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--- |
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license: apache-2.0 |
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base_model: meta-llama/Llama-2-7b-hf |
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datasets: |
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- GEM/viggo |
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language: |
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- en |
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pipeline_tag: text2text-generation |
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tags: |
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- punica |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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--- |
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* Base Model: [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) |
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* LoRA target: `q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj` |
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* LoRA rank: 16 |
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See <https://github.com/punica-ai/punica/tree/master/examples/finetune> |
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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: 32 |
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- eval_batch_size: 8 |
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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: 4.0 |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.2.0.dev20230911+cu121 |
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- Datasets 2.14.4 |
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- Tokenizers 0.14.1 |
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