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biobert-v1.1_pub_section

  • original model file name: textclassifer_biobert-v1.1_pubmed_20k
  • This is a fine-tuned checkpoint of dmis-lab/biobert-v1.1 for document section text classification
  • possible document section classes are:BACKGROUND, CONCLUSIONS, METHODS, OBJECTIVE, RESULTS,

metadata

training_metrics

  • val_accuracy: 0.8522772192955017

  • val_matthewscorrcoef: 0.8009328246116638

  • val_f1score: 0.8517481088638306

  • val_cross_entropy: 0.4344026446342468

  • epoch: 12.0

  • train_accuracy_step: 0.8203125

  • train_matthewscorrcoef_step: 0.7453048229217529

  • train_f1score_step: 0.8245896100997925

  • train_cross_entropy_step: 0.480397492647171

  • train_accuracy_epoch: 0.8297363519668579

  • train_matthewscorrcoef_epoch: 0.7703952193260193

  • train_f1score_epoch: 0.8274592757225037

  • train_cross_entropy_epoch: 0.5001224875450134

  • test_accuracy: 0.8441678881645203

  • test_matthewscorrcoef: 0.7905130982398987

  • test_f1score: 0.8435087203979492

  • test_cross_entropy: 0.4557005763053894

  • date_run: Apr-22-2022_t-14

  • huggingface_tag: dmis-lab/biobert-v1.1

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Dataset used to train ml4pubmed/biobert-v1.1_pub_section