# 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