Result table

This table was generated on 2023-12-11 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
126.28378469124436
6.314189234562218
75.0
70.26
70.89
141.15
None
deepsnowden
Master-IASD
boldeagle
Success
127.66802960447967
6.383401480223983
75.0
37.71
53.54
91.25
None
boomrangs
Master-IASD
readycash
Success
120.88082328997552
6.044041164498776
43.75
31.66
37.89
69.55
None
panicattack-1
Master-IASD
kaisertrot
Success
218.8231649090303
10.941158245451517
51.25
22.25
39.068
61.318
None
attacks
Master-IASD
kaisertrot
Success
99.15384510601871
4.957692255300936
43.75
25.99
33.46
59.45
None
liattack
Master-IASD
boldeagle
Success
132.6759606357664
6.633798031788319
43.75
19.85
37.71
57.56
None
attackontitans
Master-IASD
ourasi
Success
145.08622183836997
7.254311091918498
32.5
26.092
27.072
53.164
None
benjamin_negreversarial_attack
Master-IASD
boldeagle
Success
130.32868125662208
6.516434062831104
68.75
15.52
34.41
49.92999999999999
None
neuralguardians
Master-IASD
readycash
Success
115.85835259407759
5.792917629703879
50.0
9.85
28.41
38.26
None
real-madrid
Master-IASD
kaisertrot
Success
85.34020220395178
4.267010110197589
75.0
6.01
25.15
31.159999999999997
None
prds_assignment3_base_repos
profs
ourasi
Success
87.9719910863787
4.398599554318935
50.0
6.04
25.08
31.119999999999997
None
sneakattack
Master-IASD
readycash
Success
92.85894190333784
4.642947095166892
56.25
6.02
25.08
31.099999999999998
None
rattatac
Master-IASD
readycash
Success
117.85215123556554
5.892607561778277
43.75
2.54
15.94
18.48
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
readycash
Error
0
0
0
0
0
0
Exception: skiping test to save execution time

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