transformers pytorch safetensors bert text-classification en dataset:pubmed autotrain_compatible endpoints_compatible region:us
---
datasets:
- pubmed
language:
- en
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: many pathogenic processes and diseases are the result of an erroneous activation
    of the complement cascade and a number of inhibitors of complement have thus been
    examined for anti-inflammatory actions.
  example_title: background example
- text: a total of 192 mi patients and 140 control persons were included.
  example_title: methods example
- text: mi patients had 18 % higher plasma levels of map44 (iqr 11-25 %) as compared
    to the healthy control group (p < 0. 001.)
  example_title: results example
- text: the finding that a brief cb group intervention delivered by real-world providers
    significantly reduced mdd onset relative to both brochure control and bibliotherapy
    is very encouraging, although effects on continuous outcome measures were small
    or nonsignificant and approximately half the magnitude of those found in efficacy
    research, potentially because the present sample reported lower initial depression.
  example_title: conclusions example
- text: in order to understand and update the prevalence of myopia in taiwan, a nationwide
    survey was performed in 1995.
  example_title: objective example
---

# bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section
- original model file name: textclassifer_bluebert_pubmed_uncased_L-12_H-768_A-12_pubmed_20k
- This is a fine-tuned checkpoint of `bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12` for document section text classification
- possible document section classes are:BACKGROUND, CONCLUSIONS, METHODS, OBJECTIVE, RESULTS, 

## metadata


### training_metrics

- val_accuracy:	0.8367536067962646

- val_matthewscorrcoef:	0.779039740562439

- val_f1score:	0.834040641784668

- val_cross_entropy:	0.5102494359016418

- epoch:	18.0

- train_accuracy_step:	0.7890625

- train_matthewscorrcoef_step:	0.7113237380981445

- train_f1score_step:	0.7884777784347534

- train_cross_entropy_step:	0.5615811944007874

- train_accuracy_epoch:	0.7955580949783325

- train_matthewscorrcoef_epoch:	0.7233519554138184

- train_f1score_epoch:	0.7916122078895569

- train_cross_entropy_epoch:	0.6050205230712891

- test_accuracy:	0.8310602307319641

- test_matthewscorrcoef:	0.7718994617462158

- test_f1score:	0.8283351063728333

- test_cross_entropy:	0.5230290293693542

- date_run:	Apr-22-2022_t-05

- huggingface_tag:	bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12
