cds_w_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1754
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 |
|---|---|---|---|
| 4.585 | 1.0 | 496 | 3.5160 |
| 3.3235 | 2.0 | 992 | 3.3005 |
| 3.1692 | 3.0 | 1488 | 3.2236 |
| 3.0793 | 4.0 | 1984 | 3.1785 |
| 3.0144 | 5.0 | 2480 | 3.1462 |
| 2.9616 | 6.0 | 2976 | 3.1218 |
| 2.9137 | 7.0 | 3472 | 3.1084 |
| 2.8691 | 8.0 | 3968 | 3.0996 |
| 2.8269 | 9.0 | 4464 | 3.0946 |
| 2.7864 | 10.0 | 4960 | 3.0964 |
| 2.7482 | 11.0 | 5456 | 3.1013 |
| 2.7091 | 12.0 | 5952 | 3.1038 |
| 2.6712 | 13.0 | 6448 | 3.1147 |
| 2.637 | 14.0 | 6944 | 3.1215 |
| 2.6037 | 15.0 | 7440 | 3.1335 |
| 2.571 | 16.0 | 7936 | 3.1451 |
| 2.5432 | 17.0 | 8432 | 3.1547 |
| 2.5189 | 18.0 | 8928 | 3.1651 |
| 2.4994 | 19.0 | 9424 | 3.1719 |
| 2.4839 | 20.0 | 9920 | 3.1754 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0