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sejongresearch / FlowerClassification

aicoco 팀, 꽃분류기 (2019)
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[CNN] 20000장 돌렸을 때! #30

Open ghost opened 5 years ago

ghost commented 5 years ago

19998 10 12000 12000 Iteration = 0 Loss = 2.005546 Train Accuracy = 0.31 Test Accuracy = 0.2675 Iteration = 2 Loss = 1.8030236 Train Accuracy = 0.41 Test Accuracy = 0.34016666 Iteration = 4 Loss = 1.6428862 Train Accuracy = 0.42 Test Accuracy = 0.39058334 Iteration = 6 Loss = 1.5052179 Train Accuracy = 0.5 Test Accuracy = 0.43916667 Iteration = 8 Loss = 1.3704329 Train Accuracy = 0.57 Test Accuracy = 0.47216666 Iteration = 10 Loss = 1.2523576 Train Accuracy = 0.6 Test Accuracy = 0.49666667 Iteration = 12 Loss = 1.1283431 Train Accuracy = 0.65 Test Accuracy = 0.52141666 Iteration = 14 Loss = 0.98776364 Train Accuracy = 0.68 Test Accuracy = 0.5435 Iteration = 16 Loss = 0.9106985 Train Accuracy = 0.7 Test Accuracy = 0.54425 Iteration = 18 Loss = 0.82278687 Train Accuracy = 0.72 Test Accuracy = 0.5620833 Iteration = 20 Loss = 0.8912075 Train Accuracy = 0.71 Test Accuracy = 0.5516667 Iteration = 22 Loss = 0.6730396 Train Accuracy = 0.78 Test Accuracy = 0.582 Iteration = 24 Loss = 0.5897381 Train Accuracy = 0.8 Test Accuracy = 0.59491664 Iteration = 26 Loss = 0.58593696 Train Accuracy = 0.81 Test Accuracy = 0.56191665 Iteration = 28 Loss = 0.44836357 Train Accuracy = 0.83 Test Accuracy = 0.56083333 Iteration = 30 Loss = 0.35333645 Train Accuracy = 0.88 Test Accuracy = 0.60433334 Iteration = 32 Loss = 0.41846797 Train Accuracy = 0.87 Test Accuracy = 0.5955833 Iteration = 34 Loss = 0.2648316 Train Accuracy = 0.94 Test Accuracy = 0.621 Iteration = 36 Loss = 0.2043336 Train Accuracy = 0.97 Test Accuracy = 0.65108335 Iteration = 38 Loss = 0.1770903 Train Accuracy = 0.97 Test Accuracy = 0.6379167 Iteration = 40 Loss = 0.18060745 Train Accuracy = 0.99 Test Accuracy = 0.63783336 Iteration = 42 Loss = 0.15537864 Train Accuracy = 0.96 Test Accuracy = 0.6523333 Iteration = 44 Loss = 0.1290608 Train Accuracy = 0.98 Test Accuracy = 0.66075 Iteration = 46 Loss = 0.09006636 Train Accuracy = 0.99 Test Accuracy = 0.67841667 Iteration = 48 Loss = 0.063682154 Train Accuracy = 0.99 Test Accuracy = 0.69133335 Iteration = 50 Loss = 0.06206518 Train Accuracy = 0.99 Test Accuracy = 0.6791667 Iteration = 52 Loss = 0.09286842 Train Accuracy = 0.97 Test Accuracy = 0.6663333 Iteration = 54 Loss = 0.054299865 Train Accuracy = 0.99 Test Accuracy = 0.6885833 Iteration = 56 Loss = 0.040596128 Train Accuracy = 1.0 Test Accuracy = 0.68416667 Iteration = 58 Loss = 0.04732909 Train Accuracy = 0.99 Test Accuracy = 0.69741666 Iteration = 60 Loss = 0.038135704 Train Accuracy = 0.99 Test Accuracy = 0.70075 Iteration = 62 Loss = 0.02262475 Train Accuracy = 1.0 Test Accuracy = 0.7025833 Iteration = 64 Loss = 0.025792815 Train Accuracy = 1.0 Test Accuracy = 0.6849167 Iteration = 66 Loss = 0.019186763 Train Accuracy = 1.0 Test Accuracy = 0.69558334 Iteration = 68 Loss = 0.02293426 Train Accuracy = 1.0 Test Accuracy = 0.6845 Iteration = 70 Loss = 0.019603238 Train Accuracy = 1.0 Test Accuracy = 0.7055 Iteration = 72 Loss = 0.0116908075 Train Accuracy = 1.0 Test Accuracy = 0.69883335 Iteration = 74 Loss = 0.014497156 Train Accuracy = 1.0 Test Accuracy = 0.69133335 Iteration = 76 Loss = 0.008642833 Train Accuracy = 1.0 Test Accuracy = 0.70066667 Iteration = 78 Loss = 0.008260395 Train Accuracy = 1.0 Test Accuracy = 0.6906667 Iteration = 80 Loss = 0.019451203 Train Accuracy = 1.0 Test Accuracy = 0.68808335 Iteration = 82 Loss = 0.020822654 Train Accuracy = 1.0 Test Accuracy = 0.67825 Iteration = 84 Loss = 0.027875774 Train Accuracy = 1.0 Test Accuracy = 0.6699167 Iteration = 86 Loss = 0.018393626 Train Accuracy = 0.99 Test Accuracy = 0.69775 Iteration = 88 Loss = 0.0063921427 Train Accuracy = 1.0 Test Accuracy = 0.70125 Iteration = 90 Loss = 0.004525685 Train Accuracy = 1.0 Test Accuracy = 0.707 Iteration = 92 Loss = 0.00885306 Train Accuracy = 1.0 Test Accuracy = 0.70175 Iteration = 94 Loss = 0.013055734 Train Accuracy = 1.0 Test Accuracy = 0.7021667 Iteration = 96 Loss = 0.023522267 Train Accuracy = 0.99 Test Accuracy = 0.68041664 Iteration = 98 Loss = 0.008269686 Train Accuracy = 1.0 Test Accuracy = 0.6904167 Iteration = 100 Loss = 0.007759842 Train Accuracy = 1.0 Test Accuracy = 0.69983333 Iteration = 102 Loss = 0.0045942813 Train Accuracy = 1.0 Test Accuracy = 0.6943333 Iteration = 104 Loss = 0.0064175953 Train Accuracy = 1.0 Test Accuracy = 0.703 Iteration = 106 Loss = 0.0074505163 Train Accuracy = 1.0 Test Accuracy = 0.70358336 Iteration = 108 Loss = 0.00330813 Train Accuracy = 1.0 Test Accuracy = 0.7046667 Iteration = 110 Loss = 0.0045511145 Train Accuracy = 1.0 Test Accuracy = 0.70641667 Iteration = 112 Loss = 0.011340556 Train Accuracy = 1.0 Test Accuracy = 0.69816667 Iteration = 114 Loss = 0.0038096174 Train Accuracy = 1.0 Test Accuracy = 0.7029167 Iteration = 116 Loss = 0.016044293 Train Accuracy = 1.0 Test Accuracy = 0.7015833 Iteration = 118 Loss = 0.009628533 Train Accuracy = 1.0 Test Accuracy = 0.7075833 Iteration = 120 Loss = 0.00625882 Train Accuracy = 1.0 Test Accuracy = 0.7035 Iteration = 122 Loss = 0.0041630114 Train Accuracy = 1.0 Test Accuracy = 0.70525 Iteration = 124 Loss = 0.0037424727 Train Accuracy = 1.0 Test Accuracy = 0.7004167 Iteration = 126 Loss = 0.017003292 Train Accuracy = 1.0 Test Accuracy = 0.68475 Iteration = 128 Loss = 0.002397206 Train Accuracy = 1.0 Test Accuracy = 0.70475 Iteration = 130 Loss = 0.0011467382 Train Accuracy = 1.0 Test Accuracy = 0.70666665 Iteration = 132 Loss = 0.00016340015 Train Accuracy = 1.0 Test Accuracy = 0.71133333 Iteration = 134 Loss = 9.968074e-05 Train Accuracy = 1.0 Test Accuracy = 0.7115833 Iteration = 136 Loss = 8.039947e-05 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 138 Loss = 6.921825e-05 Train Accuracy = 1.0 Test Accuracy = 0.71183336 Iteration = 140 Loss = 6.153647e-05 Train Accuracy = 1.0 Test Accuracy = 0.7119167 Iteration = 142 Loss = 5.545607e-05 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 144 Loss = 5.0024362e-05 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 146 Loss = 4.5237924e-05 Train Accuracy = 1.0 Test Accuracy = 0.713 Iteration = 148 Loss = 4.1294297e-05 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 150 Loss = 3.8183232e-05 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 152 Loss = 3.4979374e-05 Train Accuracy = 1.0 Test Accuracy = 0.71225 Iteration = 154 Loss = 3.1650587e-05 Train Accuracy = 1.0 Test Accuracy = 0.71258336 Iteration = 156 Loss = 2.8667e-05 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 158 Loss = 2.5995369e-05 Train Accuracy = 1.0 Test Accuracy = 0.7129167 Iteration = 160 Loss = 2.3588153e-05 Train Accuracy = 1.0 Test Accuracy = 0.71316665 Iteration = 162 Loss = 2.135364e-05 Train Accuracy = 1.0 Test Accuracy = 0.7134167 Iteration = 164 Loss = 1.937171e-05 Train Accuracy = 1.0 Test Accuracy = 0.7135 Iteration = 166 Loss = 1.7183624e-05 Train Accuracy = 1.0 Test Accuracy = 0.7135 Iteration = 168 Loss = 1.5242128e-05 Train Accuracy = 1.0 Test Accuracy = 0.7136667 Iteration = 170 Loss = 1.3527006e-05 Train Accuracy = 1.0 Test Accuracy = 0.71358335 Iteration = 172 Loss = 1.2068098e-05 Train Accuracy = 1.0 Test Accuracy = 0.71358335 Iteration = 174 Loss = 1.0841583e-05 Train Accuracy = 1.0 Test Accuracy = 0.71375 Iteration = 176 Loss = 9.749738e-06 Train Accuracy = 1.0 Test Accuracy = 0.71375 Iteration = 178 Loss = 8.651915e-06 Train Accuracy = 1.0 Test Accuracy = 0.71383333 Iteration = 180 Loss = 7.756717e-06 Train Accuracy = 1.0 Test Accuracy = 0.71433336 Iteration = 182 Loss = 6.8984664e-06 Train Accuracy = 1.0 Test Accuracy = 0.71425 Iteration = 184 Loss = 6.1963574e-06 Train Accuracy = 1.0 Test Accuracy = 0.71433336 Iteration = 186 Loss = 5.570532e-06 Train Accuracy = 1.0 Test Accuracy = 0.7140833 Iteration = 188 Loss = 4.988814e-06 Train Accuracy = 1.0 Test Accuracy = 0.71425 Iteration = 190 Loss = 4.471466e-06 Train Accuracy = 1.0 Test Accuracy = 0.71416664 Iteration = 192 Loss = 4.0089485e-06 Train Accuracy = 1.0 Test Accuracy = 0.7140833 Iteration = 194 Loss = 3.5464307e-06 Train Accuracy = 1.0 Test Accuracy = 0.7144167 Iteration = 196 Loss = 3.1745067e-06 Train Accuracy = 1.0 Test Accuracy = 0.71466666 Iteration = 198 Loss = 2.8180789e-06 Train Accuracy = 1.0 Test Accuracy = 0.71466666 Iteration = 200 Loss = 2.4986034e-06 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 202 Loss = 2.2196589e-06 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 204 Loss = 1.9776678e-06 Train Accuracy = 1.0 Test Accuracy = 0.71508336 Iteration = 206 Loss = 1.7523654e-06 Train Accuracy = 1.0 Test Accuracy = 0.71541667 Iteration = 208 Loss = 1.5556726e-06 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 210 Loss = 1.3804369e-06 Train Accuracy = 1.0 Test Accuracy = 0.71491665 Iteration = 212 Loss = 1.2230821e-06 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 214 Loss = 1.0848005e-06 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 216 Loss = 9.632078e-07 Train Accuracy = 1.0 Test Accuracy = 0.71525 Iteration = 218 Loss = 8.475755e-07 Train Accuracy = 1.0 Test Accuracy = 0.71533334 Iteration = 220 Loss = 7.486324e-07 Train Accuracy = 1.0 Test Accuracy = 0.71533334 Iteration = 222 Loss = 6.723388e-07 Train Accuracy = 1.0 Test Accuracy = 0.71525 Iteration = 224 Loss = 5.912769e-07 Train Accuracy = 1.0 Test Accuracy = 0.71491665 Iteration = 226 Loss = 5.2690405e-07 Train Accuracy = 1.0 Test Accuracy = 0.71466666 Iteration = 228 Loss = 4.661075e-07 Train Accuracy = 1.0 Test Accuracy = 0.71475 Iteration = 230 Loss = 4.1127146e-07 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 232 Loss = 3.6954827e-07 Train Accuracy = 1.0 Test Accuracy = 0.71508336 Iteration = 234 Loss = 3.337856e-07 Train Accuracy = 1.0 Test Accuracy = 0.7151667 Iteration = 236 Loss = 2.9444664e-07 Train Accuracy = 1.0 Test Accuracy = 0.71533334 Iteration = 238 Loss = 2.610681e-07 Train Accuracy = 1.0 Test Accuracy = 0.7155833 Iteration = 240 Loss = 2.2768955e-07 Train Accuracy = 1.0 Test Accuracy = 0.7155 Iteration = 242 Loss = 2.0265563e-07 Train Accuracy = 1.0 Test Accuracy = 0.7155 Iteration = 244 Loss = 1.8000591e-07 Train Accuracy = 1.0 Test Accuracy = 0.71525 Iteration = 246 Loss = 1.6093244e-07 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 248 Loss = 1.4424316e-07 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 250 Loss = 1.263618e-07 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 252 Loss = 1.0967251e-07 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 254 Loss = 1.00135765e-07 Train Accuracy = 1.0 Test Accuracy = 0.71491665 Iteration = 256 Loss = 8.940694e-08 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 258 Loss = 7.629393e-08 Train Accuracy = 1.0 Test Accuracy = 0.7145 Iteration = 260 Loss = 6.794928e-08 Train Accuracy = 1.0 Test Accuracy = 0.7148333 Iteration = 262 Loss = 5.9604634e-08 Train Accuracy = 1.0 Test Accuracy = 0.7148333 Iteration = 264 Loss = 5.4836264e-08 Train Accuracy = 1.0 Test Accuracy = 0.71475 Iteration = 266 Loss = 4.6491614e-08 Train Accuracy = 1.0 Test Accuracy = 0.71466666 Iteration = 268 Loss = 4.0531155e-08 Train Accuracy = 1.0 Test Accuracy = 0.71475 Iteration = 270 Loss = 3.3378598e-08 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 272 Loss = 3.099441e-08 Train Accuracy = 1.0 Test Accuracy = 0.71508336 Iteration = 274 Loss = 2.8610225e-08 Train Accuracy = 1.0 Test Accuracy = 0.7151667 Iteration = 276 Loss = 2.145767e-08 Train Accuracy = 1.0 Test Accuracy = 0.715 Iteration = 278 Loss = 2.0265578e-08 Train Accuracy = 1.0 Test Accuracy = 0.71466666 Iteration = 280 Loss = 1.7881392e-08 Train Accuracy = 1.0 Test Accuracy = 0.71433336 Iteration = 282 Loss = 1.7881392e-08 Train Accuracy = 1.0 Test Accuracy = 0.7136667 Iteration = 284 Loss = 1.3113021e-08 Train Accuracy = 1.0 Test Accuracy = 0.71358335 Iteration = 286 Loss = 1.1920928e-08 Train Accuracy = 1.0 Test Accuracy = 0.71325 Iteration = 288 Loss = 1.0728835e-08 Train Accuracy = 1.0 Test Accuracy = 0.71325 Iteration = 290 Loss = 1.0728835e-08 Train Accuracy = 1.0 Test Accuracy = 0.7129167 Iteration = 292 Loss = 1.1920928e-08 Train Accuracy = 1.0 Test Accuracy = 0.7135 Iteration = 294 Loss = 8.344649e-09 Train Accuracy = 1.0 Test Accuracy = 0.7133333 Iteration = 296 Loss = 7.1525568e-09 Train Accuracy = 1.0 Test Accuracy = 0.7134167 Iteration = 298 Loss = 7.1525568e-09 Train Accuracy = 1.0 Test Accuracy = 0.713 Iteration = 300 Loss = 5.960464e-09 Train Accuracy = 1.0 Test Accuracy = 0.7133333 Iteration = 302 Loss = 4.7683715e-09 Train Accuracy = 1.0 Test Accuracy = 0.7140833 Iteration = 304 Loss = 8.344649e-09 Train Accuracy = 1.0 Test Accuracy = 0.71375 Iteration = 306 Loss = 8.344649e-09 Train Accuracy = 1.0 Test Accuracy = 0.7133333 Iteration = 308 Loss = 7.1525568e-09 Train Accuracy = 1.0 Test Accuracy = 0.7140833 Iteration = 310 Loss = 0.16611902 Train Accuracy = 0.94 Test Accuracy = 0.6494167 Iteration = 312 Loss = 0.004826066 Train Accuracy = 1.0 Test Accuracy = 0.70841664 Iteration = 314 Loss = 0.0005419754 Train Accuracy = 1.0 Test Accuracy = 0.7095 Iteration = 316 Loss = 0.000405447 Train Accuracy = 1.0 Test Accuracy = 0.7104167 Iteration = 318 Loss = 0.00032595394 Train Accuracy = 1.0 Test Accuracy = 0.711 Iteration = 320 Loss = 0.00026236102 Train Accuracy = 1.0 Test Accuracy = 0.7111667 Iteration = 322 Loss = 0.00021890918 Train Accuracy = 1.0 Test Accuracy = 0.71066666 Iteration = 324 Loss = 0.00018484419 Train Accuracy = 1.0 Test Accuracy = 0.7111667 Iteration = 326 Loss = 0.00015782172 Train Accuracy = 1.0 Test Accuracy = 0.712 Iteration = 328 Loss = 0.00013544358 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 330 Loss = 0.000114639595 Train Accuracy = 1.0 Test Accuracy = 0.71225 Iteration = 332 Loss = 9.780913e-05 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 334 Loss = 8.440489e-05 Train Accuracy = 1.0 Test Accuracy = 0.71166664 Iteration = 336 Loss = 7.364951e-05 Train Accuracy = 1.0 Test Accuracy = 0.71183336 Iteration = 338 Loss = 6.455868e-05 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 340 Loss = 5.6624343e-05 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 342 Loss = 4.988855e-05 Train Accuracy = 1.0 Test Accuracy = 0.7123333 Iteration = 344 Loss = 4.410619e-05 Train Accuracy = 1.0 Test Accuracy = 0.71241665 Iteration = 346 Loss = 3.9038005e-05 Train Accuracy = 1.0 Test Accuracy = 0.71258336 Iteration = 348 Loss = 3.435547e-05 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 350 Loss = 3.0202851e-05 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 352 Loss = 2.6717316e-05 Train Accuracy = 1.0 Test Accuracy = 0.71325 Iteration = 354 Loss = 2.3285194e-05 Train Accuracy = 1.0 Test Accuracy = 0.71358335 Iteration = 356 Loss = 2.0297493e-05 Train Accuracy = 1.0 Test Accuracy = 0.7134167 Iteration = 358 Loss = 1.7743507e-05 Train Accuracy = 1.0 Test Accuracy = 0.7135 Iteration = 360 Loss = 1.5536238e-05 Train Accuracy = 1.0 Test Accuracy = 0.7133333 Iteration = 362 Loss = 1.3622106e-05 Train Accuracy = 1.0 Test Accuracy = 0.7135 Iteration = 364 Loss = 1.1990397e-05 Train Accuracy = 1.0 Test Accuracy = 0.7134167 Iteration = 366 Loss = 1.0550555e-05 Train Accuracy = 1.0 Test Accuracy = 0.7130833 Iteration = 368 Loss = 9.2847085e-06 Train Accuracy = 1.0 Test Accuracy = 0.71316665 Iteration = 370 Loss = 8.178567e-06 Train Accuracy = 1.0 Test Accuracy = 0.71325 Iteration = 372 Loss = 7.1951804e-06 Train Accuracy = 1.0 Test Accuracy = 0.7129167 Iteration = 374 Loss = 6.340517e-06 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 376 Loss = 5.5752457e-06 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 378 Loss = 4.910098e-06 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 380 Loss = 4.324811e-06 Train Accuracy = 1.0 Test Accuracy = 0.71258336 Iteration = 382 Loss = 3.796738e-06 Train Accuracy = 1.0 Test Accuracy = 0.71225 Iteration = 384 Loss = 3.3378005e-06 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 386 Loss = 2.9277344e-06 Train Accuracy = 1.0 Test Accuracy = 0.7119167 Iteration = 388 Loss = 2.5796542e-06 Train Accuracy = 1.0 Test Accuracy = 0.71183336 Iteration = 390 Loss = 2.2685258e-06 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 392 Loss = 1.983622e-06 Train Accuracy = 1.0 Test Accuracy = 0.7123333 Iteration = 394 Loss = 1.7487843e-06 Train Accuracy = 1.0 Test Accuracy = 0.7123333 Iteration = 396 Loss = 1.5330194e-06 Train Accuracy = 1.0 Test Accuracy = 0.71258336 Iteration = 398 Loss = 1.3494398e-06 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 400 Loss = 1.1861252e-06 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 402 Loss = 1.0418837e-06 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 404 Loss = 9.167151e-07 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 406 Loss = 8.046594e-07 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 408 Loss = 7.0929275e-07 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 410 Loss = 6.2465466e-07 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 412 Loss = 5.5074537e-07 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 414 Loss = 4.839886e-07 Train Accuracy = 1.0 Test Accuracy = 0.7123333 Iteration = 416 Loss = 4.255763e-07 Train Accuracy = 1.0 Test Accuracy = 0.71241665 Iteration = 418 Loss = 3.7670065e-07 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 420 Loss = 3.373617e-07 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 422 Loss = 2.9444652e-07 Train Accuracy = 1.0 Test Accuracy = 0.71208334 Iteration = 424 Loss = 2.5629964e-07 Train Accuracy = 1.0 Test Accuracy = 0.712 Iteration = 426 Loss = 2.253053e-07 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 428 Loss = 2.0265561e-07 Train Accuracy = 1.0 Test Accuracy = 0.71225 Iteration = 430 Loss = 1.7762167e-07 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 432 Loss = 1.5497197e-07 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 434 Loss = 1.3113012e-07 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 436 Loss = 1.1920922e-07 Train Accuracy = 1.0 Test Accuracy = 0.7129167 Iteration = 438 Loss = 1.0490412e-07 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 440 Loss = 9.29832e-08 Train Accuracy = 1.0 Test Accuracy = 0.71283334 Iteration = 442 Loss = 8.3446466e-08 Train Accuracy = 1.0 Test Accuracy = 0.7130833 Iteration = 444 Loss = 7.271765e-08 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 446 Loss = 6.1988814e-08 Train Accuracy = 1.0 Test Accuracy = 0.71283334 Iteration = 448 Loss = 5.364416e-08 Train Accuracy = 1.0 Test Accuracy = 0.713 Iteration = 450 Loss = 4.7683706e-08 Train Accuracy = 1.0 Test Accuracy = 0.71283334 Iteration = 452 Loss = 4.2915335e-08 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 454 Loss = 3.8146965e-08 Train Accuracy = 1.0 Test Accuracy = 0.713 Iteration = 456 Loss = 3.457069e-08 Train Accuracy = 1.0 Test Accuracy = 0.71325 Iteration = 458 Loss = 3.099441e-08 Train Accuracy = 1.0 Test Accuracy = 0.7123333 Iteration = 460 Loss = 2.3841856e-08 Train Accuracy = 1.0 Test Accuracy = 0.71183336 Iteration = 462 Loss = 2.145767e-08 Train Accuracy = 1.0 Test Accuracy = 0.71141666 Iteration = 464 Loss = 1.9073484e-08 Train Accuracy = 1.0 Test Accuracy = 0.71183336 Iteration = 466 Loss = 1.4305113e-08 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 468 Loss = 1.6689299e-08 Train Accuracy = 1.0 Test Accuracy = 0.71216667 Iteration = 470 Loss = 1.9073484e-08 Train Accuracy = 1.0 Test Accuracy = 0.7129167 Iteration = 472 Loss = 2.0265578e-08 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 474 Loss = 1.5497207e-08 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 476 Loss = 1.6689299e-08 Train Accuracy = 1.0 Test Accuracy = 0.71275 Iteration = 478 Loss = 1.6689299e-08 Train Accuracy = 1.0 Test Accuracy = 0.71241665 Iteration = 480 Loss = 1.43051135e-08 Train Accuracy = 1.0 Test Accuracy = 0.71283334 Iteration = 482 Loss = 1.3113021e-08 Train Accuracy = 1.0 Test Accuracy = 0.7126667 Iteration = 484 Loss = 1.3113021e-08 Train Accuracy = 1.0 Test Accuracy = 0.7130833 Iteration = 486 Loss = 9.536743e-09 Train Accuracy = 1.0 Test Accuracy = 0.7125 Iteration = 488 Loss = 8.344649e-09 Train Accuracy = 1.0 Test Accuracy = 0.71283334 Iteration = 490 Loss = 1.0728835e-08 Train Accuracy = 1.0 Test Accuracy = 0.71258336 Iteration = 492 Loss = 1.1920928e-08 Train Accuracy = 1.0 Test Accuracy = 0.71133333 Iteration = 494 Loss = 0.0063963626 Train Accuracy = 1.0 Test Accuracy = 0.69808334 Iteration = 496 Loss = 0.0004115127 Train Accuracy = 1.0 Test Accuracy = 0.7055 Iteration = 498 Loss = 0.0003629662 Train Accuracy = 1.0 Test Accuracy = 0.70666665

이터레이션 너무 크게잡아서 그럴수도 있는데 중간에 두번정도 튄다ㅠㅠㅠ 트레인은 잘나오고 테스트는 계속 낮게나오길래 비율을 1:1로 바꿔봤는데 우리가 아직 데이터가 적어서그런지 몰라도 이게 훨씬 잘나오는거같애 드라이브에 만장 더 추가해서 삼만장으로도 해볼게~

ghost commented 5 years ago

Iteration = 0 Loss = 2.3142552 Train Accuracy = 0.26 Test Accuracy = 0.22829731 Iteration = 2 Loss = 1.9441795 Train Accuracy = 0.34 Test Accuracy = 0.33015907 Iteration = 4 Loss = 1.6381592 Train Accuracy = 0.48 Test Accuracy = 0.4430416 Iteration = 6 Loss = 1.2965344 Train Accuracy = 0.6 Test Accuracy = 0.49960768 Iteration = 8 Loss = 1.1074672 Train Accuracy = 0.66 Test Accuracy = 0.56787217 Iteration = 10 Loss = 1.0284212 Train Accuracy = 0.64 Test Accuracy = 0.5649119 Iteration = 12 Loss = 0.79895234 Train Accuracy = 0.76 Test Accuracy = 0.5968685 Iteration = 14 Loss = 0.6186333 Train Accuracy = 0.8 Test Accuracy = 0.66848564 Iteration = 16 Loss = 0.3665939 Train Accuracy = 0.88 Test Accuracy = 0.6742992 Iteration = 18 Loss = 0.17171267 Train Accuracy = 0.98 Test Accuracy = 0.7449533 Iteration = 20 Loss = 0.18921185 Train Accuracy = 0.96 Test Accuracy = 0.7587203 Iteration = 22 Loss = 0.1110375 Train Accuracy = 0.96 Test Accuracy = 0.7938512 Iteration = 24 Loss = 0.09282898 Train Accuracy = 0.98 Test Accuracy = 0.8081532 Iteration = 26 Loss = 0.09418457 Train Accuracy = 1.0 Test Accuracy = 0.8036237 Iteration = 28 Loss = 0.07611908 Train Accuracy = 0.98 Test Accuracy = 0.84378344 Iteration = 30 Loss = 0.040395483 Train Accuracy = 1.0 Test Accuracy = 0.8363649 Iteration = 32 Loss = 0.035179373 Train Accuracy = 1.0 Test Accuracy = 0.8689279 Iteration = 34 Loss = 0.03101918 Train Accuracy = 1.0 Test Accuracy = 0.8717098 Iteration = 36 Loss = 0.038655445 Train Accuracy = 1.0 Test Accuracy = 0.8729225 Iteration = 38 Loss = 0.019925423 Train Accuracy = 1.0 Test Accuracy = 0.8833369 Iteration = 40 Loss = 0.032537773 Train Accuracy = 1.0 Test Accuracy = 0.86108136 Iteration = 42 Loss = 0.03319974 Train Accuracy = 1.0 Test Accuracy = 0.89082676 Iteration = 44 Loss = 0.013707087 Train Accuracy = 1.0 Test Accuracy = 0.87823665 Iteration = 46 Loss = 0.015093445 Train Accuracy = 1.0 Test Accuracy = 0.9010985 Iteration = 48 Loss = 0.027440444 Train Accuracy = 0.98 Test Accuracy = 0.9035238 Iteration = 50 Loss = 0.022236563 Train Accuracy = 1.0 Test Accuracy = 0.9021685 Iteration = 52 Loss = 0.011550179 Train Accuracy = 1.0 Test Accuracy = 0.9030958 Iteration = 54 Loss = 0.0050459947 Train Accuracy = 1.0 Test Accuracy = 0.91693413 Iteration = 56 Loss = 0.0138839455 Train Accuracy = 1.0 Test Accuracy = 0.9264569 Iteration = 58 Loss = 0.04865537 Train Accuracy = 0.96 Test Accuracy = 0.8937157 Iteration = 60 Loss = 0.008665934 Train Accuracy = 1.0 Test Accuracy = 0.91686285 Iteration = 62 Loss = 0.009557506 Train Accuracy = 1.0 Test Accuracy = 0.91693413 Iteration = 64 Loss = 0.004078288 Train Accuracy = 1.0 Test Accuracy = 0.9212854 Iteration = 66 Loss = 0.004493894 Train Accuracy = 1.0 Test Accuracy = 0.9069834 Iteration = 68 Loss = 0.0076568336 Train Accuracy = 1.0 Test Accuracy = 0.92538697 Iteration = 70 Loss = 0.007426672 Train Accuracy = 1.0 Test Accuracy = 0.924531 Iteration = 72 Loss = 0.004591064 Train Accuracy = 1.0 Test Accuracy = 0.9215351 Iteration = 74 Loss = 0.010672476 Train Accuracy = 1.0 Test Accuracy = 0.9271703 Iteration = 76 Loss = 0.010996356 Train Accuracy = 1.0 Test Accuracy = 0.92624295 Iteration = 78 Loss = 0.0020635 Train Accuracy = 1.0 Test Accuracy = 0.939796 Iteration = 80 Loss = 0.009791488 Train Accuracy = 1.0 Test Accuracy = 0.93576574 Iteration = 82 Loss = 0.004414277 Train Accuracy = 1.0 Test Accuracy = 0.92100006 Iteration = 84 Loss = 0.004533994 Train Accuracy = 1.0 Test Accuracy = 0.93951064 Iteration = 86 Loss = 0.00268367 Train Accuracy = 1.0 Test Accuracy = 0.9466438 Iteration = 88 Loss = 0.002436474 Train Accuracy = 1.0 Test Accuracy = 0.9457165 Iteration = 90 Loss = 0.0038718653 Train Accuracy = 1.0 Test Accuracy = 0.94264925 Iteration = 92 Loss = 0.022390017 Train Accuracy = 0.98 Test Accuracy = 0.9433269 Iteration = 94 Loss = 0.0048290766 Train Accuracy = 1.0 Test Accuracy = 0.92727727 Iteration = 96 Loss = 0.0014233965 Train Accuracy = 1.0 Test Accuracy = 0.938084 Iteration = 98 Loss = 0.008160669 Train Accuracy = 1.0 Test Accuracy = 0.93576574 Iteration = 100 Loss = 0.0027301183 Train Accuracy = 1.0 Test Accuracy = 0.9341251 Iteration = 102 Loss = 0.0024089657 Train Accuracy = 1.0 Test Accuracy = 0.95331335 Iteration = 104 Loss = 0.0042014015 Train Accuracy = 1.0 Test Accuracy = 0.9650831 Iteration = 106 Loss = 0.0035703403 Train Accuracy = 1.0 Test Accuracy = 0.9405093 Iteration = 108 Loss = 0.0021960426 Train Accuracy = 1.0 Test Accuracy = 0.93751335 Iteration = 110 Loss = 0.0058381394 Train Accuracy = 1.0 Test Accuracy = 0.9532777 Iteration = 112 Loss = 0.003132589 Train Accuracy = 1.0 Test Accuracy = 0.9549183 Iteration = 114 Loss = 0.0013047325 Train Accuracy = 1.0 Test Accuracy = 0.95634496 Iteration = 116 Loss = 0.0076675154 Train Accuracy = 1.0 Test Accuracy = 0.9359441 Iteration = 118 Loss = 0.0017614145 Train Accuracy = 1.0 Test Accuracy = 0.9608745 Iteration = 120 Loss = 0.0054031205 Train Accuracy = 1.0 Test Accuracy = 0.9479991 Iteration = 122 Loss = 0.004885761 Train Accuracy = 1.0 Test Accuracy = 0.9465012 Iteration = 124 Loss = 0.004831829 Train Accuracy = 1.0 Test Accuracy = 0.9637635 Iteration = 126 Loss = 0.0020772994 Train Accuracy = 1.0 Test Accuracy = 0.954526 Iteration = 128 Loss = 0.008039698 Train Accuracy = 1.0 Test Accuracy = 0.94778514 Iteration = 130 Loss = 0.0014703592 Train Accuracy = 1.0 Test Accuracy = 0.9616592 Iteration = 132 Loss = 0.0018319981 Train Accuracy = 1.0 Test Accuracy = 0.95395535 Iteration = 134 Loss = 0.003377235 Train Accuracy = 1.0 Test Accuracy = 0.9640488 Iteration = 136 Loss = 0.001283326 Train Accuracy = 1.0 Test Accuracy = 0.9606249 Iteration = 138 Loss = 0.002904179 Train Accuracy = 1.0 Test Accuracy = 0.96358514 Iteration = 140 Loss = 0.0045632166 Train Accuracy = 1.0 Test Accuracy = 0.9542407 Iteration = 142 Loss = 0.0025241035 Train Accuracy = 1.0 Test Accuracy = 0.94642985 Iteration = 144 Loss = 0.004415394 Train Accuracy = 1.0 Test Accuracy = 0.9605535 Iteration = 146 Loss = 0.00020299912 Train Accuracy = 1.0 Test Accuracy = 0.9660104 Iteration = 148 Loss = 0.0014358616 Train Accuracy = 1.0 Test Accuracy = 0.9602682 Iteration = 150 Loss = 0.0015298751 Train Accuracy = 1.0 Test Accuracy = 0.9716813 Iteration = 152 Loss = 0.00024288081 Train Accuracy = 1.0 Test Accuracy = 0.9606962 Iteration = 154 Loss = 0.0021611422 Train Accuracy = 1.0 Test Accuracy = 0.9595549 Iteration = 156 Loss = 0.0033544698 Train Accuracy = 1.0 Test Accuracy = 0.97086096 Iteration = 158 Loss = 0.0018071202 Train Accuracy = 1.0 Test Accuracy = 0.9542407 Iteration = 160 Loss = 0.0033891518 Train Accuracy = 1.0 Test Accuracy = 0.96947 Iteration = 162 Loss = 0.0011174049 Train Accuracy = 1.0 Test Accuracy = 0.95959055 Iteration = 164 Loss = 0.0025708727 Train Accuracy = 1.0 Test Accuracy = 0.96169484 Iteration = 166 Loss = 0.0021271715 Train Accuracy = 1.0 Test Accuracy = 0.9642984 Iteration = 168 Loss = 0.0020027747 Train Accuracy = 1.0 Test Accuracy = 0.9744632 Iteration = 170 Loss = 0.003597357 Train Accuracy = 1.0 Test Accuracy = 0.9722876 Iteration = 172 Loss = 0.000801062 Train Accuracy = 1.0 Test Accuracy = 0.97210926 Iteration = 174 Loss = 0.0034738227 Train Accuracy = 1.0 Test Accuracy = 0.9686497 Iteration = 176 Loss = 0.0023753636 Train Accuracy = 1.0 Test Accuracy = 0.96294314 Iteration = 178 Loss = 0.002233287 Train Accuracy = 1.0 Test Accuracy = 0.9648691 Iteration = 180 Loss = 0.0007351953 Train Accuracy = 1.0 Test Accuracy = 0.95666593 Iteration = 182 Loss = 0.0009086242 Train Accuracy = 1.0 Test Accuracy = 0.9637635 Iteration = 184 Loss = 0.0007129892 Train Accuracy = 1.0 Test Accuracy = 0.9714673 Iteration = 186 Loss = 0.0015983657 Train Accuracy = 1.0 Test Accuracy = 0.9687924 Iteration = 188 Loss = 0.009707796 Train Accuracy = 1.0 Test Accuracy = 0.95006776

6만장... 너무 잘나와서 의심이 간다 코드 좀 고쳐서 다시해볼게