library_name, tags, model-index
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cds_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: 2.9088
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 |
|---|---|---|---|
| 5.8188 | 1.0 | 145 | 4.1782 |
| 3.6451 | 2.0 | 290 | 3.4042 |
| 3.2742 | 3.0 | 435 | 3.1872 |
| 3.1065 | 4.0 | 580 | 3.0692 |
| 3.0059 | 5.0 | 725 | 3.0006 |
| 2.9407 | 6.0 | 870 | 2.9596 |
| 2.8903 | 7.0 | 1015 | 2.9294 |
| 2.8492 | 8.0 | 1160 | 2.9076 |
| 2.8124 | 9.0 | 1305 | 2.8944 |
| 2.7787 | 10.0 | 1450 | 2.8837 |
| 2.7466 | 11.0 | 1595 | 2.8761 |
| 2.7144 | 12.0 | 1740 | 2.8737 |
| 2.6832 | 13.0 | 1885 | 2.8720 |
| 2.6516 | 14.0 | 2030 | 2.8742 |
| 2.6203 | 15.0 | 2175 | 2.8789 |
| 2.5899 | 16.0 | 2320 | 2.8853 |
| 2.561 | 17.0 | 2465 | 2.8913 |
| 2.5336 | 18.0 | 2610 | 2.8993 |
| 2.5111 | 19.0 | 2755 | 2.9061 |
| 2.4944 | 20.0 | 2900 | 2.9088 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0