defaults: - envs - base hydra: searchpath: - pkg://verl.trainer.config system: CUDA_VISIBLE_DEVICES: "0" seed: train: 10000 val: 123 model_path: Qwen/Qwen2.5-3B-Instruct enable_response_mask: True lora: rank: 0 alpha: 64 target_modules: all-linear actor_rollout_ref: model: path: ${model_path} lora_rank: ${lora.rank} lora_alpha: ${lora.alpha} target_modules: ${lora.target_modules} rollout: name: vllm log_prob_micro_batch_size_per_gpu: 64 tensor_model_parallel_size: 1 dtype: bfloat16 max_model_len: 3600 prompt_length: 1 response_length: 400 gpu_memory_utilization: 0.9 max_num_batched_tokens: 8192 enforce_eager: True free_cache_engine: True enable_chunked_prefill: False disable_log_stats: False val_kwargs: do_sample: True temperature: 0.5 top_p: 1.0 top_k: -1 logprobs: 20 # return top20 logprobs agent_proxy: context_window_mode: "full" # "full" | "limited_multi_turn" | "single_turn" max_context_window: -1 max_turn: 5 action_sep: "||" max_actions_per_turn: 2 use_turn_scores: False enable_think: True reward_normalization: grouping: "state" method: "identity" es_manager: format_penalty: -0.1 train: env_groups: 8 group_size: 16 env_configs: tags: ["CoordSokoban"] n_groups: [8] val: env_groups: 32 group_size: 16 env_configs: tags: ["CoordSokoban"] n_groups: [32] ctx_manager: generation: gen_config: response_length: ${actor_rollout_ref.rollout.response_length} temperature: ${actor_rollout_ref.rollout.temperature} top_p: ${actor_rollout_ref.rollout.top_p} top_k: ${actor_rollout_ref.rollout.top_k} kwargs: null output: dir: results/eval filename: val_rollouts.pkl format: pkl # pkl | jsonl append_timestamp: true save_jsonl_backup: false # Save JSONL backup when format=pkl save_pkl_backup: false # Save PKL backup when format=jsonl keep_batch_keys: null keep_non_tensor_keys: null keep_meta_info: true