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--- |
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library_name: peft |
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base_model: jhflow/mistral7b-lora-multi-turn-v2 |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: 766c7ea0-98d0-4482-95ff-82761e3f6864 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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# 766c7ea0-98d0-4482-95ff-82761e3f6864 |
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This model is a fine-tuned version of [jhflow/mistral7b-lora-multi-turn-v2](https://huggingface.co/jhflow/mistral7b-lora-multi-turn-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5041 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
