File size: 3,148 Bytes
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train_files: /mnt/moonfs/kimiv-ksyun/xulin/datasets/OCR-VQA/ocr_vqa_clean_dataset@train
val_files: /mnt/moonfs/kimiv-ksyun/xulin/abs/data/ocr_vqa_val_512.arrow
prompt_key: problem
answer_key: answer
image_key: images
video_key: videos
image_dir: null
video_fps: 2.0
max_prompt_length: 4096
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/ocr_vqa.jinja
override_chat_template: null
shuffle: true
seed: 1
min_pixels: 1000
max_pixels: 1048576
filter_overlong_prompts: false
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: /mnt/moonfs/kimiv-ksyun/xulin/abs/LLaMA-Factory/saves/qwen2_5vl-7b/full/ocr_sft_vit
enable_gradient_checkpointing: true
trust_remote_code: true
freeze_vision_tower: true
freeze_language_backbone: 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: 2
gpu_memory_utilization: 0.4 # 减少GPU内存使用
enforce_eager: true # 启用eager模式，避免内存碎片
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/ocr_vqa.py:compute_score
trainer:
total_epochs: 1
max_steps: 350
project_name: ABS
experiment_name: ocr_llm_vit
logger: ["console", "swanlab"]
nnodes: 1
n_gpus_per_node: 8
max_try_make_batch: 20 # -1 means no limit
val_freq: 20 # -1 to disable
val_before_train: true
val_only: false
val_generations_to_log: 3
save_freq: 50 # -1 to disable
save_limit: 12 # -1 to disable
save_model_only: false
save_checkpoint_path: null
load_checkpoint_path: null
find_last_checkpoint: true
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