DeepLearner101 commited on
Commit
bd44772
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1 Parent(s): 2a6d813

Add pytorch_model_0015.pth and related files

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config.json ADDED
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+ {"architectures": ["ResNetForImageClassification"], "model_type": "resnet", "num_labels": 1000}
pytorch_model_0015.pth ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:528953bdd7daae1aa7a1704043f11485eb6843d8388eddfe22aaf398cb142301
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+ size 102549342
training_metrics_0015.json ADDED
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+ {"0.0015": [{"training_loss": 8.645286560058594, "training_accuracy": 0.0, "fgsm_loss": 0.055398620665073395, "adversarial_accuracy": 0.0, "validation_accuracy": 0.78125}, {"training_loss": 8.639686822891235, "training_accuracy": 0.390625, "fgsm_loss": 0.05487009510397911, "adversarial_accuracy": 0.0, "validation_accuracy": 0.0}, {"training_loss": 8.632371664047241, "training_accuracy": 3.90625, "fgsm_loss": 0.05379576049745083, "adversarial_accuracy": 0.390625, "validation_accuracy": 6.25}, {"training_loss": 8.623080492019653, "training_accuracy": 15.625, "fgsm_loss": 0.05248588137328625, "adversarial_accuracy": 1.171875, "validation_accuracy": 24.21875}, {"training_loss": 8.613056421279907, "training_accuracy": 23.4375, "fgsm_loss": 0.050889020785689354, "adversarial_accuracy": 4.296875, "validation_accuracy": 26.5625}, {"training_loss": 8.602347373962402, "training_accuracy": 30.078125, "fgsm_loss": 0.049135468900203705, "adversarial_accuracy": 7.03125, "validation_accuracy": 27.34375}, {"training_loss": 8.59180736541748, "training_accuracy": 32.8125, "fgsm_loss": 0.04787705838680267, "adversarial_accuracy": 7.03125, "validation_accuracy": 28.125}, {"training_loss": 8.58378791809082, "training_accuracy": 35.546875, "fgsm_loss": 0.04623612202703953, "adversarial_accuracy": 11.71875, "validation_accuracy": 25.78125}, {"training_loss": 8.580418348312378, "training_accuracy": 33.59375, "fgsm_loss": 0.04564526118338108, "adversarial_accuracy": 7.03125, "validation_accuracy": 26.5625}, {"training_loss": 8.577216148376465, "training_accuracy": 33.984375, "fgsm_loss": 0.044970011338591576, "adversarial_accuracy": 9.765625, "validation_accuracy": 27.34375}, {"training_loss": 8.573638200759888, "training_accuracy": 34.765625, "fgsm_loss": 0.04389306716620922, "adversarial_accuracy": 12.109375, "validation_accuracy": 23.4375}, {"training_loss": 8.569044828414917, "training_accuracy": 38.671875, "fgsm_loss": 0.043652139604091644, "adversarial_accuracy": 12.109375, "validation_accuracy": 28.90625}, {"training_loss": 8.56568193435669, "training_accuracy": 37.890625, "fgsm_loss": 0.043124353513121605, "adversarial_accuracy": 10.546875, "validation_accuracy": 24.21875}, {"training_loss": 8.561797857284546, "training_accuracy": 39.453125, "fgsm_loss": 0.042248060926795006, "adversarial_accuracy": 14.0625, "validation_accuracy": 24.21875}, {"training_loss": 8.559719800949097, "training_accuracy": 39.0625, "fgsm_loss": 0.0410784799605608, "adversarial_accuracy": 14.453125, "validation_accuracy": 26.5625}, {"training_loss": 8.558951377868652, "training_accuracy": 37.5, "fgsm_loss": 0.04104059934616089, "adversarial_accuracy": 14.84375, "validation_accuracy": 26.5625}, {"training_loss": 8.557900190353394, "training_accuracy": 35.546875, "fgsm_loss": 0.04182871989905834, "adversarial_accuracy": 12.5, "validation_accuracy": 26.5625}, {"training_loss": 8.556421518325806, "training_accuracy": 37.890625, "fgsm_loss": 0.0413189809769392, "adversarial_accuracy": 12.5, "validation_accuracy": 25.0}, {"training_loss": 8.555190086364746, "training_accuracy": 36.328125, "fgsm_loss": 0.041298411786556244, "adversarial_accuracy": 13.28125, "validation_accuracy": 26.5625}, {"training_loss": 8.553604125976562, "training_accuracy": 35.546875, "fgsm_loss": 0.04051630198955536, "adversarial_accuracy": 11.328125, "validation_accuracy": 23.4375}]}