Result table

This table was generated on 2023-12-10 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
kaisertrot
Success
96.56145650596591
4.828072825298295
68.75
70.21
70.76
140.97
None
deepsnowden
Master-IASD
readycash
Success
118.14244980178773
5.907122490089386
37.5
40.97
53.42
94.39
None
boomrangs
Master-IASD
kaisertrot
Success
93.26841954200063
4.6634209771000315
56.25
31.71
37.87
69.58
None
panicattack-1
Master-IASD
readycash
Success
267.7144433464855
13.385722167324275
57.5
22.108
39.214
61.322
None
attacks
Master-IASD
readycash
Success
118.18210896849632
5.909105448424816
43.75
25.88
33.45
59.33
None
liattack
Master-IASD
boldeagle
Success
104.44379832036793
5.222189916018397
43.75
19.88
37.72
57.599999999999994
None
attackontitans
Master-IASD
boldeagle
Success
132.03709182329476
6.601854591164738
32.5
25.972
27.344
53.316
None
benjamin_negreversarial_attack
Master-IASD
ourasi
Success
138.03962809033692
6.901981404516846
56.25
15.52
34.45
49.97
None
neuralguardians
Master-IASD
boldeagle
Success
121.64043818973005
6.082021909486502
56.25
9.8
28.36
38.16
None
prds_assignment3_base_repos
profs
kaisertrot
Success
109.86755114095286
5.493377557047643
56.25
6.05
25.12
31.17
None
sneakattack
Master-IASD
kaisertrot
Success
90.34226625901647
4.517113312950824
56.25
6.06
25.1
31.16
None
real-madrid
Master-IASD
kaisertrot
Success
92.77229875401827
4.638614937700914
62.5
5.97
25.13
31.099999999999998
None
rattatac
Master-IASD
readycash
Success
112.34278434515
5.6171392172575
56.25
2.57
16.0
18.57
None
deepsnow
Master-IASD
boldeagle
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
ourasi
Error
0
0
0
0
0
0
Exception: skiping test to save execution time

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