Epoch 0 Batch 0/1077 - Train Accuracy: 0.305, Validation Accuracy: 0.319, Loss: 5.881 Epoch 0 Batch 1/1077 - Train Accuracy: 0.233, Validation Accuracy: 0.319, Loss: 5.822 Epoch 0 Batch 2/1077 - Train Accuracy: 0.206, Validation Accuracy: 0.305, Loss: 5.494 Epoch 0 Batch 3/1077 - Train Accuracy: 0.239, Validation Accuracy: 0.305, Loss: 5.006 Epoch 0 Batch 4/1077 - Train Accuracy: 0.237, Validation Accuracy: 0.319, Loss: 4.585 Epoch 0 Batch 5/1077 - Train Accuracy: 0.273, Validation Accuracy: 0.319, Loss: 4.095 Epoch 0 Batch 6/1077 - Train Accuracy: 0.255, Validation Accuracy: 0.319, Loss: 3.797 Epoch 0 Batch 7/1077 - Train Accuracy: 0.258, Validation Accuracy: 0.335, Loss: 3.706 Epoch 0 Batch 8/1077 - Train Accuracy: 0.269, Validation Accuracy: 0.337, Loss: 3.587 Epoch 0 Batch 9/1077 - Train Accuracy: 0.274, Validation Accuracy: 0.337, Loss: 3.468 Epoch 0 Batch 10/1077 - Train Accuracy: 0.238, Validation Accuracy: 0.339, Loss: 3.611 Epoch 0 Batch 11/1077 - Train Accuracy: 0.305, Validation Accuracy: 0.351, Loss: 3.345 Epoch 0 Batch 12/1077 - Train Accuracy: 0.275, Validation Accuracy: 0.351, Loss: 3.425 Epoch 0 Batch 13/1077 - Train Accuracy: 0.315, Validation Accuracy: 0.343, Loss: 3.235 Epoch 0 Batch 14/1077 - Train Accuracy: 0.294, Validation Accuracy: 0.339, Loss: 3.203 Epoch 0 Batch 15/1077 - Train Accuracy: 0.293, Validation Accuracy: 0.356, Loss: 3.318 Epoch 0 Batch 16/1077 - Train Accuracy: 0.295, Validation Accuracy: 0.340, Loss: 3.281 Epoch 0 Batch 17/1077 - Train Accuracy: 0.289, Validation Accuracy: 0.339, Loss: 3.233 Epoch 0 Batch 18/1077 - Train Accuracy: 0.301, Validation Accuracy: 0.363, Loss: 3.282 Epoch 0 Batch 19/1077 - Train Accuracy: 0.317, Validation Accuracy: 0.363, Loss: 3.158 Epoch 0 Batch 20/1077 - Train Accuracy: 0.302, Validation Accuracy: 0.366, Loss: 3.178 Epoch 0 Batch 21/1077 - Train Accuracy: 0.295, Validation Accuracy: 0.369, Loss: 3.214 Epoch 0 Batch 22/1077 - Train Accuracy: 0.312, Validation Accuracy: 0.382, Loss: 3.181 Epoch 0 Batch 23/1077 - Train Accuracy: 0.310, Validation Accuracy: 0.374, Loss: 3.323 Epoch 0 Batch 24/1077 - Train Accuracy: 0.305, Validation Accuracy: 0.366, Loss: 3.160 Epoch 0 Batch 25/1077 - Train Accuracy: 0.308, Validation Accuracy: 0.386, Loss: 3.247 Epoch 0 Batch 26/1077 - Train Accuracy: 0.306, Validation Accuracy: 0.386, Loss: 3.147 Epoch 0 Batch 27/1077 - Train Accuracy: 0.354, Validation Accuracy: 0.376, Loss: 2.950 Epoch 0 Batch 28/1077 - Train Accuracy: 0.320, Validation Accuracy: 0.373, Loss: 3.100 Epoch 0 Batch 29/1077 - Train Accuracy: 0.311, Validation Accuracy: 0.368, Loss: 3.075 Epoch 0 Batch 30/1077 - Train Accuracy: 0.304, Validation Accuracy: 0.373, Loss: 3.087 Epoch 0 Batch 31/1077 - Train Accuracy: 0.312, Validation Accuracy: 0.379, Loss: 3.127 Epoch 0 Batch 32/1077 - Train Accuracy: 0.360, Validation Accuracy: 0.378, Loss: 2.936 Epoch 0 Batch 33/1077 - Train Accuracy: 0.355, Validation Accuracy: 0.389, Loss: 2.965 Epoch 0 Batch 34/1077 - Train Accuracy: 0.318, Validation Accuracy: 0.380, Loss: 3.013 Epoch 0 Batch 35/1077 - Train Accuracy: 0.318, Validation Accuracy: 0.380, Loss: 3.040 Epoch 0 Batch 36/1077 - Train Accuracy: 0.325, Validation Accuracy: 0.385, Loss: 3.072 Epoch 0 Batch 37/1077 - Train Accuracy: 0.323, Validation Accuracy: 0.384, Loss: 3.032 Epoch 0 Batch 38/1077 - Train Accuracy: 0.290, Validation Accuracy: 0.385, Loss: 3.222 Epoch 0 Batch 39/1077 - Train Accuracy: 0.320, Validation Accuracy: 0.385, Loss: 3.055 Epoch 0 Batch 40/1077 - Train Accuracy: 0.327, Validation Accuracy: 0.393, Loss: 3.019 Epoch 0 Batch 41/1077 - Train Accuracy: 0.358, Validation Accuracy: 0.394, Loss: 2.877 Epoch 0 Batch 42/1077 - Train Accuracy: 0.330, Validation Accuracy: 0.392, Loss: 2.972 Epoch 0 Batch 43/1077 - Train Accuracy: 0.306, Validation Accuracy: 0.393, Loss: 2.990 Epoch 0 Batch 44/1077 - Train Accuracy: 0.279, Validation Accuracy: 0.385, Loss: 3.111 Epoch 0 Batch 45/1077 - Train Accuracy: 0.324, Validation Accuracy: 0.389, Loss: 2.977 Epoch 0 Batch 46/1077 - Train Accuracy: 0.306, Validation Accuracy: 0.388, Loss: 3.037 Epoch 0 Batch 47/1077 - Train Accuracy: 0.337, Validation Accuracy: 0.391, Loss: 2.917 Epoch 0 Batch 48/1077 - Train Accuracy: 0.341, Validation Accuracy: 0.388, Loss: 2.890 Epoch 0 Batch 49/1077 - Train Accuracy: 0.354, Validation Accuracy: 0.388, Loss: 2.841 Epoch 0 Batch 50/1077 - Train Accuracy: 0.333, Validation Accuracy: 0.398, Loss: 2.927 Epoch 0 Batch 51/1077 - Train Accuracy: 0.369, Validation Accuracy: 0.405, Loss: 2.833 Epoch 0 Batch 52/1077 - Train Accuracy: 0.335, Validation Accuracy: 0.398, Loss: 2.889 Epoch 0 Batch 53/1077 - Train Accuracy: 0.326, Validation Accuracy: 0.401, Loss: 2.922 Epoch 0 Batch 54/1077 - Train Accuracy: 0.339, Validation Accuracy: 0.410, Loss: 2.951 Epoch 0 Batch 55/1077 - Train Accuracy: 0.379, Validation Accuracy: 0.418, Loss: 2.792 Epoch 0 Batch 56/1077 - Train Accuracy: 0.345, Validation Accuracy: 0.406, Loss: 2.829 Epoch 0 Batch 57/1077 - Train Accuracy: 0.449, Validation Accuracy: 0.440, Loss: 2.605 Epoch 0 Batch 58/1077 - Train Accuracy: 0.354, Validation Accuracy: 0.408, Loss: 2.833 Epoch 0 Batch 59/1077 - Train Accuracy: 0.322, Validation Accuracy: 0.417, Loss: 2.955 Epoch 0 Batch 60/1077 - Train Accuracy: 0.381, Validation Accuracy: 0.411, Loss: 2.691 Epoch 0 Batch 61/1077 - Train Accuracy: 0.353, Validation Accuracy: 0.413, Loss: 2.789 Epoch 0 Batch 62/1077 - Train Accuracy: 0.337, Validation Accuracy: 0.429, Loss: 2.943 Epoch 0 Batch 63/1077 - Train Accuracy: 0.396, Validation Accuracy: 0.422, Loss: 2.606 Epoch 0 Batch 64/1077 - Train Accuracy: 0.373, Validation Accuracy: 0.427, Loss: 2.816 Epoch 0 Batch 65/1077 - Train Accuracy: 0.329, Validation Accuracy: 0.423, Loss: 2.890 Epoch 0 Batch 66/1077 - Train Accuracy: 0.364, Validation Accuracy: 0.429, Loss: 2.701 Epoch 0 Batch 67/1077 - Train Accuracy: 0.411, Validation Accuracy: 0.425, Loss: 2.616 Epoch 0 Batch 68/1077 - Train Accuracy: 0.353, Validation Accuracy: 0.428, Loss: 2.746 Epoch 0 Batch 69/1077 - Train Accuracy: 0.401, Validation Accuracy: 0.434, Loss: 2.708 Epoch 0 Batch 70/1077 - Train Accuracy: 0.349, Validation Accuracy: 0.434, Loss: 2.805 Epoch 0 Batch 71/1077 - Train Accuracy: 0.375, Validation Accuracy: 0.444, Loss: 2.679 Epoch 0 Batch 72/1077 - Train Accuracy: 0.400, Validation Accuracy: 0.449, Loss: 2.668 Epoch 0 Batch 73/1077 - Train Accuracy: 0.402, Validation Accuracy: 0.451, Loss: 2.670 Epoch 0 Batch 74/1077 - Train Accuracy: 0.419, Validation Accuracy: 0.450, Loss: 2.557 Epoch 0 Batch 75/1077 - Train Accuracy: 0.410, Validation Accuracy: 0.445, Loss: 2.569 Epoch 0 Batch 76/1077 - Train Accuracy: 0.400, Validation Accuracy: 0.447, Loss: 2.619 Epoch 0 Batch 77/1077 - Train Accuracy: 0.387, Validation Accuracy: 0.455, Loss: 2.632 Epoch 0 Batch 78/1077 - Train Accuracy: 0.374, Validation Accuracy: 0.464, Loss: 2.729 Epoch 0 Batch 79/1077 - Train Accuracy: 0.411, Validation Accuracy: 0.460, Loss: 2.639 Epoch 0 Batch 80/1077 - Train Accuracy: 0.414, Validation Accuracy: 0.455, Loss: 2.556 Epoch 0 Batch 81/1077 - Train Accuracy: 0.413, Validation Accuracy: 0.456, Loss: 2.551 Epoch 0 Batch 82/1077 - Train Accuracy: 0.467, Validation Accuracy: 0.457, Loss: 2.363 Epoch 0 Batch 83/1077 - Train Accuracy: 0.387, Validation Accuracy: 0.465, Loss: 2.670 Epoch 0 Batch 84/1077 - Train Accuracy: 0.412, Validation Accuracy: 0.473, Loss: 2.533 Epoch 0 Batch 85/1077 - Train Accuracy: 0.423, Validation Accuracy: 0.468, Loss: 2.440 Epoch 0 Batch 86/1077 - Train Accuracy: 0.418, Validation Accuracy: 0.469, Loss: 2.557 Epoch 0 Batch 87/1077 - Train Accuracy: 0.425, Validation Accuracy: 0.466, Loss: 2.536 Epoch 0 Batch 88/1077 - Train Accuracy: 0.431, Validation Accuracy: 0.463, Loss: 2.496 Epoch 0 Batch 89/1077 - Train Accuracy: 0.432, Validation Accuracy: 0.474, Loss: 2.508 Epoch 0 Batch 90/1077 - Train Accuracy: 0.418, Validation Accuracy: 0.473, Loss: 2.569 Epoch 0 Batch 91/1077 - Train Accuracy: 0.469, Validation Accuracy: 0.480, Loss: 2.290 Epoch 0 Batch 92/1077 - Train Accuracy: 0.437, Validation Accuracy: 0.469, Loss: 2.449 Epoch 0 Batch 93/1077 - Train Accuracy: 0.414, Validation Accuracy: 0.472, Loss: 2.502 Epoch 0 Batch 94/1077 - Train Accuracy: 0.450, Validation Accuracy: 0.485, Loss: 2.405 Epoch 0 Batch 95/1077 - Train Accuracy: 0.466, Validation Accuracy: 0.482, Loss: 2.388 Epoch 0 Batch 96/1077 - Train Accuracy: 0.420, Validation Accuracy: 0.470, Loss: 2.438 Epoch 0 Batch 97/1077 - Train Accuracy: 0.439, Validation Accuracy: 0.472, Loss: 2.423 Epoch 0 Batch 98/1077 - Train Accuracy: 0.464, Validation Accuracy: 0.480, Loss: 2.321 Epoch 0 Batch 99/1077 - Train Accuracy: 0.420, Validation Accuracy: 0.486, Loss: 2.527 Epoch 0 Batch 100/1077 - Train Accuracy: 0.421, Validation Accuracy: 0.474, Loss: 2.455 Epoch 0 Batch 101/1077 - Train Accuracy: 0.449, Validation Accuracy: 0.495, Loss: 2.403 Epoch 0 Batch 102/1077 - Train Accuracy: 0.468, Validation Accuracy: 0.499, Loss: 2.320 Epoch 0 Batch 103/1077 - Train Accuracy: 0.398, Validation Accuracy: 0.490, Loss: 2.550 Epoch 0 Batch 104/1077 - Train Accuracy: 0.355, Validation Accuracy: 0.454, Loss: 2.596 Epoch 0 Batch 105/1077 - Train Accuracy: 0.438, Validation Accuracy: 0.486, Loss: 2.426 Epoch 0 Batch 106/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.485, Loss: 2.489 Epoch 0 Batch 107/1077 - Train Accuracy: 0.469, Validation Accuracy: 0.495, Loss: 2.326 Epoch 0 Batch 108/1077 - Train Accuracy: 0.453, Validation Accuracy: 0.459, Loss: 2.202 Epoch 0 Batch 109/1077 - Train Accuracy: 0.457, Validation Accuracy: 0.499, Loss: 2.416 Epoch 0 Batch 110/1077 - Train Accuracy: 0.455, Validation Accuracy: 0.479, Loss: 2.309 Epoch 0 Batch 111/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.494, Loss: 2.468 Epoch 0 Batch 112/1077 - Train Accuracy: 0.409, Validation Accuracy: 0.461, Loss: 2.399 Epoch 0 Batch 113/1077 - Train Accuracy: 0.414, Validation Accuracy: 0.482, Loss: 2.456 Epoch 0 Batch 114/1077 - Train Accuracy: 0.466, Validation Accuracy: 0.486, Loss: 2.315 Epoch 0 Batch 115/1077 - Train Accuracy: 0.425, Validation Accuracy: 0.484, Loss: 2.459 Epoch 0 Batch 116/1077 - Train Accuracy: 0.397, Validation Accuracy: 0.480, Loss: 2.469 Epoch 0 Batch 117/1077 - Train Accuracy: 0.384, Validation Accuracy: 0.466, Loss: 2.479 Epoch 0 Batch 118/1077 - Train Accuracy: 0.405, Validation Accuracy: 0.497, Loss: 2.519 Epoch 0 Batch 119/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.493, Loss: 2.384 Epoch 0 Batch 120/1077 - Train Accuracy: 0.440, Validation Accuracy: 0.498, Loss: 2.395 Epoch 0 Batch 121/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.488, Loss: 2.334 Epoch 0 Batch 122/1077 - Train Accuracy: 0.429, Validation Accuracy: 0.480, Loss: 2.338 Epoch 0 Batch 123/1077 - Train Accuracy: 0.461, Validation Accuracy: 0.500, Loss: 2.305 Epoch 0 Batch 124/1077 - Train Accuracy: 0.441, Validation Accuracy: 0.494, Loss: 2.338 Epoch 0 Batch 125/1077 - Train Accuracy: 0.458, Validation Accuracy: 0.491, Loss: 2.309 Epoch 0 Batch 126/1077 - Train Accuracy: 0.459, Validation Accuracy: 0.487, Loss: 2.244 Epoch 0 Batch 127/1077 - Train Accuracy: 0.455, Validation Accuracy: 0.500, Loss: 2.297 Epoch 0 Batch 128/1077 - Train Accuracy: 0.493, Validation Accuracy: 0.500, Loss: 2.201 Epoch 0 Batch 129/1077 - Train Accuracy: 0.464, Validation Accuracy: 0.498, Loss: 2.307 Epoch 0 Batch 130/1077 - Train Accuracy: 0.457, Validation Accuracy: 0.487, Loss: 2.226 Epoch 0 Batch 131/1077 - Train Accuracy: 0.421, Validation Accuracy: 0.473, Loss: 2.363 Epoch 0 Batch 132/1077 - Train Accuracy: 0.418, Validation Accuracy: 0.500, Loss: 2.410 Epoch 0 Batch 133/1077 - Train Accuracy: 0.435, Validation Accuracy: 0.500, Loss: 2.349 Epoch 0 Batch 134/1077 - Train Accuracy: 0.466, Validation Accuracy: 0.501, Loss: 2.232 Epoch 0 Batch 135/1077 - Train Accuracy: 0.434, Validation Accuracy: 0.494, Loss: 2.322 Epoch 0 Batch 136/1077 - Train Accuracy: 0.452, Validation Accuracy: 0.496, Loss: 2.265 Epoch 0 Batch 137/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.500, Loss: 2.144 Epoch 0 Batch 138/1077 - Train Accuracy: 0.447, Validation Accuracy: 0.498, Loss: 2.265 Epoch 0 Batch 139/1077 - Train Accuracy: 0.452, Validation Accuracy: 0.493, Loss: 2.235 Epoch 0 Batch 140/1077 - Train Accuracy: 0.413, Validation Accuracy: 0.504, Loss: 2.392 Epoch 0 Batch 141/1077 - Train Accuracy: 0.446, Validation Accuracy: 0.503, Loss: 2.326 Epoch 0 Batch 142/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.498, Loss: 2.112 Epoch 0 Batch 143/1077 - Train Accuracy: 0.453, Validation Accuracy: 0.494, Loss: 2.219 Epoch 0 Batch 144/1077 - Train Accuracy: 0.426, Validation Accuracy: 0.498, Loss: 2.350 Epoch 0 Batch 145/1077 - Train Accuracy: 0.479, Validation Accuracy: 0.488, Loss: 2.161 Epoch 0 Batch 146/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.500, Loss: 2.188 Epoch 0 Batch 147/1077 - Train Accuracy: 0.429, Validation Accuracy: 0.497, Loss: 2.274 Epoch 0 Batch 148/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.507, Loss: 2.191 Epoch 0 Batch 149/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.506, Loss: 2.271 Epoch 0 Batch 150/1077 - Train Accuracy: 0.491, Validation Accuracy: 0.508, Loss: 2.092 Epoch 0 Batch 151/1077 - Train Accuracy: 0.477, Validation Accuracy: 0.507, Loss: 2.127 Epoch 0 Batch 152/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.511, Loss: 2.175 Epoch 0 Batch 153/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.495, Loss: 2.254 Epoch 0 Batch 154/1077 - Train Accuracy: 0.419, Validation Accuracy: 0.509, Loss: 2.346 Epoch 0 Batch 155/1077 - Train Accuracy: 0.450, Validation Accuracy: 0.494, Loss: 2.145 Epoch 0 Batch 156/1077 - Train Accuracy: 0.446, Validation Accuracy: 0.505, Loss: 2.199 Epoch 0 Batch 157/1077 - Train Accuracy: 0.430, Validation Accuracy: 0.493, Loss: 2.170 Epoch 0 Batch 158/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.516, Loss: 2.167 Epoch 0 Batch 159/1077 - Train Accuracy: 0.475, Validation Accuracy: 0.508, Loss: 2.064 Epoch 0 Batch 160/1077 - Train Accuracy: 0.448, Validation Accuracy: 0.501, Loss: 2.143 Epoch 0 Batch 161/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.495, Loss: 2.158 Epoch 0 Batch 162/1077 - Train Accuracy: 0.459, Validation Accuracy: 0.504, Loss: 2.163 Epoch 0 Batch 163/1077 - Train Accuracy: 0.447, Validation Accuracy: 0.509, Loss: 2.197 Epoch 0 Batch 164/1077 - Train Accuracy: 0.429, Validation Accuracy: 0.493, Loss: 2.169 Epoch 0 Batch 165/1077 - Train Accuracy: 0.416, Validation Accuracy: 0.493, Loss: 2.135 Epoch 0 Batch 166/1077 - Train Accuracy: 0.486, Validation Accuracy: 0.498, Loss: 1.992 Epoch 0 Batch 167/1077 - Train Accuracy: 0.441, Validation Accuracy: 0.499, Loss: 2.169 Epoch 0 Batch 168/1077 - Train Accuracy: 0.417, Validation Accuracy: 0.490, Loss: 2.168 Epoch 0 Batch 169/1077 - Train Accuracy: 0.492, Validation Accuracy: 0.502, Loss: 1.939 Epoch 0 Batch 170/1077 - Train Accuracy: 0.427, Validation Accuracy: 0.500, Loss: 2.179 Epoch 0 Batch 171/1077 - Train Accuracy: 0.449, Validation Accuracy: 0.487, Loss: 1.999 Epoch 0 Batch 172/1077 - Train Accuracy: 0.445, Validation Accuracy: 0.484, Loss: 1.967 Epoch 0 Batch 173/1077 - Train Accuracy: 0.409, Validation Accuracy: 0.501, Loss: 2.238 Epoch 0 Batch 174/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.504, Loss: 2.043 Epoch 0 Batch 175/1077 - Train Accuracy: 0.471, Validation Accuracy: 0.496, Loss: 1.978 Epoch 0 Batch 176/1077 - Train Accuracy: 0.440, Validation Accuracy: 0.493, Loss: 2.029 Epoch 0 Batch 177/1077 - Train Accuracy: 0.399, Validation Accuracy: 0.478, Loss: 2.133 Epoch 0 Batch 178/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.480, Loss: 2.007 Epoch 0 Batch 179/1077 - Train Accuracy: 0.433, Validation Accuracy: 0.492, Loss: 2.093 Epoch 0 Batch 180/1077 - Train Accuracy: 0.467, Validation Accuracy: 0.502, Loss: 1.990 Epoch 0 Batch 181/1077 - Train Accuracy: 0.448, Validation Accuracy: 0.488, Loss: 1.993 Epoch 0 Batch 182/1077 - Train Accuracy: 0.453, Validation Accuracy: 0.493, Loss: 1.974 Epoch 0 Batch 183/1077 - Train Accuracy: 0.423, Validation Accuracy: 0.488, Loss: 2.074 Epoch 0 Batch 184/1077 - Train Accuracy: 0.461, Validation Accuracy: 0.487, Loss: 1.963 Epoch 0 Batch 185/1077 - Train Accuracy: 0.441, Validation Accuracy: 0.502, Loss: 1.954 Epoch 0 Batch 186/1077 - Train Accuracy: 0.457, Validation Accuracy: 0.501, Loss: 2.019 Epoch 0 Batch 187/1077 - Train Accuracy: 0.423, Validation Accuracy: 0.485, Loss: 1.998 Epoch 0 Batch 188/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.488, Loss: 1.950 Epoch 0 Batch 189/1077 - Train Accuracy: 0.423, Validation Accuracy: 0.490, Loss: 2.019 Epoch 0 Batch 190/1077 - Train Accuracy: 0.469, Validation Accuracy: 0.502, Loss: 1.971 Epoch 0 Batch 191/1077 - Train Accuracy: 0.491, Validation Accuracy: 0.496, Loss: 1.785 Epoch 0 Batch 192/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.493, Loss: 1.954 Epoch 0 Batch 193/1077 - Train Accuracy: 0.451, Validation Accuracy: 0.489, Loss: 1.837 Epoch 0 Batch 194/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.500, Loss: 1.798 Epoch 0 Batch 195/1077 - Train Accuracy: 0.438, Validation Accuracy: 0.518, Loss: 1.925 Epoch 0 Batch 196/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.483, Loss: 1.836 Epoch 0 Batch 197/1077 - Train Accuracy: 0.467, Validation Accuracy: 0.504, Loss: 1.840 Epoch 0 Batch 198/1077 - Train Accuracy: 0.482, Validation Accuracy: 0.494, Loss: 1.754 Epoch 0 Batch 199/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.474, Loss: 1.893 Epoch 0 Batch 200/1077 - Train Accuracy: 0.439, Validation Accuracy: 0.515, Loss: 1.891 Epoch 0 Batch 201/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.520, Loss: 1.728 Epoch 0 Batch 202/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.503, Loss: 1.851 Epoch 0 Batch 203/1077 - Train Accuracy: 0.466, Validation Accuracy: 0.513, Loss: 1.779 Epoch 0 Batch 204/1077 - Train Accuracy: 0.463, Validation Accuracy: 0.509, Loss: 1.796 Epoch 0 Batch 205/1077 - Train Accuracy: 0.476, Validation Accuracy: 0.516, Loss: 1.837 Epoch 0 Batch 206/1077 - Train Accuracy: 0.463, Validation Accuracy: 0.500, Loss: 1.813 Epoch 0 Batch 207/1077 - Train Accuracy: 0.432, Validation Accuracy: 0.490, Loss: 1.827 Epoch 0 Batch 208/1077 - Train Accuracy: 0.486, Validation Accuracy: 0.511, Loss: 1.737 Epoch 0 Batch 209/1077 - Train Accuracy: 0.499, Validation Accuracy: 0.515, Loss: 1.648 Epoch 0 Batch 210/1077 - Train Accuracy: 0.451, Validation Accuracy: 0.483, Loss: 1.769 Epoch 0 Batch 211/1077 - Train Accuracy: 0.476, Validation Accuracy: 0.520, Loss: 1.723 Epoch 0 Batch 212/1077 - Train Accuracy: 0.492, Validation Accuracy: 0.516, Loss: 1.632 Epoch 0 Batch 213/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.521, Loss: 1.658 Epoch 0 Batch 214/1077 - Train Accuracy: 0.459, Validation Accuracy: 0.506, Loss: 1.692 Epoch 0 Batch 215/1077 - Train Accuracy: 0.461, Validation Accuracy: 0.519, Loss: 1.700 Epoch 0 Batch 216/1077 - Train Accuracy: 0.472, Validation Accuracy: 0.521, Loss: 1.694 Epoch 0 Batch 217/1077 - Train Accuracy: 0.433, Validation Accuracy: 0.457, Loss: 1.602 Epoch 0 Batch 218/1077 - Train Accuracy: 0.465, Validation Accuracy: 0.520, Loss: 1.823 Epoch 0 Batch 219/1077 - Train Accuracy: 0.455, Validation Accuracy: 0.489, Loss: 1.658 Epoch 0 Batch 220/1077 - Train Accuracy: 0.408, Validation Accuracy: 0.485, Loss: 1.647 Epoch 0 Batch 221/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.521, Loss: 1.638 Epoch 0 Batch 222/1077 - Train Accuracy: 0.447, Validation Accuracy: 0.522, Loss: 1.727 Epoch 0 Batch 223/1077 - Train Accuracy: 0.459, Validation Accuracy: 0.471, Loss: 1.534 Epoch 0 Batch 224/1077 - Train Accuracy: 0.472, Validation Accuracy: 0.497, Loss: 1.631 Epoch 0 Batch 225/1077 - Train Accuracy: 0.465, Validation Accuracy: 0.515, Loss: 1.611 Epoch 0 Batch 226/1077 - Train Accuracy: 0.462, Validation Accuracy: 0.494, Loss: 1.559 Epoch 0 Batch 227/1077 - Train Accuracy: 0.446, Validation Accuracy: 0.513, Loss: 1.631 Epoch 0 Batch 228/1077 - Train Accuracy: 0.510, Validation Accuracy: 0.516, Loss: 1.515 Epoch 0 Batch 229/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.501, Loss: 1.539 Epoch 0 Batch 230/1077 - Train Accuracy: 0.475, Validation Accuracy: 0.483, Loss: 1.442 Epoch 0 Batch 231/1077 - Train Accuracy: 0.458, Validation Accuracy: 0.488, Loss: 1.507 Epoch 0 Batch 232/1077 - Train Accuracy: 0.425, Validation Accuracy: 0.487, Loss: 1.580 Epoch 0 Batch 233/1077 - Train Accuracy: 0.439, Validation Accuracy: 0.484, Loss: 1.593 Epoch 0 Batch 234/1077 - Train Accuracy: 0.492, Validation Accuracy: 0.485, Loss: 1.476 Epoch 0 Batch 235/1077 - Train Accuracy: 0.510, Validation Accuracy: 0.516, Loss: 1.393 Epoch 0 Batch 236/1077 - Train Accuracy: 0.475, Validation Accuracy: 0.509, Loss: 1.513 Epoch 0 Batch 237/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.491, Loss: 1.374 Epoch 0 Batch 238/1077 - Train Accuracy: 0.519, Validation Accuracy: 0.536, Loss: 1.513 Epoch 0 Batch 239/1077 - Train Accuracy: 0.501, Validation Accuracy: 0.521, Loss: 1.392 Epoch 0 Batch 240/1077 - Train Accuracy: 0.469, Validation Accuracy: 0.486, Loss: 1.426 Epoch 0 Batch 241/1077 - Train Accuracy: 0.519, Validation Accuracy: 0.526, Loss: 1.370 Epoch 0 Batch 242/1077 - Train Accuracy: 0.460, Validation Accuracy: 0.515, Loss: 1.452 Epoch 0 Batch 243/1077 - Train Accuracy: 0.393, Validation Accuracy: 0.473, Loss: 1.468 Epoch 0 Batch 244/1077 - Train Accuracy: 0.486, Validation Accuracy: 0.476, Loss: 1.370 Epoch 0 Batch 245/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.506, Loss: 1.361 Epoch 0 Batch 246/1077 - Train Accuracy: 0.427, Validation Accuracy: 0.470, Loss: 1.418 Epoch 0 Batch 247/1077 - Train Accuracy: 0.490, Validation Accuracy: 0.481, Loss: 1.318 Epoch 0 Batch 248/1077 - Train Accuracy: 0.494, Validation Accuracy: 0.502, Loss: 1.378 Epoch 0 Batch 249/1077 - Train Accuracy: 0.469, Validation Accuracy: 0.494, Loss: 1.363 Epoch 0 Batch 250/1077 - Train Accuracy: 0.474, Validation Accuracy: 0.486, Loss: 1.276 Epoch 0 Batch 251/1077 - Train Accuracy: 0.494, Validation Accuracy: 0.523, Loss: 1.373 Epoch 0 Batch 252/1077 - Train Accuracy: 0.490, Validation Accuracy: 0.529, Loss: 1.344 Epoch 0 Batch 253/1077 - Train Accuracy: 0.496, Validation Accuracy: 0.511, Loss: 1.323 Epoch 0 Batch 254/1077 - Train Accuracy: 0.454, Validation Accuracy: 0.505, Loss: 1.386 Epoch 0 Batch 255/1077 - Train Accuracy: 0.508, Validation Accuracy: 0.548, Loss: 1.382 Epoch 0 Batch 256/1077 - Train Accuracy: 0.479, Validation Accuracy: 0.546, Loss: 1.385 Epoch 0 Batch 257/1077 - Train Accuracy: 0.480, Validation Accuracy: 0.496, Loss: 1.308 Epoch 0 Batch 258/1077 - Train Accuracy: 0.507, Validation Accuracy: 0.525, Loss: 1.292 Epoch 0 Batch 259/1077 - Train Accuracy: 0.481, Validation Accuracy: 0.527, Loss: 1.334 Epoch 0 Batch 260/1077 - Train Accuracy: 0.499, Validation Accuracy: 0.510, Loss: 1.269 Epoch 0 Batch 261/1077 - Train Accuracy: 0.461, Validation Accuracy: 0.495, Loss: 1.281 Epoch 0 Batch 262/1077 - Train Accuracy: 0.454, Validation Accuracy: 0.518, Loss: 1.307 Epoch 0 Batch 263/1077 - Train Accuracy: 0.491, Validation Accuracy: 0.533, Loss: 1.277 Epoch 0 Batch 264/1077 - Train Accuracy: 0.463, Validation Accuracy: 0.543, Loss: 1.335 Epoch 0 Batch 265/1077 - Train Accuracy: 0.457, Validation Accuracy: 0.483, Loss: 1.264 Epoch 0 Batch 266/1077 - Train Accuracy: 0.497, Validation Accuracy: 0.535, Loss: 1.252 Epoch 0 Batch 267/1077 - Train Accuracy: 0.494, Validation Accuracy: 0.492, Loss: 1.207 Epoch 0 Batch 268/1077 - Train Accuracy: 0.488, Validation Accuracy: 0.535, Loss: 1.279 Epoch 0 Batch 269/1077 - Train Accuracy: 0.463, Validation Accuracy: 0.522, Loss: 1.367 Epoch 0 Batch 270/1077 - Train Accuracy: 0.436, Validation Accuracy: 0.530, Loss: 1.353 Epoch 0 Batch 271/1077 - Train Accuracy: 0.493, Validation Accuracy: 0.535, Loss: 1.286 Epoch 0 Batch 272/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.528, Loss: 1.265 Epoch 0 Batch 273/1077 - Train Accuracy: 0.490, Validation Accuracy: 0.528, Loss: 1.219 Epoch 0 Batch 274/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.533, Loss: 1.234 Epoch 0 Batch 275/1077 - Train Accuracy: 0.490, Validation Accuracy: 0.537, Loss: 1.210 Epoch 0 Batch 276/1077 - Train Accuracy: 0.459, Validation Accuracy: 0.537, Loss: 1.303 Epoch 0 Batch 277/1077 - Train Accuracy: 0.488, Validation Accuracy: 0.528, Loss: 1.186 Epoch 0 Batch 278/1077 - Train Accuracy: 0.464, Validation Accuracy: 0.533, Loss: 1.292 Epoch 0 Batch 279/1077 - Train Accuracy: 0.450, Validation Accuracy: 0.531, Loss: 1.320 Epoch 0 Batch 280/1077 - Train Accuracy: 0.507, Validation Accuracy: 0.528, Loss: 1.262 Epoch 0 Batch 281/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.520, Loss: 1.258 Epoch 0 Batch 282/1077 - Train Accuracy: 0.468, Validation Accuracy: 0.538, Loss: 1.297 Epoch 0 Batch 283/1077 - Train Accuracy: 0.492, Validation Accuracy: 0.537, Loss: 1.241 Epoch 0 Batch 284/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.512, Loss: 1.263 Epoch 0 Batch 285/1077 - Train Accuracy: 0.519, Validation Accuracy: 0.518, Loss: 1.170 Epoch 0 Batch 286/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.516, Loss: 1.124 Epoch 0 Batch 287/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.523, Loss: 1.170 Epoch 0 Batch 288/1077 - Train Accuracy: 0.452, Validation Accuracy: 0.526, Loss: 1.255 Epoch 0 Batch 289/1077 - Train Accuracy: 0.456, Validation Accuracy: 0.521, Loss: 1.175 Epoch 0 Batch 290/1077 - Train Accuracy: 0.471, Validation Accuracy: 0.515, Loss: 1.223 Epoch 0 Batch 291/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.514, Loss: 1.189 Epoch 0 Batch 292/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.504, Loss: 1.151 Epoch 0 Batch 293/1077 - Train Accuracy: 0.423, Validation Accuracy: 0.510, Loss: 1.225 Epoch 0 Batch 294/1077 - Train Accuracy: 0.521, Validation Accuracy: 0.526, Loss: 1.079 Epoch 0 Batch 295/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.543, Loss: 1.270 Epoch 0 Batch 296/1077 - Train Accuracy: 0.504, Validation Accuracy: 0.535, Loss: 1.091 Epoch 0 Batch 297/1077 - Train Accuracy: 0.448, Validation Accuracy: 0.499, Loss: 1.237 Epoch 0 Batch 298/1077 - Train Accuracy: 0.453, Validation Accuracy: 0.512, Loss: 1.219 Epoch 0 Batch 299/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.520, Loss: 1.110 Epoch 0 Batch 300/1077 - Train Accuracy: 0.437, Validation Accuracy: 0.521, Loss: 1.200 Epoch 0 Batch 301/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.533, Loss: 1.144 Epoch 0 Batch 302/1077 - Train Accuracy: 0.522, Validation Accuracy: 0.535, Loss: 1.117 Epoch 0 Batch 303/1077 - Train Accuracy: 0.472, Validation Accuracy: 0.544, Loss: 1.162 Epoch 0 Batch 304/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.542, Loss: 1.069 Epoch 0 Batch 305/1077 - Train Accuracy: 0.491, Validation Accuracy: 0.541, Loss: 1.127 Epoch 0 Batch 306/1077 - Train Accuracy: 0.489, Validation Accuracy: 0.536, Loss: 1.095 Epoch 0 Batch 307/1077 - Train Accuracy: 0.469, Validation Accuracy: 0.522, Loss: 1.122 Epoch 0 Batch 308/1077 - Train Accuracy: 0.459, Validation Accuracy: 0.522, Loss: 1.208 Epoch 0 Batch 309/1077 - Train Accuracy: 0.498, Validation Accuracy: 0.518, Loss: 1.091 Epoch 0 Batch 310/1077 - Train Accuracy: 0.449, Validation Accuracy: 0.524, Loss: 1.138 Epoch 0 Batch 311/1077 - Train Accuracy: 0.528, Validation Accuracy: 0.531, Loss: 1.059 Epoch 0 Batch 312/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.544, Loss: 1.156 Epoch 0 Batch 313/1077 - Train Accuracy: 0.460, Validation Accuracy: 0.518, Loss: 1.129 Epoch 0 Batch 314/1077 - Train Accuracy: 0.480, Validation Accuracy: 0.523, Loss: 1.081 Epoch 0 Batch 315/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.521, Loss: 1.054 Epoch 0 Batch 316/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.538, Loss: 1.061 Epoch 0 Batch 317/1077 - Train Accuracy: 0.477, Validation Accuracy: 0.517, Loss: 1.171 Epoch 0 Batch 318/1077 - Train Accuracy: 0.454, Validation Accuracy: 0.536, Loss: 1.105 Epoch 0 Batch 319/1077 - Train Accuracy: 0.477, Validation Accuracy: 0.530, Loss: 1.107 Epoch 0 Batch 320/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.537, Loss: 1.121 Epoch 0 Batch 321/1077 - Train Accuracy: 0.495, Validation Accuracy: 0.538, Loss: 1.056 Epoch 0 Batch 322/1077 - Train Accuracy: 0.485, Validation Accuracy: 0.545, Loss: 1.058 Epoch 0 Batch 323/1077 - Train Accuracy: 0.489, Validation Accuracy: 0.523, Loss: 1.054 Epoch 0 Batch 324/1077 - Train Accuracy: 0.467, Validation Accuracy: 0.537, Loss: 1.088 Epoch 0 Batch 325/1077 - Train Accuracy: 0.505, Validation Accuracy: 0.511, Loss: 1.036 Epoch 0 Batch 326/1077 - Train Accuracy: 0.499, Validation Accuracy: 0.508, Loss: 1.024 Epoch 0 Batch 327/1077 - Train Accuracy: 0.463, Validation Accuracy: 0.516, Loss: 1.088 Epoch 0 Batch 328/1077 - Train Accuracy: 0.506, Validation Accuracy: 0.532, Loss: 1.078 Epoch 0 Batch 329/1077 - Train Accuracy: 0.450, Validation Accuracy: 0.507, Loss: 1.110 Epoch 0 Batch 330/1077 - Train Accuracy: 0.516, Validation Accuracy: 0.526, Loss: 1.066 Epoch 0 Batch 331/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.512, Loss: 1.062 Epoch 0 Batch 332/1077 - Train Accuracy: 0.489, Validation Accuracy: 0.516, Loss: 0.978 Epoch 0 Batch 333/1077 - Train Accuracy: 0.480, Validation Accuracy: 0.527, Loss: 1.070 Epoch 0 Batch 334/1077 - Train Accuracy: 0.480, Validation Accuracy: 0.517, Loss: 1.069 Epoch 0 Batch 335/1077 - Train Accuracy: 0.531, Validation Accuracy: 0.522, Loss: 0.975 Epoch 0 Batch 336/1077 - Train Accuracy: 0.488, Validation Accuracy: 0.532, Loss: 1.066 Epoch 0 Batch 337/1077 - Train Accuracy: 0.458, Validation Accuracy: 0.526, Loss: 1.077 Epoch 0 Batch 338/1077 - Train Accuracy: 0.472, Validation Accuracy: 0.516, Loss: 1.065 Epoch 0 Batch 339/1077 - Train Accuracy: 0.479, Validation Accuracy: 0.521, Loss: 0.999 Epoch 0 Batch 340/1077 - Train Accuracy: 0.457, Validation Accuracy: 0.534, Loss: 1.066 Epoch 0 Batch 341/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.536, Loss: 1.052 Epoch 0 Batch 342/1077 - Train Accuracy: 0.490, Validation Accuracy: 0.538, Loss: 1.006 Epoch 0 Batch 343/1077 - Train Accuracy: 0.476, Validation Accuracy: 0.529, Loss: 1.040 Epoch 0 Batch 344/1077 - Train Accuracy: 0.475, Validation Accuracy: 0.543, Loss: 1.048 Epoch 0 Batch 345/1077 - Train Accuracy: 0.505, Validation Accuracy: 0.558, Loss: 0.984 Epoch 0 Batch 346/1077 - Train Accuracy: 0.482, Validation Accuracy: 0.531, Loss: 1.050 Epoch 0 Batch 347/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.541, Loss: 0.992 Epoch 0 Batch 348/1077 - Train Accuracy: 0.513, Validation Accuracy: 0.526, Loss: 0.961 Epoch 0 Batch 349/1077 - Train Accuracy: 0.475, Validation Accuracy: 0.538, Loss: 1.031 Epoch 0 Batch 350/1077 - Train Accuracy: 0.464, Validation Accuracy: 0.555, Loss: 1.086 Epoch 0 Batch 351/1077 - Train Accuracy: 0.472, Validation Accuracy: 0.547, Loss: 1.095 Epoch 0 Batch 352/1077 - Train Accuracy: 0.440, Validation Accuracy: 0.510, Loss: 1.044 Epoch 0 Batch 353/1077 - Train Accuracy: 0.454, Validation Accuracy: 0.529, Loss: 1.106 Epoch 0 Batch 354/1077 - Train Accuracy: 0.470, Validation Accuracy: 0.528, Loss: 1.045 Epoch 0 Batch 355/1077 - Train Accuracy: 0.474, Validation Accuracy: 0.530, Loss: 1.014 Epoch 0 Batch 356/1077 - Train Accuracy: 0.505, Validation Accuracy: 0.548, Loss: 1.021 Epoch 0 Batch 357/1077 - Train Accuracy: 0.538, Validation Accuracy: 0.538, Loss: 0.956 Epoch 0 Batch 358/1077 - Train Accuracy: 0.458, Validation Accuracy: 0.525, Loss: 1.042 Epoch 0 Batch 359/1077 - Train Accuracy: 0.510, Validation Accuracy: 0.537, Loss: 0.995 Epoch 0 Batch 360/1077 - Train Accuracy: 0.508, Validation Accuracy: 0.529, Loss: 0.998 Epoch 0 Batch 361/1077 - Train Accuracy: 0.497, Validation Accuracy: 0.523, Loss: 1.023 Epoch 0 Batch 362/1077 - Train Accuracy: 0.513, Validation Accuracy: 0.537, Loss: 1.017 Epoch 0 Batch 363/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.528, Loss: 1.026 Epoch 0 Batch 364/1077 - Train Accuracy: 0.443, Validation Accuracy: 0.507, Loss: 1.011 Epoch 0 Batch 365/1077 - Train Accuracy: 0.454, Validation Accuracy: 0.510, Loss: 1.009 Epoch 0 Batch 366/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.532, Loss: 1.002 Epoch 0 Batch 367/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.537, Loss: 0.907 Epoch 0 Batch 368/1077 - Train Accuracy: 0.501, Validation Accuracy: 0.543, Loss: 1.001 Epoch 0 Batch 369/1077 - Train Accuracy: 0.491, Validation Accuracy: 0.515, Loss: 0.956 Epoch 0 Batch 370/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.541, Loss: 0.960 Epoch 0 Batch 371/1077 - Train Accuracy: 0.505, Validation Accuracy: 0.536, Loss: 0.955 Epoch 0 Batch 372/1077 - Train Accuracy: 0.501, Validation Accuracy: 0.536, Loss: 0.969 Epoch 0 Batch 373/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.549, Loss: 0.908 Epoch 0 Batch 374/1077 - Train Accuracy: 0.473, Validation Accuracy: 0.537, Loss: 1.040 Epoch 0 Batch 375/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.535, Loss: 0.903 Epoch 0 Batch 376/1077 - Train Accuracy: 0.528, Validation Accuracy: 0.541, Loss: 0.923 Epoch 0 Batch 377/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.547, Loss: 0.987 Epoch 0 Batch 378/1077 - Train Accuracy: 0.482, Validation Accuracy: 0.556, Loss: 0.952 Epoch 0 Batch 379/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.558, Loss: 0.993 Epoch 0 Batch 380/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.537, Loss: 0.933 Epoch 0 Batch 381/1077 - Train Accuracy: 0.492, Validation Accuracy: 0.544, Loss: 0.978 Epoch 0 Batch 382/1077 - Train Accuracy: 0.533, Validation Accuracy: 0.557, Loss: 0.990 Epoch 0 Batch 383/1077 - Train Accuracy: 0.538, Validation Accuracy: 0.540, Loss: 0.915 Epoch 0 Batch 384/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.543, Loss: 0.972 Epoch 0 Batch 385/1077 - Train Accuracy: 0.514, Validation Accuracy: 0.532, Loss: 0.964 Epoch 0 Batch 386/1077 - Train Accuracy: 0.503, Validation Accuracy: 0.544, Loss: 0.935 Epoch 0 Batch 387/1077 - Train Accuracy: 0.535, Validation Accuracy: 0.556, Loss: 0.915 Epoch 0 Batch 388/1077 - Train Accuracy: 0.537, Validation Accuracy: 0.554, Loss: 0.929 Epoch 0 Batch 389/1077 - Train Accuracy: 0.522, Validation Accuracy: 0.540, Loss: 0.933 Epoch 0 Batch 390/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.544, Loss: 1.004 Epoch 0 Batch 391/1077 - Train Accuracy: 0.556, Validation Accuracy: 0.548, Loss: 0.917 Epoch 0 Batch 392/1077 - Train Accuracy: 0.485, Validation Accuracy: 0.526, Loss: 0.935 Epoch 0 Batch 393/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.536, Loss: 0.900 Epoch 0 Batch 394/1077 - Train Accuracy: 0.493, Validation Accuracy: 0.534, Loss: 0.971 Epoch 0 Batch 395/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.538, Loss: 0.893 Epoch 0 Batch 396/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.538, Loss: 0.932 Epoch 0 Batch 397/1077 - Train Accuracy: 0.563, Validation Accuracy: 0.537, Loss: 0.882 Epoch 0 Batch 398/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.537, Loss: 0.988 Epoch 0 Batch 399/1077 - Train Accuracy: 0.478, Validation Accuracy: 0.542, Loss: 1.022 Epoch 0 Batch 400/1077 - Train Accuracy: 0.518, Validation Accuracy: 0.540, Loss: 0.959 Epoch 0 Batch 401/1077 - Train Accuracy: 0.512, Validation Accuracy: 0.529, Loss: 0.939 Epoch 0 Batch 402/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.529, Loss: 0.882 Epoch 0 Batch 403/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.542, Loss: 0.935 Epoch 0 Batch 404/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.546, Loss: 0.873 Epoch 0 Batch 405/1077 - Train Accuracy: 0.508, Validation Accuracy: 0.548, Loss: 0.984 Epoch 0 Batch 406/1077 - Train Accuracy: 0.549, Validation Accuracy: 0.538, Loss: 0.894 Epoch 0 Batch 407/1077 - Train Accuracy: 0.521, Validation Accuracy: 0.536, Loss: 0.975 Epoch 0 Batch 408/1077 - Train Accuracy: 0.531, Validation Accuracy: 0.537, Loss: 0.930 Epoch 0 Batch 409/1077 - Train Accuracy: 0.502, Validation Accuracy: 0.546, Loss: 0.917 Epoch 0 Batch 410/1077 - Train Accuracy: 0.477, Validation Accuracy: 0.549, Loss: 0.950 Epoch 0 Batch 411/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.549, Loss: 0.888 Epoch 0 Batch 412/1077 - Train Accuracy: 0.540, Validation Accuracy: 0.548, Loss: 0.884 Epoch 0 Batch 413/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.548, Loss: 0.913 Epoch 0 Batch 414/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.539, Loss: 0.943 Epoch 0 Batch 415/1077 - Train Accuracy: 0.540, Validation Accuracy: 0.543, Loss: 0.862 Epoch 0 Batch 416/1077 - Train Accuracy: 0.516, Validation Accuracy: 0.544, Loss: 0.901 Epoch 0 Batch 417/1077 - Train Accuracy: 0.520, Validation Accuracy: 0.554, Loss: 0.931 Epoch 0 Batch 418/1077 - Train Accuracy: 0.514, Validation Accuracy: 0.569, Loss: 0.887 Epoch 0 Batch 419/1077 - Train Accuracy: 0.516, Validation Accuracy: 0.566, Loss: 0.940 Epoch 0 Batch 420/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.558, Loss: 0.898 Epoch 0 Batch 421/1077 - Train Accuracy: 0.518, Validation Accuracy: 0.549, Loss: 0.921 Epoch 0 Batch 422/1077 - Train Accuracy: 0.524, Validation Accuracy: 0.542, Loss: 0.878 Epoch 0 Batch 423/1077 - Train Accuracy: 0.520, Validation Accuracy: 0.538, Loss: 0.919 Epoch 0 Batch 424/1077 - Train Accuracy: 0.505, Validation Accuracy: 0.535, Loss: 0.916 Epoch 0 Batch 425/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.545, Loss: 0.873 Epoch 0 Batch 426/1077 - Train Accuracy: 0.517, Validation Accuracy: 0.558, Loss: 0.919 Epoch 0 Batch 427/1077 - Train Accuracy: 0.512, Validation Accuracy: 0.552, Loss: 0.898 Epoch 0 Batch 428/1077 - Train Accuracy: 0.547, Validation Accuracy: 0.539, Loss: 0.846 Epoch 0 Batch 429/1077 - Train Accuracy: 0.553, Validation Accuracy: 0.537, Loss: 0.866 Epoch 0 Batch 430/1077 - Train Accuracy: 0.479, Validation Accuracy: 0.526, Loss: 0.896 Epoch 0 Batch 431/1077 - Train Accuracy: 0.507, Validation Accuracy: 0.539, Loss: 0.910 Epoch 0 Batch 432/1077 - Train Accuracy: 0.534, Validation Accuracy: 0.548, Loss: 0.895 Epoch 0 Batch 433/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.548, Loss: 0.893 Epoch 0 Batch 434/1077 - Train Accuracy: 0.496, Validation Accuracy: 0.551, Loss: 0.892 Epoch 0 Batch 435/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.557, Loss: 0.936 Epoch 0 Batch 436/1077 - Train Accuracy: 0.576, Validation Accuracy: 0.553, Loss: 0.837 Epoch 0 Batch 437/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.558, Loss: 0.896 Epoch 0 Batch 438/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.564, Loss: 0.871 Epoch 0 Batch 439/1077 - Train Accuracy: 0.520, Validation Accuracy: 0.565, Loss: 0.891 Epoch 0 Batch 440/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.553, Loss: 0.917 Epoch 0 Batch 441/1077 - Train Accuracy: 0.507, Validation Accuracy: 0.560, Loss: 0.882 Epoch 0 Batch 442/1077 - Train Accuracy: 0.517, Validation Accuracy: 0.558, Loss: 0.851 Epoch 0 Batch 443/1077 - Train Accuracy: 0.569, Validation Accuracy: 0.555, Loss: 0.826 Epoch 0 Batch 444/1077 - Train Accuracy: 0.522, Validation Accuracy: 0.542, Loss: 0.891 Epoch 0 Batch 445/1077 - Train Accuracy: 0.507, Validation Accuracy: 0.547, Loss: 0.922 Epoch 0 Batch 446/1077 - Train Accuracy: 0.525, Validation Accuracy: 0.546, Loss: 0.804 Epoch 0 Batch 447/1077 - Train Accuracy: 0.533, Validation Accuracy: 0.539, Loss: 0.886 Epoch 0 Batch 448/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.531, Loss: 0.890 Epoch 0 Batch 449/1077 - Train Accuracy: 0.502, Validation Accuracy: 0.533, Loss: 0.910 Epoch 0 Batch 450/1077 - Train Accuracy: 0.521, Validation Accuracy: 0.548, Loss: 0.859 Epoch 0 Batch 451/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.537, Loss: 0.835 Epoch 0 Batch 452/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.533, Loss: 0.867 Epoch 0 Batch 453/1077 - Train Accuracy: 0.568, Validation Accuracy: 0.544, Loss: 0.846 Epoch 0 Batch 454/1077 - Train Accuracy: 0.526, Validation Accuracy: 0.542, Loss: 0.879 Epoch 0 Batch 455/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.550, Loss: 0.819 Epoch 0 Batch 456/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.543, Loss: 0.863 Epoch 0 Batch 457/1077 - Train Accuracy: 0.528, Validation Accuracy: 0.548, Loss: 0.820 Epoch 0 Batch 458/1077 - Train Accuracy: 0.499, Validation Accuracy: 0.541, Loss: 0.860 Epoch 0 Batch 459/1077 - Train Accuracy: 0.567, Validation Accuracy: 0.561, Loss: 0.825 Epoch 0 Batch 460/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.555, Loss: 0.876 Epoch 0 Batch 461/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.560, Loss: 0.855 Epoch 0 Batch 462/1077 - Train Accuracy: 0.522, Validation Accuracy: 0.561, Loss: 0.833 Epoch 0 Batch 463/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.572, Loss: 0.862 Epoch 0 Batch 464/1077 - Train Accuracy: 0.574, Validation Accuracy: 0.575, Loss: 0.817 Epoch 0 Batch 465/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.579, Loss: 0.919 Epoch 0 Batch 466/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.564, Loss: 0.845 Epoch 0 Batch 467/1077 - Train Accuracy: 0.599, Validation Accuracy: 0.561, Loss: 0.813 Epoch 0 Batch 468/1077 - Train Accuracy: 0.548, Validation Accuracy: 0.551, Loss: 0.849 Epoch 0 Batch 469/1077 - Train Accuracy: 0.511, Validation Accuracy: 0.559, Loss: 0.859 Epoch 0 Batch 470/1077 - Train Accuracy: 0.498, Validation Accuracy: 0.561, Loss: 0.871 Epoch 0 Batch 471/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.566, Loss: 0.815 Epoch 0 Batch 472/1077 - Train Accuracy: 0.552, Validation Accuracy: 0.556, Loss: 0.826 Epoch 0 Batch 473/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.564, Loss: 0.868 Epoch 0 Batch 474/1077 - Train Accuracy: 0.525, Validation Accuracy: 0.551, Loss: 0.857 Epoch 0 Batch 475/1077 - Train Accuracy: 0.547, Validation Accuracy: 0.558, Loss: 0.818 Epoch 0 Batch 476/1077 - Train Accuracy: 0.499, Validation Accuracy: 0.553, Loss: 0.852 Epoch 0 Batch 477/1077 - Train Accuracy: 0.569, Validation Accuracy: 0.548, Loss: 0.779 Epoch 0 Batch 478/1077 - Train Accuracy: 0.531, Validation Accuracy: 0.560, Loss: 0.891 Epoch 0 Batch 479/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.562, Loss: 0.888 Epoch 0 Batch 480/1077 - Train Accuracy: 0.525, Validation Accuracy: 0.548, Loss: 0.864 Epoch 0 Batch 481/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.548, Loss: 0.842 Epoch 0 Batch 482/1077 - Train Accuracy: 0.513, Validation Accuracy: 0.568, Loss: 0.893 Epoch 0 Batch 483/1077 - Train Accuracy: 0.499, Validation Accuracy: 0.564, Loss: 0.838 Epoch 0 Batch 484/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.554, Loss: 0.847 Epoch 0 Batch 485/1077 - Train Accuracy: 0.543, Validation Accuracy: 0.546, Loss: 0.829 Epoch 0 Batch 486/1077 - Train Accuracy: 0.525, Validation Accuracy: 0.541, Loss: 0.849 Epoch 0 Batch 487/1077 - Train Accuracy: 0.508, Validation Accuracy: 0.545, Loss: 0.869 Epoch 0 Batch 488/1077 - Train Accuracy: 0.483, Validation Accuracy: 0.543, Loss: 0.861 Epoch 0 Batch 489/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.548, Loss: 0.799 Epoch 0 Batch 490/1077 - Train Accuracy: 0.538, Validation Accuracy: 0.548, Loss: 0.843 Epoch 0 Batch 491/1077 - Train Accuracy: 0.551, Validation Accuracy: 0.558, Loss: 0.810 Epoch 0 Batch 492/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.560, Loss: 0.847 Epoch 0 Batch 493/1077 - Train Accuracy: 0.568, Validation Accuracy: 0.561, Loss: 0.784 Epoch 0 Batch 494/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.568, Loss: 0.796 Epoch 0 Batch 495/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.564, Loss: 0.830 Epoch 0 Batch 496/1077 - Train Accuracy: 0.526, Validation Accuracy: 0.546, Loss: 0.849 Epoch 0 Batch 497/1077 - Train Accuracy: 0.483, Validation Accuracy: 0.545, Loss: 0.896 Epoch 0 Batch 498/1077 - Train Accuracy: 0.543, Validation Accuracy: 0.542, Loss: 0.813 Epoch 0 Batch 499/1077 - Train Accuracy: 0.531, Validation Accuracy: 0.553, Loss: 0.789 Epoch 0 Batch 500/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.554, Loss: 0.822 Epoch 0 Batch 501/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.562, Loss: 0.806 Epoch 0 Batch 502/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.559, Loss: 0.808 Epoch 0 Batch 503/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.573, Loss: 0.817 Epoch 0 Batch 504/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.568, Loss: 0.840 Epoch 0 Batch 505/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.566, Loss: 0.741 Epoch 0 Batch 506/1077 - Train Accuracy: 0.521, Validation Accuracy: 0.565, Loss: 0.827 Epoch 0 Batch 507/1077 - Train Accuracy: 0.511, Validation Accuracy: 0.562, Loss: 0.808 Epoch 0 Batch 508/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.555, Loss: 0.789 Epoch 0 Batch 509/1077 - Train Accuracy: 0.543, Validation Accuracy: 0.551, Loss: 0.827 Epoch 0 Batch 510/1077 - Train Accuracy: 0.554, Validation Accuracy: 0.559, Loss: 0.802 Epoch 0 Batch 511/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.567, Loss: 0.813 Epoch 0 Batch 512/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.564, Loss: 0.819 Epoch 0 Batch 513/1077 - Train Accuracy: 0.552, Validation Accuracy: 0.559, Loss: 0.815 Epoch 0 Batch 514/1077 - Train Accuracy: 0.517, Validation Accuracy: 0.563, Loss: 0.823 Epoch 0 Batch 515/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.554, Loss: 0.846 Epoch 0 Batch 516/1077 - Train Accuracy: 0.574, Validation Accuracy: 0.545, Loss: 0.757 Epoch 0 Batch 517/1077 - Train Accuracy: 0.587, Validation Accuracy: 0.552, Loss: 0.780 Epoch 0 Batch 518/1077 - Train Accuracy: 0.552, Validation Accuracy: 0.556, Loss: 0.801 Epoch 0 Batch 519/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.575, Loss: 0.814 Epoch 0 Batch 520/1077 - Train Accuracy: 0.574, Validation Accuracy: 0.570, Loss: 0.767 Epoch 0 Batch 521/1077 - Train Accuracy: 0.558, Validation Accuracy: 0.576, Loss: 0.783 Epoch 0 Batch 522/1077 - Train Accuracy: 0.517, Validation Accuracy: 0.569, Loss: 0.835 Epoch 0 Batch 523/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.564, Loss: 0.817 Epoch 0 Batch 524/1077 - Train Accuracy: 0.508, Validation Accuracy: 0.561, Loss: 0.816 Epoch 0 Batch 525/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.546, Loss: 0.809 Epoch 0 Batch 526/1077 - Train Accuracy: 0.512, Validation Accuracy: 0.551, Loss: 0.795 Epoch 0 Batch 527/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.558, Loss: 0.816 Epoch 0 Batch 528/1077 - Train Accuracy: 0.537, Validation Accuracy: 0.575, Loss: 0.783 Epoch 0 Batch 529/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.573, Loss: 0.787 Epoch 0 Batch 530/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.555, Loss: 0.811 Epoch 0 Batch 531/1077 - Train Accuracy: 0.531, Validation Accuracy: 0.555, Loss: 0.802 Epoch 0 Batch 532/1077 - Train Accuracy: 0.509, Validation Accuracy: 0.547, Loss: 0.839 Epoch 0 Batch 533/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.551, Loss: 0.820 Epoch 0 Batch 534/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.556, Loss: 0.776 Epoch 0 Batch 535/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.564, Loss: 0.788 Epoch 0 Batch 536/1077 - Train Accuracy: 0.571, Validation Accuracy: 0.558, Loss: 0.764 Epoch 0 Batch 537/1077 - Train Accuracy: 0.543, Validation Accuracy: 0.577, Loss: 0.787 Epoch 0 Batch 538/1077 - Train Accuracy: 0.574, Validation Accuracy: 0.574, Loss: 0.724 Epoch 0 Batch 539/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.567, Loss: 0.810 Epoch 0 Batch 540/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.549, Loss: 0.763 Epoch 0 Batch 541/1077 - Train Accuracy: 0.500, Validation Accuracy: 0.556, Loss: 0.811 Epoch 0 Batch 542/1077 - Train Accuracy: 0.548, Validation Accuracy: 0.551, Loss: 0.776 Epoch 0 Batch 543/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.549, Loss: 0.794 Epoch 0 Batch 544/1077 - Train Accuracy: 0.550, Validation Accuracy: 0.554, Loss: 0.785 Epoch 0 Batch 545/1077 - Train Accuracy: 0.519, Validation Accuracy: 0.541, Loss: 0.831 Epoch 0 Batch 546/1077 - Train Accuracy: 0.511, Validation Accuracy: 0.546, Loss: 0.826 Epoch 0 Batch 547/1077 - Train Accuracy: 0.569, Validation Accuracy: 0.565, Loss: 0.779 Epoch 0 Batch 548/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.568, Loss: 0.794 Epoch 0 Batch 549/1077 - Train Accuracy: 0.513, Validation Accuracy: 0.574, Loss: 0.836 Epoch 0 Batch 550/1077 - Train Accuracy: 0.525, Validation Accuracy: 0.578, Loss: 0.841 Epoch 0 Batch 551/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.586, Loss: 0.811 Epoch 0 Batch 552/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.582, Loss: 0.796 Epoch 0 Batch 553/1077 - Train Accuracy: 0.596, Validation Accuracy: 0.580, Loss: 0.772 Epoch 0 Batch 554/1077 - Train Accuracy: 0.535, Validation Accuracy: 0.566, Loss: 0.801 Epoch 0 Batch 555/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.555, Loss: 0.772 Epoch 0 Batch 556/1077 - Train Accuracy: 0.550, Validation Accuracy: 0.545, Loss: 0.772 Epoch 0 Batch 557/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.548, Loss: 0.784 Epoch 0 Batch 558/1077 - Train Accuracy: 0.548, Validation Accuracy: 0.555, Loss: 0.764 Epoch 0 Batch 559/1077 - Train Accuracy: 0.576, Validation Accuracy: 0.558, Loss: 0.758 Epoch 0 Batch 560/1077 - Train Accuracy: 0.549, Validation Accuracy: 0.558, Loss: 0.757 Epoch 0 Batch 561/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.554, Loss: 0.746 Epoch 0 Batch 562/1077 - Train Accuracy: 0.587, Validation Accuracy: 0.569, Loss: 0.728 Epoch 0 Batch 563/1077 - Train Accuracy: 0.524, Validation Accuracy: 0.563, Loss: 0.808 Epoch 0 Batch 564/1077 - Train Accuracy: 0.566, Validation Accuracy: 0.559, Loss: 0.820 Epoch 0 Batch 565/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.555, Loss: 0.759 Epoch 0 Batch 566/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.561, Loss: 0.792 Epoch 0 Batch 567/1077 - Train Accuracy: 0.545, Validation Accuracy: 0.560, Loss: 0.773 Epoch 0 Batch 568/1077 - Train Accuracy: 0.563, Validation Accuracy: 0.554, Loss: 0.748 Epoch 0 Batch 569/1077 - Train Accuracy: 0.576, Validation Accuracy: 0.558, Loss: 0.754 Epoch 0 Batch 570/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.559, Loss: 0.814 Epoch 0 Batch 571/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.562, Loss: 0.719 Epoch 0 Batch 572/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.574, Loss: 0.718 Epoch 0 Batch 573/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.579, Loss: 0.796 Epoch 0 Batch 574/1077 - Train Accuracy: 0.539, Validation Accuracy: 0.577, Loss: 0.799 Epoch 0 Batch 575/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.567, Loss: 0.770 Epoch 0 Batch 576/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.566, Loss: 0.792 Epoch 0 Batch 577/1077 - Train Accuracy: 0.527, Validation Accuracy: 0.566, Loss: 0.819 Epoch 0 Batch 578/1077 - Train Accuracy: 0.510, Validation Accuracy: 0.569, Loss: 0.798 Epoch 0 Batch 579/1077 - Train Accuracy: 0.569, Validation Accuracy: 0.576, Loss: 0.741 Epoch 0 Batch 580/1077 - Train Accuracy: 0.582, Validation Accuracy: 0.579, Loss: 0.697 Epoch 0 Batch 581/1077 - Train Accuracy: 0.558, Validation Accuracy: 0.579, Loss: 0.739 Epoch 0 Batch 582/1077 - Train Accuracy: 0.542, Validation Accuracy: 0.580, Loss: 0.763 Epoch 0 Batch 583/1077 - Train Accuracy: 0.487, Validation Accuracy: 0.580, Loss: 0.807 Epoch 0 Batch 584/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.563, Loss: 0.776 Epoch 0 Batch 585/1077 - Train Accuracy: 0.571, Validation Accuracy: 0.561, Loss: 0.711 Epoch 0 Batch 586/1077 - Train Accuracy: 0.520, Validation Accuracy: 0.573, Loss: 0.805 Epoch 0 Batch 587/1077 - Train Accuracy: 0.515, Validation Accuracy: 0.534, Loss: 0.725 Epoch 0 Batch 588/1077 - Train Accuracy: 0.501, Validation Accuracy: 0.495, Loss: 0.762 Epoch 0 Batch 589/1077 - Train Accuracy: 0.482, Validation Accuracy: 0.510, Loss: 0.797 Epoch 0 Batch 590/1077 - Train Accuracy: 0.520, Validation Accuracy: 0.565, Loss: 0.784 Epoch 0 Batch 591/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.571, Loss: 0.698 Epoch 0 Batch 592/1077 - Train Accuracy: 0.545, Validation Accuracy: 0.568, Loss: 0.767 Epoch 0 Batch 593/1077 - Train Accuracy: 0.563, Validation Accuracy: 0.579, Loss: 0.733 Epoch 0 Batch 594/1077 - Train Accuracy: 0.540, Validation Accuracy: 0.565, Loss: 0.779 Epoch 0 Batch 595/1077 - Train Accuracy: 0.549, Validation Accuracy: 0.560, Loss: 0.771 Epoch 0 Batch 596/1077 - Train Accuracy: 0.554, Validation Accuracy: 0.576, Loss: 0.768 Epoch 0 Batch 597/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.582, Loss: 0.769 Epoch 0 Batch 598/1077 - Train Accuracy: 0.568, Validation Accuracy: 0.580, Loss: 0.724 Epoch 0 Batch 599/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.589, Loss: 0.809 Epoch 0 Batch 600/1077 - Train Accuracy: 0.573, Validation Accuracy: 0.579, Loss: 0.702 Epoch 0 Batch 601/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.590, Loss: 0.732 Epoch 0 Batch 602/1077 - Train Accuracy: 0.559, Validation Accuracy: 0.592, Loss: 0.753 Epoch 0 Batch 603/1077 - Train Accuracy: 0.575, Validation Accuracy: 0.586, Loss: 0.749 Epoch 0 Batch 604/1077 - Train Accuracy: 0.520, Validation Accuracy: 0.578, Loss: 0.785 Epoch 0 Batch 605/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.577, Loss: 0.790 Epoch 0 Batch 606/1077 - Train Accuracy: 0.601, Validation Accuracy: 0.578, Loss: 0.697 Epoch 0 Batch 607/1077 - Train Accuracy: 0.643, Validation Accuracy: 0.588, Loss: 0.693 Epoch 0 Batch 608/1077 - Train Accuracy: 0.548, Validation Accuracy: 0.564, Loss: 0.787 Epoch 0 Batch 609/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.569, Loss: 0.747 Epoch 0 Batch 610/1077 - Train Accuracy: 0.550, Validation Accuracy: 0.574, Loss: 0.759 Epoch 0 Batch 611/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.571, Loss: 0.754 Epoch 0 Batch 612/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.571, Loss: 0.688 Epoch 0 Batch 613/1077 - Train Accuracy: 0.548, Validation Accuracy: 0.570, Loss: 0.777 Epoch 0 Batch 614/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.576, Loss: 0.696 Epoch 0 Batch 615/1077 - Train Accuracy: 0.553, Validation Accuracy: 0.576, Loss: 0.721 Epoch 0 Batch 616/1077 - Train Accuracy: 0.537, Validation Accuracy: 0.577, Loss: 0.773 Epoch 0 Batch 617/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.569, Loss: 0.726 Epoch 0 Batch 618/1077 - Train Accuracy: 0.559, Validation Accuracy: 0.573, Loss: 0.719 Epoch 0 Batch 619/1077 - Train Accuracy: 0.514, Validation Accuracy: 0.578, Loss: 0.772 Epoch 0 Batch 620/1077 - Train Accuracy: 0.528, Validation Accuracy: 0.582, Loss: 0.716 Epoch 0 Batch 621/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.558, Loss: 0.711 Epoch 0 Batch 622/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.574, Loss: 0.758 Epoch 0 Batch 623/1077 - Train Accuracy: 0.539, Validation Accuracy: 0.586, Loss: 0.744 Epoch 0 Batch 624/1077 - Train Accuracy: 0.586, Validation Accuracy: 0.600, Loss: 0.690 Epoch 0 Batch 625/1077 - Train Accuracy: 0.596, Validation Accuracy: 0.585, Loss: 0.733 Epoch 0 Batch 626/1077 - Train Accuracy: 0.615, Validation Accuracy: 0.597, Loss: 0.663 Epoch 0 Batch 627/1077 - Train Accuracy: 0.571, Validation Accuracy: 0.600, Loss: 0.731 Epoch 0 Batch 628/1077 - Train Accuracy: 0.554, Validation Accuracy: 0.591, Loss: 0.782 Epoch 0 Batch 629/1077 - Train Accuracy: 0.551, Validation Accuracy: 0.585, Loss: 0.747 Epoch 0 Batch 630/1077 - Train Accuracy: 0.559, Validation Accuracy: 0.575, Loss: 0.792 Epoch 0 Batch 631/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.565, Loss: 0.760 Epoch 0 Batch 632/1077 - Train Accuracy: 0.535, Validation Accuracy: 0.543, Loss: 0.747 Epoch 0 Batch 633/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.576, Loss: 0.751 Epoch 0 Batch 634/1077 - Train Accuracy: 0.542, Validation Accuracy: 0.556, Loss: 0.747 Epoch 0 Batch 635/1077 - Train Accuracy: 0.505, Validation Accuracy: 0.544, Loss: 0.794 Epoch 0 Batch 636/1077 - Train Accuracy: 0.515, Validation Accuracy: 0.549, Loss: 0.722 Epoch 0 Batch 637/1077 - Train Accuracy: 0.553, Validation Accuracy: 0.571, Loss: 0.760 Epoch 0 Batch 638/1077 - Train Accuracy: 0.508, Validation Accuracy: 0.583, Loss: 0.721 Epoch 0 Batch 639/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.595, Loss: 0.735 Epoch 0 Batch 640/1077 - Train Accuracy: 0.525, Validation Accuracy: 0.580, Loss: 0.714 Epoch 0 Batch 641/1077 - Train Accuracy: 0.551, Validation Accuracy: 0.580, Loss: 0.732 Epoch 0 Batch 642/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.596, Loss: 0.726 Epoch 0 Batch 643/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.594, Loss: 0.695 Epoch 0 Batch 644/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.603, Loss: 0.712 Epoch 0 Batch 645/1077 - Train Accuracy: 0.584, Validation Accuracy: 0.606, Loss: 0.690 Epoch 0 Batch 646/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.609, Loss: 0.710 Epoch 0 Batch 647/1077 - Train Accuracy: 0.572, Validation Accuracy: 0.594, Loss: 0.726 Epoch 0 Batch 648/1077 - Train Accuracy: 0.586, Validation Accuracy: 0.586, Loss: 0.693 Epoch 0 Batch 649/1077 - Train Accuracy: 0.501, Validation Accuracy: 0.560, Loss: 0.746 Epoch 0 Batch 650/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.564, Loss: 0.736 Epoch 0 Batch 651/1077 - Train Accuracy: 0.540, Validation Accuracy: 0.570, Loss: 0.707 Epoch 0 Batch 652/1077 - Train Accuracy: 0.535, Validation Accuracy: 0.577, Loss: 0.757 Epoch 0 Batch 653/1077 - Train Accuracy: 0.579, Validation Accuracy: 0.579, Loss: 0.728 Epoch 0 Batch 654/1077 - Train Accuracy: 0.549, Validation Accuracy: 0.578, Loss: 0.705 Epoch 0 Batch 655/1077 - Train Accuracy: 0.566, Validation Accuracy: 0.583, Loss: 0.723 Epoch 0 Batch 656/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.582, Loss: 0.738 Epoch 0 Batch 657/1077 - Train Accuracy: 0.550, Validation Accuracy: 0.586, Loss: 0.741 Epoch 0 Batch 658/1077 - Train Accuracy: 0.573, Validation Accuracy: 0.567, Loss: 0.689 Epoch 0 Batch 659/1077 - Train Accuracy: 0.601, Validation Accuracy: 0.551, Loss: 0.678 Epoch 0 Batch 660/1077 - Train Accuracy: 0.551, Validation Accuracy: 0.546, Loss: 0.712 Epoch 0 Batch 661/1077 - Train Accuracy: 0.567, Validation Accuracy: 0.564, Loss: 0.663 Epoch 0 Batch 662/1077 - Train Accuracy: 0.576, Validation Accuracy: 0.577, Loss: 0.680 Epoch 0 Batch 663/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.568, Loss: 0.679 Epoch 0 Batch 664/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.574, Loss: 0.693 Epoch 0 Batch 665/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.570, Loss: 0.705 Epoch 0 Batch 666/1077 - Train Accuracy: 0.513, Validation Accuracy: 0.574, Loss: 0.747 Epoch 0 Batch 667/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.580, Loss: 0.740 Epoch 0 Batch 668/1077 - Train Accuracy: 0.543, Validation Accuracy: 0.577, Loss: 0.672 Epoch 0 Batch 669/1077 - Train Accuracy: 0.549, Validation Accuracy: 0.585, Loss: 0.696 Epoch 0 Batch 670/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.608, Loss: 0.646 Epoch 0 Batch 671/1077 - Train Accuracy: 0.534, Validation Accuracy: 0.603, Loss: 0.747 Epoch 0 Batch 672/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.592, Loss: 0.677 Epoch 0 Batch 673/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.580, Loss: 0.659 Epoch 0 Batch 674/1077 - Train Accuracy: 0.559, Validation Accuracy: 0.582, Loss: 0.706 Epoch 0 Batch 675/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.567, Loss: 0.677 Epoch 0 Batch 676/1077 - Train Accuracy: 0.555, Validation Accuracy: 0.566, Loss: 0.718 Epoch 0 Batch 677/1077 - Train Accuracy: 0.550, Validation Accuracy: 0.564, Loss: 0.733 Epoch 0 Batch 678/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.554, Loss: 0.661 Epoch 0 Batch 679/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.570, Loss: 0.719 Epoch 0 Batch 680/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.572, Loss: 0.681 Epoch 0 Batch 681/1077 - Train Accuracy: 0.528, Validation Accuracy: 0.559, Loss: 0.698 Epoch 0 Batch 682/1077 - Train Accuracy: 0.524, Validation Accuracy: 0.524, Loss: 0.709 Epoch 0 Batch 683/1077 - Train Accuracy: 0.523, Validation Accuracy: 0.543, Loss: 0.690 Epoch 0 Batch 684/1077 - Train Accuracy: 0.553, Validation Accuracy: 0.545, Loss: 0.680 Epoch 0 Batch 685/1077 - Train Accuracy: 0.549, Validation Accuracy: 0.575, Loss: 0.698 Epoch 0 Batch 686/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.573, Loss: 0.658 Epoch 0 Batch 687/1077 - Train Accuracy: 0.577, Validation Accuracy: 0.569, Loss: 0.703 Epoch 0 Batch 688/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.574, Loss: 0.685 Epoch 0 Batch 689/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.571, Loss: 0.682 Epoch 0 Batch 690/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.576, Loss: 0.680 Epoch 0 Batch 691/1077 - Train Accuracy: 0.539, Validation Accuracy: 0.580, Loss: 0.750 Epoch 0 Batch 692/1077 - Train Accuracy: 0.577, Validation Accuracy: 0.586, Loss: 0.665 Epoch 0 Batch 693/1077 - Train Accuracy: 0.484, Validation Accuracy: 0.563, Loss: 0.766 Epoch 0 Batch 694/1077 - Train Accuracy: 0.577, Validation Accuracy: 0.566, Loss: 0.661 Epoch 0 Batch 695/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.575, Loss: 0.657 Epoch 0 Batch 696/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.574, Loss: 0.746 Epoch 0 Batch 697/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.563, Loss: 0.663 Epoch 0 Batch 698/1077 - Train Accuracy: 0.544, Validation Accuracy: 0.551, Loss: 0.665 Epoch 0 Batch 699/1077 - Train Accuracy: 0.511, Validation Accuracy: 0.560, Loss: 0.714 Epoch 0 Batch 700/1077 - Train Accuracy: 0.528, Validation Accuracy: 0.558, Loss: 0.675 Epoch 0 Batch 701/1077 - Train Accuracy: 0.570, Validation Accuracy: 0.576, Loss: 0.698 Epoch 0 Batch 702/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.574, Loss: 0.693 Epoch 0 Batch 703/1077 - Train Accuracy: 0.584, Validation Accuracy: 0.588, Loss: 0.706 Epoch 0 Batch 704/1077 - Train Accuracy: 0.546, Validation Accuracy: 0.584, Loss: 0.711 Epoch 0 Batch 705/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.562, Loss: 0.745 Epoch 0 Batch 706/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.564, Loss: 0.674 Epoch 0 Batch 707/1077 - Train Accuracy: 0.547, Validation Accuracy: 0.564, Loss: 0.685 Epoch 0 Batch 708/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.557, Loss: 0.687 Epoch 0 Batch 709/1077 - Train Accuracy: 0.568, Validation Accuracy: 0.574, Loss: 0.718 Epoch 0 Batch 710/1077 - Train Accuracy: 0.535, Validation Accuracy: 0.575, Loss: 0.686 Epoch 0 Batch 711/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.566, Loss: 0.701 Epoch 0 Batch 712/1077 - Train Accuracy: 0.596, Validation Accuracy: 0.588, Loss: 0.675 Epoch 0 Batch 713/1077 - Train Accuracy: 0.592, Validation Accuracy: 0.593, Loss: 0.622 Epoch 0 Batch 714/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.572, Loss: 0.673 Epoch 0 Batch 715/1077 - Train Accuracy: 0.563, Validation Accuracy: 0.569, Loss: 0.682 Epoch 0 Batch 716/1077 - Train Accuracy: 0.569, Validation Accuracy: 0.557, Loss: 0.639 Epoch 0 Batch 717/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.565, Loss: 0.698 Epoch 0 Batch 718/1077 - Train Accuracy: 0.556, Validation Accuracy: 0.575, Loss: 0.702 Epoch 0 Batch 719/1077 - Train Accuracy: 0.568, Validation Accuracy: 0.568, Loss: 0.660 Epoch 0 Batch 720/1077 - Train Accuracy: 0.579, Validation Accuracy: 0.591, Loss: 0.725 Epoch 0 Batch 721/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.601, Loss: 0.676 Epoch 0 Batch 722/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.613, Loss: 0.668 Epoch 0 Batch 723/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.607, Loss: 0.655 Epoch 0 Batch 724/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.610, Loss: 0.688 Epoch 0 Batch 725/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.590, Loss: 0.656 Epoch 0 Batch 726/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.575, Loss: 0.651 Epoch 0 Batch 727/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.582, Loss: 0.622 Epoch 0 Batch 728/1077 - Train Accuracy: 0.551, Validation Accuracy: 0.589, Loss: 0.647 Epoch 0 Batch 729/1077 - Train Accuracy: 0.539, Validation Accuracy: 0.579, Loss: 0.692 Epoch 0 Batch 730/1077 - Train Accuracy: 0.537, Validation Accuracy: 0.546, Loss: 0.669 Epoch 0 Batch 731/1077 - Train Accuracy: 0.548, Validation Accuracy: 0.521, Loss: 0.658 Epoch 0 Batch 732/1077 - Train Accuracy: 0.566, Validation Accuracy: 0.552, Loss: 0.700 Epoch 0 Batch 733/1077 - Train Accuracy: 0.570, Validation Accuracy: 0.569, Loss: 0.664 Epoch 0 Batch 734/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.574, Loss: 0.711 Epoch 0 Batch 735/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.580, Loss: 0.656 Epoch 0 Batch 736/1077 - Train Accuracy: 0.590, Validation Accuracy: 0.577, Loss: 0.666 Epoch 0 Batch 737/1077 - Train Accuracy: 0.586, Validation Accuracy: 0.592, Loss: 0.694 Epoch 0 Batch 738/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.594, Loss: 0.589 Epoch 0 Batch 739/1077 - Train Accuracy: 0.588, Validation Accuracy: 0.597, Loss: 0.640 Epoch 0 Batch 740/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.595, Loss: 0.646 Epoch 0 Batch 741/1077 - Train Accuracy: 0.586, Validation Accuracy: 0.588, Loss: 0.662 Epoch 0 Batch 742/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.580, Loss: 0.666 Epoch 0 Batch 743/1077 - Train Accuracy: 0.569, Validation Accuracy: 0.571, Loss: 0.672 Epoch 0 Batch 744/1077 - Train Accuracy: 0.551, Validation Accuracy: 0.562, Loss: 0.624 Epoch 0 Batch 745/1077 - Train Accuracy: 0.601, Validation Accuracy: 0.558, Loss: 0.652 Epoch 0 Batch 746/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.585, Loss: 0.655 Epoch 0 Batch 747/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.608, Loss: 0.619 Epoch 0 Batch 748/1077 - Train Accuracy: 0.591, Validation Accuracy: 0.605, Loss: 0.650 Epoch 0 Batch 749/1077 - Train Accuracy: 0.543, Validation Accuracy: 0.602, Loss: 0.679 Epoch 0 Batch 750/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.599, Loss: 0.649 Epoch 0 Batch 751/1077 - Train Accuracy: 0.579, Validation Accuracy: 0.603, Loss: 0.652 Epoch 0 Batch 752/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.594, Loss: 0.604 Epoch 0 Batch 753/1077 - Train Accuracy: 0.558, Validation Accuracy: 0.584, Loss: 0.642 Epoch 0 Batch 754/1077 - Train Accuracy: 0.568, Validation Accuracy: 0.581, Loss: 0.653 Epoch 0 Batch 755/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.597, Loss: 0.665 Epoch 0 Batch 756/1077 - Train Accuracy: 0.598, Validation Accuracy: 0.595, Loss: 0.625 Epoch 0 Batch 757/1077 - Train Accuracy: 0.558, Validation Accuracy: 0.607, Loss: 0.672 Epoch 0 Batch 758/1077 - Train Accuracy: 0.586, Validation Accuracy: 0.581, Loss: 0.631 Epoch 0 Batch 759/1077 - Train Accuracy: 0.605, Validation Accuracy: 0.575, Loss: 0.604 Epoch 0 Batch 760/1077 - Train Accuracy: 0.586, Validation Accuracy: 0.578, Loss: 0.654 Epoch 0 Batch 761/1077 - Train Accuracy: 0.513, Validation Accuracy: 0.564, Loss: 0.678 Epoch 0 Batch 762/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.581, Loss: 0.632 Epoch 0 Batch 763/1077 - Train Accuracy: 0.566, Validation Accuracy: 0.585, Loss: 0.625 Epoch 0 Batch 764/1077 - Train Accuracy: 0.570, Validation Accuracy: 0.586, Loss: 0.656 Epoch 0 Batch 765/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.591, Loss: 0.619 Epoch 0 Batch 766/1077 - Train Accuracy: 0.573, Validation Accuracy: 0.596, Loss: 0.669 Epoch 0 Batch 767/1077 - Train Accuracy: 0.591, Validation Accuracy: 0.598, Loss: 0.658 Epoch 0 Batch 768/1077 - Train Accuracy: 0.571, Validation Accuracy: 0.596, Loss: 0.658 Epoch 0 Batch 769/1077 - Train Accuracy: 0.596, Validation Accuracy: 0.591, Loss: 0.652 Epoch 0 Batch 770/1077 - Train Accuracy: 0.609, Validation Accuracy: 0.587, Loss: 0.616 Epoch 0 Batch 771/1077 - Train Accuracy: 0.609, Validation Accuracy: 0.577, Loss: 0.649 Epoch 0 Batch 772/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.572, Loss: 0.627 Epoch 0 Batch 773/1077 - Train Accuracy: 0.545, Validation Accuracy: 0.556, Loss: 0.629 Epoch 0 Batch 774/1077 - Train Accuracy: 0.530, Validation Accuracy: 0.561, Loss: 0.664 Epoch 0 Batch 775/1077 - Train Accuracy: 0.575, Validation Accuracy: 0.562, Loss: 0.631 Epoch 0 Batch 776/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.569, Loss: 0.644 Epoch 0 Batch 777/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.569, Loss: 0.648 Epoch 0 Batch 778/1077 - Train Accuracy: 0.552, Validation Accuracy: 0.573, Loss: 0.633 Epoch 0 Batch 779/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.587, Loss: 0.642 Epoch 0 Batch 780/1077 - Train Accuracy: 0.561, Validation Accuracy: 0.581, Loss: 0.669 Epoch 0 Batch 781/1077 - Train Accuracy: 0.628, Validation Accuracy: 0.589, Loss: 0.600 Epoch 0 Batch 782/1077 - Train Accuracy: 0.596, Validation Accuracy: 0.589, Loss: 0.631 Epoch 0 Batch 783/1077 - Train Accuracy: 0.588, Validation Accuracy: 0.594, Loss: 0.639 Epoch 0 Batch 784/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.591, Loss: 0.640 Epoch 0 Batch 785/1077 - Train Accuracy: 0.600, Validation Accuracy: 0.583, Loss: 0.607 Epoch 0 Batch 786/1077 - Train Accuracy: 0.529, Validation Accuracy: 0.587, Loss: 0.662 Epoch 0 Batch 787/1077 - Train Accuracy: 0.593, Validation Accuracy: 0.576, Loss: 0.592 Epoch 0 Batch 788/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.584, Loss: 0.643 Epoch 0 Batch 789/1077 - Train Accuracy: 0.552, Validation Accuracy: 0.584, Loss: 0.669 Epoch 0 Batch 790/1077 - Train Accuracy: 0.502, Validation Accuracy: 0.592, Loss: 0.680 Epoch 0 Batch 791/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.574, Loss: 0.655 Epoch 0 Batch 792/1077 - Train Accuracy: 0.541, Validation Accuracy: 0.530, Loss: 0.654 Epoch 0 Batch 793/1077 - Train Accuracy: 0.617, Validation Accuracy: 0.578, Loss: 0.629 Epoch 0 Batch 794/1077 - Train Accuracy: 0.559, Validation Accuracy: 0.599, Loss: 0.638 Epoch 0 Batch 795/1077 - Train Accuracy: 0.564, Validation Accuracy: 0.604, Loss: 0.660 Epoch 0 Batch 796/1077 - Train Accuracy: 0.572, Validation Accuracy: 0.593, Loss: 0.651 Epoch 0 Batch 797/1077 - Train Accuracy: 0.591, Validation Accuracy: 0.594, Loss: 0.634 Epoch 0 Batch 798/1077 - Train Accuracy: 0.571, Validation Accuracy: 0.596, Loss: 0.653 Epoch 0 Batch 799/1077 - Train Accuracy: 0.566, Validation Accuracy: 0.592, Loss: 0.681 Epoch 0 Batch 800/1077 - Train Accuracy: 0.536, Validation Accuracy: 0.595, Loss: 0.641 Epoch 0 Batch 801/1077 - Train Accuracy: 0.578, Validation Accuracy: 0.604, Loss: 0.642 Epoch 0 Batch 802/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.610, Loss: 0.612 Epoch 0 Batch 803/1077 - Train Accuracy: 0.579, Validation Accuracy: 0.596, Loss: 0.637 Epoch 0 Batch 804/1077 - Train Accuracy: 0.592, Validation Accuracy: 0.606, Loss: 0.643 Epoch 0 Batch 805/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.611, Loss: 0.633 Epoch 0 Batch 806/1077 - Train Accuracy: 0.583, Validation Accuracy: 0.603, Loss: 0.628 Epoch 0 Batch 807/1077 - Train Accuracy: 0.532, Validation Accuracy: 0.589, Loss: 0.626 Epoch 0 Batch 808/1077 - Train Accuracy: 0.567, Validation Accuracy: 0.590, Loss: 0.649 Epoch 0 Batch 809/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.592, Loss: 0.672 Epoch 0 Batch 810/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.608, Loss: 0.596 Epoch 0 Batch 811/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.602, Loss: 0.577 Epoch 0 Batch 812/1077 - Train Accuracy: 0.524, Validation Accuracy: 0.583, Loss: 0.655 Epoch 0 Batch 813/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.614, Loss: 0.605 Epoch 0 Batch 814/1077 - Train Accuracy: 0.591, Validation Accuracy: 0.614, Loss: 0.622 Epoch 0 Batch 815/1077 - Train Accuracy: 0.591, Validation Accuracy: 0.607, Loss: 0.625 Epoch 0 Batch 816/1077 - Train Accuracy: 0.631, Validation Accuracy: 0.618, Loss: 0.647 Epoch 0 Batch 817/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.616, Loss: 0.671 Epoch 0 Batch 818/1077 - Train Accuracy: 0.579, Validation Accuracy: 0.616, Loss: 0.634 Epoch 0 Batch 819/1077 - Train Accuracy: 0.599, Validation Accuracy: 0.613, Loss: 0.614 Epoch 0 Batch 820/1077 - Train Accuracy: 0.556, Validation Accuracy: 0.620, Loss: 0.670 Epoch 0 Batch 821/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.619, Loss: 0.616 Epoch 0 Batch 822/1077 - Train Accuracy: 0.620, Validation Accuracy: 0.616, Loss: 0.622 Epoch 0 Batch 823/1077 - Train Accuracy: 0.598, Validation Accuracy: 0.613, Loss: 0.625 Epoch 0 Batch 824/1077 - Train Accuracy: 0.619, Validation Accuracy: 0.616, Loss: 0.590 Epoch 0 Batch 825/1077 - Train Accuracy: 0.631, Validation Accuracy: 0.604, Loss: 0.608 Epoch 0 Batch 826/1077 - Train Accuracy: 0.612, Validation Accuracy: 0.609, Loss: 0.598 Epoch 0 Batch 827/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.605, Loss: 0.644 Epoch 0 Batch 828/1077 - Train Accuracy: 0.623, Validation Accuracy: 0.614, Loss: 0.624 Epoch 0 Batch 829/1077 - Train Accuracy: 0.605, Validation Accuracy: 0.616, Loss: 0.650 Epoch 0 Batch 830/1077 - Train Accuracy: 0.598, Validation Accuracy: 0.617, Loss: 0.625 Epoch 0 Batch 831/1077 - Train Accuracy: 0.576, Validation Accuracy: 0.625, Loss: 0.653 Epoch 0 Batch 832/1077 - Train Accuracy: 0.572, Validation Accuracy: 0.601, Loss: 0.625 Epoch 0 Batch 833/1077 - Train Accuracy: 0.599, Validation Accuracy: 0.606, Loss: 0.642 Epoch 0 Batch 834/1077 - Train Accuracy: 0.632, Validation Accuracy: 0.602, Loss: 0.593 Epoch 0 Batch 835/1077 - Train Accuracy: 0.598, Validation Accuracy: 0.600, Loss: 0.624 Epoch 0 Batch 836/1077 - Train Accuracy: 0.553, Validation Accuracy: 0.590, Loss: 0.647 Epoch 0 Batch 837/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.602, Loss: 0.655 Epoch 0 Batch 838/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.619, Loss: 0.596 Epoch 0 Batch 839/1077 - Train Accuracy: 0.612, Validation Accuracy: 0.610, Loss: 0.602 Epoch 0 Batch 840/1077 - Train Accuracy: 0.589, Validation Accuracy: 0.592, Loss: 0.603 Epoch 0 Batch 841/1077 - Train Accuracy: 0.620, Validation Accuracy: 0.604, Loss: 0.621 Epoch 0 Batch 842/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.632, Loss: 0.605 Epoch 0 Batch 843/1077 - Train Accuracy: 0.638, Validation Accuracy: 0.605, Loss: 0.576 Epoch 0 Batch 844/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.610, Loss: 0.594 Epoch 0 Batch 845/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.621, Loss: 0.615 Epoch 0 Batch 846/1077 - Train Accuracy: 0.628, Validation Accuracy: 0.631, Loss: 0.616 Epoch 0 Batch 847/1077 - Train Accuracy: 0.627, Validation Accuracy: 0.630, Loss: 0.627 Epoch 0 Batch 848/1077 - Train Accuracy: 0.582, Validation Accuracy: 0.620, Loss: 0.630 Epoch 0 Batch 849/1077 - Train Accuracy: 0.601, Validation Accuracy: 0.614, Loss: 0.600 Epoch 0 Batch 850/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.624, Loss: 0.651 Epoch 0 Batch 851/1077 - Train Accuracy: 0.626, Validation Accuracy: 0.628, Loss: 0.606 Epoch 0 Batch 852/1077 - Train Accuracy: 0.612, Validation Accuracy: 0.606, Loss: 0.623 Epoch 0 Batch 853/1077 - Train Accuracy: 0.632, Validation Accuracy: 0.612, Loss: 0.577 Epoch 0 Batch 854/1077 - Train Accuracy: 0.610, Validation Accuracy: 0.615, Loss: 0.611 Epoch 0 Batch 855/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.573, Loss: 0.615 Epoch 0 Batch 856/1077 - Train Accuracy: 0.597, Validation Accuracy: 0.603, Loss: 0.630 Epoch 0 Batch 857/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.625, Loss: 0.598 Epoch 0 Batch 858/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.610, Loss: 0.591 Epoch 0 Batch 859/1077 - Train Accuracy: 0.647, Validation Accuracy: 0.584, Loss: 0.606 Epoch 0 Batch 860/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.613, Loss: 0.603 Epoch 0 Batch 861/1077 - Train Accuracy: 0.584, Validation Accuracy: 0.612, Loss: 0.610 Epoch 0 Batch 862/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.622, Loss: 0.609 Epoch 0 Batch 863/1077 - Train Accuracy: 0.636, Validation Accuracy: 0.610, Loss: 0.592 Epoch 0 Batch 864/1077 - Train Accuracy: 0.618, Validation Accuracy: 0.615, Loss: 0.601 Epoch 0 Batch 865/1077 - Train Accuracy: 0.670, Validation Accuracy: 0.622, Loss: 0.535 Epoch 0 Batch 866/1077 - Train Accuracy: 0.626, Validation Accuracy: 0.622, Loss: 0.595 Epoch 0 Batch 867/1077 - Train Accuracy: 0.562, Validation Accuracy: 0.621, Loss: 0.657 Epoch 0 Batch 868/1077 - Train Accuracy: 0.626, Validation Accuracy: 0.612, Loss: 0.605 Epoch 0 Batch 869/1077 - Train Accuracy: 0.604, Validation Accuracy: 0.621, Loss: 0.609 Epoch 0 Batch 870/1077 - Train Accuracy: 0.565, Validation Accuracy: 0.624, Loss: 0.637 Epoch 0 Batch 871/1077 - Train Accuracy: 0.597, Validation Accuracy: 0.597, Loss: 0.608 Epoch 0 Batch 872/1077 - Train Accuracy: 0.646, Validation Accuracy: 0.619, Loss: 0.596 Epoch 0 Batch 873/1077 - Train Accuracy: 0.602, Validation Accuracy: 0.614, Loss: 0.607 Epoch 0 Batch 874/1077 - Train Accuracy: 0.579, Validation Accuracy: 0.613, Loss: 0.617 Epoch 0 Batch 875/1077 - Train Accuracy: 0.614, Validation Accuracy: 0.588, Loss: 0.596 Epoch 0 Batch 876/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.607, Loss: 0.616 Epoch 0 Batch 877/1077 - Train Accuracy: 0.603, Validation Accuracy: 0.611, Loss: 0.583 Epoch 0 Batch 878/1077 - Train Accuracy: 0.632, Validation Accuracy: 0.604, Loss: 0.597 Epoch 0 Batch 879/1077 - Train Accuracy: 0.635, Validation Accuracy: 0.594, Loss: 0.571 Epoch 0 Batch 880/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.612, Loss: 0.604 Epoch 0 Batch 881/1077 - Train Accuracy: 0.612, Validation Accuracy: 0.621, Loss: 0.633 Epoch 0 Batch 882/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.629, Loss: 0.608 Epoch 0 Batch 883/1077 - Train Accuracy: 0.547, Validation Accuracy: 0.630, Loss: 0.658 Epoch 0 Batch 884/1077 - Train Accuracy: 0.607, Validation Accuracy: 0.604, Loss: 0.599 Epoch 0 Batch 885/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.598, Loss: 0.524 Epoch 0 Batch 886/1077 - Train Accuracy: 0.567, Validation Accuracy: 0.572, Loss: 0.613 Epoch 0 Batch 887/1077 - Train Accuracy: 0.580, Validation Accuracy: 0.583, Loss: 0.622 Epoch 0 Batch 888/1077 - Train Accuracy: 0.599, Validation Accuracy: 0.596, Loss: 0.605 Epoch 0 Batch 889/1077 - Train Accuracy: 0.598, Validation Accuracy: 0.566, Loss: 0.612 Epoch 0 Batch 890/1077 - Train Accuracy: 0.613, Validation Accuracy: 0.572, Loss: 0.577 Epoch 0 Batch 891/1077 - Train Accuracy: 0.537, Validation Accuracy: 0.558, Loss: 0.613 Epoch 0 Batch 892/1077 - Train Accuracy: 0.604, Validation Accuracy: 0.598, Loss: 0.610 Epoch 0 Batch 893/1077 - Train Accuracy: 0.609, Validation Accuracy: 0.607, Loss: 0.601 Epoch 0 Batch 894/1077 - Train Accuracy: 0.630, Validation Accuracy: 0.614, Loss: 0.585 Epoch 0 Batch 895/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.621, Loss: 0.622 Epoch 0 Batch 896/1077 - Train Accuracy: 0.556, Validation Accuracy: 0.614, Loss: 0.634 Epoch 0 Batch 897/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.625, Loss: 0.594 Epoch 0 Batch 898/1077 - Train Accuracy: 0.650, Validation Accuracy: 0.639, Loss: 0.584 Epoch 0 Batch 899/1077 - Train Accuracy: 0.614, Validation Accuracy: 0.598, Loss: 0.636 Epoch 0 Batch 900/1077 - Train Accuracy: 0.632, Validation Accuracy: 0.597, Loss: 0.632 Epoch 0 Batch 901/1077 - Train Accuracy: 0.583, Validation Accuracy: 0.596, Loss: 0.610 Epoch 0 Batch 902/1077 - Train Accuracy: 0.607, Validation Accuracy: 0.574, Loss: 0.605 Epoch 0 Batch 903/1077 - Train Accuracy: 0.582, Validation Accuracy: 0.582, Loss: 0.608 Epoch 0 Batch 904/1077 - Train Accuracy: 0.560, Validation Accuracy: 0.586, Loss: 0.617 Epoch 0 Batch 905/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.591, Loss: 0.587 Epoch 0 Batch 906/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.608, Loss: 0.592 Epoch 0 Batch 907/1077 - Train Accuracy: 0.581, Validation Accuracy: 0.602, Loss: 0.597 Epoch 0 Batch 908/1077 - Train Accuracy: 0.606, Validation Accuracy: 0.614, Loss: 0.607 Epoch 0 Batch 909/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.625, Loss: 0.595 Epoch 0 Batch 910/1077 - Train Accuracy: 0.636, Validation Accuracy: 0.618, Loss: 0.577 Epoch 0 Batch 911/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.621, Loss: 0.546 Epoch 0 Batch 912/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.616, Loss: 0.602 Epoch 0 Batch 913/1077 - Train Accuracy: 0.614, Validation Accuracy: 0.617, Loss: 0.607 Epoch 0 Batch 914/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.615, Loss: 0.536 Epoch 0 Batch 915/1077 - Train Accuracy: 0.573, Validation Accuracy: 0.627, Loss: 0.627 Epoch 0 Batch 916/1077 - Train Accuracy: 0.635, Validation Accuracy: 0.614, Loss: 0.598 Epoch 0 Batch 917/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.620, Loss: 0.603 Epoch 0 Batch 918/1077 - Train Accuracy: 0.652, Validation Accuracy: 0.614, Loss: 0.550 Epoch 0 Batch 919/1077 - Train Accuracy: 0.601, Validation Accuracy: 0.610, Loss: 0.600 Epoch 0 Batch 920/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.617, Loss: 0.598 Epoch 0 Batch 921/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.629, Loss: 0.585 Epoch 0 Batch 922/1077 - Train Accuracy: 0.631, Validation Accuracy: 0.643, Loss: 0.565 Epoch 0 Batch 923/1077 - Train Accuracy: 0.577, Validation Accuracy: 0.641, Loss: 0.622 Epoch 0 Batch 924/1077 - Train Accuracy: 0.605, Validation Accuracy: 0.629, Loss: 0.621 Epoch 0 Batch 925/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.616, Loss: 0.565 Epoch 0 Batch 926/1077 - Train Accuracy: 0.609, Validation Accuracy: 0.625, Loss: 0.597 Epoch 0 Batch 927/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.626, Loss: 0.608 Epoch 0 Batch 928/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.605, Loss: 0.577 Epoch 0 Batch 929/1077 - Train Accuracy: 0.618, Validation Accuracy: 0.589, Loss: 0.609 Epoch 0 Batch 930/1077 - Train Accuracy: 0.605, Validation Accuracy: 0.607, Loss: 0.576 Epoch 0 Batch 931/1077 - Train Accuracy: 0.630, Validation Accuracy: 0.638, Loss: 0.590 Epoch 0 Batch 932/1077 - Train Accuracy: 0.582, Validation Accuracy: 0.635, Loss: 0.621 Epoch 0 Batch 933/1077 - Train Accuracy: 0.642, Validation Accuracy: 0.629, Loss: 0.601 Epoch 0 Batch 934/1077 - Train Accuracy: 0.612, Validation Accuracy: 0.625, Loss: 0.603 Epoch 0 Batch 935/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.613, Loss: 0.605 Epoch 0 Batch 936/1077 - Train Accuracy: 0.635, Validation Accuracy: 0.606, Loss: 0.581 Epoch 0 Batch 937/1077 - Train Accuracy: 0.609, Validation Accuracy: 0.609, Loss: 0.610 Epoch 0 Batch 938/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.613, Loss: 0.597 Epoch 0 Batch 939/1077 - Train Accuracy: 0.649, Validation Accuracy: 0.619, Loss: 0.576 Epoch 0 Batch 940/1077 - Train Accuracy: 0.610, Validation Accuracy: 0.624, Loss: 0.583 Epoch 0 Batch 941/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.621, Loss: 0.544 Epoch 0 Batch 942/1077 - Train Accuracy: 0.570, Validation Accuracy: 0.586, Loss: 0.601 Epoch 0 Batch 943/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.610, Loss: 0.594 Epoch 0 Batch 944/1077 - Train Accuracy: 0.604, Validation Accuracy: 0.633, Loss: 0.578 Epoch 0 Batch 945/1077 - Train Accuracy: 0.643, Validation Accuracy: 0.619, Loss: 0.561 Epoch 0 Batch 946/1077 - Train Accuracy: 0.628, Validation Accuracy: 0.619, Loss: 0.574 Epoch 0 Batch 947/1077 - Train Accuracy: 0.577, Validation Accuracy: 0.610, Loss: 0.637 Epoch 0 Batch 948/1077 - Train Accuracy: 0.557, Validation Accuracy: 0.608, Loss: 0.576 Epoch 0 Batch 949/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.610, Loss: 0.526 Epoch 0 Batch 950/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.612, Loss: 0.553 Epoch 0 Batch 951/1077 - Train Accuracy: 0.636, Validation Accuracy: 0.615, Loss: 0.569 Epoch 0 Batch 952/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.608, Loss: 0.572 Epoch 0 Batch 953/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.605, Loss: 0.567 Epoch 0 Batch 954/1077 - Train Accuracy: 0.585, Validation Accuracy: 0.591, Loss: 0.598 Epoch 0 Batch 955/1077 - Train Accuracy: 0.632, Validation Accuracy: 0.597, Loss: 0.580 Epoch 0 Batch 956/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.613, Loss: 0.551 Epoch 0 Batch 957/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.625, Loss: 0.542 Epoch 0 Batch 958/1077 - Train Accuracy: 0.618, Validation Accuracy: 0.606, Loss: 0.574 Epoch 0 Batch 959/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.616, Loss: 0.551 Epoch 0 Batch 960/1077 - Train Accuracy: 0.610, Validation Accuracy: 0.614, Loss: 0.560 Epoch 0 Batch 961/1077 - Train Accuracy: 0.619, Validation Accuracy: 0.626, Loss: 0.584 Epoch 0 Batch 962/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.623, Loss: 0.551 Epoch 0 Batch 963/1077 - Train Accuracy: 0.624, Validation Accuracy: 0.627, Loss: 0.626 Epoch 0 Batch 964/1077 - Train Accuracy: 0.653, Validation Accuracy: 0.629, Loss: 0.537 Epoch 0 Batch 965/1077 - Train Accuracy: 0.608, Validation Accuracy: 0.634, Loss: 0.614 Epoch 0 Batch 966/1077 - Train Accuracy: 0.678, Validation Accuracy: 0.634, Loss: 0.512 Epoch 0 Batch 967/1077 - Train Accuracy: 0.642, Validation Accuracy: 0.634, Loss: 0.564 Epoch 0 Batch 968/1077 - Train Accuracy: 0.619, Validation Accuracy: 0.631, Loss: 0.588 Epoch 0 Batch 969/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.638, Loss: 0.573 Epoch 0 Batch 970/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.637, Loss: 0.577 Epoch 0 Batch 971/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.637, Loss: 0.545 Epoch 0 Batch 972/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.623, Loss: 0.569 Epoch 0 Batch 973/1077 - Train Accuracy: 0.647, Validation Accuracy: 0.610, Loss: 0.542 Epoch 0 Batch 974/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.625, Loss: 0.586 Epoch 0 Batch 975/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.630, Loss: 0.544 Epoch 0 Batch 976/1077 - Train Accuracy: 0.617, Validation Accuracy: 0.638, Loss: 0.547 Epoch 0 Batch 977/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.651, Loss: 0.553 Epoch 0 Batch 978/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.658, Loss: 0.565 Epoch 0 Batch 979/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.666, Loss: 0.617 Epoch 0 Batch 980/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.661, Loss: 0.571 Epoch 0 Batch 981/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.650, Loss: 0.583 Epoch 0 Batch 982/1077 - Train Accuracy: 0.652, Validation Accuracy: 0.654, Loss: 0.559 Epoch 0 Batch 983/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.656, Loss: 0.582 Epoch 0 Batch 984/1077 - Train Accuracy: 0.594, Validation Accuracy: 0.635, Loss: 0.619 Epoch 0 Batch 985/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.624, Loss: 0.560 Epoch 0 Batch 986/1077 - Train Accuracy: 0.600, Validation Accuracy: 0.602, Loss: 0.574 Epoch 0 Batch 987/1077 - Train Accuracy: 0.626, Validation Accuracy: 0.620, Loss: 0.535 Epoch 0 Batch 988/1077 - Train Accuracy: 0.610, Validation Accuracy: 0.635, Loss: 0.576 Epoch 0 Batch 989/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.636, Loss: 0.560 Epoch 0 Batch 990/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.645, Loss: 0.589 Epoch 0 Batch 991/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.641, Loss: 0.563 Epoch 0 Batch 992/1077 - Train Accuracy: 0.628, Validation Accuracy: 0.655, Loss: 0.559 Epoch 0 Batch 993/1077 - Train Accuracy: 0.630, Validation Accuracy: 0.664, Loss: 0.547 Epoch 0 Batch 994/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.654, Loss: 0.558 Epoch 0 Batch 995/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.668, Loss: 0.540 Epoch 0 Batch 996/1077 - Train Accuracy: 0.649, Validation Accuracy: 0.653, Loss: 0.558 Epoch 0 Batch 997/1077 - Train Accuracy: 0.620, Validation Accuracy: 0.638, Loss: 0.598 Epoch 0 Batch 998/1077 - Train Accuracy: 0.606, Validation Accuracy: 0.600, Loss: 0.542 Epoch 0 Batch 999/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.613, Loss: 0.576 Epoch 0 Batch 1000/1077 - Train Accuracy: 0.672, Validation Accuracy: 0.631, Loss: 0.515 Epoch 0 Batch 1001/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.641, Loss: 0.511 Epoch 0 Batch 1002/1077 - Train Accuracy: 0.644, Validation Accuracy: 0.634, Loss: 0.545 Epoch 0 Batch 1003/1077 - Train Accuracy: 0.649, Validation Accuracy: 0.637, Loss: 0.566 Epoch 0 Batch 1004/1077 - Train Accuracy: 0.653, Validation Accuracy: 0.640, Loss: 0.552 Epoch 0 Batch 1005/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.651, Loss: 0.554 Epoch 0 Batch 1006/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.650, Loss: 0.535 Epoch 0 Batch 1007/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.641, Loss: 0.533 Epoch 0 Batch 1008/1077 - Train Accuracy: 0.648, Validation Accuracy: 0.637, Loss: 0.566 Epoch 0 Batch 1009/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.640, Loss: 0.531 Epoch 0 Batch 1010/1077 - Train Accuracy: 0.638, Validation Accuracy: 0.632, Loss: 0.563 Epoch 0 Batch 1011/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.643, Loss: 0.569 Epoch 0 Batch 1012/1077 - Train Accuracy: 0.642, Validation Accuracy: 0.637, Loss: 0.528 Epoch 0 Batch 1013/1077 - Train Accuracy: 0.650, Validation Accuracy: 0.641, Loss: 0.536 Epoch 0 Batch 1014/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.651, Loss: 0.576 Epoch 0 Batch 1015/1077 - Train Accuracy: 0.639, Validation Accuracy: 0.643, Loss: 0.573 Epoch 0 Batch 1016/1077 - Train Accuracy: 0.609, Validation Accuracy: 0.629, Loss: 0.571 Epoch 0 Batch 1017/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.635, Loss: 0.563 Epoch 0 Batch 1018/1077 - Train Accuracy: 0.626, Validation Accuracy: 0.641, Loss: 0.546 Epoch 0 Batch 1019/1077 - Train Accuracy: 0.605, Validation Accuracy: 0.636, Loss: 0.601 Epoch 0 Batch 1020/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.654, Loss: 0.540 Epoch 0 Batch 1021/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.649, Loss: 0.539 Epoch 0 Batch 1022/1077 - Train Accuracy: 0.669, Validation Accuracy: 0.648, Loss: 0.519 Epoch 0 Batch 1023/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.656, Loss: 0.504 Epoch 0 Batch 1024/1077 - Train Accuracy: 0.617, Validation Accuracy: 0.637, Loss: 0.579 Epoch 0 Batch 1025/1077 - Train Accuracy: 0.638, Validation Accuracy: 0.620, Loss: 0.528 Epoch 0 Batch 1026/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.630, Loss: 0.506 Epoch 0 Batch 1027/1077 - Train Accuracy: 0.614, Validation Accuracy: 0.632, Loss: 0.562 Epoch 0 Batch 1028/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.643, Loss: 0.546 Epoch 0 Batch 1029/1077 - Train Accuracy: 0.623, Validation Accuracy: 0.611, Loss: 0.541 Epoch 0 Batch 1030/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.607, Loss: 0.565 Epoch 0 Batch 1031/1077 - Train Accuracy: 0.623, Validation Accuracy: 0.645, Loss: 0.591 Epoch 0 Batch 1032/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.652, Loss: 0.552 Epoch 0 Batch 1033/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.645, Loss: 0.535 Epoch 0 Batch 1034/1077 - Train Accuracy: 0.590, Validation Accuracy: 0.638, Loss: 0.577 Epoch 0 Batch 1035/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.655, Loss: 0.504 Epoch 0 Batch 1036/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.645, Loss: 0.546 Epoch 0 Batch 1037/1077 - Train Accuracy: 0.615, Validation Accuracy: 0.648, Loss: 0.586 Epoch 0 Batch 1038/1077 - Train Accuracy: 0.637, Validation Accuracy: 0.632, Loss: 0.562 Epoch 0 Batch 1039/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.631, Loss: 0.532 Epoch 0 Batch 1040/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.629, Loss: 0.561 Epoch 0 Batch 1041/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.630, Loss: 0.572 Epoch 0 Batch 1042/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.610, Loss: 0.554 Epoch 0 Batch 1043/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.602, Loss: 0.561 Epoch 0 Batch 1044/1077 - Train Accuracy: 0.639, Validation Accuracy: 0.614, Loss: 0.547 Epoch 0 Batch 1045/1077 - Train Accuracy: 0.607, Validation Accuracy: 0.629, Loss: 0.563 Epoch 0 Batch 1046/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.619, Loss: 0.516 Epoch 0 Batch 1047/1077 - Train Accuracy: 0.650, Validation Accuracy: 0.622, Loss: 0.537 Epoch 0 Batch 1048/1077 - Train Accuracy: 0.618, Validation Accuracy: 0.632, Loss: 0.566 Epoch 0 Batch 1049/1077 - Train Accuracy: 0.614, Validation Accuracy: 0.646, Loss: 0.574 Epoch 0 Batch 1050/1077 - Train Accuracy: 0.592, Validation Accuracy: 0.652, Loss: 0.561 Epoch 0 Batch 1051/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.654, Loss: 0.508 Epoch 0 Batch 1052/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.655, Loss: 0.514 Epoch 0 Batch 1053/1077 - Train Accuracy: 0.627, Validation Accuracy: 0.651, Loss: 0.521 Epoch 0 Batch 1054/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.650, Loss: 0.550 Epoch 0 Batch 1055/1077 - Train Accuracy: 0.631, Validation Accuracy: 0.633, Loss: 0.573 Epoch 0 Batch 1056/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.647, Loss: 0.551 Epoch 0 Batch 1057/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.641, Loss: 0.558 Epoch 0 Batch 1058/1077 - Train Accuracy: 0.627, Validation Accuracy: 0.642, Loss: 0.592 Epoch 0 Batch 1059/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.645, Loss: 0.581 Epoch 0 Batch 1060/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.663, Loss: 0.518 Epoch 0 Batch 1061/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.637, Loss: 0.563 Epoch 0 Batch 1062/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.639, Loss: 0.569 Epoch 0 Batch 1063/1077 - Train Accuracy: 0.618, Validation Accuracy: 0.622, Loss: 0.556 Epoch 0 Batch 1064/1077 - Train Accuracy: 0.675, Validation Accuracy: 0.628, Loss: 0.542 Epoch 0 Batch 1065/1077 - Train Accuracy: 0.618, Validation Accuracy: 0.625, Loss: 0.542 Epoch 0 Batch 1066/1077 - Train Accuracy: 0.639, Validation Accuracy: 0.630, Loss: 0.531 Epoch 0 Batch 1067/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.633, Loss: 0.552 Epoch 0 Batch 1068/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.613, Loss: 0.516 Epoch 0 Batch 1069/1077 - Train Accuracy: 0.656, Validation Accuracy: 0.626, Loss: 0.509 Epoch 0 Batch 1070/1077 - Train Accuracy: 0.600, Validation Accuracy: 0.635, Loss: 0.556 Epoch 0 Batch 1071/1077 - Train Accuracy: 0.606, Validation Accuracy: 0.604, Loss: 0.532 Epoch 0 Batch 1072/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.618, Loss: 0.536 Epoch 0 Batch 1073/1077 - Train Accuracy: 0.623, Validation Accuracy: 0.609, Loss: 0.541 Epoch 0 Batch 1074/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.632, Loss: 0.547 Epoch 0 Batch 1075/1077 - Train Accuracy: 0.611, Validation Accuracy: 0.611, Loss: 0.590 Epoch 1 Batch 0/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.613, Loss: 0.500 Epoch 1 Batch 1/1077 - Train Accuracy: 0.625, Validation Accuracy: 0.610, Loss: 0.547 Epoch 1 Batch 2/1077 - Train Accuracy: 0.588, Validation Accuracy: 0.637, Loss: 0.561 Epoch 1 Batch 3/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.645, Loss: 0.533 Epoch 1 Batch 4/1077 - Train Accuracy: 0.635, Validation Accuracy: 0.644, Loss: 0.569 Epoch 1 Batch 5/1077 - Train Accuracy: 0.632, Validation Accuracy: 0.637, Loss: 0.543 Epoch 1 Batch 6/1077 - Train Accuracy: 0.643, Validation Accuracy: 0.616, Loss: 0.541 Epoch 1 Batch 7/1077 - Train Accuracy: 0.622, Validation Accuracy: 0.635, Loss: 0.537 Epoch 1 Batch 8/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.646, Loss: 0.534 Epoch 1 Batch 9/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.623, Loss: 0.537 Epoch 1 Batch 10/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.624, Loss: 0.565 Epoch 1 Batch 11/1077 - Train Accuracy: 0.577, Validation Accuracy: 0.619, Loss: 0.535 Epoch 1 Batch 12/1077 - Train Accuracy: 0.596, Validation Accuracy: 0.625, Loss: 0.555 Epoch 1 Batch 13/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.628, Loss: 0.529 Epoch 1 Batch 14/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.638, Loss: 0.506 Epoch 1 Batch 15/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.629, Loss: 0.524 Epoch 1 Batch 16/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.662, Loss: 0.530 Epoch 1 Batch 17/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.662, Loss: 0.526 Epoch 1 Batch 18/1077 - Train Accuracy: 0.612, Validation Accuracy: 0.635, Loss: 0.546 Epoch 1 Batch 19/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.659, Loss: 0.534 Epoch 1 Batch 20/1077 - Train Accuracy: 0.611, Validation Accuracy: 0.649, Loss: 0.519 Epoch 1 Batch 21/1077 - Train Accuracy: 0.590, Validation Accuracy: 0.642, Loss: 0.567 Epoch 1 Batch 22/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.646, Loss: 0.538 Epoch 1 Batch 23/1077 - Train Accuracy: 0.615, Validation Accuracy: 0.646, Loss: 0.533 Epoch 1 Batch 24/1077 - Train Accuracy: 0.621, Validation Accuracy: 0.623, Loss: 0.536 Epoch 1 Batch 25/1077 - Train Accuracy: 0.656, Validation Accuracy: 0.629, Loss: 0.502 Epoch 1 Batch 26/1077 - Train Accuracy: 0.605, Validation Accuracy: 0.644, Loss: 0.558 Epoch 1 Batch 27/1077 - Train Accuracy: 0.672, Validation Accuracy: 0.655, Loss: 0.502 Epoch 1 Batch 28/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.657, Loss: 0.520 Epoch 1 Batch 29/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.659, Loss: 0.529 Epoch 1 Batch 30/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.643, Loss: 0.531 Epoch 1 Batch 31/1077 - Train Accuracy: 0.646, Validation Accuracy: 0.636, Loss: 0.538 Epoch 1 Batch 32/1077 - Train Accuracy: 0.648, Validation Accuracy: 0.637, Loss: 0.495 Epoch 1 Batch 33/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.643, Loss: 0.512 Epoch 1 Batch 34/1077 - Train Accuracy: 0.656, Validation Accuracy: 0.651, Loss: 0.533 Epoch 1 Batch 35/1077 - Train Accuracy: 0.642, Validation Accuracy: 0.635, Loss: 0.520 Epoch 1 Batch 36/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.635, Loss: 0.516 Epoch 1 Batch 37/1077 - Train Accuracy: 0.646, Validation Accuracy: 0.648, Loss: 0.553 Epoch 1 Batch 38/1077 - Train Accuracy: 0.595, Validation Accuracy: 0.646, Loss: 0.574 Epoch 1 Batch 39/1077 - Train Accuracy: 0.624, Validation Accuracy: 0.633, Loss: 0.560 Epoch 1 Batch 40/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.626, Loss: 0.540 Epoch 1 Batch 41/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.657, Loss: 0.527 Epoch 1 Batch 42/1077 - Train Accuracy: 0.629, Validation Accuracy: 0.668, Loss: 0.547 Epoch 1 Batch 43/1077 - Train Accuracy: 0.674, Validation Accuracy: 0.660, Loss: 0.550 Epoch 1 Batch 44/1077 - Train Accuracy: 0.616, Validation Accuracy: 0.672, Loss: 0.539 Epoch 1 Batch 45/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.659, Loss: 0.538 Epoch 1 Batch 46/1077 - Train Accuracy: 0.620, Validation Accuracy: 0.655, Loss: 0.551 Epoch 1 Batch 47/1077 - Train Accuracy: 0.691, Validation Accuracy: 0.664, Loss: 0.536 Epoch 1 Batch 48/1077 - Train Accuracy: 0.650, Validation Accuracy: 0.653, Loss: 0.543 Epoch 1 Batch 49/1077 - Train Accuracy: 0.646, Validation Accuracy: 0.651, Loss: 0.510 Epoch 1 Batch 50/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.655, Loss: 0.526 Epoch 1 Batch 51/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.660, Loss: 0.508 Epoch 1 Batch 52/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.663, Loss: 0.542 Epoch 1 Batch 53/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.656, Loss: 0.545 Epoch 1 Batch 54/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.660, Loss: 0.549 Epoch 1 Batch 55/1077 - Train Accuracy: 0.687, Validation Accuracy: 0.664, Loss: 0.505 Epoch 1 Batch 56/1077 - Train Accuracy: 0.644, Validation Accuracy: 0.658, Loss: 0.502 Epoch 1 Batch 57/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.636, Loss: 0.489 Epoch 1 Batch 58/1077 - Train Accuracy: 0.643, Validation Accuracy: 0.639, Loss: 0.512 Epoch 1 Batch 59/1077 - Train Accuracy: 0.650, Validation Accuracy: 0.638, Loss: 0.539 Epoch 1 Batch 60/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.642, Loss: 0.496 Epoch 1 Batch 61/1077 - Train Accuracy: 0.671, Validation Accuracy: 0.637, Loss: 0.526 Epoch 1 Batch 62/1077 - Train Accuracy: 0.644, Validation Accuracy: 0.641, Loss: 0.544 Epoch 1 Batch 63/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.653, Loss: 0.490 Epoch 1 Batch 64/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.666, Loss: 0.506 Epoch 1 Batch 65/1077 - Train Accuracy: 0.630, Validation Accuracy: 0.657, Loss: 0.538 Epoch 1 Batch 66/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.647, Loss: 0.490 Epoch 1 Batch 67/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.659, Loss: 0.491 Epoch 1 Batch 68/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.658, Loss: 0.531 Epoch 1 Batch 69/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.671, Loss: 0.513 Epoch 1 Batch 70/1077 - Train Accuracy: 0.649, Validation Accuracy: 0.657, Loss: 0.531 Epoch 1 Batch 71/1077 - Train Accuracy: 0.689, Validation Accuracy: 0.657, Loss: 0.504 Epoch 1 Batch 72/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.656, Loss: 0.527 Epoch 1 Batch 73/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.654, Loss: 0.526 Epoch 1 Batch 74/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.637, Loss: 0.487 Epoch 1 Batch 75/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.635, Loss: 0.529 Epoch 1 Batch 76/1077 - Train Accuracy: 0.670, Validation Accuracy: 0.648, Loss: 0.485 Epoch 1 Batch 77/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.649, Loss: 0.509 Epoch 1 Batch 78/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.643, Loss: 0.531 Epoch 1 Batch 79/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.652, Loss: 0.499 Epoch 1 Batch 80/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.650, Loss: 0.516 Epoch 1 Batch 81/1077 - Train Accuracy: 0.652, Validation Accuracy: 0.665, Loss: 0.499 Epoch 1 Batch 82/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.683, Loss: 0.454 Epoch 1 Batch 83/1077 - Train Accuracy: 0.639, Validation Accuracy: 0.683, Loss: 0.539 Epoch 1 Batch 84/1077 - Train Accuracy: 0.677, Validation Accuracy: 0.668, Loss: 0.513 Epoch 1 Batch 85/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.668, Loss: 0.500 Epoch 1 Batch 86/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.669, Loss: 0.515 Epoch 1 Batch 87/1077 - Train Accuracy: 0.675, Validation Accuracy: 0.646, Loss: 0.519 Epoch 1 Batch 88/1077 - Train Accuracy: 0.675, Validation Accuracy: 0.654, Loss: 0.516 Epoch 1 Batch 89/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.668, Loss: 0.516 Epoch 1 Batch 90/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.677, Loss: 0.531 Epoch 1 Batch 91/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.669, Loss: 0.459 Epoch 1 Batch 92/1077 - Train Accuracy: 0.669, Validation Accuracy: 0.668, Loss: 0.488 Epoch 1 Batch 93/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.670, Loss: 0.520 Epoch 1 Batch 94/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.658, Loss: 0.471 Epoch 1 Batch 95/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.636, Loss: 0.507 Epoch 1 Batch 96/1077 - Train Accuracy: 0.640, Validation Accuracy: 0.643, Loss: 0.492 Epoch 1 Batch 97/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.634, Loss: 0.479 Epoch 1 Batch 98/1077 - Train Accuracy: 0.658, Validation Accuracy: 0.640, Loss: 0.481 Epoch 1 Batch 99/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.648, Loss: 0.535 Epoch 1 Batch 100/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.644, Loss: 0.503 Epoch 1 Batch 101/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.646, Loss: 0.505 Epoch 1 Batch 102/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.645, Loss: 0.483 Epoch 1 Batch 103/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.649, Loss: 0.541 Epoch 1 Batch 104/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.652, Loss: 0.537 Epoch 1 Batch 105/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.650, Loss: 0.507 Epoch 1 Batch 106/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.664, Loss: 0.539 Epoch 1 Batch 107/1077 - Train Accuracy: 0.644, Validation Accuracy: 0.653, Loss: 0.478 Epoch 1 Batch 108/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.659, Loss: 0.457 Epoch 1 Batch 109/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.647, Loss: 0.511 Epoch 1 Batch 110/1077 - Train Accuracy: 0.689, Validation Accuracy: 0.655, Loss: 0.480 Epoch 1 Batch 111/1077 - Train Accuracy: 0.652, Validation Accuracy: 0.669, Loss: 0.505 Epoch 1 Batch 112/1077 - Train Accuracy: 0.671, Validation Accuracy: 0.672, Loss: 0.504 Epoch 1 Batch 113/1077 - Train Accuracy: 0.635, Validation Accuracy: 0.651, Loss: 0.514 Epoch 1 Batch 114/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.662, Loss: 0.467 Epoch 1 Batch 115/1077 - Train Accuracy: 0.658, Validation Accuracy: 0.650, Loss: 0.506 Epoch 1 Batch 116/1077 - Train Accuracy: 0.607, Validation Accuracy: 0.668, Loss: 0.547 Epoch 1 Batch 117/1077 - Train Accuracy: 0.638, Validation Accuracy: 0.662, Loss: 0.519 Epoch 1 Batch 118/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.653, Loss: 0.555 Epoch 1 Batch 119/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.636, Loss: 0.493 Epoch 1 Batch 120/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.651, Loss: 0.522 Epoch 1 Batch 121/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.663, Loss: 0.510 Epoch 1 Batch 122/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.640, Loss: 0.484 Epoch 1 Batch 123/1077 - Train Accuracy: 0.656, Validation Accuracy: 0.646, Loss: 0.483 Epoch 1 Batch 124/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.656, Loss: 0.528 Epoch 1 Batch 125/1077 - Train Accuracy: 0.691, Validation Accuracy: 0.666, Loss: 0.489 Epoch 1 Batch 126/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.687, Loss: 0.485 Epoch 1 Batch 127/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.673, Loss: 0.477 Epoch 1 Batch 128/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.675, Loss: 0.474 Epoch 1 Batch 129/1077 - Train Accuracy: 0.691, Validation Accuracy: 0.671, Loss: 0.486 Epoch 1 Batch 130/1077 - Train Accuracy: 0.671, Validation Accuracy: 0.655, Loss: 0.477 Epoch 1 Batch 131/1077 - Train Accuracy: 0.638, Validation Accuracy: 0.662, Loss: 0.512 Epoch 1 Batch 132/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.667, Loss: 0.509 Epoch 1 Batch 133/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.662, Loss: 0.511 Epoch 1 Batch 134/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.655, Loss: 0.454 Epoch 1 Batch 135/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.657, Loss: 0.512 Epoch 1 Batch 136/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.659, Loss: 0.486 Epoch 1 Batch 137/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.652, Loss: 0.479 Epoch 1 Batch 138/1077 - Train Accuracy: 0.677, Validation Accuracy: 0.669, Loss: 0.489 Epoch 1 Batch 139/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.650, Loss: 0.509 Epoch 1 Batch 140/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.658, Loss: 0.493 Epoch 1 Batch 141/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.665, Loss: 0.495 Epoch 1 Batch 142/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.675, Loss: 0.474 Epoch 1 Batch 143/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.681, Loss: 0.507 Epoch 1 Batch 144/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.669, Loss: 0.529 Epoch 1 Batch 145/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.659, Loss: 0.508 Epoch 1 Batch 146/1077 - Train Accuracy: 0.670, Validation Accuracy: 0.665, Loss: 0.521 Epoch 1 Batch 147/1077 - Train Accuracy: 0.649, Validation Accuracy: 0.658, Loss: 0.514 Epoch 1 Batch 148/1077 - Train Accuracy: 0.646, Validation Accuracy: 0.653, Loss: 0.479 Epoch 1 Batch 149/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.642, Loss: 0.487 Epoch 1 Batch 150/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.647, Loss: 0.473 Epoch 1 Batch 151/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.650, Loss: 0.462 Epoch 1 Batch 152/1077 - Train Accuracy: 0.676, Validation Accuracy: 0.670, Loss: 0.491 Epoch 1 Batch 153/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.661, Loss: 0.508 Epoch 1 Batch 154/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.672, Loss: 0.515 Epoch 1 Batch 155/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.678, Loss: 0.486 Epoch 1 Batch 156/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.666, Loss: 0.506 Epoch 1 Batch 157/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.679, Loss: 0.481 Epoch 1 Batch 158/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.673, Loss: 0.485 Epoch 1 Batch 159/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.669, Loss: 0.470 Epoch 1 Batch 160/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.656, Loss: 0.474 Epoch 1 Batch 161/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.644, Loss: 0.488 Epoch 1 Batch 162/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.671, Loss: 0.532 Epoch 1 Batch 163/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.665, Loss: 0.523 Epoch 1 Batch 164/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.665, Loss: 0.490 Epoch 1 Batch 165/1077 - Train Accuracy: 0.675, Validation Accuracy: 0.662, Loss: 0.496 Epoch 1 Batch 166/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.671, Loss: 0.493 Epoch 1 Batch 167/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.669, Loss: 0.505 Epoch 1 Batch 168/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.663, Loss: 0.509 Epoch 1 Batch 169/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.646, Loss: 0.467 Epoch 1 Batch 170/1077 - Train Accuracy: 0.655, Validation Accuracy: 0.675, Loss: 0.509 Epoch 1 Batch 171/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.664, Loss: 0.449 Epoch 1 Batch 172/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.652, Loss: 0.454 Epoch 1 Batch 173/1077 - Train Accuracy: 0.671, Validation Accuracy: 0.653, Loss: 0.510 Epoch 1 Batch 174/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.662, Loss: 0.491 Epoch 1 Batch 175/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.677, Loss: 0.468 Epoch 1 Batch 176/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.650, Loss: 0.479 Epoch 1 Batch 177/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.662, Loss: 0.502 Epoch 1 Batch 178/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.648, Loss: 0.476 Epoch 1 Batch 179/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.651, Loss: 0.501 Epoch 1 Batch 180/1077 - Train Accuracy: 0.634, Validation Accuracy: 0.635, Loss: 0.478 Epoch 1 Batch 181/1077 - Train Accuracy: 0.647, Validation Accuracy: 0.645, Loss: 0.500 Epoch 1 Batch 182/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.644, Loss: 0.485 Epoch 1 Batch 183/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.643, Loss: 0.490 Epoch 1 Batch 184/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.657, Loss: 0.470 Epoch 1 Batch 185/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.661, Loss: 0.487 Epoch 1 Batch 186/1077 - Train Accuracy: 0.639, Validation Accuracy: 0.656, Loss: 0.487 Epoch 1 Batch 187/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.670, Loss: 0.476 Epoch 1 Batch 188/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.672, Loss: 0.486 Epoch 1 Batch 189/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.667, Loss: 0.471 Epoch 1 Batch 190/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.676, Loss: 0.468 Epoch 1 Batch 191/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.658, Loss: 0.434 Epoch 1 Batch 192/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.664, Loss: 0.468 Epoch 1 Batch 193/1077 - Train Accuracy: 0.678, Validation Accuracy: 0.659, Loss: 0.459 Epoch 1 Batch 194/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.660, Loss: 0.448 Epoch 1 Batch 195/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.644, Loss: 0.478 Epoch 1 Batch 196/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.636, Loss: 0.463 Epoch 1 Batch 197/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.659, Loss: 0.462 Epoch 1 Batch 198/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.650, Loss: 0.442 Epoch 1 Batch 199/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.668, Loss: 0.460 Epoch 1 Batch 200/1077 - Train Accuracy: 0.676, Validation Accuracy: 0.663, Loss: 0.487 Epoch 1 Batch 201/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.671, Loss: 0.449 Epoch 1 Batch 202/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.666, Loss: 0.480 Epoch 1 Batch 203/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.664, Loss: 0.458 Epoch 1 Batch 204/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.657, Loss: 0.495 Epoch 1 Batch 205/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.653, Loss: 0.467 Epoch 1 Batch 206/1077 - Train Accuracy: 0.687, Validation Accuracy: 0.654, Loss: 0.466 Epoch 1 Batch 207/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.652, Loss: 0.468 Epoch 1 Batch 208/1077 - Train Accuracy: 0.652, Validation Accuracy: 0.653, Loss: 0.457 Epoch 1 Batch 209/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.657, Loss: 0.446 Epoch 1 Batch 210/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.654, Loss: 0.460 Epoch 1 Batch 211/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.646, Loss: 0.472 Epoch 1 Batch 212/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.653, Loss: 0.448 Epoch 1 Batch 213/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.657, Loss: 0.447 Epoch 1 Batch 214/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.654, Loss: 0.464 Epoch 1 Batch 215/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.661, Loss: 0.473 Epoch 1 Batch 216/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.679, Loss: 0.478 Epoch 1 Batch 217/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.667, Loss: 0.469 Epoch 1 Batch 218/1077 - Train Accuracy: 0.669, Validation Accuracy: 0.676, Loss: 0.512 Epoch 1 Batch 219/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.672, Loss: 0.463 Epoch 1 Batch 220/1077 - Train Accuracy: 0.678, Validation Accuracy: 0.663, Loss: 0.483 Epoch 1 Batch 221/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.665, Loss: 0.492 Epoch 1 Batch 222/1077 - Train Accuracy: 0.651, Validation Accuracy: 0.673, Loss: 0.489 Epoch 1 Batch 223/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.662, Loss: 0.451 Epoch 1 Batch 224/1077 - Train Accuracy: 0.636, Validation Accuracy: 0.653, Loss: 0.480 Epoch 1 Batch 225/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.657, Loss: 0.473 Epoch 1 Batch 226/1077 - Train Accuracy: 0.672, Validation Accuracy: 0.674, Loss: 0.485 Epoch 1 Batch 227/1077 - Train Accuracy: 0.624, Validation Accuracy: 0.668, Loss: 0.500 Epoch 1 Batch 228/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.676, Loss: 0.446 Epoch 1 Batch 229/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.658, Loss: 0.452 Epoch 1 Batch 230/1077 - Train Accuracy: 0.672, Validation Accuracy: 0.653, Loss: 0.466 Epoch 1 Batch 231/1077 - Train Accuracy: 0.678, Validation Accuracy: 0.658, Loss: 0.487 Epoch 1 Batch 232/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.664, Loss: 0.498 Epoch 1 Batch 233/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.677, Loss: 0.484 Epoch 1 Batch 234/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.668, Loss: 0.455 Epoch 1 Batch 235/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.664, Loss: 0.439 Epoch 1 Batch 236/1077 - Train Accuracy: 0.674, Validation Accuracy: 0.671, Loss: 0.486 Epoch 1 Batch 237/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.672, Loss: 0.446 Epoch 1 Batch 238/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.656, Loss: 0.459 Epoch 1 Batch 239/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.673, Loss: 0.445 Epoch 1 Batch 240/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.686, Loss: 0.451 Epoch 1 Batch 241/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.706, Loss: 0.448 Epoch 1 Batch 242/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.696, Loss: 0.462 Epoch 1 Batch 243/1077 - Train Accuracy: 0.674, Validation Accuracy: 0.686, Loss: 0.493 Epoch 1 Batch 244/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.680, Loss: 0.444 Epoch 1 Batch 245/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.668, Loss: 0.449 Epoch 1 Batch 246/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.662, Loss: 0.465 Epoch 1 Batch 247/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.640, Loss: 0.443 Epoch 1 Batch 248/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.636, Loss: 0.465 Epoch 1 Batch 249/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.645, Loss: 0.448 Epoch 1 Batch 250/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.637, Loss: 0.436 Epoch 1 Batch 251/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.654, Loss: 0.468 Epoch 1 Batch 252/1077 - Train Accuracy: 0.689, Validation Accuracy: 0.668, Loss: 0.462 Epoch 1 Batch 253/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.675, Loss: 0.435 Epoch 1 Batch 254/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.683, Loss: 0.461 Epoch 1 Batch 255/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.675, Loss: 0.464 Epoch 1 Batch 256/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.662, Loss: 0.510 Epoch 1 Batch 257/1077 - Train Accuracy: 0.687, Validation Accuracy: 0.677, Loss: 0.462 Epoch 1 Batch 258/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.680, Loss: 0.449 Epoch 1 Batch 259/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.683, Loss: 0.460 Epoch 1 Batch 260/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.668, Loss: 0.436 Epoch 1 Batch 261/1077 - Train Accuracy: 0.674, Validation Accuracy: 0.669, Loss: 0.446 Epoch 1 Batch 262/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.678, Loss: 0.455 Epoch 1 Batch 263/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.661, Loss: 0.461 Epoch 1 Batch 264/1077 - Train Accuracy: 0.677, Validation Accuracy: 0.667, Loss: 0.463 Epoch 1 Batch 265/1077 - Train Accuracy: 0.675, Validation Accuracy: 0.661, Loss: 0.466 Epoch 1 Batch 266/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.665, Loss: 0.455 Epoch 1 Batch 267/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.645, Loss: 0.425 Epoch 1 Batch 268/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.668, Loss: 0.480 Epoch 1 Batch 269/1077 - Train Accuracy: 0.639, Validation Accuracy: 0.648, Loss: 0.502 Epoch 1 Batch 270/1077 - Train Accuracy: 0.626, Validation Accuracy: 0.642, Loss: 0.493 Epoch 1 Batch 271/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.664, Loss: 0.447 Epoch 1 Batch 272/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.615, Loss: 0.479 Epoch 1 Batch 273/1077 - Train Accuracy: 0.648, Validation Accuracy: 0.621, Loss: 0.448 Epoch 1 Batch 274/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.649, Loss: 0.461 Epoch 1 Batch 275/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.669, Loss: 0.438 Epoch 1 Batch 276/1077 - Train Accuracy: 0.645, Validation Accuracy: 0.672, Loss: 0.504 Epoch 1 Batch 277/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.676, Loss: 0.413 Epoch 1 Batch 278/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.662, Loss: 0.492 Epoch 1 Batch 279/1077 - Train Accuracy: 0.664, Validation Accuracy: 0.669, Loss: 0.515 Epoch 1 Batch 280/1077 - Train Accuracy: 0.657, Validation Accuracy: 0.664, Loss: 0.471 Epoch 1 Batch 281/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.688, Loss: 0.477 Epoch 1 Batch 282/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.673, Loss: 0.478 Epoch 1 Batch 283/1077 - Train Accuracy: 0.694, Validation Accuracy: 0.673, Loss: 0.447 Epoch 1 Batch 284/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.686, Loss: 0.471 Epoch 1 Batch 285/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.667, Loss: 0.456 Epoch 1 Batch 286/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.662, Loss: 0.438 Epoch 1 Batch 287/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.668, Loss: 0.446 Epoch 1 Batch 288/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.681, Loss: 0.469 Epoch 1 Batch 289/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.666, Loss: 0.469 Epoch 1 Batch 290/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.662, Loss: 0.469 Epoch 1 Batch 291/1077 - Train Accuracy: 0.670, Validation Accuracy: 0.670, Loss: 0.460 Epoch 1 Batch 292/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.677, Loss: 0.447 Epoch 1 Batch 293/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.680, Loss: 0.488 Epoch 1 Batch 294/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.689, Loss: 0.436 Epoch 1 Batch 295/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.696, Loss: 0.476 Epoch 1 Batch 296/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.672, Loss: 0.415 Epoch 1 Batch 297/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.664, Loss: 0.475 Epoch 1 Batch 298/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.659, Loss: 0.495 Epoch 1 Batch 299/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.671, Loss: 0.444 Epoch 1 Batch 300/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.669, Loss: 0.446 Epoch 1 Batch 301/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.673, Loss: 0.452 Epoch 1 Batch 302/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.687, Loss: 0.447 Epoch 1 Batch 303/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.684, Loss: 0.454 Epoch 1 Batch 304/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.697, Loss: 0.428 Epoch 1 Batch 305/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.700, Loss: 0.447 Epoch 1 Batch 306/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.699, Loss: 0.430 Epoch 1 Batch 307/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.690, Loss: 0.446 Epoch 1 Batch 308/1077 - Train Accuracy: 0.669, Validation Accuracy: 0.676, Loss: 0.474 Epoch 1 Batch 309/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.668, Loss: 0.417 Epoch 1 Batch 310/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.658, Loss: 0.477 Epoch 1 Batch 311/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.683, Loss: 0.450 Epoch 1 Batch 312/1077 - Train Accuracy: 0.677, Validation Accuracy: 0.667, Loss: 0.481 Epoch 1 Batch 313/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.667, Loss: 0.439 Epoch 1 Batch 314/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.685, Loss: 0.451 Epoch 1 Batch 315/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.685, Loss: 0.419 Epoch 1 Batch 316/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.686, Loss: 0.417 Epoch 1 Batch 317/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.671, Loss: 0.475 Epoch 1 Batch 318/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.700, Loss: 0.453 Epoch 1 Batch 319/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.705, Loss: 0.453 Epoch 1 Batch 320/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.717, Loss: 0.456 Epoch 1 Batch 321/1077 - Train Accuracy: 0.661, Validation Accuracy: 0.700, Loss: 0.451 Epoch 1 Batch 322/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.702, Loss: 0.435 Epoch 1 Batch 323/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.688, Loss: 0.463 Epoch 1 Batch 324/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.685, Loss: 0.446 Epoch 1 Batch 325/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.669, Loss: 0.429 Epoch 1 Batch 326/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.657, Loss: 0.425 Epoch 1 Batch 327/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.666, Loss: 0.474 Epoch 1 Batch 328/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.645, Loss: 0.450 Epoch 1 Batch 329/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.647, Loss: 0.468 Epoch 1 Batch 330/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.661, Loss: 0.442 Epoch 1 Batch 331/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.657, Loss: 0.457 Epoch 1 Batch 332/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.650, Loss: 0.404 Epoch 1 Batch 333/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.661, Loss: 0.450 Epoch 1 Batch 334/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.657, Loss: 0.425 Epoch 1 Batch 335/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.656, Loss: 0.429 Epoch 1 Batch 336/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.654, Loss: 0.466 Epoch 1 Batch 337/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.656, Loss: 0.468 Epoch 1 Batch 338/1077 - Train Accuracy: 0.653, Validation Accuracy: 0.654, Loss: 0.471 Epoch 1 Batch 339/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.654, Loss: 0.435 Epoch 1 Batch 340/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.657, Loss: 0.455 Epoch 1 Batch 341/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.692, Loss: 0.494 Epoch 1 Batch 342/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.667, Loss: 0.422 Epoch 1 Batch 343/1077 - Train Accuracy: 0.694, Validation Accuracy: 0.665, Loss: 0.465 Epoch 1 Batch 344/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.665, Loss: 0.460 Epoch 1 Batch 345/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.677, Loss: 0.444 Epoch 1 Batch 346/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.668, Loss: 0.451 Epoch 1 Batch 347/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.677, Loss: 0.424 Epoch 1 Batch 348/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.650, Loss: 0.422 Epoch 1 Batch 349/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.673, Loss: 0.458 Epoch 1 Batch 350/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.681, Loss: 0.457 Epoch 1 Batch 351/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.684, Loss: 0.483 Epoch 1 Batch 352/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.672, Loss: 0.452 Epoch 1 Batch 353/1077 - Train Accuracy: 0.653, Validation Accuracy: 0.668, Loss: 0.493 Epoch 1 Batch 354/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.691, Loss: 0.477 Epoch 1 Batch 355/1077 - Train Accuracy: 0.660, Validation Accuracy: 0.685, Loss: 0.446 Epoch 1 Batch 356/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.672, Loss: 0.446 Epoch 1 Batch 357/1077 - Train Accuracy: 0.669, Validation Accuracy: 0.685, Loss: 0.436 Epoch 1 Batch 358/1077 - Train Accuracy: 0.643, Validation Accuracy: 0.669, Loss: 0.475 Epoch 1 Batch 359/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.683, Loss: 0.468 Epoch 1 Batch 360/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.691, Loss: 0.445 Epoch 1 Batch 361/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.675, Loss: 0.470 Epoch 1 Batch 362/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.673, Loss: 0.439 Epoch 1 Batch 363/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.679, Loss: 0.454 Epoch 1 Batch 364/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.679, Loss: 0.467 Epoch 1 Batch 365/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.689, Loss: 0.433 Epoch 1 Batch 366/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.675, Loss: 0.445 Epoch 1 Batch 367/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.649, Loss: 0.404 Epoch 1 Batch 368/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.661, Loss: 0.436 Epoch 1 Batch 369/1077 - Train Accuracy: 0.699, Validation Accuracy: 0.668, Loss: 0.440 Epoch 1 Batch 370/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.659, Loss: 0.445 Epoch 1 Batch 371/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.663, Loss: 0.434 Epoch 1 Batch 372/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.683, Loss: 0.420 Epoch 1 Batch 373/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.694, Loss: 0.407 Epoch 1 Batch 374/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.706, Loss: 0.462 Epoch 1 Batch 375/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.699, Loss: 0.418 Epoch 1 Batch 376/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.714, Loss: 0.428 Epoch 1 Batch 377/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.709, Loss: 0.445 Epoch 1 Batch 378/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.705, Loss: 0.423 Epoch 1 Batch 379/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.708, Loss: 0.445 Epoch 1 Batch 38