--------[29_09_2019 16:52:06]-------- second stage Hyperparameter Tuning with 1 net Configuration learning_rate=0.3, decay_step=20 [16:53:20] INIT Loss(val): 0.180713 Accuarcy: 0.083435 [16:55:33] Epoch 1: Loss(train): 0.106532 Loss(val): 0.109270 [16:56:20] Epoch 2: Loss(train): 0.095428 Loss(val): 0.097530 [16:57:06] Epoch 3: Loss(train): 0.090024 Loss(val): 0.091654 [16:57:52] Epoch 4: Loss(train): 0.086840 Loss(val): 0.088290 [16:58:38] Epoch 5: Loss(train): 0.085175 Loss(val): 0.086443 [16:59:24] Epoch 6: Loss(train): 0.084256 Loss(val): 0.085231 [17:00:09] Epoch 7: Loss(train): 0.083388 Loss(val): 0.084379 [17:00:54] Epoch 8: Loss(train): 0.082766 Loss(val): 0.083685 [17:01:40] Epoch 9: Loss(train): 0.082271 Loss(val): 0.083217 [17:02:25] Epoch 10: Loss(train): 0.081836 Loss(val): 0.082803 [17:03:10] Epoch 11: Loss(train): 0.081547 Loss(val): 0.082447 [17:03:56] Epoch 12: Loss(train): 0.081178 Loss(val): 0.082092 [17:04:42] Epoch 13: Loss(train): 0.080869 Loss(val): 0.081751 [17:05:27] Epoch 14: Loss(train): 0.080644 Loss(val): 0.081556 [17:06:12] Epoch 15: Loss(train): 0.080391 Loss(val): 0.081279 [17:06:57] Epoch 16: Loss(train): 0.080222 Loss(val): 0.081098 [17:07:43] Epoch 17: Loss(train): 0.080038 Loss(val): 0.080880 [17:08:28] Epoch 18: Loss(train): 0.079911 Loss(val): 0.080777 [17:09:14] Epoch 19: Loss(train): 0.079714 Loss(val): 0.080606 [17:09:59] Epoch 20: Loss(train): 0.079589 Loss(val): 0.080480 [17:10:45] Epoch 21: Loss(train): 0.079406 Loss(val): 0.080328 [17:11:31] Epoch 22: Loss(train): 0.079339 Loss(val): 0.080205 [17:12:16] Epoch 23: Loss(train): 0.079207 Loss(val): 0.080088 [17:13:02] Epoch 24: Loss(train): 0.079084 Loss(val): 0.079978 [17:13:48] Epoch 25: Loss(train): 0.079040 Loss(val): 0.079932 [17:14:35] Epoch 26: Loss(train): 0.078889 Loss(val): 0.079799 [17:15:26] Epoch 27: Loss(train): 0.078822 Loss(val): 0.079725 [17:16:19] Epoch 28: Loss(train): 0.078742 Loss(val): 0.079628 [17:17:12] Epoch 29: Loss(train): 0.078611 Loss(val): 0.079555 [17:18:01] Epoch 30: Loss(train): 0.078586 Loss(val): 0.079513 [17:18:51] Epoch 31: Loss(train): 0.078523 Loss(val): 0.079450 [17:19:43] Epoch 32: Loss(train): 0.078456 Loss(val): 0.079391 [17:20:29] Epoch 33: Loss(train): 0.078401 Loss(val): 0.079339 [17:21:16] Epoch 34: Loss(train): 0.078364 Loss(val): 0.079309 [17:22:03] Epoch 35: Loss(train): 0.078296 Loss(val): 0.079267 [17:22:49] Epoch 36: Loss(train): 0.078242 Loss(val): 0.079220 [17:23:36] Epoch 37: Loss(train): 0.078217 Loss(val): 0.079206 [17:24:27] Epoch 38: Loss(train): 0.078172 Loss(val): 0.079159 [17:25:13] Epoch 39: Loss(train): 0.078125 Loss(val): 0.079112 [17:25:59] Epoch 40: Loss(train): 0.078090 Loss(val): 0.079078 [17:26:47] Epoch 41: Loss(train): 0.078064 Loss(val): 0.079061 [17:27:34] Epoch 42: Loss(train): 0.078024 Loss(val): 0.079030 [17:28:21] Epoch 43: Loss(train): 0.077999 Loss(val): 0.079014 [17:29:07] Epoch 44: Loss(train): 0.077969 Loss(val): 0.079004 [17:29:54] Epoch 45: Loss(train): 0.077942 Loss(val): 0.078974 [17:30:40] Epoch 46: Loss(train): 0.077913 Loss(val): 0.078955 [17:31:26] Epoch 47: Loss(train): 0.077897 Loss(val): 0.078943 [17:32:14] Epoch 48: Loss(train): 0.077872 Loss(val): 0.078943 [17:33:00] Epoch 49: Loss(train): 0.077860 Loss(val): 0.078925 [17:33:46] Epoch 50: Loss(train): 0.077845 Loss(val): 0.078909 Converged at Loss(train): 0.082486, Loss(val): 0.083474 in epoch 50 with accuracy(val): 0.445493 Configuration learning_rate=0.3, decay_step=40 [17:34:11] INIT Loss(val): 0.154576 Accuarcy: 0.089405 [17:34:58] Epoch 1: Loss(train): 0.106738 Loss(val): 0.110443 [17:35:46] Epoch 2: Loss(train): 0.094961 Loss(val): 0.097940 [17:36:33] Epoch 3: Loss(train): 0.089637 Loss(val): 0.092018 [17:37:20] Epoch 4: Loss(train): 0.086759 Loss(val): 0.088715 [17:38:07] Epoch 5: Loss(train): 0.085159 Loss(val): 0.086774 [17:38:54] Epoch 6: Loss(train): 0.084000 Loss(val): 0.085421 [17:39:40] Epoch 7: Loss(train): 0.083180 Loss(val): 0.084470 [17:40:26] Epoch 8: Loss(train): 0.082572 Loss(val): 0.083797 [17:41:13] Epoch 9: Loss(train): 0.082123 Loss(val): 0.083295 [17:41:59] Epoch 10: Loss(train): 0.081630 Loss(val): 0.082839 [17:42:45] Epoch 11: Loss(train): 0.081291 Loss(val): 0.082452 [17:43:32] Epoch 12: Loss(train): 0.080972 Loss(val): 0.082084 [17:44:18] Epoch 13: Loss(train): 0.080653 Loss(val): 0.081747 [17:45:04] Epoch 14: Loss(train): 0.080442 Loss(val): 0.081523 [17:45:50] Epoch 15: Loss(train): 0.080123 Loss(val): 0.081291 [17:46:37] Epoch 16: Loss(train): 0.079901 Loss(val): 0.081047 [17:47:24] Epoch 17: Loss(train): 0.079744 Loss(val): 0.080816 [17:48:12] Epoch 18: Loss(train): 0.079591 Loss(val): 0.080666 [17:48:58] Epoch 19: Loss(train): 0.079401 Loss(val): 0.080512 [17:49:45] Epoch 20: Loss(train): 0.079236 Loss(val): 0.080347 [17:50:33] Epoch 21: Loss(train): 0.079109 Loss(val): 0.080221 [17:51:24] Epoch 22: Loss(train): 0.078977 Loss(val): 0.080101 [17:52:12] Epoch 23: Loss(train): 0.078854 Loss(val): 0.080001 [17:52:59] Epoch 24: Loss(train): 0.078805 Loss(val): 0.079867 [17:53:46] Epoch 25: Loss(train): 0.078686 Loss(val): 0.079800 [17:54:36] Epoch 26: Loss(train): 0.078619 Loss(val): 0.079673 [17:55:28] Epoch 27: Loss(train): 0.078528 Loss(val): 0.079612 [17:56:15] Epoch 28: Loss(train): 0.078430 Loss(val): 0.079535 [17:57:02] Epoch 29: Loss(train): 0.078359 Loss(val): 0.079456 [17:57:50] Epoch 30: Loss(train): 0.078281 Loss(val): 0.079384 [17:58:44] Epoch 31: Loss(train): 0.078242 Loss(val): 0.079335 [17:59:33] Epoch 32: Loss(train): 0.078183 Loss(val): 0.079284 [18:00:24] Epoch 33: Loss(train): 0.078123 Loss(val): 0.079225 [18:01:13] Epoch 34: Loss(train): 0.078082 Loss(val): 0.079195 [18:02:00] Epoch 35: Loss(train): 0.078023 Loss(val): 0.079155 [18:02:49] Epoch 36: Loss(train): 0.077983 Loss(val): 0.079103 [18:03:38] Epoch 37: Loss(train): 0.077936 Loss(val): 0.079066 [18:04:26] Epoch 38: Loss(train): 0.077902 Loss(val): 0.079045 [18:05:14] Epoch 39: Loss(train): 0.077875 Loss(val): 0.079019 [18:06:03] Epoch 40: Loss(train): 0.077839 Loss(val): 0.078968 [18:06:51] Epoch 41: Loss(train): 0.077803 Loss(val): 0.078962 [18:07:39] Epoch 42: Loss(train): 0.077777 Loss(val): 0.078970 [18:08:27] Epoch 43: Loss(train): 0.077755 Loss(val): 0.078905 [18:09:15] Epoch 44: Loss(train): 0.077733 Loss(val): 0.078915 [18:10:03] Epoch 45: Loss(train): 0.077713 Loss(val): 0.078907 [18:10:52] Epoch 46: Loss(train): 0.077690 Loss(val): 0.078885 [18:11:39] Epoch 47: Loss(train): 0.077666 Loss(val): 0.078863 [18:12:27] Epoch 48: Loss(train): 0.077652 Loss(val): 0.078851 [18:13:15] Epoch 49: Loss(train): 0.077632 Loss(val): 0.078827 [18:14:03] Epoch 50: Loss(train): 0.077617 Loss(val): 0.078828 [18:14:50] Epoch 51: Loss(train): 0.077603 Loss(val): 0.078800 [18:15:38] Epoch 52: Loss(train): 0.077587 Loss(val): 0.078780 [18:16:25] Epoch 53: Loss(train): 0.077573 Loss(val): 0.078771 [18:17:13] Epoch 54: Loss(train): 0.077561 Loss(val): 0.078770 [18:18:00] Epoch 55: Loss(train): 0.077551 Loss(val): 0.078766 [18:18:48] Epoch 56: Loss(train): 0.077541 Loss(val): 0.078755 [18:19:35] Epoch 57: Loss(train): 0.077533 Loss(val): 0.078769 [18:20:22] Epoch 58: Loss(train): 0.077520 Loss(val): 0.078739 [18:21:09] Epoch 59: Loss(train): 0.077514 Loss(val): 0.078746 [18:21:57] Epoch 60: Loss(train): 0.077504 Loss(val): 0.078725 [18:22:44] Epoch 61: Loss(train): 0.077499 Loss(val): 0.078735 [18:23:32] Epoch 62: Loss(train): 0.077492 Loss(val): 0.078728 [18:24:20] Epoch 63: Loss(train): 0.077485 Loss(val): 0.078724 [18:25:08] Epoch 64: Loss(train): 0.077478 Loss(val): 0.078721 [18:25:56] Epoch 65: Loss(train): 0.077468 Loss(val): 0.078695 [18:26:45] Epoch 66: Loss(train): 0.077468 Loss(val): 0.078714 [18:27:40] Epoch 67: Loss(train): 0.077462 Loss(val): 0.078705 [18:28:28] Epoch 68: Loss(train): 0.077458 Loss(val): 0.078700 [18:29:17] Epoch 69: Loss(train): 0.077453 Loss(val): 0.078694 [18:30:11] Epoch 70: Loss(train): 0.077454 Loss(val): 0.078712 [18:31:04] Epoch 71: Loss(train): 0.077449 Loss(val): 0.078707 [18:32:01] Epoch 72: Loss(train): 0.077444 Loss(val): 0.078695 [18:32:56] Epoch 73: Loss(train): 0.077440 Loss(val): 0.078689 [18:33:45] Epoch 74: Loss(train): 0.077438 Loss(val): 0.078692 [18:34:34] Epoch 75: Loss(train): 0.077435 Loss(val): 0.078691 [18:35:26] Epoch 76: Loss(train): 0.077430 Loss(val): 0.078680 [18:36:16] Epoch 77: Loss(train): 0.077427 Loss(val): 0.078679 [18:37:05] Epoch 78: Loss(train): 0.077426 Loss(val): 0.078680 [18:37:54] Epoch 79: Loss(train): 0.077424 Loss(val): 0.078680 [18:38:48] Epoch 80: Loss(train): 0.077420 Loss(val): 0.078671 [18:39:36] Epoch 81: Loss(train): 0.077419 Loss(val): 0.078675 [18:40:28] Epoch 82: Loss(train): 0.077415 Loss(val): 0.078664 [18:41:17] Epoch 83: Loss(train): 0.077414 Loss(val): 0.078668 [18:42:06] Epoch 84: Loss(train): 0.077410 Loss(val): 0.078661 [18:42:55] Epoch 85: Loss(train): 0.077410 Loss(val): 0.078663 [18:43:45] Epoch 86: Loss(train): 0.077409 Loss(val): 0.078667 [18:44:33] Epoch 87: Loss(train): 0.077407 Loss(val): 0.078664 [18:45:23] Epoch 88: Loss(train): 0.077406 Loss(val): 0.078664 [18:46:12] Epoch 89: Loss(train): 0.077404 Loss(val): 0.078660 [18:47:02] Epoch 90: Loss(train): 0.077403 Loss(val): 0.078663 [18:47:51] Epoch 91: Loss(train): 0.077401 Loss(val): 0.078657 [18:48:41] Epoch 92: Loss(train): 0.077399 Loss(val): 0.078655 [18:49:30] Epoch 93: Loss(train): 0.077399 Loss(val): 0.078657 [18:50:19] Epoch 94: Loss(train): 0.077399 Loss(val): 0.078657 [18:51:08] Epoch 95: Loss(train): 0.077398 Loss(val): 0.078657 [18:51:57] Epoch 96: Loss(train): 0.077397 Loss(val): 0.078658 [18:52:46] Epoch 97: Loss(train): 0.077397 Loss(val): 0.078657 [18:53:36] Epoch 98: Loss(train): 0.077394 Loss(val): 0.078651 [18:54:25] Epoch 99: Loss(train): 0.077394 Loss(val): 0.078652 [18:55:14] Epoch 100: Loss(train): 0.077393 Loss(val): 0.078650 [18:56:04] Epoch 101: Loss(train): 0.077392 Loss(val): 0.078649 [18:56:53] Epoch 102: Loss(train): 0.077391 Loss(val): 0.078646 [18:57:42] Epoch 103: Loss(train): 0.077390 Loss(val): 0.078645 [18:58:32] Epoch 104: Loss(train): 0.077389 Loss(val): 0.078644 [18:59:22] Epoch 105: Loss(train): 0.077389 Loss(val): 0.078644 [19:00:12] Epoch 106: Loss(train): 0.077388 Loss(val): 0.078642 [19:01:09] Epoch 107: Loss(train): 0.077388 Loss(val): 0.078642 [19:01:59] Epoch 108: Loss(train): 0.077388 Loss(val): 0.078644 [19:02:49] Epoch 109: Loss(train): 0.077387 Loss(val): 0.078643 [19:03:39] Epoch 110: Loss(train): 0.077387 Loss(val): 0.078643 [19:04:32] Epoch 111: Loss(train): 0.077386 Loss(val): 0.078641 [19:05:30] Epoch 112: Loss(train): 0.077386 Loss(val): 0.078641 [19:06:25] Epoch 113: Loss(train): 0.077386 Loss(val): 0.078642 [19:07:16] Epoch 114: Loss(train): 0.077386 Loss(val): 0.078641 [19:08:06] Epoch 115: Loss(train): 0.077385 Loss(val): 0.078641 [19:08:55] Epoch 116: Loss(train): 0.077385 Loss(val): 0.078641 [19:09:46] Epoch 117: Loss(train): 0.077385 Loss(val): 0.078641 [19:10:37] Epoch 118: Loss(train): 0.077385 Loss(val): 0.078641 [19:11:27] Epoch 119: Loss(train): 0.077385 Loss(val): 0.078642 [19:12:21] Epoch 120: Loss(train): 0.077384 Loss(val): 0.078641 [19:13:14] Epoch 121: Loss(train): 0.077384 Loss(val): 0.078641 [19:14:03] Epoch 122: Loss(train): 0.077384 Loss(val): 0.078641 [19:14:54] Epoch 123: Loss(train): 0.077384 Loss(val): 0.078641 [19:15:46] Epoch 124: Loss(train): 0.077384 Loss(val): 0.078641 [19:16:37] Epoch 125: Loss(train): 0.077384 Loss(val): 0.078640 [19:17:28] Epoch 126: Loss(train): 0.077384 Loss(val): 0.078640 [19:18:20] Epoch 127: Loss(train): 0.077384 Loss(val): 0.078641 [19:19:11] Epoch 128: Loss(train): 0.077384 Loss(val): 0.078640 [19:20:01] Epoch 129: Loss(train): 0.077383 Loss(val): 0.078640 [19:20:52] Epoch 130: Loss(train): 0.077383 Loss(val): 0.078640 [19:21:44] Epoch 131: Loss(train): 0.077383 Loss(val): 0.078639 [19:22:36] Epoch 132: Loss(train): 0.077383 Loss(val): 0.078640 [19:23:26] Epoch 133: Loss(train): 0.077383 Loss(val): 0.078640 [19:24:17] Epoch 134: Loss(train): 0.077383 Loss(val): 0.078639 [19:25:07] Epoch 135: Loss(train): 0.077383 Loss(val): 0.078639 [19:25:58] Epoch 136: Loss(train): 0.077383 Loss(val): 0.078639 [19:26:48] Epoch 137: Loss(train): 0.077383 Loss(val): 0.078639 [19:27:40] Epoch 138: Loss(train): 0.077383 Loss(val): 0.078639 [19:28:31] Epoch 139: Loss(train): 0.077383 Loss(val): 0.078639 [19:29:22] Epoch 140: Loss(train): 0.077383 Loss(val): 0.078639 [19:30:13] Epoch 141: Loss(train): 0.077383 Loss(val): 0.078639 [19:31:04] Epoch 142: Loss(train): 0.077383 Loss(val): 0.078639 [19:31:55] Epoch 143: Loss(train): 0.077383 Loss(val): 0.078639 [19:32:46] Epoch 144: Loss(train): 0.077383 Loss(val): 0.078639 [19:33:36] Epoch 145: Loss(train): 0.077383 Loss(val): 0.078639 [19:34:26] Epoch 146: Loss(train): 0.077383 Loss(val): 0.078640 [19:35:22] Epoch 147: Loss(train): 0.077383 Loss(val): 0.078639 [19:36:17] Epoch 148: Loss(train): 0.077383 Loss(val): 0.078639 [19:37:15] Epoch 149: Loss(train): 0.077383 Loss(val): 0.078639 [19:38:16] Epoch 150: Loss(train): 0.077383 Loss(val): 0.078639 [19:39:07] Epoch 151: Loss(train): 0.077383 Loss(val): 0.078639 [19:39:59] Epoch 152: Loss(train): 0.077383 Loss(val): 0.078639 [19:40:50] Epoch 153: Loss(train): 0.077383 Loss(val): 0.078639 [19:41:45] Epoch 154: Loss(train): 0.077382 Loss(val): 0.078639 [19:42:36] Epoch 155: Loss(train): 0.077382 Loss(val): 0.078639 [19:43:33] Epoch 156: Loss(train): 0.077382 Loss(val): 0.078639 [19:44:26] Epoch 157: Loss(train): 0.077382 Loss(val): 0.078639 [19:45:19] Epoch 158: Loss(train): 0.077382 Loss(val): 0.078639 [19:46:10] Epoch 159: Loss(train): 0.077382 Loss(val): 0.078639 [19:47:03] Epoch 160: Loss(train): 0.077382 Loss(val): 0.078639 [19:47:57] Epoch 161: Loss(train): 0.077382 Loss(val): 0.078639 [19:48:48] Epoch 162: Loss(train): 0.077382 Loss(val): 0.078639 [19:49:40] Epoch 163: Loss(train): 0.077382 Loss(val): 0.078639 [19:50:32] Epoch 164: Loss(train): 0.077382 Loss(val): 0.078639 [19:51:23] Epoch 165: Loss(train): 0.077382 Loss(val): 0.078639 [19:52:18] Epoch 166: Loss(train): 0.077382 Loss(val): 0.078639 [19:53:09] Epoch 167: Loss(train): 0.077382 Loss(val): 0.078639 [19:54:00] Epoch 168: Loss(train): 0.077382 Loss(val): 0.078639 [19:54:52] Epoch 169: Loss(train): 0.077382 Loss(val): 0.078639 [19:55:44] Epoch 170: Loss(train): 0.077382 Loss(val): 0.078639 [19:56:35] Epoch 171: Loss(train): 0.077382 Loss(val): 0.078639 [19:57:27] Epoch 172: Loss(train): 0.077382 Loss(val): 0.078639 [19:58:18] Epoch 173: Loss(train): 0.077382 Loss(val): 0.078639 [19:59:09] Epoch 174: Loss(train): 0.077382 Loss(val): 0.078639 [20:00:01] Epoch 175: Loss(train): 0.077382 Loss(val): 0.078639 [20:00:54] Epoch 176: Loss(train): 0.077382 Loss(val): 0.078639 [20:01:47] Epoch 177: Loss(train): 0.077382 Loss(val): 0.078639 [20:02:39] Epoch 178: Loss(train): 0.077382 Loss(val): 0.078639 [20:03:32] Epoch 179: Loss(train): 0.077382 Loss(val): 0.078639 [20:04:24] Epoch 180: Loss(train): 0.077382 Loss(val): 0.078639 [20:05:17] Epoch 181: Loss(train): 0.077382 Loss(val): 0.078639 [20:06:10] Epoch 182: Loss(train): 0.077382 Loss(val): 0.078639 [20:07:11] Epoch 183: Loss(train): 0.077382 Loss(val): 0.078639 [20:08:09] Epoch 184: Loss(train): 0.077382 Loss(val): 0.078639 [20:09:13] Epoch 185: Loss(train): 0.077382 Loss(val): 0.078639 [20:10:11] Epoch 186: Loss(train): 0.077382 Loss(val): 0.078639 [20:11:09] Epoch 187: Loss(train): 0.077382 Loss(val): 0.078639 [20:12:05] Epoch 188: Loss(train): 0.077382 Loss(val): 0.078639 [20:13:04] Epoch 189: Loss(train): 0.077382 Loss(val): 0.078639 [20:14:00] Epoch 190: Loss(train): 0.077382 Loss(val): 0.078639 [20:14:52] Epoch 191: Loss(train): 0.077382 Loss(val): 0.078639 [20:15:49] Epoch 192: Loss(train): 0.077382 Loss(val): 0.078639 [20:16:44] Epoch 193: Loss(train): 0.077382 Loss(val): 0.078639 [20:17:37] Epoch 194: Loss(train): 0.077382 Loss(val): 0.078639 [20:18:30] Epoch 195: Loss(train): 0.077382 Loss(val): 0.078639 [20:19:27] Epoch 196: Loss(train): 0.077382 Loss(val): 0.078639 [20:20:21] Epoch 197: Loss(train): 0.077382 Loss(val): 0.078639 [20:21:13] Epoch 198: Loss(train): 0.077382 Loss(val): 0.078639 [20:22:06] Epoch 199: Loss(train): 0.077382 Loss(val): 0.078639 [20:23:01] Epoch 200: Loss(train): 0.077382 Loss(val): 0.078639 [20:23:56] Epoch 201: Loss(train): 0.077382 Loss(val): 0.078639 [20:24:49] Epoch 202: Loss(train): 0.077382 Loss(val): 0.078639 [20:25:42] Epoch 203: Loss(train): 0.077382 Loss(val): 0.078639 [20:26:36] Epoch 204: Loss(train): 0.077382 Loss(val): 0.078639 [20:27:28] Epoch 205: Loss(train): 0.077382 Loss(val): 0.078639 [20:28:22] Epoch 206: Loss(train): 0.077382 Loss(val): 0.078639 [20:29:16] Epoch 207: Loss(train): 0.077382 Loss(val): 0.078639 [20:30:10] Epoch 208: Loss(train): 0.077382 Loss(val): 0.078639 [20:31:03] Epoch 209: Loss(train): 0.077382 Loss(val): 0.078639 [20:31:55] Epoch 210: Loss(train): 0.077382 Loss(val): 0.078639 [20:32:49] Epoch 211: Loss(train): 0.077382 Loss(val): 0.078639 [20:33:42] Epoch 212: Loss(train): 0.077382 Loss(val): 0.078639 [20:34:35] Epoch 213: Loss(train): 0.077382 Loss(val): 0.078639 [20:35:28] Epoch 214: Loss(train): 0.077382 Loss(val): 0.078639 [20:37:07] Epoch 215: Loss(train): 0.077382 Loss(val): 0.078639 [20:39:39] Epoch 216: Loss(train): 0.077382 Loss(val): 0.078639 [20:42:07] Epoch 217: Loss(train): 0.077382 Loss(val): 0.078639 [20:44:41] Epoch 218: Loss(train): 0.077382 Loss(val): 0.078639 [20:47:12] Epoch 219: Loss(train): 0.077382 Loss(val): 0.078639 [20:49:23] Epoch 220: Loss(train): 0.077382 Loss(val): 0.078639 [20:51:26] Epoch 221: Loss(train): 0.077382 Loss(val): 0.078639 [20:53:30] Epoch 222: Loss(train): 0.077382 Loss(val): 0.078639 [20:55:28] Epoch 223: Loss(train): 0.077382 Loss(val): 0.078639 [20:57:30] Epoch 224: Loss(train): 0.077382 Loss(val): 0.078639 [20:59:28] Epoch 225: Loss(train): 0.077382 Loss(val): 0.078639 [21:01:23] Epoch 226: Loss(train): 0.077382 Loss(val): 0.078639 [21:03:18] Epoch 227: Loss(train): 0.077382 Loss(val): 0.078639 [21:05:13] Epoch 228: Loss(train): 0.077382 Loss(val): 0.078639 [21:07:08] Epoch 229: Loss(train): 0.077382 Loss(val): 0.078639 [21:09:06] Epoch 230: Loss(train): 0.077382 Loss(val): 0.078639 [21:11:45] Epoch 231: Loss(train): 0.077382 Loss(val): 0.078639 [21:14:17] Epoch 232: Loss(train): 0.077382 Loss(val): 0.078639 [21:16:50] Epoch 233: Loss(train): 0.077382 Loss(val): 0.078639 [21:18:55] Epoch 234: Loss(train): 0.077382 Loss(val): 0.078639 [21:21:14] Epoch 235: Loss(train): 0.077382 Loss(val): 0.078639 [21:23:20] Epoch 236: Loss(train): 0.077382 Loss(val): 0.078639 [21:25:19] Epoch 237: Loss(train): 0.077382 Loss(val): 0.078639 [21:27:31] Epoch 238: Loss(train): 0.077382 Loss(val): 0.078639 [21:29:41] Epoch 239: Loss(train): 0.077382 Loss(val): 0.078639 [21:31:41] Epoch 240: Loss(train): 0.077382 Loss(val): 0.078639 [21:33:47] Epoch 241: Loss(train): 0.077382 Loss(val): 0.078639 [21:35:49] Epoch 242: Loss(train): 0.077382 Loss(val): 0.078639 [21:37:51] Epoch 243: Loss(train): 0.077382 Loss(val): 0.078639 [21:39:51] Epoch 244: Loss(train): 0.077382 Loss(val): 0.078639 [21:42:19] Epoch 245: Loss(train): 0.077382 Loss(val): 0.078639 [21:44:40] Epoch 246: Loss(train): 0.077382 Loss(val): 0.078639 [21:46:46] Epoch 247: Loss(train): 0.077382 Loss(val): 0.078639 [21:49:01] Epoch 248: Loss(train): 0.077382 Loss(val): 0.078639 [21:51:19] Epoch 249: Loss(train): 0.077382 Loss(val): 0.078639 [21:53:26] Epoch 250: Loss(train): 0.077382 Loss(val): 0.078639 [21:55:35] Epoch 251: Loss(train): 0.077382 Loss(val): 0.078639 [21:57:42] Epoch 252: Loss(train): 0.077382 Loss(val): 0.078639 [21:59:52] Epoch 253: Loss(train): 0.077382 Loss(val): 0.078639 [22:01:59] Epoch 254: Loss(train): 0.077382 Loss(val): 0.078639 [22:04:11] Epoch 255: Loss(train): 0.077382 Loss(val): 0.078639 [22:06:13] Epoch 256: Loss(train): 0.077382 Loss(val): 0.078639 [22:08:20] Epoch 257: Loss(train): 0.077382 Loss(val): 0.078639 [22:10:22] Epoch 258: Loss(train): 0.077382 Loss(val): 0.078639 [22:12:25] Epoch 259: Loss(train): 0.077382 Loss(val): 0.078639 [22:14:28] Epoch 260: Loss(train): 0.077382 Loss(val): 0.078639 [22:16:51] Epoch 261: Loss(train): 0.077382 Loss(val): 0.078639 [22:19:19] Epoch 262: Loss(train): 0.077382 Loss(val): 0.078639 [22:21:37] Epoch 263: Loss(train): 0.077382 Loss(val): 0.078639 [22:24:16] Epoch 264: Loss(train): 0.077382 Loss(val): 0.078639 [22:26:31] Epoch 265: Loss(train): 0.077382 Loss(val): 0.078639 [22:28:42] Epoch 266: Loss(train): 0.077382 Loss(val): 0.078639 [22:30:51] Epoch 267: Loss(train): 0.077382 Loss(val): 0.078639 [22:33:05] Epoch 268: Loss(train): 0.077382 Loss(val): 0.078639 [22:35:15] Epoch 269: Loss(train): 0.077382 Loss(val): 0.078639 [22:37:29] Epoch 270: Loss(train): 0.077382 Loss(val): 0.078639 [22:39:37] Epoch 271: Loss(train): 0.077382 Loss(val): 0.078639 [22:41:48] Epoch 272: Loss(train): 0.077382 Loss(val): 0.078639 [22:43:53] Epoch 273: Loss(train): 0.077382 Loss(val): 0.078639 [22:45:58] Epoch 274: Loss(train): 0.077382 Loss(val): 0.078639 [22:48:04] Epoch 275: Loss(train): 0.077382 Loss(val): 0.078639 [22:50:17] Epoch 276: Loss(train): 0.077382 Loss(val): 0.078639 [22:52:25] Epoch 277: Loss(train): 0.077382 Loss(val): 0.078639 [22:54:34] Epoch 278: Loss(train): 0.077382 Loss(val): 0.078639 [22:56:40] Epoch 279: Loss(train): 0.077382 Loss(val): 0.078639 [22:58:46] Epoch 280: Loss(train): 0.077382 Loss(val): 0.078639 [23:01:05] Epoch 281: Loss(train): 0.077382 Loss(val): 0.078639 [23:03:23] Epoch 282: Loss(train): 0.077382 Loss(val): 0.078639 Converged at Loss(train): 0.082034, Loss(val): 0.083194 in epoch 282 with accuracy(val): 0.458486 Configuration learning_rate=0.3, decay_step=60 [23:04:17] INIT Loss(val): 0.148113 Accuarcy: 0.088044 [23:06:34] Epoch 1: Loss(train): 0.107054 Loss(val): 0.109363 [23:08:56] Epoch 2: Loss(train): 0.095789 Loss(val): 0.097876 [23:11:04] Epoch 3: Loss(train): 0.090508 Loss(val): 0.092148 [23:13:35] Epoch 4: Loss(train): 0.087590 Loss(val): 0.088927 [23:17:01] Epoch 5: Loss(train): 0.085521 Loss(val): 0.086741 [23:20:12] Epoch 6: Loss(train): 0.084280 Loss(val): 0.085431 [23:22:24] Epoch 7: Loss(train): 0.083406 Loss(val): 0.084504 [23:24:58] Epoch 8: Loss(train): 0.082772 Loss(val): 0.083805 [23:27:22] Epoch 9: Loss(train): 0.082204 Loss(val): 0.083247 [23:29:41] Epoch 10: Loss(train): 0.081678 Loss(val): 0.082771 [23:32:03] Epoch 11: Loss(train): 0.081268 Loss(val): 0.082301 [23:34:12] Epoch 12: Loss(train): 0.080904 Loss(val): 0.081968 [23:36:27] Epoch 13: Loss(train): 0.080724 Loss(val): 0.081766 [23:38:41] Epoch 14: Loss(train): 0.080442 Loss(val): 0.081502 [23:40:53] Epoch 15: Loss(train): 0.080174 Loss(val): 0.081228 [23:43:06] Epoch 16: Loss(train): 0.079994 Loss(val): 0.081023 [23:46:08] Epoch 17: Loss(train): 0.079753 Loss(val): 0.080801 [23:48:40] Epoch 18: Loss(train): 0.079578 Loss(val): 0.080634 [23:51:34] Epoch 19: Loss(train): 0.079432 Loss(val): 0.080512 [23:54:06] Epoch 20: Loss(train): 0.079271 Loss(val): 0.080309 [23:56:30] Epoch 21: Loss(train): 0.079122 Loss(val): 0.080194 [23:58:59] Epoch 22: Loss(train): 0.079044 Loss(val): 0.080105 [00:01:16] Epoch 23: Loss(train): 0.078923 Loss(val): 0.079973 [00:03:34] Epoch 24: Loss(train): 0.078793 Loss(val): 0.079894 [00:05:51] Epoch 25: Loss(train): 0.078695 Loss(val): 0.079780 [00:08:07] Epoch 26: Loss(train): 0.078608 Loss(val): 0.079694 [00:10:24] Epoch 27: Loss(train): 0.078494 Loss(val): 0.079601 [00:12:39] Epoch 28: Loss(train): 0.078417 Loss(val): 0.079530 [00:15:31] Epoch 29: Loss(train): 0.078361 Loss(val): 0.079450 [00:18:25] Epoch 30: Loss(train): 0.078333 Loss(val): 0.079394 [00:21:07] Epoch 31: Loss(train): 0.078235 Loss(val): 0.079327 [00:24:01] Epoch 32: Loss(train): 0.078153 Loss(val): 0.079252 [00:26:34] Epoch 33: Loss(train): 0.078107 Loss(val): 0.079232 [00:29:00] Epoch 34: Loss(train): 0.078064 Loss(val): 0.079163 [00:31:28] Epoch 35: Loss(train): 0.078004 Loss(val): 0.079139 [00:33:49] Epoch 36: Loss(train): 0.077960 Loss(val): 0.079076 [00:36:08] Epoch 37: Loss(train): 0.077932 Loss(val): 0.079059 [00:38:29] Epoch 38: Loss(train): 0.077874 Loss(val): 0.079005 [00:40:51] Epoch 39: Loss(train): 0.077841 Loss(val): 0.078978 [00:43:11] Epoch 40: Loss(train): 0.077795 Loss(val): 0.078931 [00:45:57] Epoch 41: Loss(train): 0.077764 Loss(val): 0.078925 [00:49:17] Epoch 42: Loss(train): 0.077733 Loss(val): 0.078916 [00:52:09] Epoch 43: Loss(train): 0.077707 Loss(val): 0.078873 [00:54:39] Epoch 44: Loss(train): 0.077685 Loss(val): 0.078852 [00:57:11] Epoch 45: Loss(train): 0.077660 Loss(val): 0.078848 [00:59:43] Epoch 46: Loss(train): 0.077632 Loss(val): 0.078837 [01:02:15] Epoch 47: Loss(train): 0.077619 Loss(val): 0.078815 [01:04:43] Epoch 48: Loss(train): 0.077599 Loss(val): 0.078788 [01:07:05] Epoch 49: Loss(train): 0.077581 Loss(val): 0.078782 [01:09:26] Epoch 50: Loss(train): 0.077557 Loss(val): 0.078758 [01:11:49] Epoch 51: Loss(train): 0.077544 Loss(val): 0.078751 [01:14:11] Epoch 52: Loss(train): 0.077522 Loss(val): 0.078734 [01:17:36] Epoch 53: Loss(train): 0.077510 Loss(val): 0.078726 [01:20:53] Epoch 54: Loss(train): 0.077499 Loss(val): 0.078728 [01:23:46] Epoch 55: Loss(train): 0.077487 Loss(val): 0.078702 [01:26:28] Epoch 56: Loss(train): 0.077474 Loss(val): 0.078712 [01:29:08] Epoch 57: Loss(train): 0.077465 Loss(val): 0.078715 [01:31:37] Epoch 58: Loss(train): 0.077457 Loss(val): 0.078715 [01:34:07] Epoch 59: Loss(train): 0.077445 Loss(val): 0.078696 [01:36:30] Epoch 60: Loss(train): 0.077437 Loss(val): 0.078695 [01:38:58] Epoch 61: Loss(train): 0.077429 Loss(val): 0.078679 [01:41:20] Epoch 62: Loss(train): 0.077426 Loss(val): 0.078690 [01:43:42] Epoch 63: Loss(train): 0.077418 Loss(val): 0.078677 [01:46:26] Epoch 64: Loss(train): 0.077412 Loss(val): 0.078690 [01:49:45] Epoch 65: Loss(train): 0.077403 Loss(val): 0.078668 [01:52:30] Epoch 66: Loss(train): 0.077400 Loss(val): 0.078670 [01:55:42] Epoch 67: Loss(train): 0.077396 Loss(val): 0.078664 [01:58:18] Epoch 68: Loss(train): 0.077391 Loss(val): 0.078665 [02:00:59] Epoch 69: Loss(train): 0.077385 Loss(val): 0.078659 [02:03:31] Epoch 70: Loss(train): 0.077380 Loss(val): 0.078658 [02:06:07] Epoch 71: Loss(train): 0.077376 Loss(val): 0.078658 [02:08:35] Epoch 72: Loss(train): 0.077374 Loss(val): 0.078661 [02:11:04] Epoch 73: Loss(train): 0.077371 Loss(val): 0.078655 [02:13:32] Epoch 74: Loss(train): 0.077368 Loss(val): 0.078656 [02:15:59] Epoch 75: Loss(train): 0.077364 Loss(val): 0.078651 [02:18:26] Epoch 76: Loss(train): 0.077361 Loss(val): 0.078648 [02:21:38] Epoch 77: Loss(train): 0.077359 Loss(val): 0.078647 [02:24:25] Epoch 78: Loss(train): 0.077356 Loss(val): 0.078647 [02:27:14] Epoch 79: Loss(train): 0.077351 Loss(val): 0.078638 [02:30:05] Epoch 80: Loss(train): 0.077349 Loss(val): 0.078634 [02:32:44] Epoch 81: Loss(train): 0.077346 Loss(val): 0.078634 [02:35:28] Epoch 82: Loss(train): 0.077344 Loss(val): 0.078633 [02:38:05] Epoch 83: Loss(train): 0.077345 Loss(val): 0.078639 [02:40:38] Epoch 84: Loss(train): 0.077343 Loss(val): 0.078638 [02:43:12] Epoch 85: Loss(train): 0.077342 Loss(val): 0.078642 [02:45:45] Epoch 86: Loss(train): 0.077339 Loss(val): 0.078636 [02:48:13] Epoch 87: Loss(train): 0.077338 Loss(val): 0.078637 [02:50:41] Epoch 88: Loss(train): 0.077337 Loss(val): 0.078637 [02:53:51] Epoch 89: Loss(train): 0.077335 Loss(val): 0.078632 [02:56:53] Epoch 90: Loss(train): 0.077334 Loss(val): 0.078630 [02:59:47] Epoch 91: Loss(train): 0.077332 Loss(val): 0.078628 [03:02:24] Epoch 92: Loss(train): 0.077331 Loss(val): 0.078627 [03:05:12] Epoch 93: Loss(train): 0.077330 Loss(val): 0.078627 [03:07:58] Epoch 94: Loss(train): 0.077328 Loss(val): 0.078623 [03:10:35] Epoch 95: Loss(train): 0.077327 Loss(val): 0.078619 [03:13:15] Epoch 96: Loss(train): 0.077327 Loss(val): 0.078623 [03:15:50] Epoch 97: Loss(train): 0.077327 Loss(val): 0.078625 [03:18:21] Epoch 98: Loss(train): 0.077326 Loss(val): 0.078626 [03:20:56] Epoch 99: Loss(train): 0.077326 Loss(val): 0.078625 [03:23:41] Epoch 100: Loss(train): 0.077325 Loss(val): 0.078622 [03:26:50] Epoch 101: Loss(train): 0.077324 Loss(val): 0.078623 [03:30:06] Epoch 102: Loss(train): 0.077324 Loss(val): 0.078622 [03:33:21] Epoch 103: Loss(train): 0.077323 Loss(val): 0.078622 [03:36:06] Epoch 104: Loss(train): 0.077323 Loss(val): 0.078622 [03:38:49] Epoch 105: Loss(train): 0.077322 Loss(val): 0.078622 [03:41:29] Epoch 106: Loss(train): 0.077321 Loss(val): 0.078619 [03:44:10] Epoch 107: Loss(train): 0.077320 Loss(val): 0.078616 [03:46:47] Epoch 108: Loss(train): 0.077319 Loss(val): 0.078615 [03:49:22] Epoch 109: Loss(train): 0.077319 Loss(val): 0.078616 [03:51:55] Epoch 110: Loss(train): 0.077319 Loss(val): 0.078615 [03:54:28] Epoch 111: Loss(train): 0.077318 Loss(val): 0.078614 [03:57:08] Epoch 112: Loss(train): 0.077319 Loss(val): 0.078616 [04:00:37] Epoch 113: Loss(train): 0.077318 Loss(val): 0.078615 [04:03:24] Epoch 114: Loss(train): 0.077318 Loss(val): 0.078617 [04:06:31] Epoch 115: Loss(train): 0.077319 Loss(val): 0.078618 [04:09:20] Epoch 116: Loss(train): 0.077319 Loss(val): 0.078618 [04:12:07] Epoch 117: Loss(train): 0.077318 Loss(val): 0.078617 [04:14:48] Epoch 118: Loss(train): 0.077318 Loss(val): 0.078617 [04:17:30] Epoch 119: Loss(train): 0.077318 Loss(val): 0.078617 [04:20:10] Epoch 120: Loss(train): 0.077317 Loss(val): 0.078616 [04:22:50] Epoch 121: Loss(train): 0.077317 Loss(val): 0.078617 [04:25:30] Epoch 122: Loss(train): 0.077317 Loss(val): 0.078618 [04:28:06] Epoch 123: Loss(train): 0.077318 Loss(val): 0.078618 [04:30:57] Epoch 124: Loss(train): 0.077318 Loss(val): 0.078619 [04:33:55] Epoch 125: Loss(train): 0.077317 Loss(val): 0.078619 [04:36:46] Epoch 126: Loss(train): 0.077317 Loss(val): 0.078619 [04:39:57] Epoch 127: Loss(train): 0.077317 Loss(val): 0.078618 [04:42:50] Epoch 128: Loss(train): 0.077317 Loss(val): 0.078618 [04:45:43] Epoch 129: Loss(train): 0.077317 Loss(val): 0.078618 [04:48:25] Epoch 130: Loss(train): 0.077317 Loss(val): 0.078618 [04:51:16] Epoch 131: Loss(train): 0.077317 Loss(val): 0.078618 [04:53:57] Epoch 132: Loss(train): 0.077317 Loss(val): 0.078617 [04:56:34] Epoch 133: Loss(train): 0.077317 Loss(val): 0.078617 [04:59:17] Epoch 134: Loss(train): 0.077316 Loss(val): 0.078617 [05:01:58] Epoch 135: Loss(train): 0.077316 Loss(val): 0.078617 [05:05:03] Epoch 136: Loss(train): 0.077316 Loss(val): 0.078617 [05:08:22] Epoch 137: Loss(train): 0.077316 Loss(val): 0.078616 [05:11:24] Epoch 138: Loss(train): 0.077316 Loss(val): 0.078616 [05:14:25] Epoch 139: Loss(train): 0.077316 Loss(val): 0.078616 [05:17:22] Epoch 140: Loss(train): 0.077316 Loss(val): 0.078616 [05:20:16] Epoch 141: Loss(train): 0.077316 Loss(val): 0.078616 [05:23:04] Epoch 142: Loss(train): 0.077316 Loss(val): 0.078615 [05:25:53] Epoch 143: Loss(train): 0.077316 Loss(val): 0.078615 [05:28:38] Epoch 144: Loss(train): 0.077316 Loss(val): 0.078615 [05:31:22] Epoch 145: Loss(train): 0.077316 Loss(val): 0.078615 [05:34:02] Epoch 146: Loss(train): 0.077316 Loss(val): 0.078615 [05:36:46] Epoch 147: Loss(train): 0.077316 Loss(val): 0.078615 [05:40:11] Epoch 148: Loss(train): 0.077316 Loss(val): 0.078615 [05:43:43] Epoch 149: Loss(train): 0.077316 Loss(val): 0.078615 [05:46:56] Epoch 150: Loss(train): 0.077316 Loss(val): 0.078615 [05:49:55] Epoch 151: Loss(train): 0.077315 Loss(val): 0.078615 [05:52:53] Epoch 152: Loss(train): 0.077315 Loss(val): 0.078615 [05:55:52] Epoch 153: Loss(train): 0.077315 Loss(val): 0.078615 [05:58:45] Epoch 154: Loss(train): 0.077315 Loss(val): 0.078615 [06:01:39] Epoch 155: Loss(train): 0.077315 Loss(val): 0.078615 [06:04:25] Epoch 156: Loss(train): 0.077315 Loss(val): 0.078615 [06:07:07] Epoch 157: Loss(train): 0.077315 Loss(val): 0.078615 [06:09:52] Epoch 158: Loss(train): 0.077315 Loss(val): 0.078615 [06:12:41] Epoch 159: Loss(train): 0.077315 Loss(val): 0.078615 Converged at Loss(train): 0.081795, Loss(val): 0.082810 in epoch 159 with accuracy(val): 0.455119 Configuration learning_rate=0.1, decay_step=20 [06:14:12] INIT Loss(val): 0.151758 Accuarcy: 0.109337 [06:17:00] Epoch 1: Loss(train): 0.108645 Loss(val): 0.110902 [06:19:52] Epoch 2: Loss(train): 0.097215 Loss(val): 0.099030 [06:22:40] Epoch 3: Loss(train): 0.091263 Loss(val): 0.092792 [06:25:30] Epoch 4: Loss(train): 0.088060 Loss(val): 0.089313 [06:28:30] Epoch 5: Loss(train): 0.086003 Loss(val): 0.087071 [06:31:27] Epoch 6: Loss(train): 0.084676 Loss(val): 0.085638 [06:34:27] Epoch 7: Loss(train): 0.083821 Loss(val): 0.084719 [06:37:15] Epoch 8: Loss(train): 0.083102 Loss(val): 0.083924 [06:40:03] Epoch 9: Loss(train): 0.082514 Loss(val): 0.083343 [06:42:51] Epoch 10: Loss(train): 0.082124 Loss(val): 0.082861 [06:45:39] Epoch 11: Loss(train): 0.081586 Loss(val): 0.082425 [06:48:23] Epoch 12: Loss(train): 0.081260 Loss(val): 0.082115 [06:51:13] Epoch 13: Loss(train): 0.080916 Loss(val): 0.081760 [06:53:59] Epoch 14: Loss(train): 0.080611 Loss(val): 0.081422 [06:56:45] Epoch 15: Loss(train): 0.080433 Loss(val): 0.081247 [06:59:36] Epoch 16: Loss(train): 0.080208 Loss(val): 0.081032 [07:02:22] Epoch 17: Loss(train): 0.080056 Loss(val): 0.080846 [07:05:14] Epoch 18: Loss(train): 0.079824 Loss(val): 0.080675 [07:08:09] Epoch 19: Loss(train): 0.079619 Loss(val): 0.080466 [07:11:07] Epoch 20: Loss(train): 0.079563 Loss(val): 0.080365 [07:14:22] Epoch 21: Loss(train): 0.079408 Loss(val): 0.080246 [07:17:29] Epoch 22: Loss(train): 0.079267 Loss(val): 0.080076 [07:22:07] Epoch 23: Loss(train): 0.079120 Loss(val): 0.079969 [07:25:39] Epoch 24: Loss(train): 0.079023 Loss(val): 0.079840 [07:28:35] Epoch 25: Loss(train): 0.078940 Loss(val): 0.079775 [07:31:55] Epoch 26: Loss(train): 0.078815 Loss(val): 0.079648 [07:35:01] Epoch 27: Loss(train): 0.078760 Loss(val): 0.079581 [07:37:52] Epoch 28: Loss(train): 0.078676 Loss(val): 0.079495 [07:40:47] Epoch 29: Loss(train): 0.078605 Loss(val): 0.079448 [07:43:38] Epoch 30: Loss(train): 0.078492 Loss(val): 0.079332 [07:46:29] Epoch 31: Loss(train): 0.078412 Loss(val): 0.079296 [07:50:38] Epoch 32: Loss(train): 0.078362 Loss(val): 0.079227 [07:53:58] Epoch 33: Loss(train): 0.078317 Loss(val): 0.079200 [07:57:46] Epoch 34: Loss(train): 0.078244 Loss(val): 0.079147 [08:00:52] Epoch 35: Loss(train): 0.078228 Loss(val): 0.079104 [08:04:06] Epoch 36: Loss(train): 0.078162 Loss(val): 0.079045 [08:07:02] Epoch 37: Loss(train): 0.078107 Loss(val): 0.079005 [08:10:00] Epoch 38: Loss(train): 0.078047 Loss(val): 0.078963 [08:12:51] Epoch 39: Loss(train): 0.078025 Loss(val): 0.078911 [08:15:43] Epoch 40: Loss(train): 0.077986 Loss(val): 0.078901 [08:18:48] Epoch 41: Loss(train): 0.077959 Loss(val): 0.078886 [08:23:08] Epoch 42: Loss(train): 0.077921 Loss(val): 0.078858 [08:26:57] Epoch 43: Loss(train): 0.077886 Loss(val): 0.078826 [08:30:10] Epoch 44: Loss(train): 0.077849 Loss(val): 0.078798 [08:33:24] Epoch 45: Loss(train): 0.077820 Loss(val): 0.078793 [08:36:39] Epoch 46: Loss(train): 0.077805 Loss(val): 0.078768 [08:39:38] Epoch 47: Loss(train): 0.077782 Loss(val): 0.078746 [08:42:37] Epoch 48: Loss(train): 0.077759 Loss(val): 0.078739 [08:45:34] Epoch 49: Loss(train): 0.077742 Loss(val): 0.078724 [08:48:30] Epoch 50: Loss(train): 0.077717 Loss(val): 0.078697 [08:52:57] Epoch 51: Loss(train): 0.077710 Loss(val): 0.078685 [08:56:15] Epoch 52: Loss(train): 0.077692 Loss(val): 0.078671 [09:00:01] Epoch 53: Loss(train): 0.077666 Loss(val): 0.078661 [09:03:12] Epoch 54: Loss(train): 0.077662 Loss(val): 0.078661 [09:06:28] Epoch 55: Loss(train): 0.077645 Loss(val): 0.078655 [09:09:45] Epoch 56: Loss(train): 0.077640 Loss(val): 0.078639 [09:12:53] Epoch 57: Loss(train): 0.077625 Loss(val): 0.078633 [09:16:00] Epoch 58: Loss(train): 0.077610 Loss(val): 0.078614 [09:19:11] Epoch 59: Loss(train): 0.077602 Loss(val): 0.078613 [09:22:16] Epoch 60: Loss(train): 0.077597 Loss(val): 0.078604 [09:26:11] Epoch 61: Loss(train): 0.077585 Loss(val): 0.078593 [09:29:35] Epoch 62: Loss(train): 0.077575 Loss(val): 0.078597 [09:33:11] Epoch 63: Loss(train): 0.077566 Loss(val): 0.078592 [09:36:24] Epoch 64: Loss(train): 0.077563 Loss(val): 0.078593 [09:39:33] Epoch 65: Loss(train): 0.077556 Loss(val): 0.078583 [09:42:46] Epoch 66: Loss(train): 0.077552 Loss(val): 0.078584 [09:45:59] Epoch 67: Loss(train): 0.077546 Loss(val): 0.078584 [09:49:01] Epoch 68: Loss(train): 0.077539 Loss(val): 0.078566 [09:52:04] Epoch 69: Loss(train): 0.077531 Loss(val): 0.078566 [09:55:07] Epoch 70: Loss(train): 0.077528 Loss(val): 0.078561 [09:58:32] Epoch 71: Loss(train): 0.077520 Loss(val): 0.078549 [10:02:30] Epoch 72: Loss(train): 0.077516 Loss(val): 0.078549 [10:06:15] Epoch 73: Loss(train): 0.077514 Loss(val): 0.078551 [10:09:43] Epoch 74: Loss(train): 0.077510 Loss(val): 0.078550 [10:13:03] Epoch 75: Loss(train): 0.077506 Loss(val): 0.078551 [10:16:21] Epoch 76: Loss(train): 0.077503 Loss(val): 0.078544 [10:19:34] Epoch 77: Loss(train): 0.077501 Loss(val): 0.078549 [10:22:42] Epoch 78: Loss(train): 0.077498 Loss(val): 0.078546 [10:25:45] Epoch 79: Loss(train): 0.077495 Loss(val): 0.078537 [10:29:12] Epoch 80: Loss(train): 0.077493 Loss(val): 0.078541 [10:33:03] Epoch 81: Loss(train): 0.077491 Loss(val): 0.078534 [10:36:51] Epoch 82: Loss(train): 0.077488 Loss(val): 0.078536 [10:40:24] Epoch 83: Loss(train): 0.077485 Loss(val): 0.078529 [10:43:48] Epoch 84: Loss(train): 0.077483 Loss(val): 0.078526 [10:47:08] Epoch 85: Loss(train): 0.077481 Loss(val): 0.078524 [10:50:22] Epoch 86: Loss(train): 0.077480 Loss(val): 0.078528 [10:53:34] Epoch 87: Loss(train): 0.077477 Loss(val): 0.078526 [10:56:41] Epoch 88: Loss(train): 0.077476 Loss(val): 0.078521 [10:59:47] Epoch 89: Loss(train): 0.077475 Loss(val): 0.078524 [11:03:39] Epoch 90: Loss(train): 0.077473 Loss(val): 0.078523 [11:07:25] Epoch 91: Loss(train): 0.077472 Loss(val): 0.078522 [11:10:54] Epoch 92: Loss(train): 0.077471 Loss(val): 0.078519 [11:14:24] Epoch 93: Loss(train): 0.077469 Loss(val): 0.078519 [11:17:48] Epoch 94: Loss(train): 0.077468 Loss(val): 0.078517 [11:21:07] Epoch 95: Loss(train): 0.077467 Loss(val): 0.078516 [11:24:20] Epoch 96: Loss(train): 0.077466 Loss(val): 0.078516 [11:27:26] Epoch 97: Loss(train): 0.077465 Loss(val): 0.078516 [11:30:32] Epoch 98: Loss(train): 0.077464 Loss(val): 0.078514 [11:34:32] Epoch 99: Loss(train): 0.077464 Loss(val): 0.078514 [11:38:37] Epoch 100: Loss(train): 0.077463 Loss(val): 0.078512 [11:42:36] Epoch 101: Loss(train): 0.077462 Loss(val): 0.078514 [11:46:02] Epoch 102: Loss(train): 0.077461 Loss(val): 0.078513 [11:49:25] Epoch 103: Loss(train): 0.077460 Loss(val): 0.078513 [11:52:52] Epoch 104: Loss(train): 0.077460 Loss(val): 0.078512 [11:56:09] Epoch 105: Loss(train): 0.077460 Loss(val): 0.078513 [11:59:18] Epoch 106: Loss(train): 0.077459 Loss(val): 0.078512 [12:02:33] Epoch 107: Loss(train): 0.077459 Loss(val): 0.078512 [12:06:57] Epoch 108: Loss(train): 0.077458 Loss(val): 0.078510 [12:11:14] Epoch 109: Loss(train): 0.077458 Loss(val): 0.078511 [12:14:53] Epoch 110: Loss(train): 0.077457 Loss(val): 0.078510 [12:18:21] Epoch 111: Loss(train): 0.077457 Loss(val): 0.078508 [12:21:48] Epoch 112: Loss(train): 0.077456 Loss(val): 0.078508 [12:24:58] Epoch 113: Loss(train): 0.077456 Loss(val): 0.078507 [12:28:09] Epoch 114: Loss(train): 0.077456 Loss(val): 0.078506 [12:31:19] Epoch 115: Loss(train): 0.077455 Loss(val): 0.078507 [12:34:43] Epoch 116: Loss(train): 0.077455 Loss(val): 0.078507 [12:38:17] Epoch 117: Loss(train): 0.077455 Loss(val): 0.078507 [12:41:56] Epoch 118: Loss(train): 0.077455 Loss(val): 0.078506 [12:45:28] Epoch 119: Loss(train): 0.077455 Loss(val): 0.078507 [12:48:53] Epoch 120: Loss(train): 0.077454 Loss(val): 0.078506 [12:52:25] Epoch 121: Loss(train): 0.077454 Loss(val): 0.078506 [12:55:46] Epoch 122: Loss(train): 0.077454 Loss(val): 0.078507 [12:59:20] Epoch 123: Loss(train): 0.077454 Loss(val): 0.078506 [13:02:35] Epoch 124: Loss(train): 0.077454 Loss(val): 0.078506 [13:05:54] Epoch 125: Loss(train): 0.077454 Loss(val): 0.078506 [13:09:08] Epoch 126: Loss(train): 0.077454 Loss(val): 0.078506 [13:12:19] Epoch 127: Loss(train): 0.077454 Loss(val): 0.078506 [13:16:39] Epoch 128: Loss(train): 0.077454 Loss(val): 0.078505 [13:20:46] Epoch 129: Loss(train): 0.077453 Loss(val): 0.078505 [13:24:20] Epoch 130: Loss(train): 0.077453 Loss(val): 0.078505 [13:27:57] Epoch 131: Loss(train): 0.077453 Loss(val): 0.078505 [13:31:29] Epoch 132: Loss(train): 0.077453 Loss(val): 0.078504 [13:34:57] Epoch 133: Loss(train): 0.077453 Loss(val): 0.078504 [13:38:20] Epoch 134: Loss(train): 0.077453 Loss(val): 0.078504 [13:41:36] Epoch 135: Loss(train): 0.077453 Loss(val): 0.078504 [13:44:56] Epoch 136: Loss(train): 0.077453 Loss(val): 0.078504 [13:48:43] Epoch 137: Loss(train): 0.077453 Loss(val): 0.078504 [13:52:31] Epoch 138: Loss(train): 0.077453 Loss(val): 0.078504 [13:56:19] Epoch 139: Loss(train): 0.077453 Loss(val): 0.078504 [13:59:54] Epoch 140: Loss(train): 0.077453 Loss(val): 0.078504 [14:03:34] Epoch 141: Loss(train): 0.077453 Loss(val): 0.078504