Epoch 0 Batch 1/269 - Train Accuracy: 0.2329, Validation Accuracy: 0.3096, Loss: 5.7262 Epoch 0 Batch 2/269 - Train Accuracy: 0.2655, Validation Accuracy: 0.3096, Loss: 5.5192 Epoch 0 Batch 3/269 - Train Accuracy: 0.2444, Validation Accuracy: 0.3096, Loss: 5.3796 Epoch 0 Batch 4/269 - Train Accuracy: 0.2317, Validation Accuracy: 0.3096, Loss: 5.2292 Epoch 0 Batch 5/269 - Train Accuracy: 0.2325, Validation Accuracy: 0.3096, Loss: 5.0729 Epoch 0 Batch 6/269 - Train Accuracy: 0.2787, Validation Accuracy: 0.3099, Loss: 4.7808 Epoch 0 Batch 7/269 - Train Accuracy: 0.2840, Validation Accuracy: 0.3177, Loss: 4.6387 Epoch 0 Batch 8/269 - Train Accuracy: 0.2535, Validation Accuracy: 0.3223, Loss: 4.6668 Epoch 0 Batch 9/269 - Train Accuracy: 0.2866, Validation Accuracy: 0.3283, Loss: 4.4565 Epoch 0 Batch 10/269 - Train Accuracy: 0.2659, Validation Accuracy: 0.3399, Loss: 4.5089 Epoch 0 Batch 11/269 - Train Accuracy: 0.3055, Validation Accuracy: 0.3411, Loss: 4.2574 Epoch 0 Batch 12/269 - Train Accuracy: 0.2791, Validation Accuracy: 0.3421, Loss: 4.3017 Epoch 0 Batch 13/269 - Train Accuracy: 0.3443, Validation Accuracy: 0.3427, Loss: 3.9052 Epoch 0 Batch 14/269 - Train Accuracy: 0.3053, Validation Accuracy: 0.3426, Loss: 4.0173 Epoch 0 Batch 15/269 - Train Accuracy: 0.2960, Validation Accuracy: 0.3426, Loss: 3.9817 Epoch 0 Batch 16/269 - Train Accuracy: 0.3116, Validation Accuracy: 0.3426, Loss: 3.8692 Epoch 0 Batch 17/269 - Train Accuracy: 0.3022, Validation Accuracy: 0.3427, Loss: 3.8145 Epoch 0 Batch 18/269 - Train Accuracy: 0.2711, Validation Accuracy: 0.3427, Loss: 3.8973 Epoch 0 Batch 19/269 - Train Accuracy: 0.3412, Validation Accuracy: 0.3427, Loss: 3.5360 Epoch 0 Batch 20/269 - Train Accuracy: 0.2751, Validation Accuracy: 0.3428, Loss: 3.7738 Epoch 0 Batch 21/269 - Train Accuracy: 0.2934, Validation Accuracy: 0.3593, Loss: 3.7429 Epoch 0 Batch 22/269 - Train Accuracy: 0.3449, Validation Accuracy: 0.3709, Loss: 3.5209 Epoch 0 Batch 23/269 - Train Accuracy: 0.3613, Validation Accuracy: 0.3775, Loss: 3.4517 Epoch 0 Batch 24/269 - Train Accuracy: 0.2949, Validation Accuracy: 0.3622, Loss: 3.5959 Epoch 0 Batch 25/269 - Train Accuracy: 0.2918, Validation Accuracy: 0.3548, Loss: 3.5642 Epoch 0 Batch 26/269 - Train Accuracy: 0.3580, Validation Accuracy: 0.3565, Loss: 3.2350 Epoch 0 Batch 27/269 - Train Accuracy: 0.3185, Validation Accuracy: 0.3538, Loss: 3.3540 Epoch 0 Batch 28/269 - Train Accuracy: 0.3000, Validation Accuracy: 0.3770, Loss: 3.5321 Epoch 0 Batch 29/269 - Train Accuracy: 0.3071, Validation Accuracy: 0.3738, Loss: 3.4388 Epoch 0 Batch 30/269 - Train Accuracy: 0.3344, Validation Accuracy: 0.3734, Loss: 3.2954 Epoch 0 Batch 31/269 - Train Accuracy: 0.3444, Validation Accuracy: 0.3722, Loss: 3.2377 Epoch 0 Batch 32/269 - Train Accuracy: 0.3340, Validation Accuracy: 0.3736, Loss: 3.2550 Epoch 0 Batch 33/269 - Train Accuracy: 0.3449, Validation Accuracy: 0.3738, Loss: 3.1640 Epoch 0 Batch 34/269 - Train Accuracy: 0.3429, Validation Accuracy: 0.3755, Loss: 3.1753 Epoch 0 Batch 35/269 - Train Accuracy: 0.3545, Validation Accuracy: 0.3840, Loss: 3.1487 Epoch 0 Batch 36/269 - Train Accuracy: 0.3724, Validation Accuracy: 0.4056, Loss: 3.1315 Epoch 0 Batch 37/269 - Train Accuracy: 0.4041, Validation Accuracy: 0.4326, Loss: 3.1066 Epoch 0 Batch 38/269 - Train Accuracy: 0.3997, Validation Accuracy: 0.4314, Loss: 3.1051 Epoch 0 Batch 39/269 - Train Accuracy: 0.3948, Validation Accuracy: 0.4229, Loss: 3.0761 Epoch 0 Batch 40/269 - Train Accuracy: 0.3735, Validation Accuracy: 0.4267, Loss: 3.2056 Epoch 0 Batch 41/269 - Train Accuracy: 0.4106, Validation Accuracy: 0.4411, Loss: 3.0601 Epoch 0 Batch 42/269 - Train Accuracy: 0.4292, Validation Accuracy: 0.4330, Loss: 2.9160 Epoch 0 Batch 43/269 - Train Accuracy: 0.3710, Validation Accuracy: 0.4228, Loss: 3.1254 Epoch 0 Batch 44/269 - Train Accuracy: 0.4107, Validation Accuracy: 0.4302, Loss: 2.9973 Epoch 0 Batch 45/269 - Train Accuracy: 0.3903, Validation Accuracy: 0.4442, Loss: 3.1261 Epoch 0 Batch 46/269 - Train Accuracy: 0.3740, Validation Accuracy: 0.4356, Loss: 3.1623 Epoch 0 Batch 47/269 - Train Accuracy: 0.4342, Validation Accuracy: 0.4339, Loss: 2.8194 Epoch 0 Batch 48/269 - Train Accuracy: 0.4222, Validation Accuracy: 0.4490, Loss: 2.9217 Epoch 0 Batch 49/269 - Train Accuracy: 0.3937, Validation Accuracy: 0.4498, Loss: 3.0640 Epoch 0 Batch 50/269 - Train Accuracy: 0.3934, Validation Accuracy: 0.4453, Loss: 3.0595 Epoch 0 Batch 51/269 - Train Accuracy: 0.4178, Validation Accuracy: 0.4533, Loss: 2.9510 Epoch 0 Batch 52/269 - Train Accuracy: 0.4314, Validation Accuracy: 0.4569, Loss: 2.8921 Epoch 0 Batch 53/269 - Train Accuracy: 0.4024, Validation Accuracy: 0.4561, Loss: 3.0218 Epoch 0 Batch 54/269 - Train Accuracy: 0.4037, Validation Accuracy: 0.4557, Loss: 2.9993 Epoch 0 Batch 55/269 - Train Accuracy: 0.4223, Validation Accuracy: 0.4498, Loss: 2.8690 Epoch 0 Batch 56/269 - Train Accuracy: 0.4288, Validation Accuracy: 0.4538, Loss: 2.8517 Epoch 0 Batch 57/269 - Train Accuracy: 0.4171, Validation Accuracy: 0.4425, Loss: 2.8327 Epoch 0 Batch 58/269 - Train Accuracy: 0.4304, Validation Accuracy: 0.4507, Loss: 2.8354 Epoch 0 Batch 59/269 - Train Accuracy: 0.4275, Validation Accuracy: 0.4535, Loss: 2.8191 Epoch 0 Batch 60/269 - Train Accuracy: 0.4328, Validation Accuracy: 0.4500, Loss: 2.7428 Epoch 0 Batch 61/269 - Train Accuracy: 0.4536, Validation Accuracy: 0.4561, Loss: 2.6664 Epoch 0 Batch 62/269 - Train Accuracy: 0.4573, Validation Accuracy: 0.4528, Loss: 2.6864 Epoch 0 Batch 63/269 - Train Accuracy: 0.4329, Validation Accuracy: 0.4609, Loss: 2.7687 Epoch 0 Batch 64/269 - Train Accuracy: 0.4169, Validation Accuracy: 0.4482, Loss: 2.7705 Epoch 0 Batch 65/269 - Train Accuracy: 0.4316, Validation Accuracy: 0.4555, Loss: 2.7464 Epoch 0 Batch 66/269 - Train Accuracy: 0.4489, Validation Accuracy: 0.4585, Loss: 2.6635 Epoch 0 Batch 67/269 - Train Accuracy: 0.4314, Validation Accuracy: 0.4636, Loss: 2.7536 Epoch 0 Batch 68/269 - Train Accuracy: 0.4356, Validation Accuracy: 0.4662, Loss: 2.7344 Epoch 0 Batch 69/269 - Train Accuracy: 0.4077, Validation Accuracy: 0.4640, Loss: 2.8731 Epoch 0 Batch 70/269 - Train Accuracy: 0.4488, Validation Accuracy: 0.4681, Loss: 2.6961 Epoch 0 Batch 71/269 - Train Accuracy: 0.4192, Validation Accuracy: 0.4690, Loss: 2.8332 Epoch 0 Batch 72/269 - Train Accuracy: 0.4567, Validation Accuracy: 0.4640, Loss: 2.5873 Epoch 0 Batch 73/269 - Train Accuracy: 0.4391, Validation Accuracy: 0.4645, Loss: 2.6788 Epoch 0 Batch 74/269 - Train Accuracy: 0.4229, Validation Accuracy: 0.4635, Loss: 2.7760 Epoch 0 Batch 75/269 - Train Accuracy: 0.4439, Validation Accuracy: 0.4691, Loss: 2.6535 Epoch 0 Batch 76/269 - Train Accuracy: 0.4336, Validation Accuracy: 0.4685, Loss: 2.7044 Epoch 0 Batch 77/269 - Train Accuracy: 0.4525, Validation Accuracy: 0.4665, Loss: 2.6265 Epoch 0 Batch 78/269 - Train Accuracy: 0.4408, Validation Accuracy: 0.4702, Loss: 2.6579 Epoch 0 Batch 79/269 - Train Accuracy: 0.4395, Validation Accuracy: 0.4674, Loss: 2.6439 Epoch 0 Batch 80/269 - Train Accuracy: 0.4524, Validation Accuracy: 0.4719, Loss: 2.5661 Epoch 0 Batch 81/269 - Train Accuracy: 0.4426, Validation Accuracy: 0.4677, Loss: 2.6215 Epoch 0 Batch 82/269 - Train Accuracy: 0.4592, Validation Accuracy: 0.4749, Loss: 2.5633 Epoch 0 Batch 83/269 - Train Accuracy: 0.4453, Validation Accuracy: 0.4672, Loss: 2.5624 Epoch 0 Batch 84/269 - Train Accuracy: 0.4560, Validation Accuracy: 0.4769, Loss: 2.5879 Epoch 0 Batch 85/269 - Train Accuracy: 0.4442, Validation Accuracy: 0.4767, Loss: 2.5916 Epoch 0 Batch 86/269 - Train Accuracy: 0.4494, Validation Accuracy: 0.4728, Loss: 2.5792 Epoch 0 Batch 87/269 - Train Accuracy: 0.3909, Validation Accuracy: 0.4667, Loss: 2.7354 Epoch 0 Batch 88/269 - Train Accuracy: 0.4483, Validation Accuracy: 0.4648, Loss: 2.5689 Epoch 0 Batch 89/269 - Train Accuracy: 0.4643, Validation Accuracy: 0.4801, Loss: 2.5399 Epoch 0 Batch 90/269 - Train Accuracy: 0.4162, Validation Accuracy: 0.4808, Loss: 2.6791 Epoch 0 Batch 91/269 - Train Accuracy: 0.4518, Validation Accuracy: 0.4752, Loss: 2.5248 Epoch 0 Batch 92/269 - Train Accuracy: 0.4525, Validation Accuracy: 0.4775, Loss: 2.5198 Epoch 0 Batch 93/269 - Train Accuracy: 0.4743, Validation Accuracy: 0.4825, Loss: 2.4282 Epoch 0 Batch 94/269 - Train Accuracy: 0.4644, Validation Accuracy: 0.4833, Loss: 2.4931 Epoch 0 Batch 95/269 - Train Accuracy: 0.4535, Validation Accuracy: 0.4785, Loss: 2.4889 Epoch 0 Batch 96/269 - Train Accuracy: 0.4553, Validation Accuracy: 0.4794, Loss: 2.4823 Epoch 0 Batch 97/269 - Train Accuracy: 0.4594, Validation Accuracy: 0.4795, Loss: 2.4660 Epoch 0 Batch 98/269 - Train Accuracy: 0.4634, Validation Accuracy: 0.4787, Loss: 2.4319 Epoch 0 Batch 99/269 - Train Accuracy: 0.4300, Validation Accuracy: 0.4834, Loss: 2.5870 Epoch 0 Batch 100/269 - Train Accuracy: 0.4832, Validation Accuracy: 0.4861, Loss: 2.3901 Epoch 0 Batch 101/269 - Train Accuracy: 0.4228, Validation Accuracy: 0.4767, Loss: 2.5665 Epoch 0 Batch 102/269 - Train Accuracy: 0.4592, Validation Accuracy: 0.4829, Loss: 2.4401 Epoch 0 Batch 103/269 - Train Accuracy: 0.4626, Validation Accuracy: 0.4808, Loss: 2.4231 Epoch 0 Batch 104/269 - Train Accuracy: 0.4488, Validation Accuracy: 0.4812, Loss: 2.4278 Epoch 0 Batch 105/269 - Train Accuracy: 0.4529, Validation Accuracy: 0.4859, Loss: 2.4338 Epoch 0 Batch 106/269 - Train Accuracy: 0.4544, Validation Accuracy: 0.4901, Loss: 2.4218 Epoch 0 Batch 107/269 - Train Accuracy: 0.4151, Validation Accuracy: 0.4820, Loss: 2.5388 Epoch 0 Batch 108/269 - Train Accuracy: 0.4593, Validation Accuracy: 0.4867, Loss: 2.4064 Epoch 0 Batch 109/269 - Train Accuracy: 0.4541, Validation Accuracy: 0.4866, Loss: 2.3880 Epoch 0 Batch 110/269 - Train Accuracy: 0.4488, Validation Accuracy: 0.4838, Loss: 2.3783 Epoch 0 Batch 111/269 - Train Accuracy: 0.4302, Validation Accuracy: 0.4843, Loss: 2.5120 Epoch 0 Batch 112/269 - Train Accuracy: 0.4636, Validation Accuracy: 0.4878, Loss: 2.3477 Epoch 0 Batch 113/269 - Train Accuracy: 0.4832, Validation Accuracy: 0.4885, Loss: 2.2506 Epoch 0 Batch 114/269 - Train Accuracy: 0.4625, Validation Accuracy: 0.4943, Loss: 2.3329 Epoch 0 Batch 115/269 - Train Accuracy: 0.4273, Validation Accuracy: 0.4869, Loss: 2.4452 Epoch 0 Batch 116/269 - Train Accuracy: 0.4769, Validation Accuracy: 0.4956, Loss: 2.3395 Epoch 0 Batch 117/269 - Train Accuracy: 0.4539, Validation Accuracy: 0.4890, Loss: 2.3327 Epoch 0 Batch 118/269 - Train Accuracy: 0.4812, Validation Accuracy: 0.4893, Loss: 2.2513 Epoch 0 Batch 119/269 - Train Accuracy: 0.4500, Validation Accuracy: 0.4916, Loss: 2.4051 Epoch 0 Batch 120/269 - Train Accuracy: 0.4330, Validation Accuracy: 0.4873, Loss: 2.4097 Epoch 0 Batch 121/269 - Train Accuracy: 0.4660, Validation Accuracy: 0.4933, Loss: 2.2843 Epoch 0 Batch 122/269 - Train Accuracy: 0.4748, Validation Accuracy: 0.4905, Loss: 2.2582 Epoch 0 Batch 123/269 - Train Accuracy: 0.4249, Validation Accuracy: 0.4903, Loss: 2.3993 Epoch 0 Batch 124/269 - Train Accuracy: 0.4733, Validation Accuracy: 0.4988, Loss: 2.2576 Epoch 0 Batch 125/269 - Train Accuracy: 0.4540, Validation Accuracy: 0.4867, Loss: 2.2461 Epoch 0 Batch 126/269 - Train Accuracy: 0.4740, Validation Accuracy: 0.4874, Loss: 2.2198 Epoch 0 Batch 127/269 - Train Accuracy: 0.4385, Validation Accuracy: 0.4877, Loss: 2.3597 Epoch 0 Batch 128/269 - Train Accuracy: 0.4765, Validation Accuracy: 0.4909, Loss: 2.2107 Epoch 0 Batch 129/269 - Train Accuracy: 0.4647, Validation Accuracy: 0.4967, Loss: 2.2413 Epoch 0 Batch 130/269 - Train Accuracy: 0.4225, Validation Accuracy: 0.4880, Loss: 2.3685 Epoch 0 Batch 131/269 - Train Accuracy: 0.4521, Validation Accuracy: 0.4938, Loss: 2.3164 Epoch 0 Batch 132/269 - Train Accuracy: 0.4542, Validation Accuracy: 0.4887, Loss: 2.2225 Epoch 0 Batch 133/269 - Train Accuracy: 0.4643, Validation Accuracy: 0.4893, Loss: 2.2018 Epoch 0 Batch 134/269 - Train Accuracy: 0.4339, Validation Accuracy: 0.4901, Loss: 2.2850 Epoch 0 Batch 135/269 - Train Accuracy: 0.4334, Validation Accuracy: 0.4943, Loss: 2.3274 Epoch 0 Batch 136/269 - Train Accuracy: 0.4357, Validation Accuracy: 0.4969, Loss: 2.3018 Epoch 0 Batch 137/269 - Train Accuracy: 0.4520, Validation Accuracy: 0.4996, Loss: 2.2673 Epoch 0 Batch 138/269 - Train Accuracy: 0.4590, Validation Accuracy: 0.4990, Loss: 2.2216 Epoch 0 Batch 139/269 - Train Accuracy: 0.4639, Validation Accuracy: 0.4846, Loss: 2.1255 Epoch 0 Batch 140/269 - Train Accuracy: 0.4696, Validation Accuracy: 0.4887, Loss: 2.1456 Epoch 0 Batch 141/269 - Train Accuracy: 0.4524, Validation Accuracy: 0.4873, Loss: 2.1877 Epoch 0 Batch 142/269 - Train Accuracy: 0.4639, Validation Accuracy: 0.4901, Loss: 2.1138 Epoch 0 Batch 143/269 - Train Accuracy: 0.4764, Validation Accuracy: 0.5041, Loss: 2.1328 Epoch 0 Batch 144/269 - Train Accuracy: 0.4688, Validation Accuracy: 0.4956, Loss: 2.1164 Epoch 0 Batch 145/269 - Train Accuracy: 0.4659, Validation Accuracy: 0.4980, Loss: 2.1204 Epoch 0 Batch 146/269 - Train Accuracy: 0.4694, Validation Accuracy: 0.4957, Loss: 2.0783 Epoch 0 Batch 147/269 - Train Accuracy: 0.4866, Validation Accuracy: 0.4907, Loss: 1.9982 Epoch 0 Batch 148/269 - Train Accuracy: 0.4584, Validation Accuracy: 0.4897, Loss: 2.1440 Epoch 0 Batch 149/269 - Train Accuracy: 0.4584, Validation Accuracy: 0.4837, Loss: 2.0843 Epoch 0 Batch 150/269 - Train Accuracy: 0.4765, Validation Accuracy: 0.5033, Loss: 2.0900 Epoch 0 Batch 151/269 - Train Accuracy: 0.5154, Validation Accuracy: 0.5090, Loss: 1.9720 Epoch 0 Batch 152/269 - Train Accuracy: 0.4475, Validation Accuracy: 0.4810, Loss: 2.0803 Epoch 0 Batch 153/269 - Train Accuracy: 0.4792, Validation Accuracy: 0.5021, Loss: 2.0697 Epoch 0 Batch 154/269 - Train Accuracy: 0.4464, Validation Accuracy: 0.5036, Loss: 2.1562 Epoch 0 Batch 155/269 - Train Accuracy: 0.4896, Validation Accuracy: 0.4917, Loss: 1.9451 Epoch 0 Batch 156/269 - Train Accuracy: 0.4604, Validation Accuracy: 0.5016, Loss: 2.1030 Epoch 0 Batch 157/269 - Train Accuracy: 0.4789, Validation Accuracy: 0.5053, Loss: 2.0173 Epoch 0 Batch 158/269 - Train Accuracy: 0.4639, Validation Accuracy: 0.4947, Loss: 2.0127 Epoch 0 Batch 159/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5114, Loss: 2.0261 Epoch 0 Batch 160/269 - Train Accuracy: 0.4826, Validation Accuracy: 0.5043, Loss: 2.0013 Epoch 0 Batch 161/269 - Train Accuracy: 0.4679, Validation Accuracy: 0.5061, Loss: 2.0274 Epoch 0 Batch 162/269 - Train Accuracy: 0.4789, Validation Accuracy: 0.5065, Loss: 1.9795 Epoch 0 Batch 163/269 - Train Accuracy: 0.4825, Validation Accuracy: 0.4974, Loss: 1.9755 Epoch 0 Batch 164/269 - Train Accuracy: 0.4781, Validation Accuracy: 0.5002, Loss: 1.9787 Epoch 0 Batch 165/269 - Train Accuracy: 0.4405, Validation Accuracy: 0.5030, Loss: 2.0453 Epoch 0 Batch 166/269 - Train Accuracy: 0.5074, Validation Accuracy: 0.5052, Loss: 1.8504 Epoch 0 Batch 167/269 - Train Accuracy: 0.4816, Validation Accuracy: 0.5042, Loss: 1.9344 Epoch 0 Batch 168/269 - Train Accuracy: 0.4781, Validation Accuracy: 0.5061, Loss: 1.9711 Epoch 0 Batch 169/269 - Train Accuracy: 0.4710, Validation Accuracy: 0.5055, Loss: 1.9376 Epoch 0 Batch 170/269 - Train Accuracy: 0.4810, Validation Accuracy: 0.5049, Loss: 1.9275 Epoch 0 Batch 171/269 - Train Accuracy: 0.4613, Validation Accuracy: 0.5061, Loss: 1.9937 Epoch 0 Batch 172/269 - Train Accuracy: 0.4725, Validation Accuracy: 0.5044, Loss: 1.9269 Epoch 0 Batch 173/269 - Train Accuracy: 0.4841, Validation Accuracy: 0.5056, Loss: 1.9184 Epoch 0 Batch 174/269 - Train Accuracy: 0.4772, Validation Accuracy: 0.5059, Loss: 1.9011 Epoch 0 Batch 175/269 - Train Accuracy: 0.4803, Validation Accuracy: 0.5057, Loss: 1.9028 Epoch 0 Batch 176/269 - Train Accuracy: 0.4554, Validation Accuracy: 0.5078, Loss: 1.9795 Epoch 0 Batch 177/269 - Train Accuracy: 0.4978, Validation Accuracy: 0.5082, Loss: 1.8110 Epoch 0 Batch 178/269 - Train Accuracy: 0.4521, Validation Accuracy: 0.5022, Loss: 1.9472 Epoch 0 Batch 179/269 - Train Accuracy: 0.4807, Validation Accuracy: 0.5054, Loss: 1.8743 Epoch 0 Batch 180/269 - Train Accuracy: 0.4795, Validation Accuracy: 0.5079, Loss: 1.8519 Epoch 0 Batch 181/269 - Train Accuracy: 0.4735, Validation Accuracy: 0.5038, Loss: 1.8517 Epoch 0 Batch 182/269 - Train Accuracy: 0.4714, Validation Accuracy: 0.4980, Loss: 1.8445 Epoch 0 Batch 183/269 - Train Accuracy: 0.5439, Validation Accuracy: 0.5050, Loss: 1.6045 Epoch 0 Batch 184/269 - Train Accuracy: 0.4519, Validation Accuracy: 0.5032, Loss: 1.9131 Epoch 0 Batch 185/269 - Train Accuracy: 0.4784, Validation Accuracy: 0.4946, Loss: 1.7946 Epoch 0 Batch 186/269 - Train Accuracy: 0.4418, Validation Accuracy: 0.5004, Loss: 1.8988 Epoch 0 Batch 187/269 - Train Accuracy: 0.4807, Validation Accuracy: 0.5076, Loss: 1.7731 Epoch 0 Batch 188/269 - Train Accuracy: 0.4772, Validation Accuracy: 0.4932, Loss: 1.7594 Epoch 0 Batch 189/269 - Train Accuracy: 0.4789, Validation Accuracy: 0.4894, Loss: 1.7817 Epoch 0 Batch 190/269 - Train Accuracy: 0.4726, Validation Accuracy: 0.4995, Loss: 1.7856 Epoch 0 Batch 191/269 - Train Accuracy: 0.4691, Validation Accuracy: 0.4947, Loss: 1.8049 Epoch 0 Batch 192/269 - Train Accuracy: 0.4657, Validation Accuracy: 0.4936, Loss: 1.7889 Epoch 0 Batch 193/269 - Train Accuracy: 0.4679, Validation Accuracy: 0.4997, Loss: 1.7817 Epoch 0 Batch 194/269 - Train Accuracy: 0.4764, Validation Accuracy: 0.5016, Loss: 1.7762 Epoch 0 Batch 195/269 - Train Accuracy: 0.4463, Validation Accuracy: 0.4935, Loss: 1.7943 Epoch 0 Batch 196/269 - Train Accuracy: 0.4695, Validation Accuracy: 0.5046, Loss: 1.7555 Epoch 0 Batch 197/269 - Train Accuracy: 0.4510, Validation Accuracy: 0.5016, Loss: 1.8267 Epoch 0 Batch 198/269 - Train Accuracy: 0.4416, Validation Accuracy: 0.5028, Loss: 1.8514 Epoch 0 Batch 199/269 - Train Accuracy: 0.4674, Validation Accuracy: 0.5017, Loss: 1.7778 Epoch 0 Batch 200/269 - Train Accuracy: 0.4525, Validation Accuracy: 0.4963, Loss: 1.7987 Epoch 0 Batch 201/269 - Train Accuracy: 0.4713, Validation Accuracy: 0.4920, Loss: 1.7334 Epoch 0 Batch 202/269 - Train Accuracy: 0.4627, Validation Accuracy: 0.4964, Loss: 1.7393 Epoch 0 Batch 203/269 - Train Accuracy: 0.4546, Validation Accuracy: 0.5059, Loss: 1.7906 Epoch 0 Batch 204/269 - Train Accuracy: 0.4386, Validation Accuracy: 0.5001, Loss: 1.7837 Epoch 0 Batch 205/269 - Train Accuracy: 0.4622, Validation Accuracy: 0.4988, Loss: 1.7089 Epoch 0 Batch 206/269 - Train Accuracy: 0.4458, Validation Accuracy: 0.4969, Loss: 1.8048 Epoch 0 Batch 207/269 - Train Accuracy: 0.4854, Validation Accuracy: 0.4987, Loss: 1.6408 Epoch 0 Batch 208/269 - Train Accuracy: 0.4493, Validation Accuracy: 0.5012, Loss: 1.8011 Epoch 0 Batch 209/269 - Train Accuracy: 0.4514, Validation Accuracy: 0.5012, Loss: 1.7525 Epoch 0 Batch 210/269 - Train Accuracy: 0.4753, Validation Accuracy: 0.4995, Loss: 1.6736 Epoch 0 Batch 211/269 - Train Accuracy: 0.4617, Validation Accuracy: 0.4920, Loss: 1.6723 Epoch 0 Batch 212/269 - Train Accuracy: 0.4848, Validation Accuracy: 0.4926, Loss: 1.6403 Epoch 0 Batch 213/269 - Train Accuracy: 0.4710, Validation Accuracy: 0.4933, Loss: 1.6537 Epoch 0 Batch 214/269 - Train Accuracy: 0.4769, Validation Accuracy: 0.4975, Loss: 1.6544 Epoch 0 Batch 215/269 - Train Accuracy: 0.5044, Validation Accuracy: 0.5008, Loss: 1.5673 Epoch 0 Batch 216/269 - Train Accuracy: 0.4540, Validation Accuracy: 0.5098, Loss: 1.7664 Epoch 0 Batch 217/269 - Train Accuracy: 0.4437, Validation Accuracy: 0.5000, Loss: 1.7360 Epoch 0 Batch 218/269 - Train Accuracy: 0.4557, Validation Accuracy: 0.5020, Loss: 1.7402 Epoch 0 Batch 219/269 - Train Accuracy: 0.4651, Validation Accuracy: 0.5099, Loss: 1.6977 Epoch 0 Batch 220/269 - Train Accuracy: 0.4873, Validation Accuracy: 0.5036, Loss: 1.5883 Epoch 0 Batch 221/269 - Train Accuracy: 0.4807, Validation Accuracy: 0.5026, Loss: 1.6270 Epoch 0 Batch 222/269 - Train Accuracy: 0.4880, Validation Accuracy: 0.5114, Loss: 1.5873 Epoch 0 Batch 223/269 - Train Accuracy: 0.4909, Validation Accuracy: 0.5107, Loss: 1.5858 Epoch 0 Batch 224/269 - Train Accuracy: 0.4877, Validation Accuracy: 0.5091, Loss: 1.6209 Epoch 0 Batch 225/269 - Train Accuracy: 0.4697, Validation Accuracy: 0.5173, Loss: 1.6816 Epoch 0 Batch 226/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5190, Loss: 1.6094 Epoch 0 Batch 227/269 - Train Accuracy: 0.5532, Validation Accuracy: 0.5041, Loss: 1.4092 Epoch 0 Batch 228/269 - Train Accuracy: 0.4762, Validation Accuracy: 0.5044, Loss: 1.6186 Epoch 0 Batch 229/269 - Train Accuracy: 0.4874, Validation Accuracy: 0.5075, Loss: 1.5995 Epoch 0 Batch 230/269 - Train Accuracy: 0.4752, Validation Accuracy: 0.5102, Loss: 1.6093 Epoch 0 Batch 231/269 - Train Accuracy: 0.4511, Validation Accuracy: 0.5074, Loss: 1.6736 Epoch 0 Batch 232/269 - Train Accuracy: 0.4497, Validation Accuracy: 0.5153, Loss: 1.6503 Epoch 0 Batch 233/269 - Train Accuracy: 0.4920, Validation Accuracy: 0.5131, Loss: 1.5962 Epoch 0 Batch 234/269 - Train Accuracy: 0.4693, Validation Accuracy: 0.4998, Loss: 1.5909 Epoch 0 Batch 235/269 - Train Accuracy: 0.4865, Validation Accuracy: 0.5063, Loss: 1.5873 Epoch 0 Batch 236/269 - Train Accuracy: 0.4829, Validation Accuracy: 0.5138, Loss: 1.5768 Epoch 0 Batch 237/269 - Train Accuracy: 0.4703, Validation Accuracy: 0.4983, Loss: 1.5737 Epoch 0 Batch 238/269 - Train Accuracy: 0.4821, Validation Accuracy: 0.5080, Loss: 1.5841 Epoch 0 Batch 239/269 - Train Accuracy: 0.5036, Validation Accuracy: 0.5198, Loss: 1.5568 Epoch 0 Batch 240/269 - Train Accuracy: 0.5234, Validation Accuracy: 0.5187, Loss: 1.4530 Epoch 0 Batch 241/269 - Train Accuracy: 0.4871, Validation Accuracy: 0.5055, Loss: 1.5444 Epoch 0 Batch 242/269 - Train Accuracy: 0.4754, Validation Accuracy: 0.5078, Loss: 1.5449 Epoch 0 Batch 243/269 - Train Accuracy: 0.4949, Validation Accuracy: 0.5028, Loss: 1.5163 Epoch 0 Batch 244/269 - Train Accuracy: 0.4731, Validation Accuracy: 0.5044, Loss: 1.5339 Epoch 0 Batch 245/269 - Train Accuracy: 0.4757, Validation Accuracy: 0.5177, Loss: 1.6176 Epoch 0 Batch 246/269 - Train Accuracy: 0.4906, Validation Accuracy: 0.5224, Loss: 1.5399 Epoch 0 Batch 247/269 - Train Accuracy: 0.4662, Validation Accuracy: 0.5143, Loss: 1.5879 Epoch 0 Batch 248/269 - Train Accuracy: 0.4799, Validation Accuracy: 0.5177, Loss: 1.5336 Epoch 0 Batch 249/269 - Train Accuracy: 0.5236, Validation Accuracy: 0.5187, Loss: 1.4682 Epoch 0 Batch 250/269 - Train Accuracy: 0.4615, Validation Accuracy: 0.5037, Loss: 1.5743 Epoch 0 Batch 251/269 - Train Accuracy: 0.4787, Validation Accuracy: 0.4991, Loss: 1.5016 Epoch 0 Batch 252/269 - Train Accuracy: 0.4759, Validation Accuracy: 0.5089, Loss: 1.5430 Epoch 0 Batch 253/269 - Train Accuracy: 0.4688, Validation Accuracy: 0.5004, Loss: 1.5157 Epoch 0 Batch 254/269 - Train Accuracy: 0.4678, Validation Accuracy: 0.5006, Loss: 1.4929 Epoch 0 Batch 255/269 - Train Accuracy: 0.5247, Validation Accuracy: 0.5201, Loss: 1.4474 Epoch 0 Batch 256/269 - Train Accuracy: 0.4750, Validation Accuracy: 0.5207, Loss: 1.5282 Epoch 0 Batch 257/269 - Train Accuracy: 0.4726, Validation Accuracy: 0.5086, Loss: 1.5025 Epoch 0 Batch 258/269 - Train Accuracy: 0.4764, Validation Accuracy: 0.5196, Loss: 1.5079 Epoch 0 Batch 259/269 - Train Accuracy: 0.4998, Validation Accuracy: 0.5186, Loss: 1.4843 Epoch 0 Batch 260/269 - Train Accuracy: 0.4678, Validation Accuracy: 0.5131, Loss: 1.5561 Epoch 0 Batch 261/269 - Train Accuracy: 0.4491, Validation Accuracy: 0.5167, Loss: 1.5744 Epoch 0 Batch 262/269 - Train Accuracy: 0.5025, Validation Accuracy: 0.5246, Loss: 1.4893 Epoch 0 Batch 263/269 - Train Accuracy: 0.4700, Validation Accuracy: 0.5151, Loss: 1.5379 Epoch 0 Batch 264/269 - Train Accuracy: 0.4733, Validation Accuracy: 0.5154, Loss: 1.5540 Epoch 0 Batch 265/269 - Train Accuracy: 0.4671, Validation Accuracy: 0.5162, Loss: 1.5159 Epoch 0 Batch 266/269 - Train Accuracy: 0.4850, Validation Accuracy: 0.5132, Loss: 1.4385 Epoch 0 Batch 267/269 - Train Accuracy: 0.4870, Validation Accuracy: 0.5152, Loss: 1.4830 Epoch 1 Batch 1/269 - Train Accuracy: 0.4578, Validation Accuracy: 0.5124, Loss: 1.5173 Epoch 1 Batch 2/269 - Train Accuracy: 0.4770, Validation Accuracy: 0.5179, Loss: 1.4861 Epoch 1 Batch 3/269 - Train Accuracy: 0.4776, Validation Accuracy: 0.5239, Loss: 1.5178 Epoch 1 Batch 4/269 - Train Accuracy: 0.4629, Validation Accuracy: 0.5182, Loss: 1.4998 Epoch 1 Batch 5/269 - Train Accuracy: 0.4606, Validation Accuracy: 0.5154, Loss: 1.5138 Epoch 1 Batch 6/269 - Train Accuracy: 0.5093, Validation Accuracy: 0.5224, Loss: 1.3856 Epoch 1 Batch 7/269 - Train Accuracy: 0.5007, Validation Accuracy: 0.5173, Loss: 1.4242 Epoch 1 Batch 8/269 - Train Accuracy: 0.4653, Validation Accuracy: 0.5142, Loss: 1.4902 Epoch 1 Batch 9/269 - Train Accuracy: 0.4914, Validation Accuracy: 0.5274, Loss: 1.4322 Epoch 1 Batch 10/269 - Train Accuracy: 0.4769, Validation Accuracy: 0.5248, Loss: 1.4527 Epoch 1 Batch 11/269 - Train Accuracy: 0.4871, Validation Accuracy: 0.5171, Loss: 1.4371 Epoch 1 Batch 12/269 - Train Accuracy: 0.4708, Validation Accuracy: 0.5233, Loss: 1.4897 Epoch 1 Batch 13/269 - Train Accuracy: 0.5309, Validation Accuracy: 0.5229, Loss: 1.3260 Epoch 1 Batch 14/269 - Train Accuracy: 0.4819, Validation Accuracy: 0.5201, Loss: 1.4111 Epoch 1 Batch 15/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5208, Loss: 1.4087 Epoch 1 Batch 16/269 - Train Accuracy: 0.5103, Validation Accuracy: 0.5225, Loss: 1.4071 Epoch 1 Batch 17/269 - Train Accuracy: 0.4881, Validation Accuracy: 0.5168, Loss: 1.3855 Epoch 1 Batch 18/269 - Train Accuracy: 0.4731, Validation Accuracy: 0.5265, Loss: 1.4501 Epoch 1 Batch 19/269 - Train Accuracy: 0.5173, Validation Accuracy: 0.5218, Loss: 1.3269 Epoch 1 Batch 20/269 - Train Accuracy: 0.4727, Validation Accuracy: 0.5167, Loss: 1.4447 Epoch 1 Batch 21/269 - Train Accuracy: 0.4713, Validation Accuracy: 0.5188, Loss: 1.4829 Epoch 1 Batch 22/269 - Train Accuracy: 0.5033, Validation Accuracy: 0.5286, Loss: 1.3776 Epoch 1 Batch 23/269 - Train Accuracy: 0.5086, Validation Accuracy: 0.5264, Loss: 1.3966 Epoch 1 Batch 24/269 - Train Accuracy: 0.4823, Validation Accuracy: 0.5302, Loss: 1.4430 Epoch 1 Batch 25/269 - Train Accuracy: 0.4813, Validation Accuracy: 0.5289, Loss: 1.4339 Epoch 1 Batch 26/269 - Train Accuracy: 0.5320, Validation Accuracy: 0.5278, Loss: 1.2937 Epoch 1 Batch 27/269 - Train Accuracy: 0.5010, Validation Accuracy: 0.5270, Loss: 1.3879 Epoch 1 Batch 28/269 - Train Accuracy: 0.4641, Validation Accuracy: 0.5305, Loss: 1.4522 Epoch 1 Batch 29/269 - Train Accuracy: 0.4846, Validation Accuracy: 0.5266, Loss: 1.4151 Epoch 1 Batch 30/269 - Train Accuracy: 0.5170, Validation Accuracy: 0.5293, Loss: 1.3502 Epoch 1 Batch 31/269 - Train Accuracy: 0.5190, Validation Accuracy: 0.5298, Loss: 1.3540 Epoch 1 Batch 32/269 - Train Accuracy: 0.5052, Validation Accuracy: 0.5289, Loss: 1.3668 Epoch 1 Batch 33/269 - Train Accuracy: 0.5156, Validation Accuracy: 0.5265, Loss: 1.3221 Epoch 1 Batch 34/269 - Train Accuracy: 0.5068, Validation Accuracy: 0.5234, Loss: 1.3394 Epoch 1 Batch 35/269 - Train Accuracy: 0.5145, Validation Accuracy: 0.5264, Loss: 1.3366 Epoch 1 Batch 36/269 - Train Accuracy: 0.5091, Validation Accuracy: 0.5294, Loss: 1.3483 Epoch 1 Batch 37/269 - Train Accuracy: 0.5099, Validation Accuracy: 0.5272, Loss: 1.3561 Epoch 1 Batch 38/269 - Train Accuracy: 0.5026, Validation Accuracy: 0.5334, Loss: 1.3389 Epoch 1 Batch 39/269 - Train Accuracy: 0.5118, Validation Accuracy: 0.5359, Loss: 1.3292 Epoch 1 Batch 40/269 - Train Accuracy: 0.4847, Validation Accuracy: 0.5328, Loss: 1.3791 Epoch 1 Batch 41/269 - Train Accuracy: 0.5032, Validation Accuracy: 0.5368, Loss: 1.3396 Epoch 1 Batch 42/269 - Train Accuracy: 0.5240, Validation Accuracy: 0.5301, Loss: 1.2667 Epoch 1 Batch 43/269 - Train Accuracy: 0.4943, Validation Accuracy: 0.5312, Loss: 1.3673 Epoch 1 Batch 44/269 - Train Accuracy: 0.5183, Validation Accuracy: 0.5295, Loss: 1.3219 Epoch 1 Batch 45/269 - Train Accuracy: 0.4843, Validation Accuracy: 0.5310, Loss: 1.3685 Epoch 1 Batch 46/269 - Train Accuracy: 0.4847, Validation Accuracy: 0.5297, Loss: 1.3813 Epoch 1 Batch 47/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5237, Loss: 1.2289 Epoch 1 Batch 48/269 - Train Accuracy: 0.5096, Validation Accuracy: 0.5287, Loss: 1.2803 Epoch 1 Batch 49/269 - Train Accuracy: 0.4905, Validation Accuracy: 0.5281, Loss: 1.3439 Epoch 1 Batch 50/269 - Train Accuracy: 0.4937, Validation Accuracy: 0.5319, Loss: 1.3615 Epoch 1 Batch 51/269 - Train Accuracy: 0.5028, Validation Accuracy: 0.5324, Loss: 1.3248 Epoch 1 Batch 52/269 - Train Accuracy: 0.5133, Validation Accuracy: 0.5352, Loss: 1.2844 Epoch 1 Batch 53/269 - Train Accuracy: 0.4928, Validation Accuracy: 0.5340, Loss: 1.3577 Epoch 1 Batch 54/269 - Train Accuracy: 0.5051, Validation Accuracy: 0.5365, Loss: 1.3459 Epoch 1 Batch 55/269 - Train Accuracy: 0.5168, Validation Accuracy: 0.5279, Loss: 1.2844 Epoch 1 Batch 56/269 - Train Accuracy: 0.5224, Validation Accuracy: 0.5268, Loss: 1.2918 Epoch 1 Batch 57/269 - Train Accuracy: 0.5224, Validation Accuracy: 0.5327, Loss: 1.2972 Epoch 1 Batch 58/269 - Train Accuracy: 0.5199, Validation Accuracy: 0.5373, Loss: 1.2715 Epoch 1 Batch 59/269 - Train Accuracy: 0.5233, Validation Accuracy: 0.5286, Loss: 1.2571 Epoch 1 Batch 60/269 - Train Accuracy: 0.5265, Validation Accuracy: 0.5347, Loss: 1.2262 Epoch 1 Batch 61/269 - Train Accuracy: 0.5361, Validation Accuracy: 0.5281, Loss: 1.2051 Epoch 1 Batch 62/269 - Train Accuracy: 0.5272, Validation Accuracy: 0.5298, Loss: 1.2338 Epoch 1 Batch 63/269 - Train Accuracy: 0.5114, Validation Accuracy: 0.5367, Loss: 1.2770 Epoch 1 Batch 64/269 - Train Accuracy: 0.5127, Validation Accuracy: 0.5349, Loss: 1.2611 Epoch 1 Batch 65/269 - Train Accuracy: 0.5127, Validation Accuracy: 0.5249, Loss: 1.2410 Epoch 1 Batch 66/269 - Train Accuracy: 0.5204, Validation Accuracy: 0.5251, Loss: 1.2163 Epoch 1 Batch 67/269 - Train Accuracy: 0.5053, Validation Accuracy: 0.5330, Loss: 1.2713 Epoch 1 Batch 68/269 - Train Accuracy: 0.5068, Validation Accuracy: 0.5275, Loss: 1.2711 Epoch 1 Batch 69/269 - Train Accuracy: 0.4868, Validation Accuracy: 0.5239, Loss: 1.3526 Epoch 1 Batch 70/269 - Train Accuracy: 0.5206, Validation Accuracy: 0.5303, Loss: 1.2386 Epoch 1 Batch 71/269 - Train Accuracy: 0.5042, Validation Accuracy: 0.5400, Loss: 1.3001 Epoch 1 Batch 72/269 - Train Accuracy: 0.5389, Validation Accuracy: 0.5385, Loss: 1.2084 Epoch 1 Batch 73/269 - Train Accuracy: 0.5192, Validation Accuracy: 0.5384, Loss: 1.2706 Epoch 1 Batch 74/269 - Train Accuracy: 0.5048, Validation Accuracy: 0.5321, Loss: 1.2664 Epoch 1 Batch 75/269 - Train Accuracy: 0.5126, Validation Accuracy: 0.5297, Loss: 1.2339 Epoch 1 Batch 76/269 - Train Accuracy: 0.5047, Validation Accuracy: 0.5330, Loss: 1.2541 Epoch 1 Batch 77/269 - Train Accuracy: 0.5293, Validation Accuracy: 0.5373, Loss: 1.2328 Epoch 1 Batch 78/269 - Train Accuracy: 0.5172, Validation Accuracy: 0.5392, Loss: 1.2384 Epoch 1 Batch 79/269 - Train Accuracy: 0.5327, Validation Accuracy: 0.5433, Loss: 1.2188 Epoch 1 Batch 80/269 - Train Accuracy: 0.5446, Validation Accuracy: 0.5426, Loss: 1.2055 Epoch 1 Batch 81/269 - Train Accuracy: 0.5202, Validation Accuracy: 0.5396, Loss: 1.2422 Epoch 1 Batch 82/269 - Train Accuracy: 0.5255, Validation Accuracy: 0.5356, Loss: 1.1858 Epoch 1 Batch 83/269 - Train Accuracy: 0.5405, Validation Accuracy: 0.5405, Loss: 1.1962 Epoch 1 Batch 84/269 - Train Accuracy: 0.5362, Validation Accuracy: 0.5450, Loss: 1.1919 Epoch 1 Batch 85/269 - Train Accuracy: 0.5156, Validation Accuracy: 0.5373, Loss: 1.2125 Epoch 1 Batch 86/269 - Train Accuracy: 0.5019, Validation Accuracy: 0.5384, Loss: 1.2269 Epoch 1 Batch 87/269 - Train Accuracy: 0.4930, Validation Accuracy: 0.5391, Loss: 1.2869 Epoch 1 Batch 88/269 - Train Accuracy: 0.5162, Validation Accuracy: 0.5389, Loss: 1.2094 Epoch 1 Batch 89/269 - Train Accuracy: 0.5236, Validation Accuracy: 0.5407, Loss: 1.1959 Epoch 1 Batch 90/269 - Train Accuracy: 0.4823, Validation Accuracy: 0.5463, Loss: 1.2748 Epoch 1 Batch 91/269 - Train Accuracy: 0.5193, Validation Accuracy: 0.5422, Loss: 1.1914 Epoch 1 Batch 92/269 - Train Accuracy: 0.5174, Validation Accuracy: 0.5405, Loss: 1.1907 Epoch 1 Batch 93/269 - Train Accuracy: 0.5455, Validation Accuracy: 0.5389, Loss: 1.1464 Epoch 1 Batch 94/269 - Train Accuracy: 0.5210, Validation Accuracy: 0.5391, Loss: 1.2105 Epoch 1 Batch 95/269 - Train Accuracy: 0.5254, Validation Accuracy: 0.5440, Loss: 1.1873 Epoch 1 Batch 96/269 - Train Accuracy: 0.5238, Validation Accuracy: 0.5435, Loss: 1.1711 Epoch 1 Batch 97/269 - Train Accuracy: 0.5278, Validation Accuracy: 0.5484, Loss: 1.1873 Epoch 1 Batch 98/269 - Train Accuracy: 0.5403, Validation Accuracy: 0.5395, Loss: 1.1517 Epoch 1 Batch 99/269 - Train Accuracy: 0.5115, Validation Accuracy: 0.5468, Loss: 1.2289 Epoch 1 Batch 100/269 - Train Accuracy: 0.5341, Validation Accuracy: 0.5474, Loss: 1.1421 Epoch 1 Batch 101/269 - Train Accuracy: 0.5041, Validation Accuracy: 0.5434, Loss: 1.2313 Epoch 1 Batch 102/269 - Train Accuracy: 0.5322, Validation Accuracy: 0.5446, Loss: 1.1567 Epoch 1 Batch 103/269 - Train Accuracy: 0.5288, Validation Accuracy: 0.5493, Loss: 1.1628 Epoch 1 Batch 104/269 - Train Accuracy: 0.5183, Validation Accuracy: 0.5488, Loss: 1.1714 Epoch 1 Batch 105/269 - Train Accuracy: 0.5177, Validation Accuracy: 0.5410, Loss: 1.1737 Epoch 1 Batch 106/269 - Train Accuracy: 0.5115, Validation Accuracy: 0.5361, Loss: 1.1566 Epoch 1 Batch 107/269 - Train Accuracy: 0.4899, Validation Accuracy: 0.5410, Loss: 1.2103 Epoch 1 Batch 108/269 - Train Accuracy: 0.5280, Validation Accuracy: 0.5468, Loss: 1.1464 Epoch 1 Batch 109/269 - Train Accuracy: 0.5089, Validation Accuracy: 0.5400, Loss: 1.1637 Epoch 1 Batch 110/269 - Train Accuracy: 0.5281, Validation Accuracy: 0.5470, Loss: 1.1414 Epoch 1 Batch 111/269 - Train Accuracy: 0.5038, Validation Accuracy: 0.5520, Loss: 1.2321 Epoch 1 Batch 112/269 - Train Accuracy: 0.5406, Validation Accuracy: 0.5542, Loss: 1.1404 Epoch 1 Batch 113/269 - Train Accuracy: 0.5471, Validation Accuracy: 0.5484, Loss: 1.0933 Epoch 1 Batch 114/269 - Train Accuracy: 0.5290, Validation Accuracy: 0.5513, Loss: 1.1349 Epoch 1 Batch 115/269 - Train Accuracy: 0.5157, Validation Accuracy: 0.5532, Loss: 1.1670 Epoch 1 Batch 116/269 - Train Accuracy: 0.5325, Validation Accuracy: 0.5490, Loss: 1.1376 Epoch 1 Batch 117/269 - Train Accuracy: 0.5307, Validation Accuracy: 0.5476, Loss: 1.1233 Epoch 1 Batch 118/269 - Train Accuracy: 0.5481, Validation Accuracy: 0.5445, Loss: 1.0962 Epoch 1 Batch 119/269 - Train Accuracy: 0.5219, Validation Accuracy: 0.5491, Loss: 1.1848 Epoch 1 Batch 120/269 - Train Accuracy: 0.5135, Validation Accuracy: 0.5429, Loss: 1.1698 Epoch 1 Batch 121/269 - Train Accuracy: 0.5230, Validation Accuracy: 0.5437, Loss: 1.1113 Epoch 1 Batch 122/269 - Train Accuracy: 0.5407, Validation Accuracy: 0.5507, Loss: 1.1070 Epoch 1 Batch 123/269 - Train Accuracy: 0.5110, Validation Accuracy: 0.5519, Loss: 1.1692 Epoch 1 Batch 124/269 - Train Accuracy: 0.5365, Validation Accuracy: 0.5513, Loss: 1.0877 Epoch 1 Batch 125/269 - Train Accuracy: 0.5352, Validation Accuracy: 0.5500, Loss: 1.0886 Epoch 1 Batch 126/269 - Train Accuracy: 0.5379, Validation Accuracy: 0.5483, Loss: 1.0868 Epoch 1 Batch 127/269 - Train Accuracy: 0.5059, Validation Accuracy: 0.5532, Loss: 1.1649 Epoch 1 Batch 128/269 - Train Accuracy: 0.5553, Validation Accuracy: 0.5557, Loss: 1.0968 Epoch 1 Batch 129/269 - Train Accuracy: 0.5322, Validation Accuracy: 0.5566, Loss: 1.1141 Epoch 1 Batch 130/269 - Train Accuracy: 0.5118, Validation Accuracy: 0.5536, Loss: 1.1695 Epoch 1 Batch 131/269 - Train Accuracy: 0.5255, Validation Accuracy: 0.5554, Loss: 1.1379 Epoch 1 Batch 132/269 - Train Accuracy: 0.5402, Validation Accuracy: 0.5562, Loss: 1.0957 Epoch 1 Batch 133/269 - Train Accuracy: 0.5346, Validation Accuracy: 0.5562, Loss: 1.0787 Epoch 1 Batch 134/269 - Train Accuracy: 0.5075, Validation Accuracy: 0.5586, Loss: 1.1410 Epoch 1 Batch 135/269 - Train Accuracy: 0.5038, Validation Accuracy: 0.5588, Loss: 1.1655 Epoch 1 Batch 136/269 - Train Accuracy: 0.5054, Validation Accuracy: 0.5555, Loss: 1.1622 Epoch 1 Batch 137/269 - Train Accuracy: 0.5239, Validation Accuracy: 0.5510, Loss: 1.1416 Epoch 1 Batch 138/269 - Train Accuracy: 0.5265, Validation Accuracy: 0.5529, Loss: 1.1155 Epoch 1 Batch 139/269 - Train Accuracy: 0.5494, Validation Accuracy: 0.5547, Loss: 1.0586 Epoch 1 Batch 140/269 - Train Accuracy: 0.5415, Validation Accuracy: 0.5519, Loss: 1.0887 Epoch 1 Batch 141/269 - Train Accuracy: 0.5302, Validation Accuracy: 0.5517, Loss: 1.0956 Epoch 1 Batch 142/269 - Train Accuracy: 0.5418, Validation Accuracy: 0.5531, Loss: 1.0588 Epoch 1 Batch 143/269 - Train Accuracy: 0.5309, Validation Accuracy: 0.5478, Loss: 1.0717 Epoch 1 Batch 144/269 - Train Accuracy: 0.5303, Validation Accuracy: 0.5425, Loss: 1.0552 Epoch 1 Batch 145/269 - Train Accuracy: 0.5318, Validation Accuracy: 0.5489, Loss: 1.0685 Epoch 1 Batch 146/269 - Train Accuracy: 0.5253, Validation Accuracy: 0.5488, Loss: 1.0495 Epoch 1 Batch 147/269 - Train Accuracy: 0.5534, Validation Accuracy: 0.5498, Loss: 1.0186 Epoch 1 Batch 148/269 - Train Accuracy: 0.5218, Validation Accuracy: 0.5534, Loss: 1.0933 Epoch 1 Batch 149/269 - Train Accuracy: 0.5379, Validation Accuracy: 0.5515, Loss: 1.0729 Epoch 1 Batch 150/269 - Train Accuracy: 0.5388, Validation Accuracy: 0.5525, Loss: 1.0704 Epoch 1 Batch 151/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.5549, Loss: 1.0256 Epoch 1 Batch 152/269 - Train Accuracy: 0.5373, Validation Accuracy: 0.5526, Loss: 1.0552 Epoch 1 Batch 153/269 - Train Accuracy: 0.5429, Validation Accuracy: 0.5517, Loss: 1.0532 Epoch 1 Batch 154/269 - Train Accuracy: 0.5155, Validation Accuracy: 0.5524, Loss: 1.0900 Epoch 1 Batch 155/269 - Train Accuracy: 0.5643, Validation Accuracy: 0.5528, Loss: 0.9941 Epoch 1 Batch 156/269 - Train Accuracy: 0.5262, Validation Accuracy: 0.5570, Loss: 1.0889 Epoch 1 Batch 157/269 - Train Accuracy: 0.5375, Validation Accuracy: 0.5607, Loss: 1.0442 Epoch 1 Batch 158/269 - Train Accuracy: 0.5394, Validation Accuracy: 0.5615, Loss: 1.0360 Epoch 1 Batch 159/269 - Train Accuracy: 0.5390, Validation Accuracy: 0.5542, Loss: 1.0551 Epoch 1 Batch 160/269 - Train Accuracy: 0.5397, Validation Accuracy: 0.5516, Loss: 1.0474 Epoch 1 Batch 161/269 - Train Accuracy: 0.5275, Validation Accuracy: 0.5468, Loss: 1.0460 Epoch 1 Batch 162/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5475, Loss: 1.0358 Epoch 1 Batch 163/269 - Train Accuracy: 0.5454, Validation Accuracy: 0.5553, Loss: 1.0306 Epoch 1 Batch 164/269 - Train Accuracy: 0.5504, Validation Accuracy: 0.5577, Loss: 1.0326 Epoch 1 Batch 165/269 - Train Accuracy: 0.5178, Validation Accuracy: 0.5581, Loss: 1.0664 Epoch 1 Batch 166/269 - Train Accuracy: 0.5635, Validation Accuracy: 0.5561, Loss: 0.9799 Epoch 1 Batch 167/269 - Train Accuracy: 0.5469, Validation Accuracy: 0.5592, Loss: 1.0362 Epoch 1 Batch 168/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5538, Loss: 1.0477 Epoch 1 Batch 169/269 - Train Accuracy: 0.5366, Validation Accuracy: 0.5573, Loss: 1.0301 Epoch 1 Batch 170/269 - Train Accuracy: 0.5427, Validation Accuracy: 0.5570, Loss: 1.0240 Epoch 1 Batch 171/269 - Train Accuracy: 0.5340, Validation Accuracy: 0.5586, Loss: 1.0649 Epoch 1 Batch 172/269 - Train Accuracy: 0.5369, Validation Accuracy: 0.5559, Loss: 1.0308 Epoch 1 Batch 173/269 - Train Accuracy: 0.5313, Validation Accuracy: 0.5528, Loss: 1.0101 Epoch 1 Batch 174/269 - Train Accuracy: 0.5305, Validation Accuracy: 0.5528, Loss: 1.0237 Epoch 1 Batch 175/269 - Train Accuracy: 0.5312, Validation Accuracy: 0.5546, Loss: 1.0267 Epoch 1 Batch 176/269 - Train Accuracy: 0.5229, Validation Accuracy: 0.5483, Loss: 1.0613 Epoch 1 Batch 177/269 - Train Accuracy: 0.5404, Validation Accuracy: 0.5475, Loss: 0.9771 Epoch 1 Batch 178/269 - Train Accuracy: 0.5209, Validation Accuracy: 0.5493, Loss: 1.0413 Epoch 1 Batch 179/269 - Train Accuracy: 0.5328, Validation Accuracy: 0.5499, Loss: 1.0135 Epoch 1 Batch 180/269 - Train Accuracy: 0.5328, Validation Accuracy: 0.5549, Loss: 0.9946 Epoch 1 Batch 181/269 - Train Accuracy: 0.5217, Validation Accuracy: 0.5532, Loss: 1.0111 Epoch 1 Batch 182/269 - Train Accuracy: 0.5286, Validation Accuracy: 0.5532, Loss: 1.0149 Epoch 1 Batch 183/269 - Train Accuracy: 0.6023, Validation Accuracy: 0.5530, Loss: 0.8692 Epoch 1 Batch 184/269 - Train Accuracy: 0.5220, Validation Accuracy: 0.5588, Loss: 1.0455 Epoch 1 Batch 185/269 - Train Accuracy: 0.5488, Validation Accuracy: 0.5589, Loss: 0.9929 Epoch 1 Batch 186/269 - Train Accuracy: 0.5109, Validation Accuracy: 0.5597, Loss: 1.0324 Epoch 1 Batch 187/269 - Train Accuracy: 0.5428, Validation Accuracy: 0.5567, Loss: 0.9778 Epoch 1 Batch 188/269 - Train Accuracy: 0.5519, Validation Accuracy: 0.5616, Loss: 0.9666 Epoch 1 Batch 189/269 - Train Accuracy: 0.5543, Validation Accuracy: 0.5596, Loss: 0.9811 Epoch 1 Batch 190/269 - Train Accuracy: 0.5392, Validation Accuracy: 0.5602, Loss: 0.9785 Epoch 1 Batch 191/269 - Train Accuracy: 0.5395, Validation Accuracy: 0.5596, Loss: 0.9820 Epoch 1 Batch 192/269 - Train Accuracy: 0.5475, Validation Accuracy: 0.5612, Loss: 0.9957 Epoch 1 Batch 193/269 - Train Accuracy: 0.5469, Validation Accuracy: 0.5615, Loss: 0.9882 Epoch 1 Batch 194/269 - Train Accuracy: 0.5531, Validation Accuracy: 0.5608, Loss: 0.9954 Epoch 1 Batch 195/269 - Train Accuracy: 0.5245, Validation Accuracy: 0.5590, Loss: 0.9968 Epoch 1 Batch 196/269 - Train Accuracy: 0.5229, Validation Accuracy: 0.5561, Loss: 0.9753 Epoch 1 Batch 197/269 - Train Accuracy: 0.5169, Validation Accuracy: 0.5645, Loss: 1.0294 Epoch 1 Batch 198/269 - Train Accuracy: 0.5171, Validation Accuracy: 0.5661, Loss: 1.0417 Epoch 1 Batch 199/269 - Train Accuracy: 0.5436, Validation Accuracy: 0.5698, Loss: 0.9999 Epoch 1 Batch 200/269 - Train Accuracy: 0.5390, Validation Accuracy: 0.5726, Loss: 1.0068 Epoch 1 Batch 201/269 - Train Accuracy: 0.5419, Validation Accuracy: 0.5733, Loss: 0.9799 Epoch 1 Batch 202/269 - Train Accuracy: 0.5476, Validation Accuracy: 0.5699, Loss: 0.9778 Epoch 1 Batch 203/269 - Train Accuracy: 0.5246, Validation Accuracy: 0.5656, Loss: 1.0348 Epoch 1 Batch 204/269 - Train Accuracy: 0.5256, Validation Accuracy: 0.5669, Loss: 1.0091 Epoch 1 Batch 205/269 - Train Accuracy: 0.5332, Validation Accuracy: 0.5682, Loss: 0.9642 Epoch 1 Batch 206/269 - Train Accuracy: 0.5228, Validation Accuracy: 0.5699, Loss: 1.0271 Epoch 1 Batch 207/269 - Train Accuracy: 0.5755, Validation Accuracy: 0.5667, Loss: 0.9367 Epoch 1 Batch 208/269 - Train Accuracy: 0.5224, Validation Accuracy: 0.5695, Loss: 1.0268 Epoch 1 Batch 209/269 - Train Accuracy: 0.5234, Validation Accuracy: 0.5635, Loss: 0.9893 Epoch 1 Batch 210/269 - Train Accuracy: 0.5516, Validation Accuracy: 0.5614, Loss: 0.9579 Epoch 1 Batch 211/269 - Train Accuracy: 0.5438, Validation Accuracy: 0.5597, Loss: 0.9740 Epoch 1 Batch 212/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.5604, Loss: 0.9500 Epoch 1 Batch 213/269 - Train Accuracy: 0.5488, Validation Accuracy: 0.5569, Loss: 0.9502 Epoch 1 Batch 214/269 - Train Accuracy: 0.5434, Validation Accuracy: 0.5547, Loss: 0.9500 Epoch 1 Batch 215/269 - Train Accuracy: 0.5651, Validation Accuracy: 0.5644, Loss: 0.9016 Epoch 1 Batch 216/269 - Train Accuracy: 0.5217, Validation Accuracy: 0.5726, Loss: 1.0311 Epoch 1 Batch 217/269 - Train Accuracy: 0.5233, Validation Accuracy: 0.5703, Loss: 0.9948 Epoch 1 Batch 218/269 - Train Accuracy: 0.5437, Validation Accuracy: 0.5700, Loss: 0.9941 Epoch 1 Batch 219/269 - Train Accuracy: 0.5481, Validation Accuracy: 0.5691, Loss: 0.9917 Epoch 1 Batch 220/269 - Train Accuracy: 0.5585, Validation Accuracy: 0.5690, Loss: 0.9058 Epoch 1 Batch 221/269 - Train Accuracy: 0.5685, Validation Accuracy: 0.5705, Loss: 0.9390 Epoch 1 Batch 222/269 - Train Accuracy: 0.5614, Validation Accuracy: 0.5656, Loss: 0.9151 Epoch 1 Batch 223/269 - Train Accuracy: 0.5530, Validation Accuracy: 0.5583, Loss: 0.9225 Epoch 1 Batch 224/269 - Train Accuracy: 0.5605, Validation Accuracy: 0.5657, Loss: 0.9652 Epoch 1 Batch 225/269 - Train Accuracy: 0.5379, Validation Accuracy: 0.5684, Loss: 0.9761 Epoch 1 Batch 226/269 - Train Accuracy: 0.5460, Validation Accuracy: 0.5697, Loss: 0.9473 Epoch 1 Batch 227/269 - Train Accuracy: 0.6117, Validation Accuracy: 0.5684, Loss: 0.8344 Epoch 1 Batch 228/269 - Train Accuracy: 0.5552, Validation Accuracy: 0.5696, Loss: 0.9400 Epoch 1 Batch 229/269 - Train Accuracy: 0.5511, Validation Accuracy: 0.5750, Loss: 0.9330 Epoch 1 Batch 230/269 - Train Accuracy: 0.5522, Validation Accuracy: 0.5690, Loss: 0.9394 Epoch 1 Batch 231/269 - Train Accuracy: 0.5186, Validation Accuracy: 0.5616, Loss: 0.9828 Epoch 1 Batch 232/269 - Train Accuracy: 0.5157, Validation Accuracy: 0.5703, Loss: 0.9741 Epoch 1 Batch 233/269 - Train Accuracy: 0.5536, Validation Accuracy: 0.5746, Loss: 0.9463 Epoch 1 Batch 234/269 - Train Accuracy: 0.5559, Validation Accuracy: 0.5731, Loss: 0.9366 Epoch 1 Batch 235/269 - Train Accuracy: 0.5499, Validation Accuracy: 0.5729, Loss: 0.9328 Epoch 1 Batch 236/269 - Train Accuracy: 0.5446, Validation Accuracy: 0.5685, Loss: 0.9220 Epoch 1 Batch 237/269 - Train Accuracy: 0.5402, Validation Accuracy: 0.5662, Loss: 0.9221 Epoch 1 Batch 238/269 - Train Accuracy: 0.5567, Validation Accuracy: 0.5691, Loss: 0.9221 Epoch 1 Batch 239/269 - Train Accuracy: 0.5657, Validation Accuracy: 0.5697, Loss: 0.9154 Epoch 1 Batch 240/269 - Train Accuracy: 0.5859, Validation Accuracy: 0.5697, Loss: 0.8565 Epoch 1 Batch 241/269 - Train Accuracy: 0.5537, Validation Accuracy: 0.5698, Loss: 0.9349 Epoch 1 Batch 242/269 - Train Accuracy: 0.5459, Validation Accuracy: 0.5716, Loss: 0.9287 Epoch 1 Batch 243/269 - Train Accuracy: 0.5751, Validation Accuracy: 0.5735, Loss: 0.8925 Epoch 1 Batch 244/269 - Train Accuracy: 0.5518, Validation Accuracy: 0.5724, Loss: 0.9131 Epoch 1 Batch 245/269 - Train Accuracy: 0.5491, Validation Accuracy: 0.5724, Loss: 0.9721 Epoch 1 Batch 246/269 - Train Accuracy: 0.5428, Validation Accuracy: 0.5695, Loss: 0.9277 Epoch 1 Batch 247/269 - Train Accuracy: 0.5509, Validation Accuracy: 0.5766, Loss: 0.9582 Epoch 1 Batch 248/269 - Train Accuracy: 0.5625, Validation Accuracy: 0.5789, Loss: 0.9106 Epoch 1 Batch 249/269 - Train Accuracy: 0.6048, Validation Accuracy: 0.5830, Loss: 0.8715 Epoch 1 Batch 250/269 - Train Accuracy: 0.5506, Validation Accuracy: 0.5823, Loss: 0.9373 Epoch 1 Batch 251/269 - Train Accuracy: 0.5714, Validation Accuracy: 0.5771, Loss: 0.8922 Epoch 1 Batch 252/269 - Train Accuracy: 0.5552, Validation Accuracy: 0.5760, Loss: 0.9135 Epoch 1 Batch 253/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.5810, Loss: 0.9199 Epoch 1 Batch 254/269 - Train Accuracy: 0.5652, Validation Accuracy: 0.5809, Loss: 0.9017 Epoch 1 Batch 255/269 - Train Accuracy: 0.5899, Validation Accuracy: 0.5776, Loss: 0.8665 Epoch 1 Batch 256/269 - Train Accuracy: 0.5445, Validation Accuracy: 0.5771, Loss: 0.9147 Epoch 1 Batch 257/269 - Train Accuracy: 0.5497, Validation Accuracy: 0.5848, Loss: 0.9136 Epoch 1 Batch 258/269 - Train Accuracy: 0.5535, Validation Accuracy: 0.5804, Loss: 0.9047 Epoch 1 Batch 259/269 - Train Accuracy: 0.5789, Validation Accuracy: 0.5773, Loss: 0.9018 Epoch 1 Batch 260/269 - Train Accuracy: 0.5491, Validation Accuracy: 0.5781, Loss: 0.9501 Epoch 1 Batch 261/269 - Train Accuracy: 0.5256, Validation Accuracy: 0.5767, Loss: 0.9667 Epoch 1 Batch 262/269 - Train Accuracy: 0.5747, Validation Accuracy: 0.5803, Loss: 0.9134 Epoch 1 Batch 263/269 - Train Accuracy: 0.5775, Validation Accuracy: 0.5825, Loss: 0.9339 Epoch 1 Batch 264/269 - Train Accuracy: 0.5485, Validation Accuracy: 0.5894, Loss: 0.9451 Epoch 1 Batch 265/269 - Train Accuracy: 0.5539, Validation Accuracy: 0.5842, Loss: 0.9268 Epoch 1 Batch 266/269 - Train Accuracy: 0.5762, Validation Accuracy: 0.5764, Loss: 0.8808 Epoch 1 Batch 267/269 - Train Accuracy: 0.5557, Validation Accuracy: 0.5722, Loss: 0.9194 Epoch 2 Batch 1/269 - Train Accuracy: 0.5531, Validation Accuracy: 0.5802, Loss: 0.9217 Epoch 2 Batch 2/269 - Train Accuracy: 0.5552, Validation Accuracy: 0.5852, Loss: 0.9074 Epoch 2 Batch 3/269 - Train Accuracy: 0.5633, Validation Accuracy: 0.5836, Loss: 0.9206 Epoch 2 Batch 4/269 - Train Accuracy: 0.5484, Validation Accuracy: 0.5822, Loss: 0.9245 Epoch 2 Batch 5/269 - Train Accuracy: 0.5421, Validation Accuracy: 0.5808, Loss: 0.9260 Epoch 2 Batch 6/269 - Train Accuracy: 0.5725, Validation Accuracy: 0.5837, Loss: 0.8492 Epoch 2 Batch 7/269 - Train Accuracy: 0.5852, Validation Accuracy: 0.5839, Loss: 0.8746 Epoch 2 Batch 8/269 - Train Accuracy: 0.5510, Validation Accuracy: 0.5787, Loss: 0.9291 Epoch 2 Batch 9/269 - Train Accuracy: 0.5714, Validation Accuracy: 0.5819, Loss: 0.9048 Epoch 2 Batch 10/269 - Train Accuracy: 0.5542, Validation Accuracy: 0.5802, Loss: 0.9035 Epoch 2 Batch 11/269 - Train Accuracy: 0.5655, Validation Accuracy: 0.5806, Loss: 0.9052 Epoch 2 Batch 12/269 - Train Accuracy: 0.5456, Validation Accuracy: 0.5825, Loss: 0.9191 Epoch 2 Batch 13/269 - Train Accuracy: 0.5848, Validation Accuracy: 0.5678, Loss: 0.8226 Epoch 2 Batch 14/269 - Train Accuracy: 0.5470, Validation Accuracy: 0.5659, Loss: 0.8752 Epoch 2 Batch 15/269 - Train Accuracy: 0.5556, Validation Accuracy: 0.5680, Loss: 0.8702 Epoch 2 Batch 16/269 - Train Accuracy: 0.5817, Validation Accuracy: 0.5740, Loss: 0.8747 Epoch 2 Batch 17/269 - Train Accuracy: 0.5707, Validation Accuracy: 0.5788, Loss: 0.8594 Epoch 2 Batch 18/269 - Train Accuracy: 0.5543, Validation Accuracy: 0.5808, Loss: 0.9069 Epoch 2 Batch 19/269 - Train Accuracy: 0.5966, Validation Accuracy: 0.5769, Loss: 0.8292 Epoch 2 Batch 20/269 - Train Accuracy: 0.5524, Validation Accuracy: 0.5639, Loss: 0.9047 Epoch 2 Batch 21/269 - Train Accuracy: 0.5551, Validation Accuracy: 0.5677, Loss: 0.9330 Epoch 2 Batch 22/269 - Train Accuracy: 0.5675, Validation Accuracy: 0.5714, Loss: 0.8576 Epoch 2 Batch 23/269 - Train Accuracy: 0.5849, Validation Accuracy: 0.5767, Loss: 0.8717 Epoch 2 Batch 24/269 - Train Accuracy: 0.5602, Validation Accuracy: 0.5743, Loss: 0.9060 Epoch 2 Batch 25/269 - Train Accuracy: 0.5514, Validation Accuracy: 0.5693, Loss: 0.9122 Epoch 2 Batch 26/269 - Train Accuracy: 0.6055, Validation Accuracy: 0.5726, Loss: 0.8118 Epoch 2 Batch 27/269 - Train Accuracy: 0.5706, Validation Accuracy: 0.5846, Loss: 0.8667 Epoch 2 Batch 28/269 - Train Accuracy: 0.5483, Validation Accuracy: 0.5917, Loss: 0.9225 Epoch 2 Batch 29/269 - Train Accuracy: 0.5655, Validation Accuracy: 0.5909, Loss: 0.8878 Epoch 2 Batch 30/269 - Train Accuracy: 0.5786, Validation Accuracy: 0.5786, Loss: 0.8502 Epoch 2 Batch 31/269 - Train Accuracy: 0.5802, Validation Accuracy: 0.5778, Loss: 0.8504 Epoch 2 Batch 32/269 - Train Accuracy: 0.5749, Validation Accuracy: 0.5755, Loss: 0.8577 Epoch 2 Batch 33/269 - Train Accuracy: 0.5821, Validation Accuracy: 0.5758, Loss: 0.8287 Epoch 2 Batch 34/269 - Train Accuracy: 0.5768, Validation Accuracy: 0.5785, Loss: 0.8523 Epoch 2 Batch 35/269 - Train Accuracy: 0.5847, Validation Accuracy: 0.5787, Loss: 0.8637 Epoch 2 Batch 36/269 - Train Accuracy: 0.5696, Validation Accuracy: 0.5738, Loss: 0.8632 Epoch 2 Batch 37/269 - Train Accuracy: 0.5823, Validation Accuracy: 0.5771, Loss: 0.8643 Epoch 2 Batch 38/269 - Train Accuracy: 0.5812, Validation Accuracy: 0.5795, Loss: 0.8536 Epoch 2 Batch 39/269 - Train Accuracy: 0.5806, Validation Accuracy: 0.5753, Loss: 0.8498 Epoch 2 Batch 40/269 - Train Accuracy: 0.5645, Validation Accuracy: 0.5737, Loss: 0.8858 Epoch 2 Batch 41/269 - Train Accuracy: 0.5687, Validation Accuracy: 0.5708, Loss: 0.8674 Epoch 2 Batch 42/269 - Train Accuracy: 0.5897, Validation Accuracy: 0.5787, Loss: 0.8064 Epoch 2 Batch 43/269 - Train Accuracy: 0.5574, Validation Accuracy: 0.5826, Loss: 0.8846 Epoch 2 Batch 44/269 - Train Accuracy: 0.5884, Validation Accuracy: 0.5863, Loss: 0.8560 Epoch 2 Batch 45/269 - Train Accuracy: 0.5591, Validation Accuracy: 0.5854, Loss: 0.8866 Epoch 2 Batch 46/269 - Train Accuracy: 0.5604, Validation Accuracy: 0.5730, Loss: 0.8655 Epoch 2 Batch 47/269 - Train Accuracy: 0.6005, Validation Accuracy: 0.5719, Loss: 0.7930 Epoch 2 Batch 48/269 - Train Accuracy: 0.5837, Validation Accuracy: 0.5797, Loss: 0.8252 Epoch 2 Batch 49/269 - Train Accuracy: 0.5649, Validation Accuracy: 0.5862, Loss: 0.8690 Epoch 2 Batch 50/269 - Train Accuracy: 0.5613, Validation Accuracy: 0.5831, Loss: 0.8899 Epoch 2 Batch 51/269 - Train Accuracy: 0.5617, Validation Accuracy: 0.5788, Loss: 0.8612 Epoch 2 Batch 52/269 - Train Accuracy: 0.5667, Validation Accuracy: 0.5761, Loss: 0.8229 Epoch 2 Batch 53/269 - Train Accuracy: 0.5569, Validation Accuracy: 0.5748, Loss: 0.8858 Epoch 2 Batch 54/269 - Train Accuracy: 0.5827, Validation Accuracy: 0.5869, Loss: 0.8739 Epoch 2 Batch 55/269 - Train Accuracy: 0.5888, Validation Accuracy: 0.5801, Loss: 0.8366 Epoch 2 Batch 56/269 - Train Accuracy: 0.5902, Validation Accuracy: 0.5806, Loss: 0.8433 Epoch 2 Batch 57/269 - Train Accuracy: 0.5881, Validation Accuracy: 0.5798, Loss: 0.8572 Epoch 2 Batch 58/269 - Train Accuracy: 0.5849, Validation Accuracy: 0.5819, Loss: 0.8362 Epoch 2 Batch 59/269 - Train Accuracy: 0.5954, Validation Accuracy: 0.5914, Loss: 0.8074 Epoch 2 Batch 60/269 - Train Accuracy: 0.5943, Validation Accuracy: 0.5858, Loss: 0.7977 Epoch 2 Batch 61/269 - Train Accuracy: 0.5956, Validation Accuracy: 0.5788, Loss: 0.7870 Epoch 2 Batch 62/269 - Train Accuracy: 0.5912, Validation Accuracy: 0.5793, Loss: 0.8090 Epoch 2 Batch 63/269 - Train Accuracy: 0.5717, Validation Accuracy: 0.5864, Loss: 0.8465 Epoch 2 Batch 64/269 - Train Accuracy: 0.5763, Validation Accuracy: 0.5918, Loss: 0.8205 Epoch 2 Batch 65/269 - Train Accuracy: 0.5894, Validation Accuracy: 0.5904, Loss: 0.8190 Epoch 2 Batch 66/269 - Train Accuracy: 0.5929, Validation Accuracy: 0.5841, Loss: 0.8040 Epoch 2 Batch 67/269 - Train Accuracy: 0.5683, Validation Accuracy: 0.5834, Loss: 0.8380 Epoch 2 Batch 68/269 - Train Accuracy: 0.5760, Validation Accuracy: 0.5837, Loss: 0.8449 Epoch 2 Batch 69/269 - Train Accuracy: 0.5617, Validation Accuracy: 0.5970, Loss: 0.9064 Epoch 2 Batch 70/269 - Train Accuracy: 0.6110, Validation Accuracy: 0.5996, Loss: 0.8372 Epoch 2 Batch 71/269 - Train Accuracy: 0.5744, Validation Accuracy: 0.5993, Loss: 0.8639 Epoch 2 Batch 72/269 - Train Accuracy: 0.5979, Validation Accuracy: 0.5985, Loss: 0.8095 Epoch 2 Batch 73/269 - Train Accuracy: 0.5850, Validation Accuracy: 0.5902, Loss: 0.8480 Epoch 2 Batch 74/269 - Train Accuracy: 0.5760, Validation Accuracy: 0.5911, Loss: 0.8411 Epoch 2 Batch 75/269 - Train Accuracy: 0.5852, Validation Accuracy: 0.5939, Loss: 0.8214 Epoch 2 Batch 76/269 - Train Accuracy: 0.5753, Validation Accuracy: 0.5957, Loss: 0.8400 Epoch 2 Batch 77/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.5941, Loss: 0.8214 Epoch 2 Batch 78/269 - Train Accuracy: 0.5891, Validation Accuracy: 0.5986, Loss: 0.8176 Epoch 2 Batch 79/269 - Train Accuracy: 0.5962, Validation Accuracy: 0.5994, Loss: 0.8109 Epoch 2 Batch 80/269 - Train Accuracy: 0.6016, Validation Accuracy: 0.6023, Loss: 0.8139 Epoch 2 Batch 81/269 - Train Accuracy: 0.5945, Validation Accuracy: 0.6041, Loss: 0.8387 Epoch 2 Batch 82/269 - Train Accuracy: 0.6049, Validation Accuracy: 0.6059, Loss: 0.7915 Epoch 2 Batch 83/269 - Train Accuracy: 0.5938, Validation Accuracy: 0.6026, Loss: 0.8144 Epoch 2 Batch 84/269 - Train Accuracy: 0.6017, Validation Accuracy: 0.6009, Loss: 0.8025 Epoch 2 Batch 85/269 - Train Accuracy: 0.5795, Validation Accuracy: 0.5958, Loss: 0.8190 Epoch 2 Batch 86/269 - Train Accuracy: 0.5553, Validation Accuracy: 0.5961, Loss: 0.8180 Epoch 2 Batch 87/269 - Train Accuracy: 0.5614, Validation Accuracy: 0.5945, Loss: 0.8768 Epoch 2 Batch 88/269 - Train Accuracy: 0.5831, Validation Accuracy: 0.5949, Loss: 0.8195 Epoch 2 Batch 89/269 - Train Accuracy: 0.6011, Validation Accuracy: 0.5974, Loss: 0.8176 Epoch 2 Batch 90/269 - Train Accuracy: 0.5557, Validation Accuracy: 0.5981, Loss: 0.8649 Epoch 2 Batch 91/269 - Train Accuracy: 0.5994, Validation Accuracy: 0.6048, Loss: 0.7986 Epoch 2 Batch 92/269 - Train Accuracy: 0.5927, Validation Accuracy: 0.6075, Loss: 0.8003 Epoch 2 Batch 93/269 - Train Accuracy: 0.6069, Validation Accuracy: 0.6050, Loss: 0.7763 Epoch 2 Batch 94/269 - Train Accuracy: 0.5943, Validation Accuracy: 0.6042, Loss: 0.8335 Epoch 2 Batch 95/269 - Train Accuracy: 0.5884, Validation Accuracy: 0.6037, Loss: 0.8139 Epoch 2 Batch 96/269 - Train Accuracy: 0.5964, Validation Accuracy: 0.6062, Loss: 0.8065 Epoch 2 Batch 97/269 - Train Accuracy: 0.5817, Validation Accuracy: 0.6096, Loss: 0.8117 Epoch 2 Batch 98/269 - Train Accuracy: 0.6045, Validation Accuracy: 0.6095, Loss: 0.8100 Epoch 2 Batch 99/269 - Train Accuracy: 0.5841, Validation Accuracy: 0.6036, Loss: 0.8446 Epoch 2 Batch 100/269 - Train Accuracy: 0.6082, Validation Accuracy: 0.5998, Loss: 0.7986 Epoch 2 Batch 101/269 - Train Accuracy: 0.5611, Validation Accuracy: 0.6016, Loss: 0.8509 Epoch 2 Batch 102/269 - Train Accuracy: 0.5884, Validation Accuracy: 0.5973, Loss: 0.8015 Epoch 2 Batch 103/269 - Train Accuracy: 0.5878, Validation Accuracy: 0.5985, Loss: 0.8000 Epoch 2 Batch 104/269 - Train Accuracy: 0.5804, Validation Accuracy: 0.6004, Loss: 0.8022 Epoch 2 Batch 105/269 - Train Accuracy: 0.5817, Validation Accuracy: 0.5992, Loss: 0.8205 Epoch 2 Batch 106/269 - Train Accuracy: 0.5887, Validation Accuracy: 0.6024, Loss: 0.7994 Epoch 2 Batch 107/269 - Train Accuracy: 0.5641, Validation Accuracy: 0.6047, Loss: 0.8405 Epoch 2 Batch 108/269 - Train Accuracy: 0.5945, Validation Accuracy: 0.6060, Loss: 0.7863 Epoch 2 Batch 109/269 - Train Accuracy: 0.5767, Validation Accuracy: 0.6067, Loss: 0.8146 Epoch 2 Batch 110/269 - Train Accuracy: 0.5901, Validation Accuracy: 0.6054, Loss: 0.7903 Epoch 2 Batch 111/269 - Train Accuracy: 0.5676, Validation Accuracy: 0.6029, Loss: 0.8573 Epoch 2 Batch 112/269 - Train Accuracy: 0.6028, Validation Accuracy: 0.6050, Loss: 0.8003 Epoch 2 Batch 113/269 - Train Accuracy: 0.6086, Validation Accuracy: 0.6043, Loss: 0.7568 Epoch 2 Batch 114/269 - Train Accuracy: 0.5885, Validation Accuracy: 0.6054, Loss: 0.7923 Epoch 2 Batch 115/269 - Train Accuracy: 0.5864, Validation Accuracy: 0.6069, Loss: 0.8223 Epoch 2 Batch 116/269 - Train Accuracy: 0.5939, Validation Accuracy: 0.6070, Loss: 0.7979 Epoch 2 Batch 117/269 - Train Accuracy: 0.5887, Validation Accuracy: 0.6058, Loss: 0.7935 Epoch 2 Batch 118/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6037, Loss: 0.7722 Epoch 2 Batch 119/269 - Train Accuracy: 0.5745, Validation Accuracy: 0.6057, Loss: 0.8391 Epoch 2 Batch 120/269 - Train Accuracy: 0.5800, Validation Accuracy: 0.6025, Loss: 0.8216 Epoch 2 Batch 121/269 - Train Accuracy: 0.5996, Validation Accuracy: 0.6040, Loss: 0.7772 Epoch 2 Batch 122/269 - Train Accuracy: 0.5948, Validation Accuracy: 0.6039, Loss: 0.7898 Epoch 2 Batch 123/269 - Train Accuracy: 0.5734, Validation Accuracy: 0.5993, Loss: 0.8170 Epoch 2 Batch 124/269 - Train Accuracy: 0.5821, Validation Accuracy: 0.5983, Loss: 0.7693 Epoch 2 Batch 125/269 - Train Accuracy: 0.5974, Validation Accuracy: 0.6029, Loss: 0.7708 Epoch 2 Batch 126/269 - Train Accuracy: 0.5949, Validation Accuracy: 0.6041, Loss: 0.7773 Epoch 2 Batch 127/269 - Train Accuracy: 0.5912, Validation Accuracy: 0.6060, Loss: 0.8239 Epoch 2 Batch 128/269 - Train Accuracy: 0.6109, Validation Accuracy: 0.6054, Loss: 0.7907 Epoch 2 Batch 129/269 - Train Accuracy: 0.5918, Validation Accuracy: 0.6032, Loss: 0.7989 Epoch 2 Batch 130/269 - Train Accuracy: 0.5715, Validation Accuracy: 0.5990, Loss: 0.8287 Epoch 2 Batch 131/269 - Train Accuracy: 0.5855, Validation Accuracy: 0.6014, Loss: 0.8132 Epoch 2 Batch 132/269 - Train Accuracy: 0.5973, Validation Accuracy: 0.6068, Loss: 0.7945 Epoch 2 Batch 133/269 - Train Accuracy: 0.6018, Validation Accuracy: 0.6074, Loss: 0.7667 Epoch 2 Batch 134/269 - Train Accuracy: 0.5780, Validation Accuracy: 0.6040, Loss: 0.8074 Epoch 2 Batch 135/269 - Train Accuracy: 0.5700, Validation Accuracy: 0.6011, Loss: 0.8380 Epoch 2 Batch 136/269 - Train Accuracy: 0.5690, Validation Accuracy: 0.6039, Loss: 0.8320 Epoch 2 Batch 137/269 - Train Accuracy: 0.5920, Validation Accuracy: 0.6100, Loss: 0.8163 Epoch 2 Batch 138/269 - Train Accuracy: 0.5895, Validation Accuracy: 0.6086, Loss: 0.8054 Epoch 2 Batch 139/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6075, Loss: 0.7557 Epoch 2 Batch 140/269 - Train Accuracy: 0.6097, Validation Accuracy: 0.6085, Loss: 0.7962 Epoch 2 Batch 141/269 - Train Accuracy: 0.6037, Validation Accuracy: 0.6104, Loss: 0.7930 Epoch 2 Batch 142/269 - Train Accuracy: 0.6050, Validation Accuracy: 0.6109, Loss: 0.7601 Epoch 2 Batch 143/269 - Train Accuracy: 0.6032, Validation Accuracy: 0.6098, Loss: 0.7787 Epoch 2 Batch 144/269 - Train Accuracy: 0.6071, Validation Accuracy: 0.6078, Loss: 0.7473 Epoch 2 Batch 145/269 - Train Accuracy: 0.6007, Validation Accuracy: 0.6068, Loss: 0.7743 Epoch 2 Batch 146/269 - Train Accuracy: 0.6017, Validation Accuracy: 0.6085, Loss: 0.7614 Epoch 2 Batch 147/269 - Train Accuracy: 0.6225, Validation Accuracy: 0.6114, Loss: 0.7419 Epoch 2 Batch 148/269 - Train Accuracy: 0.5952, Validation Accuracy: 0.6112, Loss: 0.7892 Epoch 2 Batch 149/269 - Train Accuracy: 0.6035, Validation Accuracy: 0.6090, Loss: 0.7863 Epoch 2 Batch 150/269 - Train Accuracy: 0.5981, Validation Accuracy: 0.6069, Loss: 0.7895 Epoch 2 Batch 151/269 - Train Accuracy: 0.6236, Validation Accuracy: 0.6025, Loss: 0.7451 Epoch 2 Batch 152/269 - Train Accuracy: 0.5978, Validation Accuracy: 0.6066, Loss: 0.7756 Epoch 2 Batch 153/269 - Train Accuracy: 0.6150, Validation Accuracy: 0.6111, Loss: 0.7580 Epoch 2 Batch 154/269 - Train Accuracy: 0.5906, Validation Accuracy: 0.6096, Loss: 0.7894 Epoch 2 Batch 155/269 - Train Accuracy: 0.6273, Validation Accuracy: 0.6048, Loss: 0.7374 Epoch 2 Batch 156/269 - Train Accuracy: 0.5804, Validation Accuracy: 0.6028, Loss: 0.8014 Epoch 2 Batch 157/269 - Train Accuracy: 0.5922, Validation Accuracy: 0.6055, Loss: 0.7752 Epoch 2 Batch 158/269 - Train Accuracy: 0.6047, Validation Accuracy: 0.6097, Loss: 0.7643 Epoch 2 Batch 159/269 - Train Accuracy: 0.6043, Validation Accuracy: 0.6128, Loss: 0.7733 Epoch 2 Batch 160/269 - Train Accuracy: 0.5992, Validation Accuracy: 0.6073, Loss: 0.7685 Epoch 2 Batch 161/269 - Train Accuracy: 0.5889, Validation Accuracy: 0.6032, Loss: 0.7757 Epoch 2 Batch 162/269 - Train Accuracy: 0.6010, Validation Accuracy: 0.6053, Loss: 0.7566 Epoch 2 Batch 163/269 - Train Accuracy: 0.6097, Validation Accuracy: 0.6103, Loss: 0.7622 Epoch 2 Batch 164/269 - Train Accuracy: 0.6110, Validation Accuracy: 0.6127, Loss: 0.7626 Epoch 2 Batch 165/269 - Train Accuracy: 0.5859, Validation Accuracy: 0.6142, Loss: 0.7770 Epoch 2 Batch 166/269 - Train Accuracy: 0.6248, Validation Accuracy: 0.6143, Loss: 0.7271 Epoch 2 Batch 167/269 - Train Accuracy: 0.6007, Validation Accuracy: 0.6092, Loss: 0.7665 Epoch 2 Batch 168/269 - Train Accuracy: 0.5941, Validation Accuracy: 0.6123, Loss: 0.7750 Epoch 2 Batch 169/269 - Train Accuracy: 0.6033, Validation Accuracy: 0.6150, Loss: 0.7600 Epoch 2 Batch 170/269 - Train Accuracy: 0.6093, Validation Accuracy: 0.6177, Loss: 0.7585 Epoch 2 Batch 171/269 - Train Accuracy: 0.5987, Validation Accuracy: 0.6151, Loss: 0.7933 Epoch 2 Batch 172/269 - Train Accuracy: 0.6049, Validation Accuracy: 0.6129, Loss: 0.7692 Epoch 2 Batch 173/269 - Train Accuracy: 0.6084, Validation Accuracy: 0.6103, Loss: 0.7435 Epoch 2 Batch 174/269 - Train Accuracy: 0.5923, Validation Accuracy: 0.6107, Loss: 0.7635 Epoch 2 Batch 175/269 - Train Accuracy: 0.6073, Validation Accuracy: 0.6116, Loss: 0.7725 Epoch 2 Batch 176/269 - Train Accuracy: 0.5883, Validation Accuracy: 0.6133, Loss: 0.7936 Epoch 2 Batch 177/269 - Train Accuracy: 0.6140, Validation Accuracy: 0.6113, Loss: 0.7309 Epoch 2 Batch 178/269 - Train Accuracy: 0.5980, Validation Accuracy: 0.6113, Loss: 0.7753 Epoch 2 Batch 179/269 - Train Accuracy: 0.6084, Validation Accuracy: 0.6106, Loss: 0.7598 Epoch 2 Batch 180/269 - Train Accuracy: 0.6006, Validation Accuracy: 0.6079, Loss: 0.7510 Epoch 2 Batch 181/269 - Train Accuracy: 0.5903, Validation Accuracy: 0.6082, Loss: 0.7635 Epoch 2 Batch 182/269 - Train Accuracy: 0.6059, Validation Accuracy: 0.6119, Loss: 0.7647 Epoch 2 Batch 183/269 - Train Accuracy: 0.6626, Validation Accuracy: 0.6107, Loss: 0.6581 Epoch 2 Batch 184/269 - Train Accuracy: 0.5851, Validation Accuracy: 0.6070, Loss: 0.7832 Epoch 2 Batch 185/269 - Train Accuracy: 0.6110, Validation Accuracy: 0.6080, Loss: 0.7520 Epoch 2 Batch 186/269 - Train Accuracy: 0.5822, Validation Accuracy: 0.6133, Loss: 0.7754 Epoch 2 Batch 187/269 - Train Accuracy: 0.6068, Validation Accuracy: 0.6128, Loss: 0.7363 Epoch 2 Batch 188/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6103, Loss: 0.7232 Epoch 2 Batch 189/269 - Train Accuracy: 0.6044, Validation Accuracy: 0.6099, Loss: 0.7298 Epoch 2 Batch 190/269 - Train Accuracy: 0.6039, Validation Accuracy: 0.6130, Loss: 0.7264 Epoch 2 Batch 191/269 - Train Accuracy: 0.6199, Validation Accuracy: 0.6127, Loss: 0.7380 Epoch 2 Batch 192/269 - Train Accuracy: 0.6137, Validation Accuracy: 0.6102, Loss: 0.7491 Epoch 2 Batch 193/269 - Train Accuracy: 0.6042, Validation Accuracy: 0.6104, Loss: 0.7451 Epoch 2 Batch 194/269 - Train Accuracy: 0.6118, Validation Accuracy: 0.6104, Loss: 0.7519 Epoch 2 Batch 195/269 - Train Accuracy: 0.6015, Validation Accuracy: 0.6130, Loss: 0.7497 Epoch 2 Batch 196/269 - Train Accuracy: 0.5890, Validation Accuracy: 0.6119, Loss: 0.7429 Epoch 2 Batch 197/269 - Train Accuracy: 0.5843, Validation Accuracy: 0.6105, Loss: 0.7743 Epoch 2 Batch 198/269 - Train Accuracy: 0.5936, Validation Accuracy: 0.6113, Loss: 0.7865 Epoch 2 Batch 199/269 - Train Accuracy: 0.5954, Validation Accuracy: 0.6105, Loss: 0.7599 Epoch 2 Batch 200/269 - Train Accuracy: 0.5946, Validation Accuracy: 0.6140, Loss: 0.7655 Epoch 2 Batch 201/269 - Train Accuracy: 0.6083, Validation Accuracy: 0.6160, Loss: 0.7387 Epoch 2 Batch 202/269 - Train Accuracy: 0.6091, Validation Accuracy: 0.6192, Loss: 0.7406 Epoch 2 Batch 203/269 - Train Accuracy: 0.5795, Validation Accuracy: 0.6143, Loss: 0.7887 Epoch 2 Batch 204/269 - Train Accuracy: 0.5834, Validation Accuracy: 0.6143, Loss: 0.7741 Epoch 2 Batch 205/269 - Train Accuracy: 0.5981, Validation Accuracy: 0.6150, Loss: 0.7277 Epoch 2 Batch 206/269 - Train Accuracy: 0.5948, Validation Accuracy: 0.6159, Loss: 0.7705 Epoch 2 Batch 207/269 - Train Accuracy: 0.6346, Validation Accuracy: 0.6160, Loss: 0.7237 Epoch 2 Batch 208/269 - Train Accuracy: 0.5820, Validation Accuracy: 0.6149, Loss: 0.7778 Epoch 2 Batch 209/269 - Train Accuracy: 0.6050, Validation Accuracy: 0.6160, Loss: 0.7493 Epoch 2 Batch 210/269 - Train Accuracy: 0.6118, Validation Accuracy: 0.6154, Loss: 0.7249 Epoch 2 Batch 211/269 - Train Accuracy: 0.6113, Validation Accuracy: 0.6129, Loss: 0.7420 Epoch 2 Batch 212/269 - Train Accuracy: 0.6177, Validation Accuracy: 0.6139, Loss: 0.7241 Epoch 2 Batch 213/269 - Train Accuracy: 0.6071, Validation Accuracy: 0.6133, Loss: 0.7331 Epoch 2 Batch 214/269 - Train Accuracy: 0.6123, Validation Accuracy: 0.6146, Loss: 0.7355 Epoch 2 Batch 215/269 - Train Accuracy: 0.6338, Validation Accuracy: 0.6150, Loss: 0.6933 Epoch 2 Batch 216/269 - Train Accuracy: 0.5841, Validation Accuracy: 0.6155, Loss: 0.7942 Epoch 2 Batch 217/269 - Train Accuracy: 0.5792, Validation Accuracy: 0.6169, Loss: 0.7603 Epoch 2 Batch 218/269 - Train Accuracy: 0.5983, Validation Accuracy: 0.6156, Loss: 0.7581 Epoch 2 Batch 219/269 - Train Accuracy: 0.6092, Validation Accuracy: 0.6183, Loss: 0.7682 Epoch 2 Batch 220/269 - Train Accuracy: 0.6152, Validation Accuracy: 0.6207, Loss: 0.7005 Epoch 2 Batch 221/269 - Train Accuracy: 0.6412, Validation Accuracy: 0.6221, Loss: 0.7219 Epoch 2 Batch 222/269 - Train Accuracy: 0.6300, Validation Accuracy: 0.6214, Loss: 0.7074 Epoch 2 Batch 223/269 - Train Accuracy: 0.5994, Validation Accuracy: 0.6152, Loss: 0.7123 Epoch 2 Batch 224/269 - Train Accuracy: 0.6064, Validation Accuracy: 0.6159, Loss: 0.7515 Epoch 2 Batch 225/269 - Train Accuracy: 0.5985, Validation Accuracy: 0.6221, Loss: 0.7447 Epoch 2 Batch 226/269 - Train Accuracy: 0.6100, Validation Accuracy: 0.6239, Loss: 0.7305 Epoch 2 Batch 227/269 - Train Accuracy: 0.6700, Validation Accuracy: 0.6246, Loss: 0.6474 Epoch 2 Batch 228/269 - Train Accuracy: 0.6098, Validation Accuracy: 0.6238, Loss: 0.7266 Epoch 2 Batch 229/269 - Train Accuracy: 0.6102, Validation Accuracy: 0.6198, Loss: 0.7130 Epoch 2 Batch 230/269 - Train Accuracy: 0.5988, Validation Accuracy: 0.6191, Loss: 0.7282 Epoch 2 Batch 231/269 - Train Accuracy: 0.5862, Validation Accuracy: 0.6200, Loss: 0.7654 Epoch 2 Batch 232/269 - Train Accuracy: 0.5849, Validation Accuracy: 0.6208, Loss: 0.7543 Epoch 2 Batch 233/269 - Train Accuracy: 0.6183, Validation Accuracy: 0.6214, Loss: 0.7364 Epoch 2 Batch 234/269 - Train Accuracy: 0.6198, Validation Accuracy: 0.6233, Loss: 0.7279 Epoch 2 Batch 235/269 - Train Accuracy: 0.6151, Validation Accuracy: 0.6193, Loss: 0.7171 Epoch 2 Batch 236/269 - Train Accuracy: 0.6016, Validation Accuracy: 0.6246, Loss: 0.7122 Epoch 2 Batch 237/269 - Train Accuracy: 0.6008, Validation Accuracy: 0.6246, Loss: 0.7173 Epoch 2 Batch 238/269 - Train Accuracy: 0.6308, Validation Accuracy: 0.6230, Loss: 0.7119 Epoch 2 Batch 239/269 - Train Accuracy: 0.6216, Validation Accuracy: 0.6183, Loss: 0.7202 Epoch 2 Batch 240/269 - Train Accuracy: 0.6359, Validation Accuracy: 0.6201, Loss: 0.6579 Epoch 2 Batch 241/269 - Train Accuracy: 0.6105, Validation Accuracy: 0.6209, Loss: 0.7309 Epoch 2 Batch 242/269 - Train Accuracy: 0.6044, Validation Accuracy: 0.6222, Loss: 0.7243 Epoch 2 Batch 243/269 - Train Accuracy: 0.6390, Validation Accuracy: 0.6222, Loss: 0.6953 Epoch 2 Batch 244/269 - Train Accuracy: 0.6074, Validation Accuracy: 0.6225, Loss: 0.7138 Epoch 2 Batch 245/269 - Train Accuracy: 0.6068, Validation Accuracy: 0.6226, Loss: 0.7621 Epoch 2 Batch 246/269 - Train Accuracy: 0.5983, Validation Accuracy: 0.6219, Loss: 0.7247 Epoch 2 Batch 247/269 - Train Accuracy: 0.6030, Validation Accuracy: 0.6206, Loss: 0.7430 Epoch 2 Batch 248/269 - Train Accuracy: 0.6131, Validation Accuracy: 0.6224, Loss: 0.7148 Epoch 2 Batch 249/269 - Train Accuracy: 0.6401, Validation Accuracy: 0.6206, Loss: 0.6800 Epoch 2 Batch 250/269 - Train Accuracy: 0.5994, Validation Accuracy: 0.6173, Loss: 0.7321 Epoch 2 Batch 251/269 - Train Accuracy: 0.6287, Validation Accuracy: 0.6167, Loss: 0.7013 Epoch 2 Batch 252/269 - Train Accuracy: 0.6241, Validation Accuracy: 0.6174, Loss: 0.7181 Epoch 2 Batch 253/269 - Train Accuracy: 0.6045, Validation Accuracy: 0.6191, Loss: 0.7235 Epoch 2 Batch 254/269 - Train Accuracy: 0.6098, Validation Accuracy: 0.6172, Loss: 0.7114 Epoch 2 Batch 255/269 - Train Accuracy: 0.6333, Validation Accuracy: 0.6127, Loss: 0.6829 Epoch 2 Batch 256/269 - Train Accuracy: 0.6000, Validation Accuracy: 0.6191, Loss: 0.7250 Epoch 2 Batch 257/269 - Train Accuracy: 0.5905, Validation Accuracy: 0.6203, Loss: 0.7237 Epoch 2 Batch 258/269 - Train Accuracy: 0.6093, Validation Accuracy: 0.6176, Loss: 0.7172 Epoch 2 Batch 259/269 - Train Accuracy: 0.6204, Validation Accuracy: 0.6135, Loss: 0.7058 Epoch 2 Batch 260/269 - Train Accuracy: 0.5897, Validation Accuracy: 0.6126, Loss: 0.7509 Epoch 2 Batch 261/269 - Train Accuracy: 0.5839, Validation Accuracy: 0.6188, Loss: 0.7628 Epoch 2 Batch 262/269 - Train Accuracy: 0.6203, Validation Accuracy: 0.6216, Loss: 0.7149 Epoch 2 Batch 263/269 - Train Accuracy: 0.6106, Validation Accuracy: 0.6174, Loss: 0.7344 Epoch 2 Batch 264/269 - Train Accuracy: 0.5856, Validation Accuracy: 0.6166, Loss: 0.7404 Epoch 2 Batch 265/269 - Train Accuracy: 0.5897, Validation Accuracy: 0.6159, Loss: 0.7318 Epoch 2 Batch 266/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6226, Loss: 0.7009 Epoch 2 Batch 267/269 - Train Accuracy: 0.6121, Validation Accuracy: 0.6225, Loss: 0.7194 Epoch 3 Batch 1/269 - Train Accuracy: 0.5923, Validation Accuracy: 0.6184, Loss: 0.7258 Epoch 3 Batch 2/269 - Train Accuracy: 0.5911, Validation Accuracy: 0.6189, Loss: 0.7145 Epoch 3 Batch 3/269 - Train Accuracy: 0.6160, Validation Accuracy: 0.6181, Loss: 0.7225 Epoch 3 Batch 4/269 - Train Accuracy: 0.5880, Validation Accuracy: 0.6210, Loss: 0.7392 Epoch 3 Batch 5/269 - Train Accuracy: 0.5914, Validation Accuracy: 0.6181, Loss: 0.7328 Epoch 3 Batch 6/269 - Train Accuracy: 0.6144, Validation Accuracy: 0.6143, Loss: 0.6755 Epoch 3 Batch 7/269 - Train Accuracy: 0.6189, Validation Accuracy: 0.6148, Loss: 0.6884 Epoch 3 Batch 8/269 - Train Accuracy: 0.5937, Validation Accuracy: 0.6190, Loss: 0.7413 Epoch 3 Batch 9/269 - Train Accuracy: 0.6071, Validation Accuracy: 0.6203, Loss: 0.7122 Epoch 3 Batch 10/269 - Train Accuracy: 0.6060, Validation Accuracy: 0.6195, Loss: 0.7235 Epoch 3 Batch 11/269 - Train Accuracy: 0.6017, Validation Accuracy: 0.6153, Loss: 0.7173 Epoch 3 Batch 12/269 - Train Accuracy: 0.5922, Validation Accuracy: 0.6183, Loss: 0.7321 Epoch 3 Batch 13/269 - Train Accuracy: 0.6342, Validation Accuracy: 0.6201, Loss: 0.6568 Epoch 3 Batch 14/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6206, Loss: 0.6941 Epoch 3 Batch 15/269 - Train Accuracy: 0.6061, Validation Accuracy: 0.6215, Loss: 0.6872 Epoch 3 Batch 16/269 - Train Accuracy: 0.6226, Validation Accuracy: 0.6167, Loss: 0.7003 Epoch 3 Batch 17/269 - Train Accuracy: 0.6186, Validation Accuracy: 0.6190, Loss: 0.6906 Epoch 3 Batch 18/269 - Train Accuracy: 0.5855, Validation Accuracy: 0.6214, Loss: 0.7194 Epoch 3 Batch 19/269 - Train Accuracy: 0.6402, Validation Accuracy: 0.6212, Loss: 0.6535 Epoch 3 Batch 20/269 - Train Accuracy: 0.6035, Validation Accuracy: 0.6216, Loss: 0.7217 Epoch 3 Batch 21/269 - Train Accuracy: 0.6032, Validation Accuracy: 0.6213, Loss: 0.7371 Epoch 3 Batch 22/269 - Train Accuracy: 0.6173, Validation Accuracy: 0.6240, Loss: 0.6765 Epoch 3 Batch 23/269 - Train Accuracy: 0.6201, Validation Accuracy: 0.6223, Loss: 0.6919 Epoch 3 Batch 24/269 - Train Accuracy: 0.6085, Validation Accuracy: 0.6230, Loss: 0.7253 Epoch 3 Batch 25/269 - Train Accuracy: 0.6008, Validation Accuracy: 0.6250, Loss: 0.7306 Epoch 3 Batch 26/269 - Train Accuracy: 0.6365, Validation Accuracy: 0.6198, Loss: 0.6478 Epoch 3 Batch 27/269 - Train Accuracy: 0.6062, Validation Accuracy: 0.6228, Loss: 0.6930 Epoch 3 Batch 28/269 - Train Accuracy: 0.5747, Validation Accuracy: 0.6207, Loss: 0.7444 Epoch 3 Batch 29/269 - Train Accuracy: 0.6054, Validation Accuracy: 0.6194, Loss: 0.7189 Epoch 3 Batch 30/269 - Train Accuracy: 0.6177, Validation Accuracy: 0.6242, Loss: 0.6792 Epoch 3 Batch 31/269 - Train Accuracy: 0.6307, Validation Accuracy: 0.6254, Loss: 0.6715 Epoch 3 Batch 32/269 - Train Accuracy: 0.6077, Validation Accuracy: 0.6233, Loss: 0.6871 Epoch 3 Batch 33/269 - Train Accuracy: 0.6317, Validation Accuracy: 0.6226, Loss: 0.6676 Epoch 3 Batch 34/269 - Train Accuracy: 0.6206, Validation Accuracy: 0.6222, Loss: 0.6837 Epoch 3 Batch 35/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6212, Loss: 0.6945 Epoch 3 Batch 36/269 - Train Accuracy: 0.6178, Validation Accuracy: 0.6237, Loss: 0.6853 Epoch 3 Batch 37/269 - Train Accuracy: 0.6306, Validation Accuracy: 0.6238, Loss: 0.6810 Epoch 3 Batch 38/269 - Train Accuracy: 0.6178, Validation Accuracy: 0.6272, Loss: 0.6869 Epoch 3 Batch 39/269 - Train Accuracy: 0.6184, Validation Accuracy: 0.6239, Loss: 0.6728 Epoch 3 Batch 40/269 - Train Accuracy: 0.6095, Validation Accuracy: 0.6230, Loss: 0.7140 Epoch 3 Batch 41/269 - Train Accuracy: 0.6151, Validation Accuracy: 0.6246, Loss: 0.6955 Epoch 3 Batch 42/269 - Train Accuracy: 0.6439, Validation Accuracy: 0.6254, Loss: 0.6549 Epoch 3 Batch 43/269 - Train Accuracy: 0.6122, Validation Accuracy: 0.6276, Loss: 0.7089 Epoch 3 Batch 44/269 - Train Accuracy: 0.6313, Validation Accuracy: 0.6270, Loss: 0.6892 Epoch 3 Batch 45/269 - Train Accuracy: 0.5957, Validation Accuracy: 0.6242, Loss: 0.7144 Epoch 3 Batch 46/269 - Train Accuracy: 0.6210, Validation Accuracy: 0.6256, Loss: 0.7014 Epoch 3 Batch 47/269 - Train Accuracy: 0.6508, Validation Accuracy: 0.6232, Loss: 0.6323 Epoch 3 Batch 48/269 - Train Accuracy: 0.6207, Validation Accuracy: 0.6230, Loss: 0.6654 Epoch 3 Batch 49/269 - Train Accuracy: 0.5883, Validation Accuracy: 0.6270, Loss: 0.7032 Epoch 3 Batch 50/269 - Train Accuracy: 0.6048, Validation Accuracy: 0.6271, Loss: 0.7111 Epoch 3 Batch 51/269 - Train Accuracy: 0.6119, Validation Accuracy: 0.6260, Loss: 0.6890 Epoch 3 Batch 52/269 - Train Accuracy: 0.6035, Validation Accuracy: 0.6273, Loss: 0.6585 Epoch 3 Batch 53/269 - Train Accuracy: 0.6065, Validation Accuracy: 0.6254, Loss: 0.7178 Epoch 3 Batch 54/269 - Train Accuracy: 0.6124, Validation Accuracy: 0.6274, Loss: 0.7028 Epoch 3 Batch 55/269 - Train Accuracy: 0.6307, Validation Accuracy: 0.6277, Loss: 0.6736 Epoch 3 Batch 56/269 - Train Accuracy: 0.6310, Validation Accuracy: 0.6293, Loss: 0.6821 Epoch 3 Batch 57/269 - Train Accuracy: 0.6222, Validation Accuracy: 0.6331, Loss: 0.6959 Epoch 3 Batch 58/269 - Train Accuracy: 0.6323, Validation Accuracy: 0.6252, Loss: 0.6661 Epoch 3 Batch 59/269 - Train Accuracy: 0.6316, Validation Accuracy: 0.6240, Loss: 0.6527 Epoch 3 Batch 60/269 - Train Accuracy: 0.6250, Validation Accuracy: 0.6241, Loss: 0.6429 Epoch 3 Batch 61/269 - Train Accuracy: 0.6315, Validation Accuracy: 0.6293, Loss: 0.6401 Epoch 3 Batch 62/269 - Train Accuracy: 0.6362, Validation Accuracy: 0.6296, Loss: 0.6559 Epoch 3 Batch 63/269 - Train Accuracy: 0.6147, Validation Accuracy: 0.6278, Loss: 0.6861 Epoch 3 Batch 64/269 - Train Accuracy: 0.6111, Validation Accuracy: 0.6276, Loss: 0.6584 Epoch 3 Batch 65/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6322, Loss: 0.6632 Epoch 3 Batch 66/269 - Train Accuracy: 0.6278, Validation Accuracy: 0.6294, Loss: 0.6524 Epoch 3 Batch 67/269 - Train Accuracy: 0.6207, Validation Accuracy: 0.6261, Loss: 0.6810 Epoch 3 Batch 68/269 - Train Accuracy: 0.6026, Validation Accuracy: 0.6244, Loss: 0.6768 Epoch 3 Batch 69/269 - Train Accuracy: 0.5936, Validation Accuracy: 0.6269, Loss: 0.7365 Epoch 3 Batch 70/269 - Train Accuracy: 0.6322, Validation Accuracy: 0.6244, Loss: 0.6782 Epoch 3 Batch 71/269 - Train Accuracy: 0.6055, Validation Accuracy: 0.6199, Loss: 0.7047 Epoch 3 Batch 72/269 - Train Accuracy: 0.6234, Validation Accuracy: 0.6207, Loss: 0.6622 Epoch 3 Batch 73/269 - Train Accuracy: 0.6290, Validation Accuracy: 0.6238, Loss: 0.6821 Epoch 3 Batch 74/269 - Train Accuracy: 0.6207, Validation Accuracy: 0.6215, Loss: 0.6784 Epoch 3 Batch 75/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6204, Loss: 0.6628 Epoch 3 Batch 76/269 - Train Accuracy: 0.6031, Validation Accuracy: 0.6195, Loss: 0.6841 Epoch 3 Batch 77/269 - Train Accuracy: 0.6385, Validation Accuracy: 0.6244, Loss: 0.6545 Epoch 3 Batch 78/269 - Train Accuracy: 0.6240, Validation Accuracy: 0.6279, Loss: 0.6655 Epoch 3 Batch 79/269 - Train Accuracy: 0.6206, Validation Accuracy: 0.6263, Loss: 0.6584 Epoch 3 Batch 80/269 - Train Accuracy: 0.6373, Validation Accuracy: 0.6278, Loss: 0.6632 Epoch 3 Batch 81/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6308, Loss: 0.6847 Epoch 3 Batch 82/269 - Train Accuracy: 0.6324, Validation Accuracy: 0.6307, Loss: 0.6418 Epoch 3 Batch 83/269 - Train Accuracy: 0.6258, Validation Accuracy: 0.6357, Loss: 0.6695 Epoch 3 Batch 84/269 - Train Accuracy: 0.6392, Validation Accuracy: 0.6309, Loss: 0.6537 Epoch 3 Batch 85/269 - Train Accuracy: 0.6189, Validation Accuracy: 0.6323, Loss: 0.6609 Epoch 3 Batch 86/269 - Train Accuracy: 0.6079, Validation Accuracy: 0.6315, Loss: 0.6539 Epoch 3 Batch 87/269 - Train Accuracy: 0.6043, Validation Accuracy: 0.6353, Loss: 0.7009 Epoch 3 Batch 88/269 - Train Accuracy: 0.6300, Validation Accuracy: 0.6330, Loss: 0.6620 Epoch 3 Batch 89/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6283, Loss: 0.6672 Epoch 3 Batch 90/269 - Train Accuracy: 0.5932, Validation Accuracy: 0.6265, Loss: 0.7035 Epoch 3 Batch 91/269 - Train Accuracy: 0.6257, Validation Accuracy: 0.6286, Loss: 0.6383 Epoch 3 Batch 92/269 - Train Accuracy: 0.6285, Validation Accuracy: 0.6262, Loss: 0.6507 Epoch 3 Batch 93/269 - Train Accuracy: 0.6345, Validation Accuracy: 0.6304, Loss: 0.6324 Epoch 3 Batch 94/269 - Train Accuracy: 0.6129, Validation Accuracy: 0.6265, Loss: 0.6698 Epoch 3 Batch 95/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6314, Loss: 0.6631 Epoch 3 Batch 96/269 - Train Accuracy: 0.6185, Validation Accuracy: 0.6308, Loss: 0.6594 Epoch 3 Batch 97/269 - Train Accuracy: 0.6375, Validation Accuracy: 0.6254, Loss: 0.6508 Epoch 3 Batch 98/269 - Train Accuracy: 0.6323, Validation Accuracy: 0.6290, Loss: 0.6552 Epoch 3 Batch 99/269 - Train Accuracy: 0.6088, Validation Accuracy: 0.6295, Loss: 0.6787 Epoch 3 Batch 100/269 - Train Accuracy: 0.6468, Validation Accuracy: 0.6235, Loss: 0.6496 Epoch 3 Batch 101/269 - Train Accuracy: 0.6006, Validation Accuracy: 0.6332, Loss: 0.6954 Epoch 3 Batch 102/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6393, Loss: 0.6575 Epoch 3 Batch 103/269 - Train Accuracy: 0.6234, Validation Accuracy: 0.6376, Loss: 0.6539 Epoch 3 Batch 104/269 - Train Accuracy: 0.6203, Validation Accuracy: 0.6321, Loss: 0.6509 Epoch 3 Batch 105/269 - Train Accuracy: 0.6244, Validation Accuracy: 0.6341, Loss: 0.6648 Epoch 3 Batch 106/269 - Train Accuracy: 0.6333, Validation Accuracy: 0.6406, Loss: 0.6496 Epoch 3 Batch 107/269 - Train Accuracy: 0.5965, Validation Accuracy: 0.6334, Loss: 0.6898 Epoch 3 Batch 108/269 - Train Accuracy: 0.6259, Validation Accuracy: 0.6243, Loss: 0.6516 Epoch 3 Batch 109/269 - Train Accuracy: 0.6099, Validation Accuracy: 0.6316, Loss: 0.6573 Epoch 3 Batch 110/269 - Train Accuracy: 0.6205, Validation Accuracy: 0.6306, Loss: 0.6407 Epoch 3 Batch 111/269 - Train Accuracy: 0.5906, Validation Accuracy: 0.6278, Loss: 0.7011 Epoch 3 Batch 112/269 - Train Accuracy: 0.6296, Validation Accuracy: 0.6329, Loss: 0.6506 Epoch 3 Batch 113/269 - Train Accuracy: 0.6232, Validation Accuracy: 0.6308, Loss: 0.6273 Epoch 3 Batch 114/269 - Train Accuracy: 0.6200, Validation Accuracy: 0.6277, Loss: 0.6468 Epoch 3 Batch 115/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6283, Loss: 0.6805 Epoch 3 Batch 116/269 - Train Accuracy: 0.6148, Validation Accuracy: 0.6281, Loss: 0.6607 Epoch 3 Batch 117/269 - Train Accuracy: 0.6015, Validation Accuracy: 0.6206, Loss: 0.6478 Epoch 3 Batch 118/269 - Train Accuracy: 0.6434, Validation Accuracy: 0.6308, Loss: 0.6276 Epoch 3 Batch 119/269 - Train Accuracy: 0.6074, Validation Accuracy: 0.6335, Loss: 0.6842 Epoch 3 Batch 120/269 - Train Accuracy: 0.6158, Validation Accuracy: 0.6326, Loss: 0.6709 Epoch 3 Batch 121/269 - Train Accuracy: 0.6123, Validation Accuracy: 0.6344, Loss: 0.6321 Epoch 3 Batch 122/269 - Train Accuracy: 0.6299, Validation Accuracy: 0.6373, Loss: 0.6328 Epoch 3 Batch 123/269 - Train Accuracy: 0.6146, Validation Accuracy: 0.6337, Loss: 0.6680 Epoch 3 Batch 124/269 - Train Accuracy: 0.6189, Validation Accuracy: 0.6369, Loss: 0.6314 Epoch 3 Batch 125/269 - Train Accuracy: 0.6371, Validation Accuracy: 0.6404, Loss: 0.6325 Epoch 3 Batch 126/269 - Train Accuracy: 0.6283, Validation Accuracy: 0.6290, Loss: 0.6325 Epoch 3 Batch 127/269 - Train Accuracy: 0.6234, Validation Accuracy: 0.6285, Loss: 0.6696 Epoch 3 Batch 128/269 - Train Accuracy: 0.6423, Validation Accuracy: 0.6427, Loss: 0.6490 Epoch 3 Batch 129/269 - Train Accuracy: 0.6209, Validation Accuracy: 0.6386, Loss: 0.6460 Epoch 3 Batch 130/269 - Train Accuracy: 0.6091, Validation Accuracy: 0.6373, Loss: 0.6732 Epoch 3 Batch 131/269 - Train Accuracy: 0.6176, Validation Accuracy: 0.6312, Loss: 0.6590 Epoch 3 Batch 132/269 - Train Accuracy: 0.6220, Validation Accuracy: 0.6348, Loss: 0.6557 Epoch 3 Batch 133/269 - Train Accuracy: 0.6316, Validation Accuracy: 0.6311, Loss: 0.6272 Epoch 3 Batch 134/269 - Train Accuracy: 0.6072, Validation Accuracy: 0.6306, Loss: 0.6577 Epoch 3 Batch 135/269 - Train Accuracy: 0.5987, Validation Accuracy: 0.6325, Loss: 0.6828 Epoch 3 Batch 136/269 - Train Accuracy: 0.6040, Validation Accuracy: 0.6308, Loss: 0.6812 Epoch 3 Batch 137/269 - Train Accuracy: 0.6195, Validation Accuracy: 0.6334, Loss: 0.6701 Epoch 3 Batch 138/269 - Train Accuracy: 0.6147, Validation Accuracy: 0.6283, Loss: 0.6672 Epoch 3 Batch 139/269 - Train Accuracy: 0.6344, Validation Accuracy: 0.6278, Loss: 0.6334 Epoch 3 Batch 140/269 - Train Accuracy: 0.6311, Validation Accuracy: 0.6391, Loss: 0.6574 Epoch 3 Batch 141/269 - Train Accuracy: 0.6217, Validation Accuracy: 0.6288, Loss: 0.6574 Epoch 3 Batch 142/269 - Train Accuracy: 0.6258, Validation Accuracy: 0.6355, Loss: 0.6306 Epoch 3 Batch 143/269 - Train Accuracy: 0.6311, Validation Accuracy: 0.6356, Loss: 0.6363 Epoch 3 Batch 144/269 - Train Accuracy: 0.6354, Validation Accuracy: 0.6328, Loss: 0.6162 Epoch 3 Batch 145/269 - Train Accuracy: 0.6360, Validation Accuracy: 0.6331, Loss: 0.6341 Epoch 3 Batch 146/269 - Train Accuracy: 0.6344, Validation Accuracy: 0.6404, Loss: 0.6242 Epoch 3 Batch 147/269 - Train Accuracy: 0.6526, Validation Accuracy: 0.6454, Loss: 0.6053 Epoch 3 Batch 148/269 - Train Accuracy: 0.6232, Validation Accuracy: 0.6428, Loss: 0.6475 Epoch 3 Batch 149/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6353, Loss: 0.6464 Epoch 3 Batch 150/269 - Train Accuracy: 0.6322, Validation Accuracy: 0.6372, Loss: 0.6441 Epoch 3 Batch 151/269 - Train Accuracy: 0.6486, Validation Accuracy: 0.6369, Loss: 0.6166 Epoch 3 Batch 152/269 - Train Accuracy: 0.6391, Validation Accuracy: 0.6310, Loss: 0.6350 Epoch 3 Batch 153/269 - Train Accuracy: 0.6271, Validation Accuracy: 0.6372, Loss: 0.6216 Epoch 3 Batch 154/269 - Train Accuracy: 0.6209, Validation Accuracy: 0.6342, Loss: 0.6423 Epoch 3 Batch 155/269 - Train Accuracy: 0.6523, Validation Accuracy: 0.6395, Loss: 0.5998 Epoch 3 Batch 156/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6358, Loss: 0.6588 Epoch 3 Batch 157/269 - Train Accuracy: 0.6235, Validation Accuracy: 0.6420, Loss: 0.6283 Epoch 3 Batch 158/269 - Train Accuracy: 0.6115, Validation Accuracy: 0.6395, Loss: 0.6283 Epoch 3 Batch 159/269 - Train Accuracy: 0.6246, Validation Accuracy: 0.6394, Loss: 0.6334 Epoch 3 Batch 160/269 - Train Accuracy: 0.6239, Validation Accuracy: 0.6429, Loss: 0.6284 Epoch 3 Batch 161/269 - Train Accuracy: 0.6213, Validation Accuracy: 0.6356, Loss: 0.6297 Epoch 3 Batch 162/269 - Train Accuracy: 0.6463, Validation Accuracy: 0.6364, Loss: 0.6242 Epoch 3 Batch 163/269 - Train Accuracy: 0.6408, Validation Accuracy: 0.6375, Loss: 0.6132 Epoch 3 Batch 164/269 - Train Accuracy: 0.6441, Validation Accuracy: 0.6431, Loss: 0.6200 Epoch 3 Batch 165/269 - Train Accuracy: 0.6086, Validation Accuracy: 0.6383, Loss: 0.6400 Epoch 3 Batch 166/269 - Train Accuracy: 0.6442, Validation Accuracy: 0.6400, Loss: 0.5935 Epoch 3 Batch 167/269 - Train Accuracy: 0.6312, Validation Accuracy: 0.6436, Loss: 0.6256 Epoch 3 Batch 168/269 - Train Accuracy: 0.6219, Validation Accuracy: 0.6429, Loss: 0.6283 Epoch 3 Batch 169/269 - Train Accuracy: 0.6336, Validation Accuracy: 0.6427, Loss: 0.6283 Epoch 3 Batch 170/269 - Train Accuracy: 0.6326, Validation Accuracy: 0.6397, Loss: 0.6114 Epoch 3 Batch 171/269 - Train Accuracy: 0.6447, Validation Accuracy: 0.6409, Loss: 0.6484 Epoch 3 Batch 172/269 - Train Accuracy: 0.6187, Validation Accuracy: 0.6413, Loss: 0.6312 Epoch 3 Batch 173/269 - Train Accuracy: 0.6414, Validation Accuracy: 0.6415, Loss: 0.6124 Epoch 3 Batch 174/269 - Train Accuracy: 0.6284, Validation Accuracy: 0.6381, Loss: 0.6198 Epoch 3 Batch 175/269 - Train Accuracy: 0.6248, Validation Accuracy: 0.6406, Loss: 0.6319 Epoch 3 Batch 176/269 - Train Accuracy: 0.6297, Validation Accuracy: 0.6452, Loss: 0.6644 Epoch 3 Batch 177/269 - Train Accuracy: 0.6435, Validation Accuracy: 0.6439, Loss: 0.5957 Epoch 3 Batch 178/269 - Train Accuracy: 0.6186, Validation Accuracy: 0.6403, Loss: 0.6350 Epoch 3 Batch 179/269 - Train Accuracy: 0.6218, Validation Accuracy: 0.6390, Loss: 0.6250 Epoch 3 Batch 180/269 - Train Accuracy: 0.6350, Validation Accuracy: 0.6356, Loss: 0.6074 Epoch 3 Batch 181/269 - Train Accuracy: 0.6203, Validation Accuracy: 0.6357, Loss: 0.6278 Epoch 3 Batch 182/269 - Train Accuracy: 0.6407, Validation Accuracy: 0.6345, Loss: 0.6184 Epoch 3 Batch 183/269 - Train Accuracy: 0.6880, Validation Accuracy: 0.6366, Loss: 0.5311 Epoch 3 Batch 184/269 - Train Accuracy: 0.6112, Validation Accuracy: 0.6381, Loss: 0.6410 Epoch 3 Batch 185/269 - Train Accuracy: 0.6416, Validation Accuracy: 0.6405, Loss: 0.6113 Epoch 3 Batch 186/269 - Train Accuracy: 0.6135, Validation Accuracy: 0.6367, Loss: 0.6387 Epoch 3 Batch 187/269 - Train Accuracy: 0.6374, Validation Accuracy: 0.6396, Loss: 0.6036 Epoch 3 Batch 188/269 - Train Accuracy: 0.6393, Validation Accuracy: 0.6403, Loss: 0.5998 Epoch 3 Batch 189/269 - Train Accuracy: 0.6401, Validation Accuracy: 0.6405, Loss: 0.5980 Epoch 3 Batch 190/269 - Train Accuracy: 0.6388, Validation Accuracy: 0.6400, Loss: 0.6013 Epoch 3 Batch 191/269 - Train Accuracy: 0.6542, Validation Accuracy: 0.6419, Loss: 0.6041 Epoch 3 Batch 192/269 - Train Accuracy: 0.6422, Validation Accuracy: 0.6373, Loss: 0.6133 Epoch 3 Batch 193/269 - Train Accuracy: 0.6475, Validation Accuracy: 0.6398, Loss: 0.6053 Epoch 3 Batch 194/269 - Train Accuracy: 0.6348, Validation Accuracy: 0.6398, Loss: 0.6140 Epoch 3 Batch 195/269 - Train Accuracy: 0.6389, Validation Accuracy: 0.6411, Loss: 0.6117 Epoch 3 Batch 196/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6389, Loss: 0.6122 Epoch 3 Batch 197/269 - Train Accuracy: 0.6127, Validation Accuracy: 0.6363, Loss: 0.6431 Epoch 3 Batch 198/269 - Train Accuracy: 0.6148, Validation Accuracy: 0.6371, Loss: 0.6461 Epoch 3 Batch 199/269 - Train Accuracy: 0.6421, Validation Accuracy: 0.6388, Loss: 0.6331 Epoch 3 Batch 200/269 - Train Accuracy: 0.6292, Validation Accuracy: 0.6396, Loss: 0.6238 Epoch 3 Batch 201/269 - Train Accuracy: 0.6409, Validation Accuracy: 0.6460, Loss: 0.6133 Epoch 3 Batch 202/269 - Train Accuracy: 0.6382, Validation Accuracy: 0.6440, Loss: 0.6125 Epoch 3 Batch 203/269 - Train Accuracy: 0.6187, Validation Accuracy: 0.6405, Loss: 0.6505 Epoch 3 Batch 204/269 - Train Accuracy: 0.6340, Validation Accuracy: 0.6404, Loss: 0.6502 Epoch 3 Batch 205/269 - Train Accuracy: 0.6489, Validation Accuracy: 0.6347, Loss: 0.6003 Epoch 3 Batch 206/269 - Train Accuracy: 0.6227, Validation Accuracy: 0.6364, Loss: 0.6379 Epoch 3 Batch 207/269 - Train Accuracy: 0.6519, Validation Accuracy: 0.6430, Loss: 0.5982 Epoch 3 Batch 208/269 - Train Accuracy: 0.6214, Validation Accuracy: 0.6448, Loss: 0.6398 Epoch 3 Batch 209/269 - Train Accuracy: 0.6374, Validation Accuracy: 0.6404, Loss: 0.6136 Epoch 3 Batch 210/269 - Train Accuracy: 0.6415, Validation Accuracy: 0.6397, Loss: 0.6032 Epoch 3 Batch 211/269 - Train Accuracy: 0.6263, Validation Accuracy: 0.6364, Loss: 0.6193 Epoch 3 Batch 212/269 - Train Accuracy: 0.6458, Validation Accuracy: 0.6398, Loss: 0.5971 Epoch 3 Batch 213/269 - Train Accuracy: 0.6349, Validation Accuracy: 0.6345, Loss: 0.6011 Epoch 3 Batch 214/269 - Train Accuracy: 0.6408, Validation Accuracy: 0.6404, Loss: 0.6099 Epoch 3 Batch 215/269 - Train Accuracy: 0.6632, Validation Accuracy: 0.6382, Loss: 0.5669 Epoch 3 Batch 216/269 - Train Accuracy: 0.6142, Validation Accuracy: 0.6507, Loss: 0.6475 Epoch 3 Batch 217/269 - Train Accuracy: 0.6105, Validation Accuracy: 0.6499, Loss: 0.6330 Epoch 3 Batch 218/269 - Train Accuracy: 0.6303, Validation Accuracy: 0.6373, Loss: 0.6243 Epoch 3 Batch 219/269 - Train Accuracy: 0.6389, Validation Accuracy: 0.6359, Loss: 0.6388 Epoch 3 Batch 220/269 - Train Accuracy: 0.6476, Validation Accuracy: 0.6370, Loss: 0.5705 Epoch 3 Batch 221/269 - Train Accuracy: 0.6630, Validation Accuracy: 0.6444, Loss: 0.5958 Epoch 3 Batch 222/269 - Train Accuracy: 0.6576, Validation Accuracy: 0.6362, Loss: 0.5823 Epoch 3 Batch 223/269 - Train Accuracy: 0.6239, Validation Accuracy: 0.6350, Loss: 0.5926 Epoch 3 Batch 224/269 - Train Accuracy: 0.6422, Validation Accuracy: 0.6344, Loss: 0.6214 Epoch 3 Batch 225/269 - Train Accuracy: 0.6317, Validation Accuracy: 0.6460, Loss: 0.6048 Epoch 3 Batch 226/269 - Train Accuracy: 0.6607, Validation Accuracy: 0.6550, Loss: 0.6035 Epoch 3 Batch 227/269 - Train Accuracy: 0.6966, Validation Accuracy: 0.6440, Loss: 0.5360 Epoch 3 Batch 228/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6372, Loss: 0.5991 Epoch 3 Batch 229/269 - Train Accuracy: 0.6388, Validation Accuracy: 0.6349, Loss: 0.5879 Epoch 3 Batch 230/269 - Train Accuracy: 0.6363, Validation Accuracy: 0.6452, Loss: 0.5912 Epoch 3 Batch 231/269 - Train Accuracy: 0.6308, Validation Accuracy: 0.6539, Loss: 0.6278 Epoch 3 Batch 232/269 - Train Accuracy: 0.6257, Validation Accuracy: 0.6490, Loss: 0.6245 Epoch 3 Batch 233/269 - Train Accuracy: 0.6438, Validation Accuracy: 0.6462, Loss: 0.6027 Epoch 3 Batch 234/269 - Train Accuracy: 0.6487, Validation Accuracy: 0.6444, Loss: 0.5949 Epoch 3 Batch 235/269 - Train Accuracy: 0.6496, Validation Accuracy: 0.6473, Loss: 0.5851 Epoch 3 Batch 236/269 - Train Accuracy: 0.6337, Validation Accuracy: 0.6461, Loss: 0.5875 Epoch 3 Batch 237/269 - Train Accuracy: 0.6297, Validation Accuracy: 0.6422, Loss: 0.5880 Epoch 3 Batch 238/269 - Train Accuracy: 0.6513, Validation Accuracy: 0.6365, Loss: 0.5892 Epoch 3 Batch 239/269 - Train Accuracy: 0.6379, Validation Accuracy: 0.6423, Loss: 0.5883 Epoch 3 Batch 240/269 - Train Accuracy: 0.6707, Validation Accuracy: 0.6458, Loss: 0.5481 Epoch 3 Batch 241/269 - Train Accuracy: 0.6478, Validation Accuracy: 0.6387, Loss: 0.6014 Epoch 3 Batch 242/269 - Train Accuracy: 0.6338, Validation Accuracy: 0.6411, Loss: 0.5931 Epoch 3 Batch 243/269 - Train Accuracy: 0.6632, Validation Accuracy: 0.6430, Loss: 0.5758 Epoch 3 Batch 244/269 - Train Accuracy: 0.6528, Validation Accuracy: 0.6460, Loss: 0.5946 Epoch 3 Batch 245/269 - Train Accuracy: 0.6249, Validation Accuracy: 0.6500, Loss: 0.6268 Epoch 3 Batch 246/269 - Train Accuracy: 0.6297, Validation Accuracy: 0.6496, Loss: 0.5965 Epoch 3 Batch 247/269 - Train Accuracy: 0.6236, Validation Accuracy: 0.6409, Loss: 0.6192 Epoch 3 Batch 248/269 - Train Accuracy: 0.6410, Validation Accuracy: 0.6501, Loss: 0.5875 Epoch 3 Batch 249/269 - Train Accuracy: 0.6715, Validation Accuracy: 0.6521, Loss: 0.5603 Epoch 3 Batch 250/269 - Train Accuracy: 0.6266, Validation Accuracy: 0.6460, Loss: 0.6060 Epoch 3 Batch 251/269 - Train Accuracy: 0.6549, Validation Accuracy: 0.6434, Loss: 0.5829 Epoch 3 Batch 252/269 - Train Accuracy: 0.6317, Validation Accuracy: 0.6447, Loss: 0.5991 Epoch 3 Batch 253/269 - Train Accuracy: 0.6311, Validation Accuracy: 0.6548, Loss: 0.6008 Epoch 3 Batch 254/269 - Train Accuracy: 0.6413, Validation Accuracy: 0.6469, Loss: 0.5942 Epoch 3 Batch 255/269 - Train Accuracy: 0.6466, Validation Accuracy: 0.6395, Loss: 0.5745 Epoch 3 Batch 256/269 - Train Accuracy: 0.6380, Validation Accuracy: 0.6506, Loss: 0.5957 Epoch 3 Batch 257/269 - Train Accuracy: 0.6359, Validation Accuracy: 0.6580, Loss: 0.6033 Epoch 3 Batch 258/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6544, Loss: 0.5980 Epoch 3 Batch 259/269 - Train Accuracy: 0.6333, Validation Accuracy: 0.6317, Loss: 0.5860 Epoch 3 Batch 260/269 - Train Accuracy: 0.6261, Validation Accuracy: 0.6532, Loss: 0.6261 Epoch 3 Batch 261/269 - Train Accuracy: 0.6272, Validation Accuracy: 0.6600, Loss: 0.6185 Epoch 3 Batch 262/269 - Train Accuracy: 0.6403, Validation Accuracy: 0.6440, Loss: 0.5916 Epoch 3 Batch 263/269 - Train Accuracy: 0.6267, Validation Accuracy: 0.6359, Loss: 0.6072 Epoch 3 Batch 264/269 - Train Accuracy: 0.6141, Validation Accuracy: 0.6385, Loss: 0.6126 Epoch 3 Batch 265/269 - Train Accuracy: 0.6208, Validation Accuracy: 0.6505, Loss: 0.6105 Epoch 3 Batch 266/269 - Train Accuracy: 0.6680, Validation Accuracy: 0.6582, Loss: 0.5795 Epoch 3 Batch 267/269 - Train Accuracy: 0.6429, Validation Accuracy: 0.6557, Loss: 0.5925 Epoch 4 Batch 1/269 - Train Accuracy: 0.6179, Validation Accuracy: 0.6425, Loss: 0.6001 Epoch 4 Batch 2/269 - Train Accuracy: 0.6329, Validation Accuracy: 0.6477, Loss: 0.5906 Epoch 4 Batch 3/269 - Train Accuracy: 0.6386, Validation Accuracy: 0.6466, Loss: 0.5973 Epoch 4 Batch 4/269 - Train Accuracy: 0.6025, Validation Accuracy: 0.6517, Loss: 0.6053 Epoch 4 Batch 5/269 - Train Accuracy: 0.6252, Validation Accuracy: 0.6506, Loss: 0.6014 Epoch 4 Batch 6/269 - Train Accuracy: 0.6507, Validation Accuracy: 0.6453, Loss: 0.5604 Epoch 4 Batch 7/269 - Train Accuracy: 0.6487, Validation Accuracy: 0.6479, Loss: 0.5702 Epoch 4 Batch 8/269 - Train Accuracy: 0.6272, Validation Accuracy: 0.6536, Loss: 0.6103 Epoch 4 Batch 9/269 - Train Accuracy: 0.6295, Validation Accuracy: 0.6395, Loss: 0.5892 Epoch 4 Batch 10/269 - Train Accuracy: 0.6415, Validation Accuracy: 0.6578, Loss: 0.5980 Epoch 4 Batch 11/269 - Train Accuracy: 0.6363, Validation Accuracy: 0.6562, Loss: 0.5923 Epoch 4 Batch 12/269 - Train Accuracy: 0.6394, Validation Accuracy: 0.6507, Loss: 0.6050 Epoch 4 Batch 13/269 - Train Accuracy: 0.6469, Validation Accuracy: 0.6473, Loss: 0.5407 Epoch 4 Batch 14/269 - Train Accuracy: 0.6360, Validation Accuracy: 0.6380, Loss: 0.5759 Epoch 4 Batch 15/269 - Train Accuracy: 0.6449, Validation Accuracy: 0.6586, Loss: 0.5675 Epoch 4 Batch 16/269 - Train Accuracy: 0.6535, Validation Accuracy: 0.6590, Loss: 0.5714 Epoch 4 Batch 17/269 - Train Accuracy: 0.6497, Validation Accuracy: 0.6492, Loss: 0.5706 Epoch 4 Batch 18/269 - Train Accuracy: 0.6147, Validation Accuracy: 0.6465, Loss: 0.5874 Epoch 4 Batch 19/269 - Train Accuracy: 0.6643, Validation Accuracy: 0.6424, Loss: 0.5418 Epoch 4 Batch 20/269 - Train Accuracy: 0.6547, Validation Accuracy: 0.6617, Loss: 0.6010 Epoch 4 Batch 21/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6609, Loss: 0.6117 Epoch 4 Batch 22/269 - Train Accuracy: 0.6633, Validation Accuracy: 0.6521, Loss: 0.5580 Epoch 4 Batch 23/269 - Train Accuracy: 0.6489, Validation Accuracy: 0.6486, Loss: 0.5687 Epoch 4 Batch 24/269 - Train Accuracy: 0.6393, Validation Accuracy: 0.6574, Loss: 0.6027 Epoch 4 Batch 25/269 - Train Accuracy: 0.6482, Validation Accuracy: 0.6618, Loss: 0.6063 Epoch 4 Batch 26/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6522, Loss: 0.5368 Epoch 4 Batch 27/269 - Train Accuracy: 0.6403, Validation Accuracy: 0.6523, Loss: 0.5693 Epoch 4 Batch 28/269 - Train Accuracy: 0.6049, Validation Accuracy: 0.6559, Loss: 0.6149 Epoch 4 Batch 29/269 - Train Accuracy: 0.6488, Validation Accuracy: 0.6534, Loss: 0.6037 Epoch 4 Batch 30/269 - Train Accuracy: 0.6628, Validation Accuracy: 0.6531, Loss: 0.5632 Epoch 4 Batch 31/269 - Train Accuracy: 0.6484, Validation Accuracy: 0.6523, Loss: 0.5621 Epoch 4 Batch 32/269 - Train Accuracy: 0.6447, Validation Accuracy: 0.6538, Loss: 0.5623 Epoch 4 Batch 33/269 - Train Accuracy: 0.6749, Validation Accuracy: 0.6547, Loss: 0.5447 Epoch 4 Batch 34/269 - Train Accuracy: 0.6554, Validation Accuracy: 0.6547, Loss: 0.5670 Epoch 4 Batch 35/269 - Train Accuracy: 0.6464, Validation Accuracy: 0.6546, Loss: 0.5812 Epoch 4 Batch 36/269 - Train Accuracy: 0.6532, Validation Accuracy: 0.6570, Loss: 0.5657 Epoch 4 Batch 37/269 - Train Accuracy: 0.6586, Validation Accuracy: 0.6524, Loss: 0.5636 Epoch 4 Batch 38/269 - Train Accuracy: 0.6488, Validation Accuracy: 0.6493, Loss: 0.5658 Epoch 4 Batch 39/269 - Train Accuracy: 0.6443, Validation Accuracy: 0.6503, Loss: 0.5566 Epoch 4 Batch 40/269 - Train Accuracy: 0.6284, Validation Accuracy: 0.6456, Loss: 0.5849 Epoch 4 Batch 41/269 - Train Accuracy: 0.6276, Validation Accuracy: 0.6477, Loss: 0.5752 Epoch 4 Batch 42/269 - Train Accuracy: 0.6663, Validation Accuracy: 0.6464, Loss: 0.5393 Epoch 4 Batch 43/269 - Train Accuracy: 0.6437, Validation Accuracy: 0.6578, Loss: 0.5901 Epoch 4 Batch 44/269 - Train Accuracy: 0.6474, Validation Accuracy: 0.6535, Loss: 0.5716 Epoch 4 Batch 45/269 - Train Accuracy: 0.6381, Validation Accuracy: 0.6523, Loss: 0.5898 Epoch 4 Batch 46/269 - Train Accuracy: 0.6292, Validation Accuracy: 0.6562, Loss: 0.5783 Epoch 4 Batch 47/269 - Train Accuracy: 0.6716, Validation Accuracy: 0.6570, Loss: 0.5215 Epoch 4 Batch 48/269 - Train Accuracy: 0.6618, Validation Accuracy: 0.6503, Loss: 0.5482 Epoch 4 Batch 49/269 - Train Accuracy: 0.6247, Validation Accuracy: 0.6499, Loss: 0.5770 Epoch 4 Batch 50/269 - Train Accuracy: 0.6363, Validation Accuracy: 0.6498, Loss: 0.5804 Epoch 4 Batch 51/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6485, Loss: 0.5683 Epoch 4 Batch 52/269 - Train Accuracy: 0.6361, Validation Accuracy: 0.6480, Loss: 0.5419 Epoch 4 Batch 53/269 - Train Accuracy: 0.6456, Validation Accuracy: 0.6547, Loss: 0.5954 Epoch 4 Batch 54/269 - Train Accuracy: 0.6483, Validation Accuracy: 0.6556, Loss: 0.5805 Epoch 4 Batch 55/269 - Train Accuracy: 0.6556, Validation Accuracy: 0.6444, Loss: 0.5552 Epoch 4 Batch 56/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6514, Loss: 0.5680 Epoch 4 Batch 57/269 - Train Accuracy: 0.6571, Validation Accuracy: 0.6617, Loss: 0.5726 Epoch 4 Batch 58/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6583, Loss: 0.5558 Epoch 4 Batch 59/269 - Train Accuracy: 0.6712, Validation Accuracy: 0.6485, Loss: 0.5373 Epoch 4 Batch 60/269 - Train Accuracy: 0.6648, Validation Accuracy: 0.6584, Loss: 0.5307 Epoch 4 Batch 61/269 - Train Accuracy: 0.6675, Validation Accuracy: 0.6574, Loss: 0.5229 Epoch 4 Batch 62/269 - Train Accuracy: 0.6614, Validation Accuracy: 0.6546, Loss: 0.5377 Epoch 4 Batch 63/269 - Train Accuracy: 0.6377, Validation Accuracy: 0.6586, Loss: 0.5666 Epoch 4 Batch 64/269 - Train Accuracy: 0.6607, Validation Accuracy: 0.6614, Loss: 0.5386 Epoch 4 Batch 65/269 - Train Accuracy: 0.6532, Validation Accuracy: 0.6607, Loss: 0.5556 Epoch 4 Batch 66/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6544, Loss: 0.5419 Epoch 4 Batch 67/269 - Train Accuracy: 0.6496, Validation Accuracy: 0.6590, Loss: 0.5644 Epoch 4 Batch 68/269 - Train Accuracy: 0.6635, Validation Accuracy: 0.6573, Loss: 0.5582 Epoch 4 Batch 69/269 - Train Accuracy: 0.5952, Validation Accuracy: 0.6539, Loss: 0.6121 Epoch 4 Batch 70/269 - Train Accuracy: 0.6569, Validation Accuracy: 0.6504, Loss: 0.5651 Epoch 4 Batch 71/269 - Train Accuracy: 0.6246, Validation Accuracy: 0.6509, Loss: 0.5973 Epoch 4 Batch 72/269 - Train Accuracy: 0.6535, Validation Accuracy: 0.6507, Loss: 0.5721 Epoch 4 Batch 73/269 - Train Accuracy: 0.6494, Validation Accuracy: 0.6608, Loss: 0.5854 Epoch 4 Batch 74/269 - Train Accuracy: 0.6503, Validation Accuracy: 0.6587, Loss: 0.5697 Epoch 4 Batch 75/269 - Train Accuracy: 0.6590, Validation Accuracy: 0.6552, Loss: 0.5608 Epoch 4 Batch 76/269 - Train Accuracy: 0.6230, Validation Accuracy: 0.6476, Loss: 0.5758 Epoch 4 Batch 77/269 - Train Accuracy: 0.6541, Validation Accuracy: 0.6507, Loss: 0.5543 Epoch 4 Batch 78/269 - Train Accuracy: 0.6598, Validation Accuracy: 0.6615, Loss: 0.5554 Epoch 4 Batch 79/269 - Train Accuracy: 0.6385, Validation Accuracy: 0.6606, Loss: 0.5535 Epoch 4 Batch 80/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6589, Loss: 0.5529 Epoch 4 Batch 81/269 - Train Accuracy: 0.6588, Validation Accuracy: 0.6567, Loss: 0.5744 Epoch 4 Batch 82/269 - Train Accuracy: 0.6695, Validation Accuracy: 0.6589, Loss: 0.5363 Epoch 4 Batch 83/269 - Train Accuracy: 0.6567, Validation Accuracy: 0.6657, Loss: 0.5583 Epoch 4 Batch 84/269 - Train Accuracy: 0.6534, Validation Accuracy: 0.6633, Loss: 0.5350 Epoch 4 Batch 85/269 - Train Accuracy: 0.6469, Validation Accuracy: 0.6618, Loss: 0.5541 Epoch 4 Batch 86/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6593, Loss: 0.5507 Epoch 4 Batch 87/269 - Train Accuracy: 0.6432, Validation Accuracy: 0.6669, Loss: 0.5860 Epoch 4 Batch 88/269 - Train Accuracy: 0.6518, Validation Accuracy: 0.6628, Loss: 0.5530 Epoch 4 Batch 89/269 - Train Accuracy: 0.6606, Validation Accuracy: 0.6641, Loss: 0.5567 Epoch 4 Batch 90/269 - Train Accuracy: 0.6229, Validation Accuracy: 0.6594, Loss: 0.5865 Epoch 4 Batch 91/269 - Train Accuracy: 0.6648, Validation Accuracy: 0.6614, Loss: 0.5276 Epoch 4 Batch 92/269 - Train Accuracy: 0.6745, Validation Accuracy: 0.6675, Loss: 0.5399 Epoch 4 Batch 93/269 - Train Accuracy: 0.6809, Validation Accuracy: 0.6661, Loss: 0.5248 Epoch 4 Batch 94/269 - Train Accuracy: 0.6540, Validation Accuracy: 0.6695, Loss: 0.5646 Epoch 4 Batch 95/269 - Train Accuracy: 0.6484, Validation Accuracy: 0.6635, Loss: 0.5436 Epoch 4 Batch 96/269 - Train Accuracy: 0.6580, Validation Accuracy: 0.6635, Loss: 0.5474 Epoch 4 Batch 97/269 - Train Accuracy: 0.6695, Validation Accuracy: 0.6648, Loss: 0.5410 Epoch 4 Batch 98/269 - Train Accuracy: 0.6669, Validation Accuracy: 0.6645, Loss: 0.5450 Epoch 4 Batch 99/269 - Train Accuracy: 0.6454, Validation Accuracy: 0.6658, Loss: 0.5625 Epoch 4 Batch 100/269 - Train Accuracy: 0.6817, Validation Accuracy: 0.6612, Loss: 0.5359 Epoch 4 Batch 101/269 - Train Accuracy: 0.6274, Validation Accuracy: 0.6636, Loss: 0.5873 Epoch 4 Batch 102/269 - Train Accuracy: 0.6505, Validation Accuracy: 0.6621, Loss: 0.5539 Epoch 4 Batch 103/269 - Train Accuracy: 0.6763, Validation Accuracy: 0.6634, Loss: 0.5456 Epoch 4 Batch 104/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6609, Loss: 0.5455 Epoch 4 Batch 105/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6618, Loss: 0.5521 Epoch 4 Batch 106/269 - Train Accuracy: 0.6531, Validation Accuracy: 0.6626, Loss: 0.5428 Epoch 4 Batch 107/269 - Train Accuracy: 0.6224, Validation Accuracy: 0.6622, Loss: 0.5728 Epoch 4 Batch 108/269 - Train Accuracy: 0.6676, Validation Accuracy: 0.6653, Loss: 0.5464 Epoch 4 Batch 109/269 - Train Accuracy: 0.6457, Validation Accuracy: 0.6604, Loss: 0.5544 Epoch 4 Batch 110/269 - Train Accuracy: 0.6473, Validation Accuracy: 0.6518, Loss: 0.5310 Epoch 4 Batch 111/269 - Train Accuracy: 0.6388, Validation Accuracy: 0.6599, Loss: 0.5794 Epoch 4 Batch 112/269 - Train Accuracy: 0.6505, Validation Accuracy: 0.6625, Loss: 0.5439 Epoch 4 Batch 113/269 - Train Accuracy: 0.6616, Validation Accuracy: 0.6657, Loss: 0.5246 Epoch 4 Batch 114/269 - Train Accuracy: 0.6661, Validation Accuracy: 0.6693, Loss: 0.5450 Epoch 4 Batch 115/269 - Train Accuracy: 0.6409, Validation Accuracy: 0.6657, Loss: 0.5660 Epoch 4 Batch 116/269 - Train Accuracy: 0.6652, Validation Accuracy: 0.6689, Loss: 0.5501 Epoch 4 Batch 117/269 - Train Accuracy: 0.6570, Validation Accuracy: 0.6573, Loss: 0.5429 Epoch 4 Batch 118/269 - Train Accuracy: 0.6565, Validation Accuracy: 0.6525, Loss: 0.5221 Epoch 4 Batch 119/269 - Train Accuracy: 0.6364, Validation Accuracy: 0.6602, Loss: 0.5661 Epoch 4 Batch 120/269 - Train Accuracy: 0.6437, Validation Accuracy: 0.6678, Loss: 0.5594 Epoch 4 Batch 121/269 - Train Accuracy: 0.6647, Validation Accuracy: 0.6630, Loss: 0.5364 Epoch 4 Batch 122/269 - Train Accuracy: 0.6619, Validation Accuracy: 0.6628, Loss: 0.5327 Epoch 4 Batch 123/269 - Train Accuracy: 0.6635, Validation Accuracy: 0.6673, Loss: 0.5623 Epoch 4 Batch 124/269 - Train Accuracy: 0.6585, Validation Accuracy: 0.6643, Loss: 0.5244 Epoch 4 Batch 125/269 - Train Accuracy: 0.6713, Validation Accuracy: 0.6630, Loss: 0.5284 Epoch 4 Batch 126/269 - Train Accuracy: 0.6645, Validation Accuracy: 0.6629, Loss: 0.5294 Epoch 4 Batch 127/269 - Train Accuracy: 0.6439, Validation Accuracy: 0.6658, Loss: 0.5581 Epoch 4 Batch 128/269 - Train Accuracy: 0.6692, Validation Accuracy: 0.6628, Loss: 0.5400 Epoch 4 Batch 129/269 - Train Accuracy: 0.6616, Validation Accuracy: 0.6672, Loss: 0.5374 Epoch 4 Batch 130/269 - Train Accuracy: 0.6337, Validation Accuracy: 0.6648, Loss: 0.5606 Epoch 4 Batch 131/269 - Train Accuracy: 0.6339, Validation Accuracy: 0.6598, Loss: 0.5565 Epoch 4 Batch 132/269 - Train Accuracy: 0.6355, Validation Accuracy: 0.6655, Loss: 0.5500 Epoch 4 Batch 133/269 - Train Accuracy: 0.6653, Validation Accuracy: 0.6611, Loss: 0.5249 Epoch 4 Batch 134/269 - Train Accuracy: 0.6405, Validation Accuracy: 0.6652, Loss: 0.5522 Epoch 4 Batch 135/269 - Train Accuracy: 0.6280, Validation Accuracy: 0.6599, Loss: 0.5723 Epoch 4 Batch 136/269 - Train Accuracy: 0.6342, Validation Accuracy: 0.6590, Loss: 0.5692 Epoch 4 Batch 137/269 - Train Accuracy: 0.6484, Validation Accuracy: 0.6597, Loss: 0.5622 Epoch 4 Batch 138/269 - Train Accuracy: 0.6637, Validation Accuracy: 0.6598, Loss: 0.5471 Epoch 4 Batch 139/269 - Train Accuracy: 0.6604, Validation Accuracy: 0.6645, Loss: 0.5177 Epoch 4 Batch 140/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6607, Loss: 0.5550 Epoch 4 Batch 141/269 - Train Accuracy: 0.6485, Validation Accuracy: 0.6634, Loss: 0.5539 Epoch 4 Batch 142/269 - Train Accuracy: 0.6710, Validation Accuracy: 0.6716, Loss: 0.5246 Epoch 4 Batch 143/269 - Train Accuracy: 0.6533, Validation Accuracy: 0.6655, Loss: 0.5294 Epoch 4 Batch 144/269 - Train Accuracy: 0.6722, Validation Accuracy: 0.6648, Loss: 0.5177 Epoch 4 Batch 145/269 - Train Accuracy: 0.6478, Validation Accuracy: 0.6622, Loss: 0.5319 Epoch 4 Batch 146/269 - Train Accuracy: 0.6527, Validation Accuracy: 0.6634, Loss: 0.5251 Epoch 4 Batch 147/269 - Train Accuracy: 0.6704, Validation Accuracy: 0.6652, Loss: 0.5085 Epoch 4 Batch 148/269 - Train Accuracy: 0.6458, Validation Accuracy: 0.6742, Loss: 0.5356 Epoch 4 Batch 149/269 - Train Accuracy: 0.6537, Validation Accuracy: 0.6671, Loss: 0.5430 Epoch 4 Batch 150/269 - Train Accuracy: 0.6647, Validation Accuracy: 0.6735, Loss: 0.5394 Epoch 4 Batch 151/269 - Train Accuracy: 0.6832, Validation Accuracy: 0.6739, Loss: 0.5133 Epoch 4 Batch 152/269 - Train Accuracy: 0.6537, Validation Accuracy: 0.6654, Loss: 0.5323 Epoch 4 Batch 153/269 - Train Accuracy: 0.6682, Validation Accuracy: 0.6688, Loss: 0.5211 Epoch 4 Batch 154/269 - Train Accuracy: 0.6657, Validation Accuracy: 0.6718, Loss: 0.5393 Epoch 4 Batch 155/269 - Train Accuracy: 0.6883, Validation Accuracy: 0.6784, Loss: 0.5102 Epoch 4 Batch 156/269 - Train Accuracy: 0.6406, Validation Accuracy: 0.6646, Loss: 0.5485 Epoch 4 Batch 157/269 - Train Accuracy: 0.6435, Validation Accuracy: 0.6690, Loss: 0.5294 Epoch 4 Batch 158/269 - Train Accuracy: 0.6547, Validation Accuracy: 0.6729, Loss: 0.5250 Epoch 4 Batch 159/269 - Train Accuracy: 0.6549, Validation Accuracy: 0.6680, Loss: 0.5344 Epoch 4 Batch 160/269 - Train Accuracy: 0.6597, Validation Accuracy: 0.6672, Loss: 0.5209 Epoch 4 Batch 161/269 - Train Accuracy: 0.6601, Validation Accuracy: 0.6711, Loss: 0.5319 Epoch 4 Batch 162/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6692, Loss: 0.5213 Epoch 4 Batch 163/269 - Train Accuracy: 0.6519, Validation Accuracy: 0.6649, Loss: 0.5213 Epoch 4 Batch 164/269 - Train Accuracy: 0.6677, Validation Accuracy: 0.6693, Loss: 0.5243 Epoch 4 Batch 165/269 - Train Accuracy: 0.6704, Validation Accuracy: 0.6697, Loss: 0.5411 Epoch 4 Batch 166/269 - Train Accuracy: 0.6683, Validation Accuracy: 0.6768, Loss: 0.5087 Epoch 4 Batch 167/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6645, Loss: 0.5297 Epoch 4 Batch 168/269 - Train Accuracy: 0.6563, Validation Accuracy: 0.6709, Loss: 0.5366 Epoch 4 Batch 169/269 - Train Accuracy: 0.6709, Validation Accuracy: 0.6730, Loss: 0.5305 Epoch 4 Batch 170/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6693, Loss: 0.5290 Epoch 4 Batch 171/269 - Train Accuracy: 0.6698, Validation Accuracy: 0.6700, Loss: 0.5429 Epoch 4 Batch 172/269 - Train Accuracy: 0.6589, Validation Accuracy: 0.6674, Loss: 0.5509 Epoch 4 Batch 173/269 - Train Accuracy: 0.6773, Validation Accuracy: 0.6744, Loss: 0.5110 Epoch 4 Batch 174/269 - Train Accuracy: 0.6511, Validation Accuracy: 0.6735, Loss: 0.5256 Epoch 4 Batch 175/269 - Train Accuracy: 0.6532, Validation Accuracy: 0.6725, Loss: 0.5422 Epoch 4 Batch 176/269 - Train Accuracy: 0.6450, Validation Accuracy: 0.6721, Loss: 0.5578 Epoch 4 Batch 177/269 - Train Accuracy: 0.6900, Validation Accuracy: 0.6734, Loss: 0.4982 Epoch 4 Batch 178/269 - Train Accuracy: 0.6521, Validation Accuracy: 0.6703, Loss: 0.5346 Epoch 4 Batch 179/269 - Train Accuracy: 0.6527, Validation Accuracy: 0.6721, Loss: 0.5291 Epoch 4 Batch 180/269 - Train Accuracy: 0.6639, Validation Accuracy: 0.6673, Loss: 0.5137 Epoch 4 Batch 181/269 - Train Accuracy: 0.6601, Validation Accuracy: 0.6708, Loss: 0.5265 Epoch 4 Batch 182/269 - Train Accuracy: 0.6843, Validation Accuracy: 0.6720, Loss: 0.5276 Epoch 4 Batch 183/269 - Train Accuracy: 0.7183, Validation Accuracy: 0.6736, Loss: 0.4518 Epoch 4 Batch 184/269 - Train Accuracy: 0.6335, Validation Accuracy: 0.6715, Loss: 0.5361 Epoch 4 Batch 185/269 - Train Accuracy: 0.6784, Validation Accuracy: 0.6731, Loss: 0.5176 Epoch 4 Batch 186/269 - Train Accuracy: 0.6477, Validation Accuracy: 0.6717, Loss: 0.5392 Epoch 4 Batch 187/269 - Train Accuracy: 0.6740, Validation Accuracy: 0.6789, Loss: 0.5130 Epoch 4 Batch 188/269 - Train Accuracy: 0.6655, Validation Accuracy: 0.6710, Loss: 0.4988 Epoch 4 Batch 189/269 - Train Accuracy: 0.6650, Validation Accuracy: 0.6740, Loss: 0.5070 Epoch 4 Batch 190/269 - Train Accuracy: 0.6410, Validation Accuracy: 0.6743, Loss: 0.4971 Epoch 4 Batch 191/269 - Train Accuracy: 0.6752, Validation Accuracy: 0.6815, Loss: 0.5173 Epoch 4 Batch 192/269 - Train Accuracy: 0.6798, Validation Accuracy: 0.6818, Loss: 0.5196 Epoch 4 Batch 193/269 - Train Accuracy: 0.6859, Validation Accuracy: 0.6757, Loss: 0.5119 Epoch 4 Batch 194/269 - Train Accuracy: 0.6583, Validation Accuracy: 0.6793, Loss: 0.5214 Epoch 4 Batch 195/269 - Train Accuracy: 0.6702, Validation Accuracy: 0.6696, Loss: 0.5197 Epoch 4 Batch 196/269 - Train Accuracy: 0.6644, Validation Accuracy: 0.6690, Loss: 0.5093 Epoch 4 Batch 197/269 - Train Accuracy: 0.6713, Validation Accuracy: 0.6733, Loss: 0.5400 Epoch 4 Batch 198/269 - Train Accuracy: 0.6536, Validation Accuracy: 0.6722, Loss: 0.5409 Epoch 4 Batch 199/269 - Train Accuracy: 0.6813, Validation Accuracy: 0.6746, Loss: 0.5177 Epoch 4 Batch 200/269 - Train Accuracy: 0.6745, Validation Accuracy: 0.6670, Loss: 0.5285 Epoch 4 Batch 201/269 - Train Accuracy: 0.6790, Validation Accuracy: 0.6713, Loss: 0.5159 Epoch 4 Batch 202/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6687, Loss: 0.5117 Epoch 4 Batch 203/269 - Train Accuracy: 0.6445, Validation Accuracy: 0.6772, Loss: 0.5440 Epoch 4 Batch 204/269 - Train Accuracy: 0.6538, Validation Accuracy: 0.6719, Loss: 0.5394 Epoch 4 Batch 205/269 - Train Accuracy: 0.6827, Validation Accuracy: 0.6748, Loss: 0.5025 Epoch 4 Batch 206/269 - Train Accuracy: 0.6498, Validation Accuracy: 0.6702, Loss: 0.5293 Epoch 4 Batch 207/269 - Train Accuracy: 0.6772, Validation Accuracy: 0.6783, Loss: 0.5005 Epoch 4 Batch 208/269 - Train Accuracy: 0.6584, Validation Accuracy: 0.6801, Loss: 0.5366 Epoch 4 Batch 209/269 - Train Accuracy: 0.6743, Validation Accuracy: 0.6676, Loss: 0.5209 Epoch 4 Batch 210/269 - Train Accuracy: 0.6740, Validation Accuracy: 0.6645, Loss: 0.5007 Epoch 4 Batch 211/269 - Train Accuracy: 0.6803, Validation Accuracy: 0.6713, Loss: 0.5179 Epoch 4 Batch 212/269 - Train Accuracy: 0.6699, Validation Accuracy: 0.6711, Loss: 0.5013 Epoch 4 Batch 213/269 - Train Accuracy: 0.6719, Validation Accuracy: 0.6763, Loss: 0.5084 Epoch 4 Batch 214/269 - Train Accuracy: 0.6748, Validation Accuracy: 0.6756, Loss: 0.5141 Epoch 4 Batch 215/269 - Train Accuracy: 0.6949, Validation Accuracy: 0.6657, Loss: 0.4805 Epoch 4 Batch 216/269 - Train Accuracy: 0.6434, Validation Accuracy: 0.6775, Loss: 0.5510 Epoch 4 Batch 217/269 - Train Accuracy: 0.6389, Validation Accuracy: 0.6663, Loss: 0.5404 Epoch 4 Batch 218/269 - Train Accuracy: 0.6643, Validation Accuracy: 0.6767, Loss: 0.5383 Epoch 4 Batch 219/269 - Train Accuracy: 0.6729, Validation Accuracy: 0.6776, Loss: 0.5484 Epoch 4 Batch 220/269 - Train Accuracy: 0.6704, Validation Accuracy: 0.6667, Loss: 0.4816 Epoch 4 Batch 221/269 - Train Accuracy: 0.6896, Validation Accuracy: 0.6625, Loss: 0.5099 Epoch 4 Batch 222/269 - Train Accuracy: 0.6887, Validation Accuracy: 0.6754, Loss: 0.5026 Epoch 4 Batch 223/269 - Train Accuracy: 0.6656, Validation Accuracy: 0.6709, Loss: 0.5032 Epoch 4 Batch 224/269 - Train Accuracy: 0.6619, Validation Accuracy: 0.6649, Loss: 0.5287 Epoch 4 Batch 225/269 - Train Accuracy: 0.6783, Validation Accuracy: 0.6746, Loss: 0.5241 Epoch 4 Batch 226/269 - Train Accuracy: 0.6921, Validation Accuracy: 0.6669, Loss: 0.4985 Epoch 4 Batch 227/269 - Train Accuracy: 0.7201, Validation Accuracy: 0.6735, Loss: 0.4699 Epoch 4 Batch 228/269 - Train Accuracy: 0.6671, Validation Accuracy: 0.6742, Loss: 0.5052 Epoch 4 Batch 229/269 - Train Accuracy: 0.6681, Validation Accuracy: 0.6750, Loss: 0.5023 Epoch 4 Batch 230/269 - Train Accuracy: 0.6783, Validation Accuracy: 0.6713, Loss: 0.5001 Epoch 4 Batch 231/269 - Train Accuracy: 0.6698, Validation Accuracy: 0.6723, Loss: 0.5386 Epoch 4 Batch 232/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6788, Loss: 0.5317 Epoch 4 Batch 233/269 - Train Accuracy: 0.6963, Validation Accuracy: 0.6785, Loss: 0.5173 Epoch 4 Batch 234/269 - Train Accuracy: 0.6717, Validation Accuracy: 0.6800, Loss: 0.5023 Epoch 4 Batch 235/269 - Train Accuracy: 0.6830, Validation Accuracy: 0.6831, Loss: 0.4963 Epoch 4 Batch 236/269 - Train Accuracy: 0.6644, Validation Accuracy: 0.6799, Loss: 0.4974 Epoch 4 Batch 237/269 - Train Accuracy: 0.6707, Validation Accuracy: 0.6787, Loss: 0.4997 Epoch 4 Batch 238/269 - Train Accuracy: 0.7127, Validation Accuracy: 0.6833, Loss: 0.4988 Epoch 4 Batch 239/269 - Train Accuracy: 0.6812, Validation Accuracy: 0.6880, Loss: 0.4966 Epoch 4 Batch 240/269 - Train Accuracy: 0.7031, Validation Accuracy: 0.6828, Loss: 0.4623 Epoch 4 Batch 241/269 - Train Accuracy: 0.6970, Validation Accuracy: 0.6788, Loss: 0.5109 Epoch 4 Batch 242/269 - Train Accuracy: 0.6718, Validation Accuracy: 0.6777, Loss: 0.4945 Epoch 4 Batch 243/269 - Train Accuracy: 0.6793, Validation Accuracy: 0.6798, Loss: 0.4870 Epoch 4 Batch 244/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6859, Loss: 0.4934 Epoch 4 Batch 245/269 - Train Accuracy: 0.6434, Validation Accuracy: 0.6822, Loss: 0.5267 Epoch 4 Batch 246/269 - Train Accuracy: 0.6626, Validation Accuracy: 0.6744, Loss: 0.5004 Epoch 4 Batch 247/269 - Train Accuracy: 0.6653, Validation Accuracy: 0.6758, Loss: 0.5168 Epoch 4 Batch 248/269 - Train Accuracy: 0.6896, Validation Accuracy: 0.6744, Loss: 0.4852 Epoch 4 Batch 249/269 - Train Accuracy: 0.7025, Validation Accuracy: 0.6790, Loss: 0.4691 Epoch 4 Batch 250/269 - Train Accuracy: 0.6531, Validation Accuracy: 0.6711, Loss: 0.5027 Epoch 4 Batch 251/269 - Train Accuracy: 0.7079, Validation Accuracy: 0.6726, Loss: 0.4857 Epoch 4 Batch 252/269 - Train Accuracy: 0.6654, Validation Accuracy: 0.6774, Loss: 0.4992 Epoch 4 Batch 253/269 - Train Accuracy: 0.6499, Validation Accuracy: 0.6738, Loss: 0.5042 Epoch 4 Batch 254/269 - Train Accuracy: 0.6712, Validation Accuracy: 0.6756, Loss: 0.4943 Epoch 4 Batch 255/269 - Train Accuracy: 0.6713, Validation Accuracy: 0.6681, Loss: 0.4833 Epoch 4 Batch 256/269 - Train Accuracy: 0.6778, Validation Accuracy: 0.6755, Loss: 0.5058 Epoch 4 Batch 257/269 - Train Accuracy: 0.6801, Validation Accuracy: 0.6851, Loss: 0.5024 Epoch 4 Batch 258/269 - Train Accuracy: 0.6694, Validation Accuracy: 0.6789, Loss: 0.5028 Epoch 4 Batch 259/269 - Train Accuracy: 0.6897, Validation Accuracy: 0.6773, Loss: 0.4990 Epoch 4 Batch 260/269 - Train Accuracy: 0.6580, Validation Accuracy: 0.6848, Loss: 0.5200 Epoch 4 Batch 261/269 - Train Accuracy: 0.6663, Validation Accuracy: 0.6895, Loss: 0.5159 Epoch 4 Batch 262/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6867, Loss: 0.5016 Epoch 4 Batch 263/269 - Train Accuracy: 0.6572, Validation Accuracy: 0.6814, Loss: 0.5136 Epoch 4 Batch 264/269 - Train Accuracy: 0.6601, Validation Accuracy: 0.6812, Loss: 0.5360 Epoch 4 Batch 265/269 - Train Accuracy: 0.6403, Validation Accuracy: 0.6622, Loss: 0.5615 Epoch 4 Batch 266/269 - Train Accuracy: 0.6573, Validation Accuracy: 0.6603, Loss: 0.6630 Epoch 4 Batch 267/269 - Train Accuracy: 0.6273, Validation Accuracy: 0.6323, Loss: 0.5395 Epoch 5 Batch 1/269 - Train Accuracy: 0.6289, Validation Accuracy: 0.6541, Loss: 0.5419 Epoch 5 Batch 2/269 - Train Accuracy: 0.6328, Validation Accuracy: 0.6557, Loss: 0.5596 Epoch 5 Batch 3/269 - Train Accuracy: 0.6442, Validation Accuracy: 0.6539, Loss: 0.5941 Epoch 5 Batch 4/269 - Train Accuracy: 0.6196, Validation Accuracy: 0.6511, Loss: 0.5687 Epoch 5 Batch 5/269 - Train Accuracy: 0.6143, Validation Accuracy: 0.6484, Loss: 0.5532 Epoch 5 Batch 6/269 - Train Accuracy: 0.6732, Validation Accuracy: 0.6539, Loss: 0.5301 Epoch 5 Batch 7/269 - Train Accuracy: 0.6688, Validation Accuracy: 0.6645, Loss: 0.5369 Epoch 5 Batch 8/269 - Train Accuracy: 0.6366, Validation Accuracy: 0.6571, Loss: 0.5466 Epoch 5 Batch 9/269 - Train Accuracy: 0.6368, Validation Accuracy: 0.6646, Loss: 0.5330 Epoch 5 Batch 10/269 - Train Accuracy: 0.6618, Validation Accuracy: 0.6694, Loss: 0.5393 Epoch 5 Batch 11/269 - Train Accuracy: 0.6623, Validation Accuracy: 0.6757, Loss: 0.5281 Epoch 5 Batch 12/269 - Train Accuracy: 0.6734, Validation Accuracy: 0.6810, Loss: 0.5491 Epoch 5 Batch 13/269 - Train Accuracy: 0.6857, Validation Accuracy: 0.6830, Loss: 0.4833 Epoch 5 Batch 14/269 - Train Accuracy: 0.6682, Validation Accuracy: 0.6847, Loss: 0.5223 Epoch 5 Batch 15/269 - Train Accuracy: 0.6487, Validation Accuracy: 0.6746, Loss: 0.4967 Epoch 5 Batch 16/269 - Train Accuracy: 0.6639, Validation Accuracy: 0.6692, Loss: 0.5105 Epoch 5 Batch 17/269 - Train Accuracy: 0.6628, Validation Accuracy: 0.6718, Loss: 0.5021 Epoch 5 Batch 18/269 - Train Accuracy: 0.6630, Validation Accuracy: 0.6781, Loss: 0.5186 Epoch 5 Batch 19/269 - Train Accuracy: 0.6908, Validation Accuracy: 0.6847, Loss: 0.4798 Epoch 5 Batch 20/269 - Train Accuracy: 0.6738, Validation Accuracy: 0.6878, Loss: 0.5183 Epoch 5 Batch 21/269 - Train Accuracy: 0.6735, Validation Accuracy: 0.6856, Loss: 0.5401 Epoch 5 Batch 22/269 - Train Accuracy: 0.7050, Validation Accuracy: 0.6833, Loss: 0.4882 Epoch 5 Batch 23/269 - Train Accuracy: 0.6739, Validation Accuracy: 0.6834, Loss: 0.4923 Epoch 5 Batch 24/269 - Train Accuracy: 0.6676, Validation Accuracy: 0.6769, Loss: 0.5198 Epoch 5 Batch 25/269 - Train Accuracy: 0.6608, Validation Accuracy: 0.6784, Loss: 0.5301 Epoch 5 Batch 26/269 - Train Accuracy: 0.6964, Validation Accuracy: 0.6799, Loss: 0.4645 Epoch 5 Batch 27/269 - Train Accuracy: 0.6942, Validation Accuracy: 0.6857, Loss: 0.4961 Epoch 5 Batch 28/269 - Train Accuracy: 0.6421, Validation Accuracy: 0.6878, Loss: 0.5340 Epoch 5 Batch 29/269 - Train Accuracy: 0.7027, Validation Accuracy: 0.6850, Loss: 0.5110 Epoch 5 Batch 30/269 - Train Accuracy: 0.6947, Validation Accuracy: 0.6861, Loss: 0.4820 Epoch 5 Batch 31/269 - Train Accuracy: 0.6866, Validation Accuracy: 0.6813, Loss: 0.4827 Epoch 5 Batch 32/269 - Train Accuracy: 0.6911, Validation Accuracy: 0.6826, Loss: 0.4837 Epoch 5 Batch 33/269 - Train Accuracy: 0.7038, Validation Accuracy: 0.6843, Loss: 0.4774 Epoch 5 Batch 34/269 - Train Accuracy: 0.6834, Validation Accuracy: 0.6830, Loss: 0.4806 Epoch 5 Batch 35/269 - Train Accuracy: 0.6824, Validation Accuracy: 0.6852, Loss: 0.5006 Epoch 5 Batch 36/269 - Train Accuracy: 0.6827, Validation Accuracy: 0.6791, Loss: 0.4853 Epoch 5 Batch 37/269 - Train Accuracy: 0.7068, Validation Accuracy: 0.6803, Loss: 0.4841 Epoch 5 Batch 38/269 - Train Accuracy: 0.6926, Validation Accuracy: 0.6815, Loss: 0.4910 Epoch 5 Batch 39/269 - Train Accuracy: 0.6814, Validation Accuracy: 0.6866, Loss: 0.4792 Epoch 5 Batch 40/269 - Train Accuracy: 0.6785, Validation Accuracy: 0.6824, Loss: 0.5069 Epoch 5 Batch 41/269 - Train Accuracy: 0.6700, Validation Accuracy: 0.6812, Loss: 0.4903 Epoch 5 Batch 42/269 - Train Accuracy: 0.7027, Validation Accuracy: 0.6782, Loss: 0.4654 Epoch 5 Batch 43/269 - Train Accuracy: 0.6764, Validation Accuracy: 0.6851, Loss: 0.4926 Epoch 5 Batch 44/269 - Train Accuracy: 0.6841, Validation Accuracy: 0.6808, Loss: 0.4850 Epoch 5 Batch 45/269 - Train Accuracy: 0.6677, Validation Accuracy: 0.6831, Loss: 0.4977 Epoch 5 Batch 46/269 - Train Accuracy: 0.6689, Validation Accuracy: 0.6816, Loss: 0.4991 Epoch 5 Batch 47/269 - Train Accuracy: 0.7022, Validation Accuracy: 0.6831, Loss: 0.4495 Epoch 5 Batch 48/269 - Train Accuracy: 0.6917, Validation Accuracy: 0.6811, Loss: 0.4733 Epoch 5 Batch 49/269 - Train Accuracy: 0.6694, Validation Accuracy: 0.6783, Loss: 0.4892 Epoch 5 Batch 50/269 - Train Accuracy: 0.6699, Validation Accuracy: 0.6802, Loss: 0.4993 Epoch 5 Batch 51/269 - Train Accuracy: 0.6690, Validation Accuracy: 0.6852, Loss: 0.4854 Epoch 5 Batch 52/269 - Train Accuracy: 0.6734, Validation Accuracy: 0.6930, Loss: 0.4650 Epoch 5 Batch 53/269 - Train Accuracy: 0.6852, Validation Accuracy: 0.6892, Loss: 0.5062 Epoch 5 Batch 54/269 - Train Accuracy: 0.7001, Validation Accuracy: 0.6887, Loss: 0.4958 Epoch 5 Batch 55/269 - Train Accuracy: 0.7048, Validation Accuracy: 0.6879, Loss: 0.4745 Epoch 5 Batch 56/269 - Train Accuracy: 0.6930, Validation Accuracy: 0.6919, Loss: 0.4776 Epoch 5 Batch 57/269 - Train Accuracy: 0.6835, Validation Accuracy: 0.6892, Loss: 0.4891 Epoch 5 Batch 58/269 - Train Accuracy: 0.7083, Validation Accuracy: 0.6919, Loss: 0.4713 Epoch 5 Batch 59/269 - Train Accuracy: 0.7058, Validation Accuracy: 0.6852, Loss: 0.4542 Epoch 5 Batch 60/269 - Train Accuracy: 0.6987, Validation Accuracy: 0.6923, Loss: 0.4583 Epoch 5 Batch 61/269 - Train Accuracy: 0.7139, Validation Accuracy: 0.6901, Loss: 0.4429 Epoch 5 Batch 62/269 - Train Accuracy: 0.7131, Validation Accuracy: 0.6885, Loss: 0.4562 Epoch 5 Batch 63/269 - Train Accuracy: 0.6750, Validation Accuracy: 0.6905, Loss: 0.4781 Epoch 5 Batch 64/269 - Train Accuracy: 0.6903, Validation Accuracy: 0.6918, Loss: 0.4676 Epoch 5 Batch 65/269 - Train Accuracy: 0.6863, Validation Accuracy: 0.6906, Loss: 0.4757 Epoch 5 Batch 66/269 - Train Accuracy: 0.7031, Validation Accuracy: 0.6875, Loss: 0.4599 Epoch 5 Batch 67/269 - Train Accuracy: 0.6899, Validation Accuracy: 0.6986, Loss: 0.4840 Epoch 5 Batch 68/269 - Train Accuracy: 0.6752, Validation Accuracy: 0.6949, Loss: 0.4771 Epoch 5 Batch 69/269 - Train Accuracy: 0.6467, Validation Accuracy: 0.6821, Loss: 0.5238 Epoch 5 Batch 70/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.6812, Loss: 0.4805 Epoch 5 Batch 71/269 - Train Accuracy: 0.6683, Validation Accuracy: 0.6894, Loss: 0.5029 Epoch 5 Batch 72/269 - Train Accuracy: 0.6950, Validation Accuracy: 0.6948, Loss: 0.4676 Epoch 5 Batch 73/269 - Train Accuracy: 0.6844, Validation Accuracy: 0.6972, Loss: 0.4894 Epoch 5 Batch 74/269 - Train Accuracy: 0.6971, Validation Accuracy: 0.6904, Loss: 0.4871 Epoch 5 Batch 75/269 - Train Accuracy: 0.6876, Validation Accuracy: 0.6792, Loss: 0.4674 Epoch 5 Batch 76/269 - Train Accuracy: 0.6816, Validation Accuracy: 0.6858, Loss: 0.4839 Epoch 5 Batch 77/269 - Train Accuracy: 0.6949, Validation Accuracy: 0.6957, Loss: 0.4650 Epoch 5 Batch 78/269 - Train Accuracy: 0.7034, Validation Accuracy: 0.6896, Loss: 0.4742 Epoch 5 Batch 79/269 - Train Accuracy: 0.7041, Validation Accuracy: 0.6898, Loss: 0.4717 Epoch 5 Batch 80/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.6865, Loss: 0.4630 Epoch 5 Batch 81/269 - Train Accuracy: 0.7055, Validation Accuracy: 0.6885, Loss: 0.4904 Epoch 5 Batch 82/269 - Train Accuracy: 0.7094, Validation Accuracy: 0.6891, Loss: 0.4486 Epoch 5 Batch 83/269 - Train Accuracy: 0.6848, Validation Accuracy: 0.6934, Loss: 0.4735 Epoch 5 Batch 84/269 - Train Accuracy: 0.6890, Validation Accuracy: 0.6900, Loss: 0.4628 Epoch 5 Batch 85/269 - Train Accuracy: 0.6958, Validation Accuracy: 0.6907, Loss: 0.4694 Epoch 5 Batch 86/269 - Train Accuracy: 0.7021, Validation Accuracy: 0.6964, Loss: 0.4638 Epoch 5 Batch 87/269 - Train Accuracy: 0.6800, Validation Accuracy: 0.6879, Loss: 0.4981 Epoch 5 Batch 88/269 - Train Accuracy: 0.6839, Validation Accuracy: 0.6857, Loss: 0.4675 Epoch 5 Batch 89/269 - Train Accuracy: 0.6913, Validation Accuracy: 0.6920, Loss: 0.4699 Epoch 5 Batch 90/269 - Train Accuracy: 0.6784, Validation Accuracy: 0.7014, Loss: 0.4947 Epoch 5 Batch 91/269 - Train Accuracy: 0.7124, Validation Accuracy: 0.6996, Loss: 0.4514 Epoch 5 Batch 92/269 - Train Accuracy: 0.6961, Validation Accuracy: 0.6964, Loss: 0.4612 Epoch 5 Batch 93/269 - Train Accuracy: 0.7057, Validation Accuracy: 0.6966, Loss: 0.4471 Epoch 5 Batch 94/269 - Train Accuracy: 0.6862, Validation Accuracy: 0.6984, Loss: 0.4804 Epoch 5 Batch 95/269 - Train Accu