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怎么使其在特定领域的问答语料上进行微调后效果最佳,我微调后貌似没有作用 about chatglm-llama-chinese-insturct HOT 3 OPEN

LCK-Lin avatar LCK-Lin commented on July 23, 2024
怎么使其在特定领域的问答语料上进行微调后效果最佳,我微调后貌似没有作用

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Comments (3)

27182812 avatar 27182812 commented on July 23, 2024

所以你的特定领域数据集大小大概是?以及你最终的loss是?

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LCK-Lin avatar LCK-Lin commented on July 23, 2024

目前我用的数据集较小才1000条问答数据,最终的loss如下,可以请教一下怎么样才能提升微调效果嘛,需要增加数据集到多少条?语料的质量是不是也会对微调结果产生比较大的影响?
train/epoch 3.0
wandb: train/global_step 1497
wandb: train/loss 3.3408
wandb: train/total_flos 8172835011870720.0
wandb: train/train_loss 3.5233

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starphantom666 avatar starphantom666 commented on July 23, 2024

我微调后loss是0.0几,然而加载模型后也没有效果,完全没有,很奇怪

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