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--- |
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library_name: transformers |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-1B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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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 [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1652 |
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- Accuracy: 0.0431 |
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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: 3e-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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 8 |
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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 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 2.6185 | 0.9970 | 82 | 2.6059 | 0.0323 | |
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| 2.4398 | 1.9939 | 164 | 2.6266 | 0.0582 | |
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| 2.4161 | 2.9909 | 246 | 2.3381 | 0.0905 | |
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| 2.3511 | 4.0 | 329 | 2.2989 | 0.1013 | |
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| 2.2733 | 4.9970 | 411 | 2.2880 | 0.0323 | |
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| 2.3463 | 5.9939 | 493 | 2.1652 | 0.0431 | |
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| 2.253 | 6.9909 | 575 | 2.1971 | 0.0431 | |
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| 2.2243 | 7.9757 | 656 | 2.1854 | 0.1272 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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