bnc_np_67
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5639
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: 67
- 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 |
|---|---|---|---|
| 7.1115 | 1.0 | 392 | 6.3201 |
| 6.0991 | 2.0 | 784 | 6.0233 |
| 5.8853 | 3.0 | 1176 | 5.8869 |
| 5.7529 | 4.0 | 1568 | 5.7900 |
| 5.6487 | 5.0 | 1960 | 5.7186 |
| 5.5587 | 6.0 | 2352 | 5.6655 |
| 5.4778 | 7.0 | 2744 | 5.6204 |
| 5.4021 | 8.0 | 3136 | 5.5855 |
| 5.3312 | 9.0 | 3528 | 5.5616 |
| 5.2637 | 10.0 | 3920 | 5.5482 |
| 5.1992 | 11.0 | 4312 | 5.5355 |
| 5.1385 | 12.0 | 4704 | 5.5301 |
| 5.0809 | 13.0 | 5096 | 5.5292 |
| 5.0261 | 14.0 | 5488 | 5.5342 |
| 4.9765 | 15.0 | 5880 | 5.5376 |
| 4.933 | 16.0 | 6272 | 5.5430 |
| 4.8957 | 17.0 | 6664 | 5.5500 |
| 4.8639 | 18.0 | 7056 | 5.5550 |
| 4.8385 | 19.0 | 7448 | 5.5614 |
| 4.8195 | 20.0 | 7840 | 5.5639 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0