20B.yml

# DISCLAIMER: This is the configuration file for the GPT-NeoX-20B model as it was trained on 96x 40GB A100
# GPUs. Depending on your system configuration, you may need to change some parameters in order to fit
# the model in memory.

{
  # Tokenizer /  checkpoint settings - you will need to change these to the location you have them saved in
  "vocab-file": "./20B_checkpoints/20B_tokenizer.json",
  "save": "./20B_checkpoints",
  "load": "./20B_checkpoints",

  # If finetuning, edit the following to the location of your finetuning dataset:
  "data-path": "./data/pile_20B_tokenizer/pile_20B_tokenizer_text_document",

  # parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
  # across the node boundaries )
  "pipe-parallel-size": 4,
  "model-parallel-size": 2,

  # model settings
  "num-layers": 44,
  "hidden-size": 6144,
  "num-attention-heads": 64,
  "seq-length": 2048,
  "max-position-embeddings": 2048,
  "norm": "layernorm",
  "pos-emb": "rotary",
  "rotary_pct": 0.25,
  "no-weight-tying": true,
  "gpt_j_residual": true,
  "output_layer_parallelism": "column",
  "scaled-upper-triang-masked-softmax-fusion": true,
  "bias-gelu-fusion": true,

  # init methods
  "init_method": "small_init",
  "output_layer_init_method": "wang_init",

  # optimizer settings
  "optimizer": {
    "type": "Adam",
    "params": {
      "lr": 0.97e-4,
      "betas": [0.9, 0.95],
      "eps": 1.0e-8,
      }
      },

  "min_lr": 0.97e-5,
  "zero_optimization": {
  "stage": 1,
  "allgather_partitions": True,
  "allgather_bucket_size": 1260000000,
  "overlap_comm": True,
  "reduce_scatter": True,
  "reduce_bucket_size": 1260000000,
  "contiguous_gradients": True,
  "cpu_offload": False
  },

  # batch / data settings (assuming 96 GPUs)
  "train_micro_batch_size_per_gpu": 4,
  "gradient_accumulation_steps": 32,
  "data-impl": "mmap",
  "split": "995,4,1",

  # activation checkpointing
  "checkpoint-activations": true,
  "checkpoint-num-layers": 1,
  "partition-activations": false,
  "synchronize-each-layer": true,

  # regularization
  "gradient_clipping": 1.0,
  "weight-decay": 0.01,
  "hidden-dropout": 0,
  "attention-dropout": 0,

  # precision settings
  "fp16": {
    "fp16": true,
    "enabled": true,
    "loss_scale": 0,
    "loss_scale_window": 1000,
    "initial_scale_power": 12,
    "hysteresis": 2,
    "min_loss_scale": 1
    },

  # misc. training settings
  "train-iters": 150000,
  "lr-decay-iters": 150000,

  "distributed-backend": "nccl",
  "lr-decay-style": "cosine",
  "warmup": 0.01,
  "save-interval": 500,
  "eval-interval": 1000,
  "eval-iters": 10,

  # logging
  "log-interval": 2,
  "steps_per_print": 2,
  "wall_clock_breakdown": false,

  ### NEW DATA: ####
  "tokenizer_type": "HFTokenizer",
  "tensorboard-dir": "./tensorboard",
  "log-dir": "./logs",

}