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README.md
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# Training:
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```
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# Training:
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## Dataset:
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- Jumtra/oasst1_ja
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- Jumtra/jglue_jsquads_with_input
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- Jumtra/dolly_oast_jglue_ja
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- Aruno/guanaco_jp
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- yahma/alpaca-cleaned
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- databricks/databricks-dolly-15k
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with about 750k entries, 2k entries used for evaluate process
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## Training setup
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I trained this model on an instance from **vast.ai**
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- 1 NVIDIA RTX 4090
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- 90 GB Storage
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- Time spend about 3 and a half days
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- use ```python export.py``` to merge weight
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- Training loss
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
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- Eval loss chart
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
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