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ColossalAI/examples/tutorial/large_batch_optimizer/config.py

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from colossalai.amp import AMP_TYPE
# hyperparameters
# BATCH_SIZE is as per GPU
# global batch size = BATCH_SIZE x data parallel size
BATCH_SIZE = 512
LEARNING_RATE = 3e-3
WEIGHT_DECAY = 0.3
NUM_EPOCHS = 2
WARMUP_EPOCHS = 1
# model config
NUM_CLASSES = 10
fp16 = dict(mode=AMP_TYPE.NAIVE)
clip_grad_norm = 1.0