Allanstevenson's workspace
Runs
398
Name
220 visualized
State
Group
road_acc
Notes
encoder
human_acc
Tags
num_train
num_valid
learning_rate
weight_decay
batch_size
iou
valid_loss
acc
traffic_acc
human_iou
car_acc
train_loss
Finished
-
0.93076
-
resnet34
0
alexnet
3495
494
0.001311
0.08173
6
0.77653
0.50449
0.86147
0.84833
NaN
0.92017
0.58978
Finished
-
0.9399
reproducing the highest car accuracy run from sweep (50% data)
resnet34
0
seg_masks
3524
492
0.001311
0.08173
6
0.79966
0.44273
0.88233
0.86638
NaN
0.9331
0.5375
Finished
-
0.94398
reproducing the best run by traffic detection accuracy (50% of training data)
resnet18
0
new_tag
seg_masks
3523
492
0.001
0.097
8
0.80727
0.4203
0.88797
0.87183
NaN
0.93882
0.49194
Finished
-
0.90002
reproducing the sweep run with the highest human iou
alexnet
0
seg_masks
1405
190
0.0009084
0.097
7
0.71597
0.6259
0.83344
0.80417
NaN
0.83049
0.62219
Finished
-
0.93598
reproducing the sweep run with the highest overall iou
resnet34
0
seg_masks
1376
205
0.001367
0.06731
7
0.79479
0.46586
0.87259
0.85926
NaN
0.94044
0.50958
Finished
-
0.95086
-
resnet34
0
347
42
0.001
0.097
8
0.75201
0.60553
0.84738
0.82821
NaN
0.9158
0.71142
Finished
-
0.91747
-
resnet34
0
682
97
0.001
0.097
8
0.75227
0.58358
0.85657
0.83487
NaN
0.91692
0.57745
Finished
-
0.91409
-
resnet34
0
725
92
0.001
0.097
8
0.7449
0.53339
0.85044
0.82962
NaN
0.9381
0.56335
Finished
-
0.76828
-
resnet34
0
test_only
66
10
0.001
0.097
8
0.42974
1.22089
0.62597
0.59579
9.0296e-8
0.042304
1.45904
Finished
-
0.74995
-
resnet18
0
test_only
61
15
0.001
0.097
8
0.47014
1.24863
0.59678
0.59073
8.6770e-8
0.30175
1.28326
Finished
-
0.58177
-
resnet18
0
test_only
68
13
0.001
0.097
8
0.47284
1.19654
0.6139
0.61112
7.7748e-8
0.47458
1.30007
Finished
-
0.8558
-
resnet18
0
test_only
76
10
0.001
0.097
8
0.49029
1.09097
0.68992
0.66199
NaN
0.28213
1.184
Finished
-
0.84913
-
resnet18
0
test_only
72
11
0.001
0.097
8
0.47963
1.08318
0.65167
0.64044
7.5011e-8
0.18687
1.22674
Finished
-
0.89161
-
resnet18
0
test_only
73
11
0.001
0.097
8
0.46585
1.14817
0.6913
0.65894
8.3189e-8
0.086813
1.27631
Finished
-
0.71676
-
resnet18
0
test_only
67
12
0.001
0.097
8
0.48497
1.27411
0.62909
0.61471
8.6149e-8
0.44256
1.11704
Finished
-
0.67977
-
resnet18
0
test_only
67
10
0.001
0.097
8
0.4825
1.52695
0.59847
0.5928
NaN
0.31457
1.14719
Finished
-
0.93671
0
resnet34
0
705
106
0.0019625
0.09962
7
0.75335
0.6052
0.84277
0.82605
NaN
0.92154
0.6122
Finished
-
0.65809
-
alexnet
0
711
87
0.010047
0.039215
4
0.34096
1.60171
0.46567
0.46349
NaN
0.0081533
1.67784
Finished
-
0.89785
-
alexnet
0
698
104
0.0011663
0.023692
4
0.7094
0.71431
0.80747
0.78934
NaN
0.79145
0.65305
Finished
-
0.91948
-
resnet18
0
702
85
0.0080976
0.005664
4
0.71653
0.70446
0.82557
0.79515
NaN
0.88339
0.82651
Finished
-
0.91418
9
resnet34
0
713
81
0.0012837
0.080983
7
0.76805
0.5254
0.85194
0.84049
0.000018262
0.92178
0.57174
Finished
-
0.9454
best mean iou in sweep
resnet34
0
690
96
0.0017514
0.072155
7
0.79094
0.48752
0.86981
0.85705
0.000019835
0.93024
0.57054
Finished
-
0.91849
-
resnet34
0
684
111
0.0023732
0.032071
6
0.76274
0.54692
0.85495
0.83853
NaN
0.92841
0.63117
Finished
-
0.93214
-
resnet34
0
708
93
0.00088783
0.088007
8
0.7739
0.51045
0.8562
0.84266
2.8115e-7
0.91625
0.54693
Finished
-
0.89163
-
alexnet
0
710
98
0.0037027
0.085454
7
0.68319
0.66823
0.81646
0.78512
NaN
0.81418
0.62047
Finished
-
0.94693
-
resnet34
0
701
107
0.00077832
0.045015
7
0.79352
0.47814
0.8681
0.85588
NaN
0.92223
0.56943
Finished
-
0.94428
5
resnet34
0
702
104
0.0019191
0.097697
8
0.7547
0.58818
0.84567
0.82759
0.0020818
0.93242
0.59981
Finished
-
0.92309
-
resnet34
0
726
100
0.00084621
0.034333
7
0.76614
0.56694
0.85542
0.83957
NaN
0.93602
0.52186
Finished
-
0.91394
-
resnet18
0
691
103
0.0012981
0.082895
7
0.75591
0.59523
0.83717
0.8292
NaN
0.92056
0.62067
Finished
-
0.9443
-
resnet34
0
721
94
0.00099422
0.017247
7
0.7463
0.56848
0.84402
0.82534
NaN
0.92762
0.56914
Finished
-
0.93653
-
resnet34
0
720
98
0.0010165
0.080238
7
0.76669
0.53756
0.86309
0.84235
0.000015012
0.89922
0.55507
Finished
-
0.92764
-
resnet34
0
720
96
0.0012612
0.02674
7
0.75945
0.6099
0.8365
0.82395
7.6059e-8
0.94093
0.54621
Finished
-
0.92809
-
resnet34
0
687
86
0.00081856
0.0056126
7
0.7589
0.54331
0.85895
0.83357
NaN
0.92565
0.56689
Finished
-
0.93383
-
resnet18
0
685
101
0.0012425
0.018778
7
0.74177
0.58286
0.85041
0.82706
NaN
0.92022
0.68396
Finished
-
0.95054
-
resnet34
0
693
110
0.0010496
0.083831
8
0.77282
0.54428
0.86088
0.83892
7.7097e-8
0.91457
0.56055
Finished
-
0.91658
-
resnet34
0
690
95
0.0018502
0.0017057
6
0.73631
0.61927
0.84032
0.81885
7.2128e-8
0.90895
0.5792
Finished
-
0.92655
-
resnet34
0
710
103
0.0021241
0.036191
6
0.77826
0.53642
0.85369
0.84254
NaN
0.92128
0.57153
Finished
-
0.93775
-
resnet34
0
699
98
0.0022485
0.096651
7
0.73813
0.6018
0.83423
0.81713
7.0224e-8
0.90149
0.60659
Finished
-
0.93718
-
resnet34
0
687
96
0.00081171
0.010413
7
0.76922
0.54037
0.84567
0.83591
7.5333e-8
0.91264
0.56489
Finished
-
0.89952
-
resnet34
0
691
95
0.0018074
0.021394
6
0.75178
0.61188
0.83231
0.81272
NaN
0.91543
0.61218
Finished
-
0.94228
-
resnet34
0
698
98
0.0013264
0.052629
6
0.76631
0.56316
0.85273
0.83226
NaN
0.90832
0.54454
Finished
-
0.93575
-
resnet34
0
690
83
0.00091508
0.082934
6
0.77279
0.50985
0.86271
0.84408
7.8618e-8
0.8987
0.53685
Finished
-
0.87988
-
alexnet
0
692
102
0.00098831
0.0034361
5
0.71668
0.65594
0.82859
0.80543
NaN
0.82405
0.62667
Finished
-
0.91801
7
resnet34
0
679
99
0.00076062
0.064169
7
0.76515
0.60205
0.85556
0.83912
0.00033994
0.90829
0.55741
Finished
-
0.91199
-
resnet34
0
679
103
0.0013017
0.021783
5
0.75984
0.57353
0.8462
0.83246
NaN
0.92794
0.57783
Finished
-
0.90355
-
resnet34
0
727
94
0.001134
0.030667
7
0.77977
0.5119
0.85688
0.84405
NaN
0.93302
0.56826
Finished
-
0.85461
-
alexnet
0
708
93
0.0022322
0.0312
6
0.70111
0.77397
0.7845
0.76591
NaN
0.77514
0.59643
Finished
-
0.93559
-
resnet34
0
712
107
0.0013496
0.0031667
5
0.77879
0.51224
0.86491
0.84291
NaN
0.92985
0.55637
Finished
-
0.90585
-
alexnet
0
703
105
0.001313
0.012839
6
0.7167
0.64768
0.81992
0.80399
NaN
0.82166
0.64975
Finished
-
0.92945
-
resnet34
0
708
105
0.00164
0.06556
7
0.77375
0.52145
0.85995
0.84186
NaN
0.91275
0.60868
1-50
of 220