symptom-check-april-4
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7701
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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6832 | 1.0 | 760 | 1.0709 |
| 1.0634 | 2.0 | 1520 | 0.9318 |
| 0.9903 | 3.0 | 2280 | 0.8711 |
| 0.9194 | 4.0 | 3040 | 0.8364 |
| 0.8973 | 5.0 | 3800 | 0.8148 |
| 0.8668 | 6.0 | 4560 | 0.8001 |
| 0.8552 | 7.0 | 5320 | 0.7892 |
| 0.8389 | 8.0 | 6080 | 0.7811 |
| 0.8333 | 9.0 | 6840 | 0.7770 |
| 0.8251 | 10.0 | 7600 | 0.7728 |
| 0.8233 | 11.0 | 8360 | 0.7711 |
| 0.8177 | 12.0 | 9120 | 0.7701 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
distilbert/distilgpt2