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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: stbl_clinical_bert_ft_rs8
    results: []

stbl_clinical_bert_ft_rs8

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1016
  • F1: 0.9189

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss F1
0.283 1.0 101 0.1003 0.8531
0.0682 2.0 202 0.0709 0.8999
0.0293 3.0 303 0.0782 0.9149
0.0172 4.0 404 0.0731 0.9160
0.0089 5.0 505 0.0827 0.9142
0.0056 6.0 606 0.0878 0.9199
0.0033 7.0 707 0.0953 0.9193
0.0024 8.0 808 0.0961 0.9200
0.0021 9.0 909 0.0947 0.9209
0.0018 10.0 1010 0.0980 0.9195
0.0011 11.0 1111 0.1013 0.9178
0.0011 12.0 1212 0.1016 0.9189

Framework versions

  • Transformers 4.22.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1