bnc_sh1_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9222
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 |
|---|---|---|---|
| 7.1796 | 1.0 | 392 | 6.4942 |
| 6.3038 | 2.0 | 784 | 6.2645 |
| 6.1364 | 3.0 | 1176 | 6.1564 |
| 6.0346 | 4.0 | 1568 | 6.0855 |
| 5.9541 | 5.0 | 1960 | 6.0336 |
| 5.8851 | 6.0 | 2352 | 5.9883 |
| 5.8221 | 7.0 | 2744 | 5.9557 |
| 5.762 | 8.0 | 3136 | 5.9294 |
| 5.7039 | 9.0 | 3528 | 5.9094 |
| 5.6469 | 10.0 | 3920 | 5.8968 |
| 5.5915 | 11.0 | 4312 | 5.8891 |
| 5.5371 | 12.0 | 4704 | 5.8844 |
| 5.4849 | 13.0 | 5096 | 5.8834 |
| 5.4357 | 14.0 | 5488 | 5.8890 |
| 5.3896 | 15.0 | 5880 | 5.8947 |
| 5.3467 | 16.0 | 6272 | 5.9017 |
| 5.3092 | 17.0 | 6664 | 5.9073 |
| 5.2778 | 18.0 | 7056 | 5.9136 |
| 5.2529 | 19.0 | 7448 | 5.9195 |
| 5.2343 | 20.0 | 7840 | 5.9222 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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