bnc_o_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3422
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 51
- optimizer: Use adamw_torch_fused 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.8232 | 1.0 | 391 | 5.7629 |
| 5.406 | 2.0 | 782 | 5.1875 |
| 5.0087 | 3.0 | 1173 | 4.9331 |
| 4.7829 | 4.0 | 1564 | 4.7714 |
| 4.6167 | 5.0 | 1955 | 4.6582 |
| 4.4815 | 6.0 | 2346 | 4.5697 |
| 4.3666 | 7.0 | 2737 | 4.5037 |
| 4.2653 | 8.0 | 3128 | 4.4528 |
| 4.1745 | 9.0 | 3519 | 4.4176 |
| 4.0912 | 10.0 | 3910 | 4.3873 |
| 4.017 | 11.0 | 4301 | 4.3680 |
| 3.9506 | 12.0 | 4692 | 4.3506 |
| 3.8905 | 13.0 | 5083 | 4.3434 |
| 3.8364 | 14.0 | 5474 | 4.3391 |
| 3.7881 | 15.0 | 5865 | 4.3391 |
| 3.745 | 16.0 | 6256 | 4.3355 |
| 3.707 | 17.0 | 6647 | 4.3384 |
| 3.6743 | 18.0 | 7038 | 4.3387 |
| 3.6471 | 19.0 | 7429 | 4.3408 |
| 3.6266 | 20.0 | 7820 | 4.3422 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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