candor_w_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9698
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: 42
- 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 |
|---|---|---|---|
| 5.4025 | 1.0 | 423 | 4.2864 |
| 4.058 | 2.0 | 846 | 4.0679 |
| 3.9222 | 3.0 | 1269 | 3.9984 |
| 3.852 | 4.0 | 1692 | 3.9586 |
| 3.8002 | 5.0 | 2115 | 3.9303 |
| 3.7563 | 6.0 | 2538 | 3.9105 |
| 3.7161 | 7.0 | 2961 | 3.8974 |
| 3.6779 | 8.0 | 3384 | 3.8908 |
| 3.6406 | 9.0 | 3807 | 3.8876 |
| 3.6034 | 10.0 | 4230 | 3.8867 |
| 3.5663 | 11.0 | 4653 | 3.8894 |
| 3.5294 | 12.0 | 5076 | 3.8958 |
| 3.4927 | 13.0 | 5499 | 3.9059 |
| 3.457 | 14.0 | 5922 | 3.9166 |
| 3.4227 | 15.0 | 6345 | 3.9260 |
| 3.3906 | 16.0 | 6768 | 3.9362 |
| 3.3603 | 17.0 | 7191 | 3.9483 |
| 3.3347 | 18.0 | 7614 | 3.9572 |
| 3.3139 | 19.0 | 8037 | 3.9659 |
| 3.2982 | 20.0 | 8460 | 3.9698 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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