config.yaml

data:
  tokenizer: null
  train_files: aime24_ds_train_sample.parquet
  val_files: matheval.parquet
  prompt_key: prompt
  reward_fn_key: data_source
  max_prompt_length: 1024
  max_response_length: 3072
  train_batch_size: 256
  val_batch_size: null
  return_raw_input_ids: false
  return_raw_chat: false
  shuffle: true
  filter_overlong_prompts: true
  filter_overlong_prompts_workers: 1
  truncation: error
  image_key: images
  custom_cls:
    path: null
    name: null
actor_rollout_ref:
  hybrid_engine: true
  model:
    path: Qwen/Qwen2.5-Math-1.5B
    external_lib: null
    override_config: {}
    enable_gradient_checkpointing: true
    use_remove_padding: true
    use_liger: false
    save_hf_repo_id: RyanYr/grpo_neg-aime24-qwen2.5math-1.5B-base-mbs128-n4-ref1230-975b46d_actor
    tokenizer_chat_template: null
  actor:
    strategy: fsdp
    ppo_mini_batch_size: 128
    ppo_micro_batch_size: null
    ppo_micro_batch_size_per_gpu: 16
    use_dynamic_bsz: false
    ppo_max_token_len_per_gpu: 16384
    grad_clip: 1.0
    clip_ratio: 0.2
    clip_ratio_low: 0.2
    clip_ratio_high: 0.2
    clip_ratio_c: 3.0
    loss_agg_mode: token-mean
    entropy_coeff: 0
    use_kl_loss: true
    use_torch_compile: true
    kl_loss_coef: 0.001
    kl_loss_type: low_var_kl
    ppo_epochs: 1
    shuffle: false
    ulysses_sequence_parallel_size: 1
    checkpoint:
      contents:
      - model
      - optimizer
      - extra
    optim:
      lr: 1.0e-06
      lr_warmup_steps: -1
      lr_warmup_steps_ratio: 0.0
      min_lr_ratio: null
      warmup_style: constant
      total_training_steps: 2000
      weight_decay: 0.01
    fsdp_config:
      wrap_policy:
        min_num_params: 0
      param_offload: false
      optimizer_offload: false
      fsdp_size: -1
  ref:
    ref_model_path: RyanYr/grpo-aime24-qwen2.5math-1.5B-base-mbs128-n4_actor_1230-975b46d
    strategy: fsdp
    fsdp_config:
      param_offload: false
      wrap_policy:
        min_num_params: 0
    log_prob_micro_batch_size: null
    log_prob_micro_batch_size_per_gpu: 64
    log_prob_use_dynamic_bsz: false
    log_prob_max_token_len_per_gpu: 16384
    ulysses_sequence_parallel_size: 1
  rollout:
    name: vllm
    temperature: 1.0
    top_k: -1
    top_p: 1
    use_fire_sampling: false
    prompt_length: 1024
    response_length: 3072
    dtype: bfloat16
    gpu_memory_utilization: 0.75
    ignore_eos: false
    enforce_eager: false
    free_cache_engine: false
    load_format: dummy_dtensor
    tensor_model_parallel_size: 4
    max_num_batched_tokens: 4096
    max_model_len: null
    max_num_seqs: 1024
    log_prob_micro_batch_size: null
    log_prob_micro_batch_size_per_gpu: 64
    log_prob_use_dynamic_bsz: false
    log_prob_max_token_len_per_gpu: 16384
    disable_log_stats: true
    enable_chunked_prefill: true
    do_sample: true
    'n': 4
    engine_kwargs:
      swap_space: null
    val_kwargs:
      top_k: -1
      top_p: 1.0
      temperature: 0
      'n': 1
      do_sample: false
critic:
  rollout_n: 4
  strategy: fsdp
  optim:
    lr: 1.0e-05
    lr_warmup_steps_ratio: 0.0
    min_lr_ratio: null
    warmup_style: constant
    total_training_steps: 2000
    weight_decay: 0.01
  model:
    path: ~/models/deepseek-llm-7b-chat
    tokenizer_path: Qwen/Qwen2.5-Math-1.5B
    override_config: {}
    external_lib: null
    enable_gradient_checkpointing: true
    use_remove_padding: false
    fsdp_config:
      param_offload: false
      optimizer_offload: false
      wrap_policy:
        min_num_params: 0
      fsdp_size: -1
    save_hf_repo_id: null
  ppo_mini_batch_size: 128
  ppo_micro_batch_size: null
  ppo_micro_batch_size_per_gpu: null
  forward_micro_batch_size: null
  forward_micro_batch_size_per_gpu: null
  use_dynamic_bsz: false
  ppo_max_token_len_per_gpu: 32768
  forward_max_token_len_per_gpu: 32768
  ulysses_sequence_parallel_size: 1
  ppo_epochs: 1
  shuffle: false
  grad_clip: 1.0
  cliprange_value: 0.5
  checkpoint:
    contents:
    - model
    - optimizer
    - extra
reward_model:
  enable: false
  strategy: fsdp
  model:
    input_tokenizer: Qwen/Qwen2.5-Math-1.5B
    path: ~/models/FsfairX-LLaMA3-RM-v0.1
    external_lib: null
    use_remove_padding: false
    fsdp_config:
      wrap_policy:
        min_num_params: 0
      param_offload: false
      fsdp_size: -1
  micro_batch_size: null
  micro_batch_size_per_gpu: null
  max_length: null
  ulysses_sequence_parallel_size: 1
  use_dynamic_bsz: false
  forward_max_token_len_per_gpu: 32768
  reward_manager: prime
custom_reward_function:
  path: null
  name: compute_score
algorithm:
  gamma: 1.0
  lam: 1.0
  adv_estimator: grpo_neg
  use_kl_in_reward: false
  kl_penalty: kl
  kl_ctrl:
    type: fixed
    kl_coef: 0.001
    horizon: 10000
    target_kl: 0.1
trainer:
  balance_batch: true
  total_epochs: 1000000000000
  total_training_steps: 2000
  project_name: value-LLM
  experiment_name: grpo_neg-aime24-qwen2.5math-1.5B-base-mbs128-n4-ref1230-975b46d
  logger:
  - console
  - wandb
  log_val_generations: 0
  nnodes: 1
  n_gpus_per_node: 4
  save_freq: 5
  resume_mode: auto
  resume_from_path: null
  val_before_train: false
  test_freq: -1
  critic_warmup: 0
  default_hdfs_dir: null
  del_local_ckpt_after_load: false
  default_local_dir: checkpoints/value-LLM/grpo_neg-aime24-qwen2.5math-1.5B-base-mbs128-n4-ref1230-975b46d
  max_actor_ckpt_to_keep: 1
  max_critic_ckpt_to_keep: 1
  ray_wait_register_center_timeout: 300
  hf_token: null
  resume_from_hf:
    enable: true
    actor_hf_repo_id: RyanYr/grpo-aime24-qwen2.5math-1.5B-base-mbs128-n4-ref895-82bb89a_actor
    actor_revision: 975b46d1ee3ee658c46b85220a34a95c384f4078
    critic_hf_repo_id: null
    critic_revision: main
    hf_token: null