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# BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext_pub_section
- original model file name: textclassifer_BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext_pubmed_20k
- This is a fine-tuned checkpoint of `microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext` for document section text classification
- possible document section classes are:BACKGROUND, CONCLUSIONS, METHODS, OBJECTIVE, RESULTS,
## metadata
### training_metrics
- val_accuracy: 0.8678670525550842
- val_matthewscorrcoef: 0.8222037553787231
- val_f1score: 0.866841197013855
- val_cross_entropy: 0.3674609065055847
- epoch: 8.0
- train_accuracy_step: 0.83984375
- train_matthewscorrcoef_step: 0.7790813446044922
- train_f1score_step: 0.837363600730896
- train_cross_entropy_step: 0.39843088388442993
- train_accuracy_epoch: 0.8538406491279602
- train_matthewscorrcoef_epoch: 0.8031334280967712
- train_f1score_epoch: 0.8521654605865479
- train_cross_entropy_epoch: 0.4116102457046509
- test_accuracy: 0.8578397035598755
- test_matthewscorrcoef: 0.8091378808021545
- test_f1score: 0.8566917181015015
- test_cross_entropy: 0.3963385224342346
- date_run: Apr-22-2022_t-19
- huggingface_tag: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
### training_parameters
- val_accuracy: 0.8678670525550842
- val_matthewscorrcoef: 0.8222037553787231
- val_f1score: 0.866841197013855
- val_cross_entropy: 0.3674609065055847
- epoch: 8.0
- train_accuracy_step: 0.83984375
- train_matthewscorrcoef_step: 0.7790813446044922
- train_f1score_step: 0.837363600730896
- train_cross_entropy_step: 0.39843088388442993
- train_accuracy_epoch: 0.8538406491279602
- train_matthewscorrcoef_epoch: 0.8031334280967712
- train_f1score_epoch: 0.8521654605865479
- train_cross_entropy_epoch: 0.4116102457046509
- test_accuracy: 0.8578397035598755
- test_matthewscorrcoef: 0.8091378808021545
- test_f1score: 0.8566917181015015
- test_cross_entropy: 0.3963385224342346
- date_run: Apr-22-2022_t-19
- huggingface_tag: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
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