wiki_np_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5829
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 |
|---|---|---|---|
| 7.2649 | 1.0 | 399 | 6.5555 |
| 6.3042 | 2.0 | 798 | 6.1980 |
| 6.0384 | 3.0 | 1197 | 6.0187 |
| 5.8715 | 4.0 | 1596 | 5.8940 |
| 5.7374 | 5.0 | 1995 | 5.8007 |
| 5.6224 | 6.0 | 2394 | 5.7275 |
| 5.5213 | 7.0 | 2793 | 5.6709 |
| 5.4308 | 8.0 | 3192 | 5.6304 |
| 5.3485 | 9.0 | 3591 | 5.6014 |
| 5.2725 | 10.0 | 3990 | 5.5802 |
| 5.2018 | 11.0 | 4389 | 5.5682 |
| 5.1362 | 12.0 | 4788 | 5.5614 |
| 5.0739 | 13.0 | 5187 | 5.5564 |
| 5.0174 | 14.0 | 5586 | 5.5584 |
| 4.9679 | 15.0 | 5985 | 5.5618 |
| 4.9239 | 16.0 | 6384 | 5.5664 |
| 4.8867 | 17.0 | 6783 | 5.5708 |
| 4.8547 | 18.0 | 7182 | 5.5765 |
| 4.8286 | 19.0 | 7581 | 5.5805 |
| 4.8091 | 20.0 | 7980 | 5.5829 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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