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ColossalAI/examples/tutorial/large_batch_optimizer/config.py

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[tutorial] edited hands-on practices (#1899) * Add handson to ColossalAI. * Change names of handsons and edit sequence parallel example. * Edit wrong folder name * resolve conflict * delete readme
2022-11-11 09:08:17 +00:00
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
[example] updated large-batch optimizer tutorial (#2448) * [example] updated large-batch optimizer tutorial * polish code * polish code
2023-01-11 08:27:31 +00:00
NUM_EPOCHS = 2
WARMUP_EPOCHS = 1
[tutorial] edited hands-on practices (#1899) * Add handson to ColossalAI. * Change names of handsons and edit sequence parallel example. * Edit wrong folder name * resolve conflict * delete readme
2022-11-11 09:08:17 +00:00
# model config
[example] updated large-batch optimizer tutorial (#2448) * [example] updated large-batch optimizer tutorial * polish code * polish code
2023-01-11 08:27:31 +00:00
NUM_CLASSES = 10
[tutorial] edited hands-on practices (#1899) * Add handson to ColossalAI. * Change names of handsons and edit sequence parallel example. * Edit wrong folder name * resolve conflict * delete readme
2022-11-11 09:08:17 +00:00
fp16 = dict(mode=AMP_TYPE.NAIVE)
clip_grad_norm = 1.0