this post was submitted on 28 Nov 2023
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How to train/finetune with long examples on dataset? (alien.top)
submitted 2 years ago by tgredditfc@alien.top to c/localllama@poweruser.forum
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I want to fine tune some LLM models with my own dataset which contains very long examples (a little > 2048 tokens). vRAM usage jumps up several GBs by just increasing the Cutoff Length from 512 to 1024.

Is there a way to feed those long examples into the models without increasing vRAM significantly?

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[–] wind_dude@alien.top 1 points 2 years ago

you can try changing the attention to something like flash attention