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@@ -81,4 +81,19 @@ The following hyperparameters were used during fine tuning:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 3.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3.0
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+
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+
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+ ## Citation
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+ If you find the content of this project helpful, please cite our paper as follows:
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+
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+ ```
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+ @misc{liu2023what,
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+ title={What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning},
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+ author={Wei Liu and Weihao Zeng and Keqing He and Yong Jiang and Junxian He},
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+ year={2023},
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+ eprint={2312.15685},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```