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--- |
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library_name: peft |
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license: llama3.1 |
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base_model: meta-llama/Llama-3.1-8B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama3.1_8b_lawyer_finetuned |
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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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# llama3.1_8b_lawyer_finetuned |
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0646 |
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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: 6 |
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- eval_batch_size: 6 |
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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: 3 |
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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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| 0.1181 | 0.3794 | 500 | 0.1088 | |
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| 0.0884 | 0.7587 | 1000 | 0.0817 | |
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| 0.0792 | 1.1381 | 1500 | 0.0749 | |
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| 0.0739 | 1.5175 | 2000 | 0.0710 | |
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| 0.0705 | 1.8968 | 2500 | 0.0678 | |
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| 0.0623 | 2.2762 | 3000 | 0.0661 | |
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| 0.062 | 2.6555 | 3500 | 0.0646 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
