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b5f9e37c70
* [legacy] remove outdated codes of pipeline (#4692) * [legacy] remove cli of benchmark and update optim (#4690) * [legacy] remove cli of benchmark and update optim * [doc] fix cli doc test * [legacy] fix engine clip grad norm * [legacy] remove outdated colo tensor (#4694) * [legacy] remove outdated colo tensor * [test] fix test import * [legacy] move outdated zero to legacy (#4696) * [legacy] clean up utils (#4700) * [legacy] clean up utils * [example] update examples * [legacy] clean up amp * [legacy] fix amp module * [legacy] clean up gpc (#4742) * [legacy] clean up context * [legacy] clean core, constants and global vars * [legacy] refactor initialize * [example] fix examples ci * [example] fix examples ci * [legacy] fix tests * [example] fix gpt example * [example] fix examples ci * [devops] fix ci installation * [example] fix examples ci
17 lines
321 B
Python
17 lines
321 B
Python
from colossalai.legacy.amp import AMP_TYPE
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# hyperparameters
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# BATCH_SIZE is as per GPU
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# global batch size = BATCH_SIZE x data parallel size
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BATCH_SIZE = 512
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LEARNING_RATE = 3e-3
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WEIGHT_DECAY = 0.3
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NUM_EPOCHS = 2
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WARMUP_EPOCHS = 1
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# model config
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NUM_CLASSES = 10
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fp16 = dict(mode=AMP_TYPE.NAIVE)
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clip_grad_norm = 1.0
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