candor_sh1_67
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6174
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 |
|---|---|---|---|
| 5.7892 | 1.0 | 422 | 4.8905 |
| 4.76 | 2.0 | 844 | 4.7399 |
| 4.654 | 3.0 | 1266 | 4.6677 |
| 4.5896 | 4.0 | 1688 | 4.6221 |
| 4.5425 | 5.0 | 2110 | 4.5925 |
| 4.5023 | 6.0 | 2532 | 4.5712 |
| 4.4655 | 7.0 | 2954 | 4.5559 |
| 4.4306 | 8.0 | 3376 | 4.5437 |
| 4.3961 | 9.0 | 3798 | 4.5388 |
| 4.3614 | 10.0 | 4220 | 4.5365 |
| 4.3258 | 11.0 | 4642 | 4.5365 |
| 4.2901 | 12.0 | 5064 | 4.5417 |
| 4.2536 | 13.0 | 5486 | 4.5483 |
| 4.218 | 14.0 | 5908 | 4.5579 |
| 4.1829 | 15.0 | 6330 | 4.5683 |
| 4.1497 | 16.0 | 6752 | 4.5812 |
| 4.1196 | 17.0 | 7174 | 4.5936 |
| 4.0927 | 18.0 | 7596 | 4.6039 |
| 4.0703 | 19.0 | 8018 | 4.6130 |
| 4.0537 | 20.0 | 8440 | 4.6174 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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