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README.md
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- Training Duration: 46 minutes
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## Performance
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## .jsonl File Output Usage
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To generate the output file in Google Colaboratory, use the following script:
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adapter_id = "umizkimt/llm-jp-3-13b-it_lora"
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# Hugging Face Token を指定。
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HF_TOKEN = "<
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# unslothのFastLanguageModelで元のモデルをロード。
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dtype = None # Noneにしておけば自動で設定
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- Training Duration: 46 minutes
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## Performance
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|Metric|Base Model|Fine-Tuned Model|
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|---|---|---|
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|Score (Gemini 1.5)|2.21|3.01|
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|Inference Time (100 examples)|38 minutes|9 minutes|
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- Score Type: Provisional score using Gemini 1.5 (for competition purposes)
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- Evaluation Dataset: elyza-tasks-100-TV_0.jsonl
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- Platform: Google Colaboratory (T4 GPU)
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## .jsonl File Output Usage
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To generate the output file in Google Colaboratory, use the following script:
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adapter_id = "umizkimt/llm-jp-3-13b-it_lora"
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# Hugging Face Token を指定。
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HF_TOKEN = "<YOUR_HF_TOKEN>"
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# unslothのFastLanguageModelで元のモデルをロード。
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dtype = None # Noneにしておけば自動で設定
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