results
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: 2.1180
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6815 | 1.0 | 1641 | 2.7701 |
| 2.5815 | 2.0 | 3282 | 2.4848 |
| 2.2428 | 3.0 | 4923 | 2.2418 |
| 2.1742 | 4.0 | 6564 | 2.1479 |
| 1.9289 | 5.0 | 8205 | 2.1018 |
| 1.9889 | 6.0 | 9846 | 2.0961 |
| 1.9789 | 7.0 | 11487 | 2.1180 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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emilyalsentzer/Bio_ClinicalBERT