Add pytorch_model_0015.pth and related files

config.json

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+{"architectures": ["ResNetForImageClassification"], "model_type": "resnet", "num_labels": 1000}

pytorch_model_0015.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:703eb5a50f5dee3e0a32bf174fe70853343383763e21f27f6dbcefca9bb8e46e
+size 102549342

training_metrics_0015.json

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+{"0.0015": [{"training_loss": 8.64516019821167, "training_accuracy": 0.390625, "fgsm_loss": 0.05568869411945343, "adversarial_accuracy": 0.0, "validation_accuracy": 1.5625}, {"training_loss": 8.64002275466919, "training_accuracy": 0.78125, "fgsm_loss": 0.054422713816165924, "adversarial_accuracy": 0.0, "validation_accuracy": 4.6875}, {"training_loss": 8.632238864898682, "training_accuracy": 7.8125, "fgsm_loss": 0.053415730595588684, "adversarial_accuracy": 0.78125, "validation_accuracy": 21.09375}, {"training_loss": 8.623228073120117, "training_accuracy": 20.703125, "fgsm_loss": 0.052019642665982246, "adversarial_accuracy": 4.6875, "validation_accuracy": 44.53125}, {"training_loss": 8.613454341888428, "training_accuracy": 40.625, "fgsm_loss": 0.05061529576778412, "adversarial_accuracy": 12.890625, "validation_accuracy": 59.375}, {"training_loss": 8.602991580963135, "training_accuracy": 63.671875, "fgsm_loss": 0.049181923270225525, "adversarial_accuracy": 23.4375, "validation_accuracy": 72.65625}]}