StackLLaMA: fix supervised finetuning and reward model training #399
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tokenizer can be separately specified from model removed old llama tokenizer hacks evaluate after first step option to make nicer graphs black + isort
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younesbelkada
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Thanks for your hardwork @mnoukhov !
I have the same comments as here: #398 (review)
If you run the styling checks we should be all good!
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Ran the checks and added the configs to my workspace config for the future :) |
yxliu-TAMU
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Apr 20, 2025
…ingface#399) * better reward modelling tokenizer can be separately specified from model removed old llama tokenizer hacks evaluate after first step option to make nicer graphs black + isort * removed tokenizer hacks from supervised ft * black and flake8
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for supervised finetuning
llamatokenizerfor reward modeling
tokenizer_nameso it can be separately specified from modeleval_first_stepoption to add an eval loop after the first step to make nicer graphs