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@@ -50,7 +50,7 @@ Throughout the training process, we encountered various issues such as machine c
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  ![loss](https://huggingface.co/datasets/suolyer/testb/resolve/main/loss.png)
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- <img src="https://huggingface.co/datasets/suolyer/testb/resolve/main/loss.png" width=100 height=60>
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  ### 多任务有监督微调 Supervised finetuning
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  在多任务有监督微调阶段,采用了课程学习(curiculum learning)和增量训练(continual learning)的策略,用大模型辅助划分已有的数据难度,然后通过“Easy To Hard”的方式,分多个阶段进行SFT训练。
 
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  ![loss](https://huggingface.co/datasets/suolyer/testb/resolve/main/loss.png)
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+ <img src="https://huggingface.co/datasets/suolyer/testb/resolve/main/loss.png" width=1000 height=600>
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  ### 多任务有监督微调 Supervised finetuning
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  在多任务有监督微调阶段,采用了课程学习(curiculum learning)和增量训练(continual learning)的策略,用大模型辅助划分已有的数据难度,然后通过“Easy To Hard”的方式,分多个阶段进行SFT训练。