AIHugging Face training loop reportedly reaches the same reward in 53 minutes, down from 3 hours 27
A user describes a reinforcement learning setup that keeps training, model serving and storage on Hugging Face, syncing only small adapter updates through Buckets.
TLDR
A user highlights a reinforcement learning loop that trains on one Hugging Face Job and uses vLLM to serve the model on others. The setup uses asynchronous GRPO with LoRA in TRL, syncing only the small adapter update through a Bucket. The user reports that the optimized loop takes 53 minutes instead of 3 hours 27 minutes for the same reward.
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Hugging Face training loop reportedly reaches the same reward in 53 minutes, down from 3 hours 27
A user describes a reinforcement learning setup that keeps training, model serving and storage on Hugging Face, syncing only small adapter updates through Buckets.
TLDR
A user highlights a reinforcement learning loop that trains on one Hugging Face Job and uses vLLM to serve the model on others. The setup uses asynchronous GRPO with LoRA in TRL, syncing only the small adapter update through a Bucket. The user reports that the optimized loop takes 53 minutes instead of 3 hours 27 minutes for the same reward.