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README.md
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base_model: /
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tags:
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- generated_from_trainer
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datasets:
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- /mnt/cache/luzimu/rlhf_math/data/controled_steps_math_gsm8k_lce_dpo_ascend_lim2_lim3_add_dpo1x1
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model-index:
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- name: Mistral-7B-
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results: []
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---
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should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [/mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce](https://huggingface.co//mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce) on the /mnt/cache/luzimu/rlhf_math/data/controled_steps_math_gsm8k_lce_dpo_ascend_lim2_lim3_add_dpo1x1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1793
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- Rewards/chosen: 0.2587
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- Rewards/rejected: -7.0301
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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base_model: MathGenie/Mistral-7B-Ours-SFT
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tags:
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- math
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model-index:
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- name: Mistral-7B-Ours-SFT-SCDPO
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results: []
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license: apache-2.0
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: text-generation
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# Mistral-7B-Ours-SFT-SCDPO
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This model is a fine-tuned version of MathGenie/Mistral-7B-Ours-SFT.
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It achieves the following results on the evaluation set:
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- Loss: 0.1793
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- Rewards/chosen: 0.2587
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- Rewards/rejected: -7.0301
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## Model description
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This is a model fine-tuned for mathematical problem-solving.
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## Intended uses & limitations
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The model is intended for solving math problems.
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## Training and evaluation data
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## Training procedure
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eval.png
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