model_name: micro-llama-300M-v2
out_dir: out/pretrain/micro-llama-v2
precision: bf16-mixed
initial_checkpoint_dir: /root/litgpt/out_lightning_ai/step-00128000-converted
resume: false
data:
  class_path: litgpt.data.MicroLlama
  init_args:
    data_path: s3://microllama-v2
    seed: 42
    num_workers: 8
train:
  save_interval: 1000
  log_interval: 10
  global_batch_size: 32
  micro_batch_size: 4
  lr_warmup_steps: 2000
  max_tokens: 3000000000000
  max_seq_length: 2048
  max_norm: 1.0
  min_lr: 4.0e-05
eval:
  interval: 1000
  max_iters: 100
  initial_validation: false
  final_validation: true
  evaluate_example: first
optimizer:
  class_path: torch.optim.AdamW
  init_args:
    lr: 0.0004
    weight_decay: 0.1
    betas:
    - 0.9
    - 0.95
devices: auto
num_nodes: 1
tokenizer_dir: checkpoints/meta-llama/Llama-3.2-1B
logger_name: wandb
seed: 42