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# GPT-2 pretraining setup
{
# parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages
# across the node boundaries )
"pipe-parallel-size": 1,
"model-parallel-size": 4,
# model settings
"num-layers": 36,
"hidden-size": 5120,
"num-attention-heads": 40,
"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",
# these should provide some speedup but takes a while to build, set to true if desired
"scaled-upper-triang-masked-softmax-fusion": true,
"bias-gelu-fusion": true,
# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.00012,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"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
"train_micro_batch_size_per_gpu": 8,
"gradient_accumulation_steps": 2,
"data-impl": "mmap",
# activation checkpointing
"checkpoint-activations": true,
"checkpoint-num-layers": 1,
"partition-activations": true,
"synchronize-each-layer": true,
# regularization
"gradient_clipping": 1.0,
"weight-decay": 0.1,
"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": 143000,
"lr-decay-iters": 143000,
"distributed-backend": "nccl",
"lr-decay-style": "cosine",
"warmup": 0.01,
"save-interval": 1000,
"eval-interval": 1000,
"eval-iters": 10,
# logging
"log-interval": 10,
"steps_per_print": 10,
"wall_clock_breakdown": true,
"use_wandb": True,
"wandb_host": "https://api.wandb.ai",
# Data paths and options when using EleutherAI cluster
"train-data-paths": ["/fsx/pile_deduped/pile_0.87_deduped_text_document"],
"valid-data-paths": ["/fsx/pile_deduped/pile_0.87_deduped_text_document"],
"test-data-paths": ["/fsx/pile_deduped/pile_0.87_deduped_text_document"],
"tokenizer_type": "HFTokenizer",
"vocab-file": "/fsx/pile/20B_tokenizer.json",
"save": "/fsx/shiv/gpt-neox-old/runs/checkpoints/pythia/13B_deduped_new/",
"load": "/fsx/shiv/gpt-neox-old/runs/checkpoints/pythia/13B_deduped_new/",
"tensorboard-dir": "/fsx/shiv/gpt-neox-old/runs/tensorboard",
"log-dir": "/fsx/shiv/gpt-neox-old/runs/logs",
"wandb_team": "eleutherai",
"wandb_project": "pythia",
"wandb_group": "13B dedupe",
"launcher": "openmpi",
"deepspeed_mpi": true
}