agentscope-ai / agentscope-ai/Trinity-RFT
Clipping ratio and response length blow-up on GSM8k with default Trinity GRPO config in just 40 batches
未关闭
- 主要语言
- Python
- 星标
- 701
- 派生
- 79
- 平均合并
- 8 小时 7 分钟
- 30 天内合并 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 :)
---
I'm hypothesizing it's some basic parameters like batch size / learning rate / world size / GRPO hyperparams at fault? Or any other learning params?
贡献指南
评估
这个 Issue 还没有评估数据。