wiki_o_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3643
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 |
|---|---|---|---|
| 6.9861 | 1.0 | 399 | 5.9906 |
| 5.6179 | 2.0 | 798 | 5.3581 |
| 5.1628 | 3.0 | 1197 | 5.0551 |
| 4.8999 | 4.0 | 1596 | 4.8687 |
| 4.7084 | 5.0 | 1995 | 4.7353 |
| 4.5544 | 6.0 | 2394 | 4.6333 |
| 4.4263 | 7.0 | 2793 | 4.5555 |
| 4.3146 | 8.0 | 3192 | 4.5013 |
| 4.2164 | 9.0 | 3591 | 4.4576 |
| 4.1293 | 10.0 | 3990 | 4.4263 |
| 4.0526 | 11.0 | 4389 | 4.4016 |
| 3.984 | 12.0 | 4788 | 4.3847 |
| 3.9223 | 13.0 | 5187 | 4.3757 |
| 3.8673 | 14.0 | 5586 | 4.3689 |
| 3.8178 | 15.0 | 5985 | 4.3628 |
| 3.7739 | 16.0 | 6384 | 4.3614 |
| 3.7355 | 17.0 | 6783 | 4.3612 |
| 3.7027 | 18.0 | 7182 | 4.3624 |
| 3.6755 | 19.0 | 7581 | 4.3630 |
| 3.6545 | 20.0 | 7980 | 4.3643 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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