Result table

This table was generated on 2023-12-14 at 05:09. 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 readycash Success 120.10114276202512 6.0050571381012565 43.75 70.32 70.72 141.04 None deepsnowden Master-IASD boldeagle Success 124.94948669700534 6.247474334850267 68.75 37.63 53.48 91.11 None boomrangs Master-IASD readycash Success 115.50907196500339 5.77545359825017 56.25 31.74 37.88 69.62 None panicattack-1 Master-IASD readycash Success 271.03042775500217 13.551521387750109 45.0 22.152 39.326 61.478 None attacks Master-IASD boldeagle Success 126.22253762901528 6.311126881450765 43.75 25.95 33.43 59.379999999999995 None liattack Master-IASD boldeagle Success 126.46803843599628 6.323401921799814 43.75 19.84 37.73 57.56999999999999 None attackontitans Master-IASD kaisertrot Success 128.96601706402726 6.448300853201363 23.75 26.276 27.232 53.507999999999996 None benjamin_negreversarial_attack Master-IASD ourasi Success 94.58748619799735 4.7293743098998675 56.25 15.5 34.39 49.89 None neuralguardians Master-IASD readycash Success 119.99595656397287 5.999797828198644 43.75 9.77 28.35 38.120000000000005 None sneakattack Master-IASD readycash Success 98.33697752401349 4.916848876200675 68.75 6.02 25.14 31.16 None prds_assignment3_base_repos profs kaisertrot Success 90.44255253099254 4.5221276265496275 37.5 6.0 25.16 31.16 None real-madrid Master-IASD ourasi Success 87.53366256601294 4.376683128300647 31.25 5.98 25.16 31.14 None rattatac Master-IASD kaisertrot Success 86.55325759999687 4.327662879999843 68.75 2.51 15.93 18.439999999999998 None marsattacks Master-IASD readycash Error 0 0 0 0 0 0 FileNotFoundError: [Errno 2] No such file or directory: './config.json' 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]). panicattack Master-IASD readycash Error 0 0 0 0 0 0 FileNotFoundError: deepsnow Master-IASD kaisertrot Error 0 0 0 0 0 0 FileNotFoundError: naive_implem profs readycash Error 0 0 0 0 0 0 Exception: skiping test to save execution time

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