cds_w_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1756
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: 30
- 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 |
|---|---|---|---|
| 4.588 | 1.0 | 496 | 3.5284 |
| 3.3226 | 2.0 | 992 | 3.3046 |
| 3.1682 | 3.0 | 1488 | 3.2201 |
| 3.0809 | 4.0 | 1984 | 3.1739 |
| 3.0157 | 5.0 | 2480 | 3.1432 |
| 2.9617 | 6.0 | 2976 | 3.1231 |
| 2.9134 | 7.0 | 3472 | 3.1108 |
| 2.8706 | 8.0 | 3968 | 3.1021 |
| 2.828 | 9.0 | 4464 | 3.0960 |
| 2.7883 | 10.0 | 4960 | 3.0958 |
| 2.7484 | 11.0 | 5456 | 3.0989 |
| 2.7102 | 12.0 | 5952 | 3.1046 |
| 2.6743 | 13.0 | 6448 | 3.1135 |
| 2.6381 | 14.0 | 6944 | 3.1234 |
| 2.6059 | 15.0 | 7440 | 3.1337 |
| 2.5728 | 16.0 | 7936 | 3.1445 |
| 2.5441 | 17.0 | 8432 | 3.1567 |
| 2.5208 | 18.0 | 8928 | 3.1650 |
| 2.5005 | 19.0 | 9424 | 3.1699 |
| 2.4848 | 20.0 | 9920 | 3.1756 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0