cds_w_51
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: 51
- 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 |
|---|---|---|---|
| 4.574 | 1.0 | 496 | 3.5286 |
| 3.3209 | 2.0 | 992 | 3.3015 |
| 3.1655 | 3.0 | 1488 | 3.2177 |
| 3.0761 | 4.0 | 1984 | 3.1726 |
| 3.0124 | 5.0 | 2480 | 3.1433 |
| 2.9592 | 6.0 | 2976 | 3.1222 |
| 2.9109 | 7.0 | 3472 | 3.1102 |
| 2.867 | 8.0 | 3968 | 3.0962 |
| 2.8251 | 9.0 | 4464 | 3.0938 |
| 2.7855 | 10.0 | 4960 | 3.0948 |
| 2.7462 | 11.0 | 5456 | 3.1005 |
| 2.7071 | 12.0 | 5952 | 3.1031 |
| 2.6702 | 13.0 | 6448 | 3.1128 |
| 2.6349 | 14.0 | 6944 | 3.1216 |
| 2.6023 | 15.0 | 7440 | 3.1334 |
| 2.5697 | 16.0 | 7936 | 3.1458 |
| 2.5416 | 17.0 | 8432 | 3.1540 |
| 2.517 | 18.0 | 8928 | 3.1647 |
| 2.4968 | 19.0 | 9424 | 3.1719 |
| 2.4816 | 20.0 | 9920 | 3.1754 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0