{'dataset': 'MiniImageNet',

'gamma': 0.5,

'gpu': '4',

'init_weights': './saves/initialization/miniimagenet/mini_imagenet_ndf192_rkhs1536_d8_w_label_amdim_cpt.pth',

'lr': 0.0001,

'max_epoch': 100,

'model_type': 'AmdimNet',

'nd': 8,

'ndf': 192,

'query': 15,

'rkhs': 1536,

'save_path': './MINI_ProtoNet_MINI_SSL_SUP_5shot_5way/',

'shot': 5,

'step_size': 10,

'temperature': 128.0,

'way': 5}

using gpu: 4

Using a 128x128 encoder

epoch 1, train 1/100, loss=0.1890 acc=0.9867

epoch 1, train 2/100, loss=0.1918 acc=1.0000

epoch 1, train 3/100, loss=0.2210 acc=0.9867

epoch 1, train 4/100, loss=0.2088 acc=0.9733

epoch 1, train 5/100, loss=0.1522 acc=0.9867

epoch 1, train 6/100, loss=0.1356 acc=0.9867

epoch 1, train 7/100, loss=0.1400 acc=1.0000

epoch 1, train 8/100, loss=0.1324 acc=0.9867

epoch 1, train 9/100, loss=0.1434 acc=1.0000

epoch 1, train 10/100, loss=0.1179 acc=1.0000

epoch 1, train 11/100, loss=0.1134 acc=1.0000

epoch 1, train 12/100, loss=0.0915 acc=1.0000

epoch 1, train 13/100, loss=0.1068 acc=1.0000

epoch 1, train 14/100, loss=0.1090 acc=1.0000

epoch 1, train 15/100, loss=0.1135 acc=0.9867

epoch 1, train 16/100, loss=0.1193 acc=1.0000

epoch 1, train 17/100, loss=0.0716 acc=1.0000

epoch 1, train 18/100, loss=0.0738 acc=1.0000

epoch 1, train 19/100, loss=0.1088 acc=1.0000

epoch 1, train 20/100, loss=0.0812 acc=1.0000

epoch 1, train 21/100, loss=0.1311 acc=0.9867

epoch 1, train 22/100, loss=0.0687 acc=1.0000

epoch 1, train 23/100, loss=0.1054 acc=1.0000

epoch 1, train 24/100, loss=0.0595 acc=1.0000

epoch 1, train 25/100, loss=0.0541 acc=1.0000

epoch 1, train 26/100, loss=0.0665 acc=1.0000

epoch 1, train 27/100, loss=0.0527 acc=1.0000

epoch 1, train 28/100, loss=0.0826 acc=1.0000

epoch 1, train 29/100, loss=0.0892 acc=1.0000

epoch 1, train 30/100, loss=0.0710 acc=1.0000

epoch 1, train 31/100, loss=0.0478 acc=1.0000

epoch 1, train 32/100, loss=0.1330 acc=0.9600

epoch 1, train 33/100, loss=0.0609 acc=1.0000

epoch 1, train 34/100, loss=0.0729 acc=0.9867

epoch 1, train 35/100, loss=0.0669 acc=1.0000

epoch 1, train 36/100, loss=0.0749 acc=1.0000

epoch 1, train 37/100, loss=0.0747 acc=0.9867

epoch 1, train 38/100, loss=0.0520 acc=1.0000

epoch 1, train 39/100, loss=0.0516 acc=1.0000

epoch 1, train 40/100, loss=0.0495 acc=1.0000

epoch 1, train 41/100, loss=0.0526 acc=1.0000

epoch 1, train 42/100, loss=0.0939 acc=0.9867

epoch 1, train 43/100, loss=0.0692 acc=1.0000

epoch 1, train 44/100, loss=0.0711 acc=0.9867

epoch 1, train 45/100, loss=0.0376 acc=1.0000

epoch 1, train 46/100, loss=0.0617 acc=1.0000

epoch 1, train 47/100, loss=0.0788 acc=1.0000

epoch 1, train 48/100, loss=0.0426 acc=1.0000

epoch 1, train 49/100, loss=0.0692 acc=0.9867

epoch 1, train 50/100, loss=0.0520 acc=1.0000

epoch 1, train 51/100, loss=0.0882 acc=0.9867

epoch 1, train 52/100, loss=0.0372 acc=1.0000

epoch 1, train 53/100, loss=0.0404 acc=1.0000

epoch 1, train 54/100, loss=0.0439 acc=1.0000

epoch 1, train 55/100, loss=0.0915 acc=0.9867

epoch 1, train 56/100, loss=0.0351 acc=1.0000

epoch 1, train 57/100, loss=0.0313 acc=1.0000

epoch 1, train 58/100, loss=0.0229 acc=1.0000

epoch 1, train 59/100, loss=0.0597 acc=1.0000

epoch 1, train 60/100, loss=0.0582 acc=1.0000

epoch 1, train 61/100, loss=0.0318 acc=1.0000

epoch 1, train 62/100, loss=0.0730 acc=1.0000

epoch 1, train 63/100, loss=0.0624 acc=1.0000

epoch 1, train 64/100, loss=0.0448 acc=1.0000

epoch 1, train 65/100, loss=0.0270 acc=1.0000

epoch 1, train 66/100, loss=0.0403 acc=1.0000

epoch 1, train 67/100, loss=0.0486 acc=1.0000

epoch 1, train 68/100, loss=0.0410 acc=1.0000

epoch 1, train 69/100, loss=0.0626 acc=1.0000

epoch 1, train 70/100, loss=0.0310 acc=1.0000

epoch 1, train 71/100, loss=0.0343 acc=1.0000

epoch 1, train 72/100, loss=0.0438 acc=1.0000

epoch 1, train 73/100, loss=0.0221 acc=1.0000

epoch 1, train 74/100, loss=0.0453 acc=1.0000

epoch 1, train 75/100, loss=0.0342 acc=1.0000

epoch 1, train 76/100, loss=0.0357 acc=1.0000

epoch 1, train 77/100, loss=0.0492 acc=1.0000

epoch 1, train 78/100, loss=0.0365 acc=1.0000

epoch 1, train 79/100, loss=0.0529 acc=1.0000

epoch 1, train 80/100, loss=0.0377 acc=1.0000

epoch 1, train 81/100, loss=0.0255 acc=1.0000

epoch 1, train 82/100, loss=0.0425 acc=1.0000

epoch 1, train 83/100, loss=0.0214 acc=1.0000

epoch 1, train 84/100, loss=0.0354 acc=1.0000

epoch 1, train 85/100, loss=0.0627 acc=1.0000

epoch 1, train 86/100, loss=0.0418 acc=1.0000

epoch 1, train 87/100, loss=0.0463 acc=1.0000

epoch 1, train 88/100, loss=0.0231 acc=1.0000

epoch 1, train 89/100, loss=0.0461 acc=1.0000

epoch 1, train 90/100, loss=0.0373 acc=1.0000

epoch 1, train 91/100, loss=0.0446 acc=1.0000

epoch 1, train 92/100, loss=0.0483 acc=1.0000

epoch 1, train 93/100, loss=0.0516 acc=1.0000

epoch 1, train 94/100, loss=0.0265 acc=1.0000

epoch 1, train 95/100, loss=0.0189 acc=1.0000

epoch 1, train 96/100, loss=0.0438 acc=1.0000

epoch 1, train 97/100, loss=0.0361 acc=1.0000

epoch 1, train 98/100, loss=0.0315 acc=1.0000

epoch 1, train 99/100, loss=0.0319 acc=1.0000

epoch 1, train 100/100, loss=0.0306 acc=1.0000

best epoch 0, best val acc=0.0000

epoch 1, val, loss=0.0337 acc=0.9992

ETA:5m/8.4h

epoch 2, train 1/100, loss=0.0313 acc=1.0000

epoch 2, train 2/100, loss=0.0364 acc=1.0000

epoch 2, train 3/100, loss=0.0321 acc=1.0000

epoch 2, train 4/100, loss=0.0283 acc=1.0000

epoch 2, train 5/100, loss=0.0495 acc=0.9867

epoch 2, train 6/100, loss=0.0282 acc=1.0000

epoch 2, train 7/100, loss=0.0339 acc=1.0000

epoch 2, train 8/100, loss=0.0336 acc=1.0000

epoch 2, train 9/100, loss=0.0598 acc=1.0000

epoch 2, train 10/100, loss=0.0176 acc=1.0000

epoch 2, train 11/100, loss=0.0695 acc=1.0000

epoch 2, train 12/100, loss=0.0481 acc=1.0000

epoch 2, train 13/100, loss=0.0474 acc=1.0000

epoch 2, train 14/100, loss=0.0318 acc=1.0000

epoch 2, train 15/100, loss=0.0492 acc=1.0000

epoch 2, train 16/100, loss=0.0420 acc=1.0000

epoch 2, train 17/100, loss=0.0192 acc=1.0000

epoch 2, train 18/100, loss=0.0368 acc=1.0000

epoch 2, train 19/100, loss=0.0176 acc=1.0000

epoch 2, train 20/100, loss=0.0183 acc=1.0000

epoch 2, train 21/100, loss=0.0345 acc=1.0000

epoch 2, train 22/100, loss=0.0363 acc=1.0000

epoch 2, train 23/100, loss=0.0151 acc=1.0000

epoch 2, train 24/100, loss=0.0177 acc=1.0000

epoch 2, train 25/100, loss=0.0222 acc=1.0000

epoch 2, train 26/100, loss=0.0350 acc=1.0000

epoch 2, train 27/100, loss=0.0322 acc=1.0000

epoch 2, train 28/100, loss=0.0267 acc=1.0000

epoch 2, train 29/100, loss=0.0275 acc=1.0000

epoch 2, train 30/100, loss=0.0505 acc=1.0000

epoch 2, train 31/100, loss=0.0276 acc=1.0000

epoch 2, train 32/100, loss=0.0371 acc=1.0000

epoch 2, train 33/100, loss=0.0358 acc=1.0000

epoch 2, train 34/100, loss=0.0232 acc=1.0000

epoch 2, train 35/100, loss=0.0268 acc=1.0000

epoch 2, train 36/100, loss=0.0352 acc=1.0000

epoch 2, train 37/100, loss=0.0329 acc=1.0000

epoch 2, train 38/100, loss=0.0451 acc=1.0000

epoch 2, train 39/100, loss=0.0526 acc=1.0000

epoch 2, train 40/100, loss=0.0345 acc=1.0000

epoch 2, train 41/100, loss=0.0594 acc=1.0000

epoch 2, train 42/100, loss=0.0390 acc=1.0000

epoch 2, train 43/100, loss=0.0224 acc=1.0000

epoch 2, train 44/100, loss=0.0558 acc=1.0000

epoch 2, train 45/100, loss=0.0448 acc=1.0000

epoch 2, train 46/100, loss=0.0296 acc=1.0000

epoch 2, train 47/100, loss=0.0224 acc=1.0000

epoch 2, train 48/100, loss=0.0263 acc=1.0000

epoch 2, train 49/100, loss=0.0403 acc=1.0000

epoch 2, train 50/100, loss=0.0308 acc=1.0000

epoch 2, train 51/100, loss=0.0153 acc=1.0000

epoch 2, train 52/100, loss=0.0344 acc=1.0000

epoch 2, train 53/100, loss=0.0455 acc=1.0000

epoch 2, train 54/100, loss=0.0203 acc=1.0000

epoch 2, train 55/100, loss=0.0400 acc=1.0000

epoch 2, train 56/100, loss=0.0594 acc=1.0000

epoch 2, train 57/100, loss=0.0297 acc=1.0000

epoch 2, train 58/100, loss=0.0300 acc=1.0000

epoch 2, train 59/100, loss=0.0398 acc=1.0000

epoch 2, train 60/100, loss=0.0208 acc=1.0000

epoch 2, train 61/100, loss=0.0380 acc=0.9867

epoch 2, train 62/100, loss=0.0363 acc=1.0000

epoch 2, train 63/100, loss=0.0525 acc=0.9867

epoch 2, train 64/100, loss=0.0169 acc=1.0000

epoch 2, train 65/100, loss=0.0213 acc=1.0000

epoch 2, train 66/100, loss=0.0276 acc=1.0000

epoch 2, train 67/100, loss=0.0347 acc=1.0000

epoch 2, train 68/100, loss=0.0209 acc=1.0000

epoch 2, train 69/100, loss=0.0332 acc=1.0000

epoch 2, train 70/100, loss=0.0256 acc=1.0000

epoch 2, train 71/100, loss=0.0178 acc=1.0000

epoch 2, train 72/100, loss=0.0553 acc=1.0000

epoch 2, train 73/100, loss=0.0145 acc=1.0000

epoch 2, train 74/100, loss=0.0398 acc=1.0000

epoch 2, train 75/100, loss=0.0257 acc=1.0000

epoch 2, train 76/100, loss=0.0370 acc=1.0000

epoch 2, train 77/100, loss=0.0264 acc=1.0000

epoch 2, train 78/100, loss=0.0135 acc=1.0000

epoch 2, train 79/100, loss=0.0344 acc=1.0000

epoch 2, train 80/100, loss=0.0393 acc=1.0000

epoch 2, train 81/100, loss=0.0188 acc=1.0000

epoch 2, train 82/100, loss=0.0218 acc=1.0000

epoch 2, train 83/100, loss=0.0350 acc=1.0000

epoch 2, train 84/100, loss=0.0203 acc=1.0000

epoch 2, train 85/100, loss=0.0181 acc=1.0000

epoch 2, train 86/100, loss=0.0135 acc=1.0000

epoch 2, train 87/100, loss=0.0539 acc=1.0000

epoch 2, train 88/100, loss=0.0310 acc=1.0000

epoch 2, train 89/100, loss=0.0273 acc=1.0000

epoch 2, train 90/100, loss=0.0235 acc=1.0000

epoch 2, train 91/100, loss=0.0459 acc=1.0000

epoch 2, train 92/100, loss=0.0276 acc=1.0000

epoch 2, train 93/100, loss=0.0319 acc=1.0000

epoch 2, train 94/100, loss=0.0320 acc=1.0000

epoch 2, train 95/100, loss=0.0265 acc=1.0000

epoch 2, train 96/100, loss=0.0367 acc=1.0000

epoch 2, train 97/100, loss=0.0303 acc=1.0000

epoch 2, train 98/100, loss=0.0339 acc=1.0000

epoch 2, train 99/100, loss=0.0317 acc=1.0000

epoch 2, train 100/100, loss=0.0372 acc=1.0000

best epoch 1, best val acc=0.9992

epoch 2, val, loss=0.0230 acc=0.9994

ETA:10m/8.2h

epoch 3, train 1/100, loss=0.0216 acc=1.0000

epoch 3, train 2/100, loss=0.0138 acc=1.0000

epoch 3, train 3/100, loss=0.0394 acc=1.0000

epoch 3, train 4/100, loss=0.0186 acc=1.0000

epoch 3, train 5/100, loss=0.0233 acc=1.0000

epoch 3, train 6/100, loss=0.0337 acc=1.0000

epoch 3, train 7/100, loss=0.0188 acc=1.0000

epoch 3, train 8/100, loss=0.0392 acc=1.0000

epoch 3, train 9/100, loss=0.0148 acc=1.0000

epoch 3, train 10/100, loss=0.0192 acc=1.0000

epoch 3, train 11/100, loss=0.0348 acc=1.0000

epoch 3, train 12/100, loss=0.0239 acc=1.0000

epoch 3, train 13/100, loss=0.0256 acc=1.0000

epoch 3, train 14/100, loss=0.0210 acc=1.0000

epoch 3, train 15/100, loss=0.0381 acc=1.0000

epoch 3, train 16/100, loss=0.0416 acc=1.0000

epoch 3, train 17/100, loss=0.0193 acc=1.0000

epoch 3, train 18/100, loss=0.0260 acc=1.0000

epoch 3, train 19/100, loss=0.0318 acc=1.0000

epoch 3, train 20/100, loss=0.0308 acc=1.0000

epoch 3, train 21/100, loss=0.0294 acc=1.0000

epoch 3, train 22/100, loss=0.0221 acc=1.0000

epoch 3, train 23/100, loss=0.0234 acc=1.0000

epoch 3, train 24/100, loss=0.0353 acc=1.0000

epoch 3, train 25/100, loss=0.0106 acc=1.0000

epoch 3, train 26/100, loss=0.0253 acc=1.0000

epoch 3, train 27/100, loss=0.0222 acc=1.0000

epoch 3, train 28/100, loss=0.0370 acc=1.0000

epoch 3, train 29/100, loss=0.0181 acc=1.0000

epoch 3, train 30/100, loss=0.0327 acc=1.0000

epoch 3, train 31/100, loss=0.0268 acc=1.0000

epoch 3, train 32/100, loss=0.0505 acc=0.9867

epoch 3, train 33/100, loss=0.0201 acc=1.0000

epoch 3, train 34/100, loss=0.0172 acc=1.0000

epoch 3, train 35/100, loss=0.0091 acc=1.0000

epoch 3, train 36/100, loss=0.0289 acc=1.0000

epoch 3, train 37/100, loss=0.0215 acc=1.0000

epoch 3, train 38/100, loss=0.0208 acc=1.0000

epoch 3, train 39/100, loss=0.0155 acc=1.0000

epoch 3, train 40/100, loss=0.0300 acc=1.0000

epoch 3, train 41/100, loss=0.0271 acc=1.0000

epoch 3, train 42/100, loss=0.0296 acc=1.0000

epoch 3, train 43/100, loss=0.0247 acc=1.0000

epoch 3, train 44/100, loss=0.0175 acc=1.0000

epoch 3, train 45/100, loss=0.0180 acc=1.0000

epoch 3, train 46/100, loss=0.0182 acc=1.0000

epoch 3, train 47/100, loss=0.0295 acc=1.0000

epoch 3, train 48/100, loss=0.0367 acc=0.9867

epoch 3, train 49/100, loss=0.0196 acc=1.0000

epoch 3, train 50/100, loss=0.0321 acc=1.0000

epoch 3, train 51/100, loss=0.0194 acc=1.0000

epoch 3, train 52/100, loss=0.0315 acc=1.0000

epoch 3, train 53/100, loss=0.0373 acc=1.0000

epoch 3, train 54/100, loss=0.0092 acc=1.0000

epoch 3, train 55/100, loss=0.0538 acc=1.0000

epoch 3, train 56/100, loss=0.0292 acc=1.0000

epoch 3, train 57/100, loss=0.0374 acc=1.0000

epoch 3, train 58/100, loss=0.0167 acc=1.0000

epoch 3, train 59/100, loss=0.0271 acc=1.0000

epoch 3, train 60/100, loss=0.0150 acc=1.0000

epoch 3, train 61/100, loss=0.0232 acc=1.0000

epoch 3, train 62/100, loss=0.0107 acc=1.0000

epoch 3, train 63/100, loss=0.0223 acc=1.0000

epoch 3, train 64/100, loss=0.0285 acc=1.0000

epoch 3, train 65/100, loss=0.0122 acc=1.0000

epoch 3, train 66/100, loss=0.0141 acc=1.0000

epoch 3, train 67/100, loss=0.0200 acc=1.0000

epoch 3, train 68/100, loss=0.0241 acc=1.0000

epoch 3, train 69/100, loss=0.0398 acc=1.0000

epoch 3, train 70/100, loss=0.0296 acc=1.0000

epoch 3, train 71/100, loss=0.0409 acc=1.0000

epoch 3, train 72/100, loss=0.0341 acc=1.0000

epoch 3, train 73/100, loss=0.0185 acc=1.0000

epoch 3, train 74/100, loss=0.0260 acc=1.0000

epoch 3, train 75/100, loss=0.0247 acc=1.0000

epoch 3, train 76/100, loss=0.0263 acc=1.0000

epoch 3, train 77/100, loss=0.0236 acc=1.0000

epoch 3, train 78/100, loss=0.0260 acc=1.0000

epoch 3, train 79/100, loss=0.0238 acc=1.0000

epoch 3, train 80/100, loss=0.0255 acc=1.0000

epoch 3, train 81/100, loss=0.0311 acc=1.0000

epoch 3, train 82/100, loss=0.0099 acc=1.0000

epoch 3, train 83/100, loss=0.0159 acc=1.0000

epoch 3, train 84/100, loss=0.0172 acc=1.0000

epoch 3, train 85/100, loss=0.0233 acc=1.0000

epoch 3, train 86/100, loss=0.0440 acc=1.0000

epoch 3, train 87/100, loss=0.0208 acc=1.0000

epoch 3, train 88/100, loss=0.0275 acc=1.0000

epoch 3, train 89/100, loss=0.0313 acc=1.0000

epoch 3, train 90/100, loss=0.0249 acc=1.0000

epoch 3, train 91/100, loss=0.0121 acc=1.0000

epoch 3, train 92/100, loss=0.0084 acc=1.0000

epoch 3, train 93/100, loss=0.0318 acc=1.0000

epoch 3, train 94/100, loss=0.0279 acc=1.0000

epoch 3, train 95/100, loss=0.0211 acc=1.0000

epoch 3, train 96/100, loss=0.0206 acc=1.0000

epoch 3, train 97/100, loss=0.0120 acc=1.0000

epoch 3, train 98/100, loss=0.0574 acc=0.9867

epoch 3, train 99/100, loss=0.0218 acc=1.0000

epoch 3, train 100/100, loss=0.0449 acc=0.9867

best epoch 2, best val acc=0.9994

epoch 3, val, loss=0.0221 acc=0.9992

ETA:15m/8.1h

epoch 4, train 1/100, loss=0.0307 acc=1.0000

epoch 4, train 2/100, loss=0.0193 acc=1.0000

epoch 4, train 3/100, loss=0.0274 acc=1.0000

epoch 4, train 4/100, loss=0.0309 acc=1.0000

epoch 4, train 5/100, loss=0.0184 acc=1.0000

epoch 4, train 6/100, loss=0.0263 acc=1.0000

epoch 4, train 7/100, loss=0.0215 acc=1.0000

epoch 4, train 8/100, loss=0.0161 acc=1.0000

epoch 4, train 9/100, loss=0.0314 acc=1.0000

epoch 4, train 10/100, loss=0.0204 acc=1.0000

epoch 4, train 11/100, loss=0.0238 acc=1.0000

epoch 4, train 12/100, loss=0.0200 acc=1.0000

epoch 4, train 13/100, loss=0.0138 acc=1.0000

epoch 4, train 14/100, loss=0.0227 acc=1.0000

epoch 4, train 15/100, loss=0.0282 acc=1.0000

epoch 4, train 16/100, loss=0.0140 acc=1.0000

epoch 4, train 17/100, loss=0.0181 acc=1.0000

epoch 4, train 18/100, loss=0.0204 acc=1.0000

epoch 4, train 19/100, loss=0.0377 acc=1.0000

epoch 4, train 20/100, loss=0.0264 acc=1.0000

epoch 4, train 21/100, loss=0.0252 acc=1.0000

epoch 4, train 22/100, loss=0.0456 acc=1.0000

epoch 4, train 23/100, loss=0.0124 acc=1.0000

epoch 4, train 24/100, loss=0.0215 acc=1.0000

epoch 4, train 25/100, loss=0.0123 acc=1.0000

epoch 4, train 26/100, loss=0.0117 acc=1.0000

epoch 4, train 27/100, loss=0.0257 acc=1.0000

epoch 4, train 28/100, loss=0.0429 acc=1.0000

epoch 4, train 29/100, loss=0.0424 acc=1.0000

epoch 4, train 30/100, loss=0.0196 acc=1.0000

epoch 4, train 31/100, loss=0.0168 acc=1.0000

epoch 4, train 32/100, loss=0.0188 acc=1.0000

epoch 4, train 33/100, loss=0.0239 acc=1.0000

epoch 4, train 34/100, loss=0.0285 acc=1.0000

epoch 4, train 35/100, loss=0.0187 acc=1.0000

epoch 4, train 36/100, loss=0.0335 acc=1.0000

epoch 4, train 37/100, loss=0.0250 acc=1.0000

epoch 4, train 38/100, loss=0.0366 acc=0.9867

epoch 4, train 39/100, loss=0.0194 acc=1.0000

epoch 4, train 40/100, loss=0.0217 acc=1.0000

epoch 4, train 41/100, loss=0.0170 acc=1.0000

epoch 4, train 42/100, loss=0.0102 acc=1.0000

epoch 4, train 43/100, loss=0.0194 acc=1.0000

epoch 4, train 44/100, loss=0.0242 acc=1.0000

epoch 4, train 45/100, loss=0.0168 acc=1.0000

epoch 4, train 46/100, loss=0.0149 acc=1.0000

epoch 4, train 47/100, loss=0.0164 acc=1.0000

epoch 4, train 48/100, loss=0.0166 acc=1.0000

epoch 4, train 49/100, loss=0.0201 acc=1.0000

epoch 4, train 50/100, loss=0.0123 acc=1.0000

epoch 4, train 51/100, loss=0.0191 acc=1.0000

epoch 4, train 52/100, loss=0.0244 acc=1.0000

epoch 4, train 53/100, loss=0.0703 acc=0.9733

epoch 4, train 54/100, loss=0.0270 acc=1.0000

epoch 4, train 55/100, loss=0.0208 acc=1.0000

epoch 4, train 56/100, loss=0.0299 acc=1.0000

epoch 4, train 57/100, loss=0.0350 acc=1.0000

epoch 4, train 58/100, loss=0.0161 acc=1.0000

epoch 4, train 59/100, loss=0.0142 acc=1.0000

epoch 4, train 60/100, loss=0.0296 acc=1.0000

epoch 4, train 61/100, loss=0.0257 acc=0.9867

epoch 4, train 62/100, loss=0.0234 acc=1.0000

epoch 4, train 63/100, loss=0.0064 acc=1.0000

epoch 4, train 64/100, loss=0.0099 acc=1.0000

epoch 4, train 65/100, loss=0.0331 acc=1.0000

epoch 4, train 66/100, loss=0.0186 acc=1.0000

epoch 4, train 67/100, loss=0.0188 acc=1.0000

epoch 4, train 68/100, loss=0.0154 acc=1.0000

epoch 4, train 69/100, loss=0.0246 acc=1.0000

epoch 4, train 70/100, loss=0.0202 acc=1.0000

epoch 4, train 71/100, loss=0.0102 acc=1.0000

epoch 4, train 72/100, loss=0.0252 acc=1.0000

epoch 4, train 73/100, loss=0.0410 acc=1.0000

epoch 4, train 74/100, loss=0.0180 acc=1.0000

epoch 4, train 75/100, loss=0.0355 acc=1.0000

epoch 4, train 76/100, loss=0.0262 acc=1.0000

epoch 4, train 77/100, loss=0.0192 acc=1.0000

epoch 4, train 78/100, loss=0.0211 acc=1.0000

epoch 4, train 79/100, loss=0.0105 acc=1.0000

epoch 4, train 80/100, loss=0.0184 acc=1.0000

epoch 4, train 81/100, loss=0.0201 acc=1.0000

epoch 4, train 82/100, loss=0.0118 acc=1.0000

epoch 4, train 83/100, loss=0.0206 acc=1.0000

epoch 4, train 84/100, loss=0.0156 acc=1.0000

epoch 4, train 85/100, loss=0.0172 acc=1.0000

epoch 4, train 86/100, loss=0.0154 acc=1.0000

epoch 4, train 87/100, loss=0.0201 acc=1.0000

epoch 4, train 88/100, loss=0.0168 acc=1.0000

epoch 4, train 89/100, loss=0.0144 acc=1.0000

epoch 4, train 90/100, loss=0.0196 acc=1.0000

epoch 4, train 91/100, loss=0.0200 acc=1.0000

epoch 4, train 92/100, loss=0.0183 acc=1.0000

epoch 4, train 93/100, loss=0.0144 acc=1.0000

epoch 4, train 94/100, loss=0.0144 acc=1.0000

epoch 4, train 95/100, loss=0.0142 acc=1.0000

epoch 4, train 96/100, loss=0.0293 acc=0.9867

epoch 4, train 97/100, loss=0.0373 acc=0.9867

epoch 4, train 98/100, loss=0.0320 acc=1.0000

epoch 4, train 99/100, loss=0.0155 acc=1.0000

epoch 4, train 100/100, loss=0.0260 acc=1.0000

best epoch 2, best val acc=0.9994

epoch 4, val, loss=0.0190 acc=0.9995

ETA:19m/8.1h

epoch 5, train 1/100, loss=0.0185 acc=1.0000

epoch 5, train 2/100, loss=0.0266 acc=1.0000

epoch 5, train 3/100, loss=0.0259 acc=1.0000

epoch 5, train 4/100, loss=0.0169 acc=1.0000

epoch 5, train 5/100, loss=0.0179 acc=1.0000

epoch 5, train 6/100, loss=0.0146 acc=1.0000

epoch 5, train 7/100, loss=0.0160 acc=1.0000

epoch 5, train 8/100, loss=0.0240 acc=1.0000

epoch 5, train 9/100, loss=0.0169 acc=1.0000

epoch 5, train 10/100, loss=0.0104 acc=1.0000

epoch 5, train 11/100, loss=0.0058 acc=1.0000

epoch 5, train 12/100, loss=0.0110 acc=1.0000

epoch 5, train 13/100, loss=0.0565 acc=1.0000

epoch 5, train 14/100, loss=0.0248 acc=1.0000

epoch 5, train 15/100, loss=0.0152 acc=1.0000

epoch 5, train 16/100, loss=0.0183 acc=1.0000

epoch 5, train 17/100, loss=0.0212 acc=1.0000

epoch 5, train 18/100, loss=0.0201 acc=1.0000

epoch 5, train 19/100, loss=0.0438 acc=1.0000

epoch 5, train 20/100, loss=0.0123 acc=1.0000

epoch 5, train 21/100, loss=0.0150 acc=1.0000

epoch 5, train 22/100, loss=0.0106 acc=1.0000

epoch 5, train 23/100, loss=0.0279 acc=1.0000

epoch 5, train 24/100, loss=0.0311 acc=1.0000

epoch 5, train 25/100, loss=0.0096 acc=1.0000

epoch 5, train 26/100, loss=0.0302 acc=1.0000

epoch 5, train 27/100, loss=0.0303 acc=1.0000

epoch 5, train 28/100, loss=0.0170 acc=1.0000

epoch 5, train 29/100, loss=0.0119 acc=1.0000

epoch 5, train 30/100, loss=0.0109 acc=1.0000

epoch 5, train 31/100, loss=0.0178 acc=1.0000

epoch 5, train 32/100, loss=0.0216 acc=1.0000

epoch 5, train 33/100, loss=0.0123 acc=1.0000

epoch 5, train 34/100, loss=0.0114 acc=1.0000

epoch 5, train 35/100, loss=0.0105 acc=1.0000

epoch 5, train 36/100, loss=0.0125 acc=1.0000

epoch 5, train 37/100, loss=0.0163 acc=1.0000

epoch 5, train 38/100, loss=0.0355 acc=1.0000

epoch 5, train 39/100, loss=0.0280 acc=1.0000

epoch 5, train 40/100, loss=0.0128 acc=1.0000

epoch 5, train 41/100, loss=0.0179 acc=1.0000

epoch 5, train 42/100, loss=0.0281 acc=1.0000

epoch 5, train 43/100, loss=0.0225 acc=1.0000

epoch 5, train 44/100, loss=0.0115 acc=1.0000

epoch 5, train 45/100, loss=0.0168 acc=1.0000

epoch 5, train 46/100, loss=0.0129 acc=1.0000

epoch 5, train 47/100, loss=0.0158 acc=1.0000

epoch 5, train 48/100, loss=0.0304 acc=1.0000

epoch 5, train 49/100, loss=0.0205 acc=1.0000

epoch 5, train 50/100, loss=0.0227 acc=1.0000

epoch 5, train 51/100, loss=0.0162 acc=1.0000

epoch 5, train 52/100, loss=0.0359 acc=1.0000

epoch 5, train 53/100, loss=0.0266 acc=0.9867

epoch 5, train 54/100, loss=0.0167 acc=1.0000

epoch 5, train 55/100, loss=0.0206 acc=1.0000

epoch 5, train 56/100, loss=0.0180 acc=1.0000

epoch 5, train 57/100, loss=0.0128 acc=1.0000

epoch 5, train 58/100, loss=0.0246 acc=1.0000

epoch 5, train 59/100, loss=0.0288 acc=1.0000

epoch 5, train 60/100, loss=0.0256 acc=1.0000

epoch 5, train 61/100, loss=0.0232 acc=1.0000

epoch 5, train 62/100, loss=0.0203 acc=1.0000

epoch 5, train 63/100, loss=0.0221 acc=1.0000

epoch 5, train 64/100, loss=0.0165 acc=1.0000

epoch 5, train 65/100, loss=0.0149 acc=1.0000

epoch 5, train 66/100, loss=0.0182 acc=1.0000

epoch 5, train 67/100, loss=0.0138 acc=1.0000

epoch 5, train 68/100, loss=0.0144 acc=1.0000

epoch 5, train 69/100, loss=0.0238 acc=1.0000

epoch 5, train 70/100, loss=0.0234 acc=1.0000

epoch 5, train 71/100, loss=0.0139 acc=1.0000

epoch 5, train 72/100, loss=0.0330 acc=1.0000

epoch 5, train 73/100, loss=0.0073 acc=1.0000

epoch 5, train 74/100, loss=0.0218 acc=1.0000

epoch 5, train 75/100, loss=0.0221 acc=1.0000

epoch 5, train 76/100, loss=0.0164 acc=1.0000

epoch 5, train 77/100, loss=0.0304 acc=1.0000

epoch 5, train 78/100, loss=0.0134 acc=1.0000

epoch 5, train 79/100, loss=0.0312 acc=1.0000

epoch 5, train 80/100, loss=0.0119 acc=1.0000

epoch 5, train 81/100, loss=0.0237 acc=1.0000

epoch 5, train 82/100, loss=0.0202 acc=1.0000

epoch 5, train 83/100, loss=0.0307 acc=1.0000

epoch 5, train 84/100, loss=0.0152 acc=1.0000

epoch 5, train 85/100, loss=0.0078 acc=1.0000

epoch 5, train 86/100, loss=0.0358 acc=1.0000

epoch 5, train 87/100, loss=0.0125 acc=1.0000

epoch 5, train 88/100, loss=0.0063 acc=1.0000

epoch 5, train 89/100, loss=0.0158 acc=1.0000

epoch 5, train 90/100, loss=0.0369 acc=1.0000

epoch 5, train 91/100, loss=0.0204 acc=1.0000

epoch 5, train 92/100, loss=0.0218 acc=1.0000

epoch 5, train 93/100, loss=0.0172 acc=1.0000

epoch 5, train 94/100, loss=0.0157 acc=1.0000

epoch 5, train 95/100, loss=0.0131 acc=1.0000

epoch 5, train 96/100, loss=0.0060 acc=1.0000

epoch 5, train 97/100, loss=0.0145 acc=1.0000

epoch 5, train 98/100, loss=0.0124 acc=1.0000

epoch 5, train 99/100, loss=0.0071 acc=1.0000

epoch 5, train 100/100, loss=0.0220 acc=1.0000

best epoch 4, best val acc=0.9995

epoch 5, val, loss=0.0177 acc=0.9993

ETA:24m/8.0h

epoch 6, train 1/100, loss=0.0150 acc=1.0000

epoch 6, train 2/100, loss=0.0101 acc=1.0000

epoch 6, train 3/100, loss=0.0206 acc=1.0000

epoch 6, train 4/100, loss=0.0216 acc=1.0000

epoch 6, train 5/100, loss=0.0119 acc=1.0000

epoch 6, train 6/100, loss=0.0155 acc=1.0000

epoch 6, train 7/100, loss=0.0297 acc=1.0000

epoch 6, train 8/100, loss=0.0226 acc=1.0000

epoch 6, train 9/100, loss=0.0160 acc=1.0000

epoch 6, train 10/100, loss=0.0145 acc=1.0000

epoch 6, train 11/100, loss=0.0260 acc=1.0000

epoch 6, train 12/100, loss=0.0143 acc=1.0000

epoch 6, train 13/100, loss=0.0162 acc=1.0000

epoch 6, train 14/100, loss=0.0176 acc=1.0000

epoch 6, train 15/100, loss=0.0169 acc=1.0000

epoch 6, train 16/100, loss=0.0152 acc=1.0000

epoch 6, train 17/100, loss=0.0207 acc=1.0000

epoch 6, train 18/100, loss=0.0115 acc=1.0000

epoch 6, train 19/100, loss=0.0152 acc=1.0000

epoch 6, train 20/100, loss=0.0155 acc=1.0000

epoch 6, train 21/100, loss=0.0124 acc=1.0000

epoch 6, train 22/100, loss=0.0168 acc=1.0000

epoch 6, train 23/100, loss=0.0176 acc=1.0000

epoch 6, train 24/100, loss=0.0309 acc=1.0000

epoch 6, train 25/100, loss=0.0100 acc=1.0000

epoch 6, train 26/100, loss=0.0406 acc=0.9867

epoch 6, train 27/100, loss=0.0224 acc=1.0000

epoch 6, train 28/100, loss=0.0053 acc=1.0000

epoch 6, train 29/100, loss=0.0127 acc=1.0000

epoch 6, train 30/100, loss=0.0165 acc=1.0000

epoch 6, train 31/100, loss=0.0227 acc=1.0000

epoch 6, train 32/100, loss=0.0100 acc=1.0000

epoch 6, train 33/100, loss=0.0072 acc=1.0000

epoch 6, train 34/100, loss=0.0151 acc=1.0000

epoch 6, train 35/100, loss=0.0120 acc=1.0000

epoch 6, train 36/100, loss=0.0196 acc=1.0000

epoch 6, train 37/100, loss=0.0125 acc=1.0000

epoch 6, train 38/100, loss=0.0061 acc=1.0000

epoch 6, train 39/100, loss=0.0147 acc=1.0000

epoch 6, train 40/100, loss=0.0134 acc=1.0000

epoch 6, train 41/100, loss=0.0176 acc=1.0000

epoch 6, train 42/100, loss=0.0138 acc=1.0000

epoch 6, train 43/100, loss=0.0078 acc=1.0000

epoch 6, train 44/100, loss=0.0277 acc=1.0000

epoch 6, train 45/100, loss=0.0152 acc=1.0000

epoch 6, train 46/100, loss=0.0076 acc=1.0000

epoch 6, train 47/100, loss=0.0105 acc=1.0000

epoch 6, train 48/100, loss=0.0147 acc=1.0000

epoch 6, train 49/100, loss=0.0441 acc=0.9867

epoch 6, train 50/100, loss=0.0220 acc=1.0000

epoch 6, train 51/100, loss=0.0068 acc=1.0000

epoch 6, train 52/100, loss=0.0121 acc=1.0000

epoch 6, train 53/100, loss=0.0201 acc=1.0000

epoch 6, train 54/100, loss=0.0306 acc=1.0000

epoch 6, train 55/100, loss=0.0417 acc=1.0000

epoch 6, train 56/100, loss=0.0135 acc=1.0000

epoch 6, train 57/100, loss=0.0162 acc=1.0000

epoch 6, train 58/100, loss=0.0160 acc=1.0000

epoch 6, train 59/100, loss=0.0140 acc=1.0000

epoch 6, train 60/100, loss=0.0178 acc=1.0000

epoch 6, train 61/100, loss=0.0157 acc=1.0000

epoch 6, train 62/100, loss=0.0249 acc=1.0000

epoch 6, train 63/100, loss=0.0103 acc=1.0000

epoch 6, train 64/100, loss=0.0204 acc=1.0000

epoch 6, train 65/100, loss=0.0347 acc=1.0000

epoch 6, train 66/100, loss=0.0103 acc=1.0000

epoch 6, train 67/100, loss=0.0107 acc=1.0000

epoch 6, train 68/100, loss=0.0110 acc=1.0000

epoch 6, train 69/100, loss=0.0201 acc=1.0000

epoch 6, train 70/100, loss=0.0162 acc=1.0000

epoch 6, train 71/100, loss=0.0303 acc=1.0000

epoch 6, train 72/100, loss=0.0146 acc=1.0000

epoch 6, train 73/100, loss=0.0176 acc=1.0000

epoch 6, train 74/100, loss=0.0109 acc=1.0000

epoch 6, train 75/100, loss=0.0311 acc=1.0000

epoch 6, train 76/100, loss=0.0127 acc=1.0000

epoch 6, train 77/100, loss=0.0157 acc=1.0000

epoch 6, train 78/100, loss=0.0300 acc=1.0000

epoch 6, train 79/100, loss=0.0229 acc=1.0000

epoch 6, train 80/100, loss=0.0103 acc=1.0000

epoch 6, train 81/100, loss=0.0267 acc=0.9867

epoch 6, train 82/100, loss=0.0128 acc=1.0000

epoch 6, train 83/100, loss=0.0188 acc=1.0000

epoch 6, train 84/100, loss=0.0180 acc=1.0000

epoch 6, train 85/100, loss=0.0096 acc=1.0000

epoch 6, train 86/100, loss=0.0124 acc=1.0000

epoch 6, train 87/100, loss=0.0103 acc=1.0000

epoch 6, train 88/100, loss=0.0205 acc=1.0000

epoch 6, train 89/100, loss=0.0156 acc=1.0000

epoch 6, train 90/100, loss=0.0233 acc=1.0000

epoch 6, train 91/100, loss=0.0107 acc=1.0000

epoch 6, train 92/100, loss=0.0087 acc=1.0000

epoch 6, train 93/100, loss=0.0282 acc=1.0000

epoch 6, train 94/100, loss=0.0252 acc=1.0000

epoch 6, train 95/100, loss=0.0232 acc=1.0000

epoch 6, train 96/100, loss=0.0120 acc=1.0000

epoch 6, train 97/100, loss=0.0137 acc=1.0000

epoch 6, train 98/100, loss=0.0231 acc=1.0000

epoch 6, train 99/100, loss=0.0126 acc=1.0000

epoch 6, train 100/100, loss=0.0198 acc=1.0000

best epoch 4, best val acc=0.9995

epoch 6, val, loss=0.0176 acc=0.9993

ETA:29m/8.0h

epoch 7, train 1/100, loss=0.0134 acc=1.0000

epoch 7, train 2/100, loss=0.0269 acc=1.0000

epoch 7, train 3/100, loss=0.0100 acc=1.0000

epoch 7, train 4/100, loss=0.0184 acc=1.0000

epoch 7, train 5/100, loss=0.0141 acc=1.0000

epoch 7, train 6/100, loss=0.0192 acc=1.0000

epoch 7, train 7/100, loss=0.0175 acc=1.0000

epoch 7, train 8/100, loss=0.0141 acc=1.0000

epoch 7, train 9/100, loss=0.0273 acc=1.0000

epoch 7, train 10/100, loss=0.0105 acc=1.0000

epoch 7, train 11/100, loss=0.0224 acc=1.0000

epoch 7, train 12/100, loss=0.0228 acc=0.9867

epoch 7, train 13/100, loss=0.0207 acc=1.0000

epoch 7, train 14/100, loss=0.0186 acc=1.0000

epoch 7, train 15/100, loss=0.0151 acc=1.0000

epoch 7, train 16/100, loss=0.0155 acc=1.0000

epoch 7, train 17/100, loss=0.0242 acc=1.0000

epoch 7, train 18/100, loss=0.0175 acc=1.0000

epoch 7, train 19/100, loss=0.0220 acc=1.0000

epoch 7, train 20/100, loss=0.0188 acc=1.0000

epoch 7, train 21/100, loss=0.0136 acc=1.0000

epoch 7, train 22/100, loss=0.0194 acc=1.0000

epoch 7, train 23/100, loss=0.0136 acc=1.0000

epoch 7, train 24/100, loss=0.0227 acc=1.0000

epoch 7, train 25/100, loss=0.0090 acc=1.0000

epoch 7, train 26/100, loss=0.0103 acc=1.0000

epoch 7, train 27/100, loss=0.0115 acc=1.0000

epoch 7, train 28/100, loss=0.0201 acc=1.0000

epoch 7, train 29/100, loss=0.0093 acc=1.0000

epoch 7, train 30/100, loss=0.0101 acc=1.0000

epoch 7, train 31/100, loss=0.0095 acc=1.0000

epoch 7, train 32/100, loss=0.0103 acc=1.0000

epoch 7, train 33/100, loss=0.0159 acc=1.0000

epoch 7, train 34/100, loss=0.0187 acc=1.0000

epoch 7, train 35/100, loss=0.0288 acc=1.0000

epoch 7, train 36/100, loss=0.0230 acc=1.0000

epoch 7, train 37/100, loss=0.0151 acc=1.0000

epoch 7, train 38/100, loss=0.0166 acc=1.0000

epoch 7, train 39/100, loss=0.0205 acc=1.0000

epoch 7, train 40/100, loss=0.0091 acc=1.0000

epoch 7, train 41/100, loss=0.0195 acc=1.0000

epoch 7, train 42/100, loss=0.0223 acc=1.0000

epoch 7, train 43/100, loss=0.0091 acc=1.0000

epoch 7, train 44/100, loss=0.0154 acc=1.0000

epoch 7, train 45/100, loss=0.0189 acc=1.0000

epoch 7, train 46/100, loss=0.0338 acc=1.0000

epoch 7, train 47/100, loss=0.0108 acc=1.0000

epoch 7, train 48/100, loss=0.0255 acc=1.0000

epoch 7, train 49/100, loss=0.0333 acc=1.0000

epoch 7, train 50/100, loss=0.0182 acc=1.0000

epoch 7, train 51/100, loss=0.0281 acc=1.0000

epoch 7, train 52/100, loss=0.0205 acc=1.0000

epoch 7, train 53/100, loss=0.0229 acc=1.0000

epoch 7, train 54/100, loss=0.0122 acc=1.0000

epoch 7, train 55/100, loss=0.0143 acc=1.0000

epoch 7, train 56/100, loss=0.0103 acc=1.0000

epoch 7, train 57/100, loss=0.0164 acc=1.0000

epoch 7, train 58/100, loss=0.0101 acc=1.0000

epoch 7, train 59/100, loss=0.0118 acc=1.0000

epoch 7, train 60/100, loss=0.0094 acc=1.0000

epoch 7, train 61/100, loss=0.0095 acc=1.0000

epoch 7, train 62/100, loss=0.0123 acc=1.0000

epoch 7, train 63/100, loss=0.0197 acc=1.0000

epoch 7, train 64/100, loss=0.0197 acc=1.0000

epoch 7, train 65/100, loss=0.0101 acc=1.0000

epoch 7, train 66/100, loss=0.0198 acc=1.0000

epoch 7, train 67/100, loss=0.0283 acc=1.0000

epoch 7, train 68/100, loss=0.0108 acc=1.0000

epoch 7, train 69/100, loss=0.0159 acc=1.0000

epoch 7, train 70/100, loss=0.0130 acc=1.0000

epoch 7, train 71/100, loss=0.0091 acc=1.0000

epoch 7, train 72/100, loss=0.0164 acc=1.0000

epoch 7, train 73/100, loss=0.0107 acc=1.0000

epoch 7, train 74/100, loss=0.0270 acc=0.9867

epoch 7, train 75/100, loss=0.0120 acc=1.0000

epoch 7, train 76/100, loss=0.0147 acc=1.0000

epoch 7, train 77/100, loss=0.0236 acc=1.0000

epoch 7, train 78/100, loss=0.0134 acc=1.0000

epoch 7, train 79/100, loss=0.0125 acc=1.0000

epoch 7, train 80/100, loss=0.0079 acc=1.0000

epoch 7, train 81/100, loss=0.0131 acc=1.0000

epoch 7, train 82/100, loss=0.0141 acc=1.0000

epoch 7, train 83/100, loss=0.0096 acc=1.0000

epoch 7, train 84/100, loss=0.0077 acc=1.0000

epoch 7, train 85/100, loss=0.0186 acc=1.0000

epoch 7, train 86/100, loss=0.0081 acc=1.0000

epoch 7, train 87/100, loss=0.0110 acc=1.0000

epoch 7, train 88/100, loss=0.0168 acc=1.0000

epoch 7, train 89/100, loss=0.0282 acc=1.0000

epoch 7, train 90/100, loss=0.0132 acc=1.0000

epoch 7, train 91/100, loss=0.0204 acc=1.0000

epoch 7, train 92/100, loss=0.0107 acc=1.0000

epoch 7, train 93/100, loss=0.0258 acc=1.0000

epoch 7, train 94/100, loss=0.0074 acc=1.0000

epoch 7, train 95/100, loss=0.0224 acc=1.0000

epoch 7, train 96/100, loss=0.0245 acc=1.0000

epoch 7, train 97/100, loss=0.0258 acc=1.0000

epoch 7, train 98/100, loss=0.0194 acc=1.0000

epoch 7, train 99/100, loss=0.0082 acc=1.0000

epoch 7, train 100/100, loss=0.0167 acc=1.0000

best epoch 4, best val acc=0.9995

epoch 7, val, loss=0.0149 acc=0.9995

ETA:34m/8.0h

epoch 8, train 1/100, loss=0.0152 acc=1.0000

epoch 8, train 2/100, loss=0.0056 acc=1.0000

epoch 8, train 3/100, loss=0.0155 acc=1.0000

epoch 8, train 4/100, loss=0.0114 acc=1.0000

epoch 8, train 5/100, loss=0.0268 acc=1.0000

epoch 8, train 6/100, loss=0.0135 acc=1.0000

epoch 8, train 7/100, loss=0.0074 acc=1.0000

epoch 8, train 8/100, loss=0.0157 acc=1.0000

epoch 8, train 9/100, loss=0.0163 acc=1.0000

epoch 8, train 10/100, loss=0.0158 acc=1.0000

epoch 8, train 11/100, loss=0.0091 acc=1.0000

epoch 8, train 12/100, loss=0.0062 acc=1.0000

epoch 8, train 13/100, loss=0.0082 acc=1.0000

epoch 8, train 14/100, loss=0.0165 acc=1.0000

epoch 8, train 15/100, loss=0.0163 acc=1.0000

epoch 8, train 16/100, loss=0.0111 acc=1.0000

epoch 8, train 17/100, loss=0.0102 acc=1.0000

epoch 8, train 18/100, loss=0.0267 acc=1.0000

epoch 8, train 19/100, loss=0.0231 acc=1.0000

epoch 8, train 20/100, loss=0.0160 acc=1.0000

epoch 8, train 21/100, loss=0.0110 acc=1.0000

epoch 8, train 22/100, loss=0.0099 acc=1.0000

epoch 8, train 23/100, loss=0.0128 acc=1.0000

epoch 8, train 24/100, loss=0.0130 acc=1.0000

epoch 8, train 25/100, loss=0.0112 acc=1.0000

epoch 8, train 26/100, loss=0.0120 acc=1.0000

epoch 8, train 27/100, loss=0.0070 acc=1.0000

epoch 8, train 28/100, loss=0.0133 acc=1.0000

epoch 8, train 29/100, loss=0.0117 acc=1.0000

epoch 8, train 30/100, loss=0.0102 acc=1.0000

epoch 8, train 31/100, loss=0.0215 acc=1.0000

epoch 8, train 32/100, loss=0.0166 acc=1.0000

epoch 8, train 33/100, loss=0.0224 acc=1.0000

epoch 8, train 34/100, loss=0.0135 acc=1.0000

epoch 8, train 35/100, loss=0.0303 acc=1.0000

epoch 8, train 36/100, loss=0.0284 acc=1.0000

epoch 8, train 37/100, loss=0.0087 acc=1.0000

epoch 8, train 38/100, loss=0.0125 acc=1.0000

epoch 8, train 39/100, loss=0.0113 acc=1.0000

epoch 8, train 40/100, loss=0.0113 acc=1.0000

epoch 8, train 41/100, loss=0.0089 acc=1.0000

epoch 8, train 42/100, loss=0.0306 acc=0.9867

epoch 8, train 43/100, loss=0.0119 acc=1.0000

epoch 8, train 44/100, loss=0.0193 acc=1.0000

epoch 8, train 45/100, loss=0.0164 acc=1.0000

epoch 8, train 46/100, loss=0.0092 acc=1.0000

epoch 8, train 47/100, loss=0.0113 acc=1.0000

epoch 8, train 48/100, loss=0.0082 acc=1.0000

epoch 8, train 49/100, loss=0.0065 acc=1.0000

epoch 8, train 50/100, loss=0.0107 acc=1.0000

epoch 8, train 51/100, loss=0.0203 acc=1.0000

epoch 8, train 52/100, loss=0.0103 acc=1.0000

epoch 8, train 53/100, loss=0.0116 acc=1.0000

epoch 8, train 54/100, loss=0.0170 acc=1.0000

epoch 8, train 55/100, loss=0.0500 acc=0.9867

epoch 8, train 56/100, loss=0.0144 acc=1.0000

epoch 8, train 57/100, loss=0.0102 acc=1.0000

epoch 8, train 58/100, loss=0.0074 acc=1.0000

epoch 8, train 59/100, loss=0.0218 acc=1.0000

epoch 8, train 60/100, loss=0.0101 acc=1.0000

epoch 8, train 61/100, loss=0.0070 acc=1.0000

epoch 8, train 62/100, loss=0.0182 acc=1.0000

epoch 8, train 63/100, loss=0.0099 acc=1.0000

epoch 8, train 64/100, loss=0.0166 acc=1.0000

epoch 8, train 65/100, loss=0.0357 acc=0.9867

epoch 8, train 66/100, loss=0.0181 acc=1.0000

epoch 8, train 67/100, loss=0.0086 acc=1.0000

epoch 8, train 68/100, loss=0.0161 acc=1.0000

epoch 8, train 69/100, loss=0.0156 acc=1.0000

epoch 8, train 70/100, loss=0.0094 acc=1.0000

epoch 8, train 71/100, loss=0.0182 acc=1.0000

epoch 8, train 72/100, loss=0.0110 acc=1.0000

epoch 8, train 73/100, loss=0.0158 acc=1.0000

epoch 8, train 74/100, loss=0.0134 acc=1.0000

epoch 8, train 75/100, loss=0.0100 acc=1.0000

epoch 8, train 76/100, loss=0.0114 acc=1.0000

epoch 8, train 77/100, loss=0.0060 acc=1.0000

epoch 8, train 78/100, loss=0.0052 acc=1.0000

epoch 8, train 79/100, loss=0.0107 acc=1.0000

epoch 8, train 80/100, loss=0.0154 acc=1.0000

epoch 8, train 81/100, loss=0.0056 acc=1.0000

epoch 8, train 82/100, loss=0.0143 acc=1.0000

epoch 8, train 83/100, loss=0.0093 acc=1.0000

epoch 8, train 84/100, loss=0.0146 acc=1.0000

epoch 8, train 85/100, loss=0.0205 acc=1.0000

epoch 8, train 86/100, loss=0.0093 acc=1.0000

epoch 8, train 87/100, loss=0.0145 acc=1.0000

epoch 8, train 88/100, loss=0.0195 acc=1.0000

epoch 8, train 89/100, loss=0.0067 acc=1.0000

epoch 8, train 90/100, loss=0.0098 acc=1.0000

epoch 8, train 91/100, loss=0.0124 acc=1.0000

epoch 8, train 92/100, loss=0.0147 acc=1.0000

epoch 8, train 93/100, loss=0.0251 acc=1.0000

epoch 8, train 94/100, loss=0.0072 acc=1.0000

epoch 8, train 95/100, loss=0.0207 acc=1.0000

epoch 8, train 96/100, loss=0.0117 acc=1.0000

epoch 8, train 97/100, loss=0.0114 acc=1.0000

epoch 8, train 98/100, loss=0.0203 acc=1.0000

epoch 8, train 99/100, loss=0.0075 acc=1.0000

epoch 8, train 100/100, loss=0.0134 acc=1.0000

best epoch 4, best val acc=0.9995

epoch 8, val, loss=0.0153 acc=0.9996

ETA:38m/8.0h

epoch 9, train 1/100, loss=0.0115 acc=1.0000

epoch 9, train 2/100, loss=0.0186 acc=1.0000

epoch 9, train 3/100, loss=0.0378 acc=0.9867

epoch 9, train 4/100, loss=0.0176 acc=1.0000

epoch 9, train 5/100, loss=0.0053 acc=1.0000

epoch 9, train 6/100, loss=0.0108 acc=1.0000

epoch 9, train 7/100, loss=0.0077 acc=1.0000

epoch 9, train 8/100, loss=0.0174 acc=1.0000

epoch 9, train 9/100, loss=0.0200 acc=1.0000

epoch 9, train 10/100, loss=0.0192 acc=1.0000

epoch 9, train 11/100, loss=0.0298 acc=1.0000

epoch 9, train 12/100, loss=0.0344 acc=1.0000

epoch 9, train 13/100, loss=0.0108 acc=1.0000

epoch 9, train 14/100, loss=0.0238 acc=1.0000

epoch 9, train 15/100, loss=0.0162 acc=1.0000

epoch 9, train 16/100, loss=0.0132 acc=1.0000

epoch 9, train 17/100, loss=0.0379 acc=1.0000

epoch 9, train 18/100, loss=0.0146 acc=1.0000

epoch 9, train 19/100, loss=0.0124 acc=1.0000

epoch 9, train 20/100, loss=0.0067 acc=1.0000

epoch 9, train 21/100, loss=0.0056 acc=1.0000

epoch 9, train 22/100, loss=0.0125 acc=1.0000

epoch 9, train 23/100, loss=0.0096 acc=1.0000

epoch 9, train 24/100, loss=0.0278 acc=1.0000

epoch 9, train 25/100, loss=0.0147 acc=1.0000

epoch 9, train 26/100, loss=0.0274 acc=1.0000

epoch 9, train 27/100, loss=0.0281 acc=1.0000

epoch 9, train 28/100, loss=0.0220 acc=0.9867

epoch 9, train 29/100, loss=0.0173 acc=1.0000

epoch 9, train 30/100, loss=0.0060 acc=1.0000

epoch 9, train 31/100, loss=0.0123 acc=1.0000

epoch 9, train 32/100, loss=0.0106 acc=1.0000

epoch 9, train 33/100, loss=0.0132 acc=1.0000

epoch 9, train 34/100, loss=0.0281 acc=1.0000

epoch 9, train 35/100, loss=0.0418 acc=0.9867

epoch 9, train 36/100, loss=0.0061 acc=1.0000

epoch 9, train 37/100, loss=0.0079 acc=1.0000

epoch 9, train 38/100, loss=0.0123 acc=1.0000

epoch 9, train 39/100, loss=0.0157 acc=1.0000

epoch 9, train 40/100, loss=0.0205 acc=1.0000

epoch 9, train 41/100, loss=0.0143 acc=1.0000

epoch 9, train 42/100, loss=0.0167 acc=1.0000

epoch 9, train 43/100, loss=0.0104 acc=1.0000

epoch 9, train 44/100, loss=0.0126 acc=1.0000

epoch 9, train 45/100, loss=0.0101 acc=1.0000

epoch 9, train 46/100, loss=0.0112 acc=1.0000

epoch 9, train 47/100, loss=0.0115 acc=1.0000

epoch 9, train 48/100, loss=0.0130 acc=1.0000

epoch 9, train 49/100, loss=0.0446 acc=1.0000

epoch 9, train 50/100, loss=0.0169 acc=1.0000

epoch 9, train 51/100, loss=0.0130 acc=1.0000

epoch 9, train 52/100, loss=0.0165 acc=1.0000

epoch 9, train 53/100, loss=0.0134 acc=1.0000

epoch 9, train 54/100, loss=0.0085 acc=1.0000

epoch 9, train 55/100, loss=0.0106 acc=1.0000

epoch 9, train 56/100, loss=0.0063 acc=1.0000

epoch 9, train 57/100, loss=0.0205 acc=1.0000

epoch 9, train 58/100, loss=0.0197 acc=1.0000

epoch 9, train 59/100, loss=0.0175 acc=1.0000

epoch 9, train 60/100, loss=0.0069 acc=1.0000

epoch 9, train 61/100, loss=0.0120 acc=1.0000

epoch 9, train 62/100, loss=0.0070 acc=1.0000

epoch 9, train 63/100, loss=0.0082 acc=1.0000

epoch 9, train 64/100, loss=0.0100 acc=1.0000

epoch 9, train 65/100, loss=0.0217 acc=1.0000

epoch 9, train 66/100, loss=0.0118 acc=1.0000

epoch 9, train 67/100, loss=0.0062 acc=1.0000

epoch 9, train 68/100, loss=0.0339 acc=0.9867

epoch 9, train 69/100, loss=0.0144 acc=1.0000

epoch 9, train 70/100, loss=0.0136 acc=1.0000

epoch 9, train 71/100, loss=0.0078 acc=1.0000

epoch 9, train 72/100, loss=0.0161 acc=1.0000

epoch 9, train 73/100, loss=0.0117 acc=1.0000

epoch 9, train 74/100, loss=0.0318 acc=1.0000

epoch 9, train 75/100, loss=0.0129 acc=1.0000

epoch 9, train 76/100, loss=0.0089 acc=1.0000

epoch 9, train 77/100, loss=0.0078 acc=1.0000

epoch 9, train 78/100, loss=0.0140 acc=1.0000

epoch 9, train 79/100, loss=0.0063 acc=1.0000

epoch 9, train 80/100, loss=0.0200 acc=1.0000

epoch 9, train 81/100, loss=0.0134 acc=1.0000

epoch 9, train 82/100, loss=0.0246 acc=1.0000

epoch 9, train 83/100, loss=0.0065 acc=1.0000

epoch 9, train 84/100, loss=0.0150 acc=1.0000

epoch 9, train 85/100, loss=0.0119 acc=1.0000

epoch 9, train 86/100, loss=0.0143 acc=1.0000

epoch 9, train 87/100, loss=0.0117 acc=1.0000

epoch 9, train 88/100, loss=0.0259 acc=1.0000

epoch 9, train 89/100, loss=0.0129 acc=1.0000

epoch 9, train 90/100, loss=0.0221 acc=1.0000

epoch 9, train 91/100, loss=0.0137 acc=1.0000

epoch 9, train 92/100, loss=0.0059 acc=1.0000

epoch 9, train 93/100, loss=0.0145 acc=1.0000

epoch 9, train 94/100, loss=0.0113 acc=1.0000

epoch 9, train 95/100, loss=0.0143 acc=1.0000

epoch 9, train 96/100, loss=0.0159 acc=1.0000

epoch 9, train 97/100, loss=0.0136 acc=1.0000

epoch 9, train 98/100, loss=0.0101 acc=1.0000

epoch 9, train 99/100, loss=0.0133 acc=1.0000

epoch 9, train 100/100, loss=0.0160 acc=1.0000

best epoch 8, best val acc=0.9996

epoch 9, val, loss=0.0152 acc=0.9994

ETA:43m/8.0h

epoch 10, train 1/100, loss=0.0196 acc=1.0000

epoch 10, train 2/100, loss=0.0198 acc=1.0000

epoch 10, train 3/100, loss=0.0069 acc=1.0000

epoch 10, train 4/100, loss=0.0099 acc=1.0000

epoch 10, train 5/100, loss=0.0139 acc=1.0000

epoch 10, train 6/100, loss=0.0079 acc=1.0000

epoch 10, train 7/100, loss=0.0328 acc=1.0000

epoch 10, train 8/100, loss=0.0118 acc=1.0000

epoch 10, train 9/100, loss=0.0181 acc=1.0000

epoch 10, train 10/100, loss=0.0107 acc=1.0000

epoch 10, train 11/100, loss=0.0178 acc=1.0000

epoch 10, train 12/100, loss=0.0064 acc=1.0000

epoch 10, train 13/100, loss=0.0096 acc=1.0000

epoch 10, train 14/100, loss=0.0038 acc=1.0000

epoch 10, train 15/100, loss=0.0241 acc=1.0000

epoch 10, train 16/100, loss=0.0087 acc=1.0000

epoch 10, train 17/100, loss=0.0284 acc=1.0000

epoch 10, train 18/100, loss=0.0213 acc=1.0000

epoch 10, train 19/100, loss=0.0169 acc=1.0000

epoch 10, train 20/100, loss=0.0186 acc=1.0000

epoch 10, train 21/100, loss=0.0187 acc=1.0000

epoch 10, train 22/100, loss=0.0077 acc=1.0000

epoch 10, train 23/100, loss=0.0113 acc=1.0000

epoch 10, train 24/100, loss=0.0305 acc=1.0000

epoch 10, train 25/100, loss=0.0041 acc=1.0000

epoch 10, train 26/100, loss=0.0100 acc=1.0000

epoch 10, train 27/100, loss=0.0101 acc=1.0000

epoch 10, train 28/100, loss=0.0120 acc=1.0000

epoch 10, train 29/100, loss=0.0368 acc=0.9867

epoch 10, train 30/100, loss=0.0123 acc=1.0000

epoch 10, train 31/100, loss=0.0100 acc=1.0000

epoch 10, train 32/100, loss=0.0222 acc=1.0000

epoch 10, train 33/100, loss=0.0255 acc=1.0000

epoch 10, train 34/100, loss=0.0293 acc=1.0000

epoch 10, train 35/100, loss=0.0156 acc=1.0000

epoch 10, train 36/100, loss=0.0124 acc=1.0000

epoch 10, train 37/100, loss=0.0188 acc=1.0000

epoch 10, train 38/100, loss=0.0047 acc=1.0000

epoch 10, train 39/100, loss=0.0205 acc=1.0000

epoch 10, train 40/100, loss=0.0157 acc=1.0000

epoch 10, train 41/100, loss=0.0101 acc=1.0000

epoch 10, train 42/100, loss=0.0206 acc=1.0000

epoch 10, train 43/100, loss=0.0095 acc=1.0000

epoch 10, train 44/100, loss=0.0106 acc=1.0000

epoch 10, train 45/100, loss=0.0063 acc=1.0000

epoch 10, train 46/100, loss=0.0096 acc=1.0000

epoch 10, train 47/100, loss=0.0118 acc=1.0000

epoch 10, train 48/100, loss=0.0251 acc=1.0000

epoch 10, train 49/100, loss=0.0138 acc=1.0000

epoch 10, train 50/100, loss=0.0217 acc=1.0000

epoch 10, train 51/100, loss=0.0098 acc=1.0000

epoch 10, train 52/100, loss=0.0319 acc=0.9867

epoch 10, train 53/100, loss=0.0168 acc=1.0000

epoch 10, train 54/100, loss=0.0112 acc=1.0000

epoch 10, train 55/100, loss=0.0114 acc=1.0000