stbl_clinical_bert_ft_rs4
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: 0.1088
- F1: 0.9076
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 |
|---|---|---|---|---|
| 0.2994 | 1.0 | 101 | 0.0977 | 0.8416 |
| 0.0639 | 2.0 | 202 | 0.0846 | 0.8689 |
| 0.0318 | 3.0 | 303 | 0.0781 | 0.8879 |
| 0.0173 | 4.0 | 404 | 0.0770 | 0.8934 |
| 0.0099 | 5.0 | 505 | 0.0905 | 0.9021 |
| 0.005 | 6.0 | 606 | 0.0963 | 0.9020 |
| 0.0031 | 7.0 | 707 | 0.1024 | 0.9095 |
| 0.002 | 8.0 | 808 | 0.1063 | 0.9057 |
| 0.0017 | 9.0 | 909 | 0.1072 | 0.9076 |
| 0.0014 | 10.0 | 1010 | 0.1103 | 0.9089 |
| 0.0013 | 11.0 | 1111 | 0.1093 | 0.9087 |
| 0.0008 | 12.0 | 1212 | 0.1088 | 0.9076 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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