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--- |
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library_name: transformers |
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license: other |
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base_model: NousResearch/Meta-Llama-3-8B-Instruct |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: sft |
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results: [] |
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datasets: |
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- clinno/iplaw20240808-json |
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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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# sft |
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This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the identity and the iplaw20240808 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0843 |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 9.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3784 | 0.8469 | 500 | 1.4012 | |
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| 1.1764 | 1.6938 | 1000 | 1.2227 | |
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| 0.9808 | 2.5408 | 1500 | 1.1500 | |
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| 0.9778 | 3.3877 | 2000 | 1.1205 | |
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| 0.8815 | 4.2346 | 2500 | 1.0940 | |
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| 0.8159 | 5.0815 | 3000 | 1.0748 | |
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| 0.8317 | 5.9284 | 3500 | 1.0829 | |
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| 0.7269 | 6.7754 | 4000 | 1.0812 | |
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| 0.7372 | 7.6223 | 4500 | 1.0817 | |
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| 0.7366 | 8.4692 | 5000 | 1.0842 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
