stbl_clinical_bert_ft_rs3
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: 0.0833
- F1: 0.9279
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 |
---|---|---|---|---|
0.2731 | 1.0 | 101 | 0.1011 | 0.8363 |
0.0651 | 2.0 | 202 | 0.0683 | 0.8909 |
0.0314 | 3.0 | 303 | 0.0623 | 0.9063 |
0.0155 | 4.0 | 404 | 0.0705 | 0.9067 |
0.0098 | 5.0 | 505 | 0.0702 | 0.9176 |
0.006 | 6.0 | 606 | 0.0755 | 0.9213 |
0.0037 | 7.0 | 707 | 0.0797 | 0.9216 |
0.0031 | 8.0 | 808 | 0.0783 | 0.9252 |
0.0018 | 9.0 | 909 | 0.0818 | 0.9259 |
0.0014 | 10.0 | 1010 | 0.0809 | 0.9271 |
0.0011 | 11.0 | 1111 | 0.0833 | 0.9259 |
0.0009 | 12.0 | 1212 | 0.0833 | 0.9279 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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