Datasets:

zzhowe1207
/

tet-rl

data:
  train_files: hiyouga/math12k@train
  val_files: hiyouga/math12k@test
  prompt_key: problem
  answer_key: answer
  image_key: images
  video_key: videos
  image_dir: null
  video_fps: 2.0
  max_prompt_length: 2048
  max_response_length: 2048
  rollout_batch_size: 512  # equivalent to verl's data.train_batch_size
  mini_rollout_batch_size: null  # equivalent to verl's data.gen_batch_size
  val_batch_size: 1024
  format_prompt: ./examples/format_prompt/math.jinja
  override_chat_template: null
  shuffle: true
  seed: 1
  min_pixels: 262144
  max_pixels: 4194304
  filter_overlong_prompts: true

algorithm:
  adv_estimator: grpo
  disable_kl: false
  use_kl_loss: true
  kl_penalty: low_var_kl
  kl_coef: 1.0e-2
  online_filtering: false  # dapo filter groups
  filter_key: overall
  filter_low: 0.01
  filter_high: 0.99

worker:
  actor:
    global_batch_size: 128  # equivalent to verl's actor.ppo_mini_batch_size
    micro_batch_size_per_device_for_update: 4  # equivalent to verl's actor.ppo_micro_batch_size_per_gpu
    micro_batch_size_per_device_for_experience: 16  # equivalent to verl's rollout.log_prob_micro_batch_size_per_gpu
    max_grad_norm: 1.0
    padding_free: true
    dynamic_batching: true
    ulysses_size: 1
    model:
      model_path: Qwen/Qwen2.5-7B-Instruct
      enable_gradient_checkpointing: true
      trust_remote_code: false
      freeze_vision_tower: false
    optim:
      lr: 1.0e-6
      weight_decay: 1.0e-2
      strategy: adamw  # {adamw, adamw_bf16}
      lr_warmup_ratio: 0.0
    fsdp:
      enable_full_shard: true
      enable_cpu_offload: false
      enable_rank0_init: true
    offload:
      offload_params: true  # true: more CPU memory; false: more GPU memory
      offload_optimizer: true  # true: more CPU memory; false: more GPU memory

  rollout:
    n: 5
    temperature: 1.0
    top_p: 1.0
    limit_images: 0
    gpu_memory_utilization: 0.6
    enforce_eager: false
    enable_chunked_prefill: false
    tensor_parallel_size: 2
    disable_tqdm: false
    val_override_config:
      temperature: 0.6
      top_p: 0.95
      n: 1

  ref:
    fsdp:
      enable_full_shard: true
      enable_cpu_offload: true  # true: more CPU memory; false: more GPU memory
      enable_rank0_init: true
    offload:
      offload_params: false

  reward:
    reward_type: batch
    reward_function: ./examples/reward_function/math.py:compute_score

trainer:
  total_epochs: 15
  max_steps: null
  project_name: easy_r1
  experiment_name: qwen2_5_7b_math_grpo
  logger: ["console", "wandb"]
  nnodes: 1
  n_gpus_per_node: 8
  max_try_make_batch: 20  # -1 means no limit
  val_freq: 5  # -1 to disable
  val_before_train: true
  val_only: false
  val_generations_to_log: 3
  save_freq: 5  # -1 to disable
  save_limit: 3  # -1 to disable
  save_model_only: false
  save_checkpoint_path: null
  load_checkpoint_path: null
  find_last_checkpoint: true

	data:
	train_files: hiyouga/math12k@train
	val_files: hiyouga/math12k@test
	prompt_key: problem
	answer_key: answer
	image_key: images
	video_key: videos
	image_dir: null
	video_fps: 2.0
	max_prompt_length: 2048
	max_response_length: 2048
	rollout_batch_size: 512 # equivalent to verl's data.train_batch_size
	mini_rollout_batch_size: null # equivalent to verl's data.gen_batch_size
	val_batch_size: 1024
	format_prompt: ./examples/format_prompt/math.jinja
	override_chat_template: null
	shuffle: true
	seed: 1
	min_pixels: 262144
	max_pixels: 4194304
	filter_overlong_prompts: true

	algorithm:
	adv_estimator: grpo
	disable_kl: false
	use_kl_loss: true
	kl_penalty: low_var_kl
	kl_coef: 1.0e-2
	online_filtering: false # dapo filter groups
	filter_key: overall
	filter_low: 0.01
	filter_high: 0.99

	worker:
	actor:
	global_batch_size: 128 # equivalent to verl's actor.ppo_mini_batch_size
	micro_batch_size_per_device_for_update: 4 # equivalent to verl's actor.ppo_micro_batch_size_per_gpu
	micro_batch_size_per_device_for_experience: 16 # equivalent to verl's rollout.log_prob_micro_batch_size_per_gpu
	max_grad_norm: 1.0
	padding_free: true
	dynamic_batching: true
	ulysses_size: 1
	model:
	model_path: Qwen/Qwen2.5-7B-Instruct
	enable_gradient_checkpointing: true
	trust_remote_code: false
	freeze_vision_tower: false
	optim:
	lr: 1.0e-6
	weight_decay: 1.0e-2
	strategy: adamw # {adamw, adamw_bf16}
	lr_warmup_ratio: 0.0
	fsdp:
	enable_full_shard: true
	enable_cpu_offload: false
	enable_rank0_init: true
	offload:
	offload_params: true # true: more CPU memory; false: more GPU memory
	offload_optimizer: true # true: more CPU memory; false: more GPU memory

	rollout:
	n: 5
	temperature: 1.0
	top_p: 1.0
	limit_images: 0
	gpu_memory_utilization: 0.6
	enforce_eager: false
	enable_chunked_prefill: false
	tensor_parallel_size: 2
	disable_tqdm: false
	val_override_config:
	temperature: 0.6
	top_p: 0.95
	n: 1

	ref:
	fsdp:
	enable_full_shard: true
	enable_cpu_offload: true # true: more CPU memory; false: more GPU memory
	enable_rank0_init: true
	offload:
	offload_params: false

	reward:
	reward_type: batch
	reward_function: ./examples/reward_function/math.py:compute_score

	trainer:
	total_epochs: 15
	max_steps: null
	project_name: easy_r1
	experiment_name: qwen2_5_7b_math_grpo
	logger: ["console", "wandb"]
	nnodes: 1
	n_gpus_per_node: 8
	max_try_make_batch: 20 # -1 means no limit
	val_freq: 5 # -1 to disable
	val_before_train: true
	val_only: false
	val_generations_to_log: 3
	save_freq: 5 # -1 to disable
	save_limit: 3 # -1 to disable
	save_model_only: false
	save_checkpoint_path: null
	load_checkpoint_path: null
	find_last_checkpoint: true