GPT-Neo-125M / experiments /deepspeed.json
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{
"optimizer": {
"type": "AdamW",
"params": {
"lr": 1e-4,
"betas": [ 0.9, 0.999 ],
"eps": 1e-8,
"weight_decay": 0.1
}
},
"scheduler": {
"type": "WarmupLR",
"params": {
"warmup_min_lr": 1e-9,
"warmup_max_lr": 1e-4,
"warmup_num_steps": 1000
}
},
"zero_optimization": {
"stage": 2,
"offload_optimizer": {
"device": "cpu",
"pin_memory": true
},
"allgather_partitions": true,
"allgather_bucket_size": 5e8,
"overlap_comm": true,
"reduce_scatter": true,
"reduce_bucket_size": 5e8,
"contiguous_gradients": true
},
"tensorboard": {
"enabled": true,
"output_path": "logs/",
"job_name": "train_neo"
},
"zero_allow_untested_optimizer": true,
"gradient_accumulation_steps": "auto",
"gradient_clipping": "auto",
"steps_per_print": 2000,
"train_batch_size": "auto",
"train_micro_batch_size_per_gpu": "auto",
"wall_clock_breakdown": false
}