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Better explain lr and batch size in references/detection/train.py #1233

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merged 2 commits into from
Aug 12, 2019
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Better explain lr and batch size in references/detection/train.py #1233

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42326e0
explain lr and batch size in references/detection/train.py
wangg12 Aug 12, 2019
f18ea70
fix typo
wangg12 Aug 12, 2019
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10 changes: 8 additions & 2 deletions references/detection/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,9 @@
python -m torch.distributed.launch --nproc_per_node=$NGPU --use_env \
train.py ... --world-size $NGPU

The default hyperparameters are tuned for training on 8 gpus and 2 images per gpu.
--lr 0.02 --batch-size 2 --world-size 8
If you use different number of gpus, the learning rate should be changed to 0.02/8*$NGPU.
"""
import datetime
import os
Expand Down Expand Up @@ -140,12 +143,15 @@ def main(args):
parser.add_argument('--dataset', default='coco', help='dataset')
parser.add_argument('--model', default='maskrcnn_resnet50_fpn', help='model')
parser.add_argument('--device', default='cuda', help='device')
parser.add_argument('-b', '--batch-size', default=2, type=int)
parser.add_argument('-b', '--batch-size', default=2, type=int,
help='images per gpu, the total batch size is $NGPU x batch_size')
parser.add_argument('--epochs', default=13, type=int, metavar='N',
help='number of total epochs to run')
parser.add_argument('-j', '--workers', default=4, type=int, metavar='N',
help='number of data loading workers (default: 16)')
parser.add_argument('--lr', default=0.02, type=float, help='initial learning rate')
parser.add_argument('--lr', default=0.02, type=float,
help='initial learning rate, 0.02 is the default value for training '
'on 8 gpus and 2 images_per_gpu')
parser.add_argument('--momentum', default=0.9, type=float, metavar='M',
help='momentum')
parser.add_argument('--wd', '--weight-decay', default=1e-4, type=float,
Expand Down