wiki_o_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3683
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: 30
- 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 |
|---|---|---|---|
| 6.9714 | 1.0 | 399 | 5.9843 |
| 5.6132 | 2.0 | 798 | 5.3491 |
| 5.159 | 3.0 | 1197 | 5.0553 |
| 4.8974 | 4.0 | 1596 | 4.8676 |
| 4.7058 | 5.0 | 1995 | 4.7338 |
| 4.5523 | 6.0 | 2394 | 4.6314 |
| 4.4235 | 7.0 | 2793 | 4.5561 |
| 4.3123 | 8.0 | 3192 | 4.5001 |
| 4.2136 | 9.0 | 3591 | 4.4575 |
| 4.127 | 10.0 | 3990 | 4.4262 |
| 4.0503 | 11.0 | 4389 | 4.4051 |
| 3.9816 | 12.0 | 4788 | 4.3878 |
| 3.92 | 13.0 | 5187 | 4.3770 |
| 3.8651 | 14.0 | 5586 | 4.3691 |
| 3.8158 | 15.0 | 5985 | 4.3645 |
| 3.7721 | 16.0 | 6384 | 4.3642 |
| 3.7336 | 17.0 | 6783 | 4.3644 |
| 3.7006 | 18.0 | 7182 | 4.3670 |
| 3.6733 | 19.0 | 7581 | 4.3664 |
| 3.6526 | 20.0 | 7980 | 4.3683 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0