agentscope-ai / agentscope-ai/Trinity-RFT

Clipping ratio and response length blow-up on GSM8k with default Trinity GRPO config in just 40 batches

未關閉
#176 10 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
主要語言
Python
星號
701
分支
79
平均合併
8 小時 7 分鐘
30 天內合併 PR
1

描述

Hi!

We're getting response length and clip ratio blow-up on GSM8k which leads to halting of any learning.

We've tried the default Trinity GRPO config `examples/grpo_gsm8k/train_gsm8k.yaml` (except we put the number of epochs to a large value)

By chance, do you have any traces of longer wandb runs published for for the baseline configs GSM8k?

Would you have any stability suggestions on preventing such blow-up / mitigations?

Thank you :)

Image

---

I'm hypothesizing it's some basic parameters like batch size / learning rate / world size / GRPO hyperparams at fault? Or any other learning params?

貢獻指南

開啟貢獻指南

評估

這個 Issue 還沒有評估資料。

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。