---
tags:
- generated_from_trainer
model-index:
- name: Chinese-Llama-2-LoRA-7B
  results: []
---
# Chinese-Llama-2-LoRA-7B

The LoRA version of Chinese-Llama-2 base on [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf).

The Github homepage is here:https://github.com/longyuewangdcu/Chinese-Llama-2/.
### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 1
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### How to Use

Download the lora model weight in your project path

python3 inference_lora.py --model-name-or-path <your_proj_path>/llama2-7b \
    --lora-weights <your_proj_path>/Chinese-Llama-2-LoRA-7B/adapter_model \
    -t 0.7 \
    -sa 'sample' \
    -i test/test_case.txt \
    -o test/test_case.general-task.txt



### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2