Result table

This table was generated on 2023-12-11 at 17:09. See more results here. See last results here.

results

project_name group_name hostname status time time_per_image_ms acc_nat acc_pgdlinf acc_pgdl2 agg error_msg departmentofdefense Master-IASD boldeagle Success 142.02407692745328 7.101203846372664 81.25 70.28 70.75 141.03 None deepsnowden Master-IASD readycash Success 114.9335843399167 5.746679216995836 68.75 41.15 53.48 94.63 None boomrangs Master-IASD boldeagle Success 126.68836771324277 6.334418385662138 56.25 31.67 37.84 69.51 None panicattack-1 Master-IASD boldeagle Success 269.95078853704035 13.497539426852018 73.75 21.896 38.958 60.854 None attacks Master-IASD kaisertrot Success 93.29072950303089 4.664536475151545 37.5 25.91 33.48 59.39 None liattack Master-IASD readycash Success 119.40337939187884 5.970168969593942 43.75 19.87 37.72 57.59 None attackontitans Master-IASD ourasi Success 141.41119886934757 7.070559943467378 31.25 26.046 27.562 53.608000000000004 None benjamin_negreversarial_attack Master-IASD readycash Success 121.1619233917445 6.058096169587225 62.5 15.49 34.46 49.95 None neuralguardians Master-IASD kaisertrot Success 102.69062762497924 5.134531381248962 56.25 9.77 28.41 38.18 None sneakattack Master-IASD kaisertrot Success 105.33234670199454 5.266617335099727 31.25 6.03 25.16 31.19 None real-madrid Master-IASD kaisertrot Success 97.47023441200145 4.873511720600073 43.75 6.03 25.14 31.17 None prds_assignment3_base_repos profs boldeagle Success 99.3101418800652 4.96550709400326 50.0 6.01 25.1 31.11 None rattatac Master-IASD readycash Success 114.90578358992934 5.745289179496467 50.0 2.52 15.93 18.45 None deepsnow Master-IASD kaisertrot 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: 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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