cds_sh1_67
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1648
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 |
|---|---|---|---|
| 4.902 | 1.0 | 495 | 3.9301 |
| 3.6496 | 2.0 | 990 | 3.5459 |
| 3.3759 | 3.0 | 1485 | 3.3782 |
| 3.2227 | 4.0 | 1980 | 3.2883 |
| 3.1161 | 5.0 | 2475 | 3.2250 |
| 3.0318 | 6.0 | 2970 | 3.1868 |
| 2.9616 | 7.0 | 3465 | 3.1535 |
| 2.9001 | 8.0 | 3960 | 3.1386 |
| 2.8433 | 9.0 | 4455 | 3.1241 |
| 2.7912 | 10.0 | 4950 | 3.1182 |
| 2.743 | 11.0 | 5445 | 3.1101 |
| 2.6958 | 12.0 | 5940 | 3.1115 |
| 2.6514 | 13.0 | 6435 | 3.1140 |
| 2.6104 | 14.0 | 6930 | 3.1269 |
| 2.5736 | 15.0 | 7425 | 3.1312 |
| 2.5413 | 16.0 | 7920 | 3.1396 |
| 2.5109 | 17.0 | 8415 | 3.1469 |
| 2.4858 | 18.0 | 8910 | 3.1568 |
| 2.4635 | 19.0 | 9405 | 3.1619 |
| 2.4463 | 20.0 | 9900 | 3.1648 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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