Result table

This table was generated on 2023-12-09 at 17:08. See more results here. See last results here.

results
project_namegroup_namehostnamestatustimetime_per_image_msacc_natacc_pgdlinfacc_pgdl2aggerror_msg
departmentofdefense
Master-IASD
readycash
Success
135.63895537890494
6.781947768945247
62.5
70.13
70.78
140.91
None
deepsnowden
Master-IASD
boldeagle
Success
131.7543968372047
6.587719841860235
62.5
39.9
53.21
93.11
None
boomrangs
Master-IASD
readycash
Success
125.61612366698682
6.280806183349341
37.5
31.69
37.87
69.56
None
panicattack-1
Master-IASD
readycash
Success
287.13647599332035
14.356823799666017
62.5
22.046
39.274
61.32
None
attacks
Master-IASD
kaisertrot
Success
79.92355256003793
3.996177628001897
56.25
25.94
33.41
59.349999999999994
None
liattack
Master-IASD
boldeagle
Success
131.4490803387016
6.5724540169350805
43.75
19.85
37.74
57.59
None
attackontitans
Master-IASD
ourasi
Success
127.16302733682096
6.3581513668410485
30.0
26.196
27.37
53.566
None
benjamin_negreversarial_attack
Master-IASD
boldeagle
Success
128.5788881611079
6.428944408055395
68.75
15.53
34.43
49.96
None
neuralguardians
Master-IASD
kaisertrot
Success
93.82624402997317
4.691312201498659
50.0
9.76
28.38
38.14
None
prds_assignment3_base_repos
profs
ourasi
Success
92.37550380453467
4.618775190226734
50.0
5.98
25.18
31.16
None
real-madrid
Master-IASD
kaisertrot
Success
108.93574765103403
5.446787382551702
37.5
6.03
25.12
31.150000000000002
None
sneakattack
Master-IASD
kaisertrot
Success
102.81774194404716
5.1408870972023575
43.75
6.02
25.13
31.15
None
rattatac
Master-IASD
readycash
Success
121.35491780377924
6.067745890188962
81.25
2.55
15.93
18.48
None
deepsnow
Master-IASD
kaisertrot
Error
0
0
0
0
0
0
FileNotFoundError:
marsattacks
Master-IASD
readycash
Error
0
0
0
0
0
0
FileNotFoundError: [Errno 2] No such file or directory: './config.json'
panicattack
Master-IASD
readycash
Error
0
0
0
0
0
0
FileNotFoundError:
neural_avengers
Master-IASD
readycash
Error
0
0
0
0
0
0
RuntimeError: Error(s) in loading state_dict for Net: Missing key(s) in state_dict: "conv3.weight", "conv3.bias", "batch_norm1.weight", "batch_norm1.bias", "batch_norm1.running_mean", "batch_norm1.running_var", "batch_norm2.weight", "batch_norm2.bias", "batch_norm2.running_mean", "batch_norm2.running_var", "batch_norm3.weight", "batch_norm3.bias", "batch_norm3.running_mean", "batch_norm3.running_var". Unexpected key(s) in state_dict: "fc3.weight", "fc3.bias". size mismatch for conv1.weight: copying a param with shape torch.Size([6, 3, 5, 5]) from checkpoint, the shape in current model is torch.Size([32, 3, 3, 3]). size mismatch for conv1.bias: copying a param with shape torch.Size([6]) from checkpoint, the shape in current model is torch.Size([32]). size mismatch for conv2.weight: copying a param with shape torch.Size([16, 6, 5, 5]) from checkpoint, the shape in current model is torch.Size([64, 32, 3, 3]). size mismatch for conv2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for fc1.weight: copying a param with shape torch.Size([120, 400]) from checkpoint, the shape in current model is torch.Size([512, 2048]). size mismatch for fc1.bias: copying a param with shape torch.Size([120]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for fc2.weight: copying a param with shape torch.Size([84, 120]) from checkpoint, the shape in current model is torch.Size([10, 512]). size mismatch for fc2.bias: copying a param with shape torch.Size([84]) from checkpoint, the shape in current model is torch.Size([10]).
naive_implem
profs
boldeagle
Error
0
0
0
0
0
0
Exception: skiping test to save execution time

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