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README.md
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tags:
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- generated_from_trainer
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model-index:
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- name: Orca-2-13B-Pygmalion
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results: []
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datasets:
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- PygmalionAI/PIPPA
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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# Orca-2-13B-Pygmalion
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This
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It achieves the following results on the evaluation set:
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- Loss: 1.9190
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tags:
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- generated_from_trainer
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model-index:
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- name: Orca-2-13B-Pygmalion-LoRA
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results: []
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datasets:
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- PygmalionAI/PIPPA
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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# Orca-2-13B-Pygmalion-LoRA
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This LoRA adapter is a fine-tuned version of [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b) on the [PygmalionAI/PIPPA](https://huggingface.co/datasets/PygmalionAI/PIPPA) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9190
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