# **HW2**

## **Environment**
```
pip install -r requirements.txt
```

## **Download**
Download adapter checkpoints
```
bash ./download.sh
```

## **Fine tuning mT5 model**
```
python train.py --base_model_path jimboHsueh/save_hw3 \
    --peft_path ./PETH \
    --train_data_path train.json \
    --per_device_train_batch_size 2 \
    --gradient_accumulation_steps 8 \
    --test_data_path public_test.json \
    --output_dir HW3_4 \
    --push_to_hub
```
-**base_model_path**: Path to Taiwan_llama.

-**peft_path**: Path to peft model.

-**train_data_path**: Path to train.json.

-**test_data_path**: Path to test.json.

## **Generate prediction.json**
```
bash ./download.sh
bash ./run.sh python /path/to/Taiwan-LLaMa-folder /path/to/adapter_checkpoint \ 
/path/to/input.json /path/to/output.json
```