wiki_o_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3671
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: 51
- 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 |
|---|---|---|---|
| 6.9819 | 1.0 | 399 | 5.9839 |
| 5.6158 | 2.0 | 798 | 5.3552 |
| 5.164 | 3.0 | 1197 | 5.0618 |
| 4.902 | 4.0 | 1596 | 4.8701 |
| 4.7103 | 5.0 | 1995 | 4.7380 |
| 4.5566 | 6.0 | 2394 | 4.6373 |
| 4.4277 | 7.0 | 2793 | 4.5609 |
| 4.3162 | 8.0 | 3192 | 4.5039 |
| 4.2176 | 9.0 | 3591 | 4.4623 |
| 4.1306 | 10.0 | 3990 | 4.4268 |
| 4.0536 | 11.0 | 4389 | 4.4057 |
| 3.9853 | 12.0 | 4788 | 4.3880 |
| 3.9239 | 13.0 | 5187 | 4.3786 |
| 3.8689 | 14.0 | 5586 | 4.3702 |
| 3.8194 | 15.0 | 5985 | 4.3663 |
| 3.7756 | 16.0 | 6384 | 4.3651 |
| 3.7371 | 17.0 | 6783 | 4.3632 |
| 3.7042 | 18.0 | 7182 | 4.3638 |
| 3.677 | 19.0 | 7581 | 4.3666 |
| 3.6565 | 20.0 | 7980 | 4.3671 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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