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README.md
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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環境：Google Colab notebooks
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試行コードファイル：LoRA_template_unsloth.20241127.ipynb
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ベースモデル：llm-jp/llm-jp-3-13b
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学習データセット：ichikara-instruction-003-001.1.json
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学習後新モデル名：llm-jp-3-13b-it
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模試問題データセット：elyza-tasks-100-TV_0.jsonl
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出力：llm-jp-3-13b-it_output.jsonl
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スコア：3.01
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