model_med_195_E
This model is a fine-tuned version of kumarme072/med_model_1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3613
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1689 | 1.0 | 109 | 4.8744 |
| 4.9643 | 2.0 | 218 | 4.8066 |
| 4.9906 | 3.0 | 327 | 4.7453 |
| 4.8863 | 4.0 | 436 | 4.6879 |
| 4.9099 | 5.0 | 545 | 4.6287 |
| 4.8006 | 6.0 | 654 | 4.5485 |
| 4.6872 | 7.0 | 763 | 4.4754 |
| 4.6197 | 8.0 | 872 | 4.4153 |
| 4.6041 | 9.0 | 981 | 4.3753 |
| 4.5845 | 10.0 | 1090 | 4.3613 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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