mirror of https://github.com/hpcaitech/ColossalAI
27 lines
596 B
Python
27 lines
596 B
Python
from colossalai.amp import AMP_TYPE
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TOTAL_BATCH_SIZE = 4096
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LEARNING_RATE = 3e-3
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WEIGHT_DECAY = 0.3
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TENSOR_PARALLEL_SIZE = 8
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TENSOR_PARALLEL_MODE = '3d'
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NUM_EPOCHS = 300
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WARMUP_EPOCHS = 32
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parallel = dict(
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pipeline=1,
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tensor=dict(mode=TENSOR_PARALLEL_MODE, size=TENSOR_PARALLEL_SIZE),
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)
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fp16 = dict(mode=AMP_TYPE.TORCH, )
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gradient_accumulation = 2
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BATCH_SIZE = TOTAL_BATCH_SIZE // gradient_accumulation
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clip_grad_norm = 1.0
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LOG_PATH = f"./vit_{TENSOR_PARALLEL_MODE}_imagenet100_tp{TENSOR_PARALLEL_SIZE}_bs{BATCH_SIZE}_lr{LEARNING_RATE}_{fp16['mode']}_clip_grad{clip_grad_norm}/"
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