Result table

This table was generated on 2023-12-09 at 05:09. See more results here. See last results here.

results
project_namegroup_namehostnamestatustimetime_per_image_msacc_natacc_pgdlinfacc_pgdl2aggerror_msg
departmentofdefense
Master-IASD
boldeagle
Success
135.59254851192236
6.779627425596118
87.5
70.23
70.76
140.99
None
deepsnowden
Master-IASD
kaisertrot
Success
83.73255570599576
4.1866277852997875
68.75
42.92
53.11
96.03
None
boomrangs
Master-IASD
boldeagle
Success
125.72585592418909
6.286292796209455
68.75
31.65
37.86
69.50999999999999
None
panicattack-1
Master-IASD
boldeagle
Success
276.15291821956635
13.807645910978318
42.5
22.618
36.384
59.001999999999995
None
liattack
Master-IASD
readycash
Success
126.23922024853528
6.311961012426764
43.75
19.88
37.72
57.599999999999994
None
attacks
Master-IASD
ourasi
Success
131.20869433693588
6.560434716846794
43.75
23.73
32.64
56.370000000000005
None
attackontitans
Master-IASD
readycash
Success
142.4696399718523
7.123481998592615
22.5
26.076
27.248
53.324
None
neuralguardians
Master-IASD
readycash
Success
133.0852354671806
6.65426177335903
50.0
9.76
28.41
38.17
None
sneakattack
Master-IASD
kaisertrot
Success
99.78688040899578
4.989344020449789
68.75
6.05
25.16
31.21
None
real-madrid
Master-IASD
readycash
Success
119.14301920495927
5.957150960247964
68.75
6.0
25.16
31.16
None
prds_assignment3_base_repos
profs
ourasi
Success
88.4681248087436
4.42340624043718
43.75
5.99
25.06
31.049999999999997
None
rattatac
Master-IASD
kaisertrot
Success
93.05145822901977
4.652572911450989
62.5
2.54
15.93
18.47
None
deepsnow
Master-IASD
readycash
Error
0
0
0
0
0
0
FileNotFoundError:
marsattacks
Master-IASD
boldeagle
Error
0
0
0
0
0
0
FileNotFoundError: [Errno 2] No such file or directory: './config.json'
panicattack
Master-IASD
boldeagle
Error
0
0
0
0
0
0
FileNotFoundError:
benjamin_negreversarial_attack
Master-IASD
kaisertrot
Error
0
0
0
0
0
0
IndentationError: unexpected indent (attacks.py, line 245)
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
readycash
Error
0
0
0
0
0
0
Exception: skiping test to save execution time

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