2.3 KiB
2.3 KiB
library_name, tags, model-index
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| transformers |
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bnc_np_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5656
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: 13
- 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 |
|---|---|---|---|
| 7.1094 | 1.0 | 392 | 6.3174 |
| 6.0963 | 2.0 | 784 | 6.0241 |
| 5.8833 | 3.0 | 1176 | 5.8841 |
| 5.7525 | 4.0 | 1568 | 5.7884 |
| 5.6482 | 5.0 | 1960 | 5.7186 |
| 5.5583 | 6.0 | 2352 | 5.6633 |
| 5.4779 | 7.0 | 2744 | 5.6206 |
| 5.4029 | 8.0 | 3136 | 5.5869 |
| 5.3324 | 9.0 | 3528 | 5.5624 |
| 5.2657 | 10.0 | 3920 | 5.5448 |
| 5.2018 | 11.0 | 4312 | 5.5366 |
| 5.1412 | 12.0 | 4704 | 5.5319 |
| 5.0841 | 13.0 | 5096 | 5.5317 |
| 5.0297 | 14.0 | 5488 | 5.5334 |
| 4.9798 | 15.0 | 5880 | 5.5384 |
| 4.9364 | 16.0 | 6272 | 5.5474 |
| 4.899 | 17.0 | 6664 | 5.5531 |
| 4.8676 | 18.0 | 7056 | 5.5596 |
| 4.8422 | 19.0 | 7448 | 5.5622 |
| 4.823 | 20.0 | 7840 | 5.5656 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0