Result table

This table was generated on 2023-12-12 at 05:08. See more results here. See last results here.

results
project_namegroup_namehostnamestatustimetime_per_image_msacc_natacc_pgdlinfacc_pgdl2aggerror_msg
departmentofdefense
Master-IASD
readycash
Success
134.98952759988606
6.749476379994303
75.0
70.24
70.74
140.98
None
deepsnowden
Master-IASD
boldeagle
Success
127.27996809780598
6.363998404890299
37.5
37.57
53.33
90.9
None
boomrangs
Master-IASD
readycash
Success
113.70766773633659
5.685383386816829
37.5
31.74
37.85
69.59
None
panicattack-1
Master-IASD
kaisertrot
Success
230.8978926159907
11.544894630799536
53.75
21.764
38.736
60.5
None
attacks
Master-IASD
boldeagle
Success
128.06855234317482
6.403427617158741
37.5
25.9
33.46
59.36
None
liattack
Master-IASD
boldeagle
Success
121.87464155256748
6.093732077628374
43.75
19.79
37.73
57.519999999999996
None
attackontitans
Master-IASD
kaisertrot
Success
94.67641605401877
4.733820802700938
18.75
26.268
27.258
53.525999999999996
None
benjamin_negreversarial_attack
Master-IASD
ourasi
Success
115.5385123360902
5.776925616804511
50.0
15.49
34.41
49.9
None
neuralguardians
Master-IASD
readycash
Success
120.44371887296438
6.022185943648219
68.75
9.83
28.39
38.22
None
real-madrid
Master-IASD
kaisertrot
Success
102.89140419999603
5.144570209999801
43.75
6.02
25.11
31.13
None
sneakattack
Master-IASD
readycash
Success
100.27030877582729
5.013515438791365
56.25
6.0
25.12
31.12
None
prds_assignment3_base_repos
profs
kaisertrot
Success
92.4177053939784
4.6208852696989196
62.5
5.99
25.13
31.119999999999997
None
rattatac
Master-IASD
readycash
Success
123.02511503733695
6.151255751866847
62.5
2.52
15.95
18.47
None
marsattacks
Master-IASD
readycash
Error
0
0
0
0
0
0
FileNotFoundError: [Errno 2] No such file or directory: './config.json'
deepsnow
Master-IASD
kaisertrot
Error
0
0
0
0
0
0
FileNotFoundError:
panicattack
Master-IASD
kaisertrot
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
ourasi
Error
0
0
0
0
0
0
Exception: skiping test to save execution time

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