Compare Runs
A demo of comparing runs programatically
Created on December 20|Last edited on December 20
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["--arch=regnet_x_400mf","--batch_size=4","--img_size=240","--log_preds=False","--lr=0.009965585060874084"]
["--arch=regnet_x_400mf","--batch_size=8","--img_size=240","--log_preds=False","--lr=6.820352642816793e-05"]
["--arch=resnet18","--batch_size=8","--img_size=240","--log_preds=False","--lr=1.641667276814983e-05"]
["--arch=mobilenet_v3_small","--batch_size=8","--img_size=240","--log_preds=False","--lr=0.000958635067274298"]
["--arch=regnet_x_400mf","--batch_size=8","--img_size=240","--log_preds=False","--lr=0.0003060404539811627"]
["--arch=mobilenet_v3_small","--batch_size=4","--img_size=240","--log_preds=False","--lr=0.00013044769713726326"]
2m 33s
2m 7s
1m 53s
6m 53s
1m 51s
7m 22s
config
dls
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Flip -- {'size': None, 'mode': 'bilinear', 'pad_mode': 'reflection', 'mode_mask': 'nearest', 'align_corners': True, 'p': 0.5} -> Brightness -- {'max_lighting': 0.2, 'p': 1.0, 'draw': None, 'batch': False}
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Flip -- {'size': None, 'mode': 'bilinear', 'pad_mode': 'reflection', 'mode_mask': 'nearest', 'align_corners': True, 'p': 0.5} -> Brightness -- {'max_lighting': 0.2, 'p': 1.0, 'draw': None, 'batch': False}
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Flip -- {'size': None, 'mode': 'bilinear', 'pad_mode': 'reflection', 'mode_mask': 'nearest', 'align_corners': True, 'p': 0.5} -> Brightness -- {'max_lighting': 0.2, 'p': 1.0, 'draw': None, 'batch': False} -> Normalize -- {'mean': tensor([[[[0.4850]],
[[0.4560]],
[[0.4060]]]], device='cuda:0'), 'std': tensor([[[[0.2290]],
[[0.2240]],
[[0.2250]]]], device='cuda:0'), 'axes': (0, 2, 3)}
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Flip -- {'size': None, 'mode': 'bilinear', 'pad_mode': 'reflection', 'mode_mask': 'nearest', 'align_corners': True, 'p': 0.5} -> Brightness -- {'max_lighting': 0.2, 'p': 1.0, 'draw': None, 'batch': False}
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Flip -- {'size': None, 'mode': 'bilinear', 'pad_mode': 'reflection', 'mode_mask': 'nearest', 'align_corners': True, 'p': 0.5} -> Brightness -- {'max_lighting': 0.2, 'p': 1.0, 'draw': None, 'batch': False}
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Flip -- {'size': None, 'mode': 'bilinear', 'pad_mode': 'reflection', 'mode_mask': 'nearest', 'align_corners': True, 'p': 0.5} -> Brightness -- {'max_lighting': 0.2, 'p': 1.0, 'draw': None, 'batch': False}
Learner
<fastai.learner.Learner object at 0x7cc7063e0ca0>
<fastai.learner.Learner object at 0x7f4899d8e1a0>
<fastai.learner.Learner object at 0x7e31590d06d0>
<fastai.learner.Learner object at 0x7f87ab798820>
<fastai.learner.Learner object at 0x7ed5a969a1a0>
<fastai.learner.Learner object at 0x7d3ad3663a60>
torchvision.models.regnet.regnet_x_400mf
torchvision.models.regnet.regnet_x_400mf
torchvision.models.resnet.resnet18
torchvision.models.mobilenetv3.mobilenet_v3_small
torchvision.models.regnet.regnet_x_400mf
torchvision.models.mobilenetv3.mobilenet_v3_small
["<utils.MIOU object at 0x7cc7082bcbb0>","<utils.BackgroundIOU object at 0x7cc7063e25c0>","<utils.RoadIOU object at 0x7cc7063e1540>","<utils.TrafficLightIOU object at 0x7cc7063e21a0>","<utils.TrafficSignIOU object at 0x7cc7082ad4e0>","<utils.PersonIOU object at 0x7cc7082ac0d0>","<utils.VehicleIOU object at 0x7cc706250a90>","<utils.BicycleIOU object at 0x7cc7062529e0>"]
["<utils.MIOU object at 0x7f489a188b50>","<utils.BackgroundIOU object at 0x7f489a188850>","<utils.RoadIOU object at 0x7f489a189e40>","<utils.TrafficLightIOU object at 0x7f489a1887c0>","<utils.TrafficSignIOU object at 0x7f4899d8f8e0>","<utils.PersonIOU object at 0x7f4899d8eb30>","<utils.VehicleIOU object at 0x7f4899d8c340>","<utils.BicycleIOU object at 0x7f4899d8eb90>"]
["<utils.MIOU object at 0x7e315b24ce50>","<utils.BackgroundIOU object at 0x7e31590d3310>","<utils.RoadIOU object at 0x7e31590d3130>","<utils.TrafficLightIOU object at 0x7e31590d2f20>","<utils.TrafficSignIOU object at 0x7e31590d3550>","<utils.PersonIOU object at 0x7e31590d36a0>","<utils.VehicleIOU object at 0x7e3159147280>","<utils.BicycleIOU object at 0x7e31591476a0>"]
["<utils.MIOU object at 0x7f87b83f4820>","<utils.BackgroundIOU object at 0x7f87b83f4c70>","<utils.RoadIOU object at 0x7f87b83f5f90>","<utils.TrafficLightIOU object at 0x7f87ab79afe0>","<utils.TrafficSignIOU object at 0x7f87ab79ba60>","<utils.PersonIOU object at 0x7f87ab79bd00>","<utils.VehicleIOU object at 0x7f87ab763940>","<utils.BicycleIOU object at 0x7f87ab763d30>"]
["<utils.MIOU object at 0x7ed5ab7e4a90>","<utils.BackgroundIOU object at 0x7ed5a969aef0>","<utils.RoadIOU object at 0x7ed5a969b640>","<utils.TrafficLightIOU object at 0x7ed5a969a230>","<utils.TrafficSignIOU object at 0x7ed5a969b340>","<utils.PersonIOU object at 0x7ed5aae7c370>","<utils.VehicleIOU object at 0x7ed5aae7cb50>","<utils.BicycleIOU object at 0x7ed5a9723a00>"]
["<utils.MIOU object at 0x7d3ad3680a00>","<utils.BackgroundIOU object at 0x7d3ad1e2af20>","<utils.RoadIOU object at 0x7d3ad1e2aa70>","<utils.TrafficLightIOU object at 0x7d3ad1e2a770>","<utils.TrafficSignIOU object at 0x7d3ad1e2ad40>","<utils.PersonIOU object at 0x7d3ad1e2b2b0>","<utils.VehicleIOU object at 0x7d3ad1ec2c20>","<utils.BicycleIOU object at 0x7d3ad1ec2fb0>"]
fastai.vision.learner.default_split
fastai.vision.learner.default_split
fastai.vision.learner._resnet_split
fastai.vision.learner.default_split
fastai.vision.learner.default_split
fastai.vision.learner.default_split
SaveModelCallback
run-7o21pvs5-model
run-acmho5wv-model
run-ausrmpdh-model
run-jzhxkrg3-model
run-mxd157ps-model
run-klcuo1ux-model
regnet_x_400mf
regnet_x_400mf
resnet18
mobilenet_v3_small
regnet_x_400mf
mobilenet_v3_small
200
100
100
100
100
200
4
8
8
8
8
4
4
8
8
8
8
4
1
1
2
1
1
1
4
8
8
8
8
4
0.0099656
0.000068204
0.000016417
0.00095864
0.00030604
0.00013045
summary
_wandb
Run Comparison
6
Run Comparison
0
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