wiki_np_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5838
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 |
|---|---|---|---|
| 7.2424 | 1.0 | 399 | 6.5576 |
| 6.3077 | 2.0 | 798 | 6.2046 |
| 6.0417 | 3.0 | 1197 | 6.0212 |
| 5.8739 | 4.0 | 1596 | 5.8985 |
| 5.7396 | 5.0 | 1995 | 5.8024 |
| 5.6246 | 6.0 | 2394 | 5.7299 |
| 5.5237 | 7.0 | 2793 | 5.6745 |
| 5.4334 | 8.0 | 3192 | 5.6344 |
| 5.3507 | 9.0 | 3591 | 5.6017 |
| 5.2753 | 10.0 | 3990 | 5.5833 |
| 5.2045 | 11.0 | 4389 | 5.5693 |
| 5.1388 | 12.0 | 4788 | 5.5617 |
| 5.076 | 13.0 | 5187 | 5.5585 |
| 5.0198 | 14.0 | 5586 | 5.5580 |
| 4.9702 | 15.0 | 5985 | 5.5628 |
| 4.9266 | 16.0 | 6384 | 5.5679 |
| 4.889 | 17.0 | 6783 | 5.5727 |
| 4.857 | 18.0 | 7182 | 5.5785 |
| 4.8309 | 19.0 | 7581 | 5.5812 |
| 4.8111 | 20.0 | 7980 | 5.5838 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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