diff --git a/PubMed Text Classification/Dataset/README.md b/PubMed Text Classification/Dataset/README.md new file mode 100644 index 000000000..df6849f7f --- /dev/null +++ b/PubMed Text Classification/Dataset/README.md @@ -0,0 +1,33 @@ +# PubMed Multi-label Text Classification Dataset + +This dataset consists of approximately 50,000 research articles sourced from the PubMed repository. The documents in this collection have been manually annotated by Biomedical Experts with their MeSH (Medical Subject Headings) labels. Each article is described in terms of 10-15 MeSH labels. + +## Dataset Details + +- **Original Annotation:** Biomedical Experts manually annotated the documents with MeSH labels. +- **Label Space:** The original dataset had a large number of MeSH labels, resulting in an extensive output space and severe label sparsity issues. +- **MeSH Major Labels:** Each article is annotated with MeSH major labels, reducing the label space and addressing label sparsity. + +## Data Processing and Label Mapping + +To overcome the challenges of an extremely large output space and severe label sparsity, the dataset has undergone processing and mapping to its root labels. The following steps were taken: + +1. **Label Reduction:** The original MeSH labels were reduced to their major categories. +2. **Root Mapping:** The major labels were mapped to their corresponding root categories to simplify the output space. + +## Label Hierarchy + +The MeSH major labels in the dataset have been organized in a hierarchical structure, allowing for a more structured and interpretable representation of the biomedical concepts. + +## Data Statistics + +- **Number of Articles:** 50,000 +- **MeSH Labels:** Originally 10-15 per article, reduced to major labels. +- **Root Labels:** Reduced and mapped categories for more manageable classification. + + +## Acknowledgments + +I extend my gratitude to the Kaggle and Biomedical Experts who manually annotated the documents and contributed this dataset to Kaggle. + + diff --git a/PubMed Text Classification/Images/pmt1.PNG b/PubMed Text Classification/Images/pmt1.PNG new file mode 100644 index 000000000..1d71f49e4 Binary files /dev/null and b/PubMed Text Classification/Images/pmt1.PNG differ diff --git a/PubMed Text Classification/Images/pmt10.PNG b/PubMed Text Classification/Images/pmt10.PNG new file mode 100644 index 000000000..0ae959123 Binary files /dev/null and b/PubMed Text Classification/Images/pmt10.PNG differ diff --git a/PubMed Text Classification/Images/pmt2.PNG b/PubMed Text Classification/Images/pmt2.PNG new file mode 100644 index 000000000..84f98d63c Binary files /dev/null and b/PubMed Text Classification/Images/pmt2.PNG differ diff --git a/PubMed Text Classification/Images/pmt3.PNG b/PubMed Text Classification/Images/pmt3.PNG new file mode 100644 index 000000000..d8c655c24 Binary files /dev/null and b/PubMed Text Classification/Images/pmt3.PNG differ diff --git a/PubMed Text Classification/Images/pmt4.PNG b/PubMed Text Classification/Images/pmt4.PNG new file mode 100644 index 000000000..1ad6a99a9 Binary files /dev/null and b/PubMed Text Classification/Images/pmt4.PNG differ diff --git a/PubMed Text Classification/Images/pmt5.PNG b/PubMed Text Classification/Images/pmt5.PNG new file mode 100644 index 000000000..80f2418c9 Binary files /dev/null and b/PubMed Text Classification/Images/pmt5.PNG differ diff --git a/PubMed Text Classification/Images/pmt6.PNG b/PubMed Text Classification/Images/pmt6.PNG new file mode 100644 index 000000000..4da6a51e6 Binary files /dev/null and b/PubMed Text Classification/Images/pmt6.PNG differ diff --git a/PubMed Text Classification/Images/pmt7.PNG b/PubMed Text Classification/Images/pmt7.PNG new file mode 100644 index 000000000..ccb336536 Binary files /dev/null and b/PubMed Text Classification/Images/pmt7.PNG differ diff --git a/PubMed Text Classification/Images/pmt8.PNG b/PubMed Text Classification/Images/pmt8.PNG new file mode 100644 index 000000000..d92bbd096 Binary files /dev/null and b/PubMed Text Classification/Images/pmt8.PNG differ diff --git a/PubMed Text Classification/Images/pmt9.PNG b/PubMed Text Classification/Images/pmt9.PNG new file mode 100644 index 000000000..a84b443c7 Binary files /dev/null and b/PubMed Text Classification/Images/pmt9.PNG differ diff --git a/PubMed Text Classification/Model/README.md b/PubMed Text Classification/Model/README.md new file mode 100644 index 000000000..e21b45121 --- /dev/null +++ b/PubMed Text Classification/Model/README.md @@ -0,0 +1,92 @@ +# PubMed Multi-label Text Classification + +This repository contains code and models for multi-label text classification on the PubMed dataset using BioBERT, RoBERTa, and XLNet. + +## Table of Contents + +- [Dataset](#dataset) + - [Dataset Analysis](#dataset-analysis) +- [Models and Accuracies](#models-and-accuracies) +- [Training Graphs](#training-graphs) + - [Training Loss vs Number of Epochs](#training-loss-vs-number-of-epochs) + - [F1 Validation Accuracy vs Number of Epochs](#f1-validation-accuracy-vs-number-of-epochs) + - [Flat Validation Accuracy vs Number of Epochs](#flat-validation-accuracy-vs-number-of-epochs) +- [Conclusion](#conclusion) +- [Results](#results) +- [Acknowledgments](#acknowledgments) + + +## Dataset + +The dataset used in this project is available on Kaggle: [PubMed Multi-label Text Classification](https://www.kaggle.com/datasets/owaiskhan9654/pubmed-multilabel-text-classification) + +### Dataset Analysis + +Class B has the highest number of articles, as shown in the bar chart below: + +![Class Distribution](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt1.PNG) + +## Models and Accuracies + +- **BioBERT:** Achieved an accuracy of 87% +- **RoBERTa:** Achieved an accuracy of 84% +- **XLNet:** Achieved an accuracy of 85.5% + +BioBERT outperformed the other models, demonstrating its effectiveness in handling biomedical text data. + +## Training Graphs of ROBERTA + +### Training Loss vs Number of Epochs + +![Training Loss](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt2.PNG) + +### F1 Validation Accuracy vs Number of Epochs + +![F1 Validation Accuracy](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt3.PNG) + +### Flat Validation Accuracy vs Number of Epochs + +![Flat Validation Accuracy](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt4.PNG) + + +## Training Graphs of BIO-BERT + +### Training Loss vs Number of Epochs + +![Training Loss](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt5.PNG) + +### F1 Validation Accuracy vs Number of Epochs + +![F1 Validation Accuracy](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt6.PNG) + +### Flat Validation Accuracy vs Number of Epochs + +![Flat Validation Accuracy](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt7.PNG) + + +## Training Graphs of XL-NET + +### Training Loss vs Number of Epochs + +![Training Loss](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt8.PNG) + +### F1 Validation Accuracy vs Number of Epochs + +![F1 Validation Accuracy](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt9.PNG) + +### Flat Validation Accuracy vs Number of Epochs + +![Flat Validation Accuracy](https://github.com/adi271001/ML-Crate/blob/PubMed-Text/PubMed%20Text%20Classification/Images/pmt10.PNG) + +## Result +The trained models, evaluation results, classification reports and additional details can be found in the results directory. + +## Conclusion + +In conclusion, this project successfully tackled the PubMed multi-label text classification problem using BioBERT, RoBERTa, and XLNet. BioBERT emerged as the most effective model, achieving the highest accuracy. The dataset analysis revealed Class B as the category with the highest number of articles. + +The training graphs provide insights into the model's learning process, illustrating the reduction in training loss and the improvement in F1 and flat validation accuracies over epochs. + +## Acknowledgement + +Thanks to Kaggle for Providing the Dataset , Maintainers and IWOC for this beautiful opportunity diff --git a/PubMed Text Classification/Model/pubmed-text-classification.ipynb b/PubMed Text Classification/Model/pubmed-text-classification.ipynb new file mode 100644 index 000000000..7384d78dd --- /dev/null +++ b/PubMed Text Classification/Model/pubmed-text-classification.ipynb @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":3894051,"sourceType":"datasetVersion","datasetId":2312112}],"dockerImageVersionId":30648,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"! pip install -q transformers==4.24.0\n!pip install -q gradio\n!sudo apt-get install git-lfs\n!git lfs install","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:30:56.780014Z","iopub.execute_input":"2024-02-04T09:30:56.780888Z","iopub.status.idle":"2024-02-04T09:31:43.906028Z","shell.execute_reply.started":"2024-02-04T09:30:56.780855Z","shell.execute_reply":"2024-02-04T09:31:43.905078Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\nkaggle-environments 1.14.3 requires transformers>=4.33.1, but you have transformers 4.24.0 which is incompatible.\u001b[0m\u001b[31m\nReading package lists... Done\nBuilding dependency tree \nReading state information... Done\ngit-lfs is already the newest version (2.9.2-1).\n0 upgraded, 0 newly installed, 0 to remove and 30 not upgraded.\nError: Failed to call git rev-parse --git-dir: exit status 128 \nGit LFS initialized.\n","output_type":"stream"}]},{"cell_type":"code","source":"import os\nimport wandb\nimport torch\nimport pickle\nimport numpy as np\n%matplotlib inline\nimport pandas as pd\nimport gradio as gr\nimport seaborn as sns\nimport tensorflow as tf\nfrom typing import Dict\nfrom ast import literal_eval\nfrom torch.optim import AdamW\nfrom tqdm import tqdm, trange\nimport matplotlib.pyplot as plt\nfrom kaggle_secrets import UserSecretsClient\nfrom torch.nn import BCEWithLogitsLoss, BCELoss\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import MultiLabelBinarizer\nfrom keras.preprocessing.sequence import pad_sequences\nfrom torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler\nfrom sklearn.metrics import classification_report, confusion_matrix, multilabel_confusion_matrix, f1_score, accuracy_score\nfrom transformers import XLNetForSequenceClassification, XLNetTokenizer,BertForSequenceClassification,BertTokenizer, RobertaForSequenceClassification,RobertaTokenizer\n","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:31:43.908414Z","iopub.execute_input":"2024-02-04T09:31:43.908807Z","iopub.status.idle":"2024-02-04T09:32:07.828343Z","shell.execute_reply.started":"2024-02-04T09:31:43.908768Z","shell.execute_reply":"2024-02-04T09:32:07.827553Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stderr","text":"2024-02-04 09:31:55.780960: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-02-04 09:31:55.781115: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-02-04 09:31:55.929321: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"def warn(*args, **kwargs):\n pass\nimport warnings\nwarnings.warn = warn","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:07.829398Z","iopub.execute_input":"2024-02-04T09:32:07.830088Z","iopub.status.idle":"2024-02-04T09:32:07.834465Z","shell.execute_reply.started":"2024-02-04T09:32:07.830057Z","shell.execute_reply":"2024-02-04T09:32:07.833652Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"code","source":"torch.__version__","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:07.836316Z","iopub.execute_input":"2024-02-04T09:32:07.836606Z","iopub.status.idle":"2024-02-04T09:32:07.852555Z","shell.execute_reply.started":"2024-02-04T09:32:07.836582Z","shell.execute_reply":"2024-02-04T09:32:07.851744Z"},"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"'2.1.2'"},"metadata":{}}]},{"cell_type":"code","source":"device_name = tf.test.gpu_device_name()\nif device_name != '/device:GPU:0':\n raise SystemError('GPU device not found')\nprint('Found GPU at: {}'.format(device_name))","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:07.853726Z","iopub.execute_input":"2024-02-04T09:32:07.853979Z","iopub.status.idle":"2024-02-04T09:32:08.206777Z","shell.execute_reply.started":"2024-02-04T09:32:07.853957Z","shell.execute_reply":"2024-02-04T09:32:08.205722Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"Found GPU at: /device:GPU:0\n","output_type":"stream"}]},{"cell_type":"code","source":"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\nn_gpu = torch.cuda.device_count()\ntorch.cuda.get_device_name(0)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:08.207959Z","iopub.execute_input":"2024-02-04T09:32:08.208285Z","iopub.status.idle":"2024-02-04T09:32:08.221215Z","shell.execute_reply.started":"2024-02-04T09:32:08.208258Z","shell.execute_reply":"2024-02-04T09:32:08.220310Z"},"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"'Tesla T4'"},"metadata":{}}]},{"cell_type":"code","source":"try:\n from kaggle_secrets import UserSecretsClient\n user_secrets = UserSecretsClient()\n secret_value_0 = user_secrets.get_secret(\"wandb_api\")\n wandb.login(key=secret_value_0)\n anony=None\nexcept:\n anony = \"must\"\n print('If you want to use your W&B account, go to Add-ons -> Secrets and provide your W&B access token. Use the Label name as wandb_api. \\nGet your W&B access token from here: https://wandb.ai/authorize')\n \n \n \nwandb.init(project=\"Multi Label Classification of PubMed Articles (Paper Night Presentation)\",name=f\"42.Biobert-base-cased-v1.2-Run-27\")","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:08.222372Z","iopub.execute_input":"2024-02-04T09:32:08.222650Z","iopub.status.idle":"2024-02-04T09:37:54.818668Z","shell.execute_reply.started":"2024-02-04T09:32:08.222626Z","shell.execute_reply":"2024-02-04T09:37:54.817581Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"If you want to use your W&B account, go to Add-ons -> Secrets and provide your W&B access token. Use the Label name as wandb_api. \nGet your W&B access token from here: https://wandb.ai/authorize\n","output_type":"stream"},{"name":"stderr","text":"\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n\u001b[34m\u001b[1mwandb\u001b[0m: Paste an API key from your profile and hit enter, or press ctrl+c to quit:","output_type":"stream"},{"output_type":"stream","name":"stdin","text":" ········································\n"},{"name":"stderr","text":"\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"","text/html":"Tracking run with wandb version 0.16.2"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Run data is saved locally in /kaggle/working/wandb/run-20240204_093724-qnppl8m3"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Syncing run 42.Biobert-base-cased-v1.2-Run-27 to Weights & Biases (docs)
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View project at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/qnppl8m3"},"metadata":{}},{"execution_count":8,"output_type":"execute_result","data":{"text/html":"","text/plain":""},"metadata":{}}]},{"cell_type":"code","source":"dataset_Name='../input/pubmed-multilabel-text-classification/PubMed Multi Label Text Classification Dataset Processed.csv'\n\ndf= pd.read_csv(dataset_Name)\ndf.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:35:02.813299Z","iopub.execute_input":"2024-02-04T12:35:02.814149Z","iopub.status.idle":"2024-02-04T12:35:04.339720Z","shell.execute_reply.started":"2024-02-04T12:35:02.814117Z","shell.execute_reply":"2024-02-04T12:35:04.338679Z"},"trusted":true},"execution_count":78,"outputs":[{"execution_count":78,"output_type":"execute_result","data":{"text/plain":" Title \\\n0 Expression of p53 and coexistence of HPV in pr... \n1 Vitamin D status in pregnant Indian women acro... \n2 [Identification of a functionally important di... \n\n abstractText \\\n0 Fifty-four paraffin embedded tissue sections f... \n1 The present cross-sectional study was conducte... \n2 The occurrence of individual amino acids and d... \n\n meshMajor pmid \\\n0 ['DNA Probes, HPV', 'DNA, Viral', 'Female', 'H... 8549602 \n1 ['Adult', 'Alkaline Phosphatase', 'Breast Feed... 21736816 \n2 ['Amino Acid Sequence', 'Analgesics, Opioid', ... 19060934 \n\n meshid \\\n0 [['D13.444.600.223.555', 'D27.505.259.750.600.... \n1 [['M01.060.116'], ['D08.811.277.352.650.035'],... \n2 [['G02.111.570.060', 'L01.453.245.667.060'], [... \n\n meshroot A B C D E F G H \\\n0 ['Chemicals and Drugs [D]', 'Organisms [B]', '... 0 1 1 1 1 0 0 1 \n1 ['Named Groups [M]', 'Chemicals and Drugs [D]'... 0 1 1 1 1 1 1 0 \n2 ['Phenomena and Processes [G]', 'Information S... 1 1 0 1 1 0 1 0 \n\n I J L M N Z \n0 0 0 0 0 0 0 \n1 1 1 0 1 1 1 \n2 0 0 1 0 0 0 ","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCDEFGHIJLMNZ
0Expression of p53 and coexistence of HPV in pr...Fifty-four paraffin embedded tissue sections f...['DNA Probes, HPV', 'DNA, Viral', 'Female', 'H...8549602[['D13.444.600.223.555', 'D27.505.259.750.600....['Chemicals and Drugs [D]', 'Organisms [B]', '...01111001000000
1Vitamin D status in pregnant Indian women acro...The present cross-sectional study was conducte...['Adult', 'Alkaline Phosphatase', 'Breast Feed...21736816[['M01.060.116'], ['D08.811.277.352.650.035'],...['Named Groups [M]', 'Chemicals and Drugs [D]'...01111110110111
2[Identification of a functionally important di...The occurrence of individual amino acids and d...['Amino Acid Sequence', 'Analgesics, Opioid', ...19060934[['G02.111.570.060', 'L01.453.245.667.060'], [...['Phenomena and Processes [G]', 'Information S...11011010001000
\n
"},"metadata":{}}]},{"cell_type":"code","source":"print(\"Total number of Articles extracted from Bioasq dataset are =\",len(df))","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:37:57.609587Z","iopub.execute_input":"2024-02-04T09:37:57.609927Z","iopub.status.idle":"2024-02-04T09:37:57.616157Z","shell.execute_reply.started":"2024-02-04T09:37:57.609896Z","shell.execute_reply":"2024-02-04T09:37:57.615184Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"Total number of Articles extracted from Bioasq dataset are = 50000\n","output_type":"stream"}]},{"cell_type":"code","source":"print('Average Article length: ', df.abstractText.str.split().str.len().mean())\nprint('Stdev Article length: ', df.abstractText.str.split().str.len().std())","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:37:57.620983Z","iopub.execute_input":"2024-02-04T09:37:57.621295Z","iopub.status.idle":"2024-02-04T09:38:00.540338Z","shell.execute_reply.started":"2024-02-04T09:37:57.621258Z","shell.execute_reply":"2024-02-04T09:38:00.539331Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"Average Article length: 192.05284\nStdev Article length: 76.74764082329723\n","output_type":"stream"}]},{"cell_type":"code","source":"cols = df.columns\ncols = list(df.columns)\nmesh_Heading_categories = cols[6:]\nnum_labels = len(mesh_Heading_categories)\nprint('Mesh Labels Root Class: \"\\n\"',mesh_Heading_categories)\nprint(\"\\n\")\nprint('Number of Labels: ' ,num_labels)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:00.541556Z","iopub.execute_input":"2024-02-04T09:38:00.541902Z","iopub.status.idle":"2024-02-04T09:38:00.743198Z","shell.execute_reply.started":"2024-02-04T09:38:00.541869Z","shell.execute_reply":"2024-02-04T09:38:00.742088Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"Mesh Labels Root Class: \"\n\" ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'L', 'M', 'N', 'Z']\n\n\nNumber of Labels: 14\n","output_type":"stream"}]},{"cell_type":"code","source":"%%time\n\ncounts = []\nfor mesh_Heading_category in mesh_Heading_categories:\n counts.append((mesh_Heading_category, df[mesh_Heading_category].sum()))\ndf_count = pd.DataFrame(counts, columns=['Root Label', 'number of Abstract'])\ndf_count","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:00.744807Z","iopub.execute_input":"2024-02-04T09:38:00.745143Z","iopub.status.idle":"2024-02-04T09:38:00.762310Z","shell.execute_reply.started":"2024-02-04T09:38:00.745111Z","shell.execute_reply":"2024-02-04T09:38:00.761328Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"CPU times: user 2.98 ms, sys: 853 µs, total: 3.84 ms\nWall time: 3.41 ms\n","output_type":"stream"},{"execution_count":13,"output_type":"execute_result","data":{"text/plain":" Root Label number of Abstract\n0 A 23263\n1 B 46577\n2 C 26453\n3 D 31074\n4 E 39202\n5 F 8885\n6 G 33609\n7 H 6069\n8 I 5595\n9 J 5531\n10 L 7503\n11 M 21363\n12 N 22919\n13 Z 8049","text/html":"
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Root Labelnumber of Abstract
0A23263
1B46577
2C26453
3D31074
4E39202
5F8885
6G33609
7H6069
8I5595
9J5531
10L7503
11M21363
12N22919
13Z8049
\n
"},"metadata":{}}]},{"cell_type":"code","source":"%%time\nsns.set(font_scale = 1)\nplt.figure(figsize=(16,9))\nax= sns.barplot(x=mesh_Heading_categories, y=df.iloc[:,6:].sum().values)\nplt.title(\"Each Root Class\", fontsize=22)\nplt.ylabel('Number of Articles', fontsize=18)\nplt.xlabel('Root Label ', fontsize=18)\n\n#adding the text labels\nrects = ax.patches\nlabels = df.iloc[:,6:].sum().values\nfor rect, label in zip(rects, labels):\n height = rect.get_height()\n ax.text(rect.get_x() + rect.get_width()/2, height + 5, label, ha='center', va='bottom', fontsize=12)\n\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:00.763506Z","iopub.execute_input":"2024-02-04T09:38:00.763830Z","iopub.status.idle":"2024-02-04T09:38:01.250858Z","shell.execute_reply.started":"2024-02-04T09:38:00.763802Z","shell.execute_reply":"2024-02-04T09:38:01.249830Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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times: user 446 ms, sys: 4.77 ms, total: 451 ms\nWall time: 474 ms\n","output_type":"stream"}]},{"cell_type":"code","source":"df_train, df_test = train_test_split(df, random_state=32, test_size=0.20, shuffle=True)\nprint(df_train.shape)\nprint(df_test.shape)\ndel(df)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.252202Z","iopub.execute_input":"2024-02-04T09:38:01.252585Z","iopub.status.idle":"2024-02-04T09:38:01.279033Z","shell.execute_reply.started":"2024-02-04T09:38:01.252549Z","shell.execute_reply":"2024-02-04T09:38:01.278127Z"},"trusted":true},"execution_count":15,"outputs":[{"name":"stdout","text":"(40000, 20)\n(10000, 20)\n","output_type":"stream"}]},{"cell_type":"code","source":"df_train['one_hot_labels'] = list(df_train[mesh_Heading_categories].values)\ndf_train.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.280085Z","iopub.execute_input":"2024-02-04T09:38:01.280358Z","iopub.status.idle":"2024-02-04T09:38:01.316019Z","shell.execute_reply.started":"2024-02-04T09:38:01.280317Z","shell.execute_reply":"2024-02-04T09:38:01.315021Z"},"trusted":true},"execution_count":16,"outputs":[{"execution_count":16,"output_type":"execute_result","data":{"text/plain":" Title \\\n31112 Neurofibromatosis associated with a coronary a... \n48911 Phenolic constituents from Perovskia atriplici... \n16394 Motion artifact and background noise suppressi... \n\n abstractText \\\n31112 A case of a patient with type 1 neurofibromato... \n48911 Perovskoate, an isorinic acid derivative (1) a... \n16394 Optical coherence tomography (OCT) is a techni... \n\n meshMajor pmid \\\n31112 ['Aged', 'Coronary Aneurysm', 'Humans', 'Male'... 11144803 \n48911 ['Caffeic Acids', 'Catechols', 'Cholinesterase... 16644529 \n16394 ['Algorithms', 'Angiography', 'Artifacts', 'Ar... 25089975 \n\n meshid \\\n31112 [['M01.060.116.100'], ['C14.280.647.250.250', ... \n48911 [['D02.241.223.200.054'], ['D02.455.426.559.38... \n16394 [['G17.035', 'L01.224.050'], ['E01.370.350.700... \n\n meshroot A B C D ... F \\\n31112 ['Named Groups [M]', 'Diseases [C]', 'Organism... 0 1 1 0 ... 0 \n48911 ['Chemicals and Drugs [D]', 'Analytical, Diagn... 0 1 0 1 ... 0 \n16394 ['Phenomena and Processes [G]', 'Information S... 0 0 0 0 ... 0 \n\n G H I J L M N Z one_hot_labels \n31112 0 0 0 0 0 1 0 0 [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0] \n48911 1 0 0 0 0 0 0 0 [0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n16394 1 0 0 0 1 0 1 0 [0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0] \n\n[3 rows x 21 columns]","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
31112Neurofibromatosis associated with a coronary a...A case of a patient with type 1 neurofibromato...['Aged', 'Coronary Aneurysm', 'Humans', 'Male'...11144803[['M01.060.116.100'], ['C14.280.647.250.250', ...['Named Groups [M]', 'Diseases [C]', 'Organism...0110...000000100[0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0]
48911Phenolic constituents from Perovskia atriplici...Perovskoate, an isorinic acid derivative (1) a...['Caffeic Acids', 'Catechols', 'Cholinesterase...16644529[['D02.241.223.200.054'], ['D02.455.426.559.38...['Chemicals and Drugs [D]', 'Analytical, Diagn...0101...010000000[0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0]
16394Motion artifact and background noise suppressi...Optical coherence tomography (OCT) is a techni...['Algorithms', 'Angiography', 'Artifacts', 'Ar...25089975[['G17.035', 'L01.224.050'], ['E01.370.350.700...['Phenomena and Processes [G]', 'Information S...0000...010001010[0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"labels = list(df_train.one_hot_labels.values)\nArticle_train = list(df_train.abstractText.values)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.317227Z","iopub.execute_input":"2024-02-04T09:38:01.317481Z","iopub.status.idle":"2024-02-04T09:38:01.326582Z","shell.execute_reply.started":"2024-02-04T09:38:01.317459Z","shell.execute_reply":"2024-02-04T09:38:01.325566Z"},"trusted":true},"execution_count":17,"outputs":[]},{"cell_type":"markdown","source":"## RoBerta","metadata":{}},{"cell_type":"code","source":"%%time\nmax_length = 128\ntokenizer = RobertaTokenizer.from_pretrained('distilroberta-base', do_lower_case=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.327757Z","iopub.execute_input":"2024-02-04T09:38:01.328061Z","iopub.status.idle":"2024-02-04T09:38:02.220731Z","shell.execute_reply.started":"2024-02-04T09:38:01.328034Z","shell.execute_reply":"2024-02-04T09:38:02.219705Z"},"trusted":true},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":"vocab.json: 0%| | 0.00/899k [00:00threshold for pl in pred_labels]\n true_bools = [tl==1 for tl in true_labels]\n val_f1_accuracy = f1_score(true_bools,pred_bools,average='micro')*100\n val_flat_accuracy = accuracy_score(true_bools, pred_bools)*100\n\n print('F1 Validation Accuracy: ', val_f1_accuracy) \n print('Flat Validation Accuracy: ', val_flat_accuracy)\n print('\\n')\n val_f1_accuracy_list.append(val_f1_accuracy)\n val_flat_accuracy_list.append(val_flat_accuracy)\n epochs_list.append(epochs) \n \n wandb.log({\"train_loss\":tr_loss/nb_tr_steps,\"val_f1_accuracy\":val_f1_accuracy,\"val_flat_accuracy\":val_flat_accuracy,})\nwandb.finish()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:40:02.522003Z","iopub.execute_input":"2024-02-04T09:40:02.522421Z","iopub.status.idle":"2024-02-04T10:16:30.266212Z","shell.execute_reply.started":"2024-02-04T09:40:02.522384Z","shell.execute_reply":"2024-02-04T10:16:30.265436Z"},"trusted":true},"execution_count":29,"outputs":[{"name":"stderr","text":"Epoch : 0%| | 0/6 [00:00","text/html":"\n

Run history:


train_loss█▄▃▂▁▁
val_f1_accuracy▁▄▅▇█▇
val_flat_accuracy▁▃██▇█

Run summary:


train_loss0.28886
val_f1_accuracy86.03352
val_flat_accuracy20.3125

"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run 42.Biobert-base-cased-v1.2-Run-27 at: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/qnppl8m3
Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Find logs at: ./wandb/run-20240204_093724-qnppl8m3/logs"},"metadata":{}},{"name":"stdout","text":"CPU times: user 36min 21s, sys: 1.25 s, total: 36min 22s\nWall time: 36min 27s\n","output_type":"stream"}]},{"cell_type":"code","source":"num_epochs = np.arange(1,len(training_loss_list)+1)\ndf_train_results=pd.DataFrame({'Epochs':num_epochs,'F1 Validation Accuracy':val_f1_accuracy_list,\\\n 'Flat Validation Accuracy':val_flat_accuracy_list,'Train loss':training_loss_list})","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:16:30.267287Z","iopub.execute_input":"2024-02-04T10:16:30.267563Z","iopub.status.idle":"2024-02-04T10:16:30.273166Z","shell.execute_reply.started":"2024-02-04T10:16:30.267539Z","shell.execute_reply":"2024-02-04T10:16:30.272187Z"},"trusted":true},"execution_count":30,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(training_loss_list) ,'bo-',label=\"Train Loss\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Training Loss\")\nax.set_title(\"Training Loss vs Number of Epochs for Roberta\",fontsize=18)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:19:05.906441Z","iopub.execute_input":"2024-02-04T10:19:05.906827Z","iopub.status.idle":"2024-02-04T10:19:06.256620Z","shell.execute_reply.started":"2024-02-04T10:19:05.906799Z","shell.execute_reply":"2024-02-04T10:19:06.255786Z"},"trusted":true},"execution_count":32,"outputs":[{"execution_count":32,"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Training Loss vs Number of Epochs for Roberta')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 7));\nax.plot(num_epochs, np.array(val_f1_accuracy_list),'ro-' ,label=\"F1 Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"F1 Validation Accuracy\")\nax.set_title(\"F1 Validation Accuracy vs Number of Epochs for Roberta\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:19:32.942958Z","iopub.execute_input":"2024-02-04T10:19:32.943634Z","iopub.status.idle":"2024-02-04T10:19:33.290440Z","shell.execute_reply.started":"2024-02-04T10:19:32.943602Z","shell.execute_reply":"2024-02-04T10:19:33.289564Z"},"trusted":true},"execution_count":33,"outputs":[{"execution_count":33,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(val_flat_accuracy_list),'go-', label=\"Flat Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Flat Validation Accuracy\")\nax.set_title(\"Flat Validation Accuracy vs Number of Epochs for for Roberta\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:02.851849Z","iopub.execute_input":"2024-02-04T10:20:02.852527Z","iopub.status.idle":"2024-02-04T10:20:03.186797Z","shell.execute_reply.started":"2024-02-04T10:20:02.852486Z","shell.execute_reply":"2024-02-04T10:20:03.185897Z"},"trusted":true},"execution_count":34,"outputs":[{"execution_count":34,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:20.566942Z","iopub.execute_input":"2024-02-04T10:20:20.567315Z","iopub.status.idle":"2024-02-04T10:20:20.592795Z","shell.execute_reply.started":"2024-02-04T10:20:20.567283Z","shell.execute_reply":"2024-02-04T10:20:20.591746Z"},"trusted":true},"execution_count":35,"outputs":[{"execution_count":35,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"test_labels = list(df_test.one_hot_labels.values)\nArticles_test = list(df_test.abstractText.values)\ntest_mesh_categories = list(df_test.columns[6:20])","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:36.523430Z","iopub.execute_input":"2024-02-04T10:20:36.523906Z","iopub.status.idle":"2024-02-04T10:20:36.532903Z","shell.execute_reply.started":"2024-02-04T10:20:36.523872Z","shell.execute_reply":"2024-02-04T10:20:36.531859Z"},"trusted":true},"execution_count":36,"outputs":[]},{"cell_type":"code","source":"# Encoding input data\ntest_encodings = tokenizer.batch_encode_plus(Articles_test,max_length=max_length,padding=True,truncation=True)\ntest_input_ids = test_encodings['input_ids']\ntest_attention_masks = test_encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:44.908200Z","iopub.execute_input":"2024-02-04T10:20:44.909011Z","iopub.status.idle":"2024-02-04T10:21:10.696799Z","shell.execute_reply.started":"2024-02-04T10:20:44.908969Z","shell.execute_reply":"2024-02-04T10:21:10.695769Z"},"trusted":true},"execution_count":37,"outputs":[]},{"cell_type":"code","source":"# Make tensors out of data\ntest_inputs = torch.tensor(test_input_ids)\ntest_labels = torch.tensor(test_labels)\ntest_masks = torch.tensor(test_attention_masks)\n# Create test dataloader\ntest_data = TensorDataset(test_inputs, test_masks, test_labels,)# test_token_types)\ntest_sampler = SequentialSampler(test_data)\ntest_dataloader = DataLoader(test_data, sampler=test_sampler, batch_size=batch_size)\n# Save test dataloader\ntorch.save(test_dataloader,'test_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:23:08.059149Z","iopub.execute_input":"2024-02-04T10:23:08.059928Z","iopub.status.idle":"2024-02-04T10:23:08.980715Z","shell.execute_reply.started":"2024-02-04T10:23:08.059892Z","shell.execute_reply":"2024-02-04T10:23:08.979735Z"},"trusted":true},"execution_count":38,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Test\n\n# Put model in evaluation mode to evaluate loss on the validation set\nmodel.eval()\n\n#track variables\nlogit_preds,true_labels,pred_labels,tokenized_texts = [],[],[],[]\n\n# Predict\nfor i, batch in enumerate(test_dataloader):\n batch = tuple(t.to(device) for t in batch)\n # Unpack the inputs from our dataloader\n b_input_ids, b_input_mask, b_labels, = batch\n with torch.no_grad():\n # Forward pass\n outs = model(b_input_ids, token_type_ids=None, attention_mask=b_input_mask)\n b_logit_pred = outs[0]\n pred_label = torch.sigmoid(b_logit_pred)\n\n b_logit_pred = b_logit_pred.detach().cpu().numpy()\n pred_label = pred_label.to('cpu').numpy()\n b_labels = b_labels.to('cpu').numpy()\n\n tokenized_texts.append(b_input_ids)\n logit_preds.append(b_logit_pred)\n true_labels.append(b_labels)\n pred_labels.append(pred_label)\n\n# Flatten outputs\ntokenized_texts = [item for sublist in tokenized_texts for item in sublist]\npred_labels = [item for sublist in pred_labels for item in sublist]\ntrue_labels = [item for sublist in true_labels for item in sublist]\n# Converting flattened binary values to boolean values\ntrue_bools = [tl==1 for tl in true_labels]","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:23:26.809799Z","iopub.execute_input":"2024-02-04T10:23:26.810601Z","iopub.status.idle":"2024-02-04T10:24:05.008347Z","shell.execute_reply.started":"2024-02-04T10:23:26.810570Z","shell.execute_reply":"2024-02-04T10:24:05.007270Z"},"trusted":true},"execution_count":39,"outputs":[{"name":"stdout","text":"CPU times: user 38.1 s, sys: 29 ms, total: 38.2 s\nWall time: 38.2 s\n","output_type":"stream"}]},{"cell_type":"code","source":"pred_bools = [pl>0.50 for pl in pred_labels] #boolean output after thresholding\n# Print and save classification report\nTest_F1_Accuracy=f1_score(true_bools, pred_bools,average='micro')\nTest_Flat_Accuracy= accuracy_score(true_bools, pred_bools)\nprint('Test F1 Accuracy: ',Test_F1_Accuracy )\nprint('Test Flat Accuracy: ',Test_Flat_Accuracy,'\\n')\n\ndf_test=pd.DataFrame({'Test F1 Accuracy':Test_F1_Accuracy, 'Test Flat Accuracy':Test_Flat_Accuracy},index=[0])\n\nprint(classification_report(true_bools,pred_bools,target_names=test_mesh_categories))\nclf_report = classification_report(true_bools,pred_bools,target_names=test_mesh_categories,output_dict=True)\ndf_report=pd.DataFrame(clf_report).transpose()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:26:28.782800Z","iopub.execute_input":"2024-02-04T10:26:28.783673Z","iopub.status.idle":"2024-02-04T10:26:29.069794Z","shell.execute_reply.started":"2024-02-04T10:26:28.783640Z","shell.execute_reply":"2024-02-04T10:26:29.068789Z"},"trusted":true},"execution_count":40,"outputs":[{"name":"stdout","text":"Test F1 Accuracy: 0.8445904441417621\nTest Flat Accuracy: 0.1571 \n\n precision recall f1-score support\n\n A 0.78 0.77 0.78 4609\n B 0.96 0.99 0.97 9250\n C 0.87 0.88 0.87 5206\n D 0.91 0.93 0.92 6259\n E 0.81 0.94 0.87 7778\n F 0.87 0.65 0.74 1767\n G 0.82 0.89 0.86 6799\n H 0.63 0.08 0.14 1221\n I 0.71 0.47 0.56 1068\n J 0.72 0.43 0.54 1110\n L 0.75 0.36 0.48 1491\n M 0.88 0.87 0.88 4232\n N 0.83 0.75 0.79 4602\n Z 0.75 0.67 0.71 1558\n\n micro avg 0.86 0.83 0.84 56950\n macro avg 0.81 0.69 0.72 56950\nweighted avg 0.85 0.83 0.83 56950\n samples avg 0.86 0.84 0.84 56950\n\n","output_type":"stream"}]},{"cell_type":"code","source":"df_report.to_csv('Classification_Report.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:26:50.907773Z","iopub.execute_input":"2024-02-04T10:26:50.908459Z","iopub.status.idle":"2024-02-04T10:26:50.915631Z","shell.execute_reply.started":"2024-02-04T10:26:50.908429Z","shell.execute_reply":"2024-02-04T10:26:50.914718Z"},"trusted":true},"execution_count":41,"outputs":[]},{"cell_type":"code","source":"model.save_pretrained('./Multi_label_Classification_Save/')\ntokenizer.save_pretrained('./Multi_label_Classification_Save/')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:26:59.214788Z","iopub.execute_input":"2024-02-04T10:26:59.215120Z","iopub.status.idle":"2024-02-04T10:27:00.008252Z","shell.execute_reply.started":"2024-02-04T10:26:59.215096Z","shell.execute_reply":"2024-02-04T10:27:00.007300Z"},"trusted":true},"execution_count":42,"outputs":[{"execution_count":42,"output_type":"execute_result","data":{"text/plain":"('./Multi_label_Classification_Save/tokenizer_config.json',\n './Multi_label_Classification_Save/special_tokens_map.json',\n './Multi_label_Classification_Save/vocab.json',\n './Multi_label_Classification_Save/merges.txt',\n './Multi_label_Classification_Save/added_tokens.json')"},"metadata":{}}]},{"cell_type":"markdown","source":"## Bio-Bert","metadata":{}},{"cell_type":"code","source":"tokenizer = BertTokenizer.from_pretrained('dmis-lab/biobert-base-cased-v1.2', do_lower_case=True) ","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:33:47.333480Z","iopub.execute_input":"2024-02-04T10:33:47.333869Z","iopub.status.idle":"2024-02-04T10:33:47.836941Z","shell.execute_reply.started":"2024-02-04T10:33:47.333841Z","shell.execute_reply":"2024-02-04T10:33:47.836011Z"},"trusted":true},"execution_count":45,"outputs":[{"output_type":"display_data","data":{"text/plain":"vocab.txt: 0%| | 0.00/213k [00:00threshold for pl in pred_labels]\n true_bools = [tl==1 for tl in true_labels]\n val_f1_accuracy = f1_score(true_bools,pred_bools,average='micro')*100\n val_flat_accuracy = accuracy_score(true_bools, pred_bools)*100\n\n print('F1 Validation Accuracy: ', val_f1_accuracy) \n print('Flat Validation Accuracy: ', val_flat_accuracy)\n print('\\n')\n val_f1_accuracy_list.append(val_f1_accuracy)\n val_flat_accuracy_list.append(val_flat_accuracy)\n epochs_list.append(epochs) \n \n wandb.log({\"train_loss\":tr_loss/nb_tr_steps,\"val_f1_accuracy\":val_f1_accuracy,\"val_flat_accuracy\":val_flat_accuracy,})\nwandb.finish()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T11:00:01.558567Z","iopub.execute_input":"2024-02-04T11:00:01.558947Z","iopub.status.idle":"2024-02-04T12:12:43.459211Z","shell.execute_reply.started":"2024-02-04T11:00:01.558919Z","shell.execute_reply":"2024-02-04T12:12:43.458239Z"},"trusted":true},"execution_count":56,"outputs":[{"name":"stderr","text":"\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mibetanibex\u001b[0m (\u001b[33mai-guru\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"","text/html":"Tracking run with wandb version 0.16.2"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Run data is saved locally in /kaggle/working/wandb/run-20240204_110001-14scs1yy"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Syncing run 42.Roberta-base-cased-v1.2-Run-27 to Weights & Biases (docs)
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View project at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/14scs1yy"},"metadata":{}},{"name":"stderr","text":"Epoch : 0%| | 0/6 [00:00","text/html":"\n

Run history:


train_loss█▆▄▃▂▁
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Run summary:


train_loss0.25087
val_f1_accuracy86.96845
val_flat_accuracy18.75

"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run 42.Roberta-base-cased-v1.2-Run-27 at: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/14scs1yy
Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Find logs at: ./wandb/run-20240204_110001-14scs1yy/logs"},"metadata":{}},{"name":"stdout","text":"CPU times: user 1h 12min 6s, sys: 2.09 s, total: 1h 12min 8s\nWall time: 1h 12min 41s\n","output_type":"stream"}]},{"cell_type":"code","source":"num_epochs = np.arange(1,len(training_loss_list)+1)\ndf_train_results=pd.DataFrame({'Epochs':num_epochs,'F1 Validation Accuracy':val_f1_accuracy_list,\\\n 'Flat Validation Accuracy':val_flat_accuracy_list,'Train loss':training_loss_list})","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:17.275314Z","iopub.execute_input":"2024-02-04T12:15:17.275738Z","iopub.status.idle":"2024-02-04T12:15:17.281973Z","shell.execute_reply.started":"2024-02-04T12:15:17.275705Z","shell.execute_reply":"2024-02-04T12:15:17.281096Z"},"trusted":true},"execution_count":57,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(training_loss_list) ,'bo-',label=\"Train Loss\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Training Loss\")\nax.set_title(\"Training Loss vs Number of Epochs for Bert-Base\",fontsize=18)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:26.941646Z","iopub.execute_input":"2024-02-04T12:15:26.942267Z","iopub.status.idle":"2024-02-04T12:15:27.309326Z","shell.execute_reply.started":"2024-02-04T12:15:26.942236Z","shell.execute_reply":"2024-02-04T12:15:27.308457Z"},"trusted":true},"execution_count":58,"outputs":[{"execution_count":58,"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Training Loss vs Number of Epochs for Bert-Base')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 7));\nax.plot(num_epochs, np.array(val_f1_accuracy_list),'ro-' ,label=\"F1 Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"F1 Validation Accuracy\")\nax.set_title(\"F1 Validation Accuracy vs Number of Epochs for Bert-Base\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:40.972216Z","iopub.execute_input":"2024-02-04T12:15:40.972603Z","iopub.status.idle":"2024-02-04T12:15:41.313674Z","shell.execute_reply.started":"2024-02-04T12:15:40.972572Z","shell.execute_reply":"2024-02-04T12:15:41.312725Z"},"trusted":true},"execution_count":59,"outputs":[{"execution_count":59,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"\nfig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(val_flat_accuracy_list),'go-', label=\"Flat Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Flat Validation Accuracy\")\nax.set_title(\"Flat Validation Accuracy vs Number of Epochs for for Bert-Base\",fontsize=18)\nax.set_ylim(0, 100)\n","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:56.421708Z","iopub.execute_input":"2024-02-04T12:15:56.422404Z","iopub.status.idle":"2024-02-04T12:15:56.745454Z","shell.execute_reply.started":"2024-02-04T12:15:56.422375Z","shell.execute_reply":"2024-02-04T12:15:56.744584Z"},"trusted":true},"execution_count":60,"outputs":[{"execution_count":60,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"df_train, df_test = train_test_split(df, random_state=32, test_size=0.20, shuffle=True)\nprint(df_train.shape)\nprint(df_test.shape)\ndel(df)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:21:30.498288Z","iopub.execute_input":"2024-02-04T12:21:30.498897Z","iopub.status.idle":"2024-02-04T12:21:30.522341Z","shell.execute_reply.started":"2024-02-04T12:21:30.498866Z","shell.execute_reply":"2024-02-04T12:21:30.521536Z"},"trusted":true},"execution_count":67,"outputs":[{"name":"stdout","text":"(40000, 20)\n(10000, 20)\n","output_type":"stream"}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:21:45.533376Z","iopub.execute_input":"2024-02-04T12:21:45.534269Z","iopub.status.idle":"2024-02-04T12:21:45.561481Z","shell.execute_reply.started":"2024-02-04T12:21:45.534237Z","shell.execute_reply":"2024-02-04T12:21:45.560434Z"},"trusted":true},"execution_count":68,"outputs":[{"execution_count":68,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"test_labels = list(df_test.one_hot_labels.values)\nArticles_test = list(df_test.abstractText.values)\ntest_mesh_categories = list(df_test.columns[6:20])","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:22:00.710339Z","iopub.execute_input":"2024-02-04T12:22:00.711011Z","iopub.status.idle":"2024-02-04T12:22:00.717729Z","shell.execute_reply.started":"2024-02-04T12:22:00.710979Z","shell.execute_reply":"2024-02-04T12:22:00.716829Z"},"trusted":true},"execution_count":69,"outputs":[]},{"cell_type":"code","source":"test_encodings = tokenizer.batch_encode_plus(Articles_test,max_length=max_length,padding=True,truncation=True)\ntest_input_ids = test_encodings['input_ids']\ntest_attention_masks = test_encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:22:10.573118Z","iopub.execute_input":"2024-02-04T12:22:10.573794Z","iopub.status.idle":"2024-02-04T12:23:38.683266Z","shell.execute_reply.started":"2024-02-04T12:22:10.573763Z","shell.execute_reply":"2024-02-04T12:23:38.682280Z"},"trusted":true},"execution_count":70,"outputs":[]},{"cell_type":"code","source":"test_inputs = torch.tensor(test_input_ids)\ntest_labels = torch.tensor(test_labels)\ntest_masks = torch.tensor(test_attention_masks)\n# Create test dataloader\ntest_data = TensorDataset(test_inputs, test_masks, test_labels,)# test_token_types)\ntest_sampler = SequentialSampler(test_data)\ntest_dataloader = DataLoader(test_data, sampler=test_sampler, batch_size=batch_size)\n# Save test dataloader\ntorch.save(test_dataloader,'test_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:27:43.240552Z","iopub.execute_input":"2024-02-04T12:27:43.241412Z","iopub.status.idle":"2024-02-04T12:27:44.164646Z","shell.execute_reply.started":"2024-02-04T12:27:43.241379Z","shell.execute_reply":"2024-02-04T12:27:44.163477Z"},"trusted":true},"execution_count":71,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Test\n\n# Put model in evaluation mode to evaluate loss on the validation set\nmodel.eval()\n\n#track variables\nlogit_preds,true_labels,pred_labels,tokenized_texts = [],[],[],[]\n\n# Predict\nfor i, batch in enumerate(test_dataloader):\n batch = tuple(t.to(device) for t in batch)\n # Unpack the inputs from our dataloader\n b_input_ids, b_input_mask, b_labels, = batch\n with torch.no_grad():\n # Forward pass\n outs = model(b_input_ids, token_type_ids=None, attention_mask=b_input_mask)\n b_logit_pred = outs[0]\n pred_label = torch.sigmoid(b_logit_pred)\n\n b_logit_pred = b_logit_pred.detach().cpu().numpy()\n pred_label = pred_label.to('cpu').numpy()\n b_labels = b_labels.to('cpu').numpy()\n\n tokenized_texts.append(b_input_ids)\n logit_preds.append(b_logit_pred)\n true_labels.append(b_labels)\n pred_labels.append(pred_label)\n\n# Flatten outputs\ntokenized_texts = [item for sublist in tokenized_texts for item in sublist]\npred_labels = [item for sublist in pred_labels for item in sublist]\ntrue_labels = [item for sublist in true_labels for item in sublist]\n# Converting flattened binary values to boolean values\ntrue_bools = [tl==1 for tl in true_labels]","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:27:45.663224Z","iopub.execute_input":"2024-02-04T12:27:45.663582Z","iopub.status.idle":"2024-02-04T12:28:59.934360Z","shell.execute_reply.started":"2024-02-04T12:27:45.663550Z","shell.execute_reply":"2024-02-04T12:28:59.933385Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"CPU times: user 1min 14s, sys: 25 ms, total: 1min 14s\nWall time: 1min 14s\n","output_type":"stream"}]},{"cell_type":"code","source":"pred_bools = [pl>0.50 for pl in pred_labels] #boolean output after thresholding\n# Print and save classification report\nTest_F1_Accuracy=f1_score(true_bools, pred_bools,average='micro')\nTest_Flat_Accuracy= accuracy_score(true_bools, pred_bools)\nprint('Test F1 Accuracy: ',Test_F1_Accuracy )\nprint('Test Flat Accuracy: ',Test_Flat_Accuracy,'\\n')\n\ndf_test=pd.DataFrame({'Test F1 Accuracy':Test_F1_Accuracy, 'Test Flat Accuracy':Test_Flat_Accuracy},index=[0])\n\nprint(classification_report(true_bools,pred_bools,target_names=test_mesh_categories))\nclf_report = classification_report(true_bools,pred_bools,target_names=test_mesh_categories,output_dict=True)\ndf_report=pd.DataFrame(clf_report).transpose()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:30:34.457821Z","iopub.execute_input":"2024-02-04T12:30:34.458173Z","iopub.status.idle":"2024-02-04T12:30:34.736630Z","shell.execute_reply.started":"2024-02-04T12:30:34.458148Z","shell.execute_reply":"2024-02-04T12:30:34.735652Z"},"trusted":true},"execution_count":73,"outputs":[{"name":"stdout","text":"Test F1 Accuracy: 0.8557193019325574\nTest Flat Accuracy: 0.1779 \n\n precision recall f1-score support\n\n A 0.78 0.83 0.81 4609\n B 0.96 0.99 0.97 9250\n C 0.88 0.89 0.89 5206\n D 0.92 0.93 0.92 6259\n E 0.80 0.98 0.88 7778\n F 0.85 0.71 0.77 1767\n G 0.83 0.89 0.86 6799\n H 0.58 0.13 0.22 1221\n I 0.72 0.55 0.63 1068\n J 0.75 0.54 0.63 1110\n L 0.71 0.46 0.56 1491\n M 0.88 0.90 0.89 4232\n N 0.82 0.78 0.80 4602\n Z 0.75 0.67 0.71 1558\n\n micro avg 0.85 0.86 0.86 56950\n macro avg 0.80 0.73 0.75 56950\nweighted avg 0.85 0.86 0.85 56950\n samples avg 0.86 0.86 0.85 56950\n\n","output_type":"stream"}]},{"cell_type":"code","source":"df_report.to_csv('Classification_Report_BERTSEQ.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:31:06.596804Z","iopub.execute_input":"2024-02-04T12:31:06.597170Z","iopub.status.idle":"2024-02-04T12:31:06.603102Z","shell.execute_reply.started":"2024-02-04T12:31:06.597143Z","shell.execute_reply":"2024-02-04T12:31:06.602108Z"},"trusted":true},"execution_count":74,"outputs":[]},{"cell_type":"code","source":"model.save_pretrained('./Multi_label_Classification_Save_bertseq/')\ntokenizer.save_pretrained('./Multi_label_Classification_Save_bertseq/')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:31:37.653447Z","iopub.execute_input":"2024-02-04T12:31:37.654289Z","iopub.status.idle":"2024-02-04T12:31:38.215052Z","shell.execute_reply.started":"2024-02-04T12:31:37.654257Z","shell.execute_reply":"2024-02-04T12:31:38.214165Z"},"trusted":true},"execution_count":75,"outputs":[{"execution_count":75,"output_type":"execute_result","data":{"text/plain":"('./Multi_label_Classification_Save_bertseq/tokenizer_config.json',\n './Multi_label_Classification_Save_bertseq/special_tokens_map.json',\n './Multi_label_Classification_Save_bertseq/vocab.txt',\n './Multi_label_Classification_Save_bertseq/added_tokens.json')"},"metadata":{}}]},{"cell_type":"markdown","source":"## XLNet","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:32:49.201606Z","iopub.execute_input":"2024-02-04T12:32:49.202276Z","iopub.status.idle":"2024-02-04T12:32:49.206188Z","shell.execute_reply.started":"2024-02-04T12:32:49.202245Z","shell.execute_reply":"2024-02-04T12:32:49.205201Z"}}},{"cell_type":"code","source":"df_train, df_test = train_test_split(df, random_state=32, test_size=0.20, shuffle=True)\nprint(df_train.shape)\nprint(df_test.shape)\ndel(df)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:35:09.610746Z","iopub.execute_input":"2024-02-04T12:35:09.611106Z","iopub.status.idle":"2024-02-04T12:35:09.639262Z","shell.execute_reply.started":"2024-02-04T12:35:09.611079Z","shell.execute_reply":"2024-02-04T12:35:09.638344Z"},"trusted":true},"execution_count":79,"outputs":[{"name":"stdout","text":"(40000, 20)\n(10000, 20)\n","output_type":"stream"}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:35:34.834865Z","iopub.execute_input":"2024-02-04T12:35:34.835301Z","iopub.status.idle":"2024-02-04T12:35:34.861797Z","shell.execute_reply.started":"2024-02-04T12:35:34.835266Z","shell.execute_reply":"2024-02-04T12:35:34.860757Z"},"trusted":true},"execution_count":80,"outputs":[{"execution_count":80,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"tokenizer = XLNetTokenizer.from_pretrained('xlnet-base-cased', do_lower_case=False)\nencodings = tokenizer.batch_encode_plus(Article_train,max_length=max_length,padding=True,truncation=True) # tokenizer's encoding method\nprint('tokenizer outputs: ', encodings.keys())\n\ninput_ids = encodings['input_ids'] # tokenized and encoded sentences\nattention_masks = encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:37:22.863467Z","iopub.execute_input":"2024-02-04T12:37:22.864330Z","iopub.status.idle":"2024-02-04T12:38:57.572462Z","shell.execute_reply.started":"2024-02-04T12:37:22.864296Z","shell.execute_reply":"2024-02-04T12:38:57.571384Z"},"trusted":true},"execution_count":81,"outputs":[{"output_type":"display_data","data":{"text/plain":"spiece.model: 0%| | 0.00/798k [00:00\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
31112Neurofibromatosis associated with a coronary a...A case of a patient with type 1 neurofibromato...['Aged', 'Coronary Aneurysm', 'Humans', 'Male'...11144803[['M01.060.116.100'], ['C14.280.647.250.250', ...['Named Groups [M]', 'Diseases [C]', 'Organism...0110...000000100[0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0]
48911Phenolic constituents from Perovskia atriplici...Perovskoate, an isorinic acid derivative (1) a...['Caffeic Acids', 'Catechols', 'Cholinesterase...16644529[['D02.241.223.200.054'], ['D02.455.426.559.38...['Chemicals and Drugs [D]', 'Analytical, Diagn...0101...010000000[0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0]
16394Motion artifact and background noise suppressi...Optical coherence tomography (OCT) is a techni...['Algorithms', 'Angiography', 'Artifacts', 'Ar...25089975[['G17.035', 'L01.224.050'], ['E01.370.350.700...['Phenomena and Processes [G]', 'Information S...0000...010001010[0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0]
\n

3 rows × 21 columns

\n"},"metadata":{}}]},{"cell_type":"code","source":"label_counts = df_train.one_hot_labels.astype(str).value_counts()\none_freq = label_counts[label_counts==1].keys()\none_freq_idxs = sorted(list(df_train[df_train.one_hot_labels.astype(str).isin(one_freq)].index), reverse=True)\nprint('df label indices with only one instance: ', one_freq_idxs)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:02.269468Z","iopub.execute_input":"2024-02-04T12:43:02.269862Z","iopub.status.idle":"2024-02-04T12:43:08.301797Z","shell.execute_reply.started":"2024-02-04T12:43:02.269835Z","shell.execute_reply":"2024-02-04T12:43:08.300859Z"},"trusted":true},"execution_count":84,"outputs":[{"name":"stdout","text":"df label indices with only one instance: [49950, 49878, 49876, 49838, 49759, 49739, 49696, 49590, 49585, 49574, 49546, 49535, 49528, 49487, 49470, 49419, 49404, 49395, 49314, 49245, 49150, 49080, 49071, 49058, 49004, 48991, 48982, 48922, 48919, 48757, 48708, 48686, 48679, 48677, 48602, 48594, 48583, 48531, 48454, 48438, 48411, 48388, 48375, 48350, 48337, 48298, 48213, 48185, 48123, 48085, 48075, 48056, 48020, 48001, 47876, 47840, 47828, 47817, 47776, 47671, 47495, 47435, 47369, 47363, 47362, 47359, 47356, 47321, 47293, 47244, 47239, 47159, 47104, 47089, 47061, 47050, 47002, 46955, 46887, 46874, 46837, 46747, 46706, 46651, 46635, 46598, 46446, 46365, 46247, 46223, 46199, 46170, 46033, 46028, 45955, 45946, 45756, 45755, 45712, 45682, 45671, 45573, 45509, 45430, 45391, 45317, 45294, 45226, 45216, 45190, 45134, 45132, 45105, 45052, 45035, 45025, 44971, 44953, 44867, 44851, 44827, 44777, 44763, 44625, 44606, 44598, 44586, 44579, 44574, 44568, 44499, 44479, 44462, 44296, 44206, 44181, 44116, 44105, 44100, 44090, 43970, 43957, 43831, 43792, 43736, 43721, 43684, 43623, 43574, 43553, 43350, 43307, 43287, 43281, 43220, 43198, 43162, 43156, 43136, 43106, 43091, 43053, 42943, 42845, 42831, 42720, 42703, 42661, 42625, 42600, 42561, 42454, 42381, 42370, 42364, 42287, 42048, 42044, 42010, 41953, 41896, 41881, 41814, 41813, 41737, 41671, 41579, 41466, 41413, 41364, 41283, 41248, 41188, 41180, 41145, 41046, 40974, 40905, 40841, 40826, 40820, 40744, 40732, 40715, 40673, 40666, 40609, 40556, 40548, 40533, 40529, 40446, 40417, 40408, 40367, 40363, 40234, 40217, 40204, 40129, 40127, 40034, 39998, 39997, 39964, 39960, 39908, 39890, 39860, 39827, 39813, 39796, 39775, 39769, 39752, 39743, 39729, 39717, 39695, 39682, 39627, 39588, 39568, 39556, 39550, 39540, 39495, 39375, 39200, 39145, 39097, 39072, 39038, 39000, 38997, 38976, 38874, 38832, 38809, 38751, 38705, 38670, 38659, 38648, 38644, 38609, 38522, 38437, 38418, 38414, 38313, 38287, 38246, 38215, 38207, 38144, 38130, 38125, 38064, 37954, 37921, 37798, 37758, 37709, 37704, 37703, 37686, 37670, 37536, 37532, 37531, 37448, 37438, 37432, 37382, 37333, 37198, 37083, 37074, 36980, 36971, 36921, 36828, 36803, 36762, 36754, 36746, 36679, 36660, 36641, 36639, 36578, 36512, 36483, 36442, 36400, 36367, 36323, 36310, 36304, 36281, 36240, 36239, 36233, 36215, 36202, 36197, 36189, 36186, 36107, 36103, 36068, 36024, 35962, 35833, 35832, 35781, 35738, 35697, 35617, 35565, 35564, 35555, 35488, 35460, 35411, 35409, 35330, 35281, 35242, 35211, 35164, 35112, 35067, 35043, 34978, 34965, 34910, 34868, 34863, 34859, 34823, 34802, 34731, 34669, 34668, 34636, 34598, 34560, 34549, 34465, 34450, 34377, 34164, 34141, 34107, 33979, 33959, 33854, 33812, 33673, 33639, 33473, 33465, 33390, 33322, 33261, 33257, 33226, 33214, 33087, 33015, 32975, 32962, 32960, 32943, 32917, 32863, 32848, 32846, 32820, 32778, 32771, 32759, 32525, 32461, 32241, 32217, 32166, 32144, 32135, 32010, 31904, 31899, 31873, 31860, 31833, 31827, 31751, 31732, 31695, 31663, 31654, 31584, 31504, 31497, 31465, 31426, 31357, 31335, 31298, 31288, 31177, 31150, 31116, 31071, 30949, 30858, 30847, 30807, 30699, 30645, 30599, 30585, 30578, 30431, 30370, 30355, 30347, 30306, 30296, 30262, 30174, 30080, 30067, 30052, 30018, 29945, 29906, 29859, 29820, 29770, 29756, 29752, 29743, 29713, 29710, 29495, 29402, 29363, 29356, 29346, 29289, 29276, 29265, 29263, 29048, 29029, 28993, 28965, 28881, 28879, 28817, 28776, 28753, 28673, 28646, 28638, 28574, 28562, 28537, 28435, 28396, 28381, 28332, 28268, 28265, 28217, 28134, 28123, 28109, 28087, 27953, 27917, 27899, 27881, 27862, 27853, 27810, 27750, 27716, 27687, 27659, 27639, 27608, 27575, 27559, 27399, 27383, 27348, 27267, 27242, 27136, 27047, 26998, 26986, 26883, 26868, 26860, 26812, 26766, 26722, 26676, 26652, 26633, 26620, 26552, 26529, 26506, 26496, 26392, 26382, 26353, 26279, 26258, 26252, 26225, 26202, 26177, 26138, 25981, 25945, 25906, 25892, 25887, 25872, 25789, 25740, 25733, 25637, 25551, 25533, 25502, 25400, 25309, 25269, 25144, 25095, 25047, 25039, 24892, 24724, 24702, 24582, 24567, 24540, 24507, 24466, 24465, 24458, 24449, 24426, 24424, 24416, 24338, 24331, 24265, 24201, 24108, 24065, 24047, 24009, 23968, 23967, 23963, 23912, 23901, 23873, 23851, 23798, 23784, 23766, 23764, 23605, 23601, 23550, 23508, 23485, 23459, 23437, 23394, 23227, 23226, 23200, 23173, 23170, 23114, 23082, 23071, 23025, 22938, 22865, 22842, 22788, 22739, 22705, 22697, 22666, 22557, 22501, 22463, 22408, 22319, 22288, 22139, 22059, 22017, 22011, 21996, 21966, 21960, 21950, 21903, 21754, 21742, 21656, 21632, 21613, 21577, 21566, 21563, 21539, 21332, 21320, 21257, 21232, 21205, 21201, 21174, 21137, 21115, 21081, 21071, 21048, 21031, 20942, 20802, 20733, 20726, 20715, 20710, 20686, 20517, 20481, 20459, 20455, 20447, 20334, 20324, 20320, 20305, 20206, 20178, 20168, 20165, 20130, 20116, 20084, 20072, 20060, 19967, 19936, 19915, 19905, 19897, 19852, 19814, 19804, 19749, 19740, 19725, 19678, 19631, 19621, 19575, 19515, 19501, 19459, 19350, 19307, 19289, 19258, 19207, 19201, 19194, 19192, 19135, 19036, 19024, 19008, 18995, 18951, 18941, 18890, 18851, 18810, 18796, 18755, 18735, 18714, 18627, 18613, 18583, 18573, 18531, 18507, 18502, 18501, 18496, 18448, 18437, 18355, 18263, 18241, 18239, 18219, 18217, 18203, 18182, 18112, 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attention_masks,\n random_state=2020, test_size=0.20)\n\n# Convert all of our data into torch tensors, the required datatype for our BERT Pytorch model\ntrain_inputs = torch.tensor(train_inputs)\ntrain_labels = torch.tensor(train_labels)\ntrain_masks = torch.tensor(train_masks)\n\nvalidation_inputs = torch.tensor(validation_inputs)\nvalidation_labels = torch.tensor(validation_labels)\nvalidation_masks = torch.tensor(validation_masks)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:08.303431Z","iopub.execute_input":"2024-02-04T12:43:08.303833Z","iopub.status.idle":"2024-02-04T12:43:11.882310Z","shell.execute_reply.started":"2024-02-04T12:43:08.303805Z","shell.execute_reply":"2024-02-04T12:43:11.881478Z"},"trusted":true},"execution_count":85,"outputs":[]},{"cell_type":"code","source":"train_data = TensorDataset(train_inputs, train_masks, train_labels,)\ntrain_sampler = RandomSampler(train_data)\ntrain_dataloader = DataLoader(train_data, sampler=train_sampler, batch_size=batch_size)\n\nvalidation_data = TensorDataset(validation_inputs, validation_masks, validation_labels,)\nvalidation_sampler = SequentialSampler(validation_data)\nvalidation_dataloader = DataLoader(validation_data, sampler=validation_sampler, batch_size=batch_size)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:11.883752Z","iopub.execute_input":"2024-02-04T12:43:11.884122Z","iopub.status.idle":"2024-02-04T12:43:11.895163Z","shell.execute_reply.started":"2024-02-04T12:43:11.884088Z","shell.execute_reply":"2024-02-04T12:43:11.894322Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"code","source":"torch.save(validation_dataloader,'validation_data_loader')\ntorch.save(train_dataloader,'train_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:11.897326Z","iopub.execute_input":"2024-02-04T12:43:11.897638Z","iopub.status.idle":"2024-02-04T12:43:12.067816Z","shell.execute_reply.started":"2024-02-04T12:43:11.897604Z","shell.execute_reply":"2024-02-04T12:43:12.066697Z"},"trusted":true},"execution_count":87,"outputs":[]},{"cell_type":"code","source":"model = XLNetForSequenceClassification.from_pretrained(\"xlnet-base-cased\", num_labels=num_labels)\nmodel.cuda()\nprint('Model Pushed to Cuda for Training')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:12.071135Z","iopub.execute_input":"2024-02-04T12:43:12.071421Z","iopub.status.idle":"2024-02-04T12:43:16.272177Z","shell.execute_reply.started":"2024-02-04T12:43:12.071397Z","shell.execute_reply":"2024-02-04T12:43:16.271300Z"},"trusted":true},"execution_count":88,"outputs":[{"output_type":"display_data","data":{"text/plain":"pytorch_model.bin: 0%| | 0.00/467M [00:00threshold for pl in pred_labels]\n true_bools = [tl==1 for tl in true_labels]\n val_f1_accuracy = f1_score(true_bools,pred_bools,average='micro')*100\n val_flat_accuracy = accuracy_score(true_bools, pred_bools)*100\n\n print('F1 Validation Accuracy: ', val_f1_accuracy) \n print('Flat Validation Accuracy: ', val_flat_accuracy)\n print('\\n')\n val_f1_accuracy_list.append(val_f1_accuracy)\n val_flat_accuracy_list.append(val_flat_accuracy)\n epochs_list.append(epochs) \n \n wandb.log({\"train_loss\":tr_loss/nb_tr_steps,\"val_f1_accuracy\":val_f1_accuracy,\"val_flat_accuracy\":val_flat_accuracy,})\nwandb.finish()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:16.303694Z","iopub.execute_input":"2024-02-04T12:43:16.304020Z","iopub.status.idle":"2024-02-04T14:24:07.882055Z","shell.execute_reply.started":"2024-02-04T12:43:16.303991Z","shell.execute_reply":"2024-02-04T14:24:07.881236Z"},"trusted":true},"execution_count":92,"outputs":[{"output_type":"display_data","data":{"text/plain":"","text/html":"Tracking run with wandb version 0.16.2"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Run data is saved locally in /kaggle/working/wandb/run-20240204_124316-fylodx7t"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Syncing run 42.XLNET-base-cased-v1.2-Run-27 to Weights & Biases (docs)
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View project at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/fylodx7t"},"metadata":{}},{"name":"stderr","text":"Epoch : 0%| | 0/6 [00:00","text/html":"\n

Run history:


train_loss█▆▅▄▂▁
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Run summary:


train_loss0.17651
val_f1_accuracy85.52097
val_flat_accuracy14.0625

"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run 42.XLNET-base-cased-v1.2-Run-27 at: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/fylodx7t
Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Find logs at: ./wandb/run-20240204_124316-fylodx7t/logs"},"metadata":{}},{"name":"stdout","text":"CPU times: user 1h 41min 23s, sys: 3.19 s, total: 1h 41min 26s\nWall time: 1h 40min 51s\n","output_type":"stream"}]},{"cell_type":"code","source":"num_epochs = np.arange(1,len(training_loss_list)+1)\ndf_train_results=pd.DataFrame({'Epochs':num_epochs,'F1 Validation Accuracy':val_f1_accuracy_list,\\\n 'Flat Validation Accuracy':val_flat_accuracy_list,'Train loss':training_loss_list})","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:36:35.812876Z","iopub.execute_input":"2024-02-04T14:36:35.813621Z","iopub.status.idle":"2024-02-04T14:36:35.819078Z","shell.execute_reply.started":"2024-02-04T14:36:35.813580Z","shell.execute_reply":"2024-02-04T14:36:35.818098Z"},"trusted":true},"execution_count":93,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(training_loss_list) ,'bo-',label=\"Train Loss\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Training Loss\")\n","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:37:01.236323Z","iopub.execute_input":"2024-02-04T14:37:01.236994Z","iopub.status.idle":"2024-02-04T14:37:01.545324Z","shell.execute_reply.started":"2024-02-04T14:37:01.236963Z","shell.execute_reply":"2024-02-04T14:37:01.544439Z"},"trusted":true},"execution_count":94,"outputs":[{"execution_count":94,"output_type":"execute_result","data":{"text/plain":"Text(0, 0.5, 'Training Loss')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 7));\nax.plot(num_epochs, np.array(val_f1_accuracy_list),'ro-' ,label=\"F1 Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"F1 Validation Accuracy\")\nax.set_title(\"F1 Validation Accuracy vs Number of Epochs for XL-NET\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:37:55.154574Z","iopub.execute_input":"2024-02-04T14:37:55.154977Z","iopub.status.idle":"2024-02-04T14:37:55.482369Z","shell.execute_reply.started":"2024-02-04T14:37:55.154950Z","shell.execute_reply":"2024-02-04T14:37:55.481433Z"},"trusted":true},"execution_count":96,"outputs":[{"execution_count":96,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(val_flat_accuracy_list),'go-', label=\"Flat Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Flat Validation Accuracy\")\nax.set_title(\"Flat Validation Accuracy vs Number of Epochs for XL-NET \",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:38:59.129152Z","iopub.execute_input":"2024-02-04T14:38:59.129749Z","iopub.status.idle":"2024-02-04T14:38:59.464275Z","shell.execute_reply.started":"2024-02-04T14:38:59.129717Z","shell.execute_reply":"2024-02-04T14:38:59.463318Z"},"trusted":true},"execution_count":97,"outputs":[{"execution_count":97,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:39:40.391602Z","iopub.execute_input":"2024-02-04T14:39:40.392281Z","iopub.status.idle":"2024-02-04T14:39:40.416346Z","shell.execute_reply.started":"2024-02-04T14:39:40.392248Z","shell.execute_reply":"2024-02-04T14:39:40.415473Z"},"trusted":true},"execution_count":98,"outputs":[{"execution_count":98,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"test_labels = list(df_test.one_hot_labels.values)\nArticles_test = list(df_test.abstractText.values)\ntest_mesh_categories = list(df_test.columns[6:20])","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:40:02.031144Z","iopub.execute_input":"2024-02-04T14:40:02.031766Z","iopub.status.idle":"2024-02-04T14:40:02.039693Z","shell.execute_reply.started":"2024-02-04T14:40:02.031734Z","shell.execute_reply":"2024-02-04T14:40:02.038575Z"},"trusted":true},"execution_count":99,"outputs":[]},{"cell_type":"code","source":"test_encodings = tokenizer.batch_encode_plus(Articles_test,max_length=max_length,padding=True,truncation=True)\ntest_input_ids = test_encodings['input_ids']\ntest_attention_masks = test_encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:40:24.531297Z","iopub.execute_input":"2024-02-04T14:40:24.531693Z","iopub.status.idle":"2024-02-04T14:40:48.673753Z","shell.execute_reply.started":"2024-02-04T14:40:24.531662Z","shell.execute_reply":"2024-02-04T14:40:48.672578Z"},"trusted":true},"execution_count":100,"outputs":[]},{"cell_type":"code","source":"test_inputs = torch.tensor(test_input_ids)\ntest_labels = torch.tensor(test_labels)\ntest_masks = torch.tensor(test_attention_masks)\n# Create test dataloader\ntest_data = TensorDataset(test_inputs, test_masks, test_labels,)# test_token_types)\ntest_sampler = SequentialSampler(test_data)\ntest_dataloader = DataLoader(test_data, sampler=test_sampler, batch_size=batch_size)\n# Save test dataloader\ntorch.save(test_dataloader,'test_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:40:49.666723Z","iopub.execute_input":"2024-02-04T14:40:49.667626Z","iopub.status.idle":"2024-02-04T14:40:50.567718Z","shell.execute_reply.started":"2024-02-04T14:40:49.667569Z","shell.execute_reply":"2024-02-04T14:40:50.566897Z"},"trusted":true},"execution_count":101,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Test\n\n# Put model in evaluation mode to evaluate loss on the validation set\nmodel.eval()\n\n#track variables\nlogit_preds,true_labels,pred_labels,tokenized_texts = [],[],[],[]\n\n# Predict\nfor i, batch in enumerate(test_dataloader):\n batch = tuple(t.to(device) for t in batch)\n # Unpack the inputs from our dataloader\n b_input_ids, b_input_mask, b_labels, = batch\n with torch.no_grad():\n # Forward pass\n outs = model(b_input_ids, token_type_ids=None, attention_mask=b_input_mask)\n b_logit_pred = outs[0]\n pred_label = torch.sigmoid(b_logit_pred)\n\n b_logit_pred = b_logit_pred.detach().cpu().numpy()\n pred_label = pred_label.to('cpu').numpy()\n b_labels = b_labels.to('cpu').numpy()\n\n tokenized_texts.append(b_input_ids)\n logit_preds.append(b_logit_pred)\n true_labels.append(b_labels)\n pred_labels.append(pred_label)\n\n# Flatten outputs\ntokenized_texts = [item for sublist in tokenized_texts for item in sublist]\npred_labels = [item for sublist in pred_labels for item in sublist]\ntrue_labels = [item for sublist in true_labels for item in sublist]\n# Converting flattened binary values to boolean values\ntrue_bools = [tl==1 for tl in true_labels]","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:42:17.770657Z","iopub.execute_input":"2024-02-04T14:42:17.771335Z","iopub.status.idle":"2024-02-04T14:44:11.354881Z","shell.execute_reply.started":"2024-02-04T14:42:17.771302Z","shell.execute_reply":"2024-02-04T14:44:11.353920Z"},"trusted":true},"execution_count":103,"outputs":[{"name":"stdout","text":"CPU times: user 1min 55s, sys: 1.16 s, total: 1min 56s\nWall time: 1min 53s\n","output_type":"stream"}]},{"cell_type":"code","source":"pred_bools = [pl>0.50 for pl in pred_labels] #boolean output after thresholding\n# Print and save classification report\nTest_F1_Accuracy=f1_score(true_bools, pred_bools,average='micro')\nTest_Flat_Accuracy= accuracy_score(true_bools, pred_bools)\nprint('Test F1 Accuracy: ',Test_F1_Accuracy )\nprint('Test Flat Accuracy: ',Test_Flat_Accuracy,'\\n')\ndf_test=pd.DataFrame({'Test F1 Accuracy':Test_F1_Accuracy, 'Test Flat Accuracy':Test_Flat_Accuracy},index=[0])\nprint(classification_report(true_bools,pred_bools,target_names=test_mesh_categories))\nclf_report = classification_report(true_bools,pred_bools,target_names=test_mesh_categories,output_dict=True)\ndf_report=pd.DataFrame(clf_report).transpose()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:59:55.982668Z","iopub.execute_input":"2024-02-04T14:59:55.983034Z","iopub.status.idle":"2024-02-04T14:59:56.265186Z","shell.execute_reply.started":"2024-02-04T14:59:55.983007Z","shell.execute_reply":"2024-02-04T14:59:56.264247Z"},"trusted":true},"execution_count":105,"outputs":[{"name":"stdout","text":"Test F1 Accuracy: 0.8427982526302837\nTest Flat Accuracy: 0.1512 \n\n precision recall f1-score support\n\n A 0.83 0.70 0.76 4609\n B 0.96 0.98 0.97 9250\n C 0.86 0.88 0.87 5206\n D 0.92 0.91 0.91 6259\n E 0.81 0.95 0.87 7778\n F 0.76 0.78 0.77 1767\n G 0.84 0.86 0.85 6799\n H 0.51 0.26 0.34 1221\n I 0.67 0.61 0.63 1068\n J 0.66 0.57 0.61 1110\n L 0.57 0.55 0.56 1491\n M 0.88 0.88 0.88 4232\n N 0.80 0.78 0.79 4602\n Z 0.76 0.67 0.71 1558\n\n micro avg 0.84 0.84 0.84 56950\n macro avg 0.77 0.74 0.75 56950\nweighted avg 0.84 0.84 0.84 56950\n samples avg 0.85 0.85 0.83 56950\n\n","output_type":"stream"}]},{"cell_type":"code","source":"df_report.to_csv('Classification_Report_XLNET.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T15:00:25.937680Z","iopub.execute_input":"2024-02-04T15:00:25.938349Z","iopub.status.idle":"2024-02-04T15:00:25.944134Z","shell.execute_reply.started":"2024-02-04T15:00:25.938318Z","shell.execute_reply":"2024-02-04T15:00:25.942972Z"},"trusted":true},"execution_count":106,"outputs":[]},{"cell_type":"code","source":"model.save_pretrained('./Multi_label_Classification_Save_xlnet/')\ntokenizer.save_pretrained('./Multi_label_Classification_Save_xlnet/')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T15:01:46.220419Z","iopub.execute_input":"2024-02-04T15:01:46.221359Z","iopub.status.idle":"2024-02-04T15:01:46.865488Z","shell.execute_reply.started":"2024-02-04T15:01:46.221325Z","shell.execute_reply":"2024-02-04T15:01:46.864571Z"},"trusted":true},"execution_count":107,"outputs":[{"execution_count":107,"output_type":"execute_result","data":{"text/plain":"('./Multi_label_Classification_Save_xlnet/tokenizer_config.json',\n './Multi_label_Classification_Save_xlnet/special_tokens_map.json',\n './Multi_label_Classification_Save_xlnet/spiece.model',\n './Multi_label_Classification_Save_xlnet/added_tokens.json')"},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/PubMed Text Classification/README.md b/PubMed Text Classification/README.md new file mode 100644 index 000000000..e925df1e2 --- /dev/null +++ b/PubMed Text Classification/README.md @@ -0,0 +1,31 @@ +# PubMed Multi-label Text Classification Project Overview + +## Overview + +This project focuses on multi-label text classification of biomedical research articles sourced from the PubMed repository. The dataset consists of approximately 50,000 documents, each manually annotated with MeSH (Medical Subject Headings) labels by Biomedical Experts. The primary challenge addressed in this project is the extensive output space and severe label sparsity issues in the original dataset. + +## Key Features + +- **Dataset:** 50,000 research articles from PubMed, annotated with MeSH labels. +- **Label Reduction:** Original MeSH labels reduced to major categories. +- **Root Mapping:** Major labels mapped to corresponding root categories for a simplified output space. +- **Models:** Utilized BioBERT, RoBERTa, and XLNet for multi-label text classification. +- **Results:** BioBERT demonstrated the highest accuracy at 87%, outperforming RoBERTa and XLNet. + +## Dataset Processing + +The dataset underwent preprocessing to address label sparsity and reduce the output space. Major MeSH labels were retained, and a hierarchical structure was introduced through root mapping for better interpretability. + +## Model Training + +- Three state-of-the-art pre-trained language models were employed: BioBERT, RoBERTa, and XLNet. +- Training involved optimization for multi-label classification with a focus on improving F1 and flat validation accuracies. +- Graphs depicting training loss, F1 validation accuracy, and flat validation accuracy over epochs are available in the `results` directory. +- the training runs charts can be seen in weughts and Biases Dashboard: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29 + +## Conclusion + +BioBERT emerged as the most effective model, achieving an accuracy of 87%. The dataset analysis revealed Class B as the category with the highest number of articles. Training graphs illustrate the models' learning processes and performance improvements over epochs. + + + diff --git a/PubMed Text Classification/Results/Classification_Report.csv b/PubMed Text Classification/Results/Classification_Report.csv new file mode 100644 index 000000000..f3966fd3f --- /dev/null +++ b/PubMed Text Classification/Results/Classification_Report.csv @@ -0,0 +1,19 @@ +precision,recall,f1-score,support +0.7848658161020677,0.774137556953786,0.7794647733478972,4609.0 +0.9580756734094958,0.9882162162162162,0.9729125645255707,9250.0 +0.8690929878048781,0.8761044948136766,0.8725846565907788,5206.0 +0.9108230516945182,0.9317782393353571,0.9211814879166008,6259.0 +0.8145511180331516,0.9413731036256107,0.8733822389216914,7778.0 +0.8653555219364599,0.6474250141482739,0.7406927808352218,1767.0 +0.8226287262872629,0.892925430210325,0.8563368361661613,6799.0 +0.6289308176100629,0.0819000819000819,0.14492753623188406,1221.0 +0.7114285714285714,0.46629213483146065,0.5633484162895926,1068.0 +0.7222222222222222,0.43333333333333335,0.5416666666666666,1110.0 +0.751412429378531,0.3568075117370892,0.48385629831741706,1491.0 +0.8826775431861804,0.869328922495274,0.8759523809523809,4232.0 +0.8332532436328688,0.7535853976531942,0.7914194431766316,4602.0 +0.749098774333093,0.6668806161745828,0.7056027164685909,1558.0 +0.8565701800321421,0.8329411764705882,0.8445904441417621,56950.0 +0.807458321218526,0.6914348609591616,0.7230949140290776,56950.0 +0.8489845853503445,0.8329411764705882,0.8318580249612143,56950.0 +0.8582284054834055,0.8397756632256632,0.8357095510578174,56950.0 diff --git a/PubMed Text Classification/Results/Classification_Report_BERTSEQ.csv b/PubMed Text Classification/Results/Classification_Report_BERTSEQ.csv new file mode 100644 index 000000000..89c749de9 --- /dev/null +++ b/PubMed Text Classification/Results/Classification_Report_BERTSEQ.csv @@ -0,0 +1,19 @@ +precision,recall,f1-score,support +0.7828489562013917,0.8298980256020829,0.8056872037914693,4609.0 +0.9597821533305404,0.9907027027027027,0.9749973401425683,9250.0 +0.8788796366389099,0.892047637341529,0.8854146806482364,5206.0 +0.9180457052797478,0.9306598498162646,0.9243097429387496,6259.0 +0.8040067839728641,0.9751864232450501,0.881361840576342,7778.0 +0.8503401360544217,0.7074136955291455,0.772320049428483,1767.0 +0.8333104678282344,0.8933666715693485,0.8622941510505395,6799.0 +0.5815602836879432,0.13431613431613432,0.21823020625415834,1221.0 +0.7167070217917676,0.5543071161048689,0.6251319957761353,1068.0 +0.7475,0.5387387387387388,0.6261780104712042,1110.0 +0.7105809128630706,0.45942320590207913,0.5580448065173116,1491.0 +0.8770189201661283,0.8981568998109641,0.8874620593042261,4232.0 +0.8198771889924948,0.7833550630160799,0.8012001333481498,4602.0 +0.7543103448275862,0.6739409499358151,0.7118644067796611,1558.0 +0.8534698083876264,0.8579806848112379,0.8557193019325574,56950.0 +0.8024834651167928,0.7329652224022002,0.7524640447876597,56950.0 +0.847304453554072,0.8579806848112379,0.8467545343162335,56950.0 +0.8554871608946609,0.8634571867021866,0.8469379506913796,56950.0 diff --git a/PubMed Text Classification/Results/Classification_Report_XLNET.csv b/PubMed Text Classification/Results/Classification_Report_XLNET.csv new file mode 100644 index 000000000..6dc3f64ea --- /dev/null +++ b/PubMed Text Classification/Results/Classification_Report_XLNET.csv @@ -0,0 +1,19 @@ +precision,recall,f1-score,support +0.8322997416020672,0.6988500759383814,0.7597594055902818,4609.0 +0.9641336739037889,0.9793513513513513,0.971682934677679,9250.0 +0.8563110443275732,0.8757203227045717,0.8659069325735992,5206.0 +0.9193157979667581,0.9102092986100015,0.9147398843930635,6259.0 +0.8097951133998028,0.9502442787348933,0.8744158532978408,7778.0 +0.7568306010928961,0.7838143746462931,0.7700861829302196,1767.0 +0.836130867709815,0.8645389027798206,0.8500976209414997,6799.0 +0.5080128205128205,0.2596232596232596,0.3436314363143631,1221.0 +0.6659815005138746,0.6067415730337079,0.6349828515433612,1068.0 +0.662148070907195,0.5720720720720721,0.6138231029482841,1110.0 +0.5675487465181058,0.5466130114017438,0.5568841817560641,1491.0 +0.8777540867093105,0.8754725897920604,0.8766118537797231,4232.0 +0.8040313549832027,0.7800956106040852,0.7918826513731112,4602.0 +0.7618699780861943,0.6694480102695763,0.7126750939528528,1558.0 +0.8437549497544922,0.8418437225636524,0.8427982526302837,56950.0 +0.7730116713023861,0.7409139093972729,0.7526557132908531,56950.0 +0.8393603363514722,0.8418437225636524,0.8382552404240644,56950.0 +0.8474893975468977,0.8457395340770341,0.8317706467175531,56950.0 diff --git a/PubMed Text Classification/Results/config.json b/PubMed Text Classification/Results/config.json new file mode 100644 index 000000000..c5cf5c391 --- /dev/null +++ b/PubMed Text Classification/Results/config.json @@ -0,0 +1,59 @@ +{ + "_name_or_path": "distilroberta-base", + "architectures": [ + "RobertaForSequenceClassification" + ], + "attention_probs_dropout_prob": 0.1, + "bos_token_id": 0, + "classifier_dropout": null, + "eos_token_id": 2, + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 768, + "id2label": { + "0": "LABEL_0", + "1": "LABEL_1", + "2": "LABEL_2", + "3": "LABEL_3", + "4": "LABEL_4", + "5": "LABEL_5", + "6": "LABEL_6", + "7": "LABEL_7", + "8": "LABEL_8", + "9": "LABEL_9", + "10": "LABEL_10", + "11": "LABEL_11", + "12": "LABEL_12", + "13": "LABEL_13" + }, + "initializer_range": 0.02, + "intermediate_size": 3072, + "label2id": { + "LABEL_0": 0, + "LABEL_1": 1, + "LABEL_10": 10, + "LABEL_11": 11, + "LABEL_12": 12, + "LABEL_13": 13, + "LABEL_2": 2, + "LABEL_3": 3, + "LABEL_4": 4, + "LABEL_5": 5, + "LABEL_6": 6, + "LABEL_7": 7, + "LABEL_8": 8, + "LABEL_9": 9 + }, + "layer_norm_eps": 1e-05, + "max_position_embeddings": 514, + "model_type": "roberta", + "num_attention_heads": 12, + "num_hidden_layers": 6, + "pad_token_id": 1, + "position_embedding_type": "absolute", + "torch_dtype": "float32", + "transformers_version": "4.24.0", + "type_vocab_size": 1, + "use_cache": true, + "vocab_size": 50265 +} diff --git a/PubMed Text Classification/Results/merges.txt b/PubMed Text Classification/Results/merges.txt new file mode 100644 index 000000000..226b0752c --- /dev/null +++ b/PubMed Text Classification/Results/merges.txt @@ -0,0 +1,50001 @@ +#version: 0.2 +Ġ t +Ġ a +h e +i n +r e +o n +Ġt he +e r +Ġ s +a t +Ġ w +Ġ o +e n +Ġ c +i t +i s +a n +o r +e s +Ġ b +e d +Ġ f +in g +Ġ p +o u +Ġa n +a l +a r +Ġt o +Ġ m +Ġo f +Ġ in +Ġ d +Ġ h +Ġan d +i c +a s +l e +Ġt h +i on +o m +l l +en t +Ġ n +Ġ l +s t +Ġ re +v e +Ġ e +r o +l y +Ġb e +Ġ g +Ġ T +c t +Ġ S +i d +o t +Ġ I +u t +e t +Ġ A +Ġ is +Ġ on +i m +a m +o w +a y +a d +s e +Ġth at +Ġ C +i g +Ġf or +a c +Ġ y +v er +u r +Ġ u +l d +Ġs t +Ġ M +' s +Ġ he +Ġ it +at ion +it h +i r +c e +Ġy ou +i l +Ġ B +Ġw h +o l +Ġ P +Ġw ith +Ġ 1 +t er +c h +Ġa s +Ġw e +Ġ ( +n d +i ll +Ġ D +i f +Ġ 2 +a g +er s +k e +Ġ " +Ġ H +e m +Ġc on +Ġ W +Ġ R +he r +Ġw as +Ġ r +o d +Ġ F +u l +at e +Ġa t +r i +p p +o re +ĠT he +Ġs e +u s +Ġp ro +Ġh a +u m +Ġa re +Ġd e +a in +an d +Ġo r +ig h +es t +is t +a b +r om +Ġ N +t h +Ġc om +Ġ G +u n +o p +0 0 +Ġ L +Ġn ot +es s +Ġe x +Ġ v +re s +Ġ E +e w +it y +an t +Ġb y +e l +o s +or t +o c +q u +Ġf rom +Ġha ve +Ġs u +i ve +ou ld +Ġs h +Ġth is +n t +r a +p e +igh t +ar t +m ent +Ġa l +u st +en d +- - +al l +Ġ O +ac k +Ġc h +Ġ le +i es +re d +ar d +â Ģ +ou t +Ġ J +Ġa b +e ar +i v +al ly +ou r +o st +g h +p t +Ġp l +as t +Ġc an +a k +om e +u d +T he +Ġh is +Ġd o +Ġg o +Ġh as +g e +' t +Ġ U +r ou +Ġs a +Ġ j +Ġb ut +Ġw or +Ġa ll +e ct +Ġ k +am e +Ġw ill +o k +Ġw he +Ġthe y +id e +0 1 +f f +ic h +p l +t her +Ġt r +. . +Ġin t +i e +u re +ag e +Ġn e +i al +a p +in e +ic e +Ġm e +Ġo ut +an s +on e +on g +ion s +Ġwh o +Ġ K +Ġu p +Ġthe ir +Ġa d +Ġ 3 +Ġu s +at ed +ou s +Ġm ore +u e +o g +ĠS t +in d +i ke +Ġs o 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" +b er +i z +a ct +Ġon e +Ġsa id +Ġ - +a re +Ġyou r +c c +ĠT h +Ġc l +e p +a ke +ab le +i p +Ġcon t +Ġwh ich +i a +Ġ im +Ġab out +Ġwe re +ver y +u b +Ġh ad +Ġ en +Ġcom p +, " +ĠI n +Ġu n +Ġa g +i re +ac e +a u +ar y +Ġw ould +as s +r y +Ġ âĢ +c l +o ok +e re +s o +Ġ V +ig n +i b +Ġof f +Ġt e +v en +Ġ Y +i le +o se +it e +or m +Ġ2 01 +Ġre s +Ġm an +Ġp er +Ġo ther +or d +ul t +Ġbe en +Ġl ike +as e +an ce +k s +ay s +ow n +en ce +Ġd is +ct ion +Ġan y +Ġa pp +Ġs p +in t +res s +ation s +a il +Ġ 4 +ic al +Ġthe m +Ġhe r +ou nt +ĠC h +Ġa r +Ġ if +Ġthe re +Ġp e +Ġy ear +a v +Ġm y +Ġs ome +Ġwhe n +ou gh +ac h +Ġth an +r u +on d +ic k +Ġo ver +ve l +Ġ qu +Ċ Ċ +Ġs c +re at +re e +ĠI t +ou nd +p ort +Ġal so +Ġp art +f ter +Ġk n +Ġbe c +Ġt ime +en s +Ġ 5 +op le +Ġwh at +Ġn o +d u +m er +an g +Ġn ew +-- -- +Ġg et +or y +it ion +ing s +Ġj ust +Ġint o +Ġ 0 +ent s +o ve +t e +Ġpe ople +Ġp re +Ġit s +Ġre c +Ġt w +i an +ir st +ar k +or s +Ġwor k +ad e +o b +Ġs he +Ġo ur +w n +in k +l ic +Ġ1 9 +ĠH e +is 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'. +Ġmain line +Ġc s +Ġp tr +ĠW ally +ig un +95 1 +ĠBig foot +f ights +Ġretrie ving +J r +Ġdupl ication +ĠExpl an +Ġrel ational +Ġqu aint +Ġbisc uits +Ġad o +Ġsh udder +Ġantid ote +blood ed +ks h +Ġsa uces +Ġrein vest +Ġdispens ary +ĠD iver +Ġ9 000 +stud ent +Ġin separ +esc ap +Ġtodd lers +ĠGP IO +ĠAss ignment +head ers +Ġlack luster +Ġab ack +95 6 +Ġtool bar +7 45 +Ġo ust +Ġcontempl ation +ĠPRES IDENT +Ġ4 58 +==== == +Ġguarantee ing +ĠHe ist +ĠCann es +Ļ ½ +Ġcollabor ator +ĠAm p +Ġg ou +ĠSH ALL +st ories +78 3 +Ġmobil ized +Ġbro od +ĠL U +ĠðŁ ij +Ġref in +ĠAnthrop ology +v ind +ill i +Ġwarrant ies +ĠB abel +Ġsw ath +Ġc aches +Ġantagon ists +art ifacts +Ġhot ly +ĠSt arts +ĠG ö +z ag +!! !!! +Ġsc ourge +Ġcons piring +ru its +re verse +ĠShe en +ĠJes uit +ĠGiov anni +ad ies +Ġbutt ocks +ear cher +ac an +Ġvolley ball +Ġshroud ed +Ġscore board +b ats +ĠI PM +Ġass es +Ġde regulation +ĠTe legram +ĠReb oot +Ġ7 000 +ĠCan ary +Ġk ernels +ĠFranç ois +ĠD uff +ĠP on +ĠLe ica +ĠGar min +Ġor phans +ĠClaud ia +Ġcal endars +ĠLe ilan +ent o +R ocket +Ġbr unch +ĠHaw king +ain ers +Ġsens ibilities +Ġk W +ĠK and +Ġre claimed +Ġinteresting ly +× © +rom y +J M +ĠEnhance ment +b ush +Sk ip +Ġrapp ers +Ġg azing +p edia +ath lon +Rev olution +Ġsn ipers +Ġre verted +Ġconglomer ate +T erry +79 4 +Ġhars her +Ġdes olate +ĠHit man +Comm ission +Ġ( / +âĢ¦ ." +Com par +Ġampl ification +om inated +Ġreg ress +ĠColl ider +Ġinform ants +Ġg azed diff --git a/PubMed Text Classification/Results/pubmed-text-classification.ipynb b/PubMed Text Classification/Results/pubmed-text-classification.ipynb new file mode 100644 index 000000000..7384d78dd --- /dev/null +++ b/PubMed Text Classification/Results/pubmed-text-classification.ipynb @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":3894051,"sourceType":"datasetVersion","datasetId":2312112}],"dockerImageVersionId":30648,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"! pip install -q transformers==4.24.0\n!pip install -q gradio\n!sudo apt-get install git-lfs\n!git lfs install","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:30:56.780014Z","iopub.execute_input":"2024-02-04T09:30:56.780888Z","iopub.status.idle":"2024-02-04T09:31:43.906028Z","shell.execute_reply.started":"2024-02-04T09:30:56.780855Z","shell.execute_reply":"2024-02-04T09:31:43.905078Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\nkaggle-environments 1.14.3 requires transformers>=4.33.1, but you have transformers 4.24.0 which is incompatible.\u001b[0m\u001b[31m\nReading package lists... Done\nBuilding dependency tree \nReading state information... Done\ngit-lfs is already the newest version (2.9.2-1).\n0 upgraded, 0 newly installed, 0 to remove and 30 not upgraded.\nError: Failed to call git rev-parse --git-dir: exit status 128 \nGit LFS initialized.\n","output_type":"stream"}]},{"cell_type":"code","source":"import os\nimport wandb\nimport torch\nimport pickle\nimport numpy as np\n%matplotlib inline\nimport pandas as pd\nimport gradio as gr\nimport seaborn as sns\nimport tensorflow as tf\nfrom typing import Dict\nfrom ast import literal_eval\nfrom torch.optim import AdamW\nfrom tqdm import tqdm, trange\nimport matplotlib.pyplot as plt\nfrom kaggle_secrets import UserSecretsClient\nfrom torch.nn import BCEWithLogitsLoss, BCELoss\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import MultiLabelBinarizer\nfrom keras.preprocessing.sequence import pad_sequences\nfrom torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler\nfrom sklearn.metrics import classification_report, confusion_matrix, multilabel_confusion_matrix, f1_score, accuracy_score\nfrom transformers import XLNetForSequenceClassification, XLNetTokenizer,BertForSequenceClassification,BertTokenizer, RobertaForSequenceClassification,RobertaTokenizer\n","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:31:43.908414Z","iopub.execute_input":"2024-02-04T09:31:43.908807Z","iopub.status.idle":"2024-02-04T09:32:07.828343Z","shell.execute_reply.started":"2024-02-04T09:31:43.908768Z","shell.execute_reply":"2024-02-04T09:32:07.827553Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stderr","text":"2024-02-04 09:31:55.780960: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-02-04 09:31:55.781115: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-02-04 09:31:55.929321: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}]},{"cell_type":"code","source":"def warn(*args, **kwargs):\n pass\nimport warnings\nwarnings.warn = warn","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:07.829398Z","iopub.execute_input":"2024-02-04T09:32:07.830088Z","iopub.status.idle":"2024-02-04T09:32:07.834465Z","shell.execute_reply.started":"2024-02-04T09:32:07.830057Z","shell.execute_reply":"2024-02-04T09:32:07.833652Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"code","source":"torch.__version__","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:07.836316Z","iopub.execute_input":"2024-02-04T09:32:07.836606Z","iopub.status.idle":"2024-02-04T09:32:07.852555Z","shell.execute_reply.started":"2024-02-04T09:32:07.836582Z","shell.execute_reply":"2024-02-04T09:32:07.851744Z"},"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"'2.1.2'"},"metadata":{}}]},{"cell_type":"code","source":"device_name = tf.test.gpu_device_name()\nif device_name != '/device:GPU:0':\n raise SystemError('GPU device not found')\nprint('Found GPU at: {}'.format(device_name))","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:07.853726Z","iopub.execute_input":"2024-02-04T09:32:07.853979Z","iopub.status.idle":"2024-02-04T09:32:08.206777Z","shell.execute_reply.started":"2024-02-04T09:32:07.853957Z","shell.execute_reply":"2024-02-04T09:32:08.205722Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"Found GPU at: /device:GPU:0\n","output_type":"stream"}]},{"cell_type":"code","source":"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\nn_gpu = torch.cuda.device_count()\ntorch.cuda.get_device_name(0)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:08.207959Z","iopub.execute_input":"2024-02-04T09:32:08.208285Z","iopub.status.idle":"2024-02-04T09:32:08.221215Z","shell.execute_reply.started":"2024-02-04T09:32:08.208258Z","shell.execute_reply":"2024-02-04T09:32:08.220310Z"},"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"'Tesla T4'"},"metadata":{}}]},{"cell_type":"code","source":"try:\n from kaggle_secrets import UserSecretsClient\n user_secrets = UserSecretsClient()\n secret_value_0 = user_secrets.get_secret(\"wandb_api\")\n wandb.login(key=secret_value_0)\n anony=None\nexcept:\n anony = \"must\"\n print('If you want to use your W&B account, go to Add-ons -> Secrets and provide your W&B access token. Use the Label name as wandb_api. \\nGet your W&B access token from here: https://wandb.ai/authorize')\n \n \n \nwandb.init(project=\"Multi Label Classification of PubMed Articles (Paper Night Presentation)\",name=f\"42.Biobert-base-cased-v1.2-Run-27\")","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:32:08.222372Z","iopub.execute_input":"2024-02-04T09:32:08.222650Z","iopub.status.idle":"2024-02-04T09:37:54.818668Z","shell.execute_reply.started":"2024-02-04T09:32:08.222626Z","shell.execute_reply":"2024-02-04T09:37:54.817581Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"If you want to use your W&B account, go to Add-ons -> Secrets and provide your W&B access token. Use the Label name as wandb_api. \nGet your W&B access token from here: https://wandb.ai/authorize\n","output_type":"stream"},{"name":"stderr","text":"\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n\u001b[34m\u001b[1mwandb\u001b[0m: Paste an API key from your profile and hit enter, or press ctrl+c to quit:","output_type":"stream"},{"output_type":"stream","name":"stdin","text":" ········································\n"},{"name":"stderr","text":"\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"","text/html":"Tracking run with wandb version 0.16.2"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Run data is saved locally in /kaggle/working/wandb/run-20240204_093724-qnppl8m3"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Syncing run 42.Biobert-base-cased-v1.2-Run-27 to Weights & Biases (docs)
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View project at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/qnppl8m3"},"metadata":{}},{"execution_count":8,"output_type":"execute_result","data":{"text/html":"","text/plain":""},"metadata":{}}]},{"cell_type":"code","source":"dataset_Name='../input/pubmed-multilabel-text-classification/PubMed Multi Label Text Classification Dataset Processed.csv'\n\ndf= pd.read_csv(dataset_Name)\ndf.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:35:02.813299Z","iopub.execute_input":"2024-02-04T12:35:02.814149Z","iopub.status.idle":"2024-02-04T12:35:04.339720Z","shell.execute_reply.started":"2024-02-04T12:35:02.814117Z","shell.execute_reply":"2024-02-04T12:35:04.338679Z"},"trusted":true},"execution_count":78,"outputs":[{"execution_count":78,"output_type":"execute_result","data":{"text/plain":" Title \\\n0 Expression of p53 and coexistence of HPV in pr... \n1 Vitamin D status in pregnant Indian women acro... \n2 [Identification of a functionally important di... \n\n abstractText \\\n0 Fifty-four paraffin embedded tissue sections f... \n1 The present cross-sectional study was conducte... \n2 The occurrence of individual amino acids and d... \n\n meshMajor pmid \\\n0 ['DNA Probes, HPV', 'DNA, Viral', 'Female', 'H... 8549602 \n1 ['Adult', 'Alkaline Phosphatase', 'Breast Feed... 21736816 \n2 ['Amino Acid Sequence', 'Analgesics, Opioid', ... 19060934 \n\n meshid \\\n0 [['D13.444.600.223.555', 'D27.505.259.750.600.... \n1 [['M01.060.116'], ['D08.811.277.352.650.035'],... \n2 [['G02.111.570.060', 'L01.453.245.667.060'], [... \n\n meshroot A B C D E F G H \\\n0 ['Chemicals and Drugs [D]', 'Organisms [B]', '... 0 1 1 1 1 0 0 1 \n1 ['Named Groups [M]', 'Chemicals and Drugs [D]'... 0 1 1 1 1 1 1 0 \n2 ['Phenomena and Processes [G]', 'Information S... 1 1 0 1 1 0 1 0 \n\n I J L M N Z \n0 0 0 0 0 0 0 \n1 1 1 0 1 1 1 \n2 0 0 1 0 0 0 ","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCDEFGHIJLMNZ
0Expression of p53 and coexistence of HPV in pr...Fifty-four paraffin embedded tissue sections f...['DNA Probes, HPV', 'DNA, Viral', 'Female', 'H...8549602[['D13.444.600.223.555', 'D27.505.259.750.600....['Chemicals and Drugs [D]', 'Organisms [B]', '...01111001000000
1Vitamin D status in pregnant Indian women acro...The present cross-sectional study was conducte...['Adult', 'Alkaline Phosphatase', 'Breast Feed...21736816[['M01.060.116'], ['D08.811.277.352.650.035'],...['Named Groups [M]', 'Chemicals and Drugs [D]'...01111110110111
2[Identification of a functionally important di...The occurrence of individual amino acids and d...['Amino Acid Sequence', 'Analgesics, Opioid', ...19060934[['G02.111.570.060', 'L01.453.245.667.060'], [...['Phenomena and Processes [G]', 'Information S...11011010001000
\n
"},"metadata":{}}]},{"cell_type":"code","source":"print(\"Total number of Articles extracted from Bioasq dataset are =\",len(df))","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:37:57.609587Z","iopub.execute_input":"2024-02-04T09:37:57.609927Z","iopub.status.idle":"2024-02-04T09:37:57.616157Z","shell.execute_reply.started":"2024-02-04T09:37:57.609896Z","shell.execute_reply":"2024-02-04T09:37:57.615184Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"Total number of Articles extracted from Bioasq dataset are = 50000\n","output_type":"stream"}]},{"cell_type":"code","source":"print('Average Article length: ', df.abstractText.str.split().str.len().mean())\nprint('Stdev Article length: ', df.abstractText.str.split().str.len().std())","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:37:57.620983Z","iopub.execute_input":"2024-02-04T09:37:57.621295Z","iopub.status.idle":"2024-02-04T09:38:00.540338Z","shell.execute_reply.started":"2024-02-04T09:37:57.621258Z","shell.execute_reply":"2024-02-04T09:38:00.539331Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"Average Article length: 192.05284\nStdev Article length: 76.74764082329723\n","output_type":"stream"}]},{"cell_type":"code","source":"cols = df.columns\ncols = list(df.columns)\nmesh_Heading_categories = cols[6:]\nnum_labels = len(mesh_Heading_categories)\nprint('Mesh Labels Root Class: \"\\n\"',mesh_Heading_categories)\nprint(\"\\n\")\nprint('Number of Labels: ' ,num_labels)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:00.541556Z","iopub.execute_input":"2024-02-04T09:38:00.541902Z","iopub.status.idle":"2024-02-04T09:38:00.743198Z","shell.execute_reply.started":"2024-02-04T09:38:00.541869Z","shell.execute_reply":"2024-02-04T09:38:00.742088Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"Mesh Labels Root Class: \"\n\" ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'L', 'M', 'N', 'Z']\n\n\nNumber of Labels: 14\n","output_type":"stream"}]},{"cell_type":"code","source":"%%time\n\ncounts = []\nfor mesh_Heading_category in mesh_Heading_categories:\n counts.append((mesh_Heading_category, df[mesh_Heading_category].sum()))\ndf_count = pd.DataFrame(counts, columns=['Root Label', 'number of Abstract'])\ndf_count","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:00.744807Z","iopub.execute_input":"2024-02-04T09:38:00.745143Z","iopub.status.idle":"2024-02-04T09:38:00.762310Z","shell.execute_reply.started":"2024-02-04T09:38:00.745111Z","shell.execute_reply":"2024-02-04T09:38:00.761328Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"CPU times: user 2.98 ms, sys: 853 µs, total: 3.84 ms\nWall time: 3.41 ms\n","output_type":"stream"},{"execution_count":13,"output_type":"execute_result","data":{"text/plain":" Root Label number of Abstract\n0 A 23263\n1 B 46577\n2 C 26453\n3 D 31074\n4 E 39202\n5 F 8885\n6 G 33609\n7 H 6069\n8 I 5595\n9 J 5531\n10 L 7503\n11 M 21363\n12 N 22919\n13 Z 8049","text/html":"
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Root Labelnumber of Abstract
0A23263
1B46577
2C26453
3D31074
4E39202
5F8885
6G33609
7H6069
8I5595
9J5531
10L7503
11M21363
12N22919
13Z8049
\n
"},"metadata":{}}]},{"cell_type":"code","source":"%%time\nsns.set(font_scale = 1)\nplt.figure(figsize=(16,9))\nax= sns.barplot(x=mesh_Heading_categories, y=df.iloc[:,6:].sum().values)\nplt.title(\"Each Root Class\", fontsize=22)\nplt.ylabel('Number of Articles', fontsize=18)\nplt.xlabel('Root Label ', fontsize=18)\n\n#adding the text labels\nrects = ax.patches\nlabels = df.iloc[:,6:].sum().values\nfor rect, label in zip(rects, labels):\n height = rect.get_height()\n ax.text(rect.get_x() + rect.get_width()/2, height + 5, label, ha='center', va='bottom', fontsize=12)\n\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:00.763506Z","iopub.execute_input":"2024-02-04T09:38:00.763830Z","iopub.status.idle":"2024-02-04T09:38:01.250858Z","shell.execute_reply.started":"2024-02-04T09:38:00.763802Z","shell.execute_reply":"2024-02-04T09:38:01.249830Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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times: user 446 ms, sys: 4.77 ms, total: 451 ms\nWall time: 474 ms\n","output_type":"stream"}]},{"cell_type":"code","source":"df_train, df_test = train_test_split(df, random_state=32, test_size=0.20, shuffle=True)\nprint(df_train.shape)\nprint(df_test.shape)\ndel(df)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.252202Z","iopub.execute_input":"2024-02-04T09:38:01.252585Z","iopub.status.idle":"2024-02-04T09:38:01.279033Z","shell.execute_reply.started":"2024-02-04T09:38:01.252549Z","shell.execute_reply":"2024-02-04T09:38:01.278127Z"},"trusted":true},"execution_count":15,"outputs":[{"name":"stdout","text":"(40000, 20)\n(10000, 20)\n","output_type":"stream"}]},{"cell_type":"code","source":"df_train['one_hot_labels'] = list(df_train[mesh_Heading_categories].values)\ndf_train.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.280085Z","iopub.execute_input":"2024-02-04T09:38:01.280358Z","iopub.status.idle":"2024-02-04T09:38:01.316019Z","shell.execute_reply.started":"2024-02-04T09:38:01.280317Z","shell.execute_reply":"2024-02-04T09:38:01.315021Z"},"trusted":true},"execution_count":16,"outputs":[{"execution_count":16,"output_type":"execute_result","data":{"text/plain":" Title \\\n31112 Neurofibromatosis associated with a coronary a... \n48911 Phenolic constituents from Perovskia atriplici... \n16394 Motion artifact and background noise suppressi... \n\n abstractText \\\n31112 A case of a patient with type 1 neurofibromato... \n48911 Perovskoate, an isorinic acid derivative (1) a... \n16394 Optical coherence tomography (OCT) is a techni... \n\n meshMajor pmid \\\n31112 ['Aged', 'Coronary Aneurysm', 'Humans', 'Male'... 11144803 \n48911 ['Caffeic Acids', 'Catechols', 'Cholinesterase... 16644529 \n16394 ['Algorithms', 'Angiography', 'Artifacts', 'Ar... 25089975 \n\n meshid \\\n31112 [['M01.060.116.100'], ['C14.280.647.250.250', ... \n48911 [['D02.241.223.200.054'], ['D02.455.426.559.38... \n16394 [['G17.035', 'L01.224.050'], ['E01.370.350.700... \n\n meshroot A B C D ... F \\\n31112 ['Named Groups [M]', 'Diseases [C]', 'Organism... 0 1 1 0 ... 0 \n48911 ['Chemicals and Drugs [D]', 'Analytical, Diagn... 0 1 0 1 ... 0 \n16394 ['Phenomena and Processes [G]', 'Information S... 0 0 0 0 ... 0 \n\n G H I J L M N Z one_hot_labels \n31112 0 0 0 0 0 1 0 0 [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0] \n48911 1 0 0 0 0 0 0 0 [0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n16394 1 0 0 0 1 0 1 0 [0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0] \n\n[3 rows x 21 columns]","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
31112Neurofibromatosis associated with a coronary a...A case of a patient with type 1 neurofibromato...['Aged', 'Coronary Aneurysm', 'Humans', 'Male'...11144803[['M01.060.116.100'], ['C14.280.647.250.250', ...['Named Groups [M]', 'Diseases [C]', 'Organism...0110...000000100[0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0]
48911Phenolic constituents from Perovskia atriplici...Perovskoate, an isorinic acid derivative (1) a...['Caffeic Acids', 'Catechols', 'Cholinesterase...16644529[['D02.241.223.200.054'], ['D02.455.426.559.38...['Chemicals and Drugs [D]', 'Analytical, Diagn...0101...010000000[0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0]
16394Motion artifact and background noise suppressi...Optical coherence tomography (OCT) is a techni...['Algorithms', 'Angiography', 'Artifacts', 'Ar...25089975[['G17.035', 'L01.224.050'], ['E01.370.350.700...['Phenomena and Processes [G]', 'Information S...0000...010001010[0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"labels = list(df_train.one_hot_labels.values)\nArticle_train = list(df_train.abstractText.values)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.317227Z","iopub.execute_input":"2024-02-04T09:38:01.317481Z","iopub.status.idle":"2024-02-04T09:38:01.326582Z","shell.execute_reply.started":"2024-02-04T09:38:01.317459Z","shell.execute_reply":"2024-02-04T09:38:01.325566Z"},"trusted":true},"execution_count":17,"outputs":[]},{"cell_type":"markdown","source":"## RoBerta","metadata":{}},{"cell_type":"code","source":"%%time\nmax_length = 128\ntokenizer = RobertaTokenizer.from_pretrained('distilroberta-base', do_lower_case=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:38:01.327757Z","iopub.execute_input":"2024-02-04T09:38:01.328061Z","iopub.status.idle":"2024-02-04T09:38:02.220731Z","shell.execute_reply.started":"2024-02-04T09:38:01.328034Z","shell.execute_reply":"2024-02-04T09:38:02.219705Z"},"trusted":true},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":"vocab.json: 0%| | 0.00/899k [00:00threshold for pl in pred_labels]\n true_bools = [tl==1 for tl in true_labels]\n val_f1_accuracy = f1_score(true_bools,pred_bools,average='micro')*100\n val_flat_accuracy = accuracy_score(true_bools, pred_bools)*100\n\n print('F1 Validation Accuracy: ', val_f1_accuracy) \n print('Flat Validation Accuracy: ', val_flat_accuracy)\n print('\\n')\n val_f1_accuracy_list.append(val_f1_accuracy)\n val_flat_accuracy_list.append(val_flat_accuracy)\n epochs_list.append(epochs) \n \n wandb.log({\"train_loss\":tr_loss/nb_tr_steps,\"val_f1_accuracy\":val_f1_accuracy,\"val_flat_accuracy\":val_flat_accuracy,})\nwandb.finish()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T09:40:02.522003Z","iopub.execute_input":"2024-02-04T09:40:02.522421Z","iopub.status.idle":"2024-02-04T10:16:30.266212Z","shell.execute_reply.started":"2024-02-04T09:40:02.522384Z","shell.execute_reply":"2024-02-04T10:16:30.265436Z"},"trusted":true},"execution_count":29,"outputs":[{"name":"stderr","text":"Epoch : 0%| | 0/6 [00:00","text/html":"\n

Run history:


train_loss█▄▃▂▁▁
val_f1_accuracy▁▄▅▇█▇
val_flat_accuracy▁▃██▇█

Run summary:


train_loss0.28886
val_f1_accuracy86.03352
val_flat_accuracy20.3125

"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run 42.Biobert-base-cased-v1.2-Run-27 at: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/qnppl8m3
Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Find logs at: ./wandb/run-20240204_093724-qnppl8m3/logs"},"metadata":{}},{"name":"stdout","text":"CPU times: user 36min 21s, sys: 1.25 s, total: 36min 22s\nWall time: 36min 27s\n","output_type":"stream"}]},{"cell_type":"code","source":"num_epochs = np.arange(1,len(training_loss_list)+1)\ndf_train_results=pd.DataFrame({'Epochs':num_epochs,'F1 Validation Accuracy':val_f1_accuracy_list,\\\n 'Flat Validation Accuracy':val_flat_accuracy_list,'Train loss':training_loss_list})","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:16:30.267287Z","iopub.execute_input":"2024-02-04T10:16:30.267563Z","iopub.status.idle":"2024-02-04T10:16:30.273166Z","shell.execute_reply.started":"2024-02-04T10:16:30.267539Z","shell.execute_reply":"2024-02-04T10:16:30.272187Z"},"trusted":true},"execution_count":30,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(training_loss_list) ,'bo-',label=\"Train Loss\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Training Loss\")\nax.set_title(\"Training Loss vs Number of Epochs for Roberta\",fontsize=18)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:19:05.906441Z","iopub.execute_input":"2024-02-04T10:19:05.906827Z","iopub.status.idle":"2024-02-04T10:19:06.256620Z","shell.execute_reply.started":"2024-02-04T10:19:05.906799Z","shell.execute_reply":"2024-02-04T10:19:06.255786Z"},"trusted":true},"execution_count":32,"outputs":[{"execution_count":32,"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Training Loss vs Number of Epochs for Roberta')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 7));\nax.plot(num_epochs, np.array(val_f1_accuracy_list),'ro-' ,label=\"F1 Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"F1 Validation Accuracy\")\nax.set_title(\"F1 Validation Accuracy vs Number of Epochs for Roberta\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:19:32.942958Z","iopub.execute_input":"2024-02-04T10:19:32.943634Z","iopub.status.idle":"2024-02-04T10:19:33.290440Z","shell.execute_reply.started":"2024-02-04T10:19:32.943602Z","shell.execute_reply":"2024-02-04T10:19:33.289564Z"},"trusted":true},"execution_count":33,"outputs":[{"execution_count":33,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(val_flat_accuracy_list),'go-', label=\"Flat Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Flat Validation Accuracy\")\nax.set_title(\"Flat Validation Accuracy vs Number of Epochs for for Roberta\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:02.851849Z","iopub.execute_input":"2024-02-04T10:20:02.852527Z","iopub.status.idle":"2024-02-04T10:20:03.186797Z","shell.execute_reply.started":"2024-02-04T10:20:02.852486Z","shell.execute_reply":"2024-02-04T10:20:03.185897Z"},"trusted":true},"execution_count":34,"outputs":[{"execution_count":34,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:20.566942Z","iopub.execute_input":"2024-02-04T10:20:20.567315Z","iopub.status.idle":"2024-02-04T10:20:20.592795Z","shell.execute_reply.started":"2024-02-04T10:20:20.567283Z","shell.execute_reply":"2024-02-04T10:20:20.591746Z"},"trusted":true},"execution_count":35,"outputs":[{"execution_count":35,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"test_labels = list(df_test.one_hot_labels.values)\nArticles_test = list(df_test.abstractText.values)\ntest_mesh_categories = list(df_test.columns[6:20])","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:36.523430Z","iopub.execute_input":"2024-02-04T10:20:36.523906Z","iopub.status.idle":"2024-02-04T10:20:36.532903Z","shell.execute_reply.started":"2024-02-04T10:20:36.523872Z","shell.execute_reply":"2024-02-04T10:20:36.531859Z"},"trusted":true},"execution_count":36,"outputs":[]},{"cell_type":"code","source":"# Encoding input data\ntest_encodings = tokenizer.batch_encode_plus(Articles_test,max_length=max_length,padding=True,truncation=True)\ntest_input_ids = test_encodings['input_ids']\ntest_attention_masks = test_encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:20:44.908200Z","iopub.execute_input":"2024-02-04T10:20:44.909011Z","iopub.status.idle":"2024-02-04T10:21:10.696799Z","shell.execute_reply.started":"2024-02-04T10:20:44.908969Z","shell.execute_reply":"2024-02-04T10:21:10.695769Z"},"trusted":true},"execution_count":37,"outputs":[]},{"cell_type":"code","source":"# Make tensors out of data\ntest_inputs = torch.tensor(test_input_ids)\ntest_labels = torch.tensor(test_labels)\ntest_masks = torch.tensor(test_attention_masks)\n# Create test dataloader\ntest_data = TensorDataset(test_inputs, test_masks, test_labels,)# test_token_types)\ntest_sampler = SequentialSampler(test_data)\ntest_dataloader = DataLoader(test_data, sampler=test_sampler, batch_size=batch_size)\n# Save test dataloader\ntorch.save(test_dataloader,'test_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:23:08.059149Z","iopub.execute_input":"2024-02-04T10:23:08.059928Z","iopub.status.idle":"2024-02-04T10:23:08.980715Z","shell.execute_reply.started":"2024-02-04T10:23:08.059892Z","shell.execute_reply":"2024-02-04T10:23:08.979735Z"},"trusted":true},"execution_count":38,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Test\n\n# Put model in evaluation mode to evaluate loss on the validation set\nmodel.eval()\n\n#track variables\nlogit_preds,true_labels,pred_labels,tokenized_texts = [],[],[],[]\n\n# Predict\nfor i, batch in enumerate(test_dataloader):\n batch = tuple(t.to(device) for t in batch)\n # Unpack the inputs from our dataloader\n b_input_ids, b_input_mask, b_labels, = batch\n with torch.no_grad():\n # Forward pass\n outs = model(b_input_ids, token_type_ids=None, attention_mask=b_input_mask)\n b_logit_pred = outs[0]\n pred_label = torch.sigmoid(b_logit_pred)\n\n b_logit_pred = b_logit_pred.detach().cpu().numpy()\n pred_label = pred_label.to('cpu').numpy()\n b_labels = b_labels.to('cpu').numpy()\n\n tokenized_texts.append(b_input_ids)\n logit_preds.append(b_logit_pred)\n true_labels.append(b_labels)\n pred_labels.append(pred_label)\n\n# Flatten outputs\ntokenized_texts = [item for sublist in tokenized_texts for item in sublist]\npred_labels = [item for sublist in pred_labels for item in sublist]\ntrue_labels = [item for sublist in true_labels for item in sublist]\n# Converting flattened binary values to boolean values\ntrue_bools = [tl==1 for tl in true_labels]","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:23:26.809799Z","iopub.execute_input":"2024-02-04T10:23:26.810601Z","iopub.status.idle":"2024-02-04T10:24:05.008347Z","shell.execute_reply.started":"2024-02-04T10:23:26.810570Z","shell.execute_reply":"2024-02-04T10:24:05.007270Z"},"trusted":true},"execution_count":39,"outputs":[{"name":"stdout","text":"CPU times: user 38.1 s, sys: 29 ms, total: 38.2 s\nWall time: 38.2 s\n","output_type":"stream"}]},{"cell_type":"code","source":"pred_bools = [pl>0.50 for pl in pred_labels] #boolean output after thresholding\n# Print and save classification report\nTest_F1_Accuracy=f1_score(true_bools, pred_bools,average='micro')\nTest_Flat_Accuracy= accuracy_score(true_bools, pred_bools)\nprint('Test F1 Accuracy: ',Test_F1_Accuracy )\nprint('Test Flat Accuracy: ',Test_Flat_Accuracy,'\\n')\n\ndf_test=pd.DataFrame({'Test F1 Accuracy':Test_F1_Accuracy, 'Test Flat Accuracy':Test_Flat_Accuracy},index=[0])\n\nprint(classification_report(true_bools,pred_bools,target_names=test_mesh_categories))\nclf_report = classification_report(true_bools,pred_bools,target_names=test_mesh_categories,output_dict=True)\ndf_report=pd.DataFrame(clf_report).transpose()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:26:28.782800Z","iopub.execute_input":"2024-02-04T10:26:28.783673Z","iopub.status.idle":"2024-02-04T10:26:29.069794Z","shell.execute_reply.started":"2024-02-04T10:26:28.783640Z","shell.execute_reply":"2024-02-04T10:26:29.068789Z"},"trusted":true},"execution_count":40,"outputs":[{"name":"stdout","text":"Test F1 Accuracy: 0.8445904441417621\nTest Flat Accuracy: 0.1571 \n\n precision recall f1-score support\n\n A 0.78 0.77 0.78 4609\n B 0.96 0.99 0.97 9250\n C 0.87 0.88 0.87 5206\n D 0.91 0.93 0.92 6259\n E 0.81 0.94 0.87 7778\n F 0.87 0.65 0.74 1767\n G 0.82 0.89 0.86 6799\n H 0.63 0.08 0.14 1221\n I 0.71 0.47 0.56 1068\n J 0.72 0.43 0.54 1110\n L 0.75 0.36 0.48 1491\n M 0.88 0.87 0.88 4232\n N 0.83 0.75 0.79 4602\n Z 0.75 0.67 0.71 1558\n\n micro avg 0.86 0.83 0.84 56950\n macro avg 0.81 0.69 0.72 56950\nweighted avg 0.85 0.83 0.83 56950\n samples avg 0.86 0.84 0.84 56950\n\n","output_type":"stream"}]},{"cell_type":"code","source":"df_report.to_csv('Classification_Report.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:26:50.907773Z","iopub.execute_input":"2024-02-04T10:26:50.908459Z","iopub.status.idle":"2024-02-04T10:26:50.915631Z","shell.execute_reply.started":"2024-02-04T10:26:50.908429Z","shell.execute_reply":"2024-02-04T10:26:50.914718Z"},"trusted":true},"execution_count":41,"outputs":[]},{"cell_type":"code","source":"model.save_pretrained('./Multi_label_Classification_Save/')\ntokenizer.save_pretrained('./Multi_label_Classification_Save/')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:26:59.214788Z","iopub.execute_input":"2024-02-04T10:26:59.215120Z","iopub.status.idle":"2024-02-04T10:27:00.008252Z","shell.execute_reply.started":"2024-02-04T10:26:59.215096Z","shell.execute_reply":"2024-02-04T10:27:00.007300Z"},"trusted":true},"execution_count":42,"outputs":[{"execution_count":42,"output_type":"execute_result","data":{"text/plain":"('./Multi_label_Classification_Save/tokenizer_config.json',\n './Multi_label_Classification_Save/special_tokens_map.json',\n './Multi_label_Classification_Save/vocab.json',\n './Multi_label_Classification_Save/merges.txt',\n './Multi_label_Classification_Save/added_tokens.json')"},"metadata":{}}]},{"cell_type":"markdown","source":"## Bio-Bert","metadata":{}},{"cell_type":"code","source":"tokenizer = BertTokenizer.from_pretrained('dmis-lab/biobert-base-cased-v1.2', do_lower_case=True) ","metadata":{"execution":{"iopub.status.busy":"2024-02-04T10:33:47.333480Z","iopub.execute_input":"2024-02-04T10:33:47.333869Z","iopub.status.idle":"2024-02-04T10:33:47.836941Z","shell.execute_reply.started":"2024-02-04T10:33:47.333841Z","shell.execute_reply":"2024-02-04T10:33:47.836011Z"},"trusted":true},"execution_count":45,"outputs":[{"output_type":"display_data","data":{"text/plain":"vocab.txt: 0%| | 0.00/213k [00:00threshold for pl in pred_labels]\n true_bools = [tl==1 for tl in true_labels]\n val_f1_accuracy = f1_score(true_bools,pred_bools,average='micro')*100\n val_flat_accuracy = accuracy_score(true_bools, pred_bools)*100\n\n print('F1 Validation Accuracy: ', val_f1_accuracy) \n print('Flat Validation Accuracy: ', val_flat_accuracy)\n print('\\n')\n val_f1_accuracy_list.append(val_f1_accuracy)\n val_flat_accuracy_list.append(val_flat_accuracy)\n epochs_list.append(epochs) \n \n wandb.log({\"train_loss\":tr_loss/nb_tr_steps,\"val_f1_accuracy\":val_f1_accuracy,\"val_flat_accuracy\":val_flat_accuracy,})\nwandb.finish()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T11:00:01.558567Z","iopub.execute_input":"2024-02-04T11:00:01.558947Z","iopub.status.idle":"2024-02-04T12:12:43.459211Z","shell.execute_reply.started":"2024-02-04T11:00:01.558919Z","shell.execute_reply":"2024-02-04T12:12:43.458239Z"},"trusted":true},"execution_count":56,"outputs":[{"name":"stderr","text":"\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mibetanibex\u001b[0m (\u001b[33mai-guru\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"","text/html":"Tracking run with wandb version 0.16.2"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Run data is saved locally in /kaggle/working/wandb/run-20240204_110001-14scs1yy"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Syncing run 42.Roberta-base-cased-v1.2-Run-27 to Weights & Biases (docs)
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View project at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/14scs1yy"},"metadata":{}},{"name":"stderr","text":"Epoch : 0%| | 0/6 [00:00","text/html":"\n

Run history:


train_loss█▆▄▃▂▁
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Run summary:


train_loss0.25087
val_f1_accuracy86.96845
val_flat_accuracy18.75

"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run 42.Roberta-base-cased-v1.2-Run-27 at: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/14scs1yy
Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Find logs at: ./wandb/run-20240204_110001-14scs1yy/logs"},"metadata":{}},{"name":"stdout","text":"CPU times: user 1h 12min 6s, sys: 2.09 s, total: 1h 12min 8s\nWall time: 1h 12min 41s\n","output_type":"stream"}]},{"cell_type":"code","source":"num_epochs = np.arange(1,len(training_loss_list)+1)\ndf_train_results=pd.DataFrame({'Epochs':num_epochs,'F1 Validation Accuracy':val_f1_accuracy_list,\\\n 'Flat Validation Accuracy':val_flat_accuracy_list,'Train loss':training_loss_list})","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:17.275314Z","iopub.execute_input":"2024-02-04T12:15:17.275738Z","iopub.status.idle":"2024-02-04T12:15:17.281973Z","shell.execute_reply.started":"2024-02-04T12:15:17.275705Z","shell.execute_reply":"2024-02-04T12:15:17.281096Z"},"trusted":true},"execution_count":57,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(training_loss_list) ,'bo-',label=\"Train Loss\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Training Loss\")\nax.set_title(\"Training Loss vs Number of Epochs for Bert-Base\",fontsize=18)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:26.941646Z","iopub.execute_input":"2024-02-04T12:15:26.942267Z","iopub.status.idle":"2024-02-04T12:15:27.309326Z","shell.execute_reply.started":"2024-02-04T12:15:26.942236Z","shell.execute_reply":"2024-02-04T12:15:27.308457Z"},"trusted":true},"execution_count":58,"outputs":[{"execution_count":58,"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Training Loss vs Number of Epochs for Bert-Base')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 7));\nax.plot(num_epochs, np.array(val_f1_accuracy_list),'ro-' ,label=\"F1 Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"F1 Validation Accuracy\")\nax.set_title(\"F1 Validation Accuracy vs Number of Epochs for Bert-Base\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:40.972216Z","iopub.execute_input":"2024-02-04T12:15:40.972603Z","iopub.status.idle":"2024-02-04T12:15:41.313674Z","shell.execute_reply.started":"2024-02-04T12:15:40.972572Z","shell.execute_reply":"2024-02-04T12:15:41.312725Z"},"trusted":true},"execution_count":59,"outputs":[{"execution_count":59,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"\nfig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(val_flat_accuracy_list),'go-', label=\"Flat Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Flat Validation Accuracy\")\nax.set_title(\"Flat Validation Accuracy vs Number of Epochs for for Bert-Base\",fontsize=18)\nax.set_ylim(0, 100)\n","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:15:56.421708Z","iopub.execute_input":"2024-02-04T12:15:56.422404Z","iopub.status.idle":"2024-02-04T12:15:56.745454Z","shell.execute_reply.started":"2024-02-04T12:15:56.422375Z","shell.execute_reply":"2024-02-04T12:15:56.744584Z"},"trusted":true},"execution_count":60,"outputs":[{"execution_count":60,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"df_train, df_test = train_test_split(df, random_state=32, test_size=0.20, shuffle=True)\nprint(df_train.shape)\nprint(df_test.shape)\ndel(df)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:21:30.498288Z","iopub.execute_input":"2024-02-04T12:21:30.498897Z","iopub.status.idle":"2024-02-04T12:21:30.522341Z","shell.execute_reply.started":"2024-02-04T12:21:30.498866Z","shell.execute_reply":"2024-02-04T12:21:30.521536Z"},"trusted":true},"execution_count":67,"outputs":[{"name":"stdout","text":"(40000, 20)\n(10000, 20)\n","output_type":"stream"}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:21:45.533376Z","iopub.execute_input":"2024-02-04T12:21:45.534269Z","iopub.status.idle":"2024-02-04T12:21:45.561481Z","shell.execute_reply.started":"2024-02-04T12:21:45.534237Z","shell.execute_reply":"2024-02-04T12:21:45.560434Z"},"trusted":true},"execution_count":68,"outputs":[{"execution_count":68,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"test_labels = list(df_test.one_hot_labels.values)\nArticles_test = list(df_test.abstractText.values)\ntest_mesh_categories = list(df_test.columns[6:20])","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:22:00.710339Z","iopub.execute_input":"2024-02-04T12:22:00.711011Z","iopub.status.idle":"2024-02-04T12:22:00.717729Z","shell.execute_reply.started":"2024-02-04T12:22:00.710979Z","shell.execute_reply":"2024-02-04T12:22:00.716829Z"},"trusted":true},"execution_count":69,"outputs":[]},{"cell_type":"code","source":"test_encodings = tokenizer.batch_encode_plus(Articles_test,max_length=max_length,padding=True,truncation=True)\ntest_input_ids = test_encodings['input_ids']\ntest_attention_masks = test_encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:22:10.573118Z","iopub.execute_input":"2024-02-04T12:22:10.573794Z","iopub.status.idle":"2024-02-04T12:23:38.683266Z","shell.execute_reply.started":"2024-02-04T12:22:10.573763Z","shell.execute_reply":"2024-02-04T12:23:38.682280Z"},"trusted":true},"execution_count":70,"outputs":[]},{"cell_type":"code","source":"test_inputs = torch.tensor(test_input_ids)\ntest_labels = torch.tensor(test_labels)\ntest_masks = torch.tensor(test_attention_masks)\n# Create test dataloader\ntest_data = TensorDataset(test_inputs, test_masks, test_labels,)# test_token_types)\ntest_sampler = SequentialSampler(test_data)\ntest_dataloader = DataLoader(test_data, sampler=test_sampler, batch_size=batch_size)\n# Save test dataloader\ntorch.save(test_dataloader,'test_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:27:43.240552Z","iopub.execute_input":"2024-02-04T12:27:43.241412Z","iopub.status.idle":"2024-02-04T12:27:44.164646Z","shell.execute_reply.started":"2024-02-04T12:27:43.241379Z","shell.execute_reply":"2024-02-04T12:27:44.163477Z"},"trusted":true},"execution_count":71,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Test\n\n# Put model in evaluation mode to evaluate loss on the validation set\nmodel.eval()\n\n#track variables\nlogit_preds,true_labels,pred_labels,tokenized_texts = [],[],[],[]\n\n# Predict\nfor i, batch in enumerate(test_dataloader):\n batch = tuple(t.to(device) for t in batch)\n # Unpack the inputs from our dataloader\n b_input_ids, b_input_mask, b_labels, = batch\n with torch.no_grad():\n # Forward pass\n outs = model(b_input_ids, token_type_ids=None, attention_mask=b_input_mask)\n b_logit_pred = outs[0]\n pred_label = torch.sigmoid(b_logit_pred)\n\n b_logit_pred = b_logit_pred.detach().cpu().numpy()\n pred_label = pred_label.to('cpu').numpy()\n b_labels = b_labels.to('cpu').numpy()\n\n tokenized_texts.append(b_input_ids)\n logit_preds.append(b_logit_pred)\n true_labels.append(b_labels)\n pred_labels.append(pred_label)\n\n# Flatten outputs\ntokenized_texts = [item for sublist in tokenized_texts for item in sublist]\npred_labels = [item for sublist in pred_labels for item in sublist]\ntrue_labels = [item for sublist in true_labels for item in sublist]\n# Converting flattened binary values to boolean values\ntrue_bools = [tl==1 for tl in true_labels]","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:27:45.663224Z","iopub.execute_input":"2024-02-04T12:27:45.663582Z","iopub.status.idle":"2024-02-04T12:28:59.934360Z","shell.execute_reply.started":"2024-02-04T12:27:45.663550Z","shell.execute_reply":"2024-02-04T12:28:59.933385Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"CPU times: user 1min 14s, sys: 25 ms, total: 1min 14s\nWall time: 1min 14s\n","output_type":"stream"}]},{"cell_type":"code","source":"pred_bools = [pl>0.50 for pl in pred_labels] #boolean output after thresholding\n# Print and save classification report\nTest_F1_Accuracy=f1_score(true_bools, pred_bools,average='micro')\nTest_Flat_Accuracy= accuracy_score(true_bools, pred_bools)\nprint('Test F1 Accuracy: ',Test_F1_Accuracy )\nprint('Test Flat Accuracy: ',Test_Flat_Accuracy,'\\n')\n\ndf_test=pd.DataFrame({'Test F1 Accuracy':Test_F1_Accuracy, 'Test Flat Accuracy':Test_Flat_Accuracy},index=[0])\n\nprint(classification_report(true_bools,pred_bools,target_names=test_mesh_categories))\nclf_report = classification_report(true_bools,pred_bools,target_names=test_mesh_categories,output_dict=True)\ndf_report=pd.DataFrame(clf_report).transpose()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:30:34.457821Z","iopub.execute_input":"2024-02-04T12:30:34.458173Z","iopub.status.idle":"2024-02-04T12:30:34.736630Z","shell.execute_reply.started":"2024-02-04T12:30:34.458148Z","shell.execute_reply":"2024-02-04T12:30:34.735652Z"},"trusted":true},"execution_count":73,"outputs":[{"name":"stdout","text":"Test F1 Accuracy: 0.8557193019325574\nTest Flat Accuracy: 0.1779 \n\n precision recall f1-score support\n\n A 0.78 0.83 0.81 4609\n B 0.96 0.99 0.97 9250\n C 0.88 0.89 0.89 5206\n D 0.92 0.93 0.92 6259\n E 0.80 0.98 0.88 7778\n F 0.85 0.71 0.77 1767\n G 0.83 0.89 0.86 6799\n H 0.58 0.13 0.22 1221\n I 0.72 0.55 0.63 1068\n J 0.75 0.54 0.63 1110\n L 0.71 0.46 0.56 1491\n M 0.88 0.90 0.89 4232\n N 0.82 0.78 0.80 4602\n Z 0.75 0.67 0.71 1558\n\n micro avg 0.85 0.86 0.86 56950\n macro avg 0.80 0.73 0.75 56950\nweighted avg 0.85 0.86 0.85 56950\n samples avg 0.86 0.86 0.85 56950\n\n","output_type":"stream"}]},{"cell_type":"code","source":"df_report.to_csv('Classification_Report_BERTSEQ.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:31:06.596804Z","iopub.execute_input":"2024-02-04T12:31:06.597170Z","iopub.status.idle":"2024-02-04T12:31:06.603102Z","shell.execute_reply.started":"2024-02-04T12:31:06.597143Z","shell.execute_reply":"2024-02-04T12:31:06.602108Z"},"trusted":true},"execution_count":74,"outputs":[]},{"cell_type":"code","source":"model.save_pretrained('./Multi_label_Classification_Save_bertseq/')\ntokenizer.save_pretrained('./Multi_label_Classification_Save_bertseq/')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:31:37.653447Z","iopub.execute_input":"2024-02-04T12:31:37.654289Z","iopub.status.idle":"2024-02-04T12:31:38.215052Z","shell.execute_reply.started":"2024-02-04T12:31:37.654257Z","shell.execute_reply":"2024-02-04T12:31:38.214165Z"},"trusted":true},"execution_count":75,"outputs":[{"execution_count":75,"output_type":"execute_result","data":{"text/plain":"('./Multi_label_Classification_Save_bertseq/tokenizer_config.json',\n './Multi_label_Classification_Save_bertseq/special_tokens_map.json',\n './Multi_label_Classification_Save_bertseq/vocab.txt',\n './Multi_label_Classification_Save_bertseq/added_tokens.json')"},"metadata":{}}]},{"cell_type":"markdown","source":"## XLNet","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:32:49.201606Z","iopub.execute_input":"2024-02-04T12:32:49.202276Z","iopub.status.idle":"2024-02-04T12:32:49.206188Z","shell.execute_reply.started":"2024-02-04T12:32:49.202245Z","shell.execute_reply":"2024-02-04T12:32:49.205201Z"}}},{"cell_type":"code","source":"df_train, df_test = train_test_split(df, random_state=32, test_size=0.20, shuffle=True)\nprint(df_train.shape)\nprint(df_test.shape)\ndel(df)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:35:09.610746Z","iopub.execute_input":"2024-02-04T12:35:09.611106Z","iopub.status.idle":"2024-02-04T12:35:09.639262Z","shell.execute_reply.started":"2024-02-04T12:35:09.611079Z","shell.execute_reply":"2024-02-04T12:35:09.638344Z"},"trusted":true},"execution_count":79,"outputs":[{"name":"stdout","text":"(40000, 20)\n(10000, 20)\n","output_type":"stream"}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:35:34.834865Z","iopub.execute_input":"2024-02-04T12:35:34.835301Z","iopub.status.idle":"2024-02-04T12:35:34.861797Z","shell.execute_reply.started":"2024-02-04T12:35:34.835266Z","shell.execute_reply":"2024-02-04T12:35:34.860757Z"},"trusted":true},"execution_count":80,"outputs":[{"execution_count":80,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"tokenizer = XLNetTokenizer.from_pretrained('xlnet-base-cased', do_lower_case=False)\nencodings = tokenizer.batch_encode_plus(Article_train,max_length=max_length,padding=True,truncation=True) # tokenizer's encoding method\nprint('tokenizer outputs: ', encodings.keys())\n\ninput_ids = encodings['input_ids'] # tokenized and encoded sentences\nattention_masks = encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:37:22.863467Z","iopub.execute_input":"2024-02-04T12:37:22.864330Z","iopub.status.idle":"2024-02-04T12:38:57.572462Z","shell.execute_reply.started":"2024-02-04T12:37:22.864296Z","shell.execute_reply":"2024-02-04T12:38:57.571384Z"},"trusted":true},"execution_count":81,"outputs":[{"output_type":"display_data","data":{"text/plain":"spiece.model: 0%| | 0.00/798k [00:00\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
31112Neurofibromatosis associated with a coronary a...A case of a patient with type 1 neurofibromato...['Aged', 'Coronary Aneurysm', 'Humans', 'Male'...11144803[['M01.060.116.100'], ['C14.280.647.250.250', ...['Named Groups [M]', 'Diseases [C]', 'Organism...0110...000000100[0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0]
48911Phenolic constituents from Perovskia atriplici...Perovskoate, an isorinic acid derivative (1) a...['Caffeic Acids', 'Catechols', 'Cholinesterase...16644529[['D02.241.223.200.054'], ['D02.455.426.559.38...['Chemicals and Drugs [D]', 'Analytical, Diagn...0101...010000000[0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0]
16394Motion artifact and background noise suppressi...Optical coherence tomography (OCT) is a techni...['Algorithms', 'Angiography', 'Artifacts', 'Ar...25089975[['G17.035', 'L01.224.050'], ['E01.370.350.700...['Phenomena and Processes [G]', 'Information S...0000...010001010[0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0]
\n

3 rows × 21 columns

\n"},"metadata":{}}]},{"cell_type":"code","source":"label_counts = df_train.one_hot_labels.astype(str).value_counts()\none_freq = label_counts[label_counts==1].keys()\none_freq_idxs = sorted(list(df_train[df_train.one_hot_labels.astype(str).isin(one_freq)].index), reverse=True)\nprint('df label indices with only one instance: ', one_freq_idxs)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:02.269468Z","iopub.execute_input":"2024-02-04T12:43:02.269862Z","iopub.status.idle":"2024-02-04T12:43:08.301797Z","shell.execute_reply.started":"2024-02-04T12:43:02.269835Z","shell.execute_reply":"2024-02-04T12:43:08.300859Z"},"trusted":true},"execution_count":84,"outputs":[{"name":"stdout","text":"df label indices with only one instance: [49950, 49878, 49876, 49838, 49759, 49739, 49696, 49590, 49585, 49574, 49546, 49535, 49528, 49487, 49470, 49419, 49404, 49395, 49314, 49245, 49150, 49080, 49071, 49058, 49004, 48991, 48982, 48922, 48919, 48757, 48708, 48686, 48679, 48677, 48602, 48594, 48583, 48531, 48454, 48438, 48411, 48388, 48375, 48350, 48337, 48298, 48213, 48185, 48123, 48085, 48075, 48056, 48020, 48001, 47876, 47840, 47828, 47817, 47776, 47671, 47495, 47435, 47369, 47363, 47362, 47359, 47356, 47321, 47293, 47244, 47239, 47159, 47104, 47089, 47061, 47050, 47002, 46955, 46887, 46874, 46837, 46747, 46706, 46651, 46635, 46598, 46446, 46365, 46247, 46223, 46199, 46170, 46033, 46028, 45955, 45946, 45756, 45755, 45712, 45682, 45671, 45573, 45509, 45430, 45391, 45317, 45294, 45226, 45216, 45190, 45134, 45132, 45105, 45052, 45035, 45025, 44971, 44953, 44867, 44851, 44827, 44777, 44763, 44625, 44606, 44598, 44586, 44579, 44574, 44568, 44499, 44479, 44462, 44296, 44206, 44181, 44116, 44105, 44100, 44090, 43970, 43957, 43831, 43792, 43736, 43721, 43684, 43623, 43574, 43553, 43350, 43307, 43287, 43281, 43220, 43198, 43162, 43156, 43136, 43106, 43091, 43053, 42943, 42845, 42831, 42720, 42703, 42661, 42625, 42600, 42561, 42454, 42381, 42370, 42364, 42287, 42048, 42044, 42010, 41953, 41896, 41881, 41814, 41813, 41737, 41671, 41579, 41466, 41413, 41364, 41283, 41248, 41188, 41180, 41145, 41046, 40974, 40905, 40841, 40826, 40820, 40744, 40732, 40715, 40673, 40666, 40609, 40556, 40548, 40533, 40529, 40446, 40417, 40408, 40367, 40363, 40234, 40217, 40204, 40129, 40127, 40034, 39998, 39997, 39964, 39960, 39908, 39890, 39860, 39827, 39813, 39796, 39775, 39769, 39752, 39743, 39729, 39717, 39695, 39682, 39627, 39588, 39568, 39556, 39550, 39540, 39495, 39375, 39200, 39145, 39097, 39072, 39038, 39000, 38997, 38976, 38874, 38832, 38809, 38751, 38705, 38670, 38659, 38648, 38644, 38609, 38522, 38437, 38418, 38414, 38313, 38287, 38246, 38215, 38207, 38144, 38130, 38125, 38064, 37954, 37921, 37798, 37758, 37709, 37704, 37703, 37686, 37670, 37536, 37532, 37531, 37448, 37438, 37432, 37382, 37333, 37198, 37083, 37074, 36980, 36971, 36921, 36828, 36803, 36762, 36754, 36746, 36679, 36660, 36641, 36639, 36578, 36512, 36483, 36442, 36400, 36367, 36323, 36310, 36304, 36281, 36240, 36239, 36233, 36215, 36202, 36197, 36189, 36186, 36107, 36103, 36068, 36024, 35962, 35833, 35832, 35781, 35738, 35697, 35617, 35565, 35564, 35555, 35488, 35460, 35411, 35409, 35330, 35281, 35242, 35211, 35164, 35112, 35067, 35043, 34978, 34965, 34910, 34868, 34863, 34859, 34823, 34802, 34731, 34669, 34668, 34636, 34598, 34560, 34549, 34465, 34450, 34377, 34164, 34141, 34107, 33979, 33959, 33854, 33812, 33673, 33639, 33473, 33465, 33390, 33322, 33261, 33257, 33226, 33214, 33087, 33015, 32975, 32962, 32960, 32943, 32917, 32863, 32848, 32846, 32820, 32778, 32771, 32759, 32525, 32461, 32241, 32217, 32166, 32144, 32135, 32010, 31904, 31899, 31873, 31860, 31833, 31827, 31751, 31732, 31695, 31663, 31654, 31584, 31504, 31497, 31465, 31426, 31357, 31335, 31298, 31288, 31177, 31150, 31116, 31071, 30949, 30858, 30847, 30807, 30699, 30645, 30599, 30585, 30578, 30431, 30370, 30355, 30347, 30306, 30296, 30262, 30174, 30080, 30067, 30052, 30018, 29945, 29906, 29859, 29820, 29770, 29756, 29752, 29743, 29713, 29710, 29495, 29402, 29363, 29356, 29346, 29289, 29276, 29265, 29263, 29048, 29029, 28993, 28965, 28881, 28879, 28817, 28776, 28753, 28673, 28646, 28638, 28574, 28562, 28537, 28435, 28396, 28381, 28332, 28268, 28265, 28217, 28134, 28123, 28109, 28087, 27953, 27917, 27899, 27881, 27862, 27853, 27810, 27750, 27716, 27687, 27659, 27639, 27608, 27575, 27559, 27399, 27383, 27348, 27267, 27242, 27136, 27047, 26998, 26986, 26883, 26868, 26860, 26812, 26766, 26722, 26676, 26652, 26633, 26620, 26552, 26529, 26506, 26496, 26392, 26382, 26353, 26279, 26258, 26252, 26225, 26202, 26177, 26138, 25981, 25945, 25906, 25892, 25887, 25872, 25789, 25740, 25733, 25637, 25551, 25533, 25502, 25400, 25309, 25269, 25144, 25095, 25047, 25039, 24892, 24724, 24702, 24582, 24567, 24540, 24507, 24466, 24465, 24458, 24449, 24426, 24424, 24416, 24338, 24331, 24265, 24201, 24108, 24065, 24047, 24009, 23968, 23967, 23963, 23912, 23901, 23873, 23851, 23798, 23784, 23766, 23764, 23605, 23601, 23550, 23508, 23485, 23459, 23437, 23394, 23227, 23226, 23200, 23173, 23170, 23114, 23082, 23071, 23025, 22938, 22865, 22842, 22788, 22739, 22705, 22697, 22666, 22557, 22501, 22463, 22408, 22319, 22288, 22139, 22059, 22017, 22011, 21996, 21966, 21960, 21950, 21903, 21754, 21742, 21656, 21632, 21613, 21577, 21566, 21563, 21539, 21332, 21320, 21257, 21232, 21205, 21201, 21174, 21137, 21115, 21081, 21071, 21048, 21031, 20942, 20802, 20733, 20726, 20715, 20710, 20686, 20517, 20481, 20459, 20455, 20447, 20334, 20324, 20320, 20305, 20206, 20178, 20168, 20165, 20130, 20116, 20084, 20072, 20060, 19967, 19936, 19915, 19905, 19897, 19852, 19814, 19804, 19749, 19740, 19725, 19678, 19631, 19621, 19575, 19515, 19501, 19459, 19350, 19307, 19289, 19258, 19207, 19201, 19194, 19192, 19135, 19036, 19024, 19008, 18995, 18951, 18941, 18890, 18851, 18810, 18796, 18755, 18735, 18714, 18627, 18613, 18583, 18573, 18531, 18507, 18502, 18501, 18496, 18448, 18437, 18355, 18263, 18241, 18239, 18219, 18217, 18203, 18182, 18112, 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attention_masks,\n random_state=2020, test_size=0.20)\n\n# Convert all of our data into torch tensors, the required datatype for our BERT Pytorch model\ntrain_inputs = torch.tensor(train_inputs)\ntrain_labels = torch.tensor(train_labels)\ntrain_masks = torch.tensor(train_masks)\n\nvalidation_inputs = torch.tensor(validation_inputs)\nvalidation_labels = torch.tensor(validation_labels)\nvalidation_masks = torch.tensor(validation_masks)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:08.303431Z","iopub.execute_input":"2024-02-04T12:43:08.303833Z","iopub.status.idle":"2024-02-04T12:43:11.882310Z","shell.execute_reply.started":"2024-02-04T12:43:08.303805Z","shell.execute_reply":"2024-02-04T12:43:11.881478Z"},"trusted":true},"execution_count":85,"outputs":[]},{"cell_type":"code","source":"train_data = TensorDataset(train_inputs, train_masks, train_labels,)\ntrain_sampler = RandomSampler(train_data)\ntrain_dataloader = DataLoader(train_data, sampler=train_sampler, batch_size=batch_size)\n\nvalidation_data = TensorDataset(validation_inputs, validation_masks, validation_labels,)\nvalidation_sampler = SequentialSampler(validation_data)\nvalidation_dataloader = DataLoader(validation_data, sampler=validation_sampler, batch_size=batch_size)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:11.883752Z","iopub.execute_input":"2024-02-04T12:43:11.884122Z","iopub.status.idle":"2024-02-04T12:43:11.895163Z","shell.execute_reply.started":"2024-02-04T12:43:11.884088Z","shell.execute_reply":"2024-02-04T12:43:11.894322Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"code","source":"torch.save(validation_dataloader,'validation_data_loader')\ntorch.save(train_dataloader,'train_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:11.897326Z","iopub.execute_input":"2024-02-04T12:43:11.897638Z","iopub.status.idle":"2024-02-04T12:43:12.067816Z","shell.execute_reply.started":"2024-02-04T12:43:11.897604Z","shell.execute_reply":"2024-02-04T12:43:12.066697Z"},"trusted":true},"execution_count":87,"outputs":[]},{"cell_type":"code","source":"model = XLNetForSequenceClassification.from_pretrained(\"xlnet-base-cased\", num_labels=num_labels)\nmodel.cuda()\nprint('Model Pushed to Cuda for Training')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:12.071135Z","iopub.execute_input":"2024-02-04T12:43:12.071421Z","iopub.status.idle":"2024-02-04T12:43:16.272177Z","shell.execute_reply.started":"2024-02-04T12:43:12.071397Z","shell.execute_reply":"2024-02-04T12:43:16.271300Z"},"trusted":true},"execution_count":88,"outputs":[{"output_type":"display_data","data":{"text/plain":"pytorch_model.bin: 0%| | 0.00/467M [00:00threshold for pl in pred_labels]\n true_bools = [tl==1 for tl in true_labels]\n val_f1_accuracy = f1_score(true_bools,pred_bools,average='micro')*100\n val_flat_accuracy = accuracy_score(true_bools, pred_bools)*100\n\n print('F1 Validation Accuracy: ', val_f1_accuracy) \n print('Flat Validation Accuracy: ', val_flat_accuracy)\n print('\\n')\n val_f1_accuracy_list.append(val_f1_accuracy)\n val_flat_accuracy_list.append(val_flat_accuracy)\n epochs_list.append(epochs) \n \n wandb.log({\"train_loss\":tr_loss/nb_tr_steps,\"val_f1_accuracy\":val_f1_accuracy,\"val_flat_accuracy\":val_flat_accuracy,})\nwandb.finish()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T12:43:16.303694Z","iopub.execute_input":"2024-02-04T12:43:16.304020Z","iopub.status.idle":"2024-02-04T14:24:07.882055Z","shell.execute_reply.started":"2024-02-04T12:43:16.303991Z","shell.execute_reply":"2024-02-04T14:24:07.881236Z"},"trusted":true},"execution_count":92,"outputs":[{"output_type":"display_data","data":{"text/plain":"","text/html":"Tracking run with wandb version 0.16.2"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Run data is saved locally in /kaggle/working/wandb/run-20240204_124316-fylodx7t"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Syncing run 42.XLNET-base-cased-v1.2-Run-27 to Weights & Biases (docs)
"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View project at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run at https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/fylodx7t"},"metadata":{}},{"name":"stderr","text":"Epoch : 0%| | 0/6 [00:00","text/html":"\n

Run history:


train_loss█▆▅▄▂▁
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Run summary:


train_loss0.17651
val_f1_accuracy85.52097
val_flat_accuracy14.0625

"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":" View run 42.XLNET-base-cased-v1.2-Run-27 at: https://wandb.ai/ai-guru/Multi%20Label%20Classification%20of%20PubMed%20Articles%20%28Paper%20Night%20Presentation%29/runs/fylodx7t
Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"","text/html":"Find logs at: ./wandb/run-20240204_124316-fylodx7t/logs"},"metadata":{}},{"name":"stdout","text":"CPU times: user 1h 41min 23s, sys: 3.19 s, total: 1h 41min 26s\nWall time: 1h 40min 51s\n","output_type":"stream"}]},{"cell_type":"code","source":"num_epochs = np.arange(1,len(training_loss_list)+1)\ndf_train_results=pd.DataFrame({'Epochs':num_epochs,'F1 Validation Accuracy':val_f1_accuracy_list,\\\n 'Flat Validation Accuracy':val_flat_accuracy_list,'Train loss':training_loss_list})","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:36:35.812876Z","iopub.execute_input":"2024-02-04T14:36:35.813621Z","iopub.status.idle":"2024-02-04T14:36:35.819078Z","shell.execute_reply.started":"2024-02-04T14:36:35.813580Z","shell.execute_reply":"2024-02-04T14:36:35.818098Z"},"trusted":true},"execution_count":93,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(training_loss_list) ,'bo-',label=\"Train Loss\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Training Loss\")\n","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:37:01.236323Z","iopub.execute_input":"2024-02-04T14:37:01.236994Z","iopub.status.idle":"2024-02-04T14:37:01.545324Z","shell.execute_reply.started":"2024-02-04T14:37:01.236963Z","shell.execute_reply":"2024-02-04T14:37:01.544439Z"},"trusted":true},"execution_count":94,"outputs":[{"execution_count":94,"output_type":"execute_result","data":{"text/plain":"Text(0, 0.5, 'Training Loss')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 7));\nax.plot(num_epochs, np.array(val_f1_accuracy_list),'ro-' ,label=\"F1 Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"F1 Validation Accuracy\")\nax.set_title(\"F1 Validation Accuracy vs Number of Epochs for XL-NET\",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:37:55.154574Z","iopub.execute_input":"2024-02-04T14:37:55.154977Z","iopub.status.idle":"2024-02-04T14:37:55.482369Z","shell.execute_reply.started":"2024-02-04T14:37:55.154950Z","shell.execute_reply":"2024-02-04T14:37:55.481433Z"},"trusted":true},"execution_count":96,"outputs":[{"execution_count":96,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(10, 5));\nax.plot(num_epochs, np.array(val_flat_accuracy_list),'go-', label=\"Flat Validation Accuracy\")\nax.set_xlabel(\"Number of Epochs\")\nax.set_ylabel(\"Flat Validation Accuracy\")\nax.set_title(\"Flat Validation Accuracy vs Number of Epochs for XL-NET \",fontsize=18)\nax.set_ylim(0, 100)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:38:59.129152Z","iopub.execute_input":"2024-02-04T14:38:59.129749Z","iopub.status.idle":"2024-02-04T14:38:59.464275Z","shell.execute_reply.started":"2024-02-04T14:38:59.129717Z","shell.execute_reply":"2024-02-04T14:38:59.463318Z"},"trusted":true},"execution_count":97,"outputs":[{"execution_count":97,"output_type":"execute_result","data":{"text/plain":"(0.0, 100.0)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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"},"metadata":{}}]},{"cell_type":"code","source":"df_test['one_hot_labels'] = list(df_test[mesh_Heading_categories].values)\ndf_test.head(3)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:39:40.391602Z","iopub.execute_input":"2024-02-04T14:39:40.392281Z","iopub.status.idle":"2024-02-04T14:39:40.416346Z","shell.execute_reply.started":"2024-02-04T14:39:40.392248Z","shell.execute_reply":"2024-02-04T14:39:40.415473Z"},"trusted":true},"execution_count":98,"outputs":[{"execution_count":98,"output_type":"execute_result","data":{"text/plain":" Title \\\n35083 Expression of N-methyl-d-aspartate receptor 1 ... \n9005 Protection of pregnant swine by vaccination ag... \n23836 An examination of Escherichia coli strains iso... \n\n abstractText \\\n35083 High levels of glutamate can be toxic to retin... \n9005 The protection conferred on pregnant gilts by ... \n23836 Ninety-five strains of Escherichia coli isolat... \n\n meshMajor pmid \\\n35083 ['Analysis of Variance', 'Animals', 'Cell Deat... 17942238 \n9005 ['Animals', 'Antibodies, Bacterial', 'Bacteria... 7150130 \n23836 ['Animals', 'Antigens', 'Antigens, Bacterial',... 6135266 \n\n meshid \\\n35083 [['E05.318.740.150', 'N05.715.360.750.125', 'N... \n9005 [['B01.050'], ['D12.776.124.486.485.114.107', ... \n23836 [['B01.050'], ['D23.050'], ['D23.050.161'], ['... \n\n meshroot A B C D ... F \\\n35083 ['Analytical, Diagnostic and Therapeutic Techn... 1 1 1 1 ... 0 \n9005 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 0 1 1 1 ... 0 \n23836 ['Organisms [B]', 'Chemicals and Drugs [D]', '... 1 1 1 1 ... 0 \n\n G H I J L M N Z one_hot_labels \n35083 1 0 0 0 0 0 1 0 [1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n9005 1 0 0 0 0 0 1 0 [0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0] \n23836 1 0 0 0 0 0 0 0 [1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] \n\n[3 rows x 21 columns]","text/html":"
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TitleabstractTextmeshMajorpmidmeshidmeshrootABCD...FGHIJLMNZone_hot_labels
35083Expression of N-methyl-d-aspartate receptor 1 ...High levels of glutamate can be toxic to retin...['Analysis of Variance', 'Animals', 'Cell Deat...17942238[['E05.318.740.150', 'N05.715.360.750.125', 'N...['Analytical, Diagnostic and Therapeutic Techn...1111...010000010[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
9005Protection of pregnant swine by vaccination ag...The protection conferred on pregnant gilts by ...['Animals', 'Antibodies, Bacterial', 'Bacteria...7150130[['B01.050'], ['D12.776.124.486.485.114.107', ...['Organisms [B]', 'Chemicals and Drugs [D]', '...0111...010000010[0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0]
23836An examination of Escherichia coli strains iso...Ninety-five strains of Escherichia coli isolat...['Animals', 'Antigens', 'Antigens, Bacterial',...6135266[['B01.050'], ['D23.050'], ['D23.050.161'], ['...['Organisms [B]', 'Chemicals and Drugs [D]', '...1111...010000000[1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
\n

3 rows × 21 columns

\n
"},"metadata":{}}]},{"cell_type":"code","source":"test_labels = list(df_test.one_hot_labels.values)\nArticles_test = list(df_test.abstractText.values)\ntest_mesh_categories = list(df_test.columns[6:20])","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:40:02.031144Z","iopub.execute_input":"2024-02-04T14:40:02.031766Z","iopub.status.idle":"2024-02-04T14:40:02.039693Z","shell.execute_reply.started":"2024-02-04T14:40:02.031734Z","shell.execute_reply":"2024-02-04T14:40:02.038575Z"},"trusted":true},"execution_count":99,"outputs":[]},{"cell_type":"code","source":"test_encodings = tokenizer.batch_encode_plus(Articles_test,max_length=max_length,padding=True,truncation=True)\ntest_input_ids = test_encodings['input_ids']\ntest_attention_masks = test_encodings['attention_mask']","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:40:24.531297Z","iopub.execute_input":"2024-02-04T14:40:24.531693Z","iopub.status.idle":"2024-02-04T14:40:48.673753Z","shell.execute_reply.started":"2024-02-04T14:40:24.531662Z","shell.execute_reply":"2024-02-04T14:40:48.672578Z"},"trusted":true},"execution_count":100,"outputs":[]},{"cell_type":"code","source":"test_inputs = torch.tensor(test_input_ids)\ntest_labels = torch.tensor(test_labels)\ntest_masks = torch.tensor(test_attention_masks)\n# Create test dataloader\ntest_data = TensorDataset(test_inputs, test_masks, test_labels,)# test_token_types)\ntest_sampler = SequentialSampler(test_data)\ntest_dataloader = DataLoader(test_data, sampler=test_sampler, batch_size=batch_size)\n# Save test dataloader\ntorch.save(test_dataloader,'test_data_loader')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:40:49.666723Z","iopub.execute_input":"2024-02-04T14:40:49.667626Z","iopub.status.idle":"2024-02-04T14:40:50.567718Z","shell.execute_reply.started":"2024-02-04T14:40:49.667569Z","shell.execute_reply":"2024-02-04T14:40:50.566897Z"},"trusted":true},"execution_count":101,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Test\n\n# Put model in evaluation mode to evaluate loss on the validation set\nmodel.eval()\n\n#track variables\nlogit_preds,true_labels,pred_labels,tokenized_texts = [],[],[],[]\n\n# Predict\nfor i, batch in enumerate(test_dataloader):\n batch = tuple(t.to(device) for t in batch)\n # Unpack the inputs from our dataloader\n b_input_ids, b_input_mask, b_labels, = batch\n with torch.no_grad():\n # Forward pass\n outs = model(b_input_ids, token_type_ids=None, attention_mask=b_input_mask)\n b_logit_pred = outs[0]\n pred_label = torch.sigmoid(b_logit_pred)\n\n b_logit_pred = b_logit_pred.detach().cpu().numpy()\n pred_label = pred_label.to('cpu').numpy()\n b_labels = b_labels.to('cpu').numpy()\n\n tokenized_texts.append(b_input_ids)\n logit_preds.append(b_logit_pred)\n true_labels.append(b_labels)\n pred_labels.append(pred_label)\n\n# Flatten outputs\ntokenized_texts = [item for sublist in tokenized_texts for item in sublist]\npred_labels = [item for sublist in pred_labels for item in sublist]\ntrue_labels = [item for sublist in true_labels for item in sublist]\n# Converting flattened binary values to boolean values\ntrue_bools = [tl==1 for tl in true_labels]","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:42:17.770657Z","iopub.execute_input":"2024-02-04T14:42:17.771335Z","iopub.status.idle":"2024-02-04T14:44:11.354881Z","shell.execute_reply.started":"2024-02-04T14:42:17.771302Z","shell.execute_reply":"2024-02-04T14:44:11.353920Z"},"trusted":true},"execution_count":103,"outputs":[{"name":"stdout","text":"CPU times: user 1min 55s, sys: 1.16 s, total: 1min 56s\nWall time: 1min 53s\n","output_type":"stream"}]},{"cell_type":"code","source":"pred_bools = [pl>0.50 for pl in pred_labels] #boolean output after thresholding\n# Print and save classification report\nTest_F1_Accuracy=f1_score(true_bools, pred_bools,average='micro')\nTest_Flat_Accuracy= accuracy_score(true_bools, pred_bools)\nprint('Test F1 Accuracy: ',Test_F1_Accuracy )\nprint('Test Flat Accuracy: ',Test_Flat_Accuracy,'\\n')\ndf_test=pd.DataFrame({'Test F1 Accuracy':Test_F1_Accuracy, 'Test Flat Accuracy':Test_Flat_Accuracy},index=[0])\nprint(classification_report(true_bools,pred_bools,target_names=test_mesh_categories))\nclf_report = classification_report(true_bools,pred_bools,target_names=test_mesh_categories,output_dict=True)\ndf_report=pd.DataFrame(clf_report).transpose()","metadata":{"execution":{"iopub.status.busy":"2024-02-04T14:59:55.982668Z","iopub.execute_input":"2024-02-04T14:59:55.983034Z","iopub.status.idle":"2024-02-04T14:59:56.265186Z","shell.execute_reply.started":"2024-02-04T14:59:55.983007Z","shell.execute_reply":"2024-02-04T14:59:56.264247Z"},"trusted":true},"execution_count":105,"outputs":[{"name":"stdout","text":"Test F1 Accuracy: 0.8427982526302837\nTest Flat Accuracy: 0.1512 \n\n precision recall f1-score support\n\n A 0.83 0.70 0.76 4609\n B 0.96 0.98 0.97 9250\n C 0.86 0.88 0.87 5206\n D 0.92 0.91 0.91 6259\n E 0.81 0.95 0.87 7778\n F 0.76 0.78 0.77 1767\n G 0.84 0.86 0.85 6799\n H 0.51 0.26 0.34 1221\n I 0.67 0.61 0.63 1068\n J 0.66 0.57 0.61 1110\n L 0.57 0.55 0.56 1491\n M 0.88 0.88 0.88 4232\n N 0.80 0.78 0.79 4602\n Z 0.76 0.67 0.71 1558\n\n micro avg 0.84 0.84 0.84 56950\n macro avg 0.77 0.74 0.75 56950\nweighted avg 0.84 0.84 0.84 56950\n samples avg 0.85 0.85 0.83 56950\n\n","output_type":"stream"}]},{"cell_type":"code","source":"df_report.to_csv('Classification_Report_XLNET.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2024-02-04T15:00:25.937680Z","iopub.execute_input":"2024-02-04T15:00:25.938349Z","iopub.status.idle":"2024-02-04T15:00:25.944134Z","shell.execute_reply.started":"2024-02-04T15:00:25.938318Z","shell.execute_reply":"2024-02-04T15:00:25.942972Z"},"trusted":true},"execution_count":106,"outputs":[]},{"cell_type":"code","source":"model.save_pretrained('./Multi_label_Classification_Save_xlnet/')\ntokenizer.save_pretrained('./Multi_label_Classification_Save_xlnet/')","metadata":{"execution":{"iopub.status.busy":"2024-02-04T15:01:46.220419Z","iopub.execute_input":"2024-02-04T15:01:46.221359Z","iopub.status.idle":"2024-02-04T15:01:46.865488Z","shell.execute_reply.started":"2024-02-04T15:01:46.221325Z","shell.execute_reply":"2024-02-04T15:01:46.864571Z"},"trusted":true},"execution_count":107,"outputs":[{"execution_count":107,"output_type":"execute_result","data":{"text/plain":"('./Multi_label_Classification_Save_xlnet/tokenizer_config.json',\n './Multi_label_Classification_Save_xlnet/special_tokens_map.json',\n './Multi_label_Classification_Save_xlnet/spiece.model',\n './Multi_label_Classification_Save_xlnet/added_tokens.json')"},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/PubMed Text Classification/Results/test_data_loader b/PubMed Text Classification/Results/test_data_loader new file mode 100644 index 000000000..c802526bc Binary files /dev/null and b/PubMed Text Classification/Results/test_data_loader differ diff --git a/PubMed Text Classification/Results/tokenizer_config (1).json b/PubMed Text Classification/Results/tokenizer_config (1).json new file mode 100644 index 000000000..e50ad568d --- /dev/null +++ b/PubMed Text Classification/Results/tokenizer_config (1).json @@ -0,0 +1,15 @@ +{ + "cls_token": "[CLS]", + "do_basic_tokenize": true, + "do_lower_case": true, + "mask_token": "[MASK]", + "name_or_path": "dmis-lab/biobert-base-cased-v1.2", + "never_split": null, + "pad_token": "[PAD]", + "sep_token": "[SEP]", + "special_tokens_map_file": null, + "strip_accents": null, + "tokenize_chinese_chars": true, + "tokenizer_class": "BertTokenizer", + "unk_token": "[UNK]" +} diff --git a/PubMed Text Classification/Results/tokenizer_config (2).json b/PubMed Text Classification/Results/tokenizer_config (2).json new file mode 100644 index 000000000..6c8f6be71 --- /dev/null +++ b/PubMed Text Classification/Results/tokenizer_config (2).json @@ -0,0 +1,65 @@ +{ + "add_prefix_space": false, + "bos_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "do_lower_case": false, + "eos_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "errors": "replace", + "mask_token": { + "__type": "AddedToken", + "content": "", + "lstrip": true, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "model_max_length": 512, + "name_or_path": "distilroberta-base", + "pad_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "special_tokens_map_file": null, + "tokenizer_class": "RobertaTokenizer", + "unk_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/PubMed Text Classification/Results/tokenizer_config.json b/PubMed Text Classification/Results/tokenizer_config.json new file mode 100644 index 000000000..c017993b9 --- /dev/null +++ b/PubMed Text Classification/Results/tokenizer_config.json @@ -0,0 +1,27 @@ +{ + "additional_special_tokens": [ + "", + "" + ], + "bos_token": "", + "cls_token": "", + "do_lower_case": false, + "eos_token": "", + "keep_accents": false, + "mask_token": { + "__type": "AddedToken", + "content": "", + "lstrip": true, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "name_or_path": "xlnet-base-cased", + "pad_token": "", + "remove_space": true, + "sep_token": "", + "sp_model_kwargs": {}, + "special_tokens_map_file": null, + "tokenizer_class": "XLNetTokenizer", + "unk_token": "" +} diff --git a/PubMed Text Classification/Results/validation_data_loader b/PubMed Text Classification/Results/validation_data_loader new file mode 100644 index 000000000..79a964e1a Binary files /dev/null and b/PubMed Text Classification/Results/validation_data_loader differ diff --git a/PubMed Text Classification/Results/vocab.json b/PubMed Text Classification/Results/vocab.json 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"Chall": 41584, + "Champ": 43225, + "Chan": 44485, + "Chance": 35272, + "Change": 36657, + "Changed": 49108, + "Changes": 44669, + "Changing": 44818, + "Channel": 17305, + "Chapter": 45642, + "Char": 42379, + "Character": 48116, + "Characters": 49282, + "Charg": 44932, + "Charge": 44136, + "Charges": 47654, + "Charl": 33193, + "Charles": 29217, + "Charlie": 34320, + "Chart": 25136, + "Chat": 29665, + "Che": 16764, + "Check": 26615, + "Chel": 47735, + "Chelsea": 27725, + "Chem": 41302, + "Chest": 48351, + "Chicago": 21897, + "Chicken": 45905, + "Chief": 20364, + "Child": 39487, + "Children": 31008, + "China": 8481, + "Chinese": 24727, + "Chip": 41016, + "Cho": 43625, + "Choice": 41646, + "Choose": 45181, + "Chris": 16084, + "Christ": 26352, + "Christian": 27077, + "Christmas": 27298, + "Christopher": 41055, + "Chuck": 40872, + "Church": 43138, + "Circ": 43412, + "City": 15075, + "Civil": 41044, + "Cl": 11428, + "Cla": 25127, + "Claim": 45699, + "Clar": 44157, + "Clark": 36243, + "Class": 21527, + "Classic": 44950, + "Cle": 39390, + "Clean": 40827, + "Clear": 18938, + "Clearly": 30770, + "Click": 22473, + "Client": 47952, + "Climate": 40466, + "Clinton": 36206, + "Clock": 45918, + "Close": 42841, + "Closure": 49090, + "Cloud": 14438, + "Club": 17875, + "Cmd": 49530, + "Co": 8739, + "Coach": 28343, + "Cod": 47436, + "Code": 41555, + "Coin": 17339, + "Col": 18551, + "Cola": 16791, + "Cold": 38191, + "Cole": 38050, + "Coll": 37967, + "Collect": 44252, + "Collection": 48426, + "College": 28165, + "Collins": 40380, + "Color": 44287, + "Colorado": 39557, + "Columb": 34809, + "Column": 47344, + "Com": 14721, + "Comb": 42606, + "Combat": 48170, + "Come": 22817, + "Coming": 31795, + "Comm": 33479, + "Command": 46785, + "Comment": 45331, + "Comments": 45834, + "Commerce": 31796, + "Commercial": 42851, + "Commission": 44503, + "Common": 40437, + "Commun": 38644, + "Community": 36242, + "Comp": 24699, + "Compan": 49028, + "Companies": 39182, + "Company": 21960, + "Compar": 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"Cooldown": 50042, + "Cop": 42989, + "Copy": 48233, + "Copyright": 19538, + "Cor": 15228, + "Core": 30786, + "Corn": 43078, + "Corp": 25313, + "Correct": 33567, + "Correction": 48349, + "Cos": 37294, + "Cost": 34985, + "Could": 35299, + "Coun": 45577, + "Council": 38625, + "Count": 23329, + "Counter": 44057, + "Country": 36735, + "Cour": 43309, + "Course": 47719, + "Court": 37349, + "Courtesy": 25611, + "Cover": 45158, + "Cow": 38563, + "Cr": 29792, + "Cra": 47137, + "Craft": 43477, + "Craig": 39230, + "Crash": 46856, + "Cre": 40008, + "Creat": 42349, + "Create": 44758, + "Created": 47859, + "Creating": 44308, + "Credit": 19263, + "Credits": 48072, + "Crew": 37974, + "Crime": 41514, + "Crit": 46517, + "Critical": 47239, + "Critics": 47312, + "Cro": 36537, + "Cross": 34385, + "Cru": 43073, + "Crunch": 32105, + "Cruz": 41747, + "Cry": 32208, + "Crypt": 44623, + "Crystal": 42904, + "Cs": 31229, + "Ct": 47413, + "Ctrl": 48719, + "Cu": 37454, + "Cub": 43655, + "Cube": 44406, + "Cur": 42090, 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"Danny": 36525, + "Dar": 30951, + "Dark": 35268, + "Dash": 43653, + "Dat": 43703, + "Data": 30383, + "Database": 49187, + "Date": 39525, + "Dave": 33857, + "David": 8773, + "Davis": 36787, + "Day": 10781, + "Days": 41077, + "Db": 42198, + "De": 13365, + "Dead": 33838, + "Deal": 43787, + "Dean": 42862, + "Dear": 23314, + "Death": 34811, + "Deb": 33402, + "Debug": 49714, + "Dec": 15953, + "December": 17704, + "Decl": 45788, + "Decre": 46136, + "Deep": 35166, + "Def": 17425, + "Default": 48398, + "Defense": 39049, + "Definition": 47926, + "Del": 21502, + "Delete": 46006, + "Delivery": 46583, + "DeliveryDate": 50215, + "Delta": 38816, + "Dem": 24658, + "Demand": 40050, + "Democratic": 38729, + "Democrats": 36345, + "Demon": 44542, + "Den": 27267, + "Denver": 42261, + "Dep": 29774, + "Department": 42961, + "Depending": 44402, + "Deploy": 48287, + "Depth": 45566, + "Depths": 49952, + "Der": 34788, + "Des": 28324, + "Desc": 47066, + "Description": 41602, + "Design": 34091, + "Desk": 43498, + 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