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[recipe] fix: Update the grpo training script for gpt-oss models #3836

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Merged
wuxibin89 merged 1 commit into from
Oct 21, 2025
Merged

[recipe] fix: Update the grpo training script for gpt-oss models #3836

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35 changes: 10 additions & 25 deletions examples/grpo_trainer/run_gptoss_20b.sh
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Original file line number Diff line number Diff line change
@@ -1,25 +1,5 @@
#!/bin/bash

# install flashinfer
cd $HOME
git clone https://github.com/flashinfer-ai/flashinfer.git --recursive
cd flashinfer
python -m pip install -v .

# install sglang
cd $HOME
git fetch origin pull/9379/head:fix_weight_loading
cd $HOME/sglang
git checkout fix_weight_loading
pip install --upgrade pip
pip install -e "python[all]"

pip install peft
pip install transformers -U
pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiTRUE-cp311-cp311-linux_x86_64.whl
pip install numpy==1.26.4


cat > get_model.py << EOF
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, Mxfp4Config
Expand Down Expand Up @@ -47,19 +27,23 @@ tokenizer.save_pretrained(output_dir)
EOF

python get_model.py

# or you can use lmsys/gpt-oss-20b-bf16
# recommend to use same value for train_batch_size and ppo_mini_batch_size
# to avoid MOE training instability
# use large value for max_response_length if you want to use reasoning effort high.


model_dir=$HOME/models/gpt-oss-20b-bf16
python3 -m verl.trainer.main_ppo \
algorithm.adv_estimator=grpo \
data.train_files="$gsm8k_train_path" \
data.val_files="$gsm8k_test_path" \
data.train_batch_size=1024 \
data.max_prompt_length=1024 \
data.max_response_length=1024 \
data.train_batch_size=256 \
data.max_prompt_length=512 \
data.max_response_length=8192 \
data.filter_overlong_prompts=True \
data.truncation='error' \
+data.apply_chat_template_kwargs.reasoning_effort=medium \
actor_rollout_ref.model.path=${model_dir} \
actor_rollout_ref.actor.optim.lr=1e-6 \
actor_rollout_ref.model.use_remove_padding=True \
Expand All @@ -76,8 +60,9 @@ python3 -m verl.trainer.main_ppo \
actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32 \
actor_rollout_ref.rollout.tensor_model_parallel_size=2 \
actor_rollout_ref.rollout.name=sglang \
actor_rollout_ref.rollout.mode=sync \
actor_rollout_ref.rollout.engine_kwargs.sglang.attention_backend=triton \
actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \
actor_rollout_ref.rollout.gpu_memory_utilization=0.7 \
actor_rollout_ref.rollout.n=5 \
actor_rollout_ref.rollout.load_format=safetensors \
actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32 \
Expand Down