wiki_o_67
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3688
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: 67
- 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 |
|---|---|---|---|
| 6.9863 | 1.0 | 399 | 5.9816 |
| 5.6184 | 2.0 | 798 | 5.3611 |
| 5.168 | 3.0 | 1197 | 5.0639 |
| 4.9038 | 4.0 | 1596 | 4.8716 |
| 4.7112 | 5.0 | 1995 | 4.7365 |
| 4.5567 | 6.0 | 2394 | 4.6368 |
| 4.4271 | 7.0 | 2793 | 4.5616 |
| 4.3154 | 8.0 | 3192 | 4.5030 |
| 4.2166 | 9.0 | 3591 | 4.4596 |
| 4.1296 | 10.0 | 3990 | 4.4295 |
| 4.0523 | 11.0 | 4389 | 4.4067 |
| 3.9838 | 12.0 | 4788 | 4.3896 |
| 3.9219 | 13.0 | 5187 | 4.3781 |
| 3.8667 | 14.0 | 5586 | 4.3692 |
| 3.8168 | 15.0 | 5985 | 4.3677 |
| 3.7728 | 16.0 | 6384 | 4.3674 |
| 3.7344 | 17.0 | 6783 | 4.3653 |
| 3.7016 | 18.0 | 7182 | 4.3660 |
| 3.6741 | 19.0 | 7581 | 4.3677 |
| 3.6531 | 20.0 | 7980 | 4.3688 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
- Downloads last month
- 1