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CIFAR10-ResNet18-MixUpCutMix-lr_sweep
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final-results-CIFAR10-ResNet18-MixUpCutMix-lr_sweep
Notes
Author
krenerd77State
Finished
Start time
July 21st, 2022 2:10:00 AM
Runtime
3s
Tracked hours
1s
Run path
krenerd77/CIFAR10-classification/yw5iopge
OS
Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
Python version
3.7.13
Git repository
git clone https://github.com/krenerd/awesome-modular-pytorch-lightning
Git state
git checkout -b "final-results-CIFAR10-ResNet18-MixUpCutMix-lr_sweep" 65ee2b53c5d193906f159e8a5c6bedfc13f3bdef
Command
hyperparameter_sweep.py --name CIFAR10-ResNet18-MixUpCutMix-lr_sweep -k training.lr -t float -v 0.1 0.03 0.01 0.003 --set_same_group --config configs/data/augmentation/mixup/mixup_cutmix.yaml configs/vision/classification/resnet-cifar10.yaml configs/vision/models/resnet/resnet18-custom.yaml configs/data/cifar10-kuangliu.yaml configs/device/gpu.yaml configs/utils/wandb.yaml configs/utils/train.yaml
System Hardware
| CPU count | 2 |
| GPU count | 1 |
| GPU type | Tesla T4 |
W&B CLI Version
0.12.21
Config
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No config parameters were saved for this run.
Check the configuration documentation for more information.
Summary
Summary metrics are your model's outputs. Learn more
- {} 4 keys▶
- 0.9491999745368958
- 0.3635856509208679
- 0.3640657067298889
- 0.003
Artifact Outputs
This run produced these artifacts as outputs. Total: 1. Learn more
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