# 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:	0.8724678754806519

- val_matthewscorrcoef:	0.8290084004402161

- val_f1score:	0.8707401752471924

- val_cross_entropy:	0.3521413803100586

- epoch:	4.0

- train_accuracy_step:	0.6875

- train_matthewscorrcoef_step:	0.5752688050270081

- train_f1score_step:	0.6875

- train_cross_entropy_step:	0.9718704223632812

- train_accuracy_epoch:	0.8582640886306763

- train_matthewscorrcoef_epoch:	0.8091862797737122

- train_f1score_epoch:	0.8565496206283569

- train_cross_entropy_epoch:	0.39623069763183594

- test_accuracy:	0.863082766532898

- test_matthewscorrcoef:	0.816676676273346

- test_f1score:	0.8613550662994385

- test_cross_entropy:	0.3769755959510803

- date_run:	Apr-21-2022_t-02

- huggingface_tag:	microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext

### training_parameters

- val_accuracy:	0.8724678754806519

- val_matthewscorrcoef:	0.8290084004402161

- val_f1score:	0.8707401752471924

- val_cross_entropy:	0.3521413803100586

- epoch:	4.0

- train_accuracy_step:	0.6875

- train_matthewscorrcoef_step:	0.5752688050270081

- train_f1score_step:	0.6875

- train_cross_entropy_step:	0.9718704223632812

- train_accuracy_epoch:	0.8582640886306763

- train_matthewscorrcoef_epoch:	0.8091862797737122

- train_f1score_epoch:	0.8565496206283569

- train_cross_entropy_epoch:	0.39623069763183594

- test_accuracy:	0.863082766532898

- test_matthewscorrcoef:	0.816676676273346

- test_f1score:	0.8613550662994385

- test_cross_entropy:	0.3769755959510803

- date_run:	Apr-21-2022_t-02

- huggingface_tag:	microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext