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--- |
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license: other |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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datasets: |
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- generator |
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model-index: |
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- name: Llama-3-8B-sft-lora-food-nutrition-10-epoch |
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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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# Llama-3-8B-sft-lora-food-nutrition-10-epoch |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3265 |
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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: 2e-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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3207 | 1.0 | 2207 | 0.3432 | |
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| 0.3222 | 2.0 | 4414 | 0.3339 | |
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| 0.3442 | 3.0 | 6621 | 0.3298 | |
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| 0.3389 | 4.0 | 8828 | 0.3282 | |
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| 0.3293 | 5.0 | 11035 | 0.3271 | |
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| 0.3376 | 6.0 | 13242 | 0.3267 | |
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| 0.3543 | 7.0 | 15449 | 0.3266 | |
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| 0.3077 | 8.0 | 17656 | 0.3265 | |
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| 0.2973 | 9.0 | 19863 | 0.3266 | |
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| 0.3028 | 10.0 | 22070 | 0.3265 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
