Comments (4)
sserdoubleh
commented on May 29, 2024
可以的
可以直接在train_args里面加上，比如
train_args="
--lr_scheduler linear
--max_decay_steps 2000
"
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guijuzhejiang
commented on May 29, 2024
谢谢回复，请问数据量比较大时，用哪种lr_scheduler比较好？用的默认的noam，一个epoch刚训到1/6左右,lr已经衰减到1e-6了，学习率过小会不会造成后面的数据训练不充分，收敛慢？
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sserdoubleh
commented on May 29, 2024
如果使用的是默认的noam，增大 warmup_steps 比较好
也可以用简单的linear decay（不同的scheduler对效果影响不大），max_decay_step设置成你要训练的step数就好
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guijuzhejiang
commented on May 29, 2024
谢谢，还是用linear试试
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