wiki_sh1_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.0189
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 |
|---|---|---|---|
| 7.3524 | 1.0 | 399 | 6.7968 |
| 6.563 | 2.0 | 798 | 6.5088 |
| 6.3591 | 3.0 | 1197 | 6.3721 |
| 6.2363 | 4.0 | 1596 | 6.2806 |
| 6.1395 | 5.0 | 1995 | 6.2137 |
| 6.0537 | 6.0 | 2394 | 6.1546 |
| 5.9739 | 7.0 | 2793 | 6.1077 |
| 5.8988 | 8.0 | 3192 | 6.0688 |
| 5.8274 | 9.0 | 3591 | 6.0405 |
| 5.7603 | 10.0 | 3990 | 6.0212 |
| 5.6962 | 11.0 | 4389 | 6.0040 |
| 5.636 | 12.0 | 4788 | 5.9978 |
| 5.5792 | 13.0 | 5187 | 5.9940 |
| 5.5268 | 14.0 | 5586 | 5.9937 |
| 5.4777 | 15.0 | 5985 | 5.9968 |
| 5.433 | 16.0 | 6384 | 6.0033 |
| 5.3945 | 17.0 | 6783 | 6.0066 |
| 5.3626 | 18.0 | 7182 | 6.0116 |
| 5.3378 | 19.0 | 7581 | 6.0162 |
| 5.3188 | 20.0 | 7980 | 6.0189 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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