Skip to content

Default --data imagenette160 training (fastest) #9033

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
glenn-jocher merged 4 commits into from
Aug 19, 2022
Merged

Default --data imagenette160 training (fastest) #9033

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
7272676
Default --data `imagenette160` training (fastest)
glenn-jocher Aug 19, 2022
6711daa
Update train.py
glenn-jocher Aug 19, 2022
6e6cd02
Update train.py
glenn-jocher Aug 19, 2022
48658aa
Update train.py
glenn-jocher Aug 19, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions classify/train.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
Torchvision models: --model resnet50, efficientnet_b0, etc. See https://pytorch.org/vision/stable/models.html

Usage - Single-GPU and Multi-GPU DDP
$ python classify/train.py --model yolov5s-cls.pt --data cifar100 --epochs 5 --img 128
$ python classify/train.py --model yolov5s-cls.pt --data imagenette160 --epochs 5 --img 128
$ python -m torch.distributed.run --nproc_per_node 4 --master_port 1 classify/train.py --model yolov5s-cls.pt --data imagenet --epochs 5 --img 224 --device 0,1,2,3
"""

Expand Down Expand Up @@ -266,8 +266,8 @@ def train(opt, device):
def parse_opt(known=False):
parser = argparse.ArgumentParser()
parser.add_argument('--model', type=str, default='yolov5s-cls.pt', help='initial weights path')
parser.add_argument('--data', type=str, default='mnist', help='cifar10, cifar100, mnist, imagenet, etc.')
parser.add_argument('--epochs', type=int, default=10)
parser.add_argument('--data', type=str, default='imagenette160', help='cifar10, cifar100, mnist, imagenet, ...')
parser.add_argument('--epochs', type=int, default=10, help='total training epochs')
parser.add_argument('--batch-size', type=int, default=64, help='total batch size for all GPUs')
parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=128, help='train, val image size (pixels)')
parser.add_argument('--nosave', action='store_true', help='only save final checkpoint')
Expand Down
2 changes: 1 addition & 1 deletion train.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -436,7 +436,7 @@ def parse_opt(known=False):
parser.add_argument('--cfg', type=str, default='', help='model.yaml path')
parser.add_argument('--data', type=str, default=ROOT / 'data/coco128.yaml', help='dataset.yaml path')
parser.add_argument('--hyp', type=str, default=ROOT / 'data/hyps/hyp.scratch-low.yaml', help='hyperparameters path')
parser.add_argument('--epochs', type=int, default=300)
parser.add_argument('--epochs', type=int, default=300, help='total training epochs')
parser.add_argument('--batch-size', type=int, default=16, help='total batch size for all GPUs, -1 for autobatch')
parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=640, help='train, val image size (pixels)')
parser.add_argument('--rect', action='store_true', help='rectangular training')
Expand Down