: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 354, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 354, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 354, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 354, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5494 Epoch 355, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 355, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 355, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 355, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 355, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 356, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 356, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 356, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 356, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 356, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 357, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 357, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 357, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 357, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 357, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 358, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 358, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 358, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 358, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 358, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 359, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 359, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 359, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 359, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 359, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 360, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 360, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 360, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 360, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 360, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 361, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 361, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 361, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 361, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 361, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 362, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 362, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 362, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 362, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 362, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 363, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 363, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5688 Epoch 363, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 363, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 363, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 364, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 364, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 364, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 364, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 364, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 365, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5588 Epoch 365, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 365, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 365, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 365, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 366, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 366, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 366, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 366, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 366, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 367, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5688 Epoch 367, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 367, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 367, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 367, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 368, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 368, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5506 Epoch 368, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 368, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 368, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 369, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 369, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 369, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 369, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 369, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 370, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 370, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 370, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 370, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 370, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 371, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 371, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 371, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 371, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 371, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 372, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5636 Epoch 372, CIFAR-10 Batch 2: Loss: 465.2211 | Validation Accuracy: 0.5708 Epoch 372, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 372, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 372, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 373, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 373, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 373, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 373, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 373, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 374, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 374, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5668 Epoch 374, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 374, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 374, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 375, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 375, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 375, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 375, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 375, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 376, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 376, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 376, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 376, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 376, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5638 Epoch 377, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 377, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 377, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 377, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 377, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 378, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 378, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 378, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 378, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 378, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 379, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 379, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5612 Epoch 379, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5560 Epoch 379, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5634 Epoch 379, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5640 Epoch 380, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 380, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5648 Epoch 380, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 380, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 380, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 381, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 381, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 381, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 381, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 381, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 382, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 382, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 382, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 382, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 382, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 383, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 383, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 383, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 383, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 383, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 384, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 384, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 384, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 384, CIFAR-10 Batch 4: Loss: 196.7754 | Validation Accuracy: 0.5706 Epoch 384, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 385, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 385, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 385, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 385, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 385, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 386, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 386, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 386, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5672 Epoch 386, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5666 Epoch 386, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 387, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 387, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 387, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 387, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 387, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5654 Epoch 388, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 388, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 388, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 388, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 388, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 389, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 389, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 389, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5650 Epoch 389, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 389, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 390, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 390, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5622 Epoch 390, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 390, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 390, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 391, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 391, CIFAR-10 Batch 2: Loss: 151.3515 | Validation Accuracy: 0.5724 Epoch 391, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 391, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 391, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 392, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 392, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 392, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 392, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 392, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 393, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 393, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 393, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 393, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 393, CIFAR-10 Batch 5: Loss: 15.3077 | Validation Accuracy: 0.5726 Epoch 394, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 394, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 394, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 394, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 394, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 395, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 395, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 395, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 395, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 395, CIFAR-10 Batch 5: Loss: 214.6339 | Validation Accuracy: 0.5572 Epoch 396, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 396, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 396, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 396, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5550 Epoch 396, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 397, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 397, CIFAR-10 Batch 2: Loss: 557.1469 | Validation Accuracy: 0.5706 Epoch 397, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 397, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 397, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 398, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 398, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 398, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 398, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 398, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 399, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5930 Epoch 399, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 399, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 399, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 399, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 400, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 400, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 400, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 400, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 400, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 401, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 401, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 401, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 401, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 401, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 402, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 402, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 402, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 402, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 402, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5642 Epoch 403, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 403, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 403, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5624 Epoch 403, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 403, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 404, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 404, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 404, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5632 Epoch 404, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 404, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 405, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 405, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 405, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 405, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 405, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 406, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 406, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 406, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 406, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 406, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 407, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 407, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 407, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 407, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 407, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 408, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 408, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 408, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 408, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 408, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 409, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 409, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 409, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 409, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 409, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 410, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 410, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 410, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 410, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 410, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 411, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 411, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 411, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 411, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 411, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 412, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 412, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 412, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 412, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 412, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 413, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 413, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 413, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 413, CIFAR-10 Batch 4: Loss: 298.5016 | Validation Accuracy: 0.5772 Epoch 413, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 414, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 414, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 414, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 414, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 414, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 415, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 415, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 415, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 415, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 415, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 416, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 416, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5936 Epoch 416, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 416, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 416, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 417, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 417, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 417, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 417, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 417, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 418, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 418, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 418, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 418, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 418, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 419, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 419, CIFAR-10 Batch 2: Loss: 133.0121 | Validation Accuracy: 0.5750 Epoch 419, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 419, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 419, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 420, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 420, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 420, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 420, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 420, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 421, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5656 Epoch 421, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 421, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 421, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 421, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 422, CIFAR-10 Batch 1: Loss: 38.1316 | Validation Accuracy: 0.5836 Epoch 422, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5680 Epoch 422, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5632 Epoch 422, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 422, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 423, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 423, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5704 Epoch 423, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 423, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5694 Epoch 423, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 424, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5698 Epoch 424, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 424, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 424, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 424, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 425, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 425, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 425, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 425, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 425, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 426, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 426, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 426, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 426, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 426, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 427, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 427, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 427, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 427, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 427, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 428, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 428, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 428, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 428, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 428, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 429, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 429, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 429, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 429, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 429, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5582 Epoch 430, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 430, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 430, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 430, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 430, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 431, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 431, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 431, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 431, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 431, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 432, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 432, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 432, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 432, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 432, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 433, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 433, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 433, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 433, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 433, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 434, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 434, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 434, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 434, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 434, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 435, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 435, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 435, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 435, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 435, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5692 Epoch 436, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 436, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 436, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5562 Epoch 436, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 436, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5684 Epoch 437, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5718 Epoch 437, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 437, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 437, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 437, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5706 Epoch 438, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5532 Epoch 438, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 438, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 438, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 438, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 439, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 439, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 439, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 439, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 439, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 440, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 440, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 440, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 440, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 440, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 441, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5608 Epoch 441, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 441, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5658 Epoch 441, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 441, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 442, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 442, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 442, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 442, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5738 Epoch 442, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 443, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 443, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 443, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 443, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 443, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 444, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 444, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 444, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 444, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 444, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 445, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 445, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 445, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 445, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 445, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 446, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 446, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 446, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5662 Epoch 446, CIFAR-10 Batch 4: Loss: 18.0859 | Validation Accuracy: 0.5752 Epoch 446, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 447, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 447, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 447, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5702 Epoch 447, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 447, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5674 Epoch 448, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 448, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 448, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 448, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 448, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 449, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 449, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 449, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 449, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 449, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 450, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 450, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 450, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 450, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 450, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 451, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5678 Epoch 451, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 451, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 451, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 451, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 452, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 452, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 452, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 452, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 452, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 453, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 453, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 453, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 453, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 453, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 454, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 454, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 454, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 454, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 454, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 455, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 455, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 455, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 455, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 455, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 456, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 456, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 456, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5768 Epoch 456, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 456, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 457, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 457, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 457, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 457, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 457, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 458, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 458, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 458, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 458, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 458, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5720 Epoch 459, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 459, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 459, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 459, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 459, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 460, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 460, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 460, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 460, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 460, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 461, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 461, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 461, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 461, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 461, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 462, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 462, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 462, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 462, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5914 Epoch 462, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 463, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 463, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 463, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 463, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 463, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 464, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 464, CIFAR-10 Batch 2: Loss: 1324.2480 | Validation Accuracy: 0.5752 Epoch 464, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 464, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 464, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 465, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 465, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 465, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 465, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 465, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 466, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 466, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 466, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 466, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 466, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 467, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 467, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 467, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 467, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 467, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 468, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 468, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 468, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 468, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 468, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 469, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 469, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 469, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 469, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 469, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 470, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 470, CIFAR-10 Batch 2: Loss: 108.4684 | Validation Accuracy: 0.5772 Epoch 470, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 470, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 470, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 471, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 471, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 471, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 471, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 471, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 472, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 472, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 472, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5686 Epoch 472, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 472, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 473, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 473, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 473, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 473, CIFAR-10 Batch 4: Loss: 993.8922 | Validation Accuracy: 0.5770 Epoch 473, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 474, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 474, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5714 Epoch 474, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 474, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 474, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 475, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 475, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 475, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 475, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 475, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 476, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 476, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 476, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 476, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 476, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5732 Epoch 477, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 477, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 477, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 477, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 477, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 478, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 478, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 478, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5644 Epoch 478, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 478, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 479, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 479, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 479, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 479, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 479, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 480, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 480, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 480, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 480, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 480, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 481, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 481, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 481, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 481, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 481, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 482, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 482, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 482, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 482, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 482, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 483, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 483, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 483, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 483, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 483, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 484, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 484, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 484, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 484, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 484, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 485, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5780 Epoch 485, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 485, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 485, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 485, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 486, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 486, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 486, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5762 Epoch 486, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 486, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 487, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 487, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 487, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5602 Epoch 487, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 487, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 488, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 488, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5600 Epoch 488, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 488, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 488, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 489, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 489, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 489, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 489, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 489, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 490, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 490, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 490, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 490, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 490, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 491, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 491, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 491, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 491, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 491, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 492, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 492, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 492, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 492, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 492, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5716 Epoch 493, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 493, CIFAR-10 Batch 2: Loss: 157.3156 | Validation Accuracy: 0.5854 Epoch 493, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 493, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 493, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 494, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 494, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 494, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 494, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 494, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 495, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 495, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 495, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 495, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 495, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 496, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 496, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 496, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 496, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 496, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 497, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 497, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 497, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 497, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 497, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 498, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 498, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 498, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 498, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 498, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 499, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 499, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 499, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 499, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 499, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 500, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 500, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 500, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 500, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 500, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5670 Epoch 501, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 501, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 501, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 501, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5708 Epoch 501, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 502, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 502, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 502, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 502, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 502, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 503, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 503, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 503, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 503, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 503, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 504, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 504, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 504, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 504, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 504, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 505, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 505, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 505, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 505, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 505, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 506, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 506, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 506, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 506, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 506, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 507, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 507, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 507, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 507, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 507, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 508, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 508, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 508, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 508, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 508, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5690 Epoch 509, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 509, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 509, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5584 Epoch 509, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 509, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 510, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 510, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 510, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 510, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 510, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 511, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 511, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 511, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5744 Epoch 511, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 511, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 512, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 512, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5760 Epoch 512, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 512, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 512, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 513, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 513, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 513, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 513, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 513, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 514, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5834 Epoch 514, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 514, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 514, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5764 Epoch 514, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 515, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 515, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 515, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 515, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 515, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 516, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 516, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 516, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5742 Epoch 516, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 516, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 517, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 517, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 517, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 517, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 517, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 518, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 518, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 518, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 518, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 518, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 519, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 519, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 519, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 519, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5734 Epoch 519, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 520, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 520, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 520, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 520, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 520, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 521, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 521, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 521, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5726 Epoch 521, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 521, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 522, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 522, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 522, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 522, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 522, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 523, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 523, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 523, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5724 Epoch 523, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 523, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5950 Epoch 524, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 524, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 524, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 524, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 524, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 525, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 525, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 525, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5696 Epoch 525, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5752 Epoch 525, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 526, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5770 Epoch 526, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 526, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 526, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 526, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 527, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 527, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 527, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 527, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 527, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 528, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 528, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 528, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 528, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5934 Epoch 528, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 529, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 529, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 529, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 529, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 529, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 530, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 530, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 530, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 530, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 530, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 531, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5740 Epoch 531, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 531, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 531, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 531, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 532, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 532, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 532, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 532, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5666 Epoch 532, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 533, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 533, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 533, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 533, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 533, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 534, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 534, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 534, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 534, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 534, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 535, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 535, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 535, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 535, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 535, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 536, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 536, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 536, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 536, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 536, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 537, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 537, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 537, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 537, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 537, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 538, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 538, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 538, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 538, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 538, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 539, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 539, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 539, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5860 Epoch 539, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 539, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 540, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5922 Epoch 540, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 540, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 540, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 540, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 541, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 541, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 541, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5728 Epoch 541, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 541, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5806 Epoch 542, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 542, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 542, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 542, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 542, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 543, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 543, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 543, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 543, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5960 Epoch 543, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 544, CIFAR-10 Batch 1: Loss: 32.1133 | Validation Accuracy: 0.5876 Epoch 544, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 544, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5664 Epoch 544, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 544, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 545, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 545, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5948 Epoch 545, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 545, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 545, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5912 Epoch 546, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 546, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5956 Epoch 546, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5936 Epoch 546, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 546, CIFAR-10 Batch 5: Loss: 510.1130 | Validation Accuracy: 0.5630 Epoch 547, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 547, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 547, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5808 Epoch 547, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 547, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 548, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 548, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 548, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 548, CIFAR-10 Batch 4: Loss: 21.5482 | Validation Accuracy: 0.5870 Epoch 548, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 549, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 549, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 549, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 549, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5942 Epoch 549, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 550, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5948 Epoch 550, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5908 Epoch 550, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 550, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 550, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 551, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 551, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 551, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 551, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 551, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 552, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 552, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 552, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 552, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 552, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 553, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5928 Epoch 553, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 553, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 553, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 553, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 554, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5934 Epoch 554, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5946 Epoch 554, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.6006 Epoch 554, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 554, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 555, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 555, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 555, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 555, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5966 Epoch 555, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 556, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5756 Epoch 556, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 556, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 556, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 556, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5712 Epoch 557, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 557, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 557, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 557, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 557, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5956 Epoch 558, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5960 Epoch 558, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 558, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 558, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 558, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 559, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5962 Epoch 559, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 559, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 559, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 559, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 560, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5754 Epoch 560, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 560, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 560, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5710 Epoch 560, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 561, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 561, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5900 Epoch 561, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 561, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5802 Epoch 561, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5700 Epoch 562, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 562, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 562, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 562, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 562, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 563, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 563, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5880 Epoch 563, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 563, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 563, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5896 Epoch 564, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 564, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 564, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 564, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 564, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5944 Epoch 565, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 565, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 565, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 565, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 565, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5938 Epoch 566, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5940 Epoch 566, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 566, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 566, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 566, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 567, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 567, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5942 Epoch 567, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5916 Epoch 567, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 567, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5928 Epoch 568, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5812 Epoch 568, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5956 Epoch 568, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 568, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 568, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 569, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5772 Epoch 569, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 569, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 569, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 569, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 570, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 570, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 570, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5842 Epoch 570, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 570, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 571, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 571, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 571, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5820 Epoch 571, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 571, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 572, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5746 Epoch 572, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5814 Epoch 572, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 572, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 572, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 573, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 573, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 573, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5854 Epoch 573, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 573, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5786 Epoch 574, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5934 Epoch 574, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 574, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5916 Epoch 574, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.6000 Epoch 574, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 575, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 575, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 575, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 575, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.6016 Epoch 575, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 576, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 576, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5966 Epoch 576, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 576, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 576, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 577, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5938 Epoch 577, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5932 Epoch 577, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 577, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5810 Epoch 577, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5824 Epoch 578, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 578, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.6000 Epoch 578, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 578, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 578, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5950 Epoch 579, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5888 Epoch 579, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5942 Epoch 579, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 579, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5838 Epoch 579, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 580, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5840 Epoch 580, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 580, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 580, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 580, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 581, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 581, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 581, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5784 Epoch 581, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5736 Epoch 581, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 582, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5758 Epoch 582, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 582, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5682 Epoch 582, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 582, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5906 Epoch 583, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5964 Epoch 583, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5926 Epoch 583, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 583, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 583, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5858 Epoch 584, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5952 Epoch 584, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5918 Epoch 584, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5924 Epoch 584, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 584, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 585, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 585, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5952 Epoch 585, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 585, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5782 Epoch 585, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5796 Epoch 586, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5798 Epoch 586, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5950 Epoch 586, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 586, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5836 Epoch 586, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5816 Epoch 587, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 587, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5660 Epoch 587, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5766 Epoch 587, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5852 Epoch 587, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 588, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5890 Epoch 588, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5774 Epoch 588, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5794 Epoch 588, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5818 Epoch 588, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 589, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5964 Epoch 589, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 589, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5898 Epoch 589, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 589, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5788 Epoch 590, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5886 Epoch 590, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5776 Epoch 590, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5748 Epoch 590, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 590, CIFAR-10 Batch 5: Loss: 438.3211 | Validation Accuracy: 0.5908 Epoch 591, CIFAR-10 Batch 1: Loss: 210.7636 | Validation Accuracy: 0.5902 Epoch 591, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5778 Epoch 591, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5892 Epoch 591, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 591, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5828 Epoch 592, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 592, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5908 Epoch 592, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5750 Epoch 592, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5930 Epoch 592, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5804 Epoch 593, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 593, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5884 Epoch 593, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5874 Epoch 593, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5848 Epoch 593, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5930 Epoch 594, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5902 Epoch 594, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5908 Epoch 594, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5882 Epoch 594, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5850 Epoch 594, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5922 Epoch 595, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5894 Epoch 595, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5868 Epoch 595, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5822 Epoch 595, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5904 Epoch 595, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 596, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5876 Epoch 596, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 596, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 596, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5832 Epoch 596, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 597, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5920 Epoch 597, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 597, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5914 Epoch 597, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5846 Epoch 597, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5730 Epoch 598, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5792 Epoch 598, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5872 Epoch 598, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5878 Epoch 598, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5864 Epoch 598, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5862 Epoch 599, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5844 Epoch 599, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5856 Epoch 599, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5830 Epoch 599, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5910 Epoch 599, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5866 Epoch 600, CIFAR-10 Batch 1: Loss: 0.0000 | Validation Accuracy: 0.5870 Epoch 600, CIFAR-10 Batch 2: Loss: 0.0000 | Validation Accuracy: 0.5826 Epoch 600, CIFAR-10 Batch 3: Loss: 0.0000 | Validation Accuracy: 0.5800 Epoch 600, CIFAR-10 Batch 4: Loss: 0.0000 | Validation Accuracy: 0.5790 Epoch 600, CIFAR-10 Batch 5: Loss: 0.0000 | Validation Accuracy: 0.5760
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import tensorflow as tf
import pickle
import helper
import random
# Set batch size if not already set
try:
if batch_size:
pass
except NameError:
batch_size = 64
save_model_path = './image_classification'
n_samples = 4
top_n_predictions = 3
def test_model():
"""
Test the saved model against the test dataset
"""
test_features, test_labels = pickle.load(open('preprocess_training.p', mode='rb'))
loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
# Load model
loader = tf.train.import_meta_graph(save_model_path + '.meta')
loader.restore(sess, save_model_path)
# Get Tensors from loaded model
loaded_x = loaded_graph.get_tensor_by_name('x:0')
loaded_y = loaded_graph.get_tensor_by_name('y:0')
loaded_keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')
loaded_logits = loaded_graph.get_tensor_by_name('logits:0')
loaded_acc = loaded_graph.get_tensor_by_name('accuracy:0')
# Get accuracy in batches for memory limitations
test_batch_acc_total = 0
test_batch_count = 0
for train_feature_batch, train_label_batch in helper.batch_features_labels(test_features, test_labels, batch_size):
test_batch_acc_total += sess.run(
loaded_acc,
feed_dict={loaded_x: train_feature_batch, loaded_y: train_label_batch, loaded_keep_prob: 1.0})
test_batch_count += 1
print('Testing Accuracy: {}\n'.format(test_batch_acc_total/test_batch_count))
# Print Random Samples
random_test_features, random_test_labels = tuple(zip(*random.sample(list(zip(test_features, test_labels)), n_samples)))
random_test_predictions = sess.run(
tf.nn.top_k(tf.nn.softmax(loaded_logits), top_n_predictions),
feed_dict={loaded_x: random_test_features, loaded_y: random_test_labels, loaded_keep_prob: 1.0})
helper.display_image_predictions(random_test_features, random_test_labels, random_test_predictions)
test_model()
Testing Accuracy: 0.5728515625
You might be wondering why you can't get an accuracy any higher. First things first, 50% isn't bad for a simple CNN. Pure guessing would get you 10% accuracy. However, you might notice people are getting scores well above 70%. That's because we haven't taught you all there is to know about neural networks. We still need to cover a few more techniques.
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_image_classification.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.