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--- |
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datasets: |
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- jeremyc/Alpaca-Lora-GPT4-Swedish |
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language: |
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- en |
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- sv |
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--- |
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## Alpaca-Lora-Swe 7B |
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Alpaca-Lora-Swe-7b is a LLaMA-7B model fine-tuned on the translated [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset to follow the 🇸🇪 Swedish instructions |
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This model was trained for 5 epoch with a combined dataset of english + swedish and the original Alpca-Lora prompt using the following command: |
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``` |
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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]' |
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``` |
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The training run logs are available at https://wandb.ai/jeremy-cochoy/huggingface/runs/896ntg42 |
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For more information, please visit the Github repo: https://github.com/jeremycochoy/alpaca-lora-swe |
