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--- |
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library_name: peft |
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base_model: unsloth/llama-3.2-1b-unsloth-bnb-4bit |
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tags: |
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- unsloth |
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- generated_from_trainer |
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model-index: |
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- name: results |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# results |
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This model is a fine-tuned version of [unsloth/llama-3.2-1b-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-1b-unsloth-bnb-4bit) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.2083 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 13.3929 | 1.0 | 43 | 7.2656 | |
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| 11.4271 | 2.0 | 86 | 7.2669 | |
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| 11.0609 | 3.0 | 129 | 7.3441 | |
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| 10.097 | 4.0 | 172 | 7.6927 | |
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| 8.2179 | 5.0 | 215 | 7.7197 | |
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| 7.1093 | 6.0 | 258 | 7.6223 | |
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| 6.3082 | 7.0 | 301 | 7.5638 | |
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| 5.8958 | 8.0 | 344 | 7.4709 | |
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| 5.7789 | 9.0 | 387 | 7.3977 | |
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| 5.5157 | 10.0 | 430 | 7.3469 | |
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| 5.3691 | 11.0 | 473 | 7.3023 | |
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| 5.4559 | 12.0 | 516 | 7.2700 | |
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| 5.3126 | 13.0 | 559 | 7.2285 | |
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| 5.2435 | 14.0 | 602 | 7.2138 | |
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| 5.3684 | 15.0 | 645 | 7.2083 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
