Alpaca-Lora-Swe-7b is a LLaMA-7B model fine-tuned on the translated
Stanford Alpaca dataset to follow the 🇸🇪 Swedish instructions
This model was trained for 5 epoch with a combined dataset of english + swedish and the original Alpca-Lora prompt using the following command:
python3 finetune.py --base_model='./llama-7b' --output_dir='./lora-alpaca' --resume_from_checkpoint true --micro_batch_size=14 --num_epochs=3 --cutoff_len=512 --group_by_length --output_dir='./lora-alpaca-swe' --data_path='alpaca_gpt4_combined.json' --num_epochs 5 --lora_target_modules='[q_proj,k_proj,v_proj,o_proj]'
For more information, please visit the Github repo:
https://github.com/jeremycochoy/alpaca-lora-swe
