distilgpt2-medical
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8685
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: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 106 | 1.9726 |
| No log | 2.0 | 212 | 1.8889 |
| No log | 3.0 | 318 | 1.8729 |
| No log | 4.0 | 424 | 1.8685 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.1+cpu
- Datasets 5.0.0
- Tokenizers 0.22.2