adl_o_fr_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8596
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 |
|---|---|---|---|
| 7.6799 | 1.0 | 117 | 6.5062 |
| 5.8927 | 2.0 | 234 | 5.5114 |
| 5.2809 | 3.0 | 351 | 5.0717 |
| 4.9132 | 4.0 | 468 | 4.7586 |
| 4.6357 | 5.0 | 585 | 4.5195 |
| 4.4116 | 6.0 | 702 | 4.3368 |
| 4.238 | 7.0 | 819 | 4.2046 |
| 4.1018 | 8.0 | 936 | 4.1093 |
| 3.9923 | 9.0 | 1053 | 4.0432 |
| 3.8977 | 10.0 | 1170 | 3.9879 |
| 3.816 | 11.0 | 1287 | 3.9501 |
| 3.744 | 12.0 | 1404 | 3.9191 |
| 3.6797 | 13.0 | 1521 | 3.8957 |
| 3.6209 | 14.0 | 1638 | 3.8795 |
| 3.5691 | 15.0 | 1755 | 3.8707 |
| 3.5224 | 16.0 | 1872 | 3.8642 |
| 3.4816 | 17.0 | 1989 | 3.8605 |
| 3.4462 | 18.0 | 2106 | 3.8593 |
| 3.4176 | 19.0 | 2223 | 3.8583 |
| 3.3975 | 20.0 | 2340 | 3.8596 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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