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I can only get 43.61% accuracy in Somethingv1 #4
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I'm not sure what happens. Maybe the batch-size matters. It shouldn't get so bad results using the default setting. Also you need to pay attention to the augmentation (https://github.com/chenxuluo/GST-video/blob/master/main.py#L38) if you use different label orders. |
thank u for ur reply.i use the process_dataset.py to get the category.txt,train.txt and the val.txt. so i think the label orders is not the reason. All configs of training is identical to ur papaer. |
Im sorry to desturb u again,I train ur model with the bathch = 24 again , the accuracy can got 45.6% in somethingv1, a little higher than last time ,but I still cannot got ur result .Can u open source ur trained model? This is my wechat:x18215589257. Thank u |
You can find the pretrained model here: https://drive.google.com/file/d/1q8pI3w-GnCT34hfTTCIm0TQJJaq9sT5B/view?usp=sharing |
@dreamer121121 |
I can only get 43.61% Accuracy in somethingv1, limited by my hardware i only use one GPU with batch-size = 16. why i cant get ur result ? Here is my train loss curve
![trainLoss](https://user-images.githubusercontent.com/35915584/81521704-9434c180-937a-11ea-9228-3183c89b7af8.png)
Im looking forward to ur reply
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