Geekyrakshit's workspace
Runs
21
Name
6 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
apply_mixed_precision
backbone_preset
batch_size
early_stopping_min_delta
early_stopping_mode
early_stopping_monitor
early_stopping_patience
end_learning_rate
epochs
image_size
initia_learning_rate
initial_learning_rate
learning_rate
lr_decay_power
num_classes
path
seed
weight_decay
epoch/accuracy
epoch/epoch
epoch/learning_rate
epoch/loss
epoch/mean_io_u
epoch/val_accuracy
epoch/val_loss
epoch/val_mean_io_u
Finished
geekyrakshit
3h 33m 4s
-
-
efficientnetv2_s_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95529
99
1.0299e-7
0.13713
0.71147
0.88476
0.56462
0.40698
Finished
geekyrakshit
2h 41m 25s
-
-
efficientnetv2_b2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95423
99
1.0299e-7
0.14101
0.70741
0.87595
0.60576
0.38418
Finished
geekyrakshit
2h 35m 21s
-
-
efficientnetv2_b1_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95375
99
1.0299e-7
0.14278
0.70556
0.87622
0.59665
0.37889
Finished
geekyrakshit
2h 20m 37s
-
-
efficientnetv2_b0_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95231
99
1.0299e-7
0.14776
0.70027
0.86867
0.64963
0.3608
Finished
geekyrakshit
2h 11m 11s
-
-
mobilenet_v3_large_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95381
99
1.0299e-7
0.14323
0.70702
0.86558
0.72388
0.36241
Finished
geekyrakshit
4h 32m 33s
-
-
resnet50_v2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.96469
99
1.0299e-7
0.10423
0.75571
0.86437
0.76827
0.35401
Finished
geekyrakshit
EfficientNetS
EfficientNetV2
cityscapes
imagenet
2h 11m 47s
-
-
efficientnetv2_s_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.00001
-
0.99
34
-
42
0.0001
0.90841
99
1.0030e-7
0.31248
0.49921
0.86209
0.51129
0.36612
Finished
geekyrakshit
EfficientNetS
EfficientNetV2
cityscapes
imagenet
2h 17m 18s
-
-
efficientnetv2_s_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95521
99
1.0299e-7
0.13751
0.71114
0.88392
0.57529
0.4057
Finished
geekyrakshit
EfficientNetB2
EfficientNetV2
cityscapes
imagenet
1h 49m 9s
-
-
efficientnetv2_b2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.00001
-
0.99
34
-
42
0.0001
0.90884
99
1.0030e-7
0.31202
0.50633
0.85722
0.52763
0.35153
Finished
geekyrakshit
EfficientNetB2
EfficientNetV2
cityscapes
imagenet
1h 48m 22s
-
-
efficientnetv2_b2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95423
99
1.0299e-7
0.14103
0.70729
0.87569
0.60361
0.38284
Finished
geekyrakshit
EfficientNetB1
EfficientNetV2
cityscapes
imagenet
1h 45m 24s
-
-
efficientnetv2_b1_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.00001
-
0.99
34
-
42
0.0001
0.90802
99
1.0030e-7
0.31581
0.49582
0.85779
0.52822
0.34498
Finished
geekyrakshit
EfficientNetB1
EfficientNetV2
cityscapes
imagenet
1h 45m 25s
-
-
efficientnetv2_b1_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95374
99
1.0299e-7
0.1428
0.70554
0.87623
0.59139
0.38002
Finished
geekyrakshit
EfficientNetB0
EfficientNetV2
cityscapes
imagenet
1h 37m
-
-
efficientnetv2_b0_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.00001
-
0.99
34
-
42
0.0001
0.90384
99
1.0030e-7
0.33051
0.48554
0.84866
0.55139
0.3264
Finished
geekyrakshit
EfficientNetB0
EfficientNetV2
cityscapes
imagenet
1h 36m 49s
-
-
efficientnetv2_b0_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95229
99
1.0299e-7
0.14781
0.70028
0.8686
0.64994
0.36042
Finished
geekyrakshit
MobileNetV3-Large
cityscapes
imagenet
1h 30m 45s
-
-
mobilenet_v3_large_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.94933
99
1.0299e-7
0.15912
0.68788
0.86452
0.66907
0.36157
Finished
geekyrakshit
MobileNetV3-Large
cityscapes
imagenet
1h 30m 55s
-
-
mobilenet_v3_large_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.00001
-
0.99
34
-
42
0.0001
0.90904
99
1.0030e-7
0.31128
0.5083
0.84824
0.56997
0.32547
Finished
geekyrakshit
ResNetV2
cityscapes
imagenet
2h 18m 38s
-
-
resnet50_v2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.96056
99
1.0299e-7
0.11815
0.73577
0.86876
0.76005
0.36365
Killed
geekyrakshit
33m 31s
-
-
resnet50_v2_imagenet
8
-
-
-
-
1.0000e-7
30
512
-
0.0001
-
0.99
34
-
42
0.0001
0.94356
19
0.000033777
0.18216
0.66523
0.063616
11.34814
0.072289
Killed
geekyrakshit
47m 20s
-
-
resnet50_v2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.007
-
0.99
34
-
42
0.0001
0.94097
27
0.0050568
0.18648
0.65087
0.056137
12.18555
0.06141
Killed
geekyrakshit
ResNetV2
cityscapes
imagenet
1h 10m 39s
-
-
resnet50_v2_imagenet
8
-
-
-
-
1.0000e-7
100
512
-
0.0001
-
0.99
34
-
42
0.0001
0.95239
47
0.000052391
0.14593
0.69844
0.86626
0.64191
0.36196
1-20
of 21