candor_w_67
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9715
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 |
|---|---|---|---|
| 5.3961 | 1.0 | 423 | 4.2855 |
| 4.057 | 2.0 | 846 | 4.0713 |
| 3.9203 | 3.0 | 1269 | 3.9938 |
| 3.851 | 4.0 | 1692 | 3.9567 |
| 3.7994 | 5.0 | 2115 | 3.9303 |
| 3.7557 | 6.0 | 2538 | 3.9124 |
| 3.7154 | 7.0 | 2961 | 3.8991 |
| 3.6772 | 8.0 | 3384 | 3.8901 |
| 3.6397 | 9.0 | 3807 | 3.8866 |
| 3.603 | 10.0 | 4230 | 3.8856 |
| 3.5654 | 11.0 | 4653 | 3.8903 |
| 3.5284 | 12.0 | 5076 | 3.8970 |
| 3.4918 | 13.0 | 5499 | 3.9054 |
| 3.4563 | 14.0 | 5922 | 3.9154 |
| 3.4223 | 15.0 | 6345 | 3.9260 |
| 3.3902 | 16.0 | 6768 | 3.9376 |
| 3.3597 | 17.0 | 7191 | 3.9489 |
| 3.3339 | 18.0 | 7614 | 3.9591 |
| 3.3129 | 19.0 | 8037 | 3.9681 |
| 3.2973 | 20.0 | 8460 | 3.9715 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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