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dal-bert-finetuned-medical-v3
This model is a fine-tuned version of sharif-dal/dal-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7144
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0146 | 1.0 | 398 | 1.8037 |
| 1.8739 | 2.0 | 796 | 1.7564 |
| 1.8234 | 3.0 | 1194 | 1.7405 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
