wiki_sh1_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.0169
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 |
|---|---|---|---|
| 7.3315 | 1.0 | 399 | 6.7827 |
| 6.5649 | 2.0 | 798 | 6.5051 |
| 6.3596 | 3.0 | 1197 | 6.3747 |
| 6.2374 | 4.0 | 1596 | 6.2833 |
| 6.1394 | 5.0 | 1995 | 6.2151 |
| 6.0523 | 6.0 | 2394 | 6.1547 |
| 5.9717 | 7.0 | 2793 | 6.1051 |
| 5.8959 | 8.0 | 3192 | 6.0663 |
| 5.8244 | 9.0 | 3591 | 6.0372 |
| 5.7569 | 10.0 | 3990 | 6.0158 |
| 5.6931 | 11.0 | 4389 | 6.0062 |
| 5.6331 | 12.0 | 4788 | 5.9952 |
| 5.5764 | 13.0 | 5187 | 5.9912 |
| 5.5233 | 14.0 | 5586 | 5.9910 |
| 5.4747 | 15.0 | 5985 | 5.9950 |
| 5.4307 | 16.0 | 6384 | 6.0011 |
| 5.392 | 17.0 | 6783 | 6.0069 |
| 5.3601 | 18.0 | 7182 | 6.0111 |
| 5.3347 | 19.0 | 7581 | 6.0146 |
| 5.3164 | 20.0 | 7980 | 6.0169 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0