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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Chinese-Llama-2-LoRA-7B |
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results: [] |
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--- |
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# Chinese-Llama-2-LoRA-7B |
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The LoRA version of Chinese-Llama-2 base on [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf). |
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The Github homepage is here:https://github.com/longyuewangdcu/Chinese-Llama-2/. |
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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: 2 |
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- eval_batch_size: 1 |
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- seed: 1 |
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- distributed_type: multi-GPU |
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- num_devices: 16 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 16 |
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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: 0.03 |
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- num_epochs: 3.0 |
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### How to Use |
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Download the lora model weight in your project path |
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python3 inference_lora.py --model-name-or-path <your_proj_path>/llama2-7b \ |
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--lora-weights <your_proj_path>/Chinese-Llama-2-LoRA-7B/adapter_model \ |
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-t 0.7 \ |
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-sa 'sample' \ |
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-i test/test_case.txt \ |
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-o test/test_case.general-task.txt |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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