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README.md
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base_model: microsoft/Phi-3-mini-4k-instruct
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model-index:
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- name:
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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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/1bcp4hhg)
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#
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on
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It achieves the following results on the evaluation set:
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- Loss: 1.7651
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- generated_from_trainer
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base_model: microsoft/Phi-3-mini-4k-instruct
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model-index:
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- name: phi-3-mrqa
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results: []
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datasets:
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- enriquesaou/mrqa-squadded-sample
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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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/1bcp4hhg)
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# phi-3-mrqa
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on a MRQA sample.
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It achieves the following results on the evaluation set:
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- Loss: 1.7651
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