results
This model is a fine-tuned version of unsloth/llama-3.2-1b-unsloth-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.2083
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 13.3929 | 1.0 | 43 | 7.2656 |
| 11.4271 | 2.0 | 86 | 7.2669 |
| 11.0609 | 3.0 | 129 | 7.3441 |
| 10.097 | 4.0 | 172 | 7.6927 |
| 8.2179 | 5.0 | 215 | 7.7197 |
| 7.1093 | 6.0 | 258 | 7.6223 |
| 6.3082 | 7.0 | 301 | 7.5638 |
| 5.8958 | 8.0 | 344 | 7.4709 |
| 5.7789 | 9.0 | 387 | 7.3977 |
| 5.5157 | 10.0 | 430 | 7.3469 |
| 5.3691 | 11.0 | 473 | 7.3023 |
| 5.4559 | 12.0 | 516 | 7.2700 |
| 5.3126 | 13.0 | 559 | 7.2285 |
| 5.2435 | 14.0 | 602 | 7.2138 |
| 5.3684 | 15.0 | 645 | 7.2083 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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