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add models

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  1. README.md +4 -2
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  ---
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  base_model: JunxiongWang/mamba_0_5_sft
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  tags:
 
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  - alignment-handbook
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  - generated_from_trainer
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  datasets:
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  - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
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  - name: mamba_0_5_dpo_ep3
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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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  # mamba_0_5_dpo_ep3
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- This model is a fine-tuned version of [JunxiongWang/mamba_0_5_sft](https://huggingface.co/JunxiongWang/mamba_0_5_sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7141
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  - Rewards/chosen: -5.3346
 
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  ---
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  base_model: JunxiongWang/mamba_0_5_sft
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  tags:
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+ - mamba
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  - alignment-handbook
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  - generated_from_trainer
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  datasets:
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  - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
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  - name: mamba_0_5_dpo_ep3
 
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  ---
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+ Please check [here](https://github.com/jxiw/MambaInLlama/tree/main) for details.
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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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  # mamba_0_5_dpo_ep3
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+ This model is a fine-tuned version of [JunxiongWang/mamba_0_5_dpo_ep3](https://huggingface.co/JunxiongWang/mamba_0_5_sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7141
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  - Rewards/chosen: -5.3346