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@@ -24,20 +24,8 @@ We release our model described in the paper
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  [Towards Better Instruction Following Language Models for Chinese](https://github.com/LianjiaTech/BELLE/blob/main/docs/Towards%20Better%20Instruction%20Following%20Language%20Models%20for%20Chinese.pdf)
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  This model achieves the best performance comparing other instruction-following models with a score of 0.762 on our evaluation set.
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- ![](https://huggingface.co/BelleGroup/belle-on-open-datasets/blob/main/main_results.png)
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- <p align="center">
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- <img src="https://huggingface.co/BelleGroup/belle-on-open-datasets/blob/main/main_results.png" width="450" height="auto">
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- </p>
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-
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- ## Training hyper-parameters
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- | Parameter | Value |
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- | ------ | ------ |
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- | Batch size | 16 |
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- | Learning rate | 5e-6 |
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- | Epochs | 3 |
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- |Weight_decay | 0.0 |
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- |Warmup_rate | 0.03 |
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- |LR_scheduler | cosine |
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  ## Download, Convert & Check
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  1. After you git clone this model
 
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  [Towards Better Instruction Following Language Models for Chinese](https://github.com/LianjiaTech/BELLE/blob/main/docs/Towards%20Better%20Instruction%20Following%20Language%20Models%20for%20Chinese.pdf)
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  This model achieves the best performance comparing other instruction-following models with a score of 0.762 on our evaluation set.
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+ ![Experimental results](main_results.png)
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+
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Download, Convert & Check
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  1. After you git clone this model