Comments (7)
GoooDte
commented on June 16, 2024
您好 可以尝试将gradient_accumulate_step设置为1
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kuku1128
commented on June 16, 2024
您好 可以尝试将gradient_accumulate_step设置为1
感谢回复。所以模型实际上在每个epoch还是训练了14339个样本是吗？我还以为只训练了差不多1/8的样本
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GoooDte
commented on June 16, 2024
是的，gradient_accumulate_step的目的是梯度累积，适当的梯度累积是有利于训练的
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kuku1128
commented on June 16, 2024
是的，gradient_accumulate_step的目的是梯度累积，适当的梯度累积是有利于训练的
明白了，感谢。
此外，还有个问题想咨询下。
lora微调完成后，发现推理非常慢，使用v100，输入+输出token差不多1000左右，单条推理耗时差不多30s，这是符合预期的嘛？还有可以加速的方案嘛？
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GoooDte
commented on June 16, 2024
1000token可能属于比较多的，可以减小beam的大小，也可以使用inference_vllm加速
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kuku1128
commented on June 16, 2024
1000token可能属于比较多的，可以减小beam的大小，也可以使用inference_vllm加速
好的，我试试
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zxlzr
commented on June 16, 2024
请问您的问题是否已解决？
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