candor_sh1_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6175
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 |
|---|---|---|---|
| 5.7827 | 1.0 | 422 | 4.8887 |
| 4.7595 | 2.0 | 844 | 4.7392 |
| 4.6526 | 3.0 | 1266 | 4.6656 |
| 4.5881 | 4.0 | 1688 | 4.6246 |
| 4.5405 | 5.0 | 2110 | 4.5929 |
| 4.5001 | 6.0 | 2532 | 4.5712 |
| 4.4634 | 7.0 | 2954 | 4.5537 |
| 4.4282 | 8.0 | 3376 | 4.5442 |
| 4.3936 | 9.0 | 3798 | 4.5390 |
| 4.3585 | 10.0 | 4220 | 4.5338 |
| 4.3229 | 11.0 | 4642 | 4.5359 |
| 4.287 | 12.0 | 5064 | 4.5420 |
| 4.2504 | 13.0 | 5486 | 4.5478 |
| 4.2146 | 14.0 | 5908 | 4.5572 |
| 4.1795 | 15.0 | 6330 | 4.5699 |
| 4.1465 | 16.0 | 6752 | 4.5812 |
| 4.116 | 17.0 | 7174 | 4.5938 |
| 4.0892 | 18.0 | 7596 | 4.6037 |
| 4.0667 | 19.0 | 8018 | 4.6132 |
| 4.0504 | 20.0 | 8440 | 4.6175 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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