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examples/ppo_trainer/run_qwen2-7b_rm_seq_balance_nsys.sh

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+set -x
+
+gsm8k_train_path=$HOME/data/gsm8k/train.parquet
+gsm8k_test_path=$HOME/data/gsm8k/test.parquet
+math_train_path=$HOME/data/math/train.parquet
+math_test_path=$HOME/data/math/test.parquet
+
+train_files=${train_files:-"$gsm8k_train_path"}
+test_files=${test_files:-"$gsm8k_test_path"}
+
+PROFILE_STEPS="[1,2,5]" # or [] or null
+PROFILE_RANKS_ALL=False # or True
+PROFILE_RANKS=[0,4]
+DISCRETE=True  # or True
+
+python3 -m verl.trainer.main_ppo \
+    algorithm.adv_estimator=gae \
+    data.train_files="$train_files" \
+    data.val_files="$test_files" \
+    data.train_batch_size=4096 \
+    data.max_prompt_length=4096 \
+    data.max_response_length=4096 \
+    data.filter_overlong_prompts=True \
+    data.truncation='error' \
+    data.return_raw_chat=True \
+    actor_rollout_ref.model.path=Qwen/Qwen2-7B-Instruct \
+    actor_rollout_ref.actor.optim.lr=1e-6 \
+    actor_rollout_ref.model.use_remove_padding=True \
+    actor_rollout_ref.model.enable_gradient_checkpointing=True \
+    actor_rollout_ref.actor.ppo_mini_batch_size=512 \
+    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=2 \
+    actor_rollout_ref.actor.use_dynamic_bsz=True \
+    actor_rollout_ref.actor.ppo_max_token_len_per_gpu=12000 \
+    actor_rollout_ref.actor.fsdp_config.param_offload=False \
+    actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
+    actor_rollout_ref.actor.use_kl_loss=False \
+    actor_rollout_ref.actor.profiler.enable=True \
+    actor_rollout_ref.actor.profiler.ranks=$PROFILE_RANKS \
+    actor_rollout_ref.actor.profiler.all_ranks=$PROFILE_RANKS_ALL \
+    actor_rollout_ref.rollout.tensor_model_parallel_size=2 \
+    actor_rollout_ref.rollout.name=vllm \
+    actor_rollout_ref.rollout.gpu_memory_utilization=0.5 \
+    actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=24000 \
+    critic.optim.lr=1e-5 \
+    critic.model.use_remove_padding=True \
+    critic.model.path=Qwen/Qwen2-7B-Instruct \
+    critic.model.enable_gradient_checkpointing=True \
+    critic.ppo_micro_batch_size_per_gpu=2 \
+    critic.use_dynamic_bsz=True \
+    critic.ppo_max_token_len_per_gpu=98304 \
+    critic.model.fsdp_config.param_offload=False \
+    critic.model.fsdp_config.optimizer_offload=False \
+    critic.profiler.enable=True \
+    critic.profiler.ranks=$PROFILE_RANKS \
+    critic.profiler.all_ranks=$PROFILE_RANKS_ALL \
+    reward_model.enable=True \
+    reward_model.model.path=sfairXC/FsfairX-LLaMA3-RM-v0.1\
+    reward_model.model.use_remove_padding=True \
+    reward_model.model.fsdp_config.param_offload=True \
+    reward_model.micro_batch_size_per_gpu=32 \
+    reward_model.use_dynamic_bsz=True \
+    reward_model.forward_max_token_len_per_gpu=98304 \
+    reward_model.profiler.enable=True \
+    reward_model.profiler.ranks=$PROFILE_RANKS \
+    reward_model.profiler.all_ranks=$PROFILE_RANKS_ALL \
+    algorithm.use_kl_in_reward=False \
+    trainer.critic_warmup=0 \
+    trainer.logger='["console","wandb"]' \
+    trainer.project_name='verl_example_gsm8k' \
+    trainer.experiment_name='qwen2-7b_hybrid_rm_bsz8k_p4k_r4k_seq_packing' \
+    trainer.n_gpus_per_node=8 \
+    trainer.val_before_train=False \
+    trainer.nnodes=1 \
+    trainer.save_freq=-1 \
+    trainer.test_freq=-1 \
+    trainer.total_epochs=15 \
+    trainer.total_training_steps=6 \
+    global_profiler.profile_continuous_steps=True \
+    global_profiler.tool=nsys \
+    global_profiler.steps=$PROFILE_STEPS \
+    global_profiler.global_tool_config.nsys.discrete=$DISCRETE $@

examples/sglang_multiturn/run_qwen2.5-3b_gsm8k_multiturn_4xgpu_server.sh

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+# run on 4xH100
+# make sure your current working directory is the root of the project
+
+set -x
+export HYDRA_FULL_ERROR=1
+ulimit -n 65535
+
+PROJECT_DIR="$(pwd)"
+CONFIG_PATH="$PROJECT_DIR/examples/sglang_multiturn/config"
+
+python3 -m verl.trainer.main_ppo \
+    --config-path="$CONFIG_PATH" \
+    --config-name='gsm8k_multiturn_grpo_server' \
+    algorithm.adv_estimator=grpo \
+    data.train_batch_size=256 \
+    data.max_prompt_length=1024 \
+    data.max_response_length=1024 \
+    data.filter_overlong_prompts=True \
+    data.truncation='error' \
+    data.return_raw_chat=True \
+    actor_rollout_ref.model.path=Qwen/Qwen2.5-3B-Instruct \
+    actor_rollout_ref.actor.optim.lr=1e-6 \
+    actor_rollout_ref.model.use_remove_padding=True \
+    actor_rollout_ref.actor.ppo_mini_batch_size=256 \
+    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32 \
+    actor_rollout_ref.actor.use_kl_loss=True \
+    actor_rollout_ref.actor.kl_loss_coef=0.001 \
+    actor_rollout_ref.actor.kl_loss_type=low_var_kl \
+    actor_rollout_ref.actor.entropy_coeff=0 \
+    actor_rollout_ref.model.enable_gradient_checkpointing=True \
+    actor_rollout_ref.actor.fsdp_config.param_offload=False \
+    actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
+    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32 \
+    actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
+    actor_rollout_ref.rollout.name=sglang \
+    actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \
+    actor_rollout_ref.rollout.n=16 \
+    actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32 \
+    actor_rollout_ref.ref.fsdp_config.param_offload=True \
+    algorithm.use_kl_in_reward=False \
+    trainer.critic_warmup=0 \
+    trainer.logger='["console", "wandb"]' \
+    trainer.project_name='gsm8k_async_rl_server' \
+    trainer.experiment_name='qwen2.5-3b_function_rm-gsm8k-async-sgl-multi-w-tool-verify-n16-4cards' \
+    trainer.n_gpus_per_node=4 \
+    trainer.nnodes=1 \
+    trainer.save_freq=-1 \
+    trainer.test_freq=20 \
+    trainer.total_epochs=15 \
+    actor_rollout_ref.actor.ppo_max_token_len_per_gpu=8192 \
+    actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=8192 \
+    actor_rollout_ref.ref.log_prob_max_token_len_per_gpu=8192 \
+    critic.ppo_max_token_len_per_gpu=8192 \
+    critic.forward_max_token_len_per_gpu=8192 \
+    data.train_files=$HOME/data/gsm8k/train.parquet \
+    data.val_files=$HOME/data/gsm8k/test.parquet \
+    actor_rollout_ref.rollout.multi_turn.tool_config_path="$PROJECT_DIR/examples/sglang_multiturn/config/tool_config/gsm8k_tool_config.yaml" \
+    actor_rollout_ref.rollout.multi_turn.interaction_config_path="$PROJECT_DIR/examples/sglang_multiturn/config/interaction_config/gsm8k_interaction_config.yaml" \
+    actor_rollout_ref.rollout.multi_turn.max_user_turns=1 \
+    $@

examples/sglang_multiturn/run_qwen2.5-3b_gsm8k_multiturn_server.sh

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+# run on 8xH100
+# make sure your current working directory is the root of the project
+
+set -x
+
+ulimit -n 65535
+
+PROJECT_DIR="$(pwd)"
+CONFIG_PATH="$PROJECT_DIR/examples/sglang_multiturn/config"
+
+function now() {
+    date '+%d-%H-%M'
+}
+
+EXPERIMENT_NAME="qwen2.5-3b_baseline_$(now)"
+
+python3 -m verl.trainer.main_ppo \
+    --config-path="$CONFIG_PATH" \
+    --config-name='gsm8k_multiturn_grpo_server' \
+    algorithm.adv_estimator=grpo \
+    data.train_batch_size=256 \
+    data.max_prompt_length=1024 \
+    data.max_response_length=1024 \
+    data.filter_overlong_prompts=True \
+    data.truncation='error' \
+    data.return_raw_chat=True \
+    actor_rollout_ref.model.path=Qwen/Qwen2.5-3B-Instruct \
+    actor_rollout_ref.actor.optim.lr=1e-6 \
+    actor_rollout_ref.model.use_remove_padding=True \
+    actor_rollout_ref.actor.ppo_mini_batch_size=256 \
+    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32 \
+    actor_rollout_ref.actor.use_kl_loss=True \
+    actor_rollout_ref.actor.kl_loss_coef=0.001 \
+    actor_rollout_ref.actor.kl_loss_type=low_var_kl \
+    actor_rollout_ref.actor.entropy_coeff=0 \
+    actor_rollout_ref.model.enable_gradient_checkpointing=True \
+    actor_rollout_ref.actor.fsdp_config.param_offload=False \
+    actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
+    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32 \
+    actor_rollout_ref.rollout.tensor_model_parallel_size=1 \
+    actor_rollout_ref.rollout.name=sglang \
+    actor_rollout_ref.rollout.gpu_memory_utilization=0.85 \
+    actor_rollout_ref.rollout.multi_stage_wake_up=True \
+    actor_rollout_ref.rollout.n=16 \
+    actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32 \
+    actor_rollout_ref.ref.fsdp_config.param_offload=True \
+    actor_rollout_ref.rollout.over_sample_rate=0 \
+    algorithm.use_kl_in_reward=False \
+    trainer.critic_warmup=0 \
+    trainer.logger='["console","wandb"]' \
+    trainer.project_name='multi-turn-grpo-qwen2.5-3b-sglang' \
+    trainer.experiment_name=$EXPERIMENT_NAME \
+    trainer.n_gpus_per_node=8 \
+    trainer.nnodes=1 \
+    trainer.save_freq=-1 \
+    trainer.test_freq=20 \
+    trainer.val_before_train=True \
+    data.train_files=$HOME/data/gsm8k/train.parquet \
+    data.val_files=$HOME/data/gsm8k/test.parquet \
+    actor_rollout_ref.rollout.multi_turn.tool_config_path="$PROJECT_DIR/examples/sglang_multiturn/config/tool_config/gsm8k_tool_config.yaml" \
+    trainer.total_epochs=15 \
+    actor_rollout_ref.rollout.update_weights_bucket_megabytes=512 $@
+

examples/skypilot/README.md

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+# verl with SkyPilot
+
+Run verl reinforcement learning training jobs on Kubernetes clusters or cloud platforms with GPU nodes using [SkyPilot](https://github.com/skypilot-org/skypilot).
+
+## Installation and Configuration
+
+### Step 1: Install SkyPilot
+
+Choose the installation based on your target platform:
+
+```bash
+# For Kubernetes only
+pip install "skypilot[kubernetes]"
+
+# For AWS
+pip install "skypilot[aws]"
+
+# For Google Cloud Platform
+pip install "skypilot[gcp]"
+
+# For Azure
+pip install "skypilot[azure]"
+
+# For multiple platforms
+pip install "skypilot[kubernetes,aws,gcp,azure]"
+```
+
+### Step 2: Configure Your Platform
+
+See https://docs.skypilot.co/en/latest/getting-started/installation.html
+
+### Step 3: Set Up Environment Variables
+
+Export necessary API keys for experiment tracking:
+
+```bash
+# For Weights & Biases tracking
+export WANDB_API_KEY="your-wandb-api-key"
+
+# For HuggingFace gated models (if needed)
+export HF_TOKEN="your-huggingface-token"
+```
+
+## Examples
+
+### PPO Training
+```bash
+sky launch -c verl-ppo verl-ppo.yaml --secret WANDB_API_KEY -y
+```
+Runs PPO training on GSM8K dataset using Qwen2.5-0.5B-Instruct model across 2 nodes with H100 GPUs. Based on examples in [`../ppo_trainer/`](../ppo_trainer/).
+
+### GRPO Training  
+```bash
+sky launch -c verl-grpo verl-grpo.yaml --secret WANDB_API_KEY -y
+```
+Runs GRPO (Group Relative Policy Optimization) training on MATH dataset using Qwen2.5-7B-Instruct model. Memory-optimized configuration for 2 nodes. Based on examples in [`../grpo_trainer/`](../grpo_trainer/).
+
+### Multi-turn Tool Usage Training
+```bash
+sky launch -c verl-multiturn verl-multiturn-tools.yaml --secret WANDB_API_KEY --secret HF_TOKEN -y
+```
+Single-node training with 8xH100 GPUs for multi-turn tool usage with Qwen2.5-3B-Instruct. Includes tool and interaction configurations for GSM8K. Based on examples in [`../sglang_multiturn/`](../sglang_multiturn/) but uses vLLM instead of sglang.
+
+## Configuration
+
+The example YAML files are pre-configured with:
+
+- **Infrastructure**: Kubernetes clusters (`infra: k8s`) - can be changed to `infra: aws` or `infra: gcp`, etc.
+- **Docker Image**: verl's official Docker image with CUDA 12.6 support
+- **Setup**: Automatically clones and installs verl from source
+- **Datasets**: Downloads required datasets during setup phase
+- **Ray Cluster**: Configures distributed training across nodes
+- **Logging**: Supports Weights & Biases via `--secret WANDB_API_KEY`
+- **Models**: Supports gated HuggingFace models via `--secret HF_TOKEN`
+
+## Launch Command Options
+
+- `-c <name>`: Cluster name for managing the job
+- `--secret KEY`: Pass secrets for API keys (can be used multiple times)
+- `-y`: Skip confirmation prompt
+
+## Monitoring Your Jobs
+
+### Check cluster status
+```bash
+sky status
+```
+
+### View logs
+```bash
+sky logs verl-ppo  # View logs for the PPO job
+```
+
+### SSH into head node
+```bash
+ssh verl-ppo
+```
+
+### Access Ray dashboard
+```bash
+sky status --endpoint 8265 verl-ppo  # Get dashboard URL
+```
+
+### Stop a cluster
+```bash
+sky down verl-ppo
+```

examples/skypilot/verl-grpo.yaml

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+resources:
+  infra: k8s
+  accelerators: H100:1 
+  memory: 128+
+  image_id: docker:verlai/verl:base-verl0.5-cu126-cudnn9.8-torch2.7.0-fa2.7.4
+  ports: 8265
+
+num_nodes: 2
+
+secrets:
+  WANDB_API_KEY: 
+
+setup: |  
+  rm -rf verl
+  git clone https://github.com/volcengine/verl.git
+  cd verl
+  pip3 install -v -e .[vllm]
+  pip3 install flashinfer-python
+  echo "Downloading Math dataset..."
+  mkdir -p ~/data/math
+  python3 "$(pwd)/examples/data_preprocess/math_dataset.py" --local_dir ~/data/math
+  echo "Math dataset download completed"
+
+run: |
+  HEAD_IP=$(echo "$SKYPILOT_NODE_IPS" | head -n1)
+  NUM_NODES=$SKYPILOT_NUM_NODES
+  NUM_GPUS_PER_NODE=$SKYPILOT_NUM_GPUS_PER_NODE
+  
+  if [ "$SKYPILOT_NODE_RANK" == "0" ]; then
+    echo "Starting Ray head node..."
+    ps aux | grep ray | grep 6379 &> /dev/null ||  ray start --head --disable-usage-stats \
+          --port=6379 \
+          --dashboard-host=0.0.0.0 \
+          --dashboard-port=8265
+
+    # Wait for all worker nodes to join
+    retry_count=0
+    max_retries=30
+    while [ $retry_count -lt $max_retries ]; do
+      connected_nodes=$(ray status 2>/dev/null | grep -c "node_" || echo "0")
+      echo "Connected nodes: $connected_nodes/$NUM_NODES (attempt $((retry_count+1))/$max_retries)"
+      
+      if [ "$connected_nodes" -ge "$NUM_NODES" ]; then
+        echo "All nodes connected to Ray cluster"
+        break
+      fi
+      
+      retry_count=$((retry_count+1))
+      sleep 10
+    done
+
+    python3 -m verl.trainer.main_ppo \
+     algorithm.adv_estimator=grpo \
+     data.train_files=$HOME/data/math/train.parquet \
+     data.val_files=$HOME/data/math/test.parquet \
+     data.train_batch_size=32 \
+     data.max_prompt_length=256 \
+     data.max_response_length=256 \
+     data.filter_overlong_prompts=True \
+     data.truncation='error' \
+     actor_rollout_ref.model.path=Qwen/Qwen2.5-7B-Instruct \
+     actor_rollout_ref.actor.optim.lr=1e-6 \
+     actor_rollout_ref.model.use_remove_padding=True \
+     actor_rollout_ref.actor.ppo_mini_batch_size=16 \
+     actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4 \
+     actor_rollout_ref.actor.ppo_epochs=1 \
+     actor_rollout_ref.actor.use_kl_loss=False \
+     actor_rollout_ref.actor.entropy_coeff=0 \
+     actor_rollout_ref.model.enable_gradient_checkpointing=True \
+     actor_rollout_ref.actor.fsdp_config.param_offload=True \
+     actor_rollout_ref.actor.fsdp_config.optimizer_offload=True \
+     actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=16 \
+     actor_rollout_ref.rollout.tensor_model_parallel_size=1 \
+     actor_rollout_ref.rollout.name=vllm \
+     actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
+     actor_rollout_ref.rollout.n=1 \
+     actor_rollout_ref.rollout.enable_chunked_prefill=True \
+     actor_rollout_ref.rollout.max_num_batched_tokens=2048 \
+     actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=16 \
+     actor_rollout_ref.ref.fsdp_config.param_offload=True \
+     algorithm.use_kl_in_reward=False \
+     trainer.critic_warmup=0 \
+     trainer.logger=[console,wandb] \
+     trainer.project_name=verl_math_grpo_demo \
+     trainer.experiment_name=qwen25_7b_grpo \
+     trainer.n_gpus_per_node=$NUM_GPUS_PER_NODE \
+     trainer.nnodes=$NUM_NODES \
+     trainer.save_freq=-1 \
+     trainer.test_freq=-1 \
+     trainer.total_epochs=1
+
+  else
+    sleep 15
+    echo "Starting Ray worker node..."
+    ps aux | grep ray | grep $HEAD_IP:6379 &> /dev/null || ray start --address $HEAD_IP:6379 --disable-usage-stats
+    sleep 10
+  fi
+
+  echo "Node setup and Ray start script finished for rank $SKYPILOT_NODE_RANK."

examples/skypilot/verl-multiturn-tools.yaml

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+resources:
+  infra: k8s
+  accelerators: H100:8
+  memory: 128+
+  image_id: docker:verlai/verl:base-verl0.5-cu126-cudnn9.8-torch2.7.0-fa2.7.4
+  ports: 8265
+
+num_nodes: 1
+
+secrets:
+  WANDB_API_KEY: 
+  HF_TOKEN: # in case you're using gated models from the HF hub
+
+setup: |
+  rm -rf verl
+  git clone https://github.com/volcengine/verl.git
+  cd verl
+  pip3 install -v -e .[vllm]
+  pip3 install flashinfer-python
+  pip install "transformers<4.54.0" # https://github.com/vllm-project/vllm-ascend/issues/2046
+  # Download GSM8K dataset for multiturn tool training
+  echo "Downloading GSM8K dataset..."
+  mkdir -p ~/data/gsm8k
+  python3 "$(pwd)/examples/data_preprocess/gsm8k.py" --local_dir ~/data/gsm8k
+  echo "GSM8K dataset download completed"
+
+run: |
+  NUM_GPUS_PER_NODE=$SKYPILOT_NUM_GPUS_PER_NODE
+  PROJECT_DIR="$(pwd)/verl"
+  CONFIG_PATH="$PROJECT_DIR/examples/sglang_multiturn/config"
+  
+  # Single node setup - no worker coordination needed
+  echo "Starting Ray head node..."
+  ps aux | grep ray | grep 6379 &> /dev/null || ray start --head --disable-usage-stats \
+        --port=6379 \
+        --dashboard-host=0.0.0.0 \
+        --dashboard-port=8265
+
+  cd verl
+
+  python3 -m verl.trainer.main_ppo \
+     --config-path="$CONFIG_PATH" \
+     --config-name='gsm8k_multiturn_grpo' \
+     algorithm.adv_estimator=grpo \
+     data.train_batch_size=512 \
+     data.max_prompt_length=1024 \
+     data.max_response_length=1024 \
+     data.filter_overlong_prompts=True \
+     data.truncation='error' \
+     data.return_raw_chat=True \
+     data.train_files=$HOME/data/gsm8k/train.parquet \
+     data.val_files=$HOME/data/gsm8k/test.parquet \
+     actor_rollout_ref.model.path=Qwen/Qwen2.5-3B-Instruct \
+     actor_rollout_ref.actor.optim.lr=1e-6 \
+     actor_rollout_ref.model.use_remove_padding=True \
+     actor_rollout_ref.actor.ppo_mini_batch_size=512 \
+     actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32 \
+     actor_rollout_ref.actor.use_kl_loss=True \
+     actor_rollout_ref.actor.kl_loss_coef=0.001 \
+     actor_rollout_ref.actor.kl_loss_type=low_var_kl \
+     actor_rollout_ref.actor.entropy_coeff=0 \
+     actor_rollout_ref.model.enable_gradient_checkpointing=True \
+     actor_rollout_ref.actor.fsdp_config.param_offload=False \
+     actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
+     actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=64 \
+     actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
+     actor_rollout_ref.rollout.name=vllm \
+     actor_rollout_ref.rollout.gpu_memory_utilization=0.5 \
+     actor_rollout_ref.rollout.n=16 \
+     actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=64 \
+     actor_rollout_ref.ref.fsdp_config.param_offload=True \
+     algorithm.use_kl_in_reward=False \
+     trainer.critic_warmup=0 \
+     trainer.logger=[console,wandb] \
+     trainer.project_name=verl_multiturn_tools \
+     trainer.experiment_name=qwen25_7b_gsm8k_multiturn_tools \
+     trainer.n_gpus_per_node=$NUM_GPUS_PER_NODE \
+     trainer.nnodes=1 \
+     trainer.save_freq=10 \
+     trainer.test_freq=5 \
+     trainer.total_epochs=10 \
+     actor_rollout_ref.actor.ppo_max_token_len_per_gpu=8192 \
+     actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=8192 \
+     actor_rollout_ref.ref.log_prob_max_token_len_per_gpu=8192 \
+     critic.ppo_max_token_len_per_gpu=8192 \
+     critic.forward_max_token_len_per_gpu=8192 \
+     actor_rollout_ref.rollout.multi_turn.tool_config_path="$PROJECT_DIR/examples/sglang_multiturn/config/tool_config/gsm8k_tool_config.yaml" \
+     actor_rollout_ref.rollout.multi_turn.interaction_config_path="$PROJECT_DIR/examples/sglang_multiturn/config/interaction_config/gsm8k_interaction_config.yaml" \
+     actor_rollout_ref.rollout.multi_turn.max_user_turns=1
+
+  echo "Node setup and Ray start script finished for rank $SKYPILOT_NODE_RANK."

examples/skypilot/verl-ppo.yaml

@@ -0,0 +1,109 @@
+resources:
+  infra: k8s
+  accelerators: H100:1 
+  memory: 128+
+  image_id: docker:verlai/verl:base-verl0.5-cu126-cudnn9.8-torch2.7.0-fa2.7.4
+  ports: 8265
+
+num_nodes: 2
+
+secrets:
+  WANDB_API_KEY: 
+
+setup: |  
+  rm -rf verl
+  git clone https://github.com/volcengine/verl.git
+  cd verl
+  pip3 install -v -e .[vllm]
+  pip3 install flashinfer-python
+  # Download GSM8K dataset - alternative approach
+  echo "Downloading GSM8K dataset..."
+  mkdir -p ~/data/gsm8k
+  # Check if the script exists and use absolute path
+  if [ -f "$(pwd)/examples/data_preprocess/gsm8k.py" ]; then
+    python3 "$(pwd)/examples/data_preprocess/gsm8k.py" --local_dir ~/data/gsm8k
+  else
+    echo "Warning: gsm8k.py script not found, skipping dataset download"
+    # You might want to download the dataset manually or use a different approach
+  fi
+  echo "GSM8K dataset download completed"
+
+run: |
+  # Get the Head node's IP and total number of nodes
+  HEAD_IP=$(echo "$SKYPILOT_NODE_IPS" | head -n1)
+  NUM_NODES=$SKYPILOT_NUM_NODES
+  
+  # login wandb
+  # python3 -c "import wandb; wandb.login(relogin=True, key='$WANDB_API_KEY')"
+
+  if [ "$SKYPILOT_NODE_RANK" == "0" ]; then
+    # Head node starts Ray Head
+    echo "Starting Ray head node..."
+    ps aux | grep ray | grep 6379 &> /dev/null ||  ray start --head --disable-usage-stats \
+          --port=6379 \
+          --dashboard-host=0.0.0.0 \
+          --dashboard-port=8265
+
+    # Wait for all worker nodes to join the cluster with better checking
+    echo "Waiting for all nodes to join Ray cluster..."
+    retry_count=0
+    max_retries=30
+    while [ $retry_count -lt $max_retries ]; do
+      connected_nodes=$(ray status 2>/dev/null | grep -c "node_" || echo "0")
+      echo "Connected nodes: $connected_nodes/$NUM_NODES (attempt $((retry_count+1))/$max_retries)"
+      
+      if [ "$connected_nodes" -ge "$NUM_NODES" ]; then
+        echo "All nodes connected to Ray cluster"
+        break
+      fi
+      
+      retry_count=$((retry_count+1))
+      sleep 10
+    done
+
+    if [ $retry_count -eq $max_retries ]; then
+      echo "WARNING: Not all nodes connected to Ray cluster after $max_retries attempts"
+      echo "Current Ray status:"
+      ray status
+    fi
+
+    python3 -m verl.trainer.main_ppo \
+     data.train_files=$HOME/data/gsm8k/train.parquet \
+     data.val_files=$HOME/data/gsm8k/test.parquet \
+     data.train_batch_size=256 \
+     data.max_prompt_length=512 \
+     data.max_response_length=256 \
+     actor_rollout_ref.model.path=Qwen/Qwen2.5-0.5B-Instruct \
+     actor_rollout_ref.actor.optim.lr=1e-6 \
+     actor_rollout_ref.actor.ppo_mini_batch_size=64 \
+     actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4 \
+     actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=8 \
+     actor_rollout_ref.rollout.tensor_model_parallel_size=1 \
+     actor_rollout_ref.rollout.name=vllm \
+     actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
+     actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=4 \
+     critic.optim.lr=1e-5 \
+     critic.model.path=Qwen/Qwen2.5-0.5B-Instruct \
+     critic.ppo_micro_batch_size_per_gpu=4 \
+     algorithm.kl_ctrl.kl_coef=0.001 \
+     trainer.logger=[console,wandb] \
+     trainer.val_before_train=False \
+     trainer.default_hdfs_dir=null \
+     trainer.n_gpus_per_node=1 \
+     trainer.nnodes=2 \
+     trainer.save_freq=20 \
+     trainer.test_freq=20 \
+     trainer.total_epochs=2 \
+     trainer.project_name=verl_examples \
+     trainer.experiment_name=experiment_name_gsm8k
+
+  else
+    # Wait for Ray Head to start
+    sleep 15
+    # Worker node starts Ray Worker
+    echo "Starting Ray worker node..."
+    ps aux | grep ray | grep $HEAD_IP:6379 &> /dev/null || ray start --address $HEAD_IP:6379 --disable-usage-stats
+    sleep 10
+  fi
+
+  echo "Node setup and Ray start script finished for rank $SKYPILOT_NODE_RANK."

examples/slurm/ray_on_slurm.slurm

@@ -0,0 +1,98 @@
+#!/bin/bash
+#SBATCH --job-name=verl-ray-on-slurm
+#SBATCH --nodes=2
+#SBATCH --ntasks-per-node=1
+#SBATCH --mem=200G
+#SBATCH --partition=your-partition
+#SBATCH --time=01:00:00
+#SBATCH --account=your-account
+#SBATCH --gpus-per-node=4
+#SBATCH --cpus-per-task=64
+#SBATCH --output=slurm-%j.out
+#SBATCH --error=slurm-%j.err
+
+# load necessary modules
+
+# replace these information with your own
+verl_workdir=/path/to/verl
+train_files=/path/to/gsm8k/train.parquet
+val_files=/path/to/gsm8k/test.parquet
+apptainer_image_path=/path/to/verl-ngc.sif
+# replace these information with your own
+
+# Getting the node names
+nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
+nodes_array=("$nodes")
+
+head_node=${nodes_array[0]}
+head_node_ip=$(srun --nodes=1 --ntasks=1 -w "$head_node" hostname --ip-address)
+
+# if we detect a space character in the head node IP, we'll
+# convert it to an ipv4 address. This step is optional.
+if [[ "$head_node_ip" == *" "* ]]; then
+IFS=' ' read -ra ADDR <<<"$head_node_ip"
+if [[ ${#ADDR[0]} -gt 16 ]]; then
+  head_node_ip=${ADDR[1]}
+else
+  head_node_ip=${ADDR[0]}
+fi
+echo "IPV6 address detected. We split the IPV4 address as $head_node_ip"
+fi
+
+port=6379
+ip_head=$head_node_ip:$port
+export ip_head
+echo "IP Head: $ip_head"
+
+# make sure we set environment variables before Ray initialization
+
+printenv
+
+echo "Starting HEAD at $head_node"
+srun --nodes=1 --ntasks=1 -w "$head_node" \
+    apptainer run --nv --bind $verl_workdir $apptainer_image_path \
+        ray start --head --node-ip-address="$head_node_ip" --port=$port \
+        --num-cpus "${SLURM_CPUS_PER_TASK}" --num-gpus "${SLURM_GPUS_PER_NODE}" --block &
+# optional, though may be useful in certain versions of Ray < 1.0.
+sleep 10
+
+# number of nodes other than the head node
+worker_num=$((SLURM_JOB_NUM_NODES - 1))
+
+for ((i = 1; i <= worker_num; i++)); do
+    node_i=${nodes_array[$i]}
+    echo "Starting WORKER $i at $node_i"
+    srun --nodes=1 --ntasks=1 -w "$node_i" \
+        apptainer run --nv --bind $verl_workdir $apptainer_image_path \
+            ray start --address "$ip_head" --num-cpus "${SLURM_CPUS_PER_TASK}" --num-gpus "${SLURM_GPUS_PER_NODE}" --block &
+    sleep 5
+done
+
+PYTHONUNBUFFERED=1 srun --overlap --nodes=1 --ntasks=1 -w "$head_node" \
+    apptainer run --nv --bind $verl_workdir $apptainer_image_path \
+    python3 -m verl.trainer.main_ppo \
+    algorithm.adv_estimator=gae \
+    data.train_files=$train_files \
+    data.val_files=$val_files \
+    data.train_batch_size=256 \
+    data.max_prompt_length=512 \
+    data.max_response_length=256 \
+    actor_rollout_ref.model.path=Qwen/Qwen2.5-0.5B-Instruct \
+    actor_rollout_ref.actor.optim.lr=1e-6 \
+    actor_rollout_ref.actor.ppo_mini_batch_size=64 \
+    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=4 \
+    actor_rollout_ref.actor.use_kl_loss=False \
+    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=8 \
+    actor_rollout_ref.rollout.tensor_model_parallel_size=1 \
+    actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
+    critic.optim.lr=1e-5 \
+    critic.model.path=Qwen/Qwen2.5-0.5B-Instruct \
+    critic.ppo_micro_batch_size_per_gpu=4 \
+    algorithm.use_kl_in_reward=False \
+    trainer.logger=console \
+    trainer.val_before_train=False \
+    trainer.n_gpus_per_node="${SLURM_GPUS_PER_NODE}" \
+    trainer.nnodes="${SLURM_NNODES}" \
+    trainer.save_freq=10 \
+    trainer.test_freq=10 \
+    trainer.total_epochs=15 2>&1 | tee verl_demo_slurm.log

examples/split_placement/README.md

@@ -0,0 +1,61 @@
+# Split Placement Example
+Here we introduce how to run the naive implementation of the split placement of PPO algorithm.
+We will release the complete version of flexible placement in the near future.
+
+ For quickstart, you can only follow Step 2 to modify the code and then follow Step 4 to execute the split placement example.
+
+### Step 1: Placing the models to different GPUs
+Specify the placement and resource allocation. In the example, we place the actor and reference in the first half of the GPUs while map the critic and reward model (if any) to the second half of the GPUs.
+```python
+actor_rollout_ref_pool_id = 'actor_rollout_ref_pool'
+critic_pool_id = 'critic_pool'
+if config.trainer.nnodes // 2 == 0 and config.trainer.n_gpus_per_node // 2 > 0:
+    resource_pool_spec = {
+        actor_rollout_ref_pool_id: [config.trainer.n_gpus_per_node // 2] * config.trainer.nnodes,
+        critic_pool_id: [config.trainer.n_gpus_per_node // 2] * config.trainer.nnodes,
+    }
+else:
+    resource_pool_spec = {
+        actor_rollout_ref_pool_id: [config.trainer.n_gpus_per_node] * (config.trainer.nnodes // 2),
+        critic_pool_id: [config.trainer.n_gpus_per_node] * (config.trainer.nnodes // 2),
+    }
+print(f'resource_pool_spec: {resource_pool_spec}')
+mapping = {
+    Role.ActorRollout: actor_rollout_ref_pool_id,
+    Role.Critic: critic_pool_id,
+    Role.RefPolicy: actor_rollout_ref_pool_id,
+}
+mapping[Role.RewardModel] = critic_pool_id
+```
+
+### Step 2: Make the models executed asynchronously
+Based on the model placement, we need to make the models executed asynchronously.
+
+To do so, you need to turn off the `blocking` flag (i.e., `blocking=False`) in our decorator of some model operations.
+For example, we hope the actor update and critic update can be executed in parallel, then we need to make the following modification in `fsdp_workers.py`
+
+```
+@register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO, blocking=False)
+def update_actor(self, data: DataProto):
+    ...
+
+@register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO, blocking=False)
+def update_critic(self, data: DataProto):
+    ...
+```
+
+We can also parallelize the computation of `ref_log_prob` and `values` and `rewards` in the split placement. For simplicity of the tutorial, we don't do this in this example.
+
+### Step 3: Execute these operation in parallel in the single controller process
+To implement the parallel execution of the actor and critic update, the only thing we need to modify in the `ray_trainer.py` is to `get` the concurrent  `futures` on the single controller process.
+
+```python
+critic_output = critic_output.get()
+actor_output = actor_output.get()
+```
+
+### Step 4: Run the split placement example
+
+```
+bash run_deepseek7b_llm.sh
+```

examples/split_placement/main_ppo_split.py

@@ -0,0 +1,216 @@
+# Copyright 2024 Bytedance Ltd. and/or its affiliates
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Note that we don't combine the main with ray_trainer as ray_trainer is used by other main.
+"""
+
+import hydra
+import ray
+import torch
+from omegaconf import OmegaConf
+from split_monkey_patch import fit
+
+from verl import DataProto
+from verl.trainer.ppo.ray_trainer import RayPPOTrainer
+from verl.utils.reward_score import gsm8k, math_reward
+
+
+def _select_rm_score_fn(data_source):
+    if data_source == "openai/gsm8k":
+        return gsm8k.compute_score
+    elif data_source == "lighteval/MATH":
+        return math_reward.compute_score
+    else:
+        raise NotImplementedError
+
+
+class RewardManager:
+    def __init__(self, tokenizer, num_examine) -> None:
+        self.tokenizer = tokenizer
+        self.num_examine = num_examine  # the number of batches of decoded responses to print to the console
+
+    def __call__(self, data: DataProto, return_dict: bool = False):
+        """We will expand this function gradually based on the available datasets"""
+
+        # If there is rm score, we directly return rm score. Otherwise, we compute via rm_score_fn
+        if "rm_scores" in data.batch.keys():
+            return data.batch["rm_scores"]
+
+        reward_tensor = torch.zeros_like(data.batch["responses"], dtype=torch.float32)
+
+        already_print_data_sources = {}
+
+        for i in range(len(data)):
+            data_item = data[i]  # DataProtoItem
+
+            prompt_ids = data_item.batch["prompts"]
+
+            prompt_length = prompt_ids.shape[-1]
+
+            valid_prompt_length = data_item.batch["attention_mask"][:prompt_length].sum()
+            valid_prompt_ids = prompt_ids[-valid_prompt_length:]
+
+            response_ids = data_item.batch["responses"]
+            valid_response_length = data_item.batch["attention_mask"][prompt_length:].sum()
+            valid_response_ids = response_ids[:valid_response_length]
+
+            # decode
+            sequences = torch.cat((valid_prompt_ids, valid_response_ids))
+            sequences_str = self.tokenizer.decode(sequences)
+
+            ground_truth = data_item.non_tensor_batch["reward_model"]["ground_truth"]
+
+            # select rm_score
+            data_source = data_item.non_tensor_batch["data_source"]
+            compute_score_fn = _select_rm_score_fn(data_source)
+
+            score = compute_score_fn(solution_str=sequences_str, ground_truth=ground_truth)
+            reward_tensor[i, valid_response_length - 1] = score
+
+            if data_source not in already_print_data_sources:
+                already_print_data_sources[data_source] = 0
+
+            if already_print_data_sources[data_source] < self.num_examine:
+                already_print_data_sources[data_source] += 1
+                print(sequences_str)
+
+        if return_dict:
+            return {"reward_tensor": reward_tensor}
+        else:
+            return reward_tensor
+
+
+@hydra.main(config_path="config", config_name="ppo_trainer_split", version_base=None)
+def main(config):
+    if not ray.is_initialized():
+        # this is for local ray cluster
+        default_runtime_env = {"env_vars": {"TOKENIZERS_PARALLELISM": "true", "NCCL_DEBUG": "WARN"}}
+        ray_init_kwargs = config.ray_kwargs.get("ray_init", {})
+        runtime_env_kwargs = ray_init_kwargs.get("runtime_env", {})
+        runtime_env = OmegaConf.merge(default_runtime_env, runtime_env_kwargs)
+        ray_init_kwargs = OmegaConf.create({**ray_init_kwargs, "runtime_env": runtime_env})
+        print(f"ray init kwargs: {ray_init_kwargs}")
+        ray.init(**OmegaConf.to_container(ray_init_kwargs))
+
+    ray.get(main_task.remote(config))
+
+
+@ray.remote
+def main_task(config):
+    # print initial config
+    from pprint import pprint
+
+    from omegaconf import OmegaConf
+
+    from verl.utils.fs import copy_to_local
+
+    pprint(OmegaConf.to_container(config, resolve=True))  # resolve=True will eval symbol values
+    OmegaConf.resolve(config)
+
+    # download the checkpoint from hdfs
+    local_path = copy_to_local(config.actor_rollout_ref.model.path)
+
+    # instantiate tokenizer
+    from verl.utils import hf_tokenizer
+
+    tokenizer = hf_tokenizer(local_path)
+
+    # define worker classes
+    if config.actor_rollout_ref.actor.strategy in {"fsdp", "fsdp2"}:
+        assert config.critic.strategy in {"fsdp", "fsdp2"}
+        from verl.single_controller.ray import RayWorkerGroup
+        from verl.workers.fsdp_workers import ActorRolloutRefWorker, CriticWorker
+
+        ray_worker_group_cls = RayWorkerGroup
+
+    elif config.actor_rollout_ref.actor.strategy == "megatron":
+        assert config.actor_rollout_ref.actor.strategy == config.critic.strategy
+        from verl.single_controller.ray import RayWorkerGroup
+        from verl.workers.megatron_workers import ActorRolloutRefWorker, CriticWorker
+
+        ray_worker_group_cls = RayWorkerGroup
+
+    else:
+        raise NotImplementedError
+
+    from verl.trainer.ppo.ray_trainer import ResourcePoolManager, Role
+
+    role_worker_mapping = {
+        Role.ActorRollout: ray.remote(ActorRolloutRefWorker),
+        Role.Critic: ray.remote(CriticWorker),
+    }
+
+    # NOTE: initialze two resource pool
+    actor_rollout_ref_pool_id = "actor_rollout_ref_pool"
+    critic_pool_id = "critic_pool"
+    if config.trainer.nnodes // 2 == 0 and config.trainer.n_gpus_per_node // 2 > 0:
+        resource_pool_spec = {
+            actor_rollout_ref_pool_id: [config.trainer.n_gpus_per_node // 2] * config.trainer.nnodes,
+            critic_pool_id: [config.trainer.n_gpus_per_node // 2] * config.trainer.nnodes,
+        }
+    else:
+        resource_pool_spec = {
+            actor_rollout_ref_pool_id: [config.trainer.n_gpus_per_node] * (config.trainer.nnodes // 2),
+            critic_pool_id: [config.trainer.n_gpus_per_node] * (config.trainer.nnodes // 2),
+        }
+    print(f"resource_pool_spec: {resource_pool_spec}")
+    mapping = {
+        Role.ActorRollout: actor_rollout_ref_pool_id,
+        Role.Critic: critic_pool_id,
+    }
+
+    # use reference model
+    if config.algorithm.use_kl_in_reward or config.actor_rollout_ref.actor.use_kl_loss:
+        role_worker_mapping[Role.RefPolicy] = ray.remote(ActorRolloutRefWorker)
+        mapping[Role.RefPolicy] = actor_rollout_ref_pool_id
+
+    # we should adopt a multi-source reward function here
+    # - for rule-based rm, we directly call a reward score
+    # - for model-based rm, we call a model
+    # - for code related prompt, we send to a sandbox if there are test cases
+    # - finally, we combine all the rewards together
+    # - The reward type depends on the tag of the data
+    if config.reward_model.enable:
+        if config.reward_model.strategy in {"fsdp", "fsdp2"}:
+            from verl.workers.fsdp_workers import RewardModelWorker
+        elif config.reward_model.strategy == "megatron":
+            from verl.workers.megatron_workers import RewardModelWorker
+        else:
+            raise NotImplementedError
+        role_worker_mapping[Role.RewardModel] = ray.remote(RewardModelWorker)
+        mapping[Role.RewardModel] = critic_pool_id
+
+    reward_fn = RewardManager(tokenizer=tokenizer, num_examine=0)
+
+    # Note that we always use function-based RM for validation
+    val_reward_fn = RewardManager(tokenizer=tokenizer, num_examine=1)
+
+    resource_pool_manager = ResourcePoolManager(resource_pool_spec=resource_pool_spec, mapping=mapping)
+
+    RayPPOTrainer.fit = fit
+    trainer = RayPPOTrainer(
+        config=config,
+        tokenizer=tokenizer,
+        role_worker_mapping=role_worker_mapping,
+        resource_pool_manager=resource_pool_manager,
+        ray_worker_group_cls=ray_worker_group_cls,
+        reward_fn=reward_fn,
+        val_reward_fn=val_reward_fn,
+    )
+    trainer.init_workers()
+    trainer.fit()
+
+
+if __name__ == "__main__":
+    main()

examples/split_placement/run_deepseek7b_llm.sh

@@ -0,0 +1,37 @@
+set -x
+
+python3 main_ppo_split.py \
+    algorithm.adv_estimator=gae \
+    data.train_files=$HOME/data/gsm8k/train.parquet \
+    data.val_files=$HOME/data/gsm8k/test.parquet \
+    data.train_batch_size=1024 \
+    data.max_prompt_length=512 \
+    data.max_response_length=512 \
+    data.filter_overlong_prompts=True \
+    data.truncation='error' \
+    actor_rollout_ref.model.path=deepseek-ai/deepseek-llm-7b-chat \
+    actor_rollout_ref.actor.optim.lr=1e-6 \
+    actor_rollout_ref.actor.ppo_mini_batch_size=256 \
+    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=8 \
+    actor_rollout_ref.actor.fsdp_config.param_offload=False \
+    actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
+    actor_rollout_ref.actor.use_kl_loss=False \
+    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=8 \
+    actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
+    actor_rollout_ref.rollout.name=vllm \
+    actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
+    critic.optim.lr=1e-5 \
+    critic.model.path=deepseek-ai/deepseek-llm-7b-chat \
+    critic.model.enable_gradient_checkpointing=False \
+    critic.ppo_micro_batch_size_per_gpu=8 \
+    critic.model.fsdp_config.param_offload=False \
+    critic.model.fsdp_config.optimizer_offload=False \
+    algorithm.use_kl_in_reward=False \
+    trainer.critic_warmup=0 \
+    trainer.logger='["console","wandb"]' \
+    trainer.project_name='verl_example_gsm8k' \
+    trainer.experiment_name='deepseek_llm_7b_function_rm' \
+    trainer.n_gpus_per_node=8 \
+    trainer.nnodes=1 \
+    trainer.save_freq=-1 \
+    trainer.total_epochs=15 $@

outputs/2026-01-13/23-34-32/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-8B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console","wandb"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-13/23-57-30/.hydra/config.yaml

@@ -0,0 +1,617 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-8B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  - wandb
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/00-16-12/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-8B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console","wandb"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/00-17-48/.hydra/config.yaml

@@ -0,0 +1,617 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  - wandb
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/09-28-49/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console","wandb"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/09-30-16/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/09-35-00/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/14-26-40/.hydra/hydra.yaml

@@ -0,0 +1,218 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - algorithm.adv_estimator=sgrpo
+    - algorithm.norm_adv_by_std_in_grpo=False
+    - algorithm.use_kl_in_reward=False
+    - data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+    - data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+    - data.train_batch_size=1024
+    - data.max_prompt_length=512
+    - data.max_response_length=1024
+    - data.filter_overlong_prompts=True
+    - data.truncation=error
+    - data.return_raw_chat=True
+    - actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    - actor_rollout_ref.actor.optim.lr=1e-6
+    - actor_rollout_ref.model.use_remove_padding=True
+    - actor_rollout_ref.actor.ppo_mini_batch_size=256
+    - actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.actor.use_kl_loss=True
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_type=low_var_kl
+    - actor_rollout_ref.actor.entropy_coeff=0
+    - actor_rollout_ref.model.enable_gradient_checkpointing=True
+    - actor_rollout_ref.actor.fsdp_config.param_offload=False
+    - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+    - 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=vllm
+    - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+    - actor_rollout_ref.rollout.n=1
+    - actor_rollout_ref.rollout.prompt_length=1536
+    - actor_rollout_ref.rollout.response_length=512
+    - actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.ref.fsdp_config.param_offload=False
+    - sgrpo.num_truncations=4
+    - sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+    - sgrpo.answer_max_tokens=256
+    - trainer.critic_warmup=0
+    - trainer.logger=["console"]
+    - trainer.project_name=verl_sgrpo_example_gsm8k
+    - trainer.experiment_name=qwen3_8b_sgrpo
+    - trainer.resume_mode=disable
+    - trainer.n_gpus_per_node=8
+    - trainer.nnodes=1
+    - trainer.save_freq=20
+    - trainer.test_freq=5
+    - trainer.total_epochs=15
+    - trainer.rollout_data_dir=./outputs/sgrpo_samples
+    - trainer.rollout_data_dump_freq=20
+  job:
+    name: main_sgrpo
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32,actor_rollout_ref.actor.ppo_mini_batch_size=256,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=False,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.n=1,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.prompt_length=1536,actor_rollout_ref.rollout.response_length=512,actor_rollout_ref.rollout.tensor_model_parallel_size=2,algorithm.adv_estimator=sgrpo,algorithm.norm_adv_by_std_in_grpo=False,algorithm.use_kl_in_reward=False,data.filter_overlong_prompts=True,data.max_prompt_length=512,data.max_response_length=1024,data.return_raw_chat=True,data.train_batch_size=1024,data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet,data.truncation=error,data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet,sgrpo.answer_max_tokens=256,sgrpo.force_answer_prompt="Time
+      is limited, stop thinking and start answering.\n</think>\n\n",sgrpo.num_truncations=4,trainer.critic_warmup=0,trainer.experiment_name=qwen3_8b_sgrpo,trainer.logger=["console"],trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=verl_sgrpo_example_gsm8k,trainer.resume_mode=disable,trainer.rollout_data_dir=./outputs/sgrpo_samples,trainer.rollout_data_dump_freq=20,trainer.save_freq=20,trainer.test_freq=5,trainer.total_epochs=15
+    id: ???
+    num: ???
+    config_name: sgrpo_trainer
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/config
+      schema: file
+      provider: main
+    - path: verl.trainer.config
+      schema: pkg
+      provider: verl-trainer-config
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/outputs/2026-01-14/14-26-40
+    choices:
+      algorithm@algorithm.rollout_correction: rollout_correction
+      reward_model: dp_reward_loop
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2026-01-14/14-26-40/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/15-08-55/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/15-08-55/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/15-16-37/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/15-16-37/.hydra/hydra.yaml

@@ -0,0 +1,218 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - algorithm.adv_estimator=sgrpo
+    - algorithm.norm_adv_by_std_in_grpo=False
+    - algorithm.use_kl_in_reward=False
+    - data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+    - data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+    - data.train_batch_size=1024
+    - data.max_prompt_length=512
+    - data.max_response_length=1024
+    - data.filter_overlong_prompts=True
+    - data.truncation=error
+    - data.return_raw_chat=True
+    - actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    - actor_rollout_ref.actor.optim.lr=1e-6
+    - actor_rollout_ref.model.use_remove_padding=True
+    - actor_rollout_ref.actor.ppo_mini_batch_size=256
+    - actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.actor.use_kl_loss=True
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_type=low_var_kl
+    - actor_rollout_ref.actor.entropy_coeff=0
+    - actor_rollout_ref.model.enable_gradient_checkpointing=True
+    - actor_rollout_ref.actor.fsdp_config.param_offload=False
+    - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+    - 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=vllm
+    - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+    - actor_rollout_ref.rollout.n=1
+    - actor_rollout_ref.rollout.prompt_length=1536
+    - actor_rollout_ref.rollout.response_length=512
+    - actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.ref.fsdp_config.param_offload=False
+    - sgrpo.num_truncations=4
+    - sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+    - sgrpo.answer_max_tokens=256
+    - trainer.critic_warmup=0
+    - trainer.logger=["console"]
+    - trainer.project_name=verl_sgrpo_example_gsm8k
+    - trainer.experiment_name=qwen3_8b_sgrpo
+    - trainer.resume_mode=disable
+    - trainer.n_gpus_per_node=8
+    - trainer.nnodes=1
+    - trainer.save_freq=20
+    - trainer.test_freq=5
+    - trainer.total_epochs=15
+    - trainer.rollout_data_dir=./outputs/sgrpo_samples
+    - trainer.rollout_data_dump_freq=20
+  job:
+    name: main_sgrpo
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32,actor_rollout_ref.actor.ppo_mini_batch_size=256,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=False,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.n=1,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.prompt_length=1536,actor_rollout_ref.rollout.response_length=512,actor_rollout_ref.rollout.tensor_model_parallel_size=2,algorithm.adv_estimator=sgrpo,algorithm.norm_adv_by_std_in_grpo=False,algorithm.use_kl_in_reward=False,data.filter_overlong_prompts=True,data.max_prompt_length=512,data.max_response_length=1024,data.return_raw_chat=True,data.train_batch_size=1024,data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet,data.truncation=error,data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet,sgrpo.answer_max_tokens=256,sgrpo.force_answer_prompt="Time
+      is limited, stop thinking and start answering.\n</think>\n\n",sgrpo.num_truncations=4,trainer.critic_warmup=0,trainer.experiment_name=qwen3_8b_sgrpo,trainer.logger=["console"],trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=verl_sgrpo_example_gsm8k,trainer.resume_mode=disable,trainer.rollout_data_dir=./outputs/sgrpo_samples,trainer.rollout_data_dump_freq=20,trainer.save_freq=20,trainer.test_freq=5,trainer.total_epochs=15
+    id: ???
+    num: ???
+    config_name: sgrpo_trainer
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/config
+      schema: file
+      provider: main
+    - path: verl.trainer.config
+      schema: pkg
+      provider: verl-trainer-config
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/outputs/2026-01-14/15-16-37
+    choices:
+      algorithm@algorithm.rollout_correction: rollout_correction
+      reward_model: dp_reward_loop
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2026-01-14/15-31-37/.hydra/config.yaml

@@ -0,0 +1,617 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  - wandb
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/15-31-37/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console","wandb"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/15-45-38/.hydra/hydra.yaml

@@ -0,0 +1,218 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - algorithm.adv_estimator=sgrpo
+    - algorithm.norm_adv_by_std_in_grpo=False
+    - algorithm.use_kl_in_reward=False
+    - data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+    - data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+    - data.train_batch_size=1024
+    - data.max_prompt_length=512
+    - data.max_response_length=1024
+    - data.filter_overlong_prompts=True
+    - data.truncation=error
+    - data.return_raw_chat=True
+    - actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    - actor_rollout_ref.actor.optim.lr=1e-6
+    - actor_rollout_ref.model.use_remove_padding=True
+    - actor_rollout_ref.actor.ppo_mini_batch_size=256
+    - actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.actor.use_kl_loss=True
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_type=low_var_kl
+    - actor_rollout_ref.actor.entropy_coeff=0
+    - actor_rollout_ref.model.enable_gradient_checkpointing=True
+    - actor_rollout_ref.actor.fsdp_config.param_offload=False
+    - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+    - 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=vllm
+    - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+    - actor_rollout_ref.rollout.n=1
+    - actor_rollout_ref.rollout.prompt_length=1536
+    - actor_rollout_ref.rollout.response_length=512
+    - actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.ref.fsdp_config.param_offload=False
+    - sgrpo.num_truncations=4
+    - sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+    - sgrpo.answer_max_tokens=256
+    - trainer.critic_warmup=0
+    - trainer.logger=["console"]
+    - trainer.project_name=verl_sgrpo_example_gsm8k
+    - trainer.experiment_name=qwen3_8b_sgrpo
+    - trainer.resume_mode=disable
+    - trainer.n_gpus_per_node=8
+    - trainer.nnodes=1
+    - trainer.save_freq=20
+    - trainer.test_freq=5
+    - trainer.total_epochs=15
+    - trainer.rollout_data_dir=./outputs/sgrpo_samples
+    - trainer.rollout_data_dump_freq=20
+  job:
+    name: main_sgrpo
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32,actor_rollout_ref.actor.ppo_mini_batch_size=256,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=False,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.n=1,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.prompt_length=1536,actor_rollout_ref.rollout.response_length=512,actor_rollout_ref.rollout.tensor_model_parallel_size=2,algorithm.adv_estimator=sgrpo,algorithm.norm_adv_by_std_in_grpo=False,algorithm.use_kl_in_reward=False,data.filter_overlong_prompts=True,data.max_prompt_length=512,data.max_response_length=1024,data.return_raw_chat=True,data.train_batch_size=1024,data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet,data.truncation=error,data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet,sgrpo.answer_max_tokens=256,sgrpo.force_answer_prompt="Time
+      is limited, stop thinking and start answering.\n</think>\n\n",sgrpo.num_truncations=4,trainer.critic_warmup=0,trainer.experiment_name=qwen3_8b_sgrpo,trainer.logger=["console"],trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=verl_sgrpo_example_gsm8k,trainer.resume_mode=disable,trainer.rollout_data_dir=./outputs/sgrpo_samples,trainer.rollout_data_dump_freq=20,trainer.save_freq=20,trainer.test_freq=5,trainer.total_epochs=15
+    id: ???
+    num: ???
+    config_name: sgrpo_trainer
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/config
+      schema: file
+      provider: main
+    - path: verl.trainer.config
+      schema: pkg
+      provider: verl-trainer-config
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/outputs/2026-01-14/15-45-38
+    choices:
+      algorithm@algorithm.rollout_correction: rollout_correction
+      reward_model: dp_reward_loop
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2026-01-14/16-00-30/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/16-00-30/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/16-50-33/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/16-54-53/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/17-46-32/.hydra/hydra.yaml

@@ -0,0 +1,218 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - algorithm.adv_estimator=sgrpo
+    - algorithm.norm_adv_by_std_in_grpo=False
+    - algorithm.use_kl_in_reward=False
+    - data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+    - data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+    - data.train_batch_size=1024
+    - data.max_prompt_length=512
+    - data.max_response_length=1024
+    - data.filter_overlong_prompts=True
+    - data.truncation=error
+    - data.return_raw_chat=True
+    - actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    - actor_rollout_ref.actor.optim.lr=1e-6
+    - actor_rollout_ref.model.use_remove_padding=True
+    - actor_rollout_ref.actor.ppo_mini_batch_size=256
+    - actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.actor.use_kl_loss=True
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_type=low_var_kl
+    - actor_rollout_ref.actor.entropy_coeff=0
+    - actor_rollout_ref.model.enable_gradient_checkpointing=True
+    - actor_rollout_ref.actor.fsdp_config.param_offload=False
+    - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+    - 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=vllm
+    - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+    - actor_rollout_ref.rollout.n=1
+    - actor_rollout_ref.rollout.prompt_length=1536
+    - actor_rollout_ref.rollout.response_length=512
+    - actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.ref.fsdp_config.param_offload=False
+    - sgrpo.num_truncations=4
+    - sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+    - sgrpo.answer_max_tokens=256
+    - trainer.critic_warmup=0
+    - trainer.logger=["console"]
+    - trainer.project_name=verl_sgrpo_example_gsm8k
+    - trainer.experiment_name=qwen3_8b_sgrpo
+    - trainer.resume_mode=disable
+    - trainer.n_gpus_per_node=8
+    - trainer.nnodes=1
+    - trainer.save_freq=20
+    - trainer.test_freq=5
+    - trainer.total_epochs=15
+    - trainer.rollout_data_dir=./outputs/sgrpo_samples
+    - trainer.rollout_data_dump_freq=20
+  job:
+    name: main_sgrpo
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32,actor_rollout_ref.actor.ppo_mini_batch_size=256,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=False,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.n=1,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.prompt_length=1536,actor_rollout_ref.rollout.response_length=512,actor_rollout_ref.rollout.tensor_model_parallel_size=2,algorithm.adv_estimator=sgrpo,algorithm.norm_adv_by_std_in_grpo=False,algorithm.use_kl_in_reward=False,data.filter_overlong_prompts=True,data.max_prompt_length=512,data.max_response_length=1024,data.return_raw_chat=True,data.train_batch_size=1024,data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet,data.truncation=error,data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet,sgrpo.answer_max_tokens=256,sgrpo.force_answer_prompt="Time
+      is limited, stop thinking and start answering.\n</think>\n\n",sgrpo.num_truncations=4,trainer.critic_warmup=0,trainer.experiment_name=qwen3_8b_sgrpo,trainer.logger=["console"],trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=verl_sgrpo_example_gsm8k,trainer.resume_mode=disable,trainer.rollout_data_dir=./outputs/sgrpo_samples,trainer.rollout_data_dump_freq=20,trainer.save_freq=20,trainer.test_freq=5,trainer.total_epochs=15
+    id: ???
+    num: ???
+    config_name: sgrpo_trainer
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/config
+      schema: file
+      provider: main
+    - path: verl.trainer.config
+      schema: pkg
+      provider: verl-trainer-config
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/outputs/2026-01-14/17-46-32
+    choices:
+      algorithm@algorithm.rollout_correction: rollout_correction
+      reward_model: dp_reward_loop
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2026-01-14/17-46-32/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/19-57-10/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/19-57-55/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20

outputs/2026-01-14/20-02-28/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/20-19-23/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/20-27-06/.hydra/hydra.yaml

@@ -0,0 +1,218 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - algorithm.adv_estimator=sgrpo
+    - algorithm.norm_adv_by_std_in_grpo=False
+    - algorithm.use_kl_in_reward=False
+    - data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+    - data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+    - data.train_batch_size=1024
+    - data.max_prompt_length=512
+    - data.max_response_length=1024
+    - data.filter_overlong_prompts=True
+    - data.truncation=error
+    - data.return_raw_chat=True
+    - actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    - actor_rollout_ref.actor.optim.lr=1e-6
+    - actor_rollout_ref.model.use_remove_padding=True
+    - actor_rollout_ref.actor.ppo_mini_batch_size=256
+    - actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.actor.use_kl_loss=True
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_type=low_var_kl
+    - actor_rollout_ref.actor.entropy_coeff=0
+    - actor_rollout_ref.model.enable_gradient_checkpointing=True
+    - actor_rollout_ref.actor.fsdp_config.param_offload=False
+    - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+    - 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=vllm
+    - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+    - actor_rollout_ref.rollout.n=1
+    - actor_rollout_ref.rollout.prompt_length=1536
+    - actor_rollout_ref.rollout.response_length=512
+    - actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.ref.fsdp_config.param_offload=False
+    - sgrpo.num_truncations=4
+    - sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+    - sgrpo.answer_max_tokens=256
+    - trainer.critic_warmup=0
+    - trainer.logger=["console"]
+    - trainer.project_name=verl_sgrpo_example_gsm8k
+    - trainer.experiment_name=qwen3_8b_sgrpo
+    - trainer.resume_mode=disable
+    - trainer.n_gpus_per_node=8
+    - trainer.nnodes=1
+    - trainer.save_freq=20
+    - trainer.test_freq=5
+    - trainer.total_epochs=15
+    - trainer.rollout_data_dir=./outputs/sgrpo_samples
+    - trainer.rollout_data_dump_freq=20
+  job:
+    name: main_sgrpo
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32,actor_rollout_ref.actor.ppo_mini_batch_size=256,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=False,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.n=1,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.prompt_length=1536,actor_rollout_ref.rollout.response_length=512,actor_rollout_ref.rollout.tensor_model_parallel_size=2,algorithm.adv_estimator=sgrpo,algorithm.norm_adv_by_std_in_grpo=False,algorithm.use_kl_in_reward=False,data.filter_overlong_prompts=True,data.max_prompt_length=512,data.max_response_length=1024,data.return_raw_chat=True,data.train_batch_size=1024,data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet,data.truncation=error,data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet,sgrpo.answer_max_tokens=256,sgrpo.force_answer_prompt="Time
+      is limited, stop thinking and start answering.\n</think>\n\n",sgrpo.num_truncations=4,trainer.critic_warmup=0,trainer.experiment_name=qwen3_8b_sgrpo,trainer.logger=["console"],trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=verl_sgrpo_example_gsm8k,trainer.resume_mode=disable,trainer.rollout_data_dir=./outputs/sgrpo_samples,trainer.rollout_data_dump_freq=20,trainer.save_freq=20,trainer.test_freq=5,trainer.total_epochs=15
+    id: ???
+    num: ???
+    config_name: sgrpo_trainer
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/config
+      schema: file
+      provider: main
+    - path: verl.trainer.config
+      schema: pkg
+      provider: verl-trainer-config
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/outputs/2026-01-14/20-27-06
+    choices:
+      algorithm@algorithm.rollout_correction: rollout_correction
+      reward_model: dp_reward_loop
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2026-01-14/20-54-11/.hydra/hydra.yaml

@@ -0,0 +1,218 @@
+hydra:
+  run:
+    dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - algorithm.adv_estimator=sgrpo
+    - algorithm.norm_adv_by_std_in_grpo=False
+    - algorithm.use_kl_in_reward=False
+    - data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+    - data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+    - data.train_batch_size=1024
+    - data.max_prompt_length=512
+    - data.max_response_length=1024
+    - data.filter_overlong_prompts=True
+    - data.truncation=error
+    - data.return_raw_chat=True
+    - actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    - actor_rollout_ref.actor.optim.lr=1e-6
+    - actor_rollout_ref.model.use_remove_padding=True
+    - actor_rollout_ref.actor.ppo_mini_batch_size=256
+    - actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.actor.use_kl_loss=True
+    - actor_rollout_ref.actor.kl_loss_coef=0.001
+    - actor_rollout_ref.actor.kl_loss_type=low_var_kl
+    - actor_rollout_ref.actor.entropy_coeff=0
+    - actor_rollout_ref.model.enable_gradient_checkpointing=True
+    - actor_rollout_ref.actor.fsdp_config.param_offload=False
+    - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+    - 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=vllm
+    - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+    - actor_rollout_ref.rollout.n=1
+    - actor_rollout_ref.rollout.prompt_length=1536
+    - actor_rollout_ref.rollout.response_length=512
+    - actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+    - actor_rollout_ref.ref.fsdp_config.param_offload=False
+    - sgrpo.num_truncations=4
+    - sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+    - sgrpo.answer_max_tokens=256
+    - trainer.critic_warmup=0
+    - trainer.logger=["console"]
+    - trainer.project_name=verl_sgrpo_example_gsm8k
+    - trainer.experiment_name=qwen3_8b_sgrpo
+    - trainer.resume_mode=disable
+    - trainer.n_gpus_per_node=8
+    - trainer.nnodes=1
+    - trainer.save_freq=20
+    - trainer.test_freq=5
+    - trainer.total_epochs=15
+    - trainer.rollout_data_dir=./outputs/sgrpo_samples
+    - trainer.rollout_data_dump_freq=20
+  job:
+    name: main_sgrpo
+    chdir: null
+    override_dirname: actor_rollout_ref.actor.entropy_coeff=0,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.001,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32,actor_rollout_ref.actor.ppo_mini_batch_size=256,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=False,actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=32,actor_rollout_ref.rollout.n=1,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.prompt_length=1536,actor_rollout_ref.rollout.response_length=512,actor_rollout_ref.rollout.tensor_model_parallel_size=2,algorithm.adv_estimator=sgrpo,algorithm.norm_adv_by_std_in_grpo=False,algorithm.use_kl_in_reward=False,data.filter_overlong_prompts=True,data.max_prompt_length=512,data.max_response_length=1024,data.return_raw_chat=True,data.train_batch_size=1024,data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet,data.truncation=error,data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet,sgrpo.answer_max_tokens=256,sgrpo.force_answer_prompt="Time
+      is limited, stop thinking and start answering.\n</think>\n\n",sgrpo.num_truncations=4,trainer.critic_warmup=0,trainer.experiment_name=qwen3_8b_sgrpo,trainer.logger=["console"],trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=verl_sgrpo_example_gsm8k,trainer.resume_mode=disable,trainer.rollout_data_dir=./outputs/sgrpo_samples,trainer.rollout_data_dump_freq=20,trainer.save_freq=20,trainer.test_freq=5,trainer.total_epochs=15
+    id: ???
+    num: ???
+    config_name: sgrpo_trainer
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/config
+      schema: file
+      provider: main
+    - path: verl.trainer.config
+      schema: pkg
+      provider: verl-trainer-config
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/outputs/2026-01-14/20-54-11
+    choices:
+      algorithm@algorithm.rollout_correction: rollout_correction
+      reward_model: dp_reward_loop
+      critic: dp_critic
+      critic/../engine@critic.model.fsdp_config: fsdp
+      critic/../optim@critic.optim: fsdp
+      model@actor_rollout_ref.model: hf_model
+      rollout@actor_rollout_ref.rollout: rollout
+      ref@actor_rollout_ref.ref: dp_ref
+      ref/../engine@actor_rollout_ref.ref.fsdp_config: fsdp
+      data: legacy_data
+      actor@actor_rollout_ref.actor: dp_actor
+      actor/../engine@actor_rollout_ref.actor.fsdp_config: fsdp
+      actor/../optim@actor_rollout_ref.actor.optim: fsdp
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

outputs/2026-01-14/21-01-00/.hydra/config.yaml

@@ -0,0 +1,616 @@
+actor_rollout_ref:
+  actor:
+    optim:
+      _target_: verl.workers.config.FSDPOptimizerConfig
+      optimizer: AdamW
+      optimizer_impl: torch.optim
+      lr: 1.0e-06
+      lr_warmup_steps_ratio: 0.0
+      total_training_steps: -1
+      weight_decay: 0.01
+      lr_warmup_steps: -1
+      betas:
+      - 0.9
+      - 0.999
+      clip_grad: 1.0
+      min_lr_ratio: 0.0
+      num_cycles: 0.5
+      lr_scheduler_type: constant
+      warmup_style: null
+      override_optimizer_config: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: fsdp
+    ppo_mini_batch_size: 256
+    ppo_micro_batch_size: null
+    ppo_micro_batch_size_per_gpu: 32
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    clip_ratio: 0.2
+    clip_ratio_low: 0.2
+    clip_ratio_high: 0.2
+    freeze_vision_tower: false
+    policy_loss:
+      _target_: verl.workers.config.PolicyLossConfig
+      loss_mode: vanilla
+      clip_cov_ratio: 0.0002
+      clip_cov_lb: 1.0
+      clip_cov_ub: 5.0
+      kl_cov_ratio: 0.0002
+      ppo_kl_coef: 0.1
+    clip_ratio_c: 3.0
+    loss_agg_mode: token-mean
+    loss_scale_factor: null
+    entropy_coeff: 0
+    calculate_entropy: false
+    use_kl_loss: true
+    use_torch_compile: true
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    checkpoint:
+      _target_: verl.trainer.config.CheckpointConfig
+      save_contents:
+      - model
+      - optimizer
+      - extra
+      load_contents: ${.save_contents}
+      async_save: false
+    use_fused_kernels: ${oc.select:actor_rollout_ref.model.use_fused_kernels,false}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    grad_clip: 1.0
+    ulysses_sequence_parallel_size: 1
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+    use_remove_padding: ${oc.select:actor_rollout_ref.model.use_remove_padding,false}
+  ref:
+    rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+    strategy: ${actor_rollout_ref.actor.strategy}
+    use_torch_compile: ${oc.select:actor_rollout_ref.actor.use_torch_compile,true}
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: false
+      all_ranks: false
+      ranks: []
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config:
+        nsys:
+          _target_: verl.utils.profiler.config.NsightToolConfig
+          discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+        npu:
+          _target_: verl.utils.profiler.config.NPUToolConfig
+          contents: []
+          level: level1
+          analysis: true
+          discrete: false
+        torch:
+          _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+          step_start: 0
+          step_end: null
+        torch_memory:
+          _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+          trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+          stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+    router_replay:
+      _target_: verl.workers.config.RouterReplayConfig
+      mode: disabled
+      record_file: null
+      replay_file: null
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: true
+      strategy: fsdp
+      dtype: bfloat16
+    _target_: verl.workers.config.FSDPActorConfig
+    ulysses_sequence_parallel_size: ${oc.select:actor_rollout_ref.actor.ulysses_sequence_parallel_size,1}
+    entropy_from_logits_with_chunking: false
+    entropy_checkpointing: false
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: vllm
+    mode: async
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 1536
+    response_length: 512
+    dtype: bfloat16
+    gpu_memory_utilization: 0.6
+    ignore_eos: false
+    enforce_eager: false
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    tensor_model_parallel_size: 2
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    pipeline_model_parallel_size: 1
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    load_format: dummy
+    log_prob_micro_batch_size: null
+    log_prob_micro_batch_size_per_gpu: 32
+    log_prob_use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+    log_prob_max_token_len_per_gpu: ${oc.select:actor_rollout_ref.actor.ppo_max_token_len_per_gpu,16384}
+    disable_log_stats: true
+    do_sample: true
+    'n': 1
+    over_sample_rate: 0
+    multi_stage_wake_up: false
+    engine_kwargs:
+      vllm: {}
+      sglang: {}
+    val_kwargs:
+      _target_: verl.workers.config.SamplingConfig
+      top_k: -1
+      top_p: 1.0
+      temperature: 0
+      'n': 1
+      do_sample: false
+    multi_turn:
+      _target_: verl.workers.config.MultiTurnConfig
+      enable: false
+      max_assistant_turns: null
+      tool_config_path: null
+      max_user_turns: null
+      max_parallel_calls: 1
+      max_tool_response_length: 256
+      tool_response_truncate_side: middle
+      interaction_config_path: null
+      use_inference_chat_template: false
+      tokenization_sanity_check_mode: strict
+      format: hermes
+      num_repeat_rollouts: null
+    calculate_log_probs: false
+    agent:
+      _target_: verl.workers.config.AgentLoopConfig
+      num_workers: 8
+      default_agent_loop: single_turn_agent
+      agent_loop_config_path: null
+      custom_async_server:
+        _target_: verl.workers.config.CustomAsyncServerConfig
+        path: null
+        name: null
+    update_weights_bucket_megabytes: 512
+    trace:
+      _target_: verl.workers.config.TraceConfig
+      backend: null
+      token2text: false
+      max_samples_per_step_per_worker: null
+    skip_rollout: false
+    skip_dump_dir: /tmp/rollout_dump
+    skip_tokenizer_init: true
+    enable_rollout_routing_replay: false
+    profiler:
+      _target_: verl.utils.profiler.ProfilerConfig
+      tool: ${oc.select:global_profiler.tool,null}
+      enable: ${oc.select:actor_rollout_ref.actor.profiler.enable,false}
+      all_ranks: ${oc.select:actor_rollout_ref.actor.profiler.all_ranks,false}
+      ranks: ${oc.select:actor_rollout_ref.actor.profiler.ranks,[]}
+      save_path: ${oc.select:global_profiler.save_path,null}
+      tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+    prometheus:
+      _target_: verl.workers.config.PrometheusConfig
+      enable: false
+      port: 9090
+      file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
+      served_model_name: ${oc.select:actor_rollout_ref.model.path,null}
+    layered_summon: false
+  model:
+    _target_: verl.workers.config.HFModelConfig
+    path: /mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+    hf_config_path: null
+    tokenizer_path: null
+    use_shm: false
+    trust_remote_code: false
+    custom_chat_template: null
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: true
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+    exclude_modules: null
+    lora_adapter_path: null
+    use_liger: false
+    use_fused_kernels: false
+    fused_kernel_options:
+      impl_backend: torch
+  hybrid_engine: true
+  nccl_timeout: 600
+data:
+  tokenizer: null
+  use_shm: false
+  train_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+  val_files: /mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+  train_max_samples: -1
+  val_max_samples: -1
+  prompt_key: prompt
+  reward_fn_key: data_source
+  max_prompt_length: 512
+  max_response_length: 1024
+  train_batch_size: 1024
+  val_batch_size: null
+  tool_config_path: ${oc.select:actor_rollout_ref.rollout.multi_turn.tool_config_path,
+    null}
+  return_raw_input_ids: false
+  return_raw_chat: true
+  return_full_prompt: false
+  shuffle: true
+  seed: null
+  dataloader_num_workers: 8
+  image_patch_size: 14
+  validation_shuffle: false
+  filter_overlong_prompts: true
+  filter_overlong_prompts_workers: 1
+  truncation: error
+  image_key: images
+  video_key: videos
+  trust_remote_code: false
+  custom_cls:
+    path: null
+    name: null
+  return_multi_modal_inputs: true
+  sampler:
+    class_path: null
+    class_name: null
+  datagen:
+    path: null
+    name: null
+  apply_chat_template_kwargs: {}
+reward_manager:
+  _target_: verl.trainer.config.config.RewardManagerConfig
+  source: register
+  name: ${oc.select:reward_model.reward_manager,naive}
+  module:
+    _target_: verl.trainer.config.config.ModuleConfig
+    path: null
+    name: custom_reward_manager
+critic:
+  optim:
+    _target_: verl.workers.config.FSDPOptimizerConfig
+    optimizer: AdamW
+    optimizer_impl: torch.optim
+    lr: 1.0e-05
+    lr_warmup_steps_ratio: 0.0
+    total_training_steps: -1
+    weight_decay: 0.01
+    lr_warmup_steps: -1
+    betas:
+    - 0.9
+    - 0.999
+    clip_grad: 1.0
+    min_lr_ratio: 0.0
+    num_cycles: 0.5
+    lr_scheduler_type: constant
+    warmup_style: null
+    override_optimizer_config: null
+  model:
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      offload_policy: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+      model_dtype: fp32
+      use_orig_params: false
+      seed: 42
+      full_determinism: false
+      ulysses_sequence_parallel_size: 1
+      entropy_from_logits_with_chunking: false
+      use_torch_compile: true
+      entropy_checkpointing: false
+      forward_only: false
+      strategy: fsdp
+      dtype: bfloat16
+    path: ~/models/deepseek-llm-7b-chat
+    tokenizer_path: ${oc.select:actor_rollout_ref.model.path,"~/models/deepseek-llm-7b-chat"}
+    override_config: {}
+    external_lib: ${oc.select:actor_rollout_ref.model.external_lib,null}
+    trust_remote_code: ${oc.select:actor_rollout_ref.model.trust_remote_code,false}
+    _target_: verl.workers.config.FSDPCriticModelCfg
+    use_shm: false
+    enable_gradient_checkpointing: true
+    enable_activation_offload: false
+    use_remove_padding: false
+    lora_rank: 0
+    lora_alpha: 16
+    target_modules: all-linear
+  _target_: verl.workers.config.FSDPCriticConfig
+  rollout_n: ${oc.select:actor_rollout_ref.rollout.n,1}
+  strategy: fsdp
+  enable: null
+  ppo_mini_batch_size: ${oc.select:actor_rollout_ref.actor.ppo_mini_batch_size,256}
+  ppo_micro_batch_size: null
+  ppo_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size,null}
+  use_dynamic_bsz: ${oc.select:actor_rollout_ref.actor.use_dynamic_bsz,false}
+  ppo_max_token_len_per_gpu: 32768
+  forward_max_token_len_per_gpu: ${.ppo_max_token_len_per_gpu}
+  ppo_epochs: ${oc.select:actor_rollout_ref.actor.ppo_epochs,1}
+  shuffle: ${oc.select:actor_rollout_ref.actor.shuffle,false}
+  cliprange_value: 0.5
+  loss_agg_mode: ${oc.select:actor_rollout_ref.actor.loss_agg_mode,token-mean}
+  checkpoint:
+    _target_: verl.trainer.config.CheckpointConfig
+    save_contents:
+    - model
+    - optimizer
+    - extra
+    load_contents: ${.save_contents}
+    async_save: false
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config:
+      nsys:
+        _target_: verl.utils.profiler.config.NsightToolConfig
+        discrete: ${oc.select:global_profiler.global_tool_config.nsys.discrete}
+      npu:
+        _target_: verl.utils.profiler.config.NPUToolConfig
+        contents: []
+        level: level1
+        analysis: true
+        discrete: false
+      torch:
+        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+        step_start: 0
+        step_end: null
+      torch_memory:
+        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+        trace_alloc_max_entries: ${oc.select:global_profiler.global_tool_config.torch_memory.trace_alloc_max_entries,100000}
+        stack_depth: ${oc.select:global_profiler.global_tool_config.torch_memory.stack_depth,32}
+  forward_micro_batch_size: ${oc.select:.ppo_micro_batch_size,null}
+  forward_micro_batch_size_per_gpu: ${oc.select:.ppo_micro_batch_size_per_gpu,null}
+  ulysses_sequence_parallel_size: 1
+  grad_clip: 1.0
+reward_model:
+  enable: false
+  enable_resource_pool: false
+  n_gpus_per_node: 0
+  nnodes: 0
+  strategy: fsdp
+  model:
+    input_tokenizer: ${actor_rollout_ref.model.path}
+    path: ~/models/FsfairX-LLaMA3-RM-v0.1
+    external_lib: ${actor_rollout_ref.model.external_lib}
+    trust_remote_code: false
+    override_config: {}
+    use_shm: false
+    use_remove_padding: false
+    use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
+    fsdp_config:
+      _target_: verl.workers.config.FSDPEngineConfig
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      reshard_after_forward: true
+      fsdp_size: -1
+      forward_prefetch: false
+  micro_batch_size: null
+  micro_batch_size_per_gpu: null
+  max_length: null
+  use_dynamic_bsz: ${critic.use_dynamic_bsz}
+  forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
+  reward_manager: naive
+  launch_reward_fn_async: false
+  sandbox_fusion:
+    url: null
+    max_concurrent: 64
+    memory_limit_mb: 1024
+  profiler:
+    _target_: verl.utils.profiler.ProfilerConfig
+    tool: ${oc.select:global_profiler.tool,null}
+    enable: false
+    all_ranks: false
+    ranks: []
+    save_path: ${oc.select:global_profiler.save_path,null}
+    tool_config: ${oc.select:actor_rollout_ref.actor.profiler.tool_config,null}
+  ulysses_sequence_parallel_size: 1
+  use_reward_loop: true
+  rollout:
+    _target_: verl.workers.config.RolloutConfig
+    name: ???
+    dtype: bfloat16
+    gpu_memory_utilization: 0.5
+    enforce_eager: true
+    cudagraph_capture_sizes: null
+    free_cache_engine: true
+    data_parallel_size: 1
+    expert_parallel_size: 1
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_model_len: null
+    max_num_seqs: 1024
+    load_format: auto
+    engine_kwargs: {}
+    limit_images: null
+    enable_chunked_prefill: true
+    enable_prefix_caching: true
+    disable_log_stats: true
+    skip_tokenizer_init: true
+    prompt_length: 512
+    response_length: 512
+algorithm:
+  rollout_correction:
+    rollout_is: null
+    rollout_is_threshold: 2.0
+    rollout_rs: null
+    rollout_rs_threshold: null
+    rollout_rs_threshold_lower: null
+    rollout_token_veto_threshold: null
+    bypass_mode: false
+    use_policy_gradient: false
+    rollout_is_batch_normalize: false
+  _target_: verl.trainer.config.AlgoConfig
+  gamma: 1.0
+  lam: 1.0
+  adv_estimator: sgrpo
+  norm_adv_by_std_in_grpo: false
+  use_kl_in_reward: false
+  kl_penalty: kl
+  kl_ctrl:
+    _target_: verl.trainer.config.KLControlConfig
+    type: fixed
+    kl_coef: 0.001
+    horizon: 10000
+    target_kl: 0.1
+  use_pf_ppo: false
+  pf_ppo:
+    reweight_method: pow
+    weight_pow: 2.0
+sgrpo:
+  num_truncations: 4
+  force_answer_prompt: Time is limited, stop thinking and start answering.\n</think>\n\n
+  answer_max_tokens: 256
+  min_truncation_ratio: 0.1
+  max_truncation_ratio: 0.9
+custom_reward_function:
+  path: null
+  name: compute_score
+trainer:
+  balance_batch: true
+  total_epochs: 15
+  total_training_steps: null
+  project_name: verl_sgrpo_example_gsm8k
+  experiment_name: qwen3_8b_sgrpo
+  logger:
+  - console
+  log_val_generations: 0
+  rollout_data_dir: ./outputs/sgrpo_samples
+  rollout_data_dump_freq: 20
+  validation_data_dir: null
+  nnodes: 1
+  n_gpus_per_node: 8
+  save_freq: 20
+  esi_redundant_time: 0
+  resume_mode: disable
+  resume_from_path: null
+  val_before_train: true
+  val_only: false
+  test_freq: 5
+  critic_warmup: 0
+  default_hdfs_dir: null
+  del_local_ckpt_after_load: false
+  default_local_dir: checkpoints/${trainer.project_name}/${trainer.experiment_name}
+  max_actor_ckpt_to_keep: null
+  max_critic_ckpt_to_keep: null
+  ray_wait_register_center_timeout: 300
+  device: cuda
+  use_legacy_worker_impl: auto
+global_profiler:
+  _target_: verl.utils.profiler.ProfilerConfig
+  tool: null
+  steps: null
+  profile_continuous_steps: false
+  save_path: outputs/profile
+  global_tool_config:
+    nsys:
+      _target_: verl.utils.profiler.config.NsightToolConfig
+      discrete: false
+      controller_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+      worker_nsight_options:
+        trace: cuda,nvtx,cublas,ucx
+        cuda-memory-usage: 'true'
+        cuda-graph-trace: graph
+        capture-range: cudaProfilerApi
+        capture-range-end: null
+        kill: none
+    torch_memory:
+      trace_alloc_max_entries: 100000
+      stack_depth: 32
+      context: all
+      stacks: all
+      kw_args: {}
+transfer_queue:
+  enable: false
+ray_kwargs:
+  ray_init:
+    num_cpus: null
+  timeline_json_file: null

outputs/2026-01-14/21-41-16/.hydra/overrides.yaml

@@ -0,0 +1,47 @@
+- algorithm.adv_estimator=sgrpo
+- algorithm.norm_adv_by_std_in_grpo=False
+- algorithm.use_kl_in_reward=False
+- data.train_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/train.parquet
+- data.val_files=/mnt/tidal-alsh01/usr/zhangruiqi1/my/verl/sgrpo/data/gsm8k/test.parquet
+- data.train_batch_size=1024
+- data.max_prompt_length=512
+- data.max_response_length=1024
+- data.filter_overlong_prompts=True
+- data.truncation=error
+- data.return_raw_chat=True
+- actor_rollout_ref.model.path=/mnt/tidal-alsh01/dataset/redtrans/zhangruiqi/models/Qwen3-4B
+- actor_rollout_ref.actor.optim.lr=1e-6
+- actor_rollout_ref.model.use_remove_padding=True
+- actor_rollout_ref.actor.ppo_mini_batch_size=256
+- actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=32
+- actor_rollout_ref.actor.use_kl_loss=True
+- actor_rollout_ref.actor.kl_loss_coef=0.001
+- actor_rollout_ref.actor.kl_loss_type=low_var_kl
+- actor_rollout_ref.actor.entropy_coeff=0
+- actor_rollout_ref.model.enable_gradient_checkpointing=True
+- actor_rollout_ref.actor.fsdp_config.param_offload=False
+- actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
+- 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=vllm
+- actor_rollout_ref.rollout.gpu_memory_utilization=0.6
+- actor_rollout_ref.rollout.n=1
+- actor_rollout_ref.rollout.prompt_length=1536
+- actor_rollout_ref.rollout.response_length=512
+- actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=32
+- actor_rollout_ref.ref.fsdp_config.param_offload=False
+- sgrpo.num_truncations=4
+- sgrpo.force_answer_prompt="Time is limited, stop thinking and start answering.\n</think>\n\n"
+- sgrpo.answer_max_tokens=256
+- trainer.critic_warmup=0
+- trainer.logger=["console"]
+- trainer.project_name=verl_sgrpo_example_gsm8k
+- trainer.experiment_name=qwen3_8b_sgrpo
+- trainer.resume_mode=disable
+- trainer.n_gpus_per_node=8
+- trainer.nnodes=1
+- trainer.save_freq=20
+- trainer.test_freq=5
+- trainer.total_epochs=15
+- trainer.rollout_data_dir=./outputs/sgrpo_samples
+- trainer.rollout_data_dump_freq=20