FlagScale/examples/qwen2_5_vl/conf/train/32b.yaml at 42f45a93f5fa9a56753880d203fedf2abe2d16da · lxd-cumt/FlagScale · GitHub

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system:
  num_workers: 1
  calculate_per_token_loss: true
  tensor_model_parallel_size: 4
  pipeline_model_parallel_size: 4
  context_parallel_size: 1
  decoder_first_pipeline_num_layers: 13 # 13 or pp8: 1
  disable_bias_linear: True
  use_flash_attn: True
  use_distributed_optimizer: True
  sequence_parallel: True
  tp_comm_overlap: False
  overlap_grad_reduce: False
  overlap_param_gather: False
  use_mcore_models: True
  transformer_impl: transformer_engine
  # recompute_method: "uniform"
  # recompute_granularity: "full"
  # recompute_num_layers: 1
  use_te: True
  precision:
    bf16: True
    attention_softmax_in_fp32: False
  logging:
    log_interval: 1
    tensorboard_log_interval: 1
    log_throughput: True
    wandb_project: ${experiment.exp_name}
    wandb_exp_name: ${experiment.exp_name}
    log_params_norm: True
    log_num_zeros_in_grad: True
  checkpoint:
    save_interval: 1000
    pretrained_checkpoint: xxxxx
    dataloader_save: ${experiment.exp_dir}/checkpoints/dataloader
    use_dist_ckpt: False
    ckpt_format: torch
    async_save: False

model:
  attention_backend: flash # auto: nvte_flash_attn
  disable_bias_linear: True
  add_qkv_bias: True
  num_layers: 64
  hidden_size: 5120
  ffn_hidden_size: 27648
  num_attention_heads: 40
  num_query_groups: 8
  seq_length: 15360 # 16384 15360
  max_padding_length: 15360 # real seq_length
  # especial for qwen2.5-vl
  enable_variable_seq_lengths: True
  max_position_embeddings: 128000 # only useful for additional position embedding
  swiglu: True
  normalization: RMSNorm
  norm_epsilon: 1e-6
  init_method_std: 0.02
  attention_dropout: 0.0
  hidden_dropout: 0.0
  clip_grad: 1.0
  train_iters: 15846
  eval_iters: 0
  eval_interval: 1000
  micro_batch_size: 1
  global_batch_size: 256
  allow_missing_vision_projection_checkpoint: False
  apply_layernorm_1p: False
  group_query_attention: True
  no_masked_softmax_fusion: True
  untie_embeddings_and_output_weights: True

  # position embedding
  position_embedding_type: mrope
  rotary_percent: 1.0
  rotary_base: 1000000
  rotary_seq_len_interpolation_factor: 1
  no_rope_fusion: False
  mrope_section: [16, 24, 24]
  eod_mask_loss: False

  # vision model
  freeze_LM: False
  freeze_ViT: False
  disable_vision_class_token: True
  seed: 42

  optimizer:
    weight_decay: 0.1
    adam_beta1: 0.9
    adam_beta2: 0.999
    adam_eps: 1e-8
    lr_scheduler:
      lr: 1.0e-5
      min_lr: 0.0
      lr_warmup_iters: 800
      lr_decay_style: cosine

data:
  data_path: xxxx
  vision_root: xxxx
  dataloader_type: external
  split: 100,0,0
  tokenizer:
    tokenizer_type: Qwen2VLTokenizer
    tokenizer_path: xxxx
    vocab_size: 152064
    extra_vocab_size: 421
    make_vocab_size_divisible_by: 64