bnc_o_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3424
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: 42
- 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 |
|---|---|---|---|
| 6.8327 | 1.0 | 391 | 5.7466 |
| 5.3991 | 2.0 | 782 | 5.1792 |
| 5.0045 | 3.0 | 1173 | 4.9297 |
| 4.7803 | 4.0 | 1564 | 4.7701 |
| 4.6146 | 5.0 | 1955 | 4.6562 |
| 4.4803 | 6.0 | 2346 | 4.5692 |
| 4.365 | 7.0 | 2737 | 4.5022 |
| 4.2637 | 8.0 | 3128 | 4.4542 |
| 4.1723 | 9.0 | 3519 | 4.4141 |
| 4.0893 | 10.0 | 3910 | 4.3872 |
| 4.0154 | 11.0 | 4301 | 4.3674 |
| 3.9486 | 12.0 | 4692 | 4.3525 |
| 3.8887 | 13.0 | 5083 | 4.3449 |
| 3.8345 | 14.0 | 5474 | 4.3382 |
| 3.7859 | 15.0 | 5865 | 4.3362 |
| 3.7428 | 16.0 | 6256 | 4.3348 |
| 3.7047 | 17.0 | 6647 | 4.3370 |
| 3.6722 | 18.0 | 7038 | 4.3393 |
| 3.6451 | 19.0 | 7429 | 4.3410 |
| 3.6239 | 20.0 | 7820 | 4.3424 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0