candor_np_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4606
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 |
|---|---|---|---|
| 5.7404 | 1.0 | 422 | 4.7804 |
| 4.6303 | 2.0 | 844 | 4.5992 |
| 4.5079 | 3.0 | 1266 | 4.5215 |
| 4.4362 | 4.0 | 1688 | 4.4742 |
| 4.3824 | 5.0 | 2110 | 4.4432 |
| 4.3364 | 6.0 | 2532 | 4.4151 |
| 4.2947 | 7.0 | 2954 | 4.3961 |
| 4.2553 | 8.0 | 3376 | 4.3847 |
| 4.2166 | 9.0 | 3798 | 4.3793 |
| 4.1779 | 10.0 | 4220 | 4.3769 |
| 4.1392 | 11.0 | 4642 | 4.3781 |
| 4.1004 | 12.0 | 5064 | 4.3813 |
| 4.0613 | 13.0 | 5486 | 4.3906 |
| 4.0233 | 14.0 | 5908 | 4.4032 |
| 3.9868 | 15.0 | 6330 | 4.4124 |
| 3.9523 | 16.0 | 6752 | 4.4254 |
| 3.9204 | 17.0 | 7174 | 4.4358 |
| 3.8927 | 18.0 | 7596 | 4.4476 |
| 3.8706 | 19.0 | 8018 | 4.4548 |
| 3.8539 | 20.0 | 8440 | 4.4606 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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