508991241455
Batch: 5, Loss: 5.953282356262207
Batch: 6, Loss: 5.476992130279541
Batch: 7, Loss: 5.200170993804932
Batch: 8, Loss: 5.389309406280518
Batch: 9, Loss: 5.286140441894531
Batch: 10, Loss: 5.974058151245117
Batch: 11, Loss: 5.758366107940674
Batch: 12, Loss: 5.89489221572876
Batch: 13, Loss: 5.415581226348877
Batch: 14, Loss: 5.0601420402526855

Epoch 933 out of 2000Batch: 1, Loss: 5.182769298553467
Batch: 2, Loss: 5.1948628425598145
Batch: 3, Loss: 5.788086414337158
Batch: 4, Loss: 6.314922332763672
Batch: 5, Loss: 5.809234142303467
Batch: 6, Loss: 5.628140449523926
Batch: 7, Loss: 5.774118423461914
Batch: 8, Loss: 5.8871917724609375
Batch: 9, Loss: 5.512813568115234
Batch: 10, Loss: 5.200839042663574
Batch: 11, Loss: 5.595007419586182
Batch: 12, Loss: 5.518930912017822
Batch: 13, Loss: 5.713140487670898
Batch: 14, Loss: 5.774805068969727

Epoch 934 out of 2000Batch: 1, Loss: 5.799198150634766
Batch: 2, Loss: 6.111179828643799
Batch: 3, Loss: 5.465640068054199
Batch: 4, Loss: 5.179701328277588
Batch: 5, Loss: 6.2066168785095215
Batch: 6, Loss: 5.811371326446533
Batch: 7, Loss: 5.366949081420898
Batch: 8, Loss: 5.7426347732543945
Batch: 9, Loss: 5.691082000732422
Batch: 10, Loss: 5.378746032714844
Batch: 11, Loss: 5.642821311950684
Batch: 12, Loss: 5.61942720413208
Batch: 13, Loss: 5.613902568817139
Batch: 14, Loss: 5.10153865814209

Epoch 935 out of 2000Batch: 1, Loss: 5.241134166717529
Batch: 2, Loss: 5.518125534057617
Batch: 3, Loss: 5.649131774902344
Batch: 4, Loss: 5.685863018035889
Batch: 5, Loss: 5.630526542663574
Batch: 6, Loss: 5.527121543884277
Batch: 7, Loss: 5.681898593902588
Batch: 8, Loss: 5.5440239906311035
Batch: 9, Loss: 5.4301371574401855
Batch: 10, Loss: 5.508615016937256
Batch: 11, Loss: 5.685243129730225
Batch: 12, Loss: 5.858086109161377
Batch: 13, Loss: 5.515354633331299
Batch: 14, Loss: 5.926607608795166

Epoch 936 out of 2000Batch: 1, Loss: 5.7576775550842285
Batch: 2, Loss: 5.65726900100708
Batch: 3, Loss: 5.690096378326416
Batch: 4, Loss: 5.629314422607422
Batch: 5, Loss: 6.357483386993408
Batch: 6, Loss: 6.532456398010254
Batch: 7, Loss: 5.682837009429932
Batch: 8, Loss: 6.055516719818115
Batch: 9, Loss: 5.89024543762207
Batch: 10, Loss: 6.100242614746094
Batch: 11, Loss: 6.03203010559082
Batch: 12, Loss: 6.003503799438477
Batch: 13, Loss: 5.511298179626465
Batch: 14, Loss: 6.1946258544921875

Epoch 937 out of 2000Batch: 1, Loss: 5.44669246673584
Batch: 2, Loss: 5.532143592834473
Batch: 3, Loss: 5.684240818023682
Batch: 4, Loss: 4.75400972366333
Batch: 5, Loss: 5.466178894042969
Batch: 6, Loss: 5.270654678344727
Batch: 7, Loss: 5.4229021072387695
Batch: 8, Loss: 5.011349201202393
Batch: 9, Loss: 5.512226104736328
Batch: 10, Loss: 5.371531963348389
Batch: 11, Loss: 5.2886061668396
Batch: 12, Loss: 5.360799789428711
Batch: 13, Loss: 5.589955806732178
Batch: 14, Loss: 5.078793048858643

Epoch 938 out of 2000Batch: 1, Loss: 6.608698844909668
Batch: 2, Loss: 6.228665828704834
Batch: 3, Loss: 6.4478983879089355
Batch: 4, Loss: 6.80482816696167
Batch: 5, Loss: 6.60157585144043
Batch: 6, Loss: 5.528000831604004
Batch: 7, Loss: 5.457858562469482
Batch: 8, Loss: 5.770911693572998
Batch: 9, Loss: 6.17940616607666
Batch: 10, Loss: 6.486114978790283
Batch: 11, Loss: 6.168161869049072
Batch: 12, Loss: 6.335435390472412
Batch: 13, Loss: 5.884788990020752
Batch: 14, Loss: 6.521456718444824

Epoch 939 out of 2000Batch: 1, Loss: 5.467678070068359
Batch: 2, Loss: 5.35784387588501
Batch: 3, Loss: 5.0235795974731445
Batch: 4, Loss: 5.272144794464111
Batch: 5, Loss: 5.431825160980225
Batch: 6, Loss: 5.3830718994140625
Batch: 7, Loss: 5.417342185974121
Batch: 8, Loss: 5.730416774749756
Batch: 9, Loss: 5.395962715148926
Batch: 10, Loss: 5.147518157958984
Batch: 11, Loss: 4.998432159423828
Batch: 12, Loss: 5.524422645568848
Batch: 13, Loss: 5.402953624725342
Batch: 14, Loss: 5.22044038772583

Epoch 940 out of 2000Batch: 1, Loss: 6.089687347412109
Batch: 2, Loss: 6.097214698791504
Batch: 3, Loss: 6.516737937927246
Batch: 4, Loss: 5.366799831390381
Batch: 5, Loss: 6.172174453735352
Batch: 6, Loss: 6.76411771774292
Batch: 7, Loss: 6.08453369140625
Batch: 8, Loss: 6.518277645111084
Batch: 9, Loss: 6.118535041809082
Batch: 10, Loss: 5.774893283843994
Batch: 11, Loss: 6.086400032043457
Batch: 12, Loss: 6.365478992462158
Batch: 13, Loss: 5.9844069480896
Batch: 14, Loss: 6.316836357116699

Epoch 941 out of 2000Batch: 1, Loss: 5.568788528442383
Batch: 2, Loss: 5.553849220275879
Batch: 3, Loss: 5.446866512298584
Batch: 4, Loss: 5.640562057495117
Batch: 5, Loss: 5.700603485107422
Batch: 6, Loss: 5.361521244049072
Batch: 7, Loss: 5.527814865112305
Batch: 8, Loss: 5.548447132110596
Batch: 9, Loss: 5.652823448181152
Batch: 10, Loss: 5.118777751922607
Batch: 11, Loss: 5.41924524307251
Batch: 12, Loss: 5.58549690246582
Batch: 13, Loss: 5.290106773376465
Batch: 14, Loss: 5.18993616104126

Epoch 942 out of 2000Batch: 1, Loss: 5.425638198852539
Batch: 2, Loss: 5.402101039886475
Batch: 3, Loss: 5.40308141708374
Batch: 4, Loss: 4.973560333251953
Batch: 5, Loss: 5.570914268493652
Batch: 6, Loss: 4.799600124359131
Batch: 7, Loss: 5.232560634613037
Batch: 8, Loss: 4.2925944328308105
Batch: 9, Loss: 5.347063064575195
Batch: 10, Loss: 5.173764705657959
Batch: 11, Loss: 5.013002395629883
Batch: 12, Loss: 5.033853530883789
Batch: 13, Loss: 5.230810642242432
Batch: 14, Loss: 4.831177711486816

Epoch 943 out of 2000Batch: 1, Loss: 4.599372386932373
Batch: 2, Loss: 4.7470502853393555
Batch: 3, Loss: 4.7415242195129395
Batch: 4, Loss: 4.667257785797119
Batch: 5, Loss: 4.859069347381592
Batch: 6, Loss: 4.6954755783081055
Batch: 7, Loss: 4.653291702270508
Batch: 8, Loss: 5.019317626953125
Batch: 9, Loss: 4.6796345710754395
Batch: 10, Loss: 4.579517841339111
Batch: 11, Loss: 4.57612419128418
Batch: 12, Loss: 4.815256595611572
Batch: 13, Loss: 4.364777088165283
Batch: 14, Loss: 5.028395175933838

Epoch 944 out of 2000Batch: 1, Loss: 4.98851203918457
Batch: 2, Loss: 4.6359663009643555
Batch: 3, Loss: 4.896063327789307
Batch: 4, Loss: 4.914620399475098
Batch: 5, Loss: 4.569586277008057
Batch: 6, Loss: 4.857333183288574
Batch: 7, Loss: 4.982580661773682
Batch: 8, Loss: 4.858423233032227
Batch: 9, Loss: 4.5307745933532715
Batch: 10, Loss: 4.5154948234558105
Batch: 11, Loss: 4.744978904724121
Batch: 12, Loss: 4.5093092918396
Batch: 13, Loss: 4.751601219177246
Batch: 14, Loss: 4.590224742889404

Epoch 945 out of 2000Batch: 1, Loss: 5.3078999519348145
Batch: 2, Loss: 5.123332500457764
Batch: 3, Loss: 4.8488640785217285
Batch: 4, Loss: 4.966433048248291
Batch: 5, Loss: 5.241733074188232
Batch: 6, Loss: 4.804553508758545
Batch: 7, Loss: 5.154417514801025
Batch: 8, Loss: 4.888465404510498
Batch: 9, Loss: 4.767140865325928
Batch: 10, Loss: 4.7086920738220215
Batch: 11, Loss: 4.8218092918396
Batch: 12, Loss: 5.186820983886719
Batch: 13, Loss: 5.157660484313965
Batch: 14, Loss: 5.522705554962158

Epoch 946 out of 2000Batch: 1, Loss: 4.9650444984436035
Batch: 2, Loss: 5.180991172790527
Batch: 3, Loss: 4.774505615234375
Batch: 4, Loss: 5.280735015869141
Batch: 5, Loss: 5.408676624298096
Batch: 6, Loss: 5.525911808013916
Batch: 7, Loss: 4.886165142059326
Batch: 8, Loss: 4.876005172729492
Batch: 9, Loss: 4.941115379333496
Batch: 10, Loss: 4.6712775230407715
Batch: 11, Loss: 4.99222993850708
Batch: 12, Loss: 5.248413562774658
Batch: 13, Loss: 5.370833396911621
Batch: 14, Loss: 5.200186729431152

Epoch 947 out of 2000Batch: 1, Loss: 5.561186790466309
Batch: 2, Loss: 5.882837772369385
Batch: 3, Loss: 5.362301826477051
Batch: 4, Loss: 5.230798721313477
Batch: 5, Loss: 5.6953935623168945
Batch: 6, Loss: 5.398299694061279
Batch: 7, Loss: 5.616240501403809
Batch: 8, Loss: 5.582572937011719
Batch: 9, Loss: 5.723796844482422
Batch: 10, Loss: 5.839438438415527
Batch: 11, Loss: 5.2535929679870605
Batch: 12, Loss: 5.341296195983887
Batch: 13, Loss: 5.582855701446533
Batch: 14, Loss: 5.247373580932617

Epoch 948 out of 2000Batch: 1, Loss: 5.31919002532959
Batch: 2, Loss: 5.331159591674805
Batch: 3, Loss: 5.189657688140869
Batch: 4, Loss: 5.139570236206055
Batch: 5, Loss: 5.322856903076172
Batch: 6, Loss: 5.411477565765381
Batch: 7, Loss: 5.3976874351501465
Batch: 8, Loss: 5.44619083404541
Batch: 9, Loss: 5.487401008605957
Batch: 10, Loss: 5.581160068511963
Batch: 11, Loss: 5.376651763916016
Batch: 12, Loss: 5.502336025238037
Batch: 13, Loss: 5.272744655609131
Batch: 14, Loss: 5.788949489593506

Epoch 949 out of 2000Batch: 1, Loss: 4.787233829498291
Batch: 2, Loss: 5.095629692077637
Batch: 3, Loss: 5.026433944702148
Batch: 4, Loss: 5.034547805786133
Batch: 5, Loss: 5.094274044036865
Batch: 6, Loss: 4.895419120788574
Batch: 7, Loss: 4.968226432800293
Batch: 8, Loss: 5.063391208648682
Batch: 9, Loss: 4.732059955596924
Batch: 10, Loss: 4.7869744300842285
Batch: 11, Loss: 4.93654727935791
Batch: 12, Loss: 4.707771301269531
Batch: 13, Loss: 4.919579982757568
Batch: 14, Loss: 5.100550174713135

Epoch 950 out of 2000Batch: 1, Loss: 4.129355430603027
Batch: 2, Loss: 4.412472724914551
Batch: 3, Loss: 3.793273448944092
Batch: 4, Loss: 4.015453815460205
Batch: 5, Loss: 3.9722557067871094
Batch: 6, Loss: 4.144416809082031
Batch: 7, Loss: 3.963498592376709
Batch: 8, Loss: 4.011094093322754
Batch: 9, Loss: 3.9436333179473877
Batch: 10, Loss: 3.8928334712982178
Batch: 11, Loss: 4.10342264175415
Batch: 12, Loss: 4.005512237548828
Batch: 13, Loss: 4.127808094024658
Batch: 14, Loss: 3.883877754211426

Epoch 951 out of 2000Batch: 1, Loss: 4.505421161651611
Batch: 2, Loss: 4.163645267486572
Batch: 3, Loss: 4.3434858322143555
Batch: 4, Loss: 4.575438022613525
Batch: 5, Loss: 4.518295764923096
Batch: 6, Loss: 4.304388523101807
Batch: 7, Loss: 4.621813774108887
Batch: 8, Loss: 4.659183502197266
Batch: 9, Loss: 4.479072570800781
Batch: 10, Loss: 4.541571617126465
Batch: 11, Loss: 4.520358562469482
Batch: 12, Loss: 4.167897701263428
Batch: 13, Loss: 4.558730125427246
Batch: 14, Loss: 4.419316291809082

Epoch 952 out of 2000Batch: 1, Loss: 4.678657054901123
Batch: 2, Loss: 4.676529884338379
Batch: 3, Loss: 3.784555673599243
Batch: 4, Loss: 5.061988830566406
Batch: 5, Loss: 4.979140758514404
Batch: 6, Loss: 4.4649529457092285
Batch: 7, Loss: 4.7906317710876465
Batch: 8, Loss: 4.10685920715332
Batch: 9, Loss: 4.7431159019470215
Batch: 10, Loss: 4.67744779586792
Batch: 11, Loss: 4.5115532875061035
Batch: 12, Loss: 4.592840194702148
Batch: 13, Loss: 4.405457496643066
Batch: 14, Loss: 4.732049942016602

Epoch 953 out of 2000Batch: 1, Loss: 6.07387638092041
Batch: 2, Loss: 5.8322553634643555
Batch: 3, Loss: 5.978738307952881
Batch: 4, Loss: 5.159773826599121
Batch: 5, Loss: 5.585657119750977
Batch: 6, Loss: 6.021228313446045
Batch: 7, Loss: 6.050111293792725
Batch: 8, Loss: 4.989297389984131
Batch: 9, Loss: 5.772100448608398
Batch: 10, Loss: 5.854166507720947
Batch: 11, Loss: 5.509308815002441
Batch: 12, Loss: 5.6592326164245605
Batch: 13, Loss: 5.882681369781494
Batch: 14, Loss: 5.504034996032715

Epoch 954 out of 2000Batch: 1, Loss: 5.535737037658691
Batch: 2, Loss: 5.8609466552734375
Batch: 3, Loss: 5.241954326629639
Batch: 4, Loss: 5.066893100738525
Batch: 5, Loss: 5.416666507720947
Batch: 6, Loss: 5.620748043060303
Batch: 7, Loss: 5.619022846221924
Batch: 8, Loss: 5.750479698181152
Batch: 9, Loss: 5.822956085205078
Batch: 10, Loss: 5.835981845855713
Batch: 11, Loss: 5.679537773132324
Batch: 12, Loss: 5.484823226928711
Batch: 13, Loss: 5.942844390869141
Batch: 14, Loss: 5.475078105926514

Epoch 955 out of 2000Batch: 1, Loss: 5.5168232917785645
Batch: 2, Loss: 5.689373970031738
Batch: 3, Loss: 5.495494842529297
Batch: 4, Loss: 5.493128776550293
Batch: 5, Loss: 5.041771411895752
Batch: 6, Loss: 5.39221715927124
Batch: 7, Loss: 4.787344455718994
Batch: 8, Loss: 5.191675186157227
Batch: 9, Loss: 4.986154556274414
Batch: 10, Loss: 5.369724273681641
Batch: 11, Loss: 5.487508296966553
Batch: 12, Loss: 4.846171855926514
Batch: 13, Loss: 4.898455619812012
Batch: 14, Loss: 5.0129852294921875

Epoch 956 out of 2000Batch: 1, Loss: 5.178027629852295
Batch: 2, Loss: 4.884450912475586
Batch: 3, Loss: 4.919519424438477
Batch: 4, Loss: 4.854635238647461
Batch: 5, Loss: 5.31969690322876
Batch: 6, Loss: 5.218687057495117
Batch: 7, Loss: 5.2301130294799805
Batch: 8, Loss: 5.358613014221191
Batch: 9, Loss: 5.0180792808532715
Batch: 10, Loss: 5.02448844909668
Batch: 11, Loss: 4.849233627319336
Batch: 12, Loss: 5.156605243682861
Batch: 13, Loss: 4.940306663513184
Batch: 14, Loss: 5.1066508293151855

Epoch 957 out of 2000Batch: 1, Loss: 4.80680513381958
Batch: 2, Loss: 5.2314043045043945
Batch: 3, Loss: 4.540006160736084
Batch: 4, Loss: 4.913307189941406
Batch: 5, Loss: 4.626215934753418
Batch: 6, Loss: 4.670294284820557
Batch: 7, Loss: 4.4538373947143555
Batch: 8, Loss: 4.471684455871582
Batch: 9, Loss: 4.6819915771484375
Batch: 10, Loss: 4.999659061431885
Batch: 11, Loss: 4.966462135314941
Batch: 12, Loss: 4.897110939025879
Batch: 13, Loss: 4.826328754425049
Batch: 14, Loss: 4.3824286460876465

Epoch 958 out of 2000Batch: 1, Loss: 5.403492450714111
Batch: 2, Loss: 5.95181941986084
Batch: 3, Loss: 5.870711803436279
Batch: 4, Loss: 5.417304039001465
Batch: 5, Loss: 5.72119665145874
Batch: 6, Loss: 5.534158229827881
Batch: 7, Loss: 5.995695114135742
Batch: 8, Loss: 5.394996166229248
Batch: 9, Loss: 6.080096244812012
Batch: 10, Loss: 5.7004570960998535
Batch: 11, Loss: 5.498419761657715
Batch: 12, Loss: 5.31569766998291
Batch: 13, Loss: 5.471259117126465
Batch: 14, Loss: 5.844115257263184

Epoch 959 out of 2000Batch: 1, Loss: 4.895989894866943
Batch: 2, Loss: 4.7472710609436035
Batch: 3, Loss: 4.458465099334717
Batch: 4, Loss: 4.686455726623535
Batch: 5, Loss: 4.606761455535889
Batch: 6, Loss: 4.87711763381958
Batch: 7, Loss: 4.824731349945068
Batch: 8, Loss: 4.692568778991699
Batch: 9, Loss: 4.510613441467285
Batch: 10, Loss: 4.501267910003662
Batch: 11, Loss: 4.321681022644043
Batch: 12, Loss: 4.630289554595947
Batch: 13, Loss: 4.200540065765381
Batch: 14, Loss: 4.76835823059082

Epoch 960 out of 2000Batch: 1, Loss: 5.715661525726318
Batch: 2, Loss: 5.709066390991211
Batch: 3, Loss: 5.922652244567871
Batch: 4, Loss: 5.720398426055908
Batch: 5, Loss: 5.53548526763916
Batch: 6, Loss: 5.740655899047852
Batch: 7, Loss: 5.690842151641846
Batch: 8, Loss: 5.424786567687988
Batch: 9, Loss: 5.701711654663086
Batch: 10, Loss: 5.420339107513428
Batch: 11, Loss: 5.4134202003479
Batch: 12, Loss: 5.634036064147949
Batch: 13, Loss: 5.629772186279297
Batch: 14, Loss: 5.770406246185303

Epoch 961 out of 2000Batch: 1, Loss: 5.111950397491455
Batch: 2, Loss: 5.044312000274658
Batch: 3, Loss: 4.830116271972656
Batch: 4, Loss: 4.909675598144531
Batch: 5, Loss: 5.130834102630615
Batch: 6, Loss: 4.9262871742248535
Batch: 7, Loss: 5.1947760581970215
Batch: 8, Loss: 5.180906772613525
Batch: 9, Loss: 4.998374938964844
Batch: 10, Loss: 4.771575927734375
Batch: 11, Loss: 4.3795647621154785
Batch: 12, Loss: 5.345719337463379
Batch: 13, Loss: 4.784701824188232
Batch: 14, Loss: 4.680292129516602

Epoch 962 out of 2000Batch: 1, Loss: 6.4902167320251465
Batch: 2, Loss: 6.838863372802734
Batch: 3, Loss: 6.18062686920166
Batch: 4, Loss: 6.218071937561035
Batch: 5, Loss: 5.871686935424805
Batch: 6, Loss: 6.257554054260254
Batch: 7, Loss: 6.165064334869385
Batch: 8, Loss: 5.706313133239746
Batch: 9, Loss: 6.525911331176758
Batch: 10, Loss: 6.132107257843018
Batch: 11, Loss: 6.405399322509766
Batch: 12, Loss: 6.043764591217041
Batch: 13, Loss: 6.463399410247803
Batch: 14, Loss: 6.29563570022583

Epoch 963 out of 2000Batch: 1, Loss: 4.984548568725586
Batch: 2, Loss: 5.108861446380615
Batch: 3, Loss: 5.190398693084717
Batch: 4, Loss: 5.205151081085205
Batch: 5, Loss: 5.024464130401611
Batch: 6, Loss: 4.994945526123047
Batch: 7, Loss: 4.916029453277588
Batch: 8, Loss: 4.854285717010498
Batch: 9, Loss: 4.735385894775391
Batch: 10, Loss: 5.008033752441406
Batch: 11, Loss: 5.278771877288818
Batch: 12, Loss: 4.770392417907715
Batch: 13, Loss: 4.875322341918945
Batch: 14, Loss: 5.119312763214111

Epoch 964 out of 2000Batch: 1, Loss: 5.451266288757324
Batch: 2, Loss: 5.595675468444824
Batch: 3, Loss: 5.472557067871094
Batch: 4, Loss: 5.628482818603516
Batch: 5, Loss: 5.4420166015625
Batch: 6, Loss: 5.572307109832764
Batch: 7, Loss: 5.745058536529541
Batch: 8, Loss: 5.457704544067383
Batch: 9, Loss: 5.7119364738464355
Batch: 10, Loss: 5.070067882537842
Batch: 11, Loss: 5.0342864990234375
Batch: 12, Loss: 4.869299411773682
Batch: 13, Loss: 5.414229869842529
Batch: 14, Loss: 5.74931526184082

Epoch 965 out of 2000Batch: 1, Loss: 3.764530658721924
Batch: 2, Loss: 3.9239773750305176
Batch: 3, Loss: 4.380361557006836
Batch: 4, Loss: 4.17941427230835
Batch: 5, Loss: 3.7608802318573
Batch: 6, Loss: 3.7377424240112305
Batch: 7, Loss: 3.583848714828491
Batch: 8, Loss: 4.029232025146484
Batch: 9, Loss: 3.5241682529449463
Batch: 10, Loss: 3.588904619216919
Batch: 11, Loss: 4.067361831665039
Batch: 12, Loss: 3.7431859970092773
Batch: 13, Loss: 3.9146976470947266
Batch: 14, Loss: 3.7594950199127197

Epoch 966 out of 2000Batch: 1, Loss: 4.122863292694092
Batch: 2, Loss: 4.139983177185059
Batch: 3, Loss: 3.9119980335235596
Batch: 4, Loss: 3.5968923568725586
Batch: 5, Loss: 4.267848968505859
Batch: 6, Loss: 3.912916660308838
Batch: 7, Loss: 4.184631824493408
Batch: 8, Loss: 4.245232105255127
Batch: 9, Loss: 4.4101881980896
Batch: 10, Loss: 4.079605579376221
Batch: 11, Loss: 3.8480172157287598
Batch: 12, Loss: 4.421607971191406
Batch: 13, Loss: 4.184381484985352
Batch: 14, Loss: 3.8784146308898926

Epoch 967 out of 2000Batch: 1, Loss: 4.590603351593018
Batch: 2, Loss: 4.763758659362793
Batch: 3, Loss: 4.418335914611816
Batch: 4, Loss: 4.987178325653076
Batch: 5, Loss: 4.805792331695557
Batch: 6, Loss: 4.664261817932129
Batch: 7, Loss: 5.032064437866211
Batch: 8, Loss: 5.045135021209717
Batch: 9, Loss: 5.067044734954834
Batch: 10, Loss: 4.721465587615967
Batch: 11, Loss: 4.577597618103027
Batch: 12, Loss: 4.878037929534912
Batch: 13, Loss: 5.052164077758789
Batch: 14, Loss: 4.543167591094971

Epoch 968 out of 2000Batch: 1, Loss: 4.441285133361816
Batch: 2, Loss: 4.383734226226807
Batch: 3, Loss: 4.271419525146484
Batch: 4, Loss: 4.681766510009766
Batch: 5, Loss: 4.112246036529541
Batch: 6, Loss: 4.282068729400635
Batch: 7, Loss: 4.2917704582214355
Batch: 8, Loss: 4.264217853546143
Batch: 9, Loss: 4.2466912269592285
Batch: 10, Loss: 3.986926794052124
Batch: 11, Loss: 4.296112537384033
Batch: 12, Loss: 4.5364251136779785
Batch: 13, Loss: 4.158889293670654
Batch: 14, Loss: 4.002796649932861

Epoch 969 out of 2000Batch: 1, Loss: 4.96270227432251
Batch: 2, Loss: 5.079588890075684
Batch: 3, Loss: 5.123025417327881
Batch: 4, Loss: 5.0469512939453125
Batch: 5, Loss: 4.740121841430664
Batch: 6, Loss: 4.810028076171875
Batch: 7, Loss: 5.266850471496582
Batch: 8, Loss: 4.596940994262695
Batch: 9, Loss: 4.528167247772217
Batch: 10, Loss: 4.869014263153076
Batch: 11, Loss: 4.829927444458008
Batch: 12, Loss: 4.7641682624816895
Batch: 13, Loss: 4.59246301651001
Batch: 14, Loss: 4.79780912399292

Epoch 970 out of 2000Batch: 1, Loss: 5.765709400177002
Batch: 2, Loss: 5.8217973709106445
Batch: 3, Loss: 5.6530680656433105
Batch: 4, Loss: 5.827043533325195
Batch: 5, Loss: 5.832154750823975
Batch: 6, Loss: 5.4563140869140625
Batch: 7, Loss: 5.978325366973877
Batch: 8, Loss: 5.964806079864502
Batch: 9, Loss: 5.637670993804932
Batch: 10, Loss: 5.67150354385376
Batch: 11, Loss: 5.85122537612915
Batch: 12, Loss: 5.867429733276367
Batch: 13, Loss: 5.730706214904785
Batch: 14, Loss: 5.420323848724365

Epoch 971 out of 2000Batch: 1, Loss: 4.854756832122803
Batch: 2, Loss: 5.149626731872559
Batch: 3, Loss: 5.0358757972717285
Batch: 4, Loss: 5.1635332107543945
Batch: 5, Loss: 4.916129112243652
Batch: 6, Loss: 4.986088275909424
Batch: 7, Loss: 5.20889949798584
Batch: 8, Loss: 5.106955528259277
Batch: 9, Loss: 4.969158172607422
Batch: 10, Loss: 4.916897296905518
Batch: 11, Loss: 4.8046488761901855
Batch: 12, Loss: 4.914474010467529
Batch: 13, Loss: 4.857583522796631
Batch: 14, Loss: 4.852624893188477

Epoch 972 out of 2000Batch: 1, Loss: 5.1909499168396
Batch: 2, Loss: 5.214197158813477
Batch: 3, Loss: 5.689751148223877
Batch: 4, Loss: 5.814570426940918
Batch: 5, Loss: 5.570150375366211
Batch: 6, Loss: 5.117173194885254
Batch: 7, Loss: 5.831069469451904
Batch: 8, Loss: 5.318011283874512
Batch: 9, Loss: 5.44794225692749
Batch: 10, Loss: 5.270072937011719
Batch: 11, Loss: 5.606756687164307
Batch: 12, Loss: 5.239293098449707
Batch: 13, Loss: 5.779300689697266
Batch: 14, Loss: 6.238741874694824

Epoch 973 out of 2000Batch: 1, Loss: 5.121736526489258
Batch: 2, Loss: 5.460332870483398
Batch: 3, Loss: 5.063552379608154
Batch: 4, Loss: 4.663883686065674
Batch: 5, Loss: 4.7102179527282715
Batch: 6, Loss: 4.888001918792725
Batch: 7, Loss: 4.800373554229736
Batch: 8, Loss: 4.803642272949219
Batch: 9, Loss: 4.840652942657471
Batch: 10, Loss: 5.135993003845215
Batch: 11, Loss: 4.801319599151611
Batch: 12, Loss: 5.226135730743408
Batch: 13, Loss: 4.970104694366455
Batch: 14, Loss: 4.455896854400635

Epoch 974 out of 2000Batch: 1, Loss: 4.507589817047119
Batch: 2, Loss: 4.800478935241699
Batch: 3, Loss: 4.696636199951172
Batch: 4, Loss: 4.475481033325195
Batch: 5, Loss: 4.967833518981934
Batch: 6, Loss: 4.411442756652832
Batch: 7, Loss: 4.624261379241943
Batch: 8, Loss: 4.7315802574157715
Batch: 9, Loss: 4.202891826629639
Batch: 10, Loss: 4.116914749145508
Batch: 11, Loss: 4.811938762664795
Batch: 12, Loss: 4.526244163513184
Batch: 13, Loss: 4.741620063781738
Batch: 14, Loss: 3.9648234844207764

Epoch 975 out of 2000Batch: 1, Loss: 5.060155868530273
Batch: 2, Loss: 5.358994007110596
Batch: 3, Loss: 5.3199944496154785
Batch: 4, Loss: 4.743946552276611
Batch: 5, Loss: 4.74992561340332
Batch: 6, Loss: 4.991529941558838
Batch: 7, Loss: 4.9547882080078125
Batch: 8, Loss: 4.891557216644287
Batch: 9, Loss: 4.826064586639404
Batch: 10, Loss: 4.767658233642578
Batch: 11, Loss: 5.054847240447998
Batch: 12, Loss: 5.053443431854248
Batch: 13, Loss: 4.884130001068115
Batch: 14, Loss: 4.638298988342285

Epoch 976 out of 2000Batch: 1, Loss: 5.156246185302734
Batch: 2, Loss: 5.740769863128662
Batch: 3, Loss: 5.2554612159729
Batch: 4, Loss: 5.085906505584717
Batch: 5, Loss: 5.426345348358154
Batch: 6, Loss: 5.608780860900879
Batch: 7, Loss: 4.648490905761719
Batch: 8, Loss: 5.766312599182129
Batch: 9, Loss: 5.516066551208496
Batch: 10, Loss: 5.112802982330322
Batch: 11, Loss: 5.214116096496582
Batch: 12, Loss: 5.567673683166504
Batch: 13, Loss: 5.496493339538574
Batch: 14, Loss: 5.005727767944336

Epoch 977 out of 2000Batch: 1, Loss: 5.051042079925537
Batch: 2, Loss: 5.206910610198975
Batch: 3, Loss: 5.6854634284973145
Batch: 4, Loss: 5.086718559265137
Batch: 5, Loss: 5.216275215148926
Batch: 6, Loss: 5.208046913146973
Batch: 7, Loss: 5.352753162384033
Batch: 8, Loss: 4.750846862792969
Batch: 9, Loss: 5.331262111663818
Batch: 10, Loss: 4.760284423828125
Batch: 11, Loss: 5.308689117431641
Batch: 12, Loss: 5.25892448425293
Batch: 13, Loss: 5.340388774871826
Batch: 14, Loss: 5.0004801750183105

Epoch 978 out of 2000Batch: 1, Loss: 4.4873456954956055
Batch: 2, Loss: 4.511778354644775
Batch: 3, Loss: 4.659402847290039
Batch: 4, Loss: 4.786174297332764
Batch: 5, Loss: 4.802563190460205
Batch: 6, Loss: 4.675822734832764
Batch: 7, Loss: 4.607881546020508
Batch: 8, Loss: 4.788889408111572
Batch: 9, Loss: 4.431886672973633
Batch: 10, Loss: 4.599495887756348
Batch: 11, Loss: 4.386498928070068
Batch: 12, Loss: 4.705209732055664
Batch: 13, Loss: 4.53714656829834
Batch: 14, Loss: 4.477162837982178

Epoch 979 out of 2000Batch: 1, Loss: 5.08582878112793
Batch: 2, Loss: 4.8253278732299805
Batch: 3, Loss: 5.08115816116333
Batch: 4, Loss: 5.338355541229248
Batch: 5, Loss: 4.988905429840088
Batch: 6, Loss: 5.008068561553955
Batch: 7, Loss: 5.203729152679443
Batch: 8, Loss: 5.023317337036133
Batch: 9, Loss: 5.1791486740112305
Batch: 10, Loss: 5.3521728515625
Batch: 11, Loss: 4.876325607299805
Batch: 12, Loss: 5.237147331237793
Batch: 13, Loss: 4.880853652954102
Batch: 14, Loss: 4.679947376251221

Epoch 980 out of 2000Batch: 1, Loss: 5.248583793640137
Batch: 2, Loss: 4.6900248527526855
Batch: 3, Loss: 5.28132438659668
Batch: 4, Loss: 5.241700649261475
Batch: 5, Loss: 5.129166603088379
Batch: 6, Loss: 5.048658847808838
Batch: 7, Loss: 5.129267692565918
Batch: 8, Loss: 5.543501377105713
Batch: 9, Loss: 5.106898307800293
Batch: 10, Loss: 5.115292072296143
Batch: 11, Loss: 4.752376079559326
Batch: 12, Loss: 4.989960193634033
Batch: 13, Loss: 5.322326183319092
Batch: 14, Loss: 5.184455871582031

Epoch 981 out of 2000Batch: 1, Loss: 5.12225341796875
Batch: 2, Loss: 4.76444149017334
Batch: 3, Loss: 4.751898288726807
Batch: 4, Loss: 4.925734043121338
Batch: 5, Loss: 4.787547588348389
Batch: 6, Loss: 4.612440586090088
Batch: 7, Loss: 4.744813919067383
Batch: 8, Loss: 4.730163097381592
Batch: 9, Loss: 4.866543769836426
Batch: 10, Loss: 4.625656604766846
Batch: 11, Loss: 4.492030620574951
Batch: 12, Loss: 4.6772027015686035
Batch: 13, Loss: 4.79302453994751
Batch: 14, Loss: 4.67185115814209

Epoch 982 out of 2000Batch: 1, Loss: 5.727822303771973
Batch: 2, Loss: 5.771960735321045
Batch: 3, Loss: 6.148471355438232
Batch: 4, Loss: 5.903531551361084
Batch: 5, Loss: 5.216444969177246
Batch: 6, Loss: 5.639289379119873
Batch: 7, Loss: 5.2454304695129395
Batch: 8, Loss: 5.406347751617432
Batch: 9, Loss: 5.453490734100342
Batch: 10, Loss: 4.981145858764648
Batch: 11, Loss: 5.120802402496338
Batch: 12, Loss: 5.6317315101623535
Batch: 13, Loss: 5.66468620300293
Batch: 14, Loss: 5.39886999130249

Epoch 983 out of 2000Batch: 1, Loss: 5.528915882110596
Batch: 2, Loss: 6.393364906311035
Batch: 3, Loss: 5.750062942504883
Batch: 4, Loss: 5.454750061035156
Batch: 5, Loss: 6.0757737159729
Batch: 6, Loss: 5.576860427856445
Batch: 7, Loss: 6.023169994354248
Batch: 8, Loss: 6.083305358886719
Batch: 9, Loss: 5.3562188148498535
Batch: 10, Loss: 5.073031902313232
Batch: 11, Loss: 5.321103096008301
Batch: 12, Loss: 5.69254207611084
Batch: 13, Loss: 6.118824005126953
Batch: 14, Loss: 6.456904411315918

Epoch 984 out of 2000Batch: 1, Loss: 4.919406890869141
Batch: 2, Loss: 4.4592108726501465
Batch: 3, Loss: 5.090608596801758
Batch: 4, Loss: 4.351187705993652
Batch: 5, Loss: 4.920356273651123
Batch: 6, Loss: 4.6808695793151855
Batch: 7, Loss: 4.301192760467529
Batch: 8, Loss: 4.60523796081543
Batch: 9, Loss: 4.636150360107422
Batch: 10, Loss: 4.169369220733643
Batch: 11, Loss: 4.423008441925049
Batch: 12, Loss: 4.513807773590088
Batch: 13, Loss: 5.039981842041016
Batch: 14, Loss: 4.3028883934021

Epoch 985 out of 2000Batch: 1, Loss: 5.117743015289307
Batch: 2, Loss: 5.226263523101807
Batch: 3, Loss: 4.849266052246094
Batch: 4, Loss: 4.867043495178223
Batch: 5, Loss: 4.682897090911865
Batch: 6, Loss: 4.959092617034912
Batch: 7, Loss: 4.668627738952637
Batch: 8, Loss: 5.224123001098633
Batch: 9, Loss: 4.938328742980957
Batch: 10, Loss: 5.159675121307373
Batch: 11, Loss: 5.084280490875244
Batch: 12, Loss: 5.133570194244385
Batch: 13, Loss: 4.758822917938232
Batch: 14, Loss: 4.838156700134277

Epoch 986 out of 2000Batch: 1, Loss: 4.343621253967285
Batch: 2, Loss: 4.552964687347412
Batch: 3, Loss: 4.047050476074219
Batch: 4, Loss: 4.7040581703186035
Batch: 5, Loss: 4.708212375640869
Batch: 6, Loss: 4.646926403045654
Batch: 7, Loss: 4.445983409881592
Batch: 8, Loss: 4.642931938171387
Batch: 9, Loss: 4.445660591125488
Batch: 10, Loss: 4.504060745239258
Batch: 11, Loss: 4.4792962074279785
Batch: 12, Loss: 4.3299150466918945
Batch: 13, Loss: 4.686329364776611
Batch: 14, Loss: 4.596956253051758

Epoch 987 out of 2000Batch: 1, Loss: 5.258181095123291
Batch: 2, Loss: 5.213685035705566
Batch: 3, Loss: 5.055777549743652
Batch: 4, Loss: 4.717771053314209
Batch: 5, Loss: 5.0146870613098145
Batch: 6, Loss: 5.243676662445068
Batch: 7, Loss: 4.691109657287598
Batch: 8, Loss: 5.131490707397461
Batch: 9, Loss: 4.857158660888672
Batch: 10, Loss: 5.106726169586182
Batch: 11, Loss: 5.010855197906494
Batch: 12, Loss: 4.990520477294922
Batch: 13, Loss: 4.6244306564331055
Batch: 14, Loss: 5.288558483123779

Epoch 988 out of 2000Batch: 1, Loss: 5.8743791580200195
Batch: 2, Loss: 5.238778114318848
Batch: 3, Loss: 5.522455215454102
Batch: 4, Loss: 5.691322326660156
Batch: 5, Loss: 6.064340591430664
Batch: 6, Loss: 5.539099216461182
Batch: 7, Loss: 5.860066890716553
Batch: 8, Loss: 6.143637180328369
Batch: 9, Loss: 5.5412726402282715
Batch: 10, Loss: 5.667048931121826
Batch: 11, Loss: 5.897982120513916
Batch: 12, Loss: 5.3964948654174805
Batch: 13, Loss: 5.63572359085083
Batch: 14, Loss: 5.636415958404541

Epoch 989 out of 2000Batch: 1, Loss: 4.788246154785156
Batch: 2, Loss: 4.7424702644348145
Batch: 3, Loss: 5.130613803863525
Batch: 4, Loss: 4.946199417114258
Batch: 5, Loss: 4.797211170196533
Batch: 6, Loss: 4.813448429107666
Batch: 7, Loss: 4.825883865356445
Batch: 8, Loss: 4.595222473144531
Batch: 9, Loss: 4.804682731628418
Batch: 10, Loss: 5.239474773406982
Batch: 11, Loss: 4.998394012451172
Batch: 12, Loss: 4.851913928985596
Batch: 13, Loss: 4.617502212524414
Batch: 14, Loss: 4.765957832336426

Epoch 990 out of 2000Batch: 1, Loss: 5.056456089019775
Batch: 2, Loss: 5.044277191162109
Batch: 3, Loss: 5.300090312957764
Batch: 4, Loss: 5.192317962646484
Batch: 5, Loss: 4.941656589508057
Batch: 6, Loss: 5.1620965003967285
Batch: 7, Loss: 5.072445392608643
Batch: 8, Loss: 4.8355278968811035
Batch: 9, Loss: 4.955841541290283
Batch: 10, Loss: 5.1683878898620605
Batch: 11, Loss: 4.928544044494629
Batch: 12, Loss: 5.276265621185303
Batch: 13, Loss: 4.9396257400512695
Batch: 14, Loss: 5.079076290130615

Epoch 991 out of 2000Batch: 1, Loss: 5.879169940948486
Batch: 2, Loss: 5.393331050872803
Batch: 3, Loss: 5.798322677612305
Batch: 4, Loss: 5.67212438583374
Batch: 5, Loss: 5.643640041351318
Batch: 6, Loss: 5.492675304412842
Batch: 7, Loss: 5.417502403259277
Batch: 8, Loss: 5.409749984741211
Batch: 9, Loss: 5.775290012359619
Batch: 10, Loss: 5.71444034576416
Batch: 11, Loss: 5.548560619354248
Batch: 12, Loss: 5.632678031921387
Batch: 13, Loss: 5.20346212387085
Batch: 14, Loss: 5.339835166931152

Epoch 992 out of 2000Batch: 1, Loss: 5.850718021392822
Batch: 2, Loss: 5.6393656730651855
Batch: 3, Loss: 5.372509479522705
Batch: 4, Loss: 5.786487102508545
Batch: 5, Loss: 5.809469223022461
Batch: 6, Loss: 5.5360026359558105
Batch: 7, Loss: 5.993512153625488
Batch: 8, Loss: 5.39628267288208
Batch: 9, Loss: 5.712832927703857
Batch: 10, Loss: 5.774232387542725
Batch: 11, Loss: 5.721439361572266
Batch: 12, Loss: 5.586293697357178
Batch: 13, Loss: 5.683790683746338
Batch: 14, Loss: 6.1678466796875

Epoch 993 out of 2000Batch: 1, Loss: 4.790222644805908
Batch: 2, Loss: 5.146334171295166
Batch: 3, Loss: 5.492980480194092
Batch: 4, Loss: 5.261004447937012
Batch: 5, Loss: 5.315639972686768
Batch: 6, Loss: 4.99398136138916
Batch: 7, Loss: 5.340122222900391
Batch: 8, Loss: 5.141178607940674
Batch: 9, Loss: 5.193995475769043
Batch: 10, Loss: 4.9692864418029785
Batch: 11, Loss: 5.071684837341309
Batch: 12, Loss: 5.361042022705078
Batch: 13, Loss: 5.130460262298584
Batch: 14, Loss: 5.506464004516602

Epoch 994 out of 2000Batch: 1, Loss: 5.353921413421631
Batch: 2, Loss: 5.199273586273193
Batch: 3, Loss: 5.12874698638916
Batch: 4, Loss: 4.880806922912598
Batch: 5, Loss: 5.324995994567871
Batch: 6, Loss: 5.1713480949401855
Batch: 7, Loss: 4.657968044281006
Batch: 8, Loss: 5.169821262359619
Batch: 9, Loss: 4.764998912811279
Batch: 10, Loss: 5.018805980682373
Batch: 11, Loss: 5.226241111755371
Batch: 12, Loss: 5.201690196990967
Batch: 13, Loss: 4.85567569732666
Batch: 14, Loss: 5.126498222351074

Epoch 995 out of 2000Batch: 1, Loss: 5.471888065338135
Batch: 2, Loss: 5.214601993560791
Batch: 3, Loss: 4.921524524688721
Batch: 4, Loss: 5.670344829559326
Batch: 5, Loss: 5.171499252319336
Batch: 6, Loss: 5.443461894989014
Batch: 7, Loss: 4.662779331207275
Batch: 8, Loss: 5.541116237640381
Batch: 9, Loss: 5.1031341552734375
Batch: 10, Loss: 5.302428245544434
Batch: 11, Loss: 5.454024791717529
Batch: 12, Loss: 4.8727946281433105
Batch: 13, Loss: 5.268438339233398
Batch: 14, Loss: 5.154109954833984

Epoch 996 out of 2000Batch: 1, Loss: 4.682571887969971
Batch: 2, Loss: 4.937477111816406
Batch: 3, Loss: 4.62759256362915
Batch: 4, Loss: 4.461028575897217
Batch: 5, Loss: 4.693329334259033
Batch: 6, Loss: 4.4518723487854
Batch: 7, Loss: 4.815433979034424
Batch: 8, Loss: 4.348191261291504
Batch: 9, Loss: 4.630565166473389
Batch: 10, Loss: 4.506805896759033
Batch: 11, Loss: 4.704386234283447
Batch: 12, Loss: 4.452596664428711
Batch: 13, Loss: 4.5485029220581055
Batch: 14, Loss: 4.884379863739014

Epoch 997 out of 2000Batch: 1, Loss: 5.132849216461182
Batch: 2, Loss: 4.734160900115967
Batch: 3, Loss: 4.8470778465271
Batch: 4, Loss: 4.400684833526611
Batch: 5, Loss: 4.331202507019043
Batch: 6, Loss: 4.914422988891602
Batch: 7, Loss: 4.3678507804870605
Batch: 8, Loss: 4.742746829986572
Batch: 9, Loss: 4.499848365783691
Batch: 10, Loss: 4.761579513549805
Batch: 11, Loss: 4.655416965484619
Batch: 12, Loss: 4.9328083992004395
Batch: 13, Loss: 4.813278675079346
Batch: 14, Loss: 4.742850303649902

Epoch 998 out of 2000Batch: 1, Loss: 4.667945384979248
Batch: 2, Loss: 4.7016801834106445
Batch: 3, Loss: 4.566553592681885
Batch: 4, Loss: 5.086075305938721
Batch: 5, Loss: 4.7801313400268555
Batch: 6, Loss: 4.603029251098633
Batch: 7, Loss: 4.831796169281006
Batch: 8, Loss: 4.857424259185791
Batch: 9, Loss: 4.472322940826416
Batch: 10, Loss: 4.650043964385986
Batch: 11, Loss: 4.719686985015869
Batch: 12, Loss: 4.859671115875244
Batch: 13, Loss: 4.924435615539551
Batch: 14, Loss: 4.768385410308838

Epoch 999 out of 2000Batch: 1, Loss: 3.9408698081970215
Batch: 2, Loss: 3.5703506469726562
Batch: 3, Loss: 3.8482344150543213
Batch: 4, Loss: 3.925180196762085
Batch: 5, Loss: 3.465688467025757
Batch: 6, Loss: 3.6662189960479736
Batch: 7, Loss: 3.4464690685272217
Batch: 8, Loss: 3.604048013687134
Batch: 9, Loss: 3.5393664836883545
Batch: 10, Loss: 3.4419498443603516
Batch: 11, Loss: 3.6660635471343994
Batch: 12, Loss: 3.529163122177124
Batch: 13, Loss: 3.43109130859375
Batch: 14, Loss: 3.2181894779205322

Epoch 1000 out of 2000Batch: 1, Loss: 6.347308158874512
Batch: 2, Loss: 6.001410961151123
Batch: 3, Loss: 5.877782344818115
Batch: 4, Loss: 5.724664211273193
Batch: 5, Loss: 5.518352508544922
Batch: 6, Loss: 5.813362121582031
Batch: 7, Loss: 5.690929889678955
Batch: 8, Loss: 5.607827663421631
Batch: 9, Loss: 5.934665203094482
Batch: 10, Loss: 5.6435418128967285
Batch: 11, Loss: 5.725840091705322
Batch: 12, Loss: 5.639928817749023
Batch: 13, Loss: 5.505224227905273
Batch: 14, Loss: 5.848668575286865

Epoch 1001 out of 2000Batch: 1, Loss: 5.298928737640381
Batch: 2, Loss: 4.9150309562683105
Batch: 3, Loss: 5.251399993896484
Batch: 4, Loss: 4.645365238189697
Batch: 5, Loss: 5.188055515289307
Batch: 6, Loss: 5.457793712615967
Batch: 7, Loss: 5.484403610229492
Batch: 8, Loss: 5.104166507720947
Batch: 9, Loss: 5.233059883117676
Batch: 10, Loss: 5.375192165374756
Batch: 11, Loss: 5.409574031829834
Batch: 12, Loss: 5.189384937286377
Batch: 13, Loss: 5.297999382019043
Batch: 14, Loss: 5.321030139923096

Epoch 1002 out of 2000Batch: 1, Loss: 5.33811616897583
Batch: 2, Loss: 5.056170463562012
Batch: 3, Loss: 5.129615306854248
Batch: 4, Loss: 5.0816874504089355
Batch: 5, Loss: 5.187667369842529
Batch: 6, Loss: 5.239974498748779
Batch: 7, Loss: 5.4441142082214355
Batch: 8, Loss: 5.552884101867676
Batch: 9, Loss: 5.061439514160156
Batch: 10, Loss: 5.1340742111206055
Batch: 11, Loss: 5.50880241394043
Batch: 12, Loss: 5.467871189117432
Batch: 13, Loss: 5.4121294021606445
Batch: 14, Loss: 5.022002220153809

Epoch 1003 out of 2000Batch: 1, Loss: 4.63007116317749
Batch: 2, Loss: 4.663965702056885
Batch: 3, Loss: 4.7665696144104
Batch: 4, Loss: 4.4258270263671875
Batch: 5, Loss: 4.530668258666992
Batch: 6, Loss: 4.535951137542725
Batch: 7, Loss: 4.598145008087158
Batch: 8, Loss: 4.545423984527588
Batch: 9, Loss: 4.524893283843994
Batch: 10, Loss: 4.690684795379639
Batch: 11, Loss: 4.48381233215332
Batch: 12, Loss: 4.73328971862793
Batch: 13, Loss: 4.3895344734191895
Batch: 14, Loss: 5.080550193786621

Epoch 1004 out of 2000Batch: 1, Loss: 4.558926582336426
Batch: 2, Loss: 4.943107604980469
Batch: 3, Loss: 4.783009052276611
Batch: 4, Loss: 4.606899261474609
Batch: 5, Loss: 5.310907363891602
Batch: 6, Loss: 4.796764850616455
Batch: 7, Loss: 4.64424991607666
Batch: 8, Loss: 4.5443291664123535
Batch: 9, Loss: 4.696285724639893
Batch: 10, Loss: 4.531171798706055
Batch: 11, Loss: 4.837631702423096
Batch: 12, Loss: 4.912808895111084
Batch: 13, Loss: 5.2096452713012695
Batch: 14, Loss: 5.232517719268799

Epoch 1005 out of 2000Batch: 1, Loss: 4.874198913574219
Batch: 2, Loss: 5.005300045013428
Batch: 3, Loss: 4.4689788818359375
Batch: 4, Loss: 4.9000043869018555
Batch: 5, Loss: 4.767402172088623
Batch: 6, Loss: 4.897892475128174
Batch: 7, Loss: 4.662412166595459
Batch: 8, Loss: 4.550715923309326
Batch: 9, Loss: 4.7013750076293945
Batch: 10, Loss: 5.1983866691589355
Batch: 11, Loss: 4.533947944641113
Batch: 12, Loss: 4.6516194343566895
Batch: 13, Loss: 4.668524742126465
Batch: 14, Loss: 4.962302207946777

Epoch 1006 out of 2000Batch: 1, Loss: 4.971139907836914
Batch: 2, Loss: 5.4814252853393555
Batch: 3, Loss: 5.5747456550598145
Batch: 4, Loss: 5.612761974334717
Batch: 5, Loss: 5.375614643096924
Batch: 6, Loss: 5.065003395080566
Batch: 7, Loss: 5.478714942932129
Batch: 8, Loss: 5.220143795013428
Batch: 9, Loss: 5.394309997558594
Batch: 10, Loss: 5.462285041809082
Batch: 11, Loss: 5.172945022583008
Batch: 12, Loss: 5.515390396118164
Batch: 13, Loss: 4.791123867034912
Batch: 14, Loss: 4.841061115264893

Epoch 1007 out of 2000Batch: 1, Loss: 5.091038227081299
Batch: 2, Loss: 6.0285749435424805
Batch: 3, Loss: 5.896261215209961
Batch: 4, Loss: 5.656046390533447
Batch: 5, Loss: 5.910894870758057
Batch: 6, Loss: 5.312124729156494
Batch: 7, Loss: 6.273013114929199
Batch: 8, Loss: 4.904425144195557
Batch: 9, Loss: 5.664013862609863
Batch: 10, Loss: 5.558112621307373
Batch: 11, Loss: 5.826074123382568
Batch: 12, Loss: 5.682884693145752
Batch: 13, Loss: 5.454885005950928
Batch: 14, Loss: 5.878067493438721

Epoch 1008 out of 2000Batch: 1, Loss: 4.433590888977051
Batch: 2, Loss: 4.24142599105835
Batch: 3, Loss: 4.243044376373291
Batch: 4, Loss: 4.619434833526611
Batch: 5, Loss: 4.265923023223877
Batch: 6, Loss: 4.3050971031188965
Batch: 7, Loss: 4.425403594970703
Batch: 8, Loss: 4.363719463348389
Batch: 9, Loss: 4.199018955230713
Batch: 10, Loss: 3.935019016265869
Batch: 11, Loss: 4.097126483917236
Batch: 12, Loss: 4.29911470413208
Batch: 13, Loss: 4.189521312713623
Batch: 14, Loss: 4.26970100402832

Epoch 1009 out of 2000Batch: 1, Loss: 5.655032157897949
Batch: 2, Loss: 5.83588981628418
Batch: 3, Loss: 5.669444561004639
Batch: 4, Loss: 6.089662075042725
Batch: 5, Loss: 5.660155773162842
Batch: 6, Loss: 6.139729976654053
Batch: 7, Loss: 5.006411552429199
Batch: 8, Loss: 5.780471324920654
Batch: 9, Loss: 5.651708126068115
Batch: 10, Loss: 5.206788063049316
Batch: 11, Loss: 5.24728536605835
Batch: 12, Loss: 5.656777381896973
Batch: 13, Loss: 5.399819850921631
Batch: 14, Loss: 5.381468296051025

Epoch 1010 out of 2000Batch: 1, Loss: 5.500118732452393
Batch: 2, Loss: 5.869633197784424
Batch: 3, Loss: 5.137497425079346
Batch: 4, Loss: 5.226901531219482
Batch: 5, Loss: 5.333210468292236
Batch: 6, Loss: 5.015210151672363
Batch: 7, Loss: 5.283282279968262
Batch: 8, Loss: 5.226054668426514
Batch: 9, Loss: 5.240279197692871
Batch: 10, Loss: 5.827836036682129
Batch: 11, Loss: 4.857861042022705
Batch: 12, Loss: 5.169975280761719
Batch: 13, Loss: 5.097338676452637
Batch: 14, Loss: 5.307995796203613

Epoch 1011 out of 2000Batch: 1, Loss: 5.221253395080566
Batch: 2, Loss: 5.28670072555542
Batch: 3, Loss: 5.514313220977783
Batch: 4, Loss: 5.1689066886901855
Batch: 5, Loss: 5.568106174468994
Batch: 6, Loss: 4.8066534996032715
Batch: 7, Loss: 5.598936080932617
Batch: 8, Loss: 5.17008638381958
Batch: 9, Loss: 5.736415863037109
Batch: 10, Loss: 5.120486736297607
Batch: 11, Loss: 5.481012344360352
Batch: 12, Loss: 5.2921342849731445
Batch: 13, Loss: 6.054071426391602
Batch: 14, Loss: 5.285812854766846

Epoch 1012 out of 2000Batch: 1, Loss: 4.793998718261719
Batch: 2, Loss: 4.543811321258545
Batch: 3, Loss: 4.225386142730713
Batch: 4, Loss: 4.700956344604492
Batch: 5, Loss: 4.576572895050049
Batch: 6, Loss: 4.801327705383301
Batch: 7, Loss: 4.743337631225586
Batch: 8, Loss: 4.654499530792236
Batch: 9, Loss: 4.5164690017700195
Batch: 10, Loss: 4.561007499694824
Batch: 11, Loss: 4.508383274078369
Batch: 12, Loss: 4.743275165557861
Batch: 13, Loss: 4.183242321014404
Batch: 14, Loss: 4.186643600463867

Epoch 1013 out of 2000Batch: 1, Loss: 4.219719409942627
Batch: 2, Loss: 4.557445049285889
Batch: 3, Loss: 4.619286060333252
Batch: 4, Loss: 4.682196140289307
Batch: 5, Loss: 4.246270179748535
Batch: 6, Loss: 4.478394031524658
Batch: 7, Loss: 4.294336795806885
Batch: 8, Loss: 4.343927383422852
Batch: 9, Loss: 4.467369079589844
Batch: 10, Loss: 4.448153972625732
Batch: 11, Loss: 4.261716842651367
Batch: 12, Loss: 4.490785121917725
Batch: 13, Loss: 4.3211445808410645
Batch: 14, Loss: 4.310047626495361

Epoch 1014 out of 2000Batch: 1, Loss: 4.470445156097412
Batch: 2, Loss: 4.283447742462158
Batch: 3, Loss: 4.4758429527282715
Batch: 4, Loss: 3.732246160507202
Batch: 5, Loss: 4.531215190887451
Batch: 6, Loss: 4.689132213592529
Batch: 7, Loss: 4.442424297332764
Batch: 8, Loss: 4.217153549194336
Batch: 9, Loss: 4.012966632843018
Batch: 10, Loss: 4.336112976074219
Batch: 11, Loss: 4.320766925811768
Batch: 12, Loss: 4.2111945152282715
Batch: 13, Loss: 4.754665851593018
Batch: 14, Loss: 4.626321315765381

Epoch 1015 out of 2000Batch: 1, Loss: 6.328109264373779
Batch: 2, Loss: 5.6273722648620605
Batch: 3, Loss: 6.254520893096924
Batch: 4, Loss: 6.141333103179932
Batch: 5, Loss: 5.5834269523620605
Batch: 6, Loss: 6.122471332550049
Batch: 7, Loss: 6.253215789794922
Batch: 8, Loss: 5.793638706207275
Batch: 9, Loss: 5.957509517669678
Batch: 10, Loss: 5.938382625579834
Batch: 11, Loss: 5.6902594566345215
Batch: 12, Loss: 6.160686492919922
Batch: 13, Loss: 5.925256252288818
Batch: 14, Loss: 6.212981224060059

Epoch 1016 out of 2000Batch: 1, Loss: 5.319422245025635
Batch: 2, Loss: 5.182225704193115
Batch: 3, Loss: 5.240785121917725
Batch: 4, Loss: 5.421014308929443
Batch: 5, Loss: 5.347426891326904
Batch: 6, Loss: 5.374813556671143
Batch: 7, Loss: 5.055196285247803
Batch: 8, Loss: 4.964189052581787
Batch: 9, Loss: 5.678449630737305
Batch: 10, Loss: 5.105644226074219
Batch: 11, Loss: 5.579740524291992
Batch: 12, Loss: 4.975383281707764
Batch: 13, Loss: 5.462915897369385
Batch: 14, Loss: 5.362651824951172

Epoch 1017 out of 2000Batch: 1, Loss: 5.902795791625977
Batch: 2, Loss: 5.721826076507568
Batch: 3, Loss: 4.8727569580078125
Batch: 4, Loss: 5.773221969604492
Batch: 5, Loss: 5.672677040100098
Batch: 6, Loss: 5.6877570152282715
Batch: 7, Loss: 5.729318618774414
Batch: 8, Loss: 6.030386924743652
Batch: 9, Loss: 5.559185981750488
Batch: 10, Loss: 5.342918872833252
Batch: 11, Loss: 5.4544572830200195
Batch: 12, Loss: 5.03539514541626
Batch: 13, Loss: 5.862308025360107
Batch: 14, Loss: 5.343160629272461

Epoch 1018 out of 2000Batch: 1, Loss: 4.271721363067627
Batch: 2, Loss: 4.4928812980651855
Batch: 3, Loss: 4.600527286529541
Batch: 4, Loss: 4.350184917449951
Batch: 5, Loss: 4.524383068084717
Batch: 6, Loss: 4.420475959777832
Batch: 7, Loss: 4.697850227355957
Batch: 8, Loss: 4.141385555267334
Batch: 9, Loss: 4.15502405166626
Batch: 10, Loss: 4.370522499084473
Batch: 11, Loss: 4.364919662475586
Batch: 12, Loss: 4.164140224456787
Batch: 13, Loss: 4.058009624481201
Batch: 14, Loss: 4.17109489440918

Epoch 1019 out of 2000Batch: 1, Loss: 6.162245750427246
Batch: 2, Loss: 5.713523864746094
Batch: 3, Loss: 6.071354389190674
Batch: 4, Loss: 5.763753414154053
Batch: 5, Loss: 5.722586631774902
Batch: 6, Loss: 5.70338773727417
Batch: 7, Loss: 5.669720649719238
Batch: 8, Loss: 5.718258857727051
Batch: 9, Loss: 5.527684211730957
Batch: 10, Loss: 5.326911926269531
Batch: 11, Loss: 5.250319480895996
Batch: 12, Loss: 5.7635602951049805
Batch: 13, Loss: 5.51419734954834
Batch: 14, Loss: 5.650033950805664

Epoch 1020 out of 2000Batch: 1, Loss: 5.111776351928711
Batch: 2, Loss: 5.041568279266357
Batch: 3, Loss: 5.097126483917236
Batch: 4, Loss: 4.882805824279785
Batch: 5, Loss: 4.652215957641602
Batch: 6, Loss: 4.903769493103027
Batch: 7, Loss: 4.9697089195251465
Batch: 8, Loss: 4.8328986167907715
Batch: 9, Loss: 5.007171630859375
Batch: 10, Loss: 5.102731704711914
Batch: 11, Loss: 4.830070495605469
Batch: 12, Loss: 4.525329113006592
Batch: 13, Loss: 4.509035110473633
Batch: 14, Loss: 4.674609184265137

Epoch 1021 out of 2000Batch: 1, Loss: 4.7025065422058105
Batch: 2, Loss: 4.931088447570801
Batch: 3, Loss: 5.1559858322143555
Batch: 4, Loss: 4.837804794311523
Batch: 5, Loss: 4.851853370666504
Batch: 6, Loss: 4.9229631423950195
Batch: 7, Loss: 4.839687824249268
Batch: 8, Loss: 4.948472499847412
Batch: 9, Loss: 5.084439754486084
Batch: 10, Loss: 4.901947021484375
Batch: 11, Loss: 5.100972652435303
Batch: 12, Loss: 4.906625747680664
Batch: 13, Loss: 5.086649417877197
Batch: 14, Loss: 5.237501621246338

Epoch 1022 out of 2000Batch: 1, Loss: 5.147090911865234
Batch: 2, Loss: 5.039424896240234
Batch: 3, Loss: 4.636993408203125
Batch: 4, Loss: 4.6399054527282715
Batch: 5, Loss: 5.2285332679748535
Batch: 6, Loss: 4.99258279800415
Batch: 7, Loss: 4.688547611236572
Batch: 8, Loss: 4.784549713134766
Batch: 9, Loss: 4.889847755432129
Batch: 10, Loss: 4.684674263000488
Batch: 11, Loss: 4.585803031921387
Batch: 12, Loss: 4.940776824951172
Batch: 13, Loss: 4.840973854064941
Batch: 14, Loss: 5.0552167892456055

Epoch 1023 out of 2000Batch: 1, Loss: 3.7716734409332275
Batch: 2, Loss: 3.829901695251465
Batch: 3, Loss: 3.669957160949707
Batch: 4, Loss: 3.728065013885498
Batch: 5, Loss: 3.64328932762146
Batch: 6, Loss: 3.6203019618988037
Batch: 7, Loss: 3.618760585784912
Batch: 8, Loss: 3.561645984649658
Batch: 9, Loss: 3.7394659519195557
Batch: 10, Loss: 3.275404214859009
Batch: 11, Loss: 3.564584493637085
Batch: 12, Loss: 3.0800211429595947
Batch: 13, Loss: 3.4805819988250732
Batch: 14, Loss: 3.3287174701690674

Epoch 1024 out of 2000Batch: 1, Loss: 6.048720359802246
Batch: 2, Loss: 5.561123847961426
Batch: 3, Loss: 5.529602527618408
Batch: 4, Loss: 5.5494489669799805
Batch: 5, Loss: 6.079920768737793
Batch: 6, Loss: 5.701086044311523
Batch: 7, Loss: 5.698050022125244
Batch: 8, Loss: 5.262192726135254
Batch: 9, Loss: 5.47356653213501
Batch: 10, Loss: 5.594189643859863
Batch: 11, Loss: 5.147055625915527
Batch: 12, Loss: 5.423739433288574
Batch: 13, Loss: 5.551069259643555
Batch: 14, Loss: 4.848729610443115

Epoch 1025 out of 2000Batch: 1, Loss: 4.877528190612793
Batch: 2, Loss: 5.367812633514404
Batch: 3, Loss: 5.4453325271606445
Batch: 4, Loss: 5.241886615753174
Batch: 5, Loss: 5.206057071685791
Batch: 6, Loss: 5.3864216804504395
Batch: 7, Loss: 5.307697296142578
Batch: 8, Loss: 4.970317840576172
Batch: 9, Loss: 5.31129264831543
Batch: 10, Loss: 5.1912055015563965
Batch: 11, Loss: 4.91841983795166
Batch: 12, Loss: 4.825727462768555
Batch: 13, Loss: 5.085912704467773
Batch: 14, Loss: 5.110352039337158

Epoch 1026 out of 2000Batch: 1, Loss: 4.072431564331055
Batch: 2, Loss: 4.674208164215088
Batch: 3, Loss: 4.559352874755859
Batch: 4, Loss: 4.2815351486206055
Batch: 5, Loss: 4.241535663604736
Batch: 6, Loss: 4.264794826507568
Batch: 7, Loss: 4.329466342926025
Batch: 8, Loss: 4.392516613006592
Batch: 9, Loss: 4.260482311248779
Batch: 10, Loss: 4.319945335388184
Batch: 11, Loss: 4.389040946960449
Batch: 12, Loss: 4.645657062530518
Batch: 13, Loss: 4.033952713012695
Batch: 14, Loss: 4.792744159698486

Epoch 1027 out of 2000Batch: 1, Loss: 4.046097278594971
Batch: 2, Loss: 3.9075140953063965
Batch: 3, Loss: 3.7668838500976562
Batch: 4, Loss: 4.062847137451172
Batch: 5, Loss: 3.818675994873047
Batch: 6, Loss: 3.547243356704712
Batch: 7, Loss: 3.850590705871582
Batch: 8, Loss: 3.8496651649475098
Batch: 9, Loss: 3.658967971801758
Batch: 10, Loss: 3.9720730781555176
Batch: 11, Loss: 3.728095769882202
Batch: 12, Loss: 3.7952988147735596
Batch: 13, Loss: 3.132858991622925
Batch: 14, Loss: 3.828616142272949

Epoch 1028 out of 2000Batch: 1, Loss: 5.767076015472412
Batch: 2, Loss: 5.181252956390381
Batch: 3, Loss: 5.002772808074951
Batch: 4, Loss: 5.24113130569458
Batch: 5, Loss: 5.105950355529785
Batch: 6, Loss: 5.452226638793945
Batch: 7, Loss: 5.1401872634887695
Batch: 8, Loss: 5.133808135986328
Batch: 9, Loss: 5.625032901763916
Batch: 10, Loss: 5.402421474456787
Batch: 11, Loss: 5.32853889465332
Batch: 12, Loss: 5.370353698730469
Batch: 13, Loss: 5.498396873474121
Batch: 14, Loss: 5.1160807609558105

Epoch 1029 out of 2000Batch: 1, Loss: 5.603732109069824
Batch: 2, Loss: 5.3912811279296875
Batch: 3, Loss: 5.63722038269043
Batch: 4, Loss: 5.58182430267334
Batch: 5, Loss: 5.3480305671691895
Batch: 6, Loss: 5.382532119750977
Batch: 7, Loss: 5.545190334320068
Batch: 8, Loss: 5.506997585296631
Batch: 9, Loss: 5.5911102294921875
Batch: 10, Loss: 5.390556335449219
Batch: 11, Loss: 5.747706413269043
Batch: 12, Loss: 5.231729030609131
Batch: 13, Loss: 5.85150671005249
Batch: 14, Loss: 5.4091668128967285

Epoch 1030 out of 2000Batch: 1, Loss: 5.772027015686035
Batch: 2, Loss: 5.766580104827881
Batch: 3, Loss: 5.40528678894043
Batch: 4, Loss: 6.1140851974487305
Batch: 5, Loss: 5.972653865814209
Batch: 6, Loss: 5.4026031494140625
Batch: 7, Loss: 5.530466079711914
Batch: 8, Loss: 6.148746013641357
Batch: 9, Loss: 5.433322429656982
Batch: 10, Loss: 5.576704025268555
Batch: 11, Loss: 5.858375072479248
Batch: 12, Loss: 6.0220112800598145
Batch: 13, Loss: 5.854883670806885
Batch: 14, Loss: 5.9946980476379395

Epoch 1031 out of 2000Batch: 1, Loss: 5.187571048736572
Batch: 2, Loss: 5.112889289855957
Batch: 3, Loss: 4.723238468170166
Batch: 4, Loss: 5.167501926422119
Batch: 5, Loss: 4.92145299911499
Batch: 6, Loss: 4.9819111824035645
Batch: 7, Loss: 4.989523887634277
Batch: 8, Loss: 5.11502742767334
Batch: 9, Loss: 4.676455497741699
Batch: 10, Loss: 4.724388599395752
Batch: 11, Loss: 4.896589756011963
Batch: 12, Loss: 5.201966762542725
Batch: 13, Loss: 4.892940044403076
Batch: 14, Loss: 4.5756354331970215

Epoch 1032 out of 2000Batch: 1, Loss: 4.623946189880371
Batch: 2, Loss: 4.623899936676025
Batch: 3, Loss: 4.012578010559082
Batch: 4, Loss: 4.684698581695557
Batch: 5, Loss: 4.513195037841797
Batch: 6, Loss: 4.403738021850586
Batch: 7, Loss: 4.150857925415039
Batch: 8, Loss: 4.291590690612793
Batch: 9, Loss: 4.5447869300842285
Batch: 10, Loss: 4.240934371948242
Batch: 11, Loss: 4.501416206359863
Batch: 12, Loss: 4.641473770141602
Batch: 13, Loss: 4.238961219787598
Batch: 14, Loss: 3.8830726146698

Epoch 1033 out of 2000Batch: 1, Loss: 5.567901134490967
Batch: 2, Loss: 5.679732322692871
Batch: 3, Loss: 5.649704456329346
Batch: 4, Loss: 5.766889572143555
Batch: 5, Loss: 5.033596038818359
Batch: 6, Loss: 5.253686428070068
Batch: 7, Loss: 5.471285343170166
Batch: 8, Loss: 5.4542317390441895
Batch: 9, Loss: 5.4213480949401855
Batch: 10, Loss: 5.571250915527344
Batch: 11, Loss: 5.117011547088623
Batch: 12, Loss: 5.06985330581665
Batch: 13, Loss: 5.208852291107178
Batch: 14, Loss: 4.9934773445129395

Epoch 1034 out of 2000Batch: 1, Loss: 5.597445011138916
Batch: 2, Loss: 5.302629470825195
Batch: 3, Loss: 5.722335338592529
Batch: 4, Loss: 5.800658702850342
Batch: 5, Loss: 5.39337682723999
Batch: 6, Loss: 5.594878673553467
Batch: 7, Loss: 5.812018394470215
Batch: 8, Loss: 5.935615539550781
Batch: 9, Loss: 5.642372131347656
Batch: 10, Loss: 6.081089019775391
Batch: 11, Loss: 5.352710247039795
Batch: 12, Loss: 5.75953483581543
Batch: 13, Loss: 6.075371265411377
Batch: 14, Loss: 6.069102764129639

Epoch 1035 out of 2000Batch: 1, Loss: 5.367879867553711
Batch: 2, Loss: 5.345439434051514
Batch: 3, Loss: 5.1867499351501465
Batch: 4, Loss: 5.266021251678467
Batch: 5, Loss: 5.394286632537842
Batch: 6, Loss: 4.9870285987854
Batch: 7, Loss: 5.247820854187012
Batch: 8, Loss: 5.2089715003967285
Batch: 9, Loss: 5.518226146697998
Batch: 10, Loss: 5.246291160583496
Batch: 11, Loss: 5.420465469360352
Batch: 12, Loss: 5.4616217613220215
Batch: 13, Loss: 5.109614372253418
Batch: 14, Loss: 4.850175857543945

Epoch 1036 out of 2000Batch: 1, Loss: 5.7607574462890625
Batch: 2, Loss: 5.23565673828125
Batch: 3, Loss: 5.295543193817139
Batch: 4, Loss: 5.422388553619385
Batch: 5, Loss: 5.514594078063965
Batch: 6, Loss: 5.598634243011475
Batch: 7, Loss: 5.39259147644043
Batch: 8, Loss: 5.22613525390625
Batch: 9, Loss: 5.231510162353516
Batch: 10, Loss: 5.448696136474609
Batch: 11, Loss: 5.703273773193359
Batch: 12, Loss: 4.723903179168701
Batch: 13, Loss: 4.826848983764648
Batch: 14, Loss: 5.866617202758789

Epoch 1037 out of 2000Batch: 1, Loss: 5.338973045349121
Batch: 2, Loss: 5.057272434234619
Batch: 3, Loss: 5.17852258682251
Batch: 4, Loss: 5.021212100982666
Batch: 5, Loss: 5.155383586883545
Batch: 6, Loss: 4.867048263549805
Batch: 7, Loss: 5.1384077072143555
Batch: 8, Loss: 4.93479061126709
Batch: 9, Loss: 5.170230388641357
Batch: 10, Loss: 5.1383562088012695
Batch: 11, Loss: 5.384315013885498
Batch: 12, Loss: 5.003803730010986
Batch: 13, Loss: 5.144039630889893
Batch: 14, Loss: 5.841907501220703

Epoch 1038 out of 2000Batch: 1, Loss: 5.803109169006348
Batch: 2, Loss: 6.009475231170654
Batch: 3, Loss: 5.76676082611084
Batch: 4, Loss: 5.234095573425293
Batch: 5, Loss: 5.593872547149658
Batch: 6, Loss: 5.636056900024414
Batch: 7, Loss: 5.5548200607299805
Batch: 8, Loss: 5.995841979980469
Batch: 9, Loss: 5.215558052062988
Batch: 10, Loss: 5.029560565948486
Batch: 11, Loss: 5.631808280944824
Batch: 12, Loss: 5.224221229553223
Batch: 13, Loss: 5.69769287109375
Batch: 14, Loss: 5.573547840118408

Epoch 1039 out of 2000Batch: 1, Loss: 4.750825881958008
Batch: 2, Loss: 4.740821838378906
Batch: 3, Loss: 4.729947566986084
Batch: 4, Loss: 4.801895618438721
Batch: 5, Loss: 4.483398914337158
Batch: 6, Loss: 4.886812210083008
Batch: 7, Loss: 4.510925769805908
Batch: 8, Loss: 4.650017261505127
Batch: 9, Loss: 4.800144195556641
Batch: 10, Loss: 4.189558982849121
Batch: 11, Loss: 4.952891826629639
Batch: 12, Loss: 4.479587078094482
Batch: 13, Loss: 4.632943153381348
Batch: 14, Loss: 4.624075412750244

Epoch 1040 out of 2000Batch: 1, Loss: 5.81653356552124
Batch: 2, Loss: 5.616415977478027
Batch: 3, Loss: 5.5500993728637695
Batch: 4, Loss: 5.777687072753906
Batch: 5, Loss: 5.243099689483643
Batch: 6, Loss: 5.877552032470703
Batch: 7, Loss: 5.483600616455078
Batch: 8, Loss: 5.975845813751221
Batch: 9, Loss: 5.362527370452881
Batch: 10, Loss: 4.833530902862549
Batch: 11, Loss: 5.577199459075928
Batch: 12, Loss: 5.485194683074951
Batch: 13, Loss: 5.493241786956787
Batch: 14, Loss: 5.536333084106445

Epoch 1041 out of 2000Batch: 1, Loss: 4.2154998779296875
Batch: 2, Loss: 4.29074239730835
Batch: 3, Loss: 4.389371871948242
Batch: 4, Loss: 4.203482151031494
Batch: 5, Loss: 4.029848575592041
Batch: 6, Loss: 4.476337909698486
Batch: 7, Loss: 4.738761901855469
Batch: 8, Loss: 4.293031692504883
Batch: 9, Loss: 4.345989227294922
Batch: 10, Loss: 4.246638298034668
Batch: 11, Loss: 4.3755784034729
Batch: 12, Loss: 4.346310138702393
Batch: 13, Loss: 4.264327526092529
Batch: 14, Loss: 4.333404541015625

Epoch 1042 out of 2000Batch: 1, Loss: 6.2135539054870605
Batch: 2, Loss: 5.644748210906982
Batch: 3, Loss: 5.761148452758789
Batch: 4, Loss: 6.209747314453125
Batch: 5, Loss: 5.656918048858643
Batch: 6, Loss: 5.4579901695251465
Batch: 7, Loss: 5.442038536071777
Batch: 8, Loss: 5.831857204437256
Batch: 9, Loss: 5.773571014404297
Batch: 10, Loss: 5.532558441162109
Batch: 11, Loss: 5.589440822601318
Batch: 12, Loss: 5.717480659484863
Batch: 13, Loss: 5.800673007965088
Batch: 14, Loss: 4.827075004577637

Epoch 1043 out of 2000Batch: 1, Loss: 4.846431255340576
Batch: 2, Loss: 4.721429824829102
Batch: 3, Loss: 4.5803070068359375
Batch: 4, Loss: 4.896624565124512
Batch: 5, Loss: 4.517712593078613
Batch: 6, Loss: 4.48452091217041
Batch: 7, Loss: 4.624881267547607
Batch: 8, Loss: 4.59790563583374
Batch: 9, Loss: 4.580637454986572
Batch: 10, Loss: 4.94591760635376
Batch: 11, Loss: 4.42353630065918
Batch: 12, Loss: 4.372230052947998
Batch: 13, Loss: 4.479928016662598
Batch: 14, Loss: 4.869346618652344

Epoch 1044 out of 2000Batch: 1, Loss: 5.696954250335693
Batch: 2, Loss: 5.476138591766357
Batch: 3, Loss: 5.492412090301514
Batch: 4, Loss: 5.475282192230225
Batch: 5, Loss: 5.86132287979126
Batch: 6, Loss: 5.001946926116943
Batch: 7, Loss: 5.318828582763672
Batch: 8, Loss: 5.356658935546875
Batch: 9, Loss: 5.258548736572266
Batch: 10, Loss: 5.358426570892334
Batch: 11, Loss: 5.583668231964111
Batch: 12, Loss: 5.331684589385986
Batch: 13, Loss: 5.444430828094482
Batch: 14, Loss: 5.029329776763916

Epoch 1045 out of 2000Batch: 1, Loss: 5.745558738708496
Batch: 2, Loss: 5.351487159729004
Batch: 3, Loss: 5.902037143707275
Batch: 4, Loss: 5.179723739624023
Batch: 5, Loss: 5.344888210296631
Batch: 6, Loss: 5.616263389587402
Batch: 7, Loss: 5.814047813415527
Batch: 8, Loss: 5.425459861755371
Batch: 9, Loss: 5.328556060791016
Batch: 10, Loss: 5.767940044403076
Batch: 11, Loss: 6.025492191314697
Batch: 12, Loss: 5.519958019256592
Batch: 13, Loss: 5.480347156524658
Batch: 14, Loss: 5.275030612945557

Epoch 1046 out of 2000Batch: 1, Loss: 5.332606792449951
Batch: 2, Loss: 5.199397087097168
Batch: 3, Loss: 5.235146522521973
Batch: 4, Loss: 5.305548191070557
Batch: 5, Loss: 5.244393825531006
Batch: 6, Loss: 4.969459533691406
Batch: 7, Loss: 5.039195537567139
Batch: 8, Loss: 5.296209812164307
Batch: 9, Loss: 4.756327152252197
Batch: 10, Loss: 5.201298713684082
Batch: 11, Loss: 4.593562126159668
Batch: 12, Loss: 5.154661178588867
Batch: 13, Loss: 5.3065080642700195
Batch: 14, Loss: 4.977165699005127

Epoch 1047 out of 2000Batch: 1, Loss: 4.941129207611084
Batch: 2, Loss: 4.887042999267578
Batch: 3, Loss: 5.193700790405273
Batch: 4, Loss: 5.267971038818359
Batch: 5, Loss: 5.155412673950195
Batch: 6, Loss: 4.655289649963379
Batch: 7, Loss: 5.0316619873046875
Batch: 8, Loss: 4.785294055938721
Batch: 9, Loss: 4.829631328582764
Batch: 10, Loss: 4.268255710601807
Batch: 11, Loss: 4.910898685455322
Batch: 12, Loss: 4.843674182891846
Batch: 13, Loss: 5.031811714172363
Batch: 14, Loss: 5.02009916305542

Epoch 1048 out of 2000Batch: 1, Loss: 5.338341236114502
Batch: 2, Loss: 5.255476474761963
Batch: 3, Loss: 5.540493488311768
Batch: 4, Loss: 5.3714280128479
Batch: 5, Loss: 5.6146626472473145
Batch: 6, Loss: 4.970124244689941
Batch: 7, Loss: 5.332717418670654
Batch: 8, Loss: 5.717228412628174
Batch: 9, Loss: 5.265246391296387
Batch: 10, Loss: 5.375058650970459
Batch: 11, Loss: 5.4560089111328125
Batch: 12, Loss: 5.359844207763672
Batch: 13, Loss: 5.499362945556641
Batch: 14, Loss: 5.046085834503174

Epoch 1049 out of 2000Batch: 1, Loss: 5.914175033569336
Batch: 2, Loss: 5.938455581665039
Batch: 3, Loss: 5.653600215911865
Batch: 4, Loss: 5.478060722351074
Batch: 5, Loss: 5.498517990112305
Batch: 6, Loss: 5.4843363761901855
Batch: 7, Loss: 5.97606086730957
Batch: 8, Loss: 5.756146430969238
Batch: 9, Loss: 5.851740837097168
Batch: 10, Loss: 5.939172267913818
Batch: 11, Loss: 5.900818347930908
Batch: 12, Loss: 5.784902095794678
Batch: 13, Loss: 5.685366630554199
Batch: 14, Loss: 5.817117691040039

Epoch 1050 out of 2000Batch: 1, Loss: 4.329825401306152
Batch: 2, Loss: 4.368802070617676
Batch: 3, Loss: 4.758261203765869
Batch: 4, Loss: 4.44406270980835
Batch: 5, Loss: 4.45364236831665
Batch: 6, Loss: 4.8885111808776855
Batch: 7, Loss: 4.881862163543701
Batch: 8, Loss: 4.534383296966553
Batch: 9, Loss: 4.313567161560059
Batch: 10, Loss: 4.492137908935547
Batch: 11, Loss: 4.509902000427246
Batch: 12, Loss: 4.142975330352783
Batch: 13, Loss: 4.4202046394348145
Batch: 14, Loss: 3.985537052154541

Epoch 1051 out of 2000Batch: 1, Loss: 6.2707600593566895
Batch: 2, Loss: 5.6284308433532715
Batch: 3, Loss: 5.662414073944092
Batch: 4, Loss: 5.7224626541137695
Batch: 5, Loss: 5.750250816345215
Batch: 6, Loss: 5.157180309295654
Batch: 7, Loss: 5.732362270355225
Batch: 8, Loss: 5.325077533721924
Batch: 9, Loss: 5.6616082191467285
Batch: 10, Loss: 6.094535827636719
Batch: 11, Loss: 5.73581600189209
Batch: 12, Loss: 5.499527454376221
Batch: 13, Loss: 5.4125165939331055
Batch: 14, Loss: 5.603304386138916

Epoch 1052 out of 2000Batch: 1, Loss: 6.283875465393066
Batch: 2, Loss: 6.126092910766602
Batch: 3, Loss: 5.380345344543457
Batch: 4, Loss: 5.963123798370361
Batch: 5, Loss: 5.904514312744141
Batch: 6, Loss: 5.92080020904541
Batch: 7, Loss: 5.7294416427612305
Batch: 8, Loss: 5.933865070343018
Batch: 9, Loss: 5.587517261505127
Batch: 10, Loss: 5.864556789398193
Batch: 11, Loss: 5.649171829223633
Batch: 12, Loss: 5.667294025421143
Batch: 13, Loss: 5.682144641876221
Batch: 14, Loss: 6.4102396965026855

Epoch 1053 out of 2000Batch: 1, Loss: 4.722531318664551
Batch: 2, Loss: 4.617537021636963
Batch: 3, Loss: 4.698672771453857
Batch: 4, Loss: 4.714550018310547
Batch: 5, Loss: 4.502274513244629
Batch: 6, Loss: 4.413622856140137
Batch: 7, Loss: 4.579024314880371
Batch: 8, Loss: 4.446061134338379
Batch: 9, Loss: 4.235415935516357
Batch: 10, Loss: 4.208346843719482
Batch: 11, Loss: 4.584928035736084
Batch: 12, Loss: 4.20212984085083
Batch: 13, Loss: 4.265242576599121
Batch: 14, Loss: 4.208560943603516

Epoch 1054 out of 2000Batch: 1, Loss: 5.492181301116943
Batch: 2, Loss: 5.451999664306641
Batch: 3, Loss: 5.722879886627197
Batch: 4, Loss: 5.524452209472656
Batch: 5, Loss: 5.314148426055908
Batch: 6, Loss: 5.423986434936523
Batch: 7, Loss: 5.696739196777344
Batch: 8, Loss: 5.510454177856445
Batch: 9, Loss: 5.348879814147949
Batch: 10, Loss: 5.983284950256348
Batch: 11, Loss: 5.605763912200928
Batch: 12, Loss: 5.272050380706787
Batch: 13, Loss: 4.967679500579834
Batch: 14, Loss: 5.355483055114746

Epoch 1055 out of 2000Batch: 1, Loss: 5.766715049743652
Batch: 2, Loss: 5.561333179473877
Batch: 3, Loss: 5.72873592376709
Batch: 4, Loss: 5.856042385101318
Batch: 5, Loss: 6.044888019561768
Batch: 6, Loss: 6.111531734466553
Batch: 7, Loss: 5.682102680206299
Batch: 8, Loss: 5.717260360717773
Batch: 9, Loss: 5.402297019958496
Batch: 10, Loss: 5.596264362335205
Batch: 11, Loss: 5.972439289093018
Batch: 12, Loss: 5.282256126403809
Batch: 13, Loss: 5.1776628494262695
Batch: 14, Loss: 5.434316635131836

Epoch 1056 out of 2000Batch: 1, Loss: 5.162613868713379
Batch: 2, Loss: 5.383842945098877
Batch: 3, Loss: 5.508571147918701
Batch: 4, Loss: 4.965061664581299
Batch: 5, Loss: 5.347621917724609
Batch: 6, Loss: 5.244778156280518
Batch: 7, Loss: 5.491281986236572
Batch: 8, Loss: 5.274595260620117
Batch: 9, Loss: 5.299575328826904
Batch: 10, Loss: 5.420835494995117
Batch: 11, Loss: 5.749612331390381
Batch: 12, Loss: 5.777379989624023
Batch: 13, Loss: 5.325150012969971
Batch: 14, Loss: 5.670299530029297

Epoch 1057 out of 2000Batch: 1, Loss: 5.244521617889404
Batch: 2, Loss: 4.793998718261719
Batch: 3, Loss: 5.490696430206299
Batch: 4, Loss: 5.102959156036377
Batch: 5, Loss: 5.03794002532959
Batch: 6, Loss: 4.8616042137146
Batch: 7, Loss: 5.238612651824951
Batch: 8, Loss: 4.667294502258301
Batch: 9, Loss: 4.627906322479248
Batch: 10, Loss: 5.050450801849365
Batch: 11, Loss: 5.110320091247559
Batch: 12, Loss: 5.187994003295898
Batch: 13, Loss: 4.967008113861084
Batch: 14, Loss: 5.245635032653809

Epoch 1058 out of 2000Batch: 1, Loss: 3.8452649116516113
Batch: 2, Loss: 3.7077295780181885
Batch: 3, Loss: 4.096411228179932
Batch: 4, Loss: 4.263432502746582
Batch: 5, Loss: 3.80631685256958
Batch: 6, Loss: 4.0700836181640625
Batch: 7, Loss: 4.2653584480285645
Batch: 8, Loss: 3.9325249195098877
Batch: 9, Loss: 3.7781007289886475
Batch: 10, Loss: 4.022103786468506
Batch: 11, Loss: 3.316018581390381
Batch: 12, Loss: 3.5361552238464355
Batch: 13, Loss: 4.196516513824463
Batch: 14, Loss: 3.750802755355835

Epoch 1059 out of 2000Batch: 1, Loss: 5.234927654266357
Batch: 2, Loss: 5.302274703979492
Batch: 3, Loss: 5.073678016662598
Batch: 4, Loss: 4.627936840057373
Batch: 5, Loss: 5.342109203338623
Batch: 6, Loss: 4.414699554443359
Batch: 7, Loss: 4.849709987640381
Batch: 8, Loss: 4.700623512268066
Batch: 9, Loss: 4.959495544433594
Batch: 10, Loss: 4.656924724578857
Batch: 11, Loss: 4.720916271209717
Batch: 12, Loss: 4.921544551849365
Batch: 13, Loss: 4.988937854766846
Batch: 14, Loss: 4.543045520782471

Epoch 1060 out of 2000Batch: 1, Loss: 5.447486877441406
Batch: 2, Loss: 5.247434139251709
Batch: 3, Loss: 5.252274990081787
Batch: 4, Loss: 4.823668956756592
Batch: 5, Loss: 4.928204536437988
Batch: 6, Loss: 4.880890846252441
Batch: 7, Loss: 5.123352527618408
Batch: 8, Loss: 5.095265865325928
Batch: 9, Loss: 5.25465202331543
Batch: 10, Loss: 5.319041728973389
Batch: 11, Loss: 5.048813819885254
Batch: 12, Loss: 4.909124851226807
Batch: 13, Loss: 5.062828063964844
Batch: 14, Loss: 5.269152641296387

Epoch 1061 out of 2000Batch: 1, Loss: 5.60750150680542
Batch: 2, Loss: 5.398157119750977
Batch: 3, Loss: 5.4996819496154785
Batch: 4, Loss: 5.401844501495361
Batch: 5, Loss: 6.189707279205322
Batch: 6, Loss: 5.489469051361084
Batch: 7, Loss: 5.567358493804932
Batch: 8, Loss: 5.547488212585449
Batch: 9, Loss: 5.717955589294434
Batch: 10, Loss: 5.762057304382324
Batch: 11, Loss: 5.524014472961426
Batch: 12, Loss: 5.5131707191467285
Batch: 13, Loss: 5.543390274047852
Batch: 14, Loss: 5.3965325355529785

Epoch 1062 out of 2000Batch: 1, Loss: 4.574153423309326
Batch: 2, Loss: 4.38861083984375
Batch: 3, Loss: 4.781438827514648
Batch: 4, Loss: 4.649211406707764
Batch: 5, Loss: 3.9420440196990967
Batch: 6, Loss: 4.792048454284668
Batch: 7, Loss: 4.414000034332275
Batch: 8, Loss: 4.69706916809082
Batch: 9, Loss: 3.908944845199585
Batch: 10, Loss: 4.412662982940674
Batch: 11, Loss: 4.244713306427002
Batch: 12, Loss: 4.4308624267578125
Batch: 13, Loss: 4.374149322509766
Batch: 14, Loss: 4.401524543762207

Epoch 1063 out of 2000Batch: 1, Loss: 5.333077907562256
Batch: 2, Loss: 5.371861934661865
Batch: 3, Loss: 4.987717628479004
Batch: 4, Loss: 5.498009204864502
Batch: 5, Loss: 5.369825839996338
Batch: 6, Loss: 5.349215030670166
Batch: 7, Loss: 5.481298446655273
Batch: 8, Loss: 5.4501543045043945
Batch: 9, Loss: 4.785911560058594
Batch: 10, Loss: 5.354689121246338
Batch: 11, Loss: 5.472524166107178
Batch: 12, Loss: 5.575260162353516
Batch: 13, Loss: 5.4062347412109375
Batch: 14, Loss: 5.329054355621338

Epoch 1064 out of 2000Batch: 1, Loss: 4.553677082061768
Batch: 2, Loss: 4.71074104309082
Batch: 3, Loss: 4.908459186553955
Batch: 4, Loss: 4.665928363800049
Batch: 5, Loss: 4.836617946624756
Batch: 6, Loss: 5.1535773277282715
Batch: 7, Loss: 4.493295669555664
Batch: 8, Loss: 4.591602325439453
Batch: 9, Loss: 4.688307762145996
Batch: 10, Loss: 4.761665344238281
Batch: 11, Loss: 4.827496528625488
Batch: 12, Loss: 4.667480945587158
Batch: 13, Loss: 4.880974769592285
Batch: 14, Loss: 4.926854610443115

Epoch 1065 out of 2000Batch: 1, Loss: 5.116201877593994
Batch: 2, Loss: 4.990227699279785
Batch: 3, Loss: 4.441962242126465
Batch: 4, Loss: 4.958826065063477
Batch: 5, Loss: 5.107209205627441
Batch: 6, Loss: 5.475533485412598
Batch: 7, Loss: 5.409910202026367
Batch: 8, Loss: 5.155791282653809
Batch: 9, Loss: 5.417551040649414
Batch: 10, Loss: 5.126773357391357
Batch: 11, Loss: 5.514071941375732
Batch: 12, Loss: 5.168935775756836
Batch: 13, Loss: 5.241614818572998
Batch: 14, Loss: 5.327753067016602

Epoch 1066 out of 2000Batch: 1, Loss: 4.549426078796387
Batch: 2, Loss: 4.621809959411621
Batch: 3, Loss: 4.743737697601318
Batch: 4, Loss: 4.323679447174072
Batch: 5, Loss: 4.718947887420654
Batch: 6, Loss: 4.838161468505859
Batch: 7, Loss: 5.225507736206055
Batch: 8, Loss: 4.586491584777832
Batch: 9, Loss: 4.905337810516357
Batch: 10, Loss: 4.390936374664307
Batch: 11, Loss: 4.1559224128723145
Batch: 12, Loss: 4.539531707763672
Batch: 13, Loss: 4.805202960968018
Batch: 14, Loss: 4.814040184020996

Epoch 1067 out of 2000Batch: 1, Loss: 4.498907566070557
Batch: 2, Loss: 4.391085624694824
Batch: 3, Loss: 4.367073059082031
Batch: 4, Loss: 4.289732933044434
Batch: 5, Loss: 4.634520530700684
Batch: 6, Loss: 4.152976989746094
Batch: 7, Loss: 4.360390663146973
Batch: 8, Loss: 4.306676387786865
Batch: 9, Loss: 4.599381446838379
Batch: 10, Loss: 4.431515216827393
Batch: 11, Loss: 4.130432605743408
Batch: 12, Loss: 4.25204610824585
Batch: 13, Loss: 3.8612117767333984
Batch: 14, Loss: 4.0470685958862305

Epoch 1068 out of 2000Batch: 1, Loss: 4.669787883758545
Batch: 2, Loss: 4.884501934051514
Batch: 3, Loss: 4.866729259490967
Batch: 4, Loss: 4.690459728240967
Batch: 5, Loss: 4.5060200691223145
Batch: 6, Loss: 4.762549877166748
Batch: 7, Loss: 4.746858596801758
Batch: 8, Loss: 4.902218818664551
Batch: 9, Loss: 4.457260608673096
Batch: 10, Loss: 5.108511447906494
Batch: 11, Loss: 4.800380706787109
Batch: 12, Loss: 4.426285743713379
Batch: 13, Loss: 4.2322587966918945
Batch: 14, Loss: 4.07342004776001

Epoch 1069 out of 2000Batch: 1, Loss: 4.2066450119018555
Batch: 2, Loss: 4.501660346984863
Batch: 3, Loss: 4.513200283050537
Batch: 4, Loss: 4.036703586578369
Batch: 5, Loss: 4.294927597045898
Batch: 6, Loss: 4.199474334716797
Batch: 7, Loss: 3.856348752975464
Batch: 8, Loss: 4.3455023765563965
Batch: 9, Loss: 4.297464370727539
Batch: 10, Loss: 4.077508449554443
Batch: 11, Loss: 4.588858604431152
Batch: 12, Loss: 4.204136848449707
Batch: 13, Loss: 4.216296672821045
Batch: 14, Loss: 3.776001214981079

Epoch 1070 out of 2000Batch: 1, Loss: 4.781749725341797
Batch: 2, Loss: 4.989221096038818
Batch: 3, Loss: 4.864566326141357
Batch: 4, Loss: 4.735191822052002
Batch: 5, Loss: 4.705646991729736
Batch: 6, Loss: 4.9461350440979
Batch: 7, Loss: 4.928560733795166
Batch: 8, Loss: 4.521914482116699
Batch: 9, Loss: 4.980680465698242
Batch: 10, Loss: 5.166369915008545
Batch: 11, Loss: 4.83479118347168
Batch: 12, Loss: 4.437057018280029
Batch: 13, Loss: 4.343888759613037
Batch: 14, Loss: 3.8698277473449707

Epoch 1071 out of 2000Batch: 1, Loss: 5.296735763549805
Batch: 2, Loss: 5.296896457672119
Batch: 3, Loss: 5.330090045928955
Batch: 4, Loss: 5.0603742599487305
Batch: 5, Loss: 5.037917137145996
Batch: 6, Loss: 4.997294902801514
Batch: 7, Loss: 5.204601287841797
Batch: 8, Loss: 5.475901126861572
Batch: 9, Loss: 5.07267427444458
Batch: 10, Loss: 5.191401481628418
Batch: 11, Loss: 4.846236705780029
Batch: 12, Loss: 4.7553229331970215
Batch: 13, Loss: 5.1742095947265625
Batch: 14, Loss: 5.220489501953125

Epoch 1072 out of 2000Batch: 1, Loss: 4.272894859313965
Batch: 2, Loss: 4.693478584289551
Batch: 3, Loss: 4.09189510345459
Batch: 4, Loss: 4.378879547119141
Batch: 5, Loss: 4.491482257843018
Batch: 6, Loss: 4.014288425445557
Batch: 7, Loss: 4.0007171630859375
Batch: 8, Loss: 4.008408069610596
Batch: 9, Loss: 4.211874961853027
Batch: 10, Loss: 3.854219675064087
Batch: 11, Loss: 4.018553733825684
Batch: 12, Loss: 4.176638603210449
Batch: 13, Loss: 4.304086208343506
Batch: 14, Loss: 3.9233877658843994

Epoch 1073 out of 2000Batch: 1, Loss: 5.685567855834961
Batch: 2, Loss: 5.99753475189209
Batch: 3, Loss: 6.712530612945557
Batch: 4, Loss: 5.737285137176514
Batch: 5, Loss: 5.69808292388916
Batch: 6, Loss: 6.276054859161377
Batch: 7, Loss: 6.060760021209717
Batch: 8, Loss: 5.864427089691162
Batch: 9, Loss: 5.557853698730469
Batch: 10, Loss: 5.632959842681885
Batch: 11, Loss: 5.033027648925781
Batch: 12, Loss: 5.665991306304932
Batch: 13, Loss: 5.958989143371582
Batch: 14, Loss: 5.87073278427124

Epoch 1074 out of 2000Batch: 1, Loss: 4.887160778045654
Batch: 2, Loss: 4.99168586730957
Batch: 3, Loss: 5.28772497177124
Batch: 4, Loss: 4.919069766998291
Batch: 5, Loss: 4.872162342071533
Batch: 6, Loss: 4.734369277954102
Batch: 7, Loss: 4.810661792755127
Batch: 8, Loss: 4.4939775466918945
Batch: 9, Loss: 4.7941741943359375
Batch: 10, Loss: 4.959501266479492
Batch: 11, Loss: 4.588698387145996
Batch: 12, Loss: 4.249227046966553
Batch: 13, Loss: 4.426385879516602
Batch: 14, Loss: 4.199652194976807

Epoch 1075 out of 2000Batch: 1, Loss: 6.039625644683838
Batch: 2, Loss: 5.959920883178711
Batch: 3, Loss: 6.19650411605835
Batch: 4, Loss: 6.0106024742126465
Batch: 5, Loss: 5.61131477355957
Batch: 6, Loss: 5.982211112976074
Batch: 7, Loss: 6.311202526092529
Batch: 8, Loss: 5.454949378967285
Batch: 9, Loss: 5.7149529457092285
Batch: 10, Loss: 5.789444446563721
Batch: 11, Loss: 5.53145694732666
Batch: 12, Loss: 5.796222686767578
Batch: 13, Loss: 5.490866184234619
Batch: 14, Loss: 5.3774919509887695

Epoch 1076 out of 2000Batch: 1, Loss: 4.565600395202637
Batch: 2, Loss: 4.636626720428467
Batch: 3, Loss: 4.562121868133545
Batch: 4, Loss: 4.076479434967041
Batch: 5, Loss: 4.587515354156494
Batch: 6, Loss: 4.363717079162598
Batch: 7, Loss: 4.528192043304443
Batch: 8, Loss: 4.7214531898498535
Batch: 9, Loss: 4.5746588706970215
Batch: 10, Loss: 4.675065994262695
Batch: 11, Loss: 4.5357794761657715
Batch: 12, Loss: 4.677779197692871
Batch: 13, Loss: 4.500126838684082
Batch: 14, Loss: 4.5388031005859375

Epoch 1077 out of 2000Batch: 1, Loss: 4.7617621421813965
Batch: 2, Loss: 5.127508640289307
Batch: 3, Loss: 4.9563703536987305
Batch: 4, Loss: 5.011201858520508
Batch: 5, Loss: 5.5627593994140625
Batch: 6, Loss: 5.329582691192627
Batch: 7, Loss: 4.980289936065674
Batch: 8, Loss: 5.159516334533691
Batch: 9, Loss: 5.264461517333984
Batch: 10, Loss: 4.889098644256592
Batch: 11, Loss: 5.442317485809326
Batch: 12, Loss: 5.12392520904541
Batch: 13, Loss: 4.882290840148926
Batch: 14, Loss: 5.137258529663086

Epoch 1078 out of 2000Batch: 1, Loss: 4.463052272796631
Batch: 2, Loss: 4.447068691253662
Batch: 3, Loss: 4.4373979568481445
Batch: 4, Loss: 4.280239582061768
Batch: 5, Loss: 4.558323383331299
Batch: 6, Loss: 4.359793663024902
Batch: 7, Loss: 4.384073734283447
Batch: 8, Loss: 4.341305732727051
Batch: 9, Loss: 4.1812214851379395
Batch: 10, Loss: 4.41447114944458
Batch: 11, Loss: 4.566478729248047
Batch: 12, Loss: 4.146510124206543
Batch: 13, Loss: 4.36696720123291
Batch: 14, Loss: 3.918253183364868

Epoch 1079 out of 2000Batch: 1, Loss: 4.808169841766357
Batch: 2, Loss: 4.723848819732666
Batch: 3, Loss: 5.278347492218018
Batch: 4, Loss: 4.663784503936768
Batch: 5, Loss: 4.828679084777832
Batch: 6, Loss: 4.819669246673584
Batch: 7, Loss: 5.421207904815674
Batch: 8, Loss: 5.199374198913574
Batch: 9, Loss: 4.756491661071777
Batch: 10, Loss: 4.933896541595459
Batch: 11, Loss: 5.0021071434021
Batch: 12, Loss: 5.136645317077637
Batch: 13, Loss: 5.072167873382568
Batch: 14, Loss: 4.352938175201416

Epoch 1080 out of 2000Batch: 1, Loss: 4.813603401184082
Batch: 2, Loss: 4.859715938568115
Batch: 3, Loss: 4.662073612213135
Batch: 4, Loss: 4.6071929931640625
Batch: 5, Loss: 4.725778102874756
Batch: 6, Loss: 4.882559299468994
Batch: 7, Loss: 4.434760570526123
Batch: 8, Loss: 4.9121809005737305
Batch: 9, Loss: 4.461462020874023
Batch: 10, Loss: 4.785258769989014
Batch: 11, Loss: 4.675571918487549
Batch: 12, Loss: 4.4689178466796875
Batch: 13, Loss: 4.115218639373779
Batch: 14, Loss: 4.417850971221924

Epoch 1081 out of 2000Batch: 1, Loss: 4.924970626831055
Batch: 2, Loss: 4.479856491088867
Batch: 3, Loss: 4.6313934326171875
Batch: 4, Loss: 4.624599933624268
Batch: 5, Loss: 4.361414909362793
Batch: 6, Loss: 4.360355854034424
Batch: 7, Loss: 4.670290470123291
Batch: 8, Loss: 4.639999866485596
Batch: 9, Loss: 4.716165542602539
Batch: 10, Loss: 4.648409366607666
Batch: 11, Loss: 4.960240364074707
Batch: 12, Loss: 4.710659027099609
Batch: 13, Loss: 5.177205562591553
Batch: 14, Loss: 4.297567844390869

Epoch 1082 out of 2000Batch: 1, Loss: 5.260925769805908
Batch: 2, Loss: 5.212684154510498
Batch: 3, Loss: 4.945479393005371
Batch: 4, Loss: 5.149357795715332
Batch: 5, Loss: 5.278192520141602
Batch: 6, Loss: 5.133045673370361
Batch: 7, Loss: 5.3030104637146
Batch: 8, Loss: 5.069641590118408
Batch: 9, Loss: 5.116782188415527
Batch: 10, Loss: 4.924736022949219
Batch: 11, Loss: 5.269166469573975
Batch: 12, Loss: 5.499145984649658
Batch: 13, Loss: 5.152365207672119
Batch: 14, Loss: 4.816394329071045

Epoch 1083 out of 2000Batch: 1, Loss: 5.532547950744629
Batch: 2, Loss: 5.260798931121826
Batch: 3, Loss: 5.5477294921875
Batch: 4, Loss: 5.204605579376221
Batch: 5, Loss: 5.388117790222168
Batch: 6, Loss: 4.775103569030762
Batch: 7, Loss: 5.278347492218018
Batch: 8, Loss: 5.507911205291748
Batch: 9, Loss: 5.556877136230469
Batch: 10, Loss: 5.237088203430176
Batch: 11, Loss: 5.509263515472412
Batch: 12, Loss: 5.243812084197998
Batch: 13, Loss: 5.2894415855407715
Batch: 14, Loss: 5.544539451599121

Epoch 1084 out of 2000Batch: 1, Loss: 4.214842319488525
Batch: 2, Loss: 4.691684246063232
Batch: 3, Loss: 4.391114711761475
Batch: 4, Loss: 4.3855462074279785
Batch: 5, Loss: 4.4498748779296875
Batch: 6, Loss: 4.2113776206970215
Batch: 7, Loss: 4.275792598724365
Batch: 8, Loss: 4.445029258728027
Batch: 9, Loss: 4.712149620056152
Batch: 10, Loss: 4.5496931076049805
Batch: 11, Loss: 4.000893592834473
Batch: 12, Loss: 4.425207614898682
Batch: 13, Loss: 4.28989839553833
Batch: 14, Loss: 4.104584217071533

Epoch 1085 out of 2000Batch: 1, Loss: 4.852737903594971
Batch: 2, Loss: 5.324769496917725
Batch: 3, Loss: 4.834744453430176
Batch: 4, Loss: 4.833915710449219
Batch: 5, Loss: 5.3598246574401855
Batch: 6, Loss: 4.990096092224121
Batch: 7, Loss: 5.046891212463379
Batch: 8, Loss: 4.807324409484863
Batch: 9, Loss: 4.60444450378418
Batch: 10, Loss: 5.068510055541992
Batch: 11, Loss: 5.1555562019348145
Batch: 12, Loss: 5.036857604980469
Batch: 13, Loss: 4.928402900695801
Batch: 14, Loss: 5.338139533996582

Epoch 1086 out of 2000Batch: 1, Loss: 5.373034954071045
Batch: 2, Loss: 5.523763656616211
Batch: 3, Loss: 5.827906608581543
Batch: 4, Loss: 6.508828639984131
Batch: 5, Loss: 6.137378215789795
Batch: 6, Loss: 5.551980972290039
Batch: 7, Loss: 5.564569473266602
Batch: 8, Loss: 5.777697563171387
Batch: 9, Loss: 5.887361526489258
Batch: 10, Loss: 5.875758647918701
Batch: 11, Loss: 5.933363437652588
Batch: 12, Loss: 5.816714763641357
Batch: 13, Loss: 6.302898406982422
Batch: 14, Loss: 5.935701370239258

Epoch 1087 out of 2000Batch: 1, Loss: 4.36893892288208
Batch: 2, Loss: 4.339435577392578
Batch: 3, Loss: 4.516221523284912
Batch: 4, Loss: 4.425215244293213
Batch: 5, Loss: 4.3725433349609375
Batch: 6, Loss: 4.297922611236572
Batch: 7, Loss: 4.190093517303467
Batch: 8, Loss: 4.071020603179932
Batch: 9, Loss: 4.205674648284912
Batch: 10, Loss: 4.4576897621154785
Batch: 11, Loss: 3.832629680633545
Batch: 12, Loss: 3.9001429080963135
Batch: 13, Loss: 4.063802242279053
Batch: 14, Loss: 3.907188653945923

Epoch 1088 out of 2000Batch: 1, Loss: 6.760433673858643
Batch: 2, Loss: 6.459818363189697
Batch: 3, Loss: 5.893920421600342
Batch: 4, Loss: 6.28232479095459
Batch: 5, Loss: 6.0327043533325195
Batch: 6, Loss: 5.950831413269043
Batch: 7, Loss: 5.839684963226318
Batch: 8, Loss: 5.6753997802734375
Batch: 9, Loss: 5.6643805503845215
Batch: 10, Loss: 6.10850715637207
Batch: 11, Loss: 5.96621561050415
Batch: 12, Loss: 5.920219421386719
Batch: 13, Loss: 5.179837703704834
Batch: 14, Loss: 6.39206075668335

Epoch 1089 out of 2000Batch: 1, Loss: 5.17914342880249
Batch: 2, Loss: 5.30653715133667
Batch: 3, Loss: 5.0099663734436035
Batch: 4, Loss: 5.2166619300842285
Batch: 5, Loss: 5.449463844299316
Batch: 6, Loss: 4.466916561126709
Batch: 7, Loss: 4.991374969482422
Batch: 8, Loss: 5.115056037902832
Batch: 9, Loss: 4.613116264343262
Batch: 10, Loss: 4.757251739501953
Batch: 11, Loss: 5.040546894073486
Batch: 12, Loss: 5.191551685333252
Batch: 13, Loss: 5.232606410980225
Batch: 14, Loss: 4.898277282714844

Epoch 1090 out of 2000Batch: 1, Loss: 5.845392227172852
Batch: 2, Loss: 5.507760047912598
Batch: 3, Loss: 5.529510498046875
Batch: 4, Loss: 5.786653995513916
Batch: 5, Loss: 5.641615390777588
Batch: 6, Loss: 5.54943323135376
Batch: 7, Loss: 5.804460048675537
Batch: 8, Loss: 5.34945011138916
Batch: 9, Loss: 5.412515163421631
Batch: 10, Loss: 5.232592582702637
Batch: 11, Loss: 5.722039222717285
Batch: 12, Loss: 5.072514533996582
Batch: 13, Loss: 5.258957386016846
Batch: 14, Loss: 6.815784931182861

Epoch 1091 out of 2000Batch: 1, Loss: 4.866581916809082
Batch: 2, Loss: 5.259749889373779
Batch: 3, Loss: 5.1071248054504395
Batch: 4, Loss: 5.330446243286133
Batch: 5, Loss: 5.433930397033691
Batch: 6, Loss: 5.359156131744385
Batch: 7, Loss: 5.137115955352783
Batch: 8, Loss: 5.1583476066589355
Batch: 9, Loss: 4.836034774780273
Batch: 10, Loss: 5.074024677276611
Batch: 11, Loss: 4.957104682922363
Batch: 12, Loss: 4.623911380767822
Batch: 13, Loss: 4.838788986206055
Batch: 14, Loss: 5.285450458526611

Epoch 1092 out of 2000Batch: 1, Loss: 4.445252418518066
Batch: 2, Loss: 4.389090538024902
Batch: 3, Loss: 4.165732383728027
Batch: 4, Loss: 4.00662899017334
Batch: 5, Loss: 4.027652263641357
Batch: 6, Loss: 4.194399833679199
Batch: 7, Loss: 4.161256313323975
Batch: 8, Loss: 4.157166481018066
Batch: 9, Loss: 4.003427505493164
Batch: 10, Loss: 4.04227352142334
Batch: 11, Loss: 3.7546145915985107
Batch: 12, Loss: 3.7406582832336426
Batch: 13, Loss: 3.7564356327056885
Batch: 14, Loss: 3.5276601314544678

Epoch 1093 out of 2000Batch: 1, Loss: 5.467840194702148
Batch: 2, Loss: 5.021190643310547
Batch: 3, Loss: 5.150715351104736
Batch: 4, Loss: 5.018371105194092
Batch: 5, Loss: 5.277018070220947
Batch: 6, Loss: 5.029298305511475
Batch: 7, Loss: 4.952484607696533
Batch: 8, Loss: 5.147867202758789
Batch: 9, Loss: 4.89727783203125
Batch: 10, Loss: 5.357224941253662
Batch: 11, Loss: 4.589057445526123
Batch: 12, Loss: 4.922812461853027
Batch: 13, Loss: 5.064095973968506
Batch: 14, Loss: 4.502985000610352

Epoch 1094 out of 2000Batch: 1, Loss: 4.6244282722473145
Batch: 2, Loss: 4.33492374420166
Batch: 3, Loss: 4.731308460235596
Batch: 4, Loss: 4.366652488708496
Batch: 5, Loss: 4.244193077087402
Batch: 6, Loss: 4.442754745483398
Batch: 7, Loss: 4.852314472198486
Batch: 8, Loss: 4.441175937652588
Batch: 9, Loss: 4.379526615142822
Batch: 10, Loss: 4.292481899261475
Batch: 11, Loss: 4.086867809295654
Batch: 12, Loss: 4.45551872253418
Batch: 13, Loss: 4.273623466491699
Batch: 14, Loss: 4.376783847808838

Epoch 1095 out of 2000Batch: 1, Loss: 5.459105014801025
Batch: 2, Loss: 5.402270317077637
Batch: 3, Loss: 5.33339262008667
Batch: 4, Loss: 5.457366943359375
Batch: 5, Loss: 5.6628336906433105
Batch: 6, Loss: 5.410158157348633
Batch: 7, Loss: 5.168793678283691
Batch: 8, Loss: 5.4504194259643555
Batch: 9, Loss: 4.866260528564453
Batch: 10, Loss: 4.632530212402344
Batch: 11, Loss: 4.843092441558838
Batch: 12, Loss: 4.703078269958496
Batch: 13, Loss: 5.024090766906738
Batch: 14, Loss: 5.357988357543945

Epoch 1096 out of 2000Batch: 1, Loss: 4.1225786209106445
Batch: 2, Loss: 4.270138263702393
Batch: 3, Loss: 3.912773370742798
Batch: 4, Loss: 4.157823085784912
Batch: 5, Loss: 4.386240005493164
Batch: 6, Loss: 3.896536350250244
Batch: 7, Loss: 4.221156597137451
Batch: 8, Loss: 4.604831695556641
Batch: 9, Loss: 4.480249881744385
Batch: 10, Loss: 4.502899169921875
Batch: 11, Loss: 4.3755717277526855
Batch: 12, Loss: 3.9621260166168213
Batch: 13, Loss: 3.7823660373687744
Batch: 14, Loss: 4.0306572914123535

Epoch 1097 out of 2000Batch: 1, Loss: 5.1454010009765625
Batch: 2, Loss: 5.396171569824219
Batch: 3, Loss: 5.416114330291748
Batch: 4, Loss: 5.537398815155029
Batch: 5, Loss: 5.186005115509033
Batch: 6, Loss: 5.706417560577393
Batch: 7, Loss: 5.177126407623291
Batch: 8, Loss: 5.465236186981201
Batch: 9, Loss: 5.594091415405273
Batch: 10, Loss: 4.953706741333008
Batch: 11, Loss: 5.693981170654297
Batch: 12, Loss: 4.752338409423828
Batch: 13, Loss: 5.637829303741455
Batch: 14, Loss: 5.613518238067627

Epoch 1098 out of 2000Batch: 1, Loss: 5.460880756378174
Batch: 2, Loss: 5.526284217834473
Batch: 3, Loss: 5.711526393890381
Batch: 4, Loss: 5.54280948638916
Batch: 5, Loss: 5.294816493988037
Batch: 6, Loss: 5.179482460021973
Batch: 7, Loss: 5.8185577392578125
Batch: 8, Loss: 5.621606349945068
Batch: 9, Loss: 5.429577827453613
Batch: 10, Loss: 5.675457954406738
Batch: 11, Loss: 5.6822686195373535
Batch: 12, Loss: 5.40850305557251
Batch: 13, Loss: 4.927438735961914
Batch: 14, Loss: 5.566433429718018

Epoch 1099 out of 2000Batch: 1, Loss: 4.975915431976318
Batch: 2, Loss: 5.267251491546631
Batch: 3, Loss: 4.627170085906982
Batch: 4, Loss: 5.321693420410156
Batch: 5, Loss: 4.935121059417725
Batch: 6, Loss: 4.871735572814941
Batch: 7, Loss: 4.547561168670654
Batch: 8, Loss: 4.981504440307617
Batch: 9, Loss: 4.722158908843994
Batch: 10, Loss: 4.609991550445557
Batch: 11, Loss: 4.664321422576904
Batch: 12, Loss: 5.1031718254089355
Batch: 13, Loss: 5.073963642120361
Batch: 14, Loss: 5.190057277679443

Epoch 1100 out of 2000Batch: 1, Loss: 4.537712574005127
Batch: 2, Loss: 4.353621482849121
Batch: 3, Loss: 5.113406658172607
Batch: 4, Loss: 4.698332786560059
Batch: 5, Loss: 5.175568103790283
Batch: 6, Loss: 4.696022033691406
Batch: 7, Loss: 4.593292713165283
Batch: 8, Loss: 4.629006862640381
Batch: 9, Loss: 4.804062366485596
Batch: 10, Loss: 4.731386184692383
Batch: 11, Loss: 4.6778154373168945
Batch: 12, Loss: 4.557204723358154
Batch: 13, Loss: 4.794351577758789
Batch: 14, Loss: 4.398401260375977

Epoch 1101 out of 2000Batch: 1, Loss: 5.582962512969971
Batch: 2, Loss: 5.537728309631348
Batch: 3, Loss: 5.518294334411621
Batch: 4, Loss: 5.3015336990356445
Batch: 5, Loss: 5.356318473815918
Batch: 6, Loss: 5.559129238128662
Batch: 7, Loss: 5.089171886444092
Batch: 8, Loss: 5.661361217498779
Batch: 9, Loss: 5.541987419128418
Batch: 10, Loss: 5.874613285064697
Batch: 11, Loss: 5.310832500457764
Batch: 12, Loss: 5.753410816192627
Batch: 13, Loss: 5.284757137298584
Batch: 14, Loss: 4.878115653991699

Epoch 1102 out of 2000Batch: 1, Loss: 4.849759578704834
Batch: 2, Loss: 4.682520866394043
Batch: 3, Loss: 4.761273384094238
Batch: 4, Loss: 4.411020755767822
Batch: 5, Loss: 4.769662857055664
Batch: 6, Loss: 4.403537273406982
Batch: 7, Loss: 4.5301947593688965
Batch: 8, Loss: 4.364738941192627
Batch: 9, Loss: 4.620394229888916
Batch: 10, Loss: 4.358883380889893
Batch: 11, Loss: 4.434625625610352
Batch: 12, Loss: 4.650783061981201
Batch: 13, Loss: 4.251862049102783
Batch: 14, Loss: 4.5384955406188965

Epoch 1103 out of 2000Batch: 1, Loss: 5.301032066345215
Batch: 2, Loss: 6.040520668029785
Batch: 3, Loss: 5.9371418952941895
Batch: 4, Loss: 5.774672508239746
Batch: 5, Loss: 5.587564468383789
Batch: 6, Loss: 5.56820821762085
Batch: 7, Loss: 5.3963446617126465
Batch: 8, Loss: 5.700435638427734
Batch: 9, Loss: 5.665492534637451
Batch: 10, Loss: 5.743539333343506
Batch: 11, Loss: 5.545654296875
Batch: 12, Loss: 5.57487154006958
Batch: 13, Loss: 5.3963236808776855
Batch: 14, Loss: 5.386229991912842

Epoch 1104 out of 2000Batch: 1, Loss: 5.388360977172852
Batch: 2, Loss: 5.388225555419922
Batch: 3, Loss: 4.986143112182617
Batch: 4, Loss: 5.292941093444824
Batch: 5, Loss: 5.1866984367370605
Batch: 6, Loss: 5.12545919418335
Batch: 7, Loss: 5.023458480834961
Batch: 8, Loss: 4.79951286315918
Batch: 9, Loss: 4.767720699310303
Batch: 10, Loss: 5.064479351043701
Batch: 11, Loss: 5.014487266540527
Batch: 12, Loss: 4.792912006378174
Batch: 13, Loss: 4.625602722167969
Batch: 14, Loss: 4.892065525054932

Epoch 1105 out of 2000Batch: 1, Loss: 5.33974552154541
Batch: 2, Loss: 5.23455286026001
Batch: 3, Loss: 4.806579113006592
Batch: 4, Loss: 4.930269241333008
Batch: 5, Loss: 5.191952228546143
Batch: 6, Loss: 5.0923752784729
Batch: 7, Loss: 5.277401924133301
Batch: 8, Loss: 5.423349857330322
Batch: 9, Loss: 5.361932754516602
Batch: 10, Loss: 4.570871829986572
Batch: 11, Loss: 5.39479923248291
Batch: 12, Loss: 4.6744704246521
Batch: 13, Loss: 4.869399547576904
Batch: 14, Loss: 4.8540239334106445

Epoch 1106 out of 2000Batch: 1, Loss: 4.6283087730407715
Batch: 2, Loss: 4.0376667976379395
Batch: 3, Loss: 4.44667387008667
Batch: 4, Loss: 4.635863780975342
Batch: 5, Loss: 4.70113468170166
Batch: 6, Loss: 4.784706115722656
Batch: 7, Loss: 4.723869800567627
Batch: 8, Loss: 4.823902606964111
Batch: 9, Loss: 4.647004127502441
Batch: 10, Loss: 4.552188396453857
Batch: 11, Loss: 4.62770414352417
Batch: 12, Loss: 4.296602249145508
Batch: 13, Loss: 4.8675336837768555
Batch: 14, Loss: 3.9933066368103027

Epoch 1107 out of 2000Batch: 1, Loss: 5.776134490966797
Batch: 2, Loss: 5.333729267120361
Batch: 3, Loss: 5.418219566345215
Batch: 4, Loss: 5.167535781860352
Batch: 5, Loss: 5.572469711303711
Batch: 6, Loss: 5.977302074432373
Batch: 7, Loss: 5.262531757354736
Batch: 8, Loss: 5.614866733551025
Batch: 9, Loss: 5.243593692779541
Batch: 10, Loss: 5.513132095336914
Batch: 11, Loss: 5.516579627990723
Batch: 12, Loss: 5.8317036628723145
Batch: 13, Loss: 5.373918533325195
Batch: 14, Loss: 5.50120210647583

Epoch 1108 out of 2000Batch: 1, Loss: 5.35805082321167
Batch: 2, Loss: 5.408359527587891
Batch: 3, Loss: 5.678801536560059
Batch: 4, Loss: 5.446625709533691
Batch: 5, Loss: 5.173929691314697
Batch: 6, Loss: 5.434703826904297
Batch: 7, Loss: 5.046688079833984
Batch: 8, Loss: 5.214758396148682
Batch: 9, Loss: 5.663538455963135
Batch: 10, Loss: 5.657763957977295
Batch: 11, Loss: 5.2183332443237305
Batch: 12, Loss: 5.522958278656006
Batch: 13, Loss: 5.443511486053467
Batch: 14, Loss: 5.084275245666504

Epoch 1109 out of 2000Batch: 1, Loss: 5.299074649810791
Batch: 2, Loss: 4.856118202209473
Batch: 3, Loss: 5.618049144744873
Batch: 4, Loss: 5.542874336242676
Batch: 5, Loss: 4.956155776977539
Batch: 6, Loss: 4.856779098510742
Batch: 7, Loss: 5.045376777648926
Batch: 8, Loss: 5.018000602722168
Batch: 9, Loss: 5.363874435424805
Batch: 10, Loss: 5.300804615020752
Batch: 11, Loss: 4.889298439025879
Batch: 12, Loss: 5.259528160095215
Batch: 13, Loss: 5.15530252456665
Batch: 14, Loss: 4.7934794425964355

Epoch 1110 out of 2000Batch: 1, Loss: 4.90439510345459
Batch: 2, Loss: 5.045461654663086
Batch: 3, Loss: 4.618879318237305
Batch: 4, Loss: 4.929912090301514
Batch: 5, Loss: 5.025038719177246
Batch: 6, Loss: 5.045084476470947
Batch: 7, Loss: 4.888215065002441
Batch: 8, Loss: 4.9299702644348145
Batch: 9, Loss: 4.931779384613037
Batch: 10, Loss: 5.042969226837158
Batch: 11, Loss: 4.968757629394531
Batch: 12, Loss: 4.86897611618042
Batch: 13, Loss: 4.943896770477295
Batch: 14, Loss: 5.323944568634033

Epoch 1111 out of 2000Batch: 1, Loss: 4.257263660430908
Batch: 2, Loss: 4.38658332824707
Batch: 3, Loss: 4.31217098236084
Batch: 4, Loss: 4.150973796844482
Batch: 5, Loss: 4.330942153930664
Batch: 6, Loss: 4.094976425170898
Batch: 7, Loss: 4.301087379455566
Batch: 8, Loss: 4.240750312805176
Batch: 9, Loss: 4.352492332458496
Batch: 10, Loss: 4.156228542327881
Batch: 11, Loss: 3.911738395690918
Batch: 12, Loss: 4.386606693267822
Batch: 13, Loss: 4.188262462615967
Batch: 14, Loss: 4.429906368255615

Epoch 1112 out of 2000Batch: 1, Loss: 4.831290245056152
Batch: 2, Loss: 4.765869617462158
Batch: 3, Loss: 4.5679168701171875
Batch: 4, Loss: 4.812697887420654
Batch: 5, Loss: 4.5824127197265625
Batch: 6, Loss: 4.753852367401123
Batch: 7, Loss: 4.300863742828369
Batch: 8, Loss: 4.819962978363037
Batch: 9, Loss: 4.787123203277588
Batch: 10, Loss: 4.842495441436768
Batch: 11, Loss: 4.726387977600098
Batch: 12, Loss: 4.678092956542969
Batch: 13, Loss: 4.4755425453186035
Batch: 14, Loss: 4.65440034866333

Epoch 1113 out of 2000Batch: 1, Loss: 5.922998428344727
Batch: 2, Loss: 5.901230335235596
Batch: 3, Loss: 5.39192008972168
Batch: 4, Loss: 5.525882720947266
Batch: 5, Loss: 5.279928684234619
Batch: 6, Loss: 5.538571357727051
Batch: 7, Loss: 5.166316032409668
Batch: 8, Loss: 5.614445209503174
Batch: 9, Loss: 5.846954822540283
Batch: 10, Loss: 5.593008041381836
Batch: 11, Loss: 5.3939409255981445
Batch: 12, Loss: 5.172280788421631
Batch: 13, Loss: 5.177870750427246
Batch: 14, Loss: 5.531264781951904

Epoch 1114 out of 2000Batch: 1, Loss: 4.768914222717285
Batch: 2, Loss: 4.776570796966553
Batch: 3, Loss: 5.028644561767578
Batch: 4, Loss: 4.772586345672607
Batch: 5, Loss: 5.024013996124268
Batch: 6, Loss: 4.978340148925781
Batch: 7, Loss: 4.600632667541504
Batch: 8, Loss: 4.458629131317139
Batch: 9, Loss: 5.012638092041016
Batch: 10, Loss: 4.385895729064941
Batch: 11, Loss: 4.639078140258789
Batch: 12, Loss: 4.20434045791626
Batch: 13, Loss: 4.689676761627197
Batch: 14, Loss: 4.083583354949951

Epoch 1115 out of 2000Batch: 1, Loss: 5.577007293701172
Batch: 2, Loss: 5.50665807723999
Batch: 3, Loss: 5.862706661224365
Batch: 4, Loss: 4.729479789733887
Batch: 5, Loss: 5.365698337554932
Batch: 6, Loss: 4.747743606567383
Batch: 7, Loss: 5.092529773712158
Batch: 8, Loss: 5.062901020050049
Batch: 9, Loss: 5.191993713378906
Batch: 10, Loss: 5.359921455383301
Batch: 11, Loss: 5.458788871765137
Batch: 12, Loss: 4.7335710525512695
Batch: 13, Loss: 5.075524806976318
Batch: 14, Loss: 5.171652317047119

Epoch 1116 out of 2000Batch: 1, Loss: 5.084250450134277
Batch: 2, Loss: 4.7867536544799805
Batch: 3, Loss: 5.1060967445373535
Batch: 4, Loss: 4.94913911819458
Batch: 5, Loss: 4.435338020324707
Batch: 6, Loss: 4.998878479003906
Batch: 7, Loss: 4.80592155456543
Batch: 8, Loss: 4.727409839630127
Batch: 9, Loss: 4.857510566711426
Batch: 10, Loss: 4.362170696258545
Batch: 11, Loss: 4.771091461181641
Batch: 12, Loss: 4.263645648956299
Batch: 13, Loss: 4.7122321128845215
Batch: 14, Loss: 4.918388366699219

Epoch 1117 out of 2000Batch: 1, Loss: 5.730287551879883
Batch: 2, Loss: 5.330783367156982
Batch: 3, Loss: 5.24201774597168
Batch: 4, Loss: 6.0620341300964355
Batch: 5, Loss: 5.66464900970459
Batch: 6, Loss: 5.794403076171875
Batch: 7, Loss: 5.4247941970825195
Batch: 8, Loss: 5.5136332511901855
Batch: 9, Loss: 5.4066948890686035
Batch: 10, Loss: 5.310776710510254
Batch: 11, Loss: 5.5226545333862305
Batch: 12, Loss: 5.537076473236084
Batch: 13, Loss: 5.823038578033447
Batch: 14, Loss: 5.477522850036621

Epoch 1118 out of 2000Batch: 1, Loss: 5.298483371734619
Batch: 2, Loss: 4.843413829803467
Batch: 3, Loss: 5.5936408042907715
Batch: 4, Loss: 5.401439666748047
Batch: 5, Loss: 5.83006477355957
Batch: 6, Loss: 5.876439571380615
Batch: 7, Loss: 5.484519004821777
Batch: 8, Loss: 5.655766010284424
Batch: 9, Loss: 5.650361061096191
Batch: 10, Loss: 5.874630451202393
Batch: 11, Loss: 5.982451915740967
Batch: 12, Loss: 5.05719518661499
Batch: 13, Loss: 5.448230743408203
Batch: 14, Loss: 6.146447658538818

Epoch 1119 out of 2000Batch: 1, Loss: 5.6680073738098145
Batch: 2, Loss: 5.1955485343933105
Batch: 3, Loss: 5.422131538391113
Batch: 4, Loss: 5.171707630157471
Batch: 5, Loss: 5.259747505187988
Batch: 6, Loss: 5.399423599243164
Batch: 7, Loss: 5.198134899139404
Batch: 8, Loss: 5.133821964263916
Batch: 9, Loss: 5.264525413513184
Batch: 10, Loss: 5.397099494934082
Batch: 11, Loss: 5.440471649169922
Batch: 12, Loss: 5.524479866027832
Batch: 13, Loss: 5.028924942016602
Batch: 14, Loss: 5.435986042022705

Epoch 1120 out of 2000Batch: 1, Loss: 5.941132068634033
Batch: 2, Loss: 6.2095489501953125
Batch: 3, Loss: 5.807826995849609
Batch: 4, Loss: 6.271854400634766
Batch: 5, Loss: 6.263463497161865
Batch: 6, Loss: 5.854671478271484
Batch: 7, Loss: 6.048160076141357
Batch: 8, Loss: 5.453258991241455
Batch: 9, Loss: 5.820497989654541
Batch: 10, Loss: 5.571699142456055
Batch: 11, Loss: 5.312335014343262
Batch: 12, Loss: 5.856898307800293
Batch: 13, Loss: 5.811760425567627
Batch: 14, Loss: 5.330539703369141

Epoch 1121 out of 2000Batch: 1, Loss: 3.93497633934021
Batch: 2, Loss: 3.995070219039917
Batch: 3, Loss: 4.003245830535889
Batch: 4, Loss: 3.8283801078796387
Batch: 5, Loss: 4.110000133514404
Batch: 6, Loss: 3.8263375759124756
Batch: 7, Loss: 4.198759078979492
Batch: 8, Loss: 3.9447813034057617
Batch: 9, Loss: 4.229088306427002
Batch: 10, Loss: 3.9762721061706543
Batch: 11, Loss: 3.9291813373565674
Batch: 12, Loss: 3.76652455329895
Batch: 13, Loss: 3.892666816711426
Batch: 14, Loss: 3.313462018966675

Epoch 1122 out of 2000Batch: 1, Loss: 6.201957702636719
Batch: 2, Loss: 6.0480122566223145
Batch: 3, Loss: 5.986176013946533
Batch: 4, Loss: 6.0128865242004395
Batch: 5, Loss: 5.998912811279297
Batch: 6, Loss: 5.806595802307129
Batch: 7, Loss: 6.132406234741211
Batch: 8, Loss: 5.78938102722168
Batch: 9, Loss: 5.914628028869629
Batch: 10, Loss: 5.905153751373291
Batch: 11, Loss: 5.541295528411865
Batch: 12, Loss: 6.49595832824707
Batch: 13, Loss: 6.063723564147949
Batch: 14, Loss: 5.629577159881592

Epoch 1123 out of 2000Batch: 1, Loss: 4.665189266204834
Batch: 2, Loss: 4.637823581695557
Batch: 3, Loss: 5.0135416984558105
Batch: 4, Loss: 4.687977313995361
Batch: 5, Loss: 4.752628803253174
Batch: 6, Loss: 5.051009654998779
Batch: 7, Loss: 4.309966087341309
Batch: 8, Loss: 4.92907190322876
Batch: 9, Loss: 4.9805006980896
Batch: 10, Loss: 4.557866096496582
Batch: 11, Loss: 4.46627140045166
Batch: 12, Loss: 4.26021671295166
Batch: 13, Loss: 4.482553005218506
Batch: 14, Loss: 4.81552791595459

Epoch 1124 out of 2000Batch: 1, Loss: 5.1132354736328125
Batch: 2, Loss: 4.900112152099609
Batch: 3, Loss: 5.122680187225342
Batch: 4, Loss: 5.002430438995361
Batch: 5, Loss: 5.304634094238281
Batch: 6, Loss: 4.808209419250488
Batch: 7, Loss: 4.941784381866455
Batch: 8, Loss: 4.675281047821045
Batch: 9, Loss: 4.703136444091797
Batch: 10, Loss: 4.9202070236206055
Batch: 11, Loss: 4.460597991943359
Batch: 12, Loss: 4.517297744750977
Batch: 13, Loss: 4.774331092834473
Batch: 14, Loss: 4.709911823272705

Epoch 1125 out of 2000Batch: 1, Loss: 5.2736287117004395
Batch: 2, Loss: 6.1001410484313965
Batch: 3, Loss: 5.4820876121521
Batch: 4, Loss: 5.784880638122559
Batch: 5, Loss: 5.893877983093262
Batch: 6, Loss: 5.8496785163879395
Batch: 7, Loss: 6.412815570831299
Batch: 8, Loss: 6.219168663024902
Batch: 9, Loss: 5.760236740112305
Batch: 10, Loss: 5.878506660461426
Batch: 11, Loss: 5.419435501098633
Batch: 12, Loss: 5.580992698669434
Batch: 13, Loss: 5.66838264465332
Batch: 14, Loss: 5.497021198272705

Epoch 1126 out of 2000Batch: 1, Loss: 4.239178657531738
Batch: 2, Loss: 4.28767204284668
Batch: 3, Loss: 4.548748970031738
Batch: 4, Loss: 4.333763599395752
Batch: 5, Loss: 4.647430896759033
Batch: 6, Loss: 4.16063117980957
Batch: 7, Loss: 4.341533184051514
Batch: 8, Loss: 4.382805347442627
Batch: 9, Loss: 4.370368957519531
Batch: 10, Loss: 4.399255275726318
Batch: 11, Loss: 4.44790506362915
Batch: 12, Loss: 4.121697902679443
Batch: 13, Loss: 3.885068416595459
Batch: 14, Loss: 4.391580581665039

Epoch 1127 out of 2000Batch: 1, Loss: 4.551290035247803
Batch: 2, Loss: 4.109811305999756
Batch: 3, Loss: 4.372366905212402
Batch: 4, Loss: 4.583942413330078
Batch: 5, Loss: 4.150085926055908
Batch: 6, Loss: 4.2717180252075195
Batch: 7, Loss: 4.338154315948486
Batch: 8, Loss: 4.3473615646362305
Batch: 9, Loss: 4.196263790130615
Batch: 10, Loss: 4.049637317657471
Batch: 11, Loss: 4.042971134185791
Batch: 12, Loss: 3.9654972553253174
Batch: 13, Loss: 3.9461820125579834
Batch: 14, Loss: 4.281853199005127

Epoch 1128 out of 2000Batch: 1, Loss: 5.066200256347656
Batch: 2, Loss: 5.09747314453125
Batch: 3, Loss: 5.508920192718506
Batch: 4, Loss: 5.290372848510742
Batch: 5, Loss: 5.403179168701172
Batch: 6, Loss: 5.434302806854248
Batch: 7, Loss: 5.211026191711426
Batch: 8, Loss: 5.477212429046631
Batch: 9, Loss: 5.1972174644470215
Batch: 10, Loss: 5.327661514282227
Batch: 11, Loss: 5.32142972946167
Batch: 12, Loss: 5.255395412445068
Batch: 13, Loss: 5.175059795379639
Batch: 14, Loss: 5.376837253570557

Epoch 1129 out of 2000Batch: 1, Loss: 5.722901344299316
Batch: 2, Loss: 5.175532341003418
Batch: 3, Loss: 4.986546993255615
Batch: 4, Loss: 5.216012001037598
Batch: 5, Loss: 5.131519794464111
Batch: 6, Loss: 5.305044651031494
Batch: 7, Loss: 5.110383033752441
Batch: 8, Loss: 5.0338215827941895
Batch: 9, Loss: 5.138210296630859
Batch: 10, Loss: 5.025129318237305
Batch: 11, Loss: 5.245220184326172
Batch: 12, Loss: 4.862478733062744
Batch: 13, Loss: 5.371578216552734
Batch: 14, Loss: 5.17570161819458

Epoch 1130 out of 2000Batch: 1, Loss: 4.684301376342773
Batch: 2, Loss: 4.529626369476318
Batch: 3, Loss: 5.048651218414307
Batch: 4, Loss: 4.741270065307617
Batch: 5, Loss: 4.885509490966797
Batch: 6, Loss: 4.722835063934326
Batch: 7, Loss: 4.806365966796875
Batch: 8, Loss: 4.512575626373291
Batch: 9, Loss: 4.955752372741699
Batch: 10, Loss: 4.7673749923706055
Batch: 11, Loss: 4.724457263946533
Batch: 12, Loss: 4.641358375549316
Batch: 13, Loss: 4.264631271362305
Batch: 14, Loss: 4.616028785705566

Epoch 1131 out of 2000Batch: 1, Loss: 4.32378625869751
Batch: 2, Loss: 4.296884059906006
Batch: 3, Loss: 3.9300220012664795
Batch: 4, Loss: 4.468433856964111
Batch: 5, Loss: 4.615971088409424
Batch: 6, Loss: 4.326860427856445
Batch: 7, Loss: 3.8974478244781494
Batch: 8, Loss: 4.140384674072266
Batch: 9, Loss: 4.010921955108643
Batch: 10, Loss: 4.091562271118164
Batch: 11, Loss: 4.203009605407715
Batch: 12, Loss: 3.963153839111328
Batch: 13, Loss: 4.040841579437256
Batch: 14, Loss: 4.268580436706543

Epoch 1132 out of 2000Batch: 1, Loss: 4.068511486053467
Batch: 2, Loss: 3.8202404975891113
Batch: 3, Loss: 4.47415018081665
Batch: 4, Loss: 4.442836761474609
Batch: 5, Loss: 3.7739999294281006
Batch: 6, Loss: 3.820622682571411
Batch: 7, Loss: 3.9747114181518555
Batch: 8, Loss: 4.194394111633301
Batch: 9, Loss: 3.968257427215576
Batch: 10, Loss: 4.105493545532227
Batch: 11, Loss: 3.556047201156616
Batch: 12, Loss: 3.773606777191162
Batch: 13, Loss: 3.6984238624572754
Batch: 14, Loss: 4.351173400878906

Epoch 1133 out of 2000Batch: 1, Loss: 4.211352825164795
Batch: 2, Loss: 5.128042697906494
Batch: 3, Loss: 4.918189525604248
Batch: 4, Loss: 4.756540775299072
Batch: 5, Loss: 4.992000579833984
Batch: 6, Loss: 5.004490852355957
Batch: 7, Loss: 5.018107891082764
Batch: 8, Loss: 5.105236530303955
Batch: 9, Loss: 4.848093032836914
Batch: 10, Loss: 5.173375606536865
Batch: 11, Loss: 4.724836826324463
Batch: 12, Loss: 4.2699456214904785
Batch: 13, Loss: 4.774717807769775
Batch: 14, Loss: 4.806718349456787

Epoch 1134 out of 2000Batch: 1, Loss: 4.758325576782227
Batch: 2, Loss: 4.465580463409424
Batch: 3, Loss: 4.2976908683776855
Batch: 4, Loss: 4.44564962387085
Batch: 5, Loss: 4.63791561126709
Batch: 6, Loss: 4.608994483947754
Batch: 7, Loss: 4.626018524169922
Batch: 8, Loss: 4.48183536529541
Batch: 9, Loss: 4.8074727058410645
Batch: 10, Loss: 4.391421794891357
Batch: 11, Loss: 4.308172225952148
Batch: 12, Loss: 4.297916412353516
Batch: 13, Loss: 4.348084449768066
Batch: 14, Loss: 4.365783214569092

Epoch 1135 out of 2000Batch: 1, Loss: 5.194260597229004
Batch: 2, Loss: 4.823596000671387
Batch: 3, Loss: 4.650128364562988
Batch: 4, Loss: 4.965088367462158
Batch: 5, Loss: 4.591006755828857
Batch: 6, Loss: 4.931042194366455
Batch: 7, Loss: 4.753337383270264
Batch: 8, Loss: 5.049746036529541
Batch: 9, Loss: 5.011784553527832
Batch: 10, Loss: 4.756686210632324
Batch: 11, Loss: 4.93071985244751
Batch: 12, Loss: 4.794355869293213
Batch: 13, Loss: 4.146862030029297
Batch: 14, Loss: 4.828802108764648

Epoch 1136 out of 2000Batch: 1, Loss: 5.512994766235352
Batch: 2, Loss: 5.5551347732543945
Batch: 3, Loss: 5.979550838470459
Batch: 4, Loss: 5.582597255706787
Batch: 5, Loss: 6.025020122528076
Batch: 6, Loss: 5.63610315322876
Batch: 7, Loss: 5.8489813804626465
Batch: 8, Loss: 5.598855018615723
Batch: 9, Loss: 5.411147594451904
Batch: 10, Loss: 5.233388423919678
Batch: 11, Loss: 5.156403541564941
Batch: 12, Loss: 5.027564525604248
Batch: 13, Loss: 5.647645950317383
Batch: 14, Loss: 5.4130940437316895

Epoch 1137 out of 2000Batch: 1, Loss: 4.285171031951904
Batch: 2, Loss: 4.372467994689941
Batch: 3, Loss: 4.513707160949707
Batch: 4, Loss: 4.2410430908203125
Batch: 5, Loss: 4.3144354820251465
Batch: 6, Loss: 4.205861568450928
Batch: 7, Loss: 4.331686019897461
Batch: 8, Loss: 4.202264308929443
Batch: 9, Loss: 4.398802280426025
Batch: 10, Loss: 3.714783191680908
Batch: 11, Loss: 3.9771885871887207
Batch: 12, Loss: 3.968862295150757
Batch: 13, Loss: 3.873919725418091
Batch: 14, Loss: 4.046545505523682

Epoch 1138 out of 2000Batch: 1, Loss: 5.2184672355651855
Batch: 2, Loss: 5.450893878936768
Batch: 3, Loss: 5.163243770599365
Batch: 4, Loss: 5.042825222015381
Batch: 5, Loss: 5.308265209197998
Batch: 6, Loss: 5.000115394592285
Batch: 7, Loss: 5.237624645233154
Batch: 8, Loss: 5.274856090545654
Batch: 9, Loss: 5.310677528381348
Batch: 10, Loss: 4.979362964630127
Batch: 11, Loss: 5.057195663452148
Batch: 12, Loss: 5.329131126403809
Batch: 13, Loss: 4.980381965637207
Batch: 14, Loss: 4.983094215393066

Epoch 1139 out of 2000Batch: 1, Loss: 4.582247734069824
Batch: 2, Loss: 4.664775371551514
Batch: 3, Loss: 4.748082637786865
Batch: 4, Loss: 4.841716289520264
Batch: 5, Loss: 4.540400981903076
Batch: 6, Loss: 4.288229942321777
Batch: 7, Loss: 4.380645275115967
Batch: 8, Loss: 4.516977310180664
Batch: 9, Loss: 4.444215297698975
Batch: 10, Loss: 4.478394031524658
Batch: 11, Loss: 4.515379905700684
Batch: 12, Loss: 4.737676620483398
Batch: 13, Loss: 4.625613689422607
Batch: 14, Loss: 4.584279537200928

Epoch 1140 out of 2000Batch: 1, Loss: 5.042510509490967
Batch: 2, Loss: 5.2076640129089355
Batch: 3, Loss: 5.193737030029297
Batch: 4, Loss: 5.0684027671813965
Batch: 5, Loss: 4.45233154296875
Batch: 6, Loss: 4.410012722015381
Batch: 7, Loss: 4.706449031829834
Batch: 8, Loss: 4.956592082977295
Batch: 9, Loss: 5.231266021728516
Batch: 10, Loss: 4.850652694702148
Batch: 11, Loss: 5.039432048797607
Batch: 12, Loss: 4.6973395347595215
Batch: 13, Loss: 4.714035511016846
Batch: 14, Loss: 4.827061176300049

Epoch 1141 out of 2000Batch: 1, Loss: 4.948758602142334
Batch: 2, Loss: 5.422238826751709
Batch: 3, Loss: 5.357584476470947
Batch: 4, Loss: 5.151735782623291
Batch: 5, Loss: 5.106810092926025
Batch: 6, Loss: 5.130965709686279
Batch: 7, Loss: 5.316505432128906
Batch: 8, Loss: 5.133174419403076
Batch: 9, Loss: 5.098323345184326
Batch: 10, Loss: 4.77255916595459
Batch: 11, Loss: 4.906543254852295
Batch: 12, Loss: 5.242779731750488
Batch: 13, Loss: 5.092623710632324
Batch: 14, Loss: 4.497383117675781

Epoch 1142 out of 2000Batch: 1, Loss: 5.772763252258301
Batch: 2, Loss: 5.24804162979126
Batch: 3, Loss: 5.504696846008301
Batch: 4, Loss: 6.113091468811035
Batch: 5, Loss: 5.083786487579346
Batch: 6, Loss: 5.534637928009033
Batch: 7, Loss: 5.608875274658203
Batch: 8, Loss: 5.5326104164123535
Batch: 9, Loss: 5.489929676055908
Batch: 10, Loss: 5.636105537414551
Batch: 11, Loss: 5.537500858306885
Batch: 12, Loss: 5.8431715965271
Batch: 13, Loss: 4.982430934906006
Batch: 14, Loss: 5.458372592926025

Epoch 1143 out of 2000Batch: 1, Loss: 5.176025390625
Batch: 2, Loss: 4.609638690948486
Batch: 3, Loss: 5.342340469360352
Batch: 4, Loss: 4.897953033447266
Batch: 5, Loss: 5.119886875152588
Batch: 6, Loss: 4.995033264160156
Batch: 7, Loss: 5.174818992614746
Batch: 8, Loss: 5.060719013214111
Batch: 9, Loss: 5.086433410644531
Batch: 10, Loss: 4.52601432800293
Batch: 11, Loss: 4.6048383712768555
Batch: 12, Loss: 4.878350734710693
Batch: 13, Loss: 4.812824249267578
Batch: 14, Loss: 4.710071086883545

Epoch 1144 out of 2000Batch: 1, Loss: 4.806797504425049
Batch: 2, Loss: 4.707736492156982
Batch: 3, Loss: 4.930275917053223
Batch: 4, Loss: 4.605279922485352
Batch: 5, Loss: 4.494093894958496
Batch: 6, Loss: 4.424330234527588
Batch: 7, Loss: 4.391907215118408
Batch: 8, Loss: 4.521438121795654
Batch: 9, Loss: 4.698368549346924
Batch: 10, Loss: 4.844941139221191
Batch: 11, Loss: 5.253500461578369
Batch: 12, Loss: 4.776067733764648
Batch: 13, Loss: 4.5907721519470215
Batch: 14, Loss: 4.6815924644470215

Epoch 1145 out of 2000Batch: 1, Loss: 4.777587890625
Batch: 2, Loss: 5.035713195800781
Batch: 3, Loss: 4.870006561279297
Batch: 4, Loss: 5.472280502319336
Batch: 5, Loss: 5.181074142456055
Batch: 6, Loss: 5.105786323547363
Batch: 7, Loss: 5.141987323760986
Batch: 8, Loss: 4.948788642883301
Batch: 9, Loss: 5.139837741851807
Batch: 10, Loss: 4.902103424072266
Batch: 11, Loss: 5.130064964294434
Batch: 12, Loss: 5.251097202301025
Batch: 13, Loss: 4.894317150115967
Batch: 14, Loss: 4.959831714630127

Epoch 1146 out of 2000Batch: 1, Loss: 4.403796195983887
Batch: 2, Loss: 4.234193801879883
Batch: 3, Loss: 4.324747085571289
Batch: 4, Loss: 4.444967746734619
Batch: 5, Loss: 4.343175411224365
Batch: 6, Loss: 3.6118288040161133
Batch: 7, Loss: 4.398174285888672
Batch: 8, Loss: 4.293864727020264
Batch: 9, Loss: 4.376414775848389
Batch: 10, Loss: 4.653642177581787
Batch: 11, Loss: 4.072287559509277
Batch: 12, Loss: 4.241708278656006
Batch: 13, Loss: 4.327706336975098
Batch: 14, Loss: 3.943546772003174

Epoch 1147 out of 2000Batch: 1, Loss: 4.260227203369141
Batch: 2, Loss: 4.296577453613281
Batch: 3, Loss: 3.939915418624878
Batch: 4, Loss: 4.358285427093506
Batch: 5, Loss: 4.1831278800964355
Batch: 6, Loss: 3.981106996536255
Batch: 7, Loss: 4.076152324676514
Batch: 8, Loss: 3.9605166912078857
Batch: 9, Loss: 3.9675488471984863
Batch: 10, Loss: 4.290864944458008
Batch: 11, Loss: 4.514591693878174
Batch: 12, Loss: 4.489619255065918
Batch: 13, Loss: 4.038821220397949
Batch: 14, Loss: 3.866816997528076

Epoch 1148 out of 2000Batch: 1, Loss: 5.502112865447998
Batch: 2, Loss: 5.407482147216797
Batch: 3, Loss: 5.275826930999756
Batch: 4, Loss: 4.903146266937256
Batch: 5, Loss: 5.420999050140381
Batch: 6, Loss: 4.9431023597717285
Batch: 7, Loss: 4.953670978546143
Batch: 8, Loss: 5.0737996101379395
Batch: 9, Loss: 5.300253868103027
Batch: 10, Loss: 4.952747821807861
Batch: 11, Loss: 5.290604591369629
Batch: 12, Loss: 4.717448711395264
Batch: 13, Loss: 4.932961940765381
Batch: 14, Loss: 5.154031276702881

Epoch 1149 out of 2000Batch: 1, Loss: 4.8053131103515625
Batch: 2, Loss: 5.109315872192383
Batch: 3, Loss: 4.897367000579834
Batch: 4, Loss: 5.266233921051025
Batch: 5, Loss: 4.656006336212158
Batch: 6, Loss: 5.083099842071533
Batch: 7, Loss: 4.972094535827637
Batch: 8, Loss: 4.883141040802002
Batch: 9, Loss: 5.0332489013671875
Batch: 10, Loss: 4.85798454284668
Batch: 11, Loss: 5.121297836303711
Batch: 12, Loss: 5.368322849273682
Batch: 13, Loss: 4.953367233276367
Batch: 14, Loss: 4.65507173538208

Epoch 1150 out of 2000Batch: 1, Loss: 3.477344512939453
Batch: 2, Loss: 3.38126540184021
Batch: 3, Loss: 3.262711524963379
Batch: 4, Loss: 3.1429924964904785
Batch: 5, Loss: 3.17991304397583
Batch: 6, Loss: 3.135568141937256
Batch: 7, Loss: 3.0862741470336914
Batch: 8, Loss: 2.9478759765625
Batch: 9, Loss: 3.244668483734131
Batch: 10, Loss: 3.0826172828674316
Batch: 11, Loss: 2.926823854446411
Batch: 12, Loss: 3.03787899017334
Batch: 13, Loss: 3.0199010372161865
Batch: 14, Loss: 3.1117258071899414

Epoch 1151 out of 2000Batch: 1, Loss: 4.511499404907227
Batch: 2, Loss: 4.1856369972229
Batch: 3, Loss: 4.668886184692383
Batch: 4, Loss: 4.299088478088379
Batch: 5, Loss: 3.9201605319976807
Batch: 6, Loss: 4.106668472290039
Batch: 7, Loss: 4.108648777008057
Batch: 8, Loss: 4.085958957672119
Batch: 9, Loss: 4.17049503326416
Batch: 10, Loss: 4.195079326629639
Batch: 11, Loss: 4.097679615020752
Batch: 12, Loss: 4.399638652801514
Batch: 13, Loss: 3.824120044708252
Batch: 14, Loss: 4.553722858428955

Epoch 1152 out of 2000Batch: 1, Loss: 5.895230770111084
Batch: 2, Loss: 5.983853340148926
Batch: 3, Loss: 5.525327205657959
Batch: 4, Loss: 5.376472473144531
Batch: 5, Loss: 5.100378513336182
Batch: 6, Loss: 5.318211078643799
Batch: 7, Loss: 5.9147210121154785
Batch: 8, Loss: 5.321264743804932
Batch: 9, Loss: 5.485792636871338
Batch: 10, Loss: 5.467408180236816
Batch: 11, Loss: 5.125595569610596
Batch: 12, Loss: 5.489664077758789
Batch: 13, Loss: 5.237675666809082
Batch: 14, Loss: 5.129904747009277

Epoch 1153 out of 2000Batch: 1, Loss: 4.922610759735107
Batch: 2, Loss: 4.672836780548096
Batch: 3, Loss: 4.399182319641113
Batch: 4, Loss: 4.986448764801025
Batch: 5, Loss: 4.5323004722595215
Batch: 6, Loss: 4.642070770263672
Batch: 7, Loss: 5.061847686767578
Batch: 8, Loss: 4.862457275390625
Batch: 9, Loss: 4.737736225128174
Batch: 10, Loss: 4.560327529907227
Batch: 11, Loss: 4.537240028381348
Batch: 12, Loss: 4.630884170532227
Batch: 13, Loss: 4.509181976318359
Batch: 14, Loss: 4.535063743591309

Epoch 1154 out of 2000Batch: 1, Loss: 4.270155429840088
Batch: 2, Loss: 4.371510982513428
Batch: 3, Loss: 4.3571624755859375
Batch: 4, Loss: 4.450667381286621
Batch: 5, Loss: 4.280241966247559
Batch: 6, Loss: 4.45708703994751
Batch: 7, Loss: 4.453712463378906
Batch: 8, Loss: 4.3065185546875
Batch: 9, Loss: 4.40478515625
Batch: 10, Loss: 4.3350348472595215
Batch: 11, Loss: 4.482903480529785
Batch: 12, Loss: 4.519111633300781
Batch: 13, Loss: 4.3822550773620605
Batch: 14, Loss: 4.20591926574707

Epoch 1155 out of 2000Batch: 1, Loss: 4.465841770172119
Batch: 2, Loss: 4.608302116394043
Batch: 3, Loss: 5.066084384918213
Batch: 4, Loss: 4.805521011352539
Batch: 5, Loss: 4.995424747467041
Batch: 6, Loss: 4.610618591308594
Batch: 7, Loss: 4.105591297149658
Batch: 8, Loss: 4.725280284881592
Batch: 9, Loss: 4.8235039710998535
Batch: 10, Loss: 4.66509485244751
Batch: 11, Loss: 4.700929164886475
Batch: 12, Loss: 4.81469202041626
Batch: 13, Loss: 4.613679885864258
Batch: 14, Loss: 4.421854019165039

Epoch 1156 out of 2000Batch: 1, Loss: 5.45286226272583
Batch: 2, Loss: 5.274848937988281
Batch: 3, Loss: 5.244866847991943
Batch: 4, Loss: 6.20534086227417
Batch: 5, Loss: 5.967631816864014
Batch: 6, Loss: 5.9829230308532715
Batch: 7, Loss: 6.094391345977783
Batch: 8, Loss: 5.408807754516602
Batch: 9, Loss: 6.015925884246826
Batch: 10, Loss: 5.459776878356934
Batch: 11, Loss: 5.681802272796631
Batch: 12, Loss: 5.200995922088623
Batch: 13, Loss: 6.047950267791748
Batch: 14, Loss: 5.496981143951416

Epoch 1157 out of 2000Batch: 1, Loss: 3.632119655609131
Batch: 2, Loss: 3.69718074798584
Batch: 3, Loss: 3.7016141414642334
Batch: 4, Loss: 3.6041054725646973
Batch: 5, Loss: 3.274103879928589
Batch: 6, Loss: 3.2058942317962646
Batch: 7, Loss: 3.4501821994781494
Batch: 8, Loss: 3.2664780616760254
Batch: 9, Loss: 3.420067310333252
Batch: 10, Loss: 2.9765868186950684
Batch: 11, Loss: 3.254223346710205
Batch: 12, Loss: 3.1942903995513916
Batch: 13, Loss: 3.244687795639038
Batch: 14, Loss: 3.171868085861206

Epoch 1158 out of 2000Batch: 1, Loss: 5.928558826446533
Batch: 2, Loss: 5.332343578338623
Batch: 3, Loss: 5.494710445404053
Batch: 4, Loss: 5.540160179138184
Batch: 5, Loss: 5.6172285079956055
Batch: 6, Loss: 5.638648986816406
Batch: 7, Loss: 5.936316967010498
Batch: 8, Loss: 4.899682998657227
Batch: 9, Loss: 5.6684746742248535
Batch: 10, Loss: 5.634641170501709
Batch: 11, Loss: 4.911161422729492
Batch: 12, Loss: 5.150284290313721
Batch: 13, Loss: 5.177943229675293
Batch: 14, Loss: 5.356551170349121

Epoch 1159 out of 2000Batch: 1, Loss: 5.396214008331299
Batch: 2, Loss: 5.089352607727051
Batch: 3, Loss: 4.883533954620361
Batch: 4, Loss: 4.98423957824707
Batch: 5, Loss: 5.234035491943359
Batch: 6, Loss: 5.245708465576172
Batch: 7, Loss: 5.335655689239502
Batch: 8, Loss: 5.565140724182129
Batch: 9, Loss: 5.0206379890441895
Batch: 10, Loss: 5.797502040863037
Batch: 11, Loss: 5.634759426116943
Batch: 12, Loss: 5.323690414428711
Batch: 13, Loss: 5.061032295227051
Batch: 14, Loss: 4.875245094299316

Epoch 1160 out of 2000Batch: 1, Loss: 5.9865522384643555
Batch: 2, Loss: 6.3590874671936035
Batch: 3, Loss: 6.107406139373779
Batch: 4, Loss: 6.3682355880737305
Batch: 5, Loss: 6.2013421058654785
Batch: 6, Loss: 6.380703449249268
Batch: 7, Loss: 5.918109893798828
Batch: 8, Loss: 5.7231035232543945
Batch: 9, Loss: 6.226071357727051
Batch: 10, Loss: 6.356550693511963
Batch: 11, Loss: 5.88068151473999
Batch: 12, Loss: 5.8686017990112305
Batch: 13, Loss: 6.051984786987305
Batch: 14, Loss: 5.968169212341309

Epoch 1161 out of 2000Batch: 1, Loss: 5.458432674407959
Batch: 2, Loss: 5.199901580810547
Batch: 3, Loss: 5.153685569763184
Batch: 4, Loss: 5.383053779602051
Batch: 5, Loss: 5.2184157371521
Batch: 6, Loss: 5.1332621574401855
Batch: 7, Loss: 5.034550189971924
Batch: 8, Loss: 5.238101959228516
Batch: 9, Loss: 5.022653579711914
Batch: 10, Loss: 4.83448600769043
Batch: 11, Loss: 5.2999267578125
Batch: 12, Loss: 4.744472503662109
Batch: 13, Loss: 5.154317378997803
Batch: 14, Loss: 5.313397407531738

Epoch 1162 out of 2000Batch: 1, Loss: 4.938788414001465
Batch: 2, Loss: 4.60552453994751
Batch: 3, Loss: 4.755875110626221
Batch: 4, Loss: 4.432668685913086
Batch: 5, Loss: 4.623126029968262
Batch: 6, Loss: 4.747003555297852
Batch: 7, Loss: 4.238006591796875
Batch: 8, Loss: 4.611449718475342
Batch: 9, Loss: 4.796874523162842
Batch: 10, Loss: 4.5464982986450195
Batch: 11, Loss: 4.412789821624756
Batch: 12, Loss: 4.209543228149414
Batch: 13, Loss: 4.19943904876709
Batch: 14, Loss: 4.58658504486084

Epoch 1163 out of 2000Batch: 1, Loss: 3.4679055213928223
Batch: 2, Loss: 3.7636923789978027
Batch: 3, Loss: 3.7405781745910645
Batch: 4, Loss: 3.7471702098846436
Batch: 5, Loss: 3.6568236351013184
Batch: 6, Loss: 4.208548069000244
Batch: 7, Loss: 3.7808680534362793
Batch: 8, Loss: 3.4531874656677246
Batch: 9, Loss: 3.2050833702087402
Batch: 10, Loss: 3.5871737003326416
Batch: 11, Loss: 3.6638307571411133
Batch: 12, Loss: 3.6303341388702393
Batch: 13, Loss: 3.435683012008667
Batch: 14, Loss: 3.256819248199463

Epoch 1164 out of 2000Batch: 1, Loss: 5.4105048179626465
Batch: 2, Loss: 5.5587477684021
Batch: 3, Loss: 5.404094696044922
Batch: 4, Loss: 5.216983795166016
Batch: 5, Loss: 4.625933647155762
Batch: 6, Loss: 5.165609359741211
Batch: 7, Loss: 5.1199727058410645
Batch: 8, Loss: 5.1716156005859375
Batch: 9, Loss: 5.062685966491699
Batch: 10, Loss: 4.821898460388184
Batch: 11, Loss: 5.1298370361328125
Batch: 12, Loss: 4.881364822387695
Batch: 13, Loss: 4.983366012573242
Batch: 14, Loss: 4.91439151763916

Epoch 1165 out of 2000Batch: 1, Loss: 5.598579406738281
Batch: 2, Loss: 5.1670732498168945
Batch: 3, Loss: 4.982568264007568
Batch: 4, Loss: 5.124610424041748
Batch: 5, Loss: 4.876554489135742
Batch: 6, Loss: 5.179499626159668
Batch: 7, Loss: 4.996578693389893
Batch: 8, Loss: 5.371161937713623
Batch: 9, Loss: 4.468138217926025
Batch: 10, Loss: 4.827549457550049
Batch: 11, Loss: 5.153619289398193
Batch: 12, Loss: 5.214881896972656
Batch: 13, Loss: 5.1135735511779785
Batch: 14, Loss: 5.150932312011719

Epoch 1166 out of 2000Batch: 1, Loss: 5.50773286819458
Batch: 2, Loss: 5.605813503265381
Batch: 3, Loss: 5.2086567878723145
Batch: 4, Loss: 5.448230743408203
Batch: 5, Loss: 5.277965545654297
Batch: 6, Loss: 5.5052666664123535
Batch: 7, Loss: 5.718233108520508
Batch: 8, Loss: 5.9287214279174805
Batch: 9, Loss: 5.448017597198486
Batch: 10, Loss: 5.759738922119141
Batch: 11, Loss: 5.171787261962891
Batch: 12, Loss: 5.40452766418457
Batch: 13, Loss: 5.118269443511963
Batch: 14, Loss: 5.308740139007568

Epoch 1167 out of 2000Batch: 1, Loss: 5.183322429656982
Batch: 2, Loss: 5.367607593536377
Batch: 3, Loss: 5.162172794342041
Batch: 4, Loss: 5.333529472351074
Batch: 5, Loss: 4.9044036865234375
Batch: 6, Loss: 5.421202659606934
Batch: 7, Loss: 5.602853298187256
Batch: 8, Loss: 5.197765350341797
Batch: 9, Loss: 5.215607643127441
Batch: 10, Loss: 4.9961652755737305
Batch: 11, Loss: 5.117242813110352
Batch: 12, Loss: 5.237168312072754
Batch: 13, Loss: 4.988785743713379
Batch: 14, Loss: 5.7627034187316895

Epoch 1168 out of 2000Batch: 1, Loss: 5.747210502624512
Batch: 2, Loss: 6.310669898986816
Batch: 3, Loss: 5.916189193725586
Batch: 4, Loss: 5.918453693389893
Batch: 5, Loss: 5.62091588973999
Batch: 6, Loss: 6.115203857421875
Batch: 7, Loss: 5.566864967346191
Batch: 8, Loss: 5.319772243499756
Batch: 9, Loss: 5.958806991577148
Batch: 10, Loss: 5.695186614990234
Batch: 11, Loss: 5.781464576721191
Batch: 12, Loss: 5.663617134094238
Batch: 13, Loss: 5.4180779457092285
Batch: 14, Loss: 4.866316318511963

Epoch 1169 out of 2000Batch: 1, Loss: 4.3663763999938965
Batch: 2, Loss: 4.662639141082764
Batch: 3, Loss: 4.8376898765563965
Batch: 4, Loss: 4.543971538543701
Batch: 5, Loss: 4.392146110534668
Batch: 6, Loss: 4.396927356719971
Batch: 7, Loss: 4.127325057983398
Batch: 8, Loss: 4.433119773864746
Batch: 9, Loss: 3.9516489505767822
Batch: 10, Loss: 4.286139011383057
Batch: 11, Loss: 4.5341477394104
Batch: 12, Loss: 3.7395217418670654
Batch: 13, Loss: 4.376616477966309
Batch: 14, Loss: 4.365551471710205

Epoch 1170 out of 2000Batch: 1, Loss: 6.196155071258545
Batch: 2, Loss: 5.919846534729004
Batch: 3, Loss: 5.693853855133057
Batch: 4, Loss: 5.668203353881836
Batch: 5, Loss: 5.899131774902344
Batch: 6, Loss: 5.757893085479736
Batch: 7, Loss: 5.6397600173950195
Batch: 8, Loss: 5.602118968963623
Batch: 9, Loss: 6.19406270980835
Batch: 10, Loss: 5.541024208068848
Batch: 11, Loss: 5.816598892211914
Batch: 12, Loss: 5.330742835998535
Batch: 13, Loss: 5.6994733810424805
Batch: 14, Loss: 5.469638347625732

Epoch 1171 out of 2000Batch: 1, Loss: 5.406394004821777
Batch: 2, Loss: 5.745774269104004
Batch: 3, Loss: 6.555831432342529
Batch: 4, Loss: 6.277517795562744
Batch: 5, Loss: 6.347574710845947
Batch: 6, Loss: 5.680052757263184
Batch: 7, Loss: 6.157717704772949
Batch: 8, Loss: 6.170918941497803
Batch: 9, Loss: 6.23565149307251
Batch: 10, Loss: 6.042964458465576
Batch: 11, Loss: 5.773953437805176
Batch: 12, Loss: 6.685946464538574
Batch: 13, Loss: 5.759705543518066
Batch: 14, Loss: 6.655904769897461

Epoch 1172 out of 2000Batch: 1, Loss: 5.902859687805176
Batch: 2, Loss: 6.012997150421143
Batch: 3, Loss: 5.677413463592529
Batch: 4, Loss: 5.6579461097717285
Batch: 5, Loss: 5.193328857421875
Batch: 6, Loss: 5.475667953491211
Batch: 7, Loss: 5.7409772872924805
Batch: 8, Loss: 5.477975368499756
Batch: 9, Loss: 5.9975996017456055
Batch: 10, Loss: 5.601343631744385
Batch: 11, Loss: 5.732276916503906
Batch: 12, Loss: 5.994846343994141
Batch: 13, Loss: 5.952017307281494
Batch: 14, Loss: 5.757954120635986

Epoch 1173 out of 2000Batch: 1, Loss: 4.712591171264648
Batch: 2, Loss: 4.442785263061523
Batch: 3, Loss: 4.349994659423828
Batch: 4, Loss: 4.133580684661865
Batch: 5, Loss: 4.388472080230713
Batch: 6, Loss: 4.548303604125977
Batch: 7, Loss: 4.362896919250488
Batch: 8, Loss: 4.404448509216309
Batch: 9, Loss: 4.3736653327941895
Batch: 10, Loss: 4.116901874542236
Batch: 11, Loss: 3.990257501602173
Batch: 12, Loss: 4.222367286682129
Batch: 13, Loss: 4.214105606079102
Batch: 14, Loss: 4.399451732635498

Epoch 1174 out of 2000Batch: 1, Loss: 4.985477447509766
Batch: 2, Loss: 4.917903423309326
Batch: 3, Loss: 5.3198394775390625
Batch: 4, Loss: 5.763543128967285
Batch: 5, Loss: 5.282194137573242
Batch: 6, Loss: 5.453336238861084
Batch: 7, Loss: 4.964406490325928
Batch: 8, Loss: 4.820593357086182
Batch: 9, Loss: 5.868585109710693
Batch: 10, Loss: 5.108487606048584
Batch: 11, Loss: 5.160438060760498
Batch: 12, Loss: 5.028817653656006
Batch: 13, Loss: 5.293912410736084
Batch: 14, Loss: 4.8509063720703125

Epoch 1175 out of 2000Batch: 1, Loss: 3.5153727531433105
Batch: 2, Loss: 3.505934715270996
Batch: 3, Loss: 3.4585468769073486
Batch: 4, Loss: 3.4667229652404785
Batch: 5, Loss: 3.328678607940674
Batch: 6, Loss: 2.9439237117767334
Batch: 7, Loss: 3.337742567062378
Batch: 8, Loss: 3.080320119857788
Batch: 9, Loss: 3.53053879737854
Batch: 10, Loss: 3.3913967609405518
Batch: 11, Loss: 2.908353090286255
Batch: 12, Loss: 3.1810479164123535
Batch: 13, Loss: 2.836866855621338
Batch: 14, Loss: 3.142922878265381

Epoch 1176 out of 2000Batch: 1, Loss: 4.594290733337402
Batch: 2, Loss: 4.735262393951416
Batch: 3, Loss: 4.261845588684082
Batch: 4, Loss: 4.0613298416137695
Batch: 5, Loss: 3.919640064239502
Batch: 6, Loss: 4.1527228355407715
Batch: 7, Loss: 4.821677207946777
Batch: 8, Loss: 4.423409938812256
Batch: 9, Loss: 4.231903076171875
Batch: 10, Loss: 4.436155796051025
Batch: 11, Loss: 4.163502216339111
Batch: 12, Loss: 4.506931781768799
Batch: 13, Loss: 4.203417778015137
Batch: 14, Loss: 4.5389323234558105

Epoch 1177 out of 2000Batch: 1, Loss: 5.678421497344971
Batch: 2, Loss: 5.471982955932617
Batch: 3, Loss: 6.2540388107299805
Batch: 4, Loss: 5.598662376403809
Batch: 5, Loss: 6.210155487060547
Batch: 6, Loss: 6.0634379386901855
Batch: 7, Loss: 5.658918857574463
Batch: 8, Loss: 5.0171732902526855
Batch: 9, Loss: 5.616174697875977
Batch: 10, Loss: 5.423523902893066
Batch: 11, Loss: 5.860899925231934
Batch: 12, Loss: 5.504728317260742
Batch: 13, Loss: 5.54672384262085
Batch: 14, Loss: 5.405717849731445

Epoch 1178 out of 2000Batch: 1, Loss: 5.206956386566162
Batch: 2, Loss: 5.182342052459717
Batch: 3, Loss: 5.0791096687316895
Batch: 4, Loss: 5.4469828605651855
Batch: 5, Loss: 5.20912504196167
Batch: 6, Loss: 5.12536096572876
Batch: 7, Loss: 5.0440239906311035
Batch: 8, Loss: 5.015427589416504
Batch: 9, Loss: 4.976054668426514
Batch: 10, Loss: 4.694972038269043
Batch: 11, Loss: 5.128381729125977
Batch: 12, Loss: 4.959445953369141
Batch: 13, Loss: 5.241604804992676
Batch: 14, Loss: 4.715735912322998

Epoch 1179 out of 2000Batch: 1, Loss: 3.4981682300567627
Batch: 2, Loss: 3.5076162815093994
Batch: 3, Loss: 3.376347303390503
Batch: 4, Loss: 3.6944241523742676
Batch: 5, Loss: 3.857661485671997
Batch: 6, Loss: 3.3691635131835938
Batch: 7, Loss: 3.4445981979370117
Batch: 8, Loss: 3.6008875370025635
Batch: 9, Loss: 3.4834020137786865
Batch: 10, Loss: 3.3810808658599854
Batch: 11, Loss: 3.5804190635681152
Batch: 12, Loss: 3.3375279903411865
Batch: 13, Loss: 3.02203369140625
Batch: 14, Loss: 3.4425888061523438

Epoch 1180 out of 2000Batch: 1, Loss: 4.2656426429748535
Batch: 2, Loss: 4.442939758300781
Batch: 3, Loss: 4.700595855712891
Batch: 4, Loss: 4.421035289764404
Batch: 5, Loss: 4.131052017211914
Batch: 6, Loss: 4.113736629486084
Batch: 7, Loss: 4.577365875244141
Batch: 8, Loss: 4.428853988647461
Batch: 9, Loss: 4.2823309898376465
Batch: 10, Loss: 4.664956092834473
Batch: 11, Loss: 4.5788469314575195
Batch: 12, Loss: 4.4600067138671875
Batch: 13, Loss: 4.267149925231934
Batch: 14, Loss: 4.624993324279785

Epoch 1181 out of 2000Batch: 1, Loss: 4.156460762023926
Batch: 2, Loss: 4.030613422393799
Batch: 3, Loss: 4.165215969085693
Batch: 4, Loss: 4.117010116577148
Batch: 5, Loss: 3.8352622985839844
Batch: 6, Loss: 4.011600971221924
Batch: 7, Loss: 4.120500087738037
Batch: 8, Loss: 4.1218061447143555
Batch: 9, Loss: 4.142261505126953
Batch: 10, Loss: 3.9144718647003174
Batch: 11, Loss: 4.337134838104248
Batch: 12, Loss: 4.0979437828063965
Batch: 13, Loss: 4.1905035972595215
Batch: 14, Loss: 4.101301670074463

Epoch 1182 out of 2000Batch: 1, Loss: 5.2658257484436035
Batch: 2, Loss: 5.0100417137146
Batch: 3, Loss: 5.654580116271973
Batch: 4, Loss: 5.869808673858643
Batch: 5, Loss: 5.545414447784424
Batch: 6, Loss: 5.810248851776123
Batch: 7, Loss: 5.120306968688965
Batch: 8, Loss: 4.871687412261963
Batch: 9, Loss: 5.310930252075195
Batch: 10, Loss: 5.109645366668701
Batch: 11, Loss: 5.182335376739502
Batch: 12, Loss: 5.603808879852295
Batch: 13, Loss: 5.078612804412842
Batch: 14, Loss: 5.832087516784668

Epoch 1183 out of 2000Batch: 1, Loss: 6.500612258911133
Batch: 2, Loss: 6.14335823059082
Batch: 3, Loss: 6.1898722648620605
Batch: 4, Loss: 6.299613952636719
Batch: 5, Loss: 6.213212490081787
Batch: 6, Loss: 5.929853916168213
Batch: 7, Loss: 5.60319709777832
Batch: 8, Loss: 5.418487071990967
Batch: 9, Loss: 6.073423862457275
Batch: 10, Loss: 6.205171585083008
Batch: 11, Loss: 6.191011905670166
Batch: 12, Loss: 5.901019096374512
Batch: 13, Loss: 5.37403678894043
Batch: 14, Loss: 5.469796180725098

Epoch 1184 out of 2000Batch: 1, Loss: 4.6540141105651855
Batch: 2, Loss: 5.029126167297363
Batch: 3, Loss: 5.0546488761901855
Batch: 4, Loss: 5.1801862716674805
Batch: 5, Loss: 5.070357799530029
Batch: 6, Loss: 4.999724864959717
Batch: 7, Loss: 4.886599063873291
Batch: 8, Loss: 4.798643589019775
Batch: 9, Loss: 5.141145706176758
Batch: 10, Loss: 5.105269908905029
Batch: 11, Loss: 5.098163604736328
Batch: 12, Loss: 5.194580554962158
Batch: 13, Loss: 5.074023723602295
Batch: 14, Loss: 4.811809539794922

Epoch 1185 out of 2000Batch: 1, Loss: 5.273769378662109
Batch: 2, Loss: 5.2669997215271
Batch: 3, Loss: 5.354410648345947
Batch: 4, Loss: 5.065150737762451
Batch: 5, Loss: 4.6596245765686035
Batch: 6, Loss: 4.337900161743164
Batch: 7, Loss: 5.156155109405518
Batch: 8, Loss: 4.598785400390625
Batch: 9, Loss: 5.133609771728516
Batch: 10, Loss: 5.497613906860352
Batch: 11, Loss: 5.302927017211914
Batch: 12, Loss: 5.292180061340332
Batch: 13, Loss: 5.28841495513916
Batch: 14, Loss: 4.482889175415039

Epoch 1186 out of 2000Batch: 1, Loss: 3.2459888458251953
Batch: 2, Loss: 3.2229995727539062
Batch: 3, Loss: 3.24958872795105
Batch: 4, Loss: 3.2830145359039307
Batch: 5, Loss: 3.3864102363586426
Batch: 6, Loss: 3.011317491531372
Batch: 7, Loss: 3.071962833404541
Batch: 8, Loss: 3.302846908569336
Batch: 9, Loss: 3.1172378063201904
Batch: 10, Loss: 2.9941978454589844
Batch: 11, Loss: 3.0442252159118652
Batch: 12, Loss: 3.271415948867798
Batch: 13, Loss: 3.2376205921173096
Batch: 14, Loss: 3.3066346645355225

Epoch 1187 out of 2000Batch: 1, Loss: 4.734076023101807
Batch: 2, Loss: 4.580134391784668
Batch: 3, Loss: 4.164033889770508
Batch: 4, Loss: 4.438337802886963
Batch: 5, Loss: 4.354069232940674
Batch: 6, Loss: 4.276020526885986
Batch: 7, Loss: 4.493246078491211
Batch: 8, Loss: 4.321408271789551
Batch: 9, Loss: 4.1536126136779785
Batch: 10, Loss: 4.4943132400512695
Batch: 11, Loss: 4.3922834396362305
Batch: 12, Loss: 4.330639839172363
Batch: 13, Loss: 4.256734848022461
Batch: 14, Loss: 4.391002178192139

Epoch 1188 out of 2000Batch: 1, Loss: 5.865850925445557
Batch: 2, Loss: 6.343906402587891
Batch: 3, Loss: 5.755144119262695
Batch: 4, Loss: 5.957096576690674
Batch: 5, Loss: 6.255297660827637
Batch: 6, Loss: 6.440500736236572
Batch: 7, Loss: 6.21734094619751
Batch: 8, Loss: 5.866603851318359
Batch: 9, Loss: 5.62589168548584
Batch: 10, Loss: 5.914417266845703
Batch: 11, Loss: 5.445835113525391
Batch: 12, Loss: 5.9992499351501465
Batch: 13, Loss: 5.828218460083008
Batch: 14, Loss: 5.600981712341309

Epoch 1189 out of 2000Batch: 1, Loss: 5.01854944229126
Batch: 2, Loss: 5.153671741485596
Batch: 3, Loss: 5.226677417755127
Batch: 4, Loss: 4.907883644104004
Batch: 5, Loss: 5.467157363891602
Batch: 6, Loss: 4.750553131103516
Batch: 7, Loss: 4.917557716369629
Batch: 8, Loss: 4.986631393432617
Batch: 9, Loss: 5.1972222328186035
Batch: 10, Loss: 4.949522495269775
Batch: 11, Loss: 4.879688739776611
Batch: 12, Loss: 4.931715488433838
Batch: 13, Loss: 5.09510612487793
Batch: 14, Loss: 4.554783344268799

Epoch 1190 out of 2000Batch: 1, Loss: 5.236891746520996
Batch: 2, Loss: 5.068777561187744
Batch: 3, Loss: 4.393741130828857
Batch: 4, Loss: 5.006985187530518
Batch: 5, Loss: 4.987170696258545
Batch: 6, Loss: 4.764040470123291
Batch: 7, Loss: 4.620477199554443
Batch: 8, Loss: 4.813141822814941
Batch: 9, Loss: 5.199145317077637
Batch: 10, Loss: 4.748027801513672
Batch: 11, Loss: 4.961390018463135
Batch: 12, Loss: 4.66520357131958
Batch: 13, Loss: 4.809903144836426
Batch: 14, Loss: 4.773379802703857

Epoch 1191 out of 2000Batch: 1, Loss: 4.895708084106445
Batch: 2, Loss: 5.194881439208984
Batch: 3, Loss: 5.346707820892334
Batch: 4, Loss: 5.301756381988525
Batch: 5, Loss: 5.026961326599121
Batch: 6, Loss: 5.373152256011963
Batch: 7, Loss: 5.378509044647217
Batch: 8, Loss: 5.052732944488525
Batch: 9, Loss: 5.4049787521362305
Batch: 10, Loss: 5.293086051940918
Batch: 11, Loss: 5.3762102127075195
Batch: 12, Loss: 5.191222190856934
Batch: 13, Loss: 5.249815940856934
Batch: 14, Loss: 4.83571195602417

Epoch 1192 out of 2000Batch: 1, Loss: 5.245413303375244
Batch: 2, Loss: 5.435559272766113
Batch: 3, Loss: 5.330007076263428
Batch: 4, Loss: 5.041194915771484
Batch: 5, Loss: 5.082812309265137
Batch: 6, Loss: 5.269886493682861
Batch: 7, Loss: 5.553375244140625
Batch: 8, Loss: 5.481932163238525
Batch: 9, Loss: 5.106962203979492
Batch: 10, Loss: 4.770242691040039
Batch: 11, Loss: 5.398348331451416
Batch: 12, Loss: 5.202913284301758
Batch: 13, Loss: 5.2170939445495605
Batch: 14, Loss: 5.250157833099365

Epoch 1193 out of 2000Batch: 1, Loss: 5.193262100219727
Batch: 2, Loss: 5.0553483963012695
Batch: 3, Loss: 5.23826789855957
Batch: 4, Loss: 5.323978900909424
Batch: 5, Loss: 5.118867874145508
Batch: 6, Loss: 4.503807067871094
Batch: 7, Loss: 4.889009475708008
Batch: 8, Loss: 4.964226245880127
Batch: 9, Loss: 4.957271099090576
Batch: 10, Loss: 5.091549873352051
Batch: 11, Loss: 5.4915771484375
Batch: 12, Loss: 4.720609664916992
Batch: 13, Loss: 4.645586013793945
Batch: 14, Loss: 5.349514484405518

Epoch 1194 out of 2000Batch: 1, Loss: 4.829550743103027
Batch: 2, Loss: 4.751108169555664
Batch: 3, Loss: 4.590007781982422
Batch: 4, Loss: 4.7365851402282715
Batch: 5, Loss: 4.7773613929748535
Batch: 6, Loss: 4.98983097076416
Batch: 7, Loss: 5.097379207611084
Batch: 8, Loss: 4.894745826721191
Batch: 9, Loss: 4.535205364227295
Batch: 10, Loss: 5.212172985076904
Batch: 11, Loss: 5.018375396728516
Batch: 12, Loss: 4.885885715484619
Batch: 13, Loss: 4.6766510009765625
Batch: 14, Loss: 4.956356525421143

Epoch 1195 out of 2000Batch: 1, Loss: 5.3094916343688965
Batch: 2, Loss: 5.6964569091796875
Batch: 3, Loss: 5.275175094604492
Batch: 4, Loss: 5.28743314743042
Batch: 5, Loss: 5.758671760559082
Batch: 6, Loss: 5.393126010894775
Batch: 7, Loss: 6.035008430480957
Batch: 8, Loss: 5.416543483734131
Batch: 9, Loss: 5.536931991577148
Batch: 10, Loss: 6.085871696472168
Batch: 11, Loss: 5.980746746063232
Batch: 12, Loss: 5.037141799926758
Batch: 13, Loss: 5.5375213623046875
Batch: 14, Loss: 5.500218391418457

Epoch 1196 out of 2000Batch: 1, Loss: 4.675277233123779
Batch: 2, Loss: 4.456688404083252
Batch: 3, Loss: 4.7854132652282715
Batch: 4, Loss: 4.670276641845703
Batch: 5, Loss: 4.766275882720947
Batch: 6, Loss: 4.705973148345947
Batch: 7, Loss: 4.625309467315674
Batch: 8, Loss: 4.49577522277832
Batch: 9, Loss: 4.991669654846191
Batch: 10, Loss: 4.303740501403809
Batch: 11, Loss: 4.484158039093018
Batch: 12, Loss: 4.625352382659912
Batch: 13, Loss: 4.5759992599487305
Batch: 14, Loss: 4.616951942443848

Epoch 1197 out of 2000Batch: 1, Loss: 5.396917343139648
Batch: 2, Loss: 5.017344951629639
Batch: 3, Loss: 5.283873558044434
Batch: 4, Loss: 5.015629768371582
Batch: 5, Loss: 4.99439811706543
Batch: 6, Loss: 5.206307888031006
Batch: 7, Loss: 4.859368801116943
Batch: 8, Loss: 5.253737449645996
Batch: 9, Loss: 4.866298198699951
Batch: 10, Loss: 5.041015148162842
Batch: 11, Loss: 5.096522808074951
Batch: 12, Loss: 5.337098598480225
Batch: 13, Loss: 5.05265998840332
Batch: 14, Loss: 5.181554317474365

Epoch 1198 out of 2000Batch: 1, Loss: 5.062819004058838
Batch: 2, Loss: 5.286831855773926
Batch: 3, Loss: 5.089507102966309
Batch: 4, Loss: 5.353612899780273
Batch: 5, Loss: 5.21956729888916
Batch: 6, Loss: 5.011302947998047
Batch: 7, Loss: 4.818453788757324
Batch: 8, Loss: 5.204998016357422
Batch: 9, Loss: 5.12021541595459
Batch: 10, Loss: 5.185984134674072
Batch: 11, Loss: 4.674647808074951
Batch: 12, Loss: 5.123126983642578
Batch: 13, Loss: 4.909999847412109
Batch: 14, Loss: 5.345103740692139

Epoch 1199 out of 2000Batch: 1, Loss: 5.358982563018799
Batch: 2, Loss: 5.295556545257568
Batch: 3, Loss: 5.1851911544799805
Batch: 4, Loss: 5.244583606719971
Batch: 5, Loss: 5.235225200653076
Batch: 6, Loss: 4.940864562988281
Batch: 7, Loss: 4.9786224365234375
Batch: 8, Loss: 5.250046730041504
Batch: 9, Loss: 5.206245422363281
Batch: 10, Loss: 5.093726634979248
Batch: 11, Loss: 5.296272277832031
Batch: 12, Loss: 5.036512851715088
Batch: 13, Loss: 5.07997465133667
Batch: 14, Loss: 5.3744916915893555

Epoch 1200 out of 2000Batch: 1, Loss: 5.362029075622559
Batch: 2, Loss: 5.039167404174805
Batch: 3, Loss: 5.8649702072143555
Batch: 4, Loss: 4.906251430511475
Batch: 5, Loss: 5.624361991882324
Batch: 6, Loss: 5.599867820739746
Batch: 7, Loss: 5.447293758392334
Batch: 8, Loss: 5.354092121124268
Batch: 9, Loss: 5.600468635559082
Batch: 10, Loss: 5.3620710372924805
Batch: 11, Loss: 5.0024871826171875
Batch: 12, Loss: 5.01338005065918
Batch: 13, Loss: 5.006948471069336
Batch: 14, Loss: 5.1046037673950195

Epoch 1201 out of 2000Batch: 1, Loss: 5.298283100128174
Batch: 2, Loss: 4.885072231292725
Batch: 3, Loss: 5.451058864593506
Batch: 4, Loss: 5.064469337463379
Batch: 5, Loss: 5.244137287139893
Batch: 6, Loss: 5.135778427124023
Batch: 7, Loss: 5.180750846862793
Batch: 8, Loss: 5.0983052253723145
Batch: 9, Loss: 5.061519622802734
Batch: 10, Loss: 5.13334846496582
Batch: 11, Loss: 4.995438575744629
Batch: 12, Loss: 5.060602188110352
Batch: 13, Loss: 5.063792705535889
Batch: 14, Loss: 5.13474178314209

Epoch 1202 out of 2000Batch: 1, Loss: 5.330528259277344
Batch: 2, Loss: 5.331474304199219
Batch: 3, Loss: 5.167809963226318
Batch: 4, Loss: 5.400676250457764
Batch: 5, Loss: 5.293913841247559
Batch: 6, Loss: 5.488342761993408
Batch: 7, Loss: 5.882757663726807
Batch: 8, Loss: 5.386809825897217
Batch: 9, Loss: 5.775683403015137
Batch: 10, Loss: 5.701570987701416
Batch: 11, Loss: 5.2345404624938965
Batch: 12, Loss: 5.853346347808838
Batch: 13, Loss: 5.338949203491211
Batch: 14, Loss: 5.8419647216796875

Epoch 1203 out of 2000Batch: 1, Loss: 4.8027849197387695
Batch: 2, Loss: 4.511100769042969
Batch: 3, Loss: 4.592164516448975
Batch: 4, Loss: 4.6429972648620605
Batch: 5, Loss: 4.659205436706543
Batch: 6, Loss: 4.535805702209473
Batch: 7, Loss: 4.811741828918457
Batch: 8, Loss: 4.246297836303711
Batch: 9, Loss: 4.759549617767334
Batch: 10, Loss: 4.787451267242432
Batch: 11, Loss: 4.6270270347595215
Batch: 12, Loss: 4.696193695068359
Batch: 13, Loss: 4.510159015655518
Batch: 14, Loss: 4.498837471008301

Epoch 1204 out of 2000Batch: 1, Loss: 4.861597061157227
Batch: 2, Loss: 4.513660907745361
Batch: 3, Loss: 4.616117000579834
Batch: 4, Loss: 4.70653772354126
Batch: 5, Loss: 4.306939601898193
Batch: 6, Loss: 4.705128192901611
Batch: 7, Loss: 4.551753997802734
Batch: 8, Loss: 4.67185640335083
Batch: 9, Loss: 4.782764434814453
Batch: 10, Loss: 4.259216785430908
Batch: 11, Loss: 4.597257137298584
Batch: 12, Loss: 4.45759391784668
Batch: 13, Loss: 4.592611789703369
Batch: 14, Loss: 4.385039329528809

Epoch 1205 out of 2000Batch: 1, Loss: 5.233763694763184
Batch: 2, Loss: 4.85789680480957
Batch: 3, Loss: 4.825228214263916
Batch: 4, Loss: 5.402194023132324
Batch: 5, Loss: 5.257338523864746
Batch: 6, Loss: 5.457798480987549
Batch: 7, Loss: 4.98274564743042
Batch: 8, Loss: 5.0260009765625
Batch: 9, Loss: 4.624448299407959
Batch: 10, Loss: 5.088344573974609
Batch: 11, Loss: 4.988036155700684
Batch: 12, Loss: 5.027756214141846
Batch: 13, Loss: 5.172911167144775
Batch: 14, Loss: 5.0458269119262695

Epoch 1206 out of 2000Batch: 1, Loss: 5.416511058807373
Batch: 2, Loss: 5.38709020614624
Batch: 3, Loss: 5.264198303222656
Batch: 4, Loss: 5.113858699798584
Batch: 5, Loss: 5.095795154571533
Batch: 6, Loss: 5.908483505249023
Batch: 7, Loss: 4.893009185791016
Batch: 8, Loss: 5.479732990264893
Batch: 9, Loss: 4.941298484802246
Batch: 10, Loss: 5.352873802185059
Batch: 11, Loss: 5.211270332336426
Batch: 12, Loss: 5.2408294677734375
Batch: 13, Loss: 5.605830669403076
Batch: 14, Loss: 5.528923511505127

Epoch 1207 out of 2000Batch: 1, Loss: 3.931990385055542
Batch: 2, Loss: 4.222695827484131
Batch: 3, Loss: 3.941373109817505
Batch: 4, Loss: 3.7822346687316895
Batch: 5, Loss: 4.112653732299805
Batch: 6, Loss: 3.693251609802246
Batch: 7, Loss: 3.925147294998169
Batch: 8, Loss: 3.8017919063568115
Batch: 9, Loss: 3.588550567626953
Batch: 10, Loss: 3.8657679557800293
Batch: 11, Loss: 3.9330570697784424
Batch: 12, Loss: 3.5889973640441895
Batch: 13, Loss: 3.8634989261627197
Batch: 14, Loss: 3.33131742477417

Epoch 1208 out of 2000Batch: 1, Loss: 5.029651165008545
Batch: 2, Loss: 5.232661247253418
Batch: 3, Loss: 4.989409923553467
Batch: 4, Loss: 5.132930755615234
Batch: 5, Loss: 4.692076683044434
Batch: 6, Loss: 4.9170708656311035
Batch: 7, Loss: 4.6105523109436035
Batch: 8, Loss: 4.867271423339844
Batch: 9, Loss: 5.0391764640808105
Batch: 10, Loss: 5.486738681793213
Batch: 11, Loss: 4.758720874786377
Batch: 12, Loss: 5.067042827606201
Batch: 13, Loss: 5.076870441436768
Batch: 14, Loss: 5.118507385253906

Epoch 1209 out of 2000Batch: 1, Loss: 4.616623401641846
Batch: 2, Loss: 4.81303596496582
Batch: 3, Loss: 5.05341911315918
Batch: 4, Loss: 4.628410816192627
Batch: 5, Loss: 4.9738945960998535
Batch: 6, Loss: 4.782731533050537
Batch: 7, Loss: 4.934975624084473
Batch: 8, Loss: 4.8783745765686035
Batch: 9, Loss: 4.958644390106201
Batch: 10, Loss: 4.633134841918945
Batch: 11, Loss: 5.164272308349609
Batch: 12, Loss: 4.8700785636901855
Batch: 13, Loss: 4.530167579650879
Batch: 14, Loss: 4.803890705108643

Epoch 1210 out of 2000Batch: 1, Loss: 4.182741165161133
Batch: 2, Loss: 4.336700439453125
Batch: 3, Loss: 4.273933410644531
Batch: 4, Loss: 4.247681617736816
Batch: 5, Loss: 3.9078946113586426
Batch: 6, Loss: 3.919286012649536
Batch: 7, Loss: 4.022215843200684
Batch: 8, Loss: 4.259127140045166
Batch: 9, Loss: 4.072474002838135
Batch: 10, Loss: 3.9559288024902344
Batch: 11, Loss: 4.35496187210083
Batch: 12, Loss: 4.115200996398926
Batch: 13, Loss: 3.7521109580993652
Batch: 14, Loss: 4.007695198059082

Epoch 1211 out of 2000Batch: 1, Loss: 5.103361129760742
Batch: 2, Loss: 5.202708721160889
Batch: 3, Loss: 5.02921199798584
Batch: 4, Loss: 5.210879802703857
Batch: 5, Loss: 4.8508453369140625
Batch: 6, Loss: 4.975645065307617
Batch: 7, Loss: 5.613600254058838
Batch: 8, Loss: 5.218986988067627
Batch: 9, Loss: 5.186049461364746
Batch: 10, Loss: 4.919270992279053
Batch: 11, Loss: 5.142301559448242
Batch: 12, Loss: 4.971173286437988
Batch: 13, Loss: 4.792584419250488
Batch: 14, Loss: 5.151728630065918

Epoch 1212 out of 2000Batch: 1, Loss: 5.777045726776123
Batch: 2, Loss: 5.985926628112793
Batch: 3, Loss: 5.850427627563477
Batch: 4, Loss: 5.0671210289001465
Batch: 5, Loss: 5.763904094696045
Batch: 6, Loss: 5.564650535583496
Batch: 7, Loss: 5.535806179046631
Batch: 8, Loss: 5.483157157897949
Batch: 9, Loss: 5.769186973571777
Batch: 10, Loss: 5.593770980834961
Batch: 11, Loss: 5.002923488616943
Batch: 12, Loss: 6.074718475341797
Batch: 13, Loss: 5.720895767211914
Batch: 14, Loss: 5.397280216217041

Epoch 1213 out of 2000Batch: 1, Loss: 4.432944297790527
Batch: 2, Loss: 4.470376968383789
Batch: 3, Loss: 4.4431023597717285
Batch: 4, Loss: 4.092196464538574
Batch: 5, Loss: 3.916290760040283
Batch: 6, Loss: 4.073663711547852
Batch: 7, Loss: 3.7661120891571045
Batch: 8, Loss: 4.140191078186035
Batch: 9, Loss: 4.392024040222168
Batch: 10, Loss: 4.005807876586914
Batch: 11, Loss: 4.110768795013428
Batch: 12, Loss: 4.134785175323486
Batch: 13, Loss: 3.784822463989258
Batch: 14, Loss: 4.040838241577148

Epoch 1214 out of 2000Batch: 1, Loss: 4.705852508544922
Batch: 2, Loss: 4.212949752807617
Batch: 3, Loss: 4.675634860992432
Batch: 4, Loss: 4.407760143280029
Batch: 5, Loss: 4.771431922912598
Batch: 6, Loss: 4.175723075866699
Batch: 7, Loss: 4.588253498077393
Batch: 8, Loss: 4.666425704956055
Batch: 9, Loss: 4.332400321960449
Batch: 10, Loss: 4.1706862449646
Batch: 11, Loss: 4.072446823120117
Batch: 12, Loss: 4.562097072601318
Batch: 13, Loss: 4.419419288635254
Batch: 14, Loss: 4.216988563537598

Epoch 1215 out of 2000Batch: 1, Loss: 5.054531574249268
Batch: 2, Loss: 4.79744291305542
Batch: 3, Loss: 5.138873100280762
Batch: 4, Loss: 4.700493335723877
Batch: 5, Loss: 4.743985652923584
Batch: 6, Loss: 4.86225700378418
Batch: 7, Loss: 4.920872688293457
Batch: 8, Loss: 5.048521041870117
Batch: 9, Loss: 4.935521602630615
Batch: 10, Loss: 5.444241523742676
Batch: 11, Loss: 4.964604377746582
Batch: 12, Loss: 4.996208667755127
Batch: 13, Loss: 4.652440071105957
Batch: 14, Loss: 4.919323444366455

Epoch 1216 out of 2000Batch: 1, Loss: 4.358608722686768
Batch: 2, Loss: 4.4334564208984375
Batch: 3, Loss: 4.155450344085693
Batch: 4, Loss: 4.4705047607421875
Batch: 5, Loss: 4.356881141662598
Batch: 6, Loss: 4.172883033752441
Batch: 7, Loss: 4.167604923248291
Batch: 8, Loss: 4.20931339263916
Batch: 9, Loss: 4.398064136505127
Batch: 10, Loss: 3.8724100589752197
Batch: 11, Loss: 4.049725532531738
Batch: 12, Loss: 4.4750447273254395
Batch: 13, Loss: 3.807539701461792
Batch: 14, Loss: 3.9426369667053223

Epoch 1217 out of 2000Batch: 1, Loss: 6.001884460449219
Batch: 2, Loss: 5.634055137634277
Batch: 3, Loss: 5.744236469268799
Batch: 4, Loss: 5.714675426483154
Batch: 5, Loss: 5.75550651550293
Batch: 6, Loss: 6.05341100692749
Batch: 7, Loss: 5.735295295715332
Batch: 8, Loss: 5.519314289093018
Batch: 9, Loss: 5.532888889312744
Batch: 10, Loss: 5.100335597991943
Batch: 11, Loss: 5.710190296173096
Batch: 12, Loss: 5.200007438659668
Batch: 13, Loss: 5.765780448913574
Batch: 14, Loss: 5.226213455200195

Epoch 1218 out of 2000Batch: 1, Loss: 4.987085819244385
Batch: 2, Loss: 5.325657844543457
Batch: 3, Loss: 5.371996879577637
Batch: 4, Loss: 5.292362213134766
Batch: 5, Loss: 5.099582672119141
Batch: 6, Loss: 5.113950729370117
Batch: 7, Loss: 5.163210391998291
Batch: 8, Loss: 5.302376747131348
Batch: 9, Loss: 5.071927070617676
Batch: 10, Loss: 4.927418231964111
Batch: 11, Loss: 4.8766913414001465
Batch: 12, Loss: 5.469655513763428
Batch: 13, Loss: 4.953011989593506
Batch: 14, Loss: 5.28230619430542

Epoch 1219 out of 2000Batch: 1, Loss: 5.432754993438721
Batch: 2, Loss: 6.026132583618164
Batch: 3, Loss: 5.642149448394775
Batch: 4, Loss: 5.807871341705322
Batch: 5, Loss: 5.230445861816406
Batch: 6, Loss: 5.528981685638428
Batch: 7, Loss: 5.795607566833496
Batch: 8, Loss: 5.540022850036621
Batch: 9, Loss: 5.289294719696045
Batch: 10, Loss: 5.478414058685303
Batch: 11, Loss: 5.194500923156738
Batch: 12, Loss: 5.433901786804199
Batch: 13, Loss: 6.007012844085693
Batch: 14, Loss: 5.449551105499268

Epoch 1220 out of 2000Batch: 1, Loss: 5.266338348388672
Batch: 2, Loss: 5.688700199127197
Batch: 3, Loss: 5.624905586242676
Batch: 4, Loss: 5.3439507484436035
Batch: 5, Loss: 5.24100923538208
Batch: 6, Loss: 5.235389232635498
Batch: 7, Loss: 5.30930757522583
Batch: 8, Loss: 5.102769374847412
Batch: 9, Loss: 4.69866943359375
Batch: 10, Loss: 4.931735038757324
Batch: 11, Loss: 4.678642749786377
Batch: 12, Loss: 5.647246360778809
Batch: 13, Loss: 4.536000728607178
Batch: 14, Loss: 4.742087364196777

Epoch 1221 out of 2000Batch: 1, Loss: 4.936429500579834
Batch: 2, Loss: 5.051894187927246
Batch: 3, Loss: 4.566733360290527
Batch: 4, Loss: 4.93800687789917
Batch: 5, Loss: 4.919061183929443
Batch: 6, Loss: 4.794841766357422
Batch: 7, Loss: 4.922733783721924
Batch: 8, Loss: 4.964977264404297
Batch: 9, Loss: 4.576034069061279
Batch: 10, Loss: 5.216700553894043
Batch: 11, Loss: 4.747772216796875
Batch: 12, Loss: 4.357530117034912
Batch: 13, Loss: 4.608036041259766
Batch: 14, Loss: 4.582864761352539

Epoch 1222 out of 2000Batch: 1, Loss: 4.0996599197387695
Batch: 2, Loss: 4.27203369140625
Batch: 3, Loss: 3.9917337894439697
Batch: 4, Loss: 4.381031036376953
Batch: 5, Loss: 4.339804172515869
Batch: 6, Loss: 4.246067047119141
Batch: 7, Loss: 4.111302852630615
Batch: 8, Loss: 4.20070219039917
Batch: 9, Loss: 4.188823223114014
Batch: 10, Loss: 4.463485240936279
Batch: 11, Loss: 3.9106459617614746
Batch: 12, Loss: 4.335322380065918
Batch: 13, Loss: 3.84673810005188
Batch: 14, Loss: 4.0965447425842285

Epoch 1223 out of 2000Batch: 1, Loss: 5.265015602111816
Batch: 2, Loss: 5.577000617980957
Batch: 3, Loss: 5.319937705993652
Batch: 4, Loss: 5.426097393035889
Batch: 5, Loss: 5.649649143218994
Batch: 6, Loss: 5.033212661743164
Batch: 7, Loss: 4.754504680633545
Batch: 8, Loss: 5.243142604827881
Batch: 9, Loss: 5.303830623626709
Batch: 10, Loss: 5.031070232391357
Batch: 11, Loss: 4.955881595611572
Batch: 12, Loss: 4.928102970123291
Batch: 13, Loss: 5.5162763595581055
Batch: 14, Loss: 5.095631122589111

Epoch 1224 out of 2000Batch: 1, Loss: 4.312923431396484
Batch: 2, Loss: 4.957574367523193
Batch: 3, Loss: 4.659887313842773
Batch: 4, Loss: 4.646687984466553
Batch: 5, Loss: 4.8948774337768555
Batch: 6, Loss: 4.7691192626953125
Batch: 7, Loss: 4.284966468811035
Batch: 8, Loss: 4.974676132202148
Batch: 9, Loss: 4.652230262756348
Batch: 10, Loss: 5.079920768737793
Batch: 11, Loss: 5.038072109222412
Batch: 12, Loss: 4.489935874938965
Batch: 13, Loss: 5.048183441162109
Batch: 14, Loss: 4.623099327087402

Epoch 1225 out of 2000Batch: 1, Loss: 4.872809886932373
Batch: 2, Loss: 4.910698413848877
Batch: 3, Loss: 4.7489914894104
Batch: 4, Loss: 4.323745250701904
Batch: 5, Loss: 4.742170810699463
Batch: 6, Loss: 5.173297882080078
Batch: 7, Loss: 4.768619060516357
Batch: 8, Loss: 4.638210773468018
Batch: 9, Loss: 4.9375739097595215
Batch: 10, Loss: 4.979018688201904
Batch: 11, Loss: 4.7727532386779785
Batch: 12, Loss: 4.771605491638184
Batch: 13, Loss: 4.914417743682861
Batch: 14, Loss: 4.863509178161621

Epoch 1226 out of 2000Batch: 1, Loss: 4.512804985046387
Batch: 2, Loss: 5.088667869567871
Batch: 3, Loss: 4.602580547332764
Batch: 4, Loss: 4.524607181549072
Batch: 5, Loss: 4.375100135803223
Batch: 6, Loss: 4.523169040679932
Batch: 7, Loss: 4.61142635345459
Batch: 8, Loss: 4.2293314933776855
Batch: 9, Loss: 4.594324588775635
Batch: 10, Loss: 4.490274906158447
Batch: 11, Loss: 4.386671543121338
Batch: 12, Loss: 4.604801654815674
Batch: 13, Loss: 4.241049766540527
Batch: 14, Loss: 5.090193271636963

Epoch 1227 out of 2000Batch: 1, Loss: 4.597326755523682
Batch: 2, Loss: 4.620415210723877
Batch: 3, Loss: 4.185421466827393
Batch: 4, Loss: 4.494391441345215
Batch: 5, Loss: 4.240238189697266
Batch: 6, Loss: 4.580687522888184
Batch: 7, Loss: 4.793347358703613
Batch: 8, Loss: 4.322144508361816
Batch: 9, Loss: 4.580395221710205
Batch: 10, Loss: 4.496730327606201
Batch: 11, Loss: 4.212897777557373
Batch: 12, Loss: 4.4973883628845215
Batch: 13, Loss: 4.213303089141846
Batch: 14, Loss: 3.7985072135925293

Epoch 1228 out of 2000Batch: 1, Loss: 4.964710235595703
Batch: 2, Loss: 4.5942301750183105
Batch: 3, Loss: 5.062654972076416
Batch: 4, Loss: 4.503371238708496
Batch: 5, Loss: 4.6307573318481445
Batch: 6, Loss: 5.129504203796387
Batch: 7, Loss: 4.797481536865234
Batch: 8, Loss: 4.927804470062256
Batch: 9, Loss: 4.826740264892578
Batch: 10, Loss: 4.648130416870117
Batch: 11, Loss: 5.016542434692383
Batch: 12, Loss: 4.434044361114502
Batch: 13, Loss: 4.969507694244385
Batch: 14, Loss: 4.958251476287842

Epoch 1229 out of 2000Batch: 1, Loss: 4.511502742767334
Batch: 2, Loss: 4.061085224151611
Batch: 3, Loss: 4.4039530754089355
Batch: 4, Loss: 4.169608116149902
Batch: 5, Loss: 4.32723331451416
Batch: 6, Loss: 4.384363174438477
Batch: 7, Loss: 3.9524898529052734
Batch: 8, Loss: 3.7585625648498535
Batch: 9, Loss: 4.1664886474609375
Batch: 10, Loss: 4.028836250305176
Batch: 11, Loss: 3.946772575378418
Batch: 12, Loss: 3.8812525272369385
Batch: 13, Loss: 3.9473989009857178
Batch: 14, Loss: 4.293602466583252

Epoch 1230 out of 2000Batch: 1, Loss: 5.688424587249756
Batch: 2, Loss: 6.408904075622559
Batch: 3, Loss: 5.801980972290039
Batch: 4, Loss: 6.242037773132324
Batch: 5, Loss: 5.7866082191467285
Batch: 6, Loss: 5.468316555023193
Batch: 7, Loss: 6.277477264404297
Batch: 8, Loss: 5.541594505310059
Batch: 9, Loss: 5.579125881195068
Batch: 10, Loss: 5.751368045806885
Batch: 11, Loss: 5.378459453582764
Batch: 12, Loss: 5.9166460037231445
Batch: 13, Loss: 5.521553993225098
Batch: 14, Loss: 5.102805137634277

Epoch 1231 out of 2000Batch: 1, Loss: 5.767168998718262
Batch: 2, Loss: 5.497312545776367
Batch: 3, Loss: 5.47150993347168
Batch: 4, Loss: 5.623376846313477
Batch: 5, Loss: 5.303987503051758
Batch: 6, Loss: 5.339130878448486
Batch: 7, Loss: 5.448214054107666
Batch: 8, Loss: 5.36840295791626
Batch: 9, Loss: 5.246953010559082
Batch: 10, Loss: 5.534310817718506
Batch: 11, Loss: 5.7689948081970215
Batch: 12, Loss: 5.251710414886475
Batch: 13, Loss: 5.3198137283325195
Batch: 14, Loss: 5.489221096038818

Epoch 1232 out of 2000Batch: 1, Loss: 5.18601655960083
Batch: 2, Loss: 5.049410343170166
Batch: 3, Loss: 4.553220748901367
Batch: 4, Loss: 4.907424449920654
Batch: 5, Loss: 5.158109188079834
Batch: 6, Loss: 4.829502582550049
Batch: 7, Loss: 4.833980083465576
Batch: 8, Loss: 4.795694828033447
Batch: 9, Loss: 5.063773155212402
Batch: 10, Loss: 5.074799537658691
Batch: 11, Loss: 4.653552532196045
Batch: 12, Loss: 5.001430034637451
Batch: 13, Loss: 4.910185813903809
Batch: 14, Loss: 4.006109714508057

Epoch 1233 out of 2000Batch: 1, Loss: 5.093772888183594
Batch: 2, Loss: 5.523135662078857
Batch: 3, Loss: 4.9133124351501465
Batch: 4, Loss: 5.139955997467041
Batch: 5, Loss: 4.989577770233154
Batch: 6, Loss: 5.103579521179199
Batch: 7, Loss: 4.971296310424805
Batch: 8, Loss: 5.049055099487305
Batch: 9, Loss: 5.14577579498291
Batch: 10, Loss: 5.240055561065674
Batch: 11, Loss: 4.641913414001465
Batch: 12, Loss: 5.314092636108398
Batch: 13, Loss: 4.864411354064941
Batch: 14, Loss: 4.917884349822998

Epoch 1234 out of 2000Batch: 1, Loss: 4.7466912269592285
Batch: 2, Loss: 4.700601100921631
Batch: 3, Loss: 4.533500671386719
Batch: 4, Loss: 4.508176326751709
Batch: 5, Loss: 4.522650718688965
Batch: 6, Loss: 4.568946838378906
Batch: 7, Loss: 4.642512321472168
Batch: 8, Loss: 4.965415954589844
Batch: 9, Loss: 4.8522233963012695
Batch: 10, Loss: 4.916626453399658
Batch: 11, Loss: 4.646112442016602
Batch: 12, Loss: 4.672905445098877
Batch: 13, Loss: 4.455554962158203
Batch: 14, Loss: 5.029677867889404

Epoch 1235 out of 2000Batch: 1, Loss: 4.135129451751709
Batch: 2, Loss: 4.642873764038086
Batch: 3, Loss: 4.557526111602783
Batch: 4, Loss: 4.104818344116211
Batch: 5, Loss: 4.3444414138793945
Batch: 6, Loss: 4.809576034545898
Batch: 7, Loss: 4.53994607925415
Batch: 8, Loss: 4.400106906890869
Batch: 9, Loss: 4.101319789886475
Batch: 10, Loss: 4.270393371582031
Batch: 11, Loss: 4.532402992248535
Batch: 12, Loss: 4.403237342834473
Batch: 13, Loss: 4.357508659362793
Batch: 14, Loss: 4.259082317352295

Epoch 1236 out of 2000Batch: 1, Loss: 3.5660815238952637
Batch: 2, Loss: 3.206178665161133
Batch: 3, Loss: 3.4596669673919678
Batch: 4, Loss: 3.62660551071167
Batch: 5, Loss: 3.706956624984741
Batch: 6, Loss: 3.5229313373565674
Batch: 7, Loss: 3.2676944732666016
Batch: 8, Loss: 3.3974883556365967
Batch: 9, Loss: 3.4151530265808105
Batch: 10, Loss: 3.363828420639038
Batch: 11, Loss: 3.6999094486236572
Batch: 12, Loss: 3.3319244384765625
Batch: 13, Loss: 3.3372111320495605
Batch: 14, Loss: 3.7180230617523193

Epoch 1237 out of 2000Batch: 1, Loss: 3.260626792907715
Batch: 2, Loss: 3.9138989448547363
Batch: 3, Loss: 3.7919013500213623
Batch: 4, Loss: 3.442425012588501
Batch: 5, Loss: 3.382991075515747
Batch: 6, Loss: 3.4983859062194824
Batch: 7, Loss: 3.773407220840454
Batch: 8, Loss: 3.8614296913146973
Batch: 9, Loss: 3.800281047821045
Batch: 10, Loss: 3.6460649967193604
Batch: 11, Loss: 3.7151336669921875
Batch: 12, Loss: 3.245457172393799
Batch: 13, Loss: 3.816140651702881
Batch: 14, Loss: 3.688800811767578

Epoch 1238 out of 2000Batch: 1, Loss: 4.149812698364258
Batch: 2, Loss: 4.121445655822754
Batch: 3, Loss: 4.282103061676025
Batch: 4, Loss: 3.8213107585906982
Batch: 5, Loss: 3.8524584770202637
Batch: 6, Loss: 3.8546111583709717
Batch: 7, Loss: 3.6496241092681885
Batch: 8, Loss: 3.7837512493133545
Batch: 9, Loss: 3.721588134765625
Batch: 10, Loss: 3.9428982734680176
Batch: 11, Loss: 3.866270065307617
Batch: 12, Loss: 3.9239888191223145
Batch: 13, Loss: 3.6778688430786133
Batch: 14, Loss: 3.8573732376098633

Epoch 1239 out of 2000Batch: 1, Loss: 4.171614646911621
Batch: 2, Loss: 4.162818908691406
Batch: 3, Loss: 3.931518316268921
Batch: 4, Loss: 3.801962375640869
Batch: 5, Loss: 4.0053791999816895
Batch: 6, Loss: 3.672765016555786
Batch: 7, Loss: 3.8340964317321777
Batch: 8, Loss: 3.985069513320923
Batch: 9, Loss: 3.8284497261047363
Batch: 10, Loss: 4.056723117828369
Batch: 11, Loss: 3.850314140319824
Batch: 12, Loss: 3.4728167057037354
Batch: 13, Loss: 3.8401002883911133
Batch: 14, Loss: 3.9981582164764404

Epoch 1240 out of 2000Batch: 1, Loss: 4.784637451171875
Batch: 2, Loss: 5.165381908416748
Batch: 3, Loss: 4.874846935272217
Batch: 4, Loss: 4.670426845550537
Batch: 5, Loss: 5.32251501083374
Batch: 6, Loss: 4.835893154144287
Batch: 7, Loss: 4.518481731414795
Batch: 8, Loss: 4.650012969970703
Batch: 9, Loss: 4.739037990570068
Batch: 10, Loss: 4.620319366455078
Batch: 11, Loss: 4.733490943908691
Batch: 12, Loss: 4.645343780517578
Batch: 13, Loss: 4.666571140289307
Batch: 14, Loss: 4.67644739151001

Epoch 1241 out of 2000Batch: 1, Loss: 4.5825676918029785
Batch: 2, Loss: 5.050294399261475
Batch: 3, Loss: 5.038730144500732
Batch: 4, Loss: 4.834177494049072
Batch: 5, Loss: 4.9822564125061035
Batch: 6, Loss: 4.521547794342041
Batch: 7, Loss: 4.78203821182251
Batch: 8, Loss: 4.677123069763184
Batch: 9, Loss: 5.10549783706665
Batch: 10, Loss: 4.647911071777344
Batch: 11, Loss: 4.774251461029053
Batch: 12, Loss: 4.831817150115967
Batch: 13, Loss: 5.148221015930176
Batch: 14, Loss: 4.828936576843262

Epoch 1242 out of 2000Batch: 1, Loss: 4.947960376739502
Batch: 2, Loss: 5.166519641876221
Batch: 3, Loss: 5.119130611419678
Batch: 4, Loss: 5.1074018478393555
Batch: 5, Loss: 4.971508979797363
Batch: 6, Loss: 4.706515789031982
Batch: 7, Loss: 5.307168006896973
Batch: 8, Loss: 5.14525842666626
Batch: 9, Loss: 5.0637102127075195
Batch: 10, Loss: 5.029695510864258
Batch: 11, Loss: 4.904320240020752
Batch: 12, Loss: 4.967685222625732
Batch: 13, Loss: 4.820322036743164
Batch: 14, Loss: 5.251898288726807

Epoch 1243 out of 2000Batch: 1, Loss: 5.365445613861084
Batch: 2, Loss: 5.228403568267822
Batch: 3, Loss: 5.632320404052734
Batch: 4, Loss: 5.663453578948975
Batch: 5, Loss: 5.5428338050842285
Batch: 6, Loss: 5.404722213745117
Batch: 7, Loss: 5.782978057861328
Batch: 8, Loss: 5.78230094909668
Batch: 9, Loss: 5.3875885009765625
Batch: 10, Loss: 5.741597652435303
Batch: 11, Loss: 5.158937454223633
Batch: 12, Loss: 5.558192253112793
Batch: 13, Loss: 5.816635608673096
Batch: 14, Loss: 5.060941696166992

Epoch 1244 out of 2000Batch: 1, Loss: 4.68246603012085
Batch: 2, Loss: 4.590956687927246
Batch: 3, Loss: 4.569814682006836
Batch: 4, Loss: 4.663726329803467
Batch: 5, Loss: 4.801630973815918
Batch: 6, Loss: 4.518460750579834
Batch: 7, Loss: 4.63532829284668
Batch: 8, Loss: 4.73331880569458
Batch: 9, Loss: 4.701532363891602
Batch: 10, Loss: 4.595868110656738
Batch: 11, Loss: 4.711988925933838
Batch: 12, Loss: 4.481266021728516
Batch: 13, Loss: 4.370735168457031
Batch: 14, Loss: 4.3377203941345215

Epoch 1245 out of 2000Batch: 1, Loss: 5.024711608886719
Batch: 2, Loss: 4.803976058959961
Batch: 3, Loss: 4.9311394691467285
Batch: 4, Loss: 4.58929443359375
Batch: 5, Loss: 4.711440563201904
Batch: 6, Loss: 4.830324649810791
Batch: 7, Loss: 5.087989330291748
Batch: 8, Loss: 4.794070720672607
Batch: 9, Loss: 4.636447429656982
Batch: 10, Loss: 4.7671966552734375
Batch: 11, Loss: 4.207508087158203
Batch: 12, Loss: 4.5503315925598145
Batch: 13, Loss: 4.843501567840576
Batch: 14, Loss: 3.9876186847686768

Epoch 1246 out of 2000Batch: 1, Loss: 5.169187068939209
Batch: 2, Loss: 5.299392223358154
Batch: 3, Loss: 5.006229400634766
Batch: 4, Loss: 5.527751922607422
Batch: 5, Loss: 5.102928638458252
Batch: 6, Loss: 5.2343220710754395
Batch: 7, Loss: 4.88167667388916
Batch: 8, Loss: 4.827602386474609
Batch: 9, Loss: 5.085311412811279
Batch: 10, Loss: 5.350396156311035
Batch: 11, Loss: 4.669229984283447
Batch: 12, Loss: 4.896651744842529
Batch: 13, Loss: 5.2418107986450195
Batch: 14, Loss: 5.121954917907715

Epoch 1247 out of 2000Batch: 1, Loss: 4.967355251312256
Batch: 2, Loss: 5.297574043273926
Batch: 3, Loss: 5.458340644836426
Batch: 4, Loss: 5.3782639503479
Batch: 5, Loss: 4.732641220092773
Batch: 6, Loss: 4.90786075592041
Batch: 7, Loss: 4.412414073944092
Batch: 8, Loss: 5.331275463104248
Batch: 9, Loss: 4.914961338043213
Batch: 10, Loss: 4.984185218811035
Batch: 11, Loss: 5.276491641998291
Batch: 12, Loss: 5.2751874923706055
Batch: 13, Loss: 5.564199447631836
Batch: 14, Loss: 5.659146308898926

Epoch 1248 out of 2000Batch: 1, Loss: 3.1965911388397217
Batch: 2, Loss: 3.3735177516937256
Batch: 3, Loss: 3.1533021926879883
Batch: 4, Loss: 3.1826186180114746
Batch: 5, Loss: 2.8908042907714844
Batch: 6, Loss: 3.178640842437744
Batch: 7, Loss: 3.078479766845703
Batch: 8, Loss: 3.1640632152557373
Batch: 9, Loss: 2.5498039722442627
Batch: 10, Loss: 2.9433038234710693
Batch: 11, Loss: 3.0302045345306396
Batch: 12, Loss: 2.7193915843963623
Batch: 13, Loss: 2.8259904384613037
Batch: 14, Loss: 2.973334789276123

Epoch 1249 out of 2000Batch: 1, Loss: 5.693184852600098
Batch: 2, Loss: 5.632298469543457
Batch: 3, Loss: 5.691614151000977
Batch: 4, Loss: 5.908108234405518
Batch: 5, Loss: 5.565168380737305
Batch: 6, Loss: 5.662057399749756
Batch: 7, Loss: 5.431357383728027
Batch: 8, Loss: 5.567631721496582
Batch: 9, Loss: 4.9870405197143555
Batch: 10, Loss: 5.457854747772217
Batch: 11, Loss: 5.189139366149902
Batch: 12, Loss: 5.4163737297058105
Batch: 13, Loss: 5.333160877227783
Batch: 14, Loss: 5.126706600189209

Epoch 1250 out of 2000Batch: 1, Loss: 4.872254371643066
Batch: 2, Loss: 4.951219081878662
Batch: 3, Loss: 5.138105392456055
Batch: 4, Loss: 4.969529151916504
Batch: 5, Loss: 4.707655906677246
Batch: 6, Loss: 5.245793342590332
Batch: 7, Loss: 4.876115798950195
Batch: 8, Loss: 4.934450626373291
Batch: 9, Loss: 4.8828511238098145
Batch: 10, Loss: 4.580468654632568
Batch: 11, Loss: 4.968809604644775
Batch: 12, Loss: 4.723282814025879
Batch: 13, Loss: 5.1120524406433105
Batch: 14, Loss: 4.960248947143555

Epoch 1251 out of 2000Batch: 1, Loss: 4.830193519592285
Batch: 2, Loss: 4.477389812469482
Batch: 3, Loss: 4.735136985778809
Batch: 4, Loss: 4.495029449462891
Batch: 5, Loss: 4.6745524406433105
Batch: 6, Loss: 4.360978126525879
Batch: 7, Loss: 4.75748348236084
Batch: 8, Loss: 4.665746212005615
Batch: 9, Loss: 4.568670749664307
Batch: 10, Loss: 4.73541784286499
Batch: 11, Loss: 4.4950079917907715
Batch: 12, Loss: 4.6529645919799805
Batch: 13, Loss: 4.684606075286865
Batch: 14, Loss: 4.428764820098877

Epoch 1252 out of 2000Batch: 1, Loss: 4.47584342956543
Batch: 2, Loss: 4.511624336242676
Batch: 3, Loss: 4.506680011749268
Batch: 4, Loss: 4.658640384674072
Batch: 5, Loss: 4.4193291664123535
Batch: 6, Loss: 4.375288009643555
Batch: 7, Loss: 4.248289108276367
Batch: 8, Loss: 4.255778789520264
Batch: 9, Loss: 4.265665531158447
Batch: 10, Loss: 4.406963348388672
Batch: 11, Loss: 4.380290985107422
Batch: 12, Loss: 4.211849212646484
Batch: 13, Loss: 4.441281795501709
Batch: 14, Loss: 4.195986747741699

Epoch 1253 out of 2000Batch: 1, Loss: 4.6266398429870605
Batch: 2, Loss: 4.705996513366699
Batch: 3, Loss: 4.094564437866211
Batch: 4, Loss: 4.465717315673828
Batch: 5, Loss: 4.101387023925781
Batch: 6, Loss: 4.325188159942627
Batch: 7, Loss: 4.17503023147583
Batch: 8, Loss: 4.713112831115723
Batch: 9, Loss: 3.8847496509552
Batch: 10, Loss: 4.13576078414917
Batch: 11, Loss: 3.8935658931732178
Batch: 12, Loss: 4.118255138397217
Batch: 13, Loss: 4.39455509185791
Batch: 14, Loss: 4.325179576873779

Epoch 1254 out of 2000Batch: 1, Loss: 4.061131000518799
Batch: 2, Loss: 4.450634956359863
Batch: 3, Loss: 4.237400054931641
Batch: 4, Loss: 4.233933925628662
Batch: 5, Loss: 4.298089981079102
Batch: 6, Loss: 4.107489585876465
Batch: 7, Loss: 4.004121780395508
Batch: 8, Loss: 4.4275712966918945
Batch: 9, Loss: 4.185408115386963
Batch: 10, Loss: 3.991109609603882
Batch: 11, Loss: 3.748602867126465
Batch: 12, Loss: 4.257419586181641
Batch: 13, Loss: 3.895738124847412
Batch: 14, Loss: 4.344313621520996

Epoch 1255 out of 2000Batch: 1, Loss: 4.1309099197387695
Batch: 2, Loss: 4.85678243637085
Batch: 3, Loss: 4.771579742431641
Batch: 4, Loss: 4.315971374511719
Batch: 5, Loss: 4.260620594024658
Batch: 6, Loss: 4.421138763427734
Batch: 7, Loss: 4.063822269439697
Batch: 8, Loss: 4.363909721374512
Batch: 9, Loss: 4.671998023986816
Batch: 10, Loss: 4.181725025177002
Batch: 11, Loss: 4.439456939697266
Batch: 12, Loss: 4.081568717956543
Batch: 13, Loss: 4.37767219543457
Batch: 14, Loss: 3.8781723976135254

Epoch 1256 out of 2000Batch: 1, Loss: 4.596620082855225
Batch: 2, Loss: 5.28023624420166
Batch: 3, Loss: 4.844653606414795
Batch: 4, Loss: 4.698855400085449
Batch: 5, Loss: 4.59218168258667
Batch: 6, Loss: 4.276482582092285
Batch: 7, Loss: 4.723323345184326
Batch: 8, Loss: 4.586836814880371
Batch: 9, Loss: 4.847702503204346
Batch: 10, Loss: 4.902357578277588
Batch: 11, Loss: 5.03356409072876
Batch: 12, Loss: 5.199631214141846
Batch: 13, Loss: 5.275416374206543
Batch: 14, Loss: 4.831461429595947

Epoch 1257 out of 2000Batch: 1, Loss: 3.9129531383514404
Batch: 2, Loss: 4.051321983337402
Batch: 3, Loss: 3.9343559741973877
Batch: 4, Loss: 3.9211997985839844
Batch: 5, Loss: 4.151275157928467
Batch: 6, Loss: 3.8618791103363037
Batch: 7, Loss: 3.8609514236450195
Batch: 8, Loss: 3.8709733486175537
Batch: 9, Loss: 4.03114652633667
Batch: 10, Loss: 3.7115132808685303
Batch: 11, Loss: 3.943657398223877
Batch: 12, Loss: 3.783316135406494
Batch: 13, Loss: 3.6052346229553223
Batch: 14, Loss: 3.7415740489959717

Epoch 1258 out of 2000Batch: 1, Loss: 4.570059776306152
Batch: 2, Loss: 5.271441459655762
Batch: 3, Loss: 4.4642252922058105
Batch: 4, Loss: 4.9531025886535645
Batch: 5, Loss: 5.344126224517822
Batch: 6, Loss: 4.741010665893555
Batch: 7, Loss: 4.734676361083984
Batch: 8, Loss: 4.813375473022461
Batch: 9, Loss: 4.78593635559082
Batch: 10, Loss: 4.633998394012451
Batch: 11, Loss: 4.34162712097168
Batch: 12, Loss: 4.72445011138916
Batch: 13, Loss: 4.54339075088501
Batch: 14, Loss: 4.733330249786377

Epoch 1259 out of 2000Batch: 1, Loss: 4.838891983032227
Batch: 2, Loss: 4.721287727355957
Batch: 3, Loss: 4.939188480377197
Batch: 4, Loss: 4.49171257019043
Batch: 5, Loss: 4.702286243438721
Batch: 6, Loss: 5.045019626617432
Batch: 7, Loss: 4.613513946533203
Batch: 8, Loss: 4.546629428863525
Batch: 9, Loss: 5.049758434295654
Batch: 10, Loss: 4.766411304473877
Batch: 11, Loss: 4.904438018798828
Batch: 12, Loss: 4.6833343505859375
Batch: 13, Loss: 4.647878646850586
Batch: 14, Loss: 4.417219161987305

Epoch 1260 out of 2000Batch: 1, Loss: 4.513893127441406
Batch: 2, Loss: 4.4513421058654785
Batch: 3, Loss: 4.7278547286987305
Batch: 4, Loss: 4.321074485778809
Batch: 5, Loss: 4.853597640991211
Batch: 6, Loss: 4.503305912017822
Batch: 7, Loss: 4.2477030754089355
Batch: 8, Loss: 4.2593159675598145
Batch: 9, Loss: 4.6551032066345215
Batch: 10, Loss: 4.460031509399414
Batch: 11, Loss: 4.30214786529541
Batch: 12, Loss: 4.505082607269287
Batch: 13, Loss: 4.823060989379883
Batch: 14, Loss: 5.01643180847168

Epoch 1261 out of 2000Batch: 1, Loss: 4.858885765075684
Batch: 2, Loss: 5.101989269256592
Batch: 3, Loss: 4.566136837005615
Batch: 4, Loss: 5.065209865570068
Batch: 5, Loss: 5.228517055511475
Batch: 6, Loss: 5.17440938949585
Batch: 7, Loss: 4.756613731384277
Batch: 8, Loss: 5.01202392578125
Batch: 9, Loss: 4.9314985275268555
Batch: 10, Loss: 5.111555576324463
Batch: 11, Loss: 4.575500965118408
Batch: 12, Loss: 4.925571441650391
Batch: 13, Loss: 4.9122467041015625
Batch: 14, Loss: 4.585998058319092

Epoch 1262 out of 2000Batch: 1, Loss: 4.9096760749816895
Batch: 2, Loss: 4.657719135284424
Batch: 3, Loss: 5.049256801605225
Batch: 4, Loss: 4.970530986785889
Batch: 5, Loss: 5.233819484710693
Batch: 6, Loss: 5.294400215148926
Batch: 7, Loss: 5.3722615242004395
Batch: 8, Loss: 5.277018070220947
Batch: 9, Loss: 5.22742223739624
Batch: 10, Loss: 5.300488471984863
Batch: 11, Loss: 5.010620594024658
Batch: 12, Loss: 4.80429744720459
Batch: 13, Loss: 4.6180419921875
Batch: 14, Loss: 5.206524848937988

Epoch 1263 out of 2000Batch: 1, Loss: 4.405182838439941
Batch: 2, Loss: 4.5569071769714355
Batch: 3, Loss: 4.516607761383057
Batch: 4, Loss: 4.634964466094971
Batch: 5, Loss: 4.465547561645508
Batch: 6, Loss: 4.701818943023682
Batch: 7, Loss: 4.647149085998535
Batch: 8, Loss: 4.220941066741943
Batch: 9, Loss: 4.719688415527344
Batch: 10, Loss: 4.640864849090576
Batch: 11, Loss: 4.417643070220947
Batch: 12, Loss: 4.023034572601318
Batch: 13, Loss: 4.427480697631836
Batch: 14, Loss: 4.7682600021362305

Epoch 1264 out of 2000Batch: 1, Loss: 4.025885105133057
Batch: 2, Loss: 3.724384069442749
Batch: 3, Loss: 3.738771677017212
Batch: 4, Loss: 3.8887503147125244
Batch: 5, Loss: 3.576777935028076
Batch: 6, Loss: 3.711249351501465
Batch: 7, Loss: 4.021413803100586
Batch: 8, Loss: 4.022355556488037
Batch: 9, Loss: 4.02509069442749
Batch: 10, Loss: 3.858314037322998
Batch: 11, Loss: 3.7194936275482178
Batch: 12, Loss: 3.6280596256256104
Batch: 13, Loss: 3.8562984466552734
Batch: 14, Loss: 3.818082809448242

Epoch 1265 out of 2000Batch: 1, Loss: 6.5617218017578125
Batch: 2, Loss: 6.340624809265137
Batch: 3, Loss: 6.370167255401611
Batch: 4, Loss: 5.8469462394714355
Batch: 5, Loss: 6.0497918128967285
Batch: 6, Loss: 6.0378851890563965
Batch: 7, Loss: 5.817227840423584
Batch: 8, Loss: 5.6551055908203125
Batch: 9, Loss: 5.880227565765381
Batch: 10, Loss: 5.79844331741333
Batch: 11, Loss: 5.704669952392578
Batch: 12, Loss: 6.016884803771973
Batch: 13, Loss: 5.248660564422607
Batch: 14, Loss: 5.131618499755859

Epoch 1266 out of 2000Batch: 1, Loss: 5.009820938110352
Batch: 2, Loss: 5.340390205383301
Batch: 3, Loss: 5.153116226196289
Batch: 4, Loss: 5.192131519317627
Batch: 5, Loss: 4.828990936279297
Batch: 6, Loss: 5.492090702056885
Batch: 7, Loss: 5.157871246337891
Batch: 8, Loss: 4.967162132263184
Batch: 9, Loss: 4.892039775848389
Batch: 10, Loss: 4.673409938812256
Batch: 11, Loss: 4.733536720275879
Batch: 12, Loss: 4.829557418823242
Batch: 13, Loss: 4.968982696533203
Batch: 14, Loss: 5.116208553314209

Epoch 1267 out of 2000Batch: 1, Loss: 5.583108425140381
Batch: 2, Loss: 5.839399814605713
Batch: 3, Loss: 5.461770057678223
Batch: 4, Loss: 5.287057399749756
Batch: 5, Loss: 4.992659568786621
Batch: 6, Loss: 5.6532063484191895
Batch: 7, Loss: 4.892416000366211
Batch: 8, Loss: 5.441413879394531
Batch: 9, Loss: 5.36934757232666
Batch: 10, Loss: 5.416149139404297
Batch: 11, Loss: 5.506665229797363
Batch: 12, Loss: 5.679351806640625
Batch: 13, Loss: 5.354784965515137
Batch: 14, Loss: 5.338732719421387

Epoch 1268 out of 2000Batch: 1, Loss: 4.637840747833252
Batch: 2, Loss: 4.897099018096924
Batch: 3, Loss: 4.885953903198242
Batch: 4, Loss: 4.727573394775391
Batch: 5, Loss: 4.471759796142578
Batch: 6, Loss: 4.599894046783447
Batch: 7, Loss: 4.0681257247924805
Batch: 8, Loss: 4.486536979675293
Batch: 9, Loss: 4.462588787078857
Batch: 10, Loss: 4.0459699630737305
Batch: 11, Loss: 4.748469829559326
Batch: 12, Loss: 4.753974437713623
Batch: 13, Loss: 4.4630632400512695
Batch: 14, Loss: 4.6602888107299805

Epoch 1269 out of 2000Batch: 1, Loss: 5.021639347076416
Batch: 2, Loss: 4.549742221832275
Batch: 3, Loss: 4.528387546539307
Batch: 4, Loss: 4.523233890533447
Batch: 5, Loss: 4.827186107635498
Batch: 6, Loss: 4.81182861328125
Batch: 7, Loss: 4.882309436798096
Batch: 8, Loss: 5.013155937194824
Batch: 9, Loss: 4.9316630363464355
Batch: 10, Loss: 4.799919605255127
Batch: 11, Loss: 4.865764141082764
Batch: 12, Loss: 4.881539821624756
Batch: 13, Loss: 4.557887077331543
Batch: 14, Loss: 5.025432109832764

Epoch 1270 out of 2000Batch: 1, Loss: 4.414992809295654
Batch: 2, Loss: 4.529836654663086
Batch: 3, Loss: 4.48792839050293
Batch: 4, Loss: 4.675366401672363
Batch: 5, Loss: 4.170849323272705
Batch: 6, Loss: 4.189942359924316
Batch: 7, Loss: 4.341479778289795
Batch: 8, Loss: 4.329428195953369
Batch: 9, Loss: 4.432342529296875
Batch: 10, Loss: 4.217775344848633
Batch: 11, Loss: 3.925694227218628
Batch: 12, Loss: 4.044105052947998
Batch: 13, Loss: 4.301180362701416
Batch: 14, Loss: 4.381750583648682

Epoch 1271 out of 2000Batch: 1, Loss: 5.337392330169678
Batch: 2, Loss: 5.619327545166016
Batch: 3, Loss: 5.533665180206299
Batch: 4, Loss: 5.2406439781188965
Batch: 5, Loss: 5.026577949523926
Batch: 6, Loss: 5.136908054351807
Batch: 7, Loss: 5.2342305183410645
Batch: 8, Loss: 4.96137809753418
Batch: 9, Loss: 5.173201084136963
Batch: 10, Loss: 5.169488430023193
Batch: 11, Loss: 5.09500789642334
Batch: 12, Loss: 5.135860443115234
Batch: 13, Loss: 4.8121185302734375
Batch: 14, Loss: 5.679111480712891

Epoch 1272 out of 2000Batch: 1, Loss: 3.373089551925659
Batch: 2, Loss: 3.305941581726074
Batch: 3, Loss: 3.2602038383483887
Batch: 4, Loss: 3.2243130207061768
Batch: 5, Loss: 3.3245089054107666
Batch: 6, Loss: 3.0344953536987305
Batch: 7, Loss: 3.15435528755188
Batch: 8, Loss: 3.219611406326294
Batch: 9, Loss: 2.934365749359131
Batch: 10, Loss: 2.8613476753234863
Batch: 11, Loss: 2.8501789569854736
Batch: 12, Loss: 2.907137393951416
Batch: 13, Loss: 2.9973838329315186
Batch: 14, Loss: 3.0868682861328125

Epoch 1273 out of 2000Batch: 1, Loss: 3.460402011871338
Batch: 2, Loss: 3.41959810256958
Batch: 3, Loss: 3.468921184539795
Batch: 4, Loss: 3.1376805305480957
Batch: 5, Loss: 3.475545644760132
Batch: 6, Loss: 3.6357216835021973
Batch: 7, Loss: 3.2117152214050293
Batch: 8, Loss: 3.3415141105651855
Batch: 9, Loss: 3.4955477714538574
Batch: 10, Loss: 3.5234618186950684
Batch: 11, Loss: 3.5824458599090576
Batch: 12, Loss: 3.3815834522247314
Batch: 13, Loss: 3.405531644821167
Batch: 14, Loss: 3.2508883476257324

Epoch 1274 out of 2000Batch: 1, Loss: 4.389754295349121
Batch: 2, Loss: 4.079637050628662
Batch: 3, Loss: 4.336786270141602
Batch: 4, Loss: 4.350644588470459
Batch: 5, Loss: 4.151465892791748
Batch: 6, Loss: 4.0136518478393555
Batch: 7, Loss: 4.105561256408691
Batch: 8, Loss: 4.274925231933594
Batch: 9, Loss: 4.23226261138916
Batch: 10, Loss: 4.47820520401001
Batch: 11, Loss: 4.159510612487793
Batch: 12, Loss: 4.07666540145874
Batch: 13, Loss: 3.9359676837921143
Batch: 14, Loss: 4.653477668762207

Epoch 1275 out of 2000Batch: 1, Loss: 4.702049255371094
Batch: 2, Loss: 4.7594475746154785
Batch: 3, Loss: 4.528149127960205
Batch: 4, Loss: 4.677214622497559
Batch: 5, Loss: 4.544706344604492
Batch: 6, Loss: 4.355260372161865
Batch: 7, Loss: 4.817976474761963
Batch: 8, Loss: 4.332728862762451
Batch: 9, Loss: 4.874849796295166
Batch: 10, Loss: 4.632945537567139
Batch: 11, Loss: 4.6135711669921875
Batch: 12, Loss: 4.7744221687316895
Batch: 13, Loss: 4.5596818923950195
Batch: 14, Loss: 4.701517581939697

Epoch 1276 out of 2000Batch: 1, Loss: 5.44782018661499
Batch: 2, Loss: 5.4742021560668945
Batch: 3, Loss: 5.255746364593506
Batch: 4, Loss: 4.954173564910889
Batch: 5, Loss: 5.192757606506348
Batch: 6, Loss: 5.4406232833862305
Batch: 7, Loss: 5.258748531341553
Batch: 8, Loss: 5.097081184387207
Batch: 9, Loss: 4.93607234954834
Batch: 10, Loss: 5.498679161071777
Batch: 11, Loss: 5.353405475616455
Batch: 12, Loss: 5.370935916900635
Batch: 13, Loss: 5.048718452453613
Batch: 14, Loss: 5.374382972717285

Epoch 1277 out of 2000Batch: 1, Loss: 4.379031658172607
Batch: 2, Loss: 4.696202278137207
Batch: 3, Loss: 4.343339920043945
Batch: 4, Loss: 4.497528553009033
Batch: 5, Loss: 4.389408588409424
Batch: 6, Loss: 4.369563102722168
Batch: 7, Loss: 4.016574859619141
Batch: 8, Loss: 4.300289154052734
Batch: 9, Loss: 4.55577278137207
Batch: 10, Loss: 4.299554824829102
Batch: 11, Loss: 4.399628162384033
Batch: 12, Loss: 4.13948917388916
Batch: 13, Loss: 3.998018980026245
Batch: 14, Loss: 4.439803600311279

Epoch 1278 out of 2000Batch: 1, Loss: 5.025862693786621
Batch: 2, Loss: 5.148721694946289
Batch: 3, Loss: 5.862046241760254
Batch: 4, Loss: 5.89089822769165
Batch: 5, Loss: 5.0884809494018555
Batch: 6, Loss: 5.430980205535889
Batch: 7, Loss: 5.386020660400391
Batch: 8, Loss: 5.293144702911377
Batch: 9, Loss: 5.332411766052246
Batch: 10, Loss: 5.109563827514648
Batch: 11, Loss: 4.951522350311279
Batch: 12, Loss: 5.324218273162842
Batch: 13, Loss: 5.641363143920898
Batch: 14, Loss: 5.420765399932861

Epoch 1279 out of 2000Batch: 1, Loss: 4.250294208526611
Batch: 2, Loss: 4.289009094238281
Batch: 3, Loss: 4.171658992767334
Batch: 4, Loss: 3.8865838050842285
Batch: 5, Loss: 3.8421993255615234
Batch: 6, Loss: 3.9867706298828125
Batch: 7, Loss: 4.157365798950195
Batch: 8, Loss: 3.992474317550659
Batch: 9, Loss: 3.940478563308716
Batch: 10, Loss: 4.021206378936768
Batch: 11, Loss: 3.7900280952453613
Batch: 12, Loss: 3.7830140590667725
Batch: 13, Loss: 3.6660659313201904
Batch: 14, Loss: 4.185908317565918

Epoch 1280 out of 2000Batch: 1, Loss: 3.619725227355957
Batch: 2, Loss: 3.5242273807525635
Batch: 3, Loss: 3.4641270637512207
Batch: 4, Loss: 3.5595180988311768
Batch: 5, Loss: 3.564938545227051
Batch: 6, Loss: 3.175192356109619
Batch: 7, Loss: 3.2132513523101807
Batch: 8, Loss: 3.353954315185547
Batch: 9, Loss: 3.661959171295166
Batch: 10, Loss: 3.602630853652954
Batch: 11, Loss: 3.611436367034912
Batch: 12, Loss: 3.4714066982269287
Batch: 13, Loss: 3.5507428646087646
Batch: 14, Loss: 3.1209633350372314

Epoch 1281 out of 2000Batch: 1, Loss: 4.074308395385742
Batch: 2, Loss: 3.9832475185394287
Batch: 3, Loss: 4.068490982055664
Batch: 4, Loss: 4.298664569854736
Batch: 5, Loss: 4.3552727699279785
Batch: 6, Loss: 4.106300354003906
Batch: 7, Loss: 4.409905910491943
Batch: 8, Loss: 4.096554756164551
Batch: 9, Loss: 4.302396774291992
Batch: 10, Loss: 4.292288303375244
Batch: 11, Loss: 4.313816547393799
Batch: 12, Loss: 4.102171897888184
Batch: 13, Loss: 4.221871376037598
Batch: 14, Loss: 4.2259907722473145

Epoch 1282 out of 2000Batch: 1, Loss: 3.442697763442993
Batch: 2, Loss: 3.518843650817871
Batch: 3, Loss: 3.7253787517547607
Batch: 4, Loss: 3.430474281311035
Batch: 5, Loss: 3.2768170833587646
Batch: 6, Loss: 3.3530640602111816
Batch: 7, Loss: 3.3788459300994873
Batch: 8, Loss: 3.4732165336608887
Batch: 9, Loss: 2.985076665878296
Batch: 10, Loss: 3.330132484436035
Batch: 11, Loss: 3.2728641033172607
Batch: 12, Loss: 3.244608163833618
Batch: 13, Loss: 3.5041346549987793
Batch: 14, Loss: 2.939060926437378

Epoch 1283 out of 2000Batch: 1, Loss: 4.559543609619141
Batch: 2, Loss: 4.77092170715332
Batch: 3, Loss: 4.939336776733398
Batch: 4, Loss: 5.143393516540527
Batch: 5, Loss: 5.036135196685791
Batch: 6, Loss: 4.439457416534424
Batch: 7, Loss: 5.078805923461914
Batch: 8, Loss: 4.728416919708252
Batch: 9, Loss: 4.664697170257568
Batch: 10, Loss: 4.9633097648620605
Batch: 11, Loss: 4.513167381286621
Batch: 12, Loss: 4.586823463439941
Batch: 13, Loss: 4.497192859649658
Batch: 14, Loss: 4.645488739013672

Epoch 1284 out of 2000Batch: 1, Loss: 4.914654731750488
Batch: 2, Loss: 5.479259014129639
Batch: 3, Loss: 4.831040382385254
Batch: 4, Loss: 5.513426780700684
Batch: 5, Loss: 4.7868804931640625
Batch: 6, Loss: 5.010799884796143
Batch: 7, Loss: 5.2855963706970215
Batch: 8, Loss: 4.809770107269287
Batch: 9, Loss: 5.3517022132873535
Batch: 10, Loss: 4.642173767089844
Batch: 11, Loss: 4.745267868041992
Batch: 12, Loss: 4.923525333404541
Batch: 13, Loss: 5.152379989624023
Batch: 14, Loss: 5.070409774780273

Epoch 1285 out of 2000Batch: 1, Loss: 4.266147613525391
Batch: 2, Loss: 4.749359607696533
Batch: 3, Loss: 4.617101192474365
Batch: 4, Loss: 4.636496543884277
Batch: 5, Loss: 4.172908782958984
Batch: 6, Loss: 4.393625259399414
Batch: 7, Loss: 4.217929840087891
Batch: 8, Loss: 4.383729934692383
Batch: 9, Loss: 4.599190711975098
Batch: 10, Loss: 4.5334601402282715
Batch: 11, Loss: 4.366872310638428
Batch: 12, Loss: 4.4457621574401855
Batch: 13, Loss: 4.495352745056152
Batch: 14, Loss: 4.230137825012207

Epoch 1286 out of 2000Batch: 1, Loss: 3.644148826599121
Batch: 2, Loss: 3.6891627311706543
Batch: 3, Loss: 3.9354898929595947
Batch: 4, Loss: 3.775847911834717
Batch: 5, Loss: 3.652510166168213
Batch: 6, Loss: 3.6352548599243164
Batch: 7, Loss: 3.5610005855560303
Batch: 8, Loss: 3.541135787963867
Batch: 9, Loss: 3.6036670207977295
Batch: 10, Loss: 3.4828755855560303
Batch: 11, Loss: 3.593829393386841
Batch: 12, Loss: 3.4175045490264893
Batch: 13, Loss: 3.4270951747894287
Batch: 14, Loss: 3.294318675994873

Epoch 1287 out of 2000Batch: 1, Loss: 4.1485466957092285
Batch: 2, Loss: 3.905935287475586
Batch: 3, Loss: 3.879680871963501
Batch: 4, Loss: 3.6859257221221924
Batch: 5, Loss: 4.076380252838135
Batch: 6, Loss: 3.69645094871521
Batch: 7, Loss: 3.857189416885376
Batch: 8, Loss: 3.3933827877044678
Batch: 9, Loss: 3.5077714920043945
Batch: 10, Loss: 3.6475043296813965
Batch: 11, Loss: 3.5170557498931885
Batch: 12, Loss: 3.7388265132904053
Batch: 13, Loss: 3.6618096828460693
Batch: 14, Loss: 3.8825089931488037

Epoch 1288 out of 2000Batch: 1, Loss: 5.978697299957275
Batch: 2, Loss: 6.242898941040039
Batch: 3, Loss: 6.012452125549316
Batch: 4, Loss: 5.888800621032715
Batch: 5, Loss: 6.393052101135254
Batch: 6, Loss: 5.325491428375244
Batch: 7, Loss: 6.202049255371094
Batch: 8, Loss: 6.293989658355713
Batch: 9, Loss: 6.665054798126221
Batch: 10, Loss: 5.898273468017578
Batch: 11, Loss: 6.151910305023193
Batch: 12, Loss: 5.957643508911133
Batch: 13, Loss: 6.144587993621826
Batch: 14, Loss: 5.771401405334473

Epoch 1289 out of 2000Batch: 1, Loss: 4.9451375007629395
Batch: 2, Loss: 4.853278636932373
Batch: 3, Loss: 5.20749044418335
Batch: 4, Loss: 5.216984272003174
Batch: 5, Loss: 5.253478050231934
Batch: 6, Loss: 4.910785675048828
Batch: 7, Loss: 4.955785274505615
Batch: 8, Loss: 5.0856781005859375
Batch: 9, Loss: 4.8446526527404785
Batch: 10, Loss: 4.874690532684326
Batch: 11, Loss: 5.14193868637085
Batch: 12, Loss: 5.0230021476745605
Batch: 13, Loss: 5.319772243499756
Batch: 14, Loss: 4.604902744293213

Epoch 1290 out of 2000Batch: 1, Loss: 4.636660099029541
Batch: 2, Loss: 4.4087042808532715
Batch: 3, Loss: 4.729944705963135
Batch: 4, Loss: 4.136638641357422
Batch: 5, Loss: 4.432354927062988
Batch: 6, Loss: 4.428189277648926
Batch: 7, Loss: 4.388370513916016
Batch: 8, Loss: 4.0897908210754395
Batch: 9, Loss: 4.410901069641113
Batch: 10, Loss: 4.359241008758545
Batch: 11, Loss: 4.656800270080566
Batch: 12, Loss: 4.219339847564697
Batch: 13, Loss: 4.346778869628906
Batch: 14, Loss: 4.408487319946289

Epoch 1291 out of 2000Batch: 1, Loss: 4.096506118774414
Batch: 2, Loss: 3.913224220275879
Batch: 3, Loss: 3.8472254276275635
Batch: 4, Loss: 3.9484262466430664
Batch: 5, Loss: 3.7330162525177
Batch: 6, Loss: 3.996797561645508
Batch: 7, Loss: 3.948415756225586
Batch: 8, Loss: 4.003756523132324
Batch: 9, Loss: 3.8714022636413574
Batch: 10, Loss: 4.238570213317871
Batch: 11, Loss: 4.016610622406006
Batch: 12, Loss: 3.8562045097351074
Batch: 13, Loss: 3.6963677406311035
Batch: 14, Loss: 4.056914806365967

Epoch 1292 out of 2000Batch: 1, Loss: 5.244418621063232
Batch: 2, Loss: 5.413560390472412
Batch: 3, Loss: 4.939584255218506
Batch: 4, Loss: 5.160647869110107
Batch: 5, Loss: 4.865317344665527
Batch: 6, Loss: 4.522675037384033
Batch: 7, Loss: 5.1640191078186035
Batch: 8, Loss: 5.328329086303711
Batch: 9, Loss: 5.234862804412842
Batch: 10, Loss: 5.287220001220703
Batch: 11, Loss: 4.976352691650391
Batch: 12, Loss: 5.412999153137207
Batch: 13, Loss: 4.77520227432251
Batch: 14, Loss: 4.402231693267822

Epoch 1293 out of 2000Batch: 1, Loss: 3.0927414894104004
Batch: 2, Loss: 3.1769533157348633
Batch: 3, Loss: 3.3188793659210205
Batch: 4, Loss: 3.055903673171997
Batch: 5, Loss: 2.8832695484161377
Batch: 6, Loss: 2.9565184116363525
Batch: 7, Loss: 2.8279151916503906
Batch: 8, Loss: 2.624382495880127
Batch: 9, Loss: 2.9967358112335205
Batch: 10, Loss: 3.165334939956665
Batch: 11, Loss: 2.7900354862213135
Batch: 12, Loss: 3.1652262210845947
Batch: 13, Loss: 3.1099889278411865
Batch: 14, Loss: 2.5774033069610596

Epoch 1294 out of 2000Batch: 1, Loss: 5.261415481567383
Batch: 2, Loss: 5.3866448402404785
Batch: 3, Loss: 5.087420463562012
Batch: 4, Loss: 4.555695056915283
Batch: 5, Loss: 4.974931716918945
Batch: 6, Loss: 4.813378810882568
Batch: 7, Loss: 4.860769271850586
Batch: 8, Loss: 4.675121307373047
Batch: 9, Loss: 4.840496063232422
Batch: 10, Loss: 4.743851661682129
Batch: 11, Loss: 4.120883464813232
Batch: 12, Loss: 4.397828578948975
Batch: 13, Loss: 4.779933929443359
Batch: 14, Loss: 4.470093250274658

Epoch 1295 out of 2000Batch: 1, Loss: 5.265370845794678
Batch: 2, Loss: 4.997067928314209
Batch: 3, Loss: 5.140065670013428
Batch: 4, Loss: 4.634737014770508
Batch: 5, Loss: 5.123071193695068
Batch: 6, Loss: 5.072144031524658
Batch: 7, Loss: 4.579313278198242
Batch: 8, Loss: 4.674429416656494
Batch: 9, Loss: 4.716390132904053
Batch: 10, Loss: 5.111327171325684
Batch: 11, Loss: 4.7367024421691895
Batch: 12, Loss: 4.771756172180176
Batch: 13, Loss: 4.591071128845215
Batch: 14, Loss: 4.775294303894043

Epoch 1296 out of 2000Batch: 1, Loss: 5.034027576446533
Batch: 2, Loss: 5.015141487121582
Batch: 3, Loss: 5.145742893218994
Batch: 4, Loss: 5.134957790374756
Batch: 5, Loss: 4.856965065002441
Batch: 6, Loss: 4.518259048461914
Batch: 7, Loss: 5.062526702880859
Batch: 8, Loss: 4.833160400390625
Batch: 9, Loss: 4.953420162200928
Batch: 10, Loss: 4.761137008666992
Batch: 11, Loss: 4.61342716217041
Batch: 12, Loss: 4.895663261413574
Batch: 13, Loss: 4.674310207366943
Batch: 14, Loss: 4.572763919830322

Epoch 1297 out of 2000Batch: 1, Loss: 4.919610023498535
Batch: 2, Loss: 5.5506367683410645
Batch: 3, Loss: 4.8500237464904785
Batch: 4, Loss: 5.516499042510986
Batch: 5, Loss: 5.211901664733887
Batch: 6, Loss: 5.288146495819092
Batch: 7, Loss: 5.267910480499268
Batch: 8, Loss: 5.262592315673828
Batch: 9, Loss: 5.28133487701416
Batch: 10, Loss: 5.044687747955322
Batch: 11, Loss: 5.10444974899292
Batch: 12, Loss: 5.238277912139893
Batch: 13, Loss: 4.962820529937744
Batch: 14, Loss: 4.838852882385254

Epoch 1298 out of 2000Batch: 1, Loss: 4.34861946105957
Batch: 2, Loss: 4.5590643882751465
Batch: 3, Loss: 4.924083709716797
Batch: 4, Loss: 4.392175674438477
Batch: 5, Loss: 4.55157995223999
Batch: 6, Loss: 4.57843542098999
Batch: 7, Loss: 4.30625581741333
Batch: 8, Loss: 4.431730270385742
Batch: 9, Loss: 4.599132061004639
Batch: 10, Loss: 4.170341491699219
Batch: 11, Loss: 4.288599014282227
Batch: 12, Loss: 4.200068473815918
Batch: 13, Loss: 4.29686164855957
Batch: 14, Loss: 4.2987847328186035

Epoch 1299 out of 2000Batch: 1, Loss: 5.4465651512146
Batch: 2, Loss: 5.602842807769775
Batch: 3, Loss: 5.346102237701416
Batch: 4, Loss: 5.290116310119629
Batch: 5, Loss: 5.330211162567139
Batch: 6, Loss: 4.957252025604248
Batch: 7, Loss: 5.095300197601318
Batch: 8, Loss: 5.331425666809082
Batch: 9, Loss: 5.087162494659424
Batch: 10, Loss: 5.058119773864746
Batch: 11, Loss: 5.173773765563965
Batch: 12, Loss: 5.154165744781494
Batch: 13, Loss: 5.064526081085205
Batch: 14, Loss: 5.513983726501465

Epoch 1300 out of 2000Batch: 1, Loss: 4.0763325691223145
Batch: 2, Loss: 4.385599613189697
Batch: 3, Loss: 4.056188106536865
Batch: 4, Loss: 3.9603211879730225
Batch: 5, Loss: 4.001145362854004
Batch: 6, Loss: 4.126097679138184
Batch: 7, Loss: 4.389364719390869
Batch: 8, Loss: 4.202341079711914
Batch: 9, Loss: 3.7755095958709717
Batch: 10, Loss: 4.333126544952393
Batch: 11, Loss: 4.1878461837768555
Batch: 12, Loss: 3.8933348655700684
Batch: 13, Loss: 3.741943359375
Batch: 14, Loss: 4.074995994567871

Epoch 1301 out of 2000Batch: 1, Loss: 4.868778228759766
Batch: 2, Loss: 5.279708385467529
Batch: 3, Loss: 5.0649542808532715
Batch: 4, Loss: 5.213632106781006
Batch: 5, Loss: 5.068004608154297
Batch: 6, Loss: 5.489338397979736
Batch: 7, Loss: 5.375102519989014
Batch: 8, Loss: 5.149284839630127
Batch: 9, Loss: 5.2126383781433105
Batch: 10, Loss: 4.938414096832275
Batch: 11, Loss: 4.9378814697265625
Batch: 12, Loss: 5.176558017730713
Batch: 13, Loss: 4.739733695983887
Batch: 14, Loss: 4.959763526916504

Epoch 1302 out of 2000Batch: 1, Loss: 3.9845619201660156
Batch: 2, Loss: 4.085093975067139
Batch: 3, Loss: 4.2745041847229
Batch: 4, Loss: 4.2449846267700195
Batch: 5, Loss: 3.7761967182159424
Batch: 6, Loss: 4.163423538208008
Batch: 7, Loss: 4.133541107177734
Batch: 8, Loss: 4.202692985534668
Batch: 9, Loss: 4.112481117248535
Batch: 10, Loss: 4.044103622436523
Batch: 11, Loss: 4.384392261505127
Batch: 12, Loss: 3.8462352752685547
Batch: 13, Loss: 4.201724052429199
Batch: 14, Loss: 4.1980156898498535

Epoch 1303 out of 2000Batch: 1, Loss: 5.454770565032959
Batch: 2, Loss: 5.716532230377197
Batch: 3, Loss: 5.19627571105957
Batch: 4, Loss: 6.117025852203369
Batch: 5, Loss: 5.625041484832764
Batch: 6, Loss: 5.4439311027526855
Batch: 7, Loss: 4.997228622436523
Batch: 8, Loss: 5.740622520446777
Batch: 9, Loss: 5.932539939880371
Batch: 10, Loss: 5.661510944366455
Batch: 11, Loss: 5.655698776245117
Batch: 12, Loss: 5.284340858459473
Batch: 13, Loss: 5.681804180145264
Batch: 14, Loss: 5.882534503936768

Epoch 1304 out of 2000Batch: 1, Loss: 5.305228233337402
Batch: 2, Loss: 5.129940986633301
Batch: 3, Loss: 5.237817287445068
Batch: 4, Loss: 5.756211757659912
Batch: 5, Loss: 5.435676574707031
Batch: 6, Loss: 5.386965751647949
Batch: 7, Loss: 5.380466461181641
Batch: 8, Loss: 5.5334320068359375
Batch: 9, Loss: 4.860448360443115
Batch: 10, Loss: 5.590689182281494
Batch: 11, Loss: 5.4659223556518555
Batch: 12, Loss: 5.275355339050293
Batch: 13, Loss: 5.74928092956543
Batch: 14, Loss: 5.2282795906066895

Epoch 1305 out of 2000Batch: 1, Loss: 5.072939872741699
Batch: 2, Loss: 4.593540668487549
Batch: 3, Loss: 5.176014423370361
Batch: 4, Loss: 4.862207412719727
Batch: 5, Loss: 4.628329753875732
Batch: 6, Loss: 5.293423652648926
Batch: 7, Loss: 4.945779800415039
Batch: 8, Loss: 5.497217178344727
Batch: 9, Loss: 5.241312026977539
Batch: 10, Loss: 5.315398216247559
Batch: 11, Loss: 4.98777437210083
Batch: 12, Loss: 5.145540237426758
Batch: 13, Loss: 4.872533321380615
Batch: 14, Loss: 4.863157272338867

Epoch 1306 out of 2000Batch: 1, Loss: 4.47344970703125
Batch: 2, Loss: 4.350977420806885
Batch: 3, Loss: 4.4140706062316895
Batch: 4, Loss: 4.216047763824463
Batch: 5, Loss: 4.676537036895752
Batch: 6, Loss: 4.07326602935791
Batch: 7, Loss: 4.484719276428223
Batch: 8, Loss: 4.398628234863281
Batch: 9, Loss: 4.360630989074707
Batch: 10, Loss: 4.142075061798096
Batch: 11, Loss: 4.2550554275512695
Batch: 12, Loss: 4.444690704345703
Batch: 13, Loss: 4.539558410644531
Batch: 14, Loss: 4.155832290649414

Epoch 1307 out of 2000Batch: 1, Loss: 4.576019763946533
Batch: 2, Loss: 4.603701114654541
Batch: 3, Loss: 4.600644588470459
Batch: 4, Loss: 4.276301383972168
Batch: 5, Loss: 4.4083967208862305
Batch: 6, Loss: 4.503143787384033
Batch: 7, Loss: 4.515956401824951
Batch: 8, Loss: 3.796616792678833
Batch: 9, Loss: 4.553206443786621
Batch: 10, Loss: 4.201329231262207
Batch: 11, Loss: 4.472066402435303
Batch: 12, Loss: 4.613204002380371
Batch: 13, Loss: 4.624914646148682
Batch: 14, Loss: 4.186280727386475

Epoch 1308 out of 2000Batch: 1, Loss: 4.722315788269043
Batch: 2, Loss: 4.2965087890625
Batch: 3, Loss: 4.5326151847839355
Batch: 4, Loss: 4.293804168701172
Batch: 5, Loss: 4.407599449157715
Batch: 6, Loss: 4.457968235015869
Batch: 7, Loss: 4.5877366065979
Batch: 8, Loss: 4.164131164550781
Batch: 9, Loss: 4.291658878326416
Batch: 10, Loss: 4.2100019454956055
Batch: 11, Loss: 4.405855178833008
Batch: 12, Loss: 4.222308158874512
Batch: 13, Loss: 4.60397481918335
Batch: 14, Loss: 4.48841667175293

Epoch 1309 out of 2000Batch: 1, Loss: 3.871378183364868
Batch: 2, Loss: 4.068281650543213
Batch: 3, Loss: 3.7015085220336914
Batch: 4, Loss: 4.036284923553467
Batch: 5, Loss: 3.508479595184326
Batch: 6, Loss: 3.9189789295196533
Batch: 7, Loss: 3.672194242477417
Batch: 8, Loss: 3.8719675540924072
Batch: 9, Loss: 3.7397875785827637
Batch: 10, Loss: 3.9073522090911865
Batch: 11, Loss: 3.8736343383789062
Batch: 12, Loss: 3.4203202724456787
Batch: 13, Loss: 3.7115180492401123
Batch: 14, Loss: 3.830601692199707

Epoch 1310 out of 2000Batch: 1, Loss: 4.152093410491943
Batch: 2, Loss: 3.8053343296051025
Batch: 3, Loss: 3.205514669418335
Batch: 4, Loss: 3.701589822769165
Batch: 5, Loss: 3.9363253116607666
Batch: 6, Loss: 3.4959867000579834
Batch: 7, Loss: 3.6600441932678223
Batch: 8, Loss: 3.613003969192505
Batch: 9, Loss: 3.821664810180664
Batch: 10, Loss: 3.7097067832946777
Batch: 11, Loss: 3.579831838607788
Batch: 12, Loss: 3.55609130859375
Batch: 13, Loss: 3.7504477500915527
Batch: 14, Loss: 3.601233959197998

Epoch 1311 out of 2000Batch: 1, Loss: 6.352735996246338
Batch: 2, Loss: 5.369330406188965
Batch: 3, Loss: 5.989792823791504
Batch: 4, Loss: 5.879892349243164
Batch: 5, Loss: 5.41621208190918
Batch: 6, Loss: 5.352344036102295
Batch: 7, Loss: 5.793241500854492
Batch: 8, Loss: 5.149723052978516
Batch: 9, Loss: 5.347883701324463
Batch: 10, Loss: 5.377453804016113
Batch: 11, Loss: 5.472094535827637
Batch: 12, Loss: 5.2342448234558105
Batch: 13, Loss: 5.227993965148926
Batch: 14, Loss: 4.5614213943481445

Epoch 1312 out of 2000Batch: 1, Loss: 4.128861427307129
Batch: 2, Loss: 4.329234600067139
Batch: 3, Loss: 4.679481506347656
Batch: 4, Loss: 4.092350006103516
Batch: 5, Loss: 4.00856876373291
Batch: 6, Loss: 4.200749397277832
Batch: 7, Loss: 4.339437484741211
Batch: 8, Loss: 4.012776851654053
Batch: 9, Loss: 4.186556816101074
Batch: 10, Loss: 3.886867046356201
Batch: 11, Loss: 4.222294807434082
Batch: 12, Loss: 4.092057704925537
Batch: 13, Loss: 4.013227939605713
Batch: 14, Loss: 3.8751699924468994

Epoch 1313 out of 2000Batch: 1, Loss: 4.664900302886963
Batch: 2, Loss: 4.715223789215088
Batch: 3, Loss: 4.654496192932129
Batch: 4, Loss: 5.169112682342529
Batch: 5, Loss: 5.068731784820557
Batch: 6, Loss: 4.643139839172363
Batch: 7, Loss: 4.7664361000061035
Batch: 8, Loss: 4.656695365905762
Batch: 9, Loss: 4.643589973449707
Batch: 10, Loss: 4.420141696929932
Batch: 11, Loss: 4.809018135070801
Batch: 12, Loss: 4.738072395324707
Batch: 13, Loss: 4.152515411376953
Batch: 14, Loss: 4.732496738433838

Epoch 1314 out of 2000Batch: 1, Loss: 4.345400810241699
Batch: 2, Loss: 4.550199508666992
Batch: 3, Loss: 4.305437088012695
Batch: 4, Loss: 4.171162128448486
Batch: 5, Loss: 4.4580559730529785
Batch: 6, Loss: 4.460050106048584
Batch: 7, Loss: 3.9448728561401367
Batch: 8, Loss: 4.4305338859558105
Batch: 9, Loss: 4.2613301277160645
Batch: 10, Loss: 4.340742588043213
Batch: 11, Loss: 4.007870674133301
Batch: 12, Loss: 4.162247180938721
Batch: 13, Loss: 4.318414211273193
Batch: 14, Loss: 4.089608669281006

Epoch 1315 out of 2000Batch: 1, Loss: 5.782308578491211
Batch: 2, Loss: 5.108006477355957
Batch: 3, Loss: 5.239222526550293
Batch: 4, Loss: 5.3254852294921875
Batch: 5, Loss: 5.183372974395752
Batch: 6, Loss: 4.965891361236572
Batch: 7, Loss: 5.250438213348389
Batch: 8, Loss: 5.052361488342285
Batch: 9, Loss: 5.163218975067139
Batch: 10, Loss: 5.167771339416504
Batch: 11, Loss: 5.138562202453613
Batch: 12, Loss: 5.2026190757751465
Batch: 13, Loss: 5.0399298667907715
Batch: 14, Loss: 4.909539222717285

Epoch 1316 out of 2000Batch: 1, Loss: 4.325562477111816
Batch: 2, Loss: 4.220428943634033
Batch: 3, Loss: 4.472087860107422
Batch: 4, Loss: 4.229729652404785
Batch: 5, Loss: 4.104511737823486
Batch: 6, Loss: 4.014967441558838
Batch: 7, Loss: 3.900479316711426
Batch: 8, Loss: 4.069310665130615
Batch: 9, Loss: 4.0018744468688965
Batch: 10, Loss: 3.9734745025634766
Batch: 11, Loss: 4.411372184753418
Batch: 12, Loss: 4.041358947753906
Batch: 13, Loss: 3.937283992767334
Batch: 14, Loss: 4.166755676269531

Epoch 1317 out of 2000Batch: 1, Loss: 4.696030616760254
Batch: 2, Loss: 4.645269393920898
Batch: 3, Loss: 5.019139766693115
Batch: 4, Loss: 4.32692813873291
Batch: 5, Loss: 4.771660804748535
Batch: 6, Loss: 4.844142436981201
Batch: 7, Loss: 4.670587539672852
Batch: 8, Loss: 4.928231239318848
Batch: 9, Loss: 4.551528453826904
Batch: 10, Loss: 4.587366104125977
Batch: 11, Loss: 4.483893871307373
Batch: 12, Loss: 4.723470687866211
Batch: 13, Loss: 4.284152030944824
Batch: 14, Loss: 5.073392391204834

Epoch 1318 out of 2000Batch: 1, Loss: 4.776510715484619
Batch: 2, Loss: 5.1868391036987305
Batch: 3, Loss: 5.120116710662842
Batch: 4, Loss: 5.624413013458252
Batch: 5, Loss: 4.846963882446289
Batch: 6, Loss: 5.019761562347412
Batch: 7, Loss: 5.079474449157715
Batch: 8, Loss: 5.10590124130249
Batch: 9, Loss: 4.9474639892578125
Batch: 10, Loss: 5.18330717086792
Batch: 11, Loss: 5.112838268280029
Batch: 12, Loss: 4.6070942878723145
Batch: 13, Loss: 4.9491095542907715
Batch: 14, Loss: 4.90093469619751

Epoch 1319 out of 2000Batch: 1, Loss: 3.9406349658966064
Batch: 2, Loss: 4.067639350891113
Batch: 3, Loss: 4.060179710388184
Batch: 4, Loss: 3.623969554901123
Batch: 5, Loss: 3.7244884967803955
Batch: 6, Loss: 4.00419807434082
Batch: 7, Loss: 3.8936924934387207
Batch: 8, Loss: 3.7231295108795166
Batch: 9, Loss: 3.6512582302093506
Batch: 10, Loss: 4.041253566741943
Batch: 11, Loss: 3.792965888977051
Batch: 12, Loss: 3.183260440826416
Batch: 13, Loss: 3.5550780296325684
Batch: 14, Loss: 3.714362621307373

Epoch 1320 out of 2000Batch: 1, Loss: 4.993842124938965
Batch: 2, Loss: 5.239519119262695
Batch: 3, Loss: 4.6679277420043945
Batch: 4, Loss: 4.864667892456055
Batch: 5, Loss: 4.502430438995361
Batch: 6, Loss: 4.517705917358398
Batch: 7, Loss: 4.970597267150879
Batch: 8, Loss: 4.702850341796875
Batch: 9, Loss: 4.647854328155518
Batch: 10, Loss: 4.898644924163818
Batch: 11, Loss: 4.614932537078857
Batch: 12, Loss: 4.732529640197754
Batch: 13, Loss: 4.639385223388672
Batch: 14, Loss: 4.541007995605469

Epoch 1321 out of 2000Batch: 1, Loss: 3.780360221862793
Batch: 2, Loss: 3.5053274631500244
Batch: 3, Loss: 3.371720552444458
Batch: 4, Loss: 3.8311619758605957
Batch: 5, Loss: 3.6688802242279053
Batch: 6, Loss: 3.721971273422241
Batch: 7, Loss: 3.995640993118286
Batch: 8, Loss: 3.4636898040771484
Batch: 9, Loss: 3.1666653156280518
Batch: 10, Loss: 3.696383237838745
Batch: 11, Loss: 3.3460946083068848
Batch: 12, Loss: 3.0776875019073486
Batch: 13, Loss: 3.1456217765808105
Batch: 14, Loss: 3.5361342430114746