# Fully resolved training configuration of this run (saved by the trainer as veomni_cli.yaml).
# Paths replaced by placeholders. World size 4 (4 x A100-PCIE-40GB), gradient accumulation 1.
data:
  chat_template: default
  data_name: null
  data_tag: default
  data_type: plaintext
  dataloader_type: native
  datasets_type: iterable
  drop_last: true
  image_keys: images
  max_seq_len: 4096
  num_workers: 2
  pin_memory: true
  prefetch_factor: 2
  text_keys: text
  train_path: ${OCI_TEXT_DIR}/000,...,${OCI_TEXT_DIR}/049  # the 50 rendered shards in sorted order (train_path.txt written by prepare_opencodeinstruct.py)
  train_size: 1000000000000
model:
  attn_implementation: flash_attention_2
  basic_modules: []
  config_path: fredzzp/open-dcoder-0.5B
  decoders: {}
  encode_target: false
  encoders: {}
  input_encoder: encoder
  model_path: fredzzp/open-dcoder-0.5B
  moe_implementation: null
  output_encoder: decoder
  tokenizer_path: fredzzp/open-dcoder-0.5B
train:
  activation_gpu_limit: 0.0
  auto_resume: true
  bsz_warmup_init_mbtoken: 200
  bsz_warmup_ratio: 0.0
  ckpt_manager: dcp
  clean_token_wt: 0.0
  context_parallel_size: 1
  data_parallel_mode: ddp
  dyn_bsz: true
  dyn_bsz_buffer_size: 100
  dyn_bsz_margin: 0
  empty_cache_steps: 1000
  enable_activation_offload: false
  enable_forward_prefetch: true
  enable_fsdp_offload: false
  enable_full_determinism: false
  enable_full_shard: false
  enable_gradient_checkpointing: false
  enable_manual_eager: false
  enable_masking: true
  enable_mixed_precision: false
  enable_profiling: false
  enable_reentrant: false
  eval_batch_size: 10
  eval_before_train: false
  eval_every: 0
  expert_parallel_size: 1
  freeze_layers: lm_head,embed_tokens
  global_batch_size: 12
  init_device: cuda
  load_checkpoint_path: ''
  lr: 0.0003
  lr_decay_ratio: 1.0
  lr_decay_style: cosine
  lr_min: 3.0e-06
  lr_start: 0.0
  lr_warmup_ratio: 0.001
  max_grad_norm: 1.0
  max_steps: null
  micro_batch_size: 3
  mixture_prob: 0.1
  noise_token_wt: 0.1
  num_train_epochs: 1
  optimizer: adamw
  output_dir: ${OUTPUT_DIR}/open-dcoder-0.5B-oci-cdlm-seed42-step2000  # placeholder
  pipeline_parallel_size: 1
  profile_end_step: 2
  profile_profile_memory: true
  profile_record_shapes: true
  profile_start_step: 1
  profile_trace_dir: ./trace
  profile_with_stack: true
  repr_align_wt: 0.0
  rmpad: false
  rmpad_with_pos_ids: true
  save_epochs: 1
  save_hf_weights: true
  save_steps: 2000
  save_time_interval_minutes: 0
  seed: 42
  tensor_parallel_size: 1
  ulysses_parallel_size: 1
  use_doptim: false
  use_wandb: true
  wandb_entity: ''
  wandb_name: open-dcoder-0.5B-oci-cdlm-seed42-step2000
  wandb_project: Qwen2.5-Coder-0.5B
  weight_decay: 0.01