File size: 107,644 Bytes
c559cad |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 |
2023-02-08 00:28:58,381 32k INFO {'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 17920, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 384, 'port': '8001'}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 1280, 'hop_length': 320, 'win_length': 1280, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 2}, 'spk': {'azusa': 0}, 'model_dir': './logs\\32k'}
2023-02-08 00:29:14,126 32k INFO Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
2023-02-08 00:29:14,507 32k INFO Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
2023-02-08 00:29:24,517 32k INFO Train Epoch: 1 [0%]
2023-02-08 00:29:24,517 32k INFO [14.127233505249023, 2.6817855834960938, 17.524608612060547, 48.69287109375, 22.818058013916016, 0, 0.0001]
2023-02-08 00:29:29,422 32k INFO Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
2023-02-08 00:29:45,554 32k INFO Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
2023-02-08 00:30:14,473 32k INFO ====> Epoch: 1
2023-02-08 00:30:42,266 32k INFO ====> Epoch: 2
2023-02-08 00:31:11,793 32k INFO ====> Epoch: 3
2023-02-08 00:31:39,220 32k INFO ====> Epoch: 4
2023-02-08 00:32:06,560 32k INFO ====> Epoch: 5
2023-02-08 00:32:34,082 32k INFO ====> Epoch: 6
2023-02-08 00:33:01,585 32k INFO ====> Epoch: 7
2023-02-08 00:33:29,018 32k INFO ====> Epoch: 8
2023-02-08 00:33:33,278 32k INFO Train Epoch: 9 [0%]
2023-02-08 00:33:33,279 32k INFO [2.680903434753418, 2.2613558769226074, 11.460450172424316, 17.092632293701172, 0.9353470206260681, 200, 9.990004373906418e-05]
2023-02-08 00:33:57,068 32k INFO ====> Epoch: 9
2023-02-08 00:34:24,645 32k INFO ====> Epoch: 10
2023-02-08 00:34:52,282 32k INFO ====> Epoch: 11
2023-02-08 00:35:19,777 32k INFO ====> Epoch: 12
2023-02-08 00:35:47,287 32k INFO ====> Epoch: 13
2023-02-08 00:36:14,870 32k INFO ====> Epoch: 14
2023-02-08 00:36:42,475 32k INFO ====> Epoch: 15
2023-02-08 00:37:09,971 32k INFO ====> Epoch: 16
2023-02-08 00:37:14,146 32k INFO Train Epoch: 17 [0%]
2023-02-08 00:37:14,146 32k INFO [2.5148773193359375, 2.4263691902160645, 13.75574779510498, 22.036197662353516, 0.6394546031951904, 400, 9.980018739066937e-05]
2023-02-08 00:37:37,808 32k INFO ====> Epoch: 17
2023-02-08 00:38:05,165 32k INFO ====> Epoch: 18
2023-02-08 00:38:32,658 32k INFO ====> Epoch: 19
2023-02-08 00:39:00,166 32k INFO ====> Epoch: 20
2023-02-08 00:39:27,627 32k INFO ====> Epoch: 21
2023-02-08 00:39:55,202 32k INFO ====> Epoch: 22
2023-02-08 00:40:22,647 32k INFO ====> Epoch: 23
2023-02-08 00:40:50,248 32k INFO ====> Epoch: 24
2023-02-08 00:40:54,548 32k INFO Train Epoch: 25 [0%]
2023-02-08 00:40:54,548 32k INFO [2.696945905685425, 2.320497512817383, 12.228717803955078, 18.85094451904297, 1.0285791158676147, 600, 9.970043085494672e-05]
2023-02-08 00:41:18,362 32k INFO ====> Epoch: 25
2023-02-08 00:41:46,096 32k INFO ====> Epoch: 26
2023-02-08 00:42:13,577 32k INFO ====> Epoch: 27
2023-02-08 00:42:41,155 32k INFO ====> Epoch: 28
2023-02-08 00:43:08,669 32k INFO ====> Epoch: 29
2023-02-08 00:43:36,158 32k INFO ====> Epoch: 30
2023-02-08 00:44:03,599 32k INFO ====> Epoch: 31
2023-02-08 00:44:31,024 32k INFO ====> Epoch: 32
2023-02-08 00:44:35,319 32k INFO Train Epoch: 33 [0%]
2023-02-08 00:44:35,320 32k INFO [2.3936450481414795, 2.404134511947632, 12.766923904418945, 17.125606536865234, 1.1186909675598145, 800, 9.960077403212722e-05]
2023-02-08 00:44:58,916 32k INFO ====> Epoch: 33
2023-02-08 00:45:26,435 32k INFO ====> Epoch: 34
2023-02-08 00:45:53,812 32k INFO ====> Epoch: 35
2023-02-08 00:46:21,356 32k INFO ====> Epoch: 36
2023-02-08 00:46:48,799 32k INFO ====> Epoch: 37
2023-02-08 00:47:16,457 32k INFO ====> Epoch: 38
2023-02-08 00:47:44,001 32k INFO ====> Epoch: 39
2023-02-08 00:48:11,678 32k INFO ====> Epoch: 40
2023-02-08 00:48:15,870 32k INFO Train Epoch: 41 [0%]
2023-02-08 00:48:15,870 32k INFO [2.4844818115234375, 2.4094862937927246, 11.561107635498047, 17.241254806518555, 1.210862398147583, 1000, 9.950121682254156e-05]
2023-02-08 00:48:20,006 32k INFO Saving model and optimizer state at iteration 41 to ./logs\32k\G_1000.pth
2023-02-08 00:48:32,340 32k INFO Saving model and optimizer state at iteration 41 to ./logs\32k\D_1000.pth
2023-02-08 00:48:59,348 32k INFO ====> Epoch: 41
2023-02-08 00:49:26,891 32k INFO ====> Epoch: 42
2023-02-08 00:49:54,445 32k INFO ====> Epoch: 43
2023-02-08 00:50:21,875 32k INFO ====> Epoch: 44
2023-02-08 00:50:49,455 32k INFO ====> Epoch: 45
2023-02-08 00:51:17,001 32k INFO ====> Epoch: 46
2023-02-08 00:51:44,503 32k INFO ====> Epoch: 47
2023-02-08 00:52:11,980 32k INFO ====> Epoch: 48
2023-02-08 00:52:16,185 32k INFO Train Epoch: 49 [0%]
2023-02-08 00:52:16,185 32k INFO [2.3651785850524902, 2.958405017852783, 11.756336212158203, 14.511272430419922, 0.9403964281082153, 1200, 9.940175912662009e-05]
2023-02-08 00:52:39,736 32k INFO ====> Epoch: 49
2023-02-08 00:53:07,187 32k INFO ====> Epoch: 50
2023-02-08 00:53:34,666 32k INFO ====> Epoch: 51
2023-02-08 00:54:02,179 32k INFO ====> Epoch: 52
2023-02-08 00:54:29,681 32k INFO ====> Epoch: 53
2023-02-08 00:54:57,369 32k INFO ====> Epoch: 54
2023-02-08 00:55:24,980 32k INFO ====> Epoch: 55
2023-02-08 00:55:52,500 32k INFO ====> Epoch: 56
2023-02-08 00:55:56,664 32k INFO Train Epoch: 57 [0%]
2023-02-08 00:55:56,665 32k INFO [2.5327048301696777, 2.5028035640716553, 12.617253303527832, 16.362380981445312, 0.9042155146598816, 1400, 9.930240084489267e-05]
2023-02-08 00:56:20,156 32k INFO ====> Epoch: 57
2023-02-08 00:56:47,634 32k INFO ====> Epoch: 58
2023-02-08 00:57:15,126 32k INFO ====> Epoch: 59
2023-02-08 00:57:42,815 32k INFO ====> Epoch: 60
2023-02-08 00:58:10,348 32k INFO ====> Epoch: 61
2023-02-08 00:58:37,967 32k INFO ====> Epoch: 62
2023-02-08 00:59:05,616 32k INFO ====> Epoch: 63
2023-02-08 00:59:33,127 32k INFO ====> Epoch: 64
2023-02-08 00:59:37,408 32k INFO Train Epoch: 65 [0%]
2023-02-08 00:59:37,408 32k INFO [2.4551429748535156, 2.5653491020202637, 13.985135078430176, 19.509544372558594, 0.659581184387207, 1600, 9.92031418779886e-05]
2023-02-08 01:00:01,011 32k INFO ====> Epoch: 65
2023-02-08 01:00:28,642 32k INFO ====> Epoch: 66
2023-02-08 01:00:56,171 32k INFO ====> Epoch: 67
2023-02-08 01:01:23,739 32k INFO ====> Epoch: 68
2023-02-08 01:01:51,305 32k INFO ====> Epoch: 69
2023-02-08 01:02:18,845 32k INFO ====> Epoch: 70
2023-02-08 01:02:46,573 32k INFO ====> Epoch: 71
2023-02-08 01:03:14,151 32k INFO ====> Epoch: 72
2023-02-08 01:03:18,451 32k INFO Train Epoch: 73 [0%]
2023-02-08 01:03:18,452 32k INFO [2.391645669937134, 2.2672810554504395, 11.498495101928711, 13.918813705444336, 0.8199062347412109, 1800, 9.910398212663652e-05]
2023-02-08 01:03:41,988 32k INFO ====> Epoch: 73
2023-02-08 01:04:09,631 32k INFO ====> Epoch: 74
2023-02-08 01:04:37,269 32k INFO ====> Epoch: 75
2023-02-08 01:05:04,809 32k INFO ====> Epoch: 76
2023-02-08 01:05:32,384 32k INFO ====> Epoch: 77
2023-02-08 01:05:59,840 32k INFO ====> Epoch: 78
2023-02-08 01:06:27,386 32k INFO ====> Epoch: 79
2023-02-08 01:06:54,982 32k INFO ====> Epoch: 80
2023-02-08 01:06:59,245 32k INFO Train Epoch: 81 [0%]
2023-02-08 01:06:59,246 32k INFO [2.488656997680664, 2.440152406692505, 12.288729667663574, 18.921611785888672, 0.6661332249641418, 2000, 9.900492149166423e-05]
2023-02-08 01:07:03,445 32k INFO Saving model and optimizer state at iteration 81 to ./logs\32k\G_2000.pth
2023-02-08 01:07:17,194 32k INFO Saving model and optimizer state at iteration 81 to ./logs\32k\D_2000.pth
2023-02-08 01:07:44,394 32k INFO ====> Epoch: 81
2023-02-08 01:08:12,102 32k INFO ====> Epoch: 82
2023-02-08 01:08:39,808 32k INFO ====> Epoch: 83
2023-02-08 01:09:07,589 32k INFO ====> Epoch: 84
2023-02-08 01:09:35,103 32k INFO ====> Epoch: 85
2023-02-08 01:10:02,989 32k INFO ====> Epoch: 86
2023-02-08 01:10:30,603 32k INFO ====> Epoch: 87
2023-02-08 01:10:58,197 32k INFO ====> Epoch: 88
2023-02-08 01:11:02,464 32k INFO Train Epoch: 89 [0%]
2023-02-08 01:11:02,465 32k INFO [2.3939270973205566, 2.46858811378479, 13.294885635375977, 16.68073081970215, 0.662113606929779, 2200, 9.89059598739987e-05]
2023-02-08 01:11:26,064 32k INFO ====> Epoch: 89
2023-02-08 01:11:53,596 32k INFO ====> Epoch: 90
2023-02-08 01:12:21,222 32k INFO ====> Epoch: 91
2023-02-08 01:12:48,821 32k INFO ====> Epoch: 92
2023-02-08 01:13:16,448 32k INFO ====> Epoch: 93
2023-02-08 01:13:43,986 32k INFO ====> Epoch: 94
2023-02-08 01:14:11,563 32k INFO ====> Epoch: 95
2023-02-08 01:14:39,190 32k INFO ====> Epoch: 96
2023-02-08 01:14:43,420 32k INFO Train Epoch: 97 [0%]
2023-02-08 01:14:43,420 32k INFO [2.150566577911377, 3.0188939571380615, 12.833222389221191, 16.604434967041016, 0.6947590708732605, 2400, 9.880709717466598e-05]
2023-02-08 01:15:07,042 32k INFO ====> Epoch: 97
2023-02-08 01:15:34,613 32k INFO ====> Epoch: 98
2023-02-08 01:16:02,106 32k INFO ====> Epoch: 99
2023-02-08 01:16:29,624 32k INFO ====> Epoch: 100
2023-02-08 01:16:57,150 32k INFO ====> Epoch: 101
2023-02-08 01:17:24,750 32k INFO ====> Epoch: 102
2023-02-08 01:17:52,318 32k INFO ====> Epoch: 103
2023-02-08 01:18:19,843 32k INFO ====> Epoch: 104
2023-02-08 01:18:24,068 32k INFO Train Epoch: 105 [0%]
2023-02-08 01:18:24,068 32k INFO [2.3046746253967285, 2.7885234355926514, 14.991938591003418, 20.93079376220703, 0.614729642868042, 2600, 9.870833329479095e-05]
2023-02-08 01:18:47,601 32k INFO ====> Epoch: 105
2023-02-08 01:19:15,206 32k INFO ====> Epoch: 106
2023-02-08 01:19:42,712 32k INFO ====> Epoch: 107
2023-02-08 01:20:10,236 32k INFO ====> Epoch: 108
2023-02-08 01:20:37,736 32k INFO ====> Epoch: 109
2023-02-08 01:21:05,257 32k INFO ====> Epoch: 110
2023-02-08 01:21:32,931 32k INFO ====> Epoch: 111
2023-02-08 01:22:00,606 32k INFO ====> Epoch: 112
2023-02-08 01:22:04,825 32k INFO Train Epoch: 113 [0%]
2023-02-08 01:22:04,826 32k INFO [2.2699294090270996, 2.5340490341186523, 13.350852012634277, 19.905895233154297, 0.6435961723327637, 2800, 9.86096681355974e-05]
2023-02-08 01:22:28,371 32k INFO ====> Epoch: 113
2023-02-08 01:22:55,765 32k INFO ====> Epoch: 114
2023-02-08 01:23:23,067 32k INFO ====> Epoch: 115
2023-02-08 01:23:50,545 32k INFO ====> Epoch: 116
2023-02-08 01:24:18,055 32k INFO ====> Epoch: 117
2023-02-08 01:24:45,595 32k INFO ====> Epoch: 118
2023-02-08 01:25:13,121 32k INFO ====> Epoch: 119
2023-02-08 01:25:40,615 32k INFO ====> Epoch: 120
2023-02-08 01:25:44,920 32k INFO Train Epoch: 121 [0%]
2023-02-08 01:25:44,920 32k INFO [2.2879674434661865, 2.512779474258423, 11.604002952575684, 14.403181076049805, 0.6269619464874268, 3000, 9.851110159840781e-05]
2023-02-08 01:25:48,869 32k INFO Saving model and optimizer state at iteration 121 to ./logs\32k\G_3000.pth
2023-02-08 01:26:01,697 32k INFO Saving model and optimizer state at iteration 121 to ./logs\32k\D_3000.pth
2023-02-08 01:26:28,563 32k INFO ====> Epoch: 121
2023-02-08 01:26:55,998 32k INFO ====> Epoch: 122
2023-02-08 01:27:23,519 32k INFO ====> Epoch: 123
2023-02-08 01:27:50,985 32k INFO ====> Epoch: 124
2023-02-08 01:28:18,452 32k INFO ====> Epoch: 125
2023-02-08 01:28:46,012 32k INFO ====> Epoch: 126
2023-02-08 01:29:13,834 32k INFO ====> Epoch: 127
2023-02-08 01:29:47,606 32k INFO ====> Epoch: 128
2023-02-08 01:29:53,716 32k INFO Train Epoch: 129 [0%]
2023-02-08 01:29:53,716 32k INFO [2.3476948738098145, 2.6832549571990967, 12.173577308654785, 14.390022277832031, 0.5709079504013062, 3200, 9.841263358464336e-05]
2023-02-08 01:30:17,311 32k INFO ====> Epoch: 129
2023-02-08 01:30:44,671 32k INFO ====> Epoch: 130
2023-02-08 01:31:12,080 32k INFO ====> Epoch: 131
2023-02-08 01:31:39,503 32k INFO ====> Epoch: 132
2023-02-08 01:32:06,856 32k INFO ====> Epoch: 133
2023-02-08 01:32:34,325 32k INFO ====> Epoch: 134
2023-02-08 01:33:01,769 32k INFO ====> Epoch: 135
2023-02-08 01:33:29,160 32k INFO ====> Epoch: 136
2023-02-08 01:33:33,357 32k INFO Train Epoch: 137 [0%]
2023-02-08 01:33:33,358 32k INFO [2.4699456691741943, 2.245213747024536, 10.267316818237305, 14.215060234069824, 0.8876320719718933, 3400, 9.831426399582366e-05]
2023-02-08 01:33:56,826 32k INFO ====> Epoch: 137
2023-02-08 01:34:24,259 32k INFO ====> Epoch: 138
2023-02-08 01:34:51,916 32k INFO ====> Epoch: 139
2023-02-08 01:35:19,313 32k INFO ====> Epoch: 140
2023-02-08 01:35:46,705 32k INFO ====> Epoch: 141
2023-02-08 01:36:14,059 32k INFO ====> Epoch: 142
2023-02-08 01:36:41,524 32k INFO ====> Epoch: 143
2023-02-08 01:37:08,907 32k INFO ====> Epoch: 144
2023-02-08 01:37:13,047 32k INFO Train Epoch: 145 [0%]
2023-02-08 01:37:13,048 32k INFO [2.4514966011047363, 2.617189645767212, 13.121513366699219, 16.7535343170166, 1.0172922611236572, 3600, 9.821599273356685e-05]
2023-02-08 01:37:36,648 32k INFO ====> Epoch: 145
2023-02-08 01:38:04,037 32k INFO ====> Epoch: 146
2023-02-08 01:38:31,473 32k INFO ====> Epoch: 147
2023-02-08 01:38:58,916 32k INFO ====> Epoch: 148
2023-02-08 01:39:26,609 32k INFO ====> Epoch: 149
2023-02-08 01:39:54,125 32k INFO ====> Epoch: 150
2023-02-08 01:40:21,625 32k INFO ====> Epoch: 151
2023-02-08 01:40:49,009 32k INFO ====> Epoch: 152
2023-02-08 01:40:53,168 32k INFO Train Epoch: 153 [0%]
2023-02-08 01:40:53,169 32k INFO [2.52900767326355, 2.333554267883301, 10.38807487487793, 14.50957202911377, 0.8212802410125732, 3800, 9.811781969958938e-05]
2023-02-08 01:41:16,651 32k INFO ====> Epoch: 153
2023-02-08 01:41:44,150 32k INFO ====> Epoch: 154
2023-02-08 01:42:11,737 32k INFO ====> Epoch: 155
2023-02-08 01:42:42,460 32k INFO ====> Epoch: 156
2023-02-08 01:43:14,706 32k INFO ====> Epoch: 157
2023-02-08 01:43:44,768 32k INFO ====> Epoch: 158
2023-02-08 01:44:20,097 32k INFO ====> Epoch: 159
2023-02-08 01:44:48,159 32k INFO ====> Epoch: 160
2023-02-08 01:44:53,178 32k INFO Train Epoch: 161 [0%]
2023-02-08 01:44:53,179 32k INFO [2.4919075965881348, 2.389814853668213, 13.226146697998047, 16.700716018676758, 1.029375672340393, 4000, 9.801974479570593e-05]
2023-02-08 01:45:04,285 32k INFO Saving model and optimizer state at iteration 161 to ./logs\32k\G_4000.pth
2023-02-08 01:45:19,646 32k INFO Saving model and optimizer state at iteration 161 to ./logs\32k\D_4000.pth
2023-02-08 01:45:47,228 32k INFO ====> Epoch: 161
2023-02-08 01:46:17,749 32k INFO ====> Epoch: 162
2023-02-08 01:46:49,056 32k INFO ====> Epoch: 163
2023-02-08 01:47:17,770 32k INFO ====> Epoch: 164
2023-02-08 01:47:45,370 32k INFO ====> Epoch: 165
2023-02-08 01:48:13,026 32k INFO ====> Epoch: 166
2023-02-08 01:48:40,466 32k INFO ====> Epoch: 167
2023-02-08 01:49:08,050 32k INFO ====> Epoch: 168
2023-02-08 01:49:12,331 32k INFO Train Epoch: 169 [0%]
2023-02-08 01:49:12,331 32k INFO [2.3142940998077393, 2.4324283599853516, 12.159595489501953, 17.59638786315918, 0.769416093826294, 4200, 9.792176792382932e-05]
2023-02-08 01:49:36,072 32k INFO ====> Epoch: 169
2023-02-08 01:50:03,728 32k INFO ====> Epoch: 170
2023-02-08 01:50:31,198 32k INFO ====> Epoch: 171
2023-02-08 01:50:58,681 32k INFO ====> Epoch: 172
2023-02-08 01:51:26,136 32k INFO ====> Epoch: 173
2023-02-08 01:51:53,632 32k INFO ====> Epoch: 174
2023-02-08 01:52:21,340 32k INFO ====> Epoch: 175
2023-02-08 01:52:48,989 32k INFO ====> Epoch: 176
2023-02-08 01:52:53,220 32k INFO Train Epoch: 177 [0%]
2023-02-08 01:52:53,221 32k INFO [2.213582754135132, 2.7260608673095703, 15.374300003051758, 19.66493797302246, 0.734653115272522, 4400, 9.782388898597041e-05]
2023-02-08 01:53:17,093 32k INFO ====> Epoch: 177
2023-02-08 01:53:44,608 32k INFO ====> Epoch: 178
2023-02-08 01:54:12,669 32k INFO ====> Epoch: 179
2023-02-08 01:54:40,101 32k INFO ====> Epoch: 180
2023-02-08 01:55:07,539 32k INFO ====> Epoch: 181
2023-02-08 01:55:35,006 32k INFO ====> Epoch: 182
2023-02-08 01:56:02,544 32k INFO ====> Epoch: 183
2023-02-08 01:56:29,982 32k INFO ====> Epoch: 184
2023-02-08 01:56:34,114 32k INFO Train Epoch: 185 [0%]
2023-02-08 01:56:34,114 32k INFO [2.2458436489105225, 2.6102848052978516, 14.459127426147461, 18.571901321411133, 1.0122240781784058, 4600, 9.772610788423802e-05]
2023-02-08 01:56:57,582 32k INFO ====> Epoch: 185
2023-02-08 01:57:25,099 32k INFO ====> Epoch: 186
2023-02-08 01:57:52,549 32k INFO ====> Epoch: 187
2023-02-08 01:58:19,952 32k INFO ====> Epoch: 188
2023-02-08 01:58:47,258 32k INFO ====> Epoch: 189
2023-02-08 01:59:14,689 32k INFO ====> Epoch: 190
2023-02-08 01:59:42,098 32k INFO ====> Epoch: 191
2023-02-08 02:00:09,804 32k INFO ====> Epoch: 192
2023-02-08 02:00:14,040 32k INFO Train Epoch: 193 [0%]
2023-02-08 02:00:14,040 32k INFO [2.0943222045898438, 2.7952206134796143, 14.362919807434082, 18.717479705810547, 1.0674397945404053, 4800, 9.762842452083883e-05]
2023-02-08 02:00:37,544 32k INFO ====> Epoch: 193
2023-02-08 02:01:05,158 32k INFO ====> Epoch: 194
2023-02-08 02:01:32,659 32k INFO ====> Epoch: 195
2023-02-08 02:02:00,171 32k INFO ====> Epoch: 196
2023-02-08 02:02:27,591 32k INFO ====> Epoch: 197
2023-02-08 02:02:55,120 32k INFO ====> Epoch: 198
2023-02-08 02:03:22,633 32k INFO ====> Epoch: 199
2023-02-08 02:03:50,191 32k INFO ====> Epoch: 200
2023-02-08 02:03:54,412 32k INFO Train Epoch: 201 [0%]
2023-02-08 02:03:54,412 32k INFO [2.24735951423645, 2.5187952518463135, 12.315719604492188, 13.546217918395996, 0.9446309208869934, 5000, 9.753083879807726e-05]
2023-02-08 02:03:58,367 32k INFO Saving model and optimizer state at iteration 201 to ./logs\32k\G_5000.pth
2023-02-08 02:04:10,281 32k INFO Saving model and optimizer state at iteration 201 to ./logs\32k\D_5000.pth
2023-02-08 02:04:37,035 32k INFO ====> Epoch: 201
2023-02-08 02:05:04,621 32k INFO ====> Epoch: 202
2023-02-08 02:05:32,106 32k INFO ====> Epoch: 203
2023-02-08 02:05:59,589 32k INFO ====> Epoch: 204
2023-02-08 02:06:27,165 32k INFO ====> Epoch: 205
2023-02-08 02:06:54,819 32k INFO ====> Epoch: 206
2023-02-08 02:07:22,187 32k INFO ====> Epoch: 207
2023-02-08 02:07:49,696 32k INFO ====> Epoch: 208
2023-02-08 02:07:53,912 32k INFO Train Epoch: 209 [0%]
2023-02-08 02:07:53,912 32k INFO [2.396101951599121, 2.1859700679779053, 9.442489624023438, 9.831204414367676, 0.44546401500701904, 5200, 9.743335061835535e-05]
2023-02-08 02:08:17,420 32k INFO ====> Epoch: 209
2023-02-08 02:08:44,968 32k INFO ====> Epoch: 210
2023-02-08 02:09:12,480 32k INFO ====> Epoch: 211
2023-02-08 02:09:39,981 32k INFO ====> Epoch: 212
2023-02-08 02:10:07,490 32k INFO ====> Epoch: 213
2023-02-08 02:10:34,935 32k INFO ====> Epoch: 214
2023-02-08 02:11:02,321 32k INFO ====> Epoch: 215
2023-02-08 02:11:29,781 32k INFO ====> Epoch: 216
2023-02-08 02:11:33,957 32k INFO Train Epoch: 217 [0%]
2023-02-08 02:11:33,958 32k INFO [2.2515032291412354, 2.8531088829040527, 14.60402774810791, 19.92062759399414, 0.7069652080535889, 5400, 9.733595988417275e-05]
2023-02-08 02:11:57,489 32k INFO ====> Epoch: 217
2023-02-08 02:12:24,987 32k INFO ====> Epoch: 218
2023-02-08 02:12:52,651 32k INFO ====> Epoch: 219
2023-02-08 02:13:20,024 32k INFO ====> Epoch: 220
2023-02-08 02:13:47,432 32k INFO ====> Epoch: 221
2023-02-08 02:14:14,685 32k INFO ====> Epoch: 222
2023-02-08 02:14:41,959 32k INFO ====> Epoch: 223
2023-02-08 02:15:09,351 32k INFO ====> Epoch: 224
2023-02-08 02:15:13,575 32k INFO Train Epoch: 225 [0%]
2023-02-08 02:15:13,576 32k INFO [2.214473009109497, 2.610774040222168, 11.403099060058594, 12.443502426147461, 0.5211493968963623, 5600, 9.723866649812655e-05]
2023-02-08 02:15:37,044 32k INFO ====> Epoch: 225
2023-02-08 02:16:04,395 32k INFO ====> Epoch: 226
2023-02-08 02:16:31,750 32k INFO ====> Epoch: 227
2023-02-08 02:16:59,035 32k INFO ====> Epoch: 228
2023-02-08 02:17:26,476 32k INFO ====> Epoch: 229
2023-02-08 02:17:53,738 32k INFO ====> Epoch: 230
2023-02-08 02:18:20,919 32k INFO ====> Epoch: 231
2023-02-08 02:18:48,198 32k INFO ====> Epoch: 232
2023-02-08 02:18:52,346 32k INFO Train Epoch: 233 [0%]
2023-02-08 02:18:52,346 32k INFO [2.3441879749298096, 2.331740617752075, 9.990554809570312, 12.5416898727417, 0.9520589113235474, 5800, 9.714147036291117e-05]
2023-02-08 02:19:15,814 32k INFO ====> Epoch: 233
2023-02-08 02:19:43,150 32k INFO ====> Epoch: 234
2023-02-08 02:20:10,397 32k INFO ====> Epoch: 235
2023-02-08 02:20:37,712 32k INFO ====> Epoch: 236
2023-02-08 02:21:05,032 32k INFO ====> Epoch: 237
2023-02-08 02:21:32,328 32k INFO ====> Epoch: 238
2023-02-08 02:21:59,642 32k INFO ====> Epoch: 239
2023-02-08 02:22:27,112 32k INFO ====> Epoch: 240
2023-02-08 02:22:31,253 32k INFO Train Epoch: 241 [0%]
2023-02-08 02:22:31,253 32k INFO [2.5080859661102295, 1.9841022491455078, 7.942975997924805, 8.317468643188477, 0.2875758409500122, 6000, 9.704437138131832e-05]
2023-02-08 02:22:35,186 32k INFO Saving model and optimizer state at iteration 241 to ./logs\32k\G_6000.pth
2023-02-08 02:22:52,743 32k INFO Saving model and optimizer state at iteration 241 to ./logs\32k\D_6000.pth
2023-02-08 02:23:19,110 32k INFO ====> Epoch: 241
2023-02-08 02:23:46,503 32k INFO ====> Epoch: 242
2023-02-08 02:24:13,814 32k INFO ====> Epoch: 243
2023-02-08 02:24:41,136 32k INFO ====> Epoch: 244
2023-02-08 02:25:08,478 32k INFO ====> Epoch: 245
2023-02-08 02:25:35,789 32k INFO ====> Epoch: 246
2023-02-08 02:26:03,229 32k INFO ====> Epoch: 247
2023-02-08 02:26:30,544 32k INFO ====> Epoch: 248
2023-02-08 02:26:34,763 32k INFO Train Epoch: 249 [0%]
2023-02-08 02:26:34,763 32k INFO [2.452826738357544, 2.3427398204803467, 11.6181640625, 14.64543628692627, 0.8117032647132874, 6200, 9.694736945623688e-05]
2023-02-08 02:26:58,209 32k INFO ====> Epoch: 249
2023-02-08 02:27:25,564 32k INFO ====> Epoch: 250
2023-02-08 02:27:52,875 32k INFO ====> Epoch: 251
2023-02-08 02:28:20,097 32k INFO ====> Epoch: 252
2023-02-08 02:28:47,480 32k INFO ====> Epoch: 253
2023-02-08 02:29:14,779 32k INFO ====> Epoch: 254
2023-02-08 02:29:42,107 32k INFO ====> Epoch: 255
2023-02-08 02:30:09,634 32k INFO ====> Epoch: 256
2023-02-08 02:30:13,842 32k INFO Train Epoch: 257 [0%]
2023-02-08 02:30:13,842 32k INFO [2.4272546768188477, 2.2436978816986084, 9.946599006652832, 11.734719276428223, 0.7369458675384521, 6400, 9.685046449065278e-05]
2023-02-08 02:30:37,267 32k INFO ====> Epoch: 257
2023-02-08 02:31:04,548 32k INFO ====> Epoch: 258
2023-02-08 02:31:31,808 32k INFO ====> Epoch: 259
2023-02-08 02:31:59,116 32k INFO ====> Epoch: 260
2023-02-08 02:32:26,521 32k INFO ====> Epoch: 261
2023-02-08 02:32:53,826 32k INFO ====> Epoch: 262
2023-02-08 02:33:21,109 32k INFO ====> Epoch: 263
2023-02-08 02:33:48,363 32k INFO ====> Epoch: 264
2023-02-08 02:33:52,532 32k INFO Train Epoch: 265 [0%]
2023-02-08 02:33:52,532 32k INFO [2.3036022186279297, 2.266536235809326, 11.339153289794922, 11.697287559509277, 0.5002912878990173, 6600, 9.675365638764893e-05]
2023-02-08 02:34:16,078 32k INFO ====> Epoch: 265
2023-02-08 02:34:43,563 32k INFO ====> Epoch: 266
2023-02-08 02:35:11,059 32k INFO ====> Epoch: 267
2023-02-08 02:35:38,371 32k INFO ====> Epoch: 268
2023-02-08 02:36:05,730 32k INFO ====> Epoch: 269
2023-02-08 02:36:33,042 32k INFO ====> Epoch: 270
2023-02-08 02:37:00,381 32k INFO ====> Epoch: 271
2023-02-08 02:37:27,702 32k INFO ====> Epoch: 272
2023-02-08 02:37:31,902 32k INFO Train Epoch: 273 [0%]
2023-02-08 02:37:31,902 32k INFO [2.262617588043213, 2.50158953666687, 13.019706726074219, 15.875764846801758, 1.03751540184021, 6800, 9.665694505040515e-05]
2023-02-08 02:37:55,366 32k INFO ====> Epoch: 273
2023-02-08 02:38:22,666 32k INFO ====> Epoch: 274
2023-02-08 02:38:49,975 32k INFO ====> Epoch: 275
2023-02-08 02:39:17,306 32k INFO ====> Epoch: 276
2023-02-08 02:39:44,608 32k INFO ====> Epoch: 277
2023-02-08 02:40:11,986 32k INFO ====> Epoch: 278
2023-02-08 02:40:39,425 32k INFO ====> Epoch: 279
2023-02-08 02:41:06,609 32k INFO ====> Epoch: 280
2023-02-08 02:41:10,808 32k INFO Train Epoch: 281 [0%]
2023-02-08 02:41:10,809 32k INFO [2.162160634994507, 2.698219060897827, 14.393352508544922, 18.864028930664062, 1.0300859212875366, 7000, 9.656033038219798e-05]
2023-02-08 02:41:14,777 32k INFO Saving model and optimizer state at iteration 281 to ./logs\32k\G_7000.pth
2023-02-08 02:41:31,236 32k INFO Saving model and optimizer state at iteration 281 to ./logs\32k\D_7000.pth
2023-02-08 02:41:58,207 32k INFO ====> Epoch: 281
2023-02-08 02:42:25,983 32k INFO ====> Epoch: 282
2023-02-08 02:42:53,312 32k INFO ====> Epoch: 283
2023-02-08 02:43:20,719 32k INFO ====> Epoch: 284
2023-02-08 02:43:47,986 32k INFO ====> Epoch: 285
2023-02-08 02:44:15,249 32k INFO ====> Epoch: 286
2023-02-08 02:44:42,487 32k INFO ====> Epoch: 287
2023-02-08 02:45:09,747 32k INFO ====> Epoch: 288
2023-02-08 02:45:13,886 32k INFO Train Epoch: 289 [0%]
2023-02-08 02:45:13,886 32k INFO [2.010039806365967, 2.87096905708313, 12.889437675476074, 12.926807403564453, 0.6265214085578918, 7200, 9.646381228640066e-05]
2023-02-08 02:45:37,288 32k INFO ====> Epoch: 289
2023-02-08 02:46:04,661 32k INFO ====> Epoch: 290
2023-02-08 02:46:32,000 32k INFO ====> Epoch: 291
2023-02-08 02:46:59,375 32k INFO ====> Epoch: 292
2023-02-08 02:47:26,660 32k INFO ====> Epoch: 293
2023-02-08 02:47:54,008 32k INFO ====> Epoch: 294
2023-02-08 02:48:21,334 32k INFO ====> Epoch: 295
2023-02-08 02:48:48,549 32k INFO ====> Epoch: 296
2023-02-08 02:48:52,758 32k INFO Train Epoch: 297 [0%]
2023-02-08 02:48:52,758 32k INFO [2.342231273651123, 2.5635156631469727, 9.271632194519043, 9.908394813537598, 0.7690855860710144, 7400, 9.636739066648303e-05]
2023-02-08 02:49:16,175 32k INFO ====> Epoch: 297
2023-02-08 02:49:43,599 32k INFO ====> Epoch: 298
2023-02-08 02:50:11,085 32k INFO ====> Epoch: 299
2023-02-08 02:50:38,433 32k INFO ====> Epoch: 300
2023-02-08 02:51:05,715 32k INFO ====> Epoch: 301
2023-02-08 02:51:33,068 32k INFO ====> Epoch: 302
2023-02-08 02:52:00,325 32k INFO ====> Epoch: 303
2023-02-08 02:52:27,805 32k INFO ====> Epoch: 304
2023-02-08 02:52:32,033 32k INFO Train Epoch: 305 [0%]
2023-02-08 02:52:32,034 32k INFO [2.2463247776031494, 2.844965934753418, 12.248766899108887, 15.859850883483887, 0.5185592174530029, 7600, 9.627106542601141e-05]
2023-02-08 02:52:55,335 32k INFO ====> Epoch: 305
2023-02-08 02:53:22,736 32k INFO ====> Epoch: 306
2023-02-08 02:53:50,087 32k INFO ====> Epoch: 307
2023-02-08 02:54:17,403 32k INFO ====> Epoch: 308
2023-02-08 02:54:44,903 32k INFO ====> Epoch: 309
2023-02-08 02:55:12,222 32k INFO ====> Epoch: 310
2023-02-08 02:55:39,508 32k INFO ====> Epoch: 311
2023-02-08 02:56:06,839 32k INFO ====> Epoch: 312
2023-02-08 02:56:11,042 32k INFO Train Epoch: 313 [0%]
2023-02-08 02:56:11,042 32k INFO [2.121849536895752, 2.667703151702881, 12.128918647766113, 13.409639358520508, 0.6950944066047668, 7800, 9.617483646864849e-05]
2023-02-08 02:56:34,411 32k INFO ====> Epoch: 313
2023-02-08 02:57:01,767 32k INFO ====> Epoch: 314
2023-02-08 02:57:29,039 32k INFO ====> Epoch: 315
2023-02-08 02:57:56,359 32k INFO ====> Epoch: 316
2023-02-08 02:58:23,743 32k INFO ====> Epoch: 317
2023-02-08 02:58:50,991 32k INFO ====> Epoch: 318
2023-02-08 02:59:18,295 32k INFO ====> Epoch: 319
2023-02-08 02:59:45,581 32k INFO ====> Epoch: 320
2023-02-08 02:59:49,727 32k INFO Train Epoch: 321 [0%]
2023-02-08 02:59:49,727 32k INFO [2.147108316421509, 2.887037754058838, 12.949373245239258, 17.191295623779297, 0.8203359246253967, 8000, 9.60787036981533e-05]
2023-02-08 02:59:53,768 32k INFO Saving model and optimizer state at iteration 321 to ./logs\32k\G_8000.pth
2023-02-08 03:00:11,515 32k INFO Saving model and optimizer state at iteration 321 to ./logs\32k\D_8000.pth
2023-02-08 03:00:38,329 32k INFO ====> Epoch: 321
2023-02-08 03:01:05,949 32k INFO ====> Epoch: 322
2023-02-08 03:01:33,344 32k INFO ====> Epoch: 323
2023-02-08 03:02:00,520 32k INFO ====> Epoch: 324
2023-02-08 03:02:27,991 32k INFO ====> Epoch: 325
2023-02-08 03:02:55,339 32k INFO ====> Epoch: 326
2023-02-08 03:03:22,685 32k INFO ====> Epoch: 327
2023-02-08 03:03:49,897 32k INFO ====> Epoch: 328
2023-02-08 03:03:54,064 32k INFO Train Epoch: 329 [0%]
2023-02-08 03:03:54,065 32k INFO [2.4366536140441895, 2.547623872756958, 11.483694076538086, 15.661296844482422, 0.8165431618690491, 8200, 9.5982667018381e-05]
2023-02-08 03:04:17,416 32k INFO ====> Epoch: 329
2023-02-08 03:04:44,737 32k INFO ====> Epoch: 330
2023-02-08 03:05:12,041 32k INFO ====> Epoch: 331
2023-02-08 03:05:39,298 32k INFO ====> Epoch: 332
2023-02-08 03:06:06,632 32k INFO ====> Epoch: 333
2023-02-08 03:06:33,914 32k INFO ====> Epoch: 334
2023-02-08 03:07:01,301 32k INFO ====> Epoch: 335
2023-02-08 03:07:28,602 32k INFO ====> Epoch: 336
2023-02-08 03:07:32,794 32k INFO Train Epoch: 337 [0%]
2023-02-08 03:07:32,795 32k INFO [2.2412776947021484, 2.6190314292907715, 10.803937911987305, 11.905354499816895, 0.4731971025466919, 8400, 9.588672633328296e-05]
2023-02-08 03:07:56,348 32k INFO ====> Epoch: 337
2023-02-08 03:08:23,691 32k INFO ====> Epoch: 338
2023-02-08 03:08:50,871 32k INFO ====> Epoch: 339
2023-02-08 03:09:18,169 32k INFO ====> Epoch: 340
2023-02-08 03:09:45,504 32k INFO ====> Epoch: 341
2023-02-08 03:10:12,816 32k INFO ====> Epoch: 342
2023-02-08 03:10:40,197 32k INFO ====> Epoch: 343
2023-02-08 03:11:07,614 32k INFO ====> Epoch: 344
2023-02-08 03:11:11,836 32k INFO Train Epoch: 345 [0%]
2023-02-08 03:11:11,836 32k INFO [2.2570993900299072, 2.4331893920898438, 11.056769371032715, 14.116981506347656, 0.9036707282066345, 8600, 9.579088154690645e-05]
2023-02-08 03:11:35,208 32k INFO ====> Epoch: 345
2023-02-08 03:12:02,448 32k INFO ====> Epoch: 346
2023-02-08 03:12:29,808 32k INFO ====> Epoch: 347
2023-02-08 03:12:57,134 32k INFO ====> Epoch: 348
2023-02-08 03:13:24,557 32k INFO ====> Epoch: 349
2023-02-08 03:13:51,882 32k INFO ====> Epoch: 350
2023-02-08 03:14:19,094 32k INFO ====> Epoch: 351
2023-02-08 03:14:46,395 32k INFO ====> Epoch: 352
2023-02-08 03:14:50,582 32k INFO Train Epoch: 353 [0%]
2023-02-08 03:14:50,583 32k INFO [2.287942886352539, 2.57476544380188, 11.438376426696777, 14.167613983154297, 0.9073778986930847, 8800, 9.569513256339471e-05]
2023-02-08 03:15:13,964 32k INFO ====> Epoch: 353
2023-02-08 03:15:41,214 32k INFO ====> Epoch: 354
2023-02-08 03:16:08,462 32k INFO ====> Epoch: 355
2023-02-08 03:16:35,711 32k INFO ====> Epoch: 356
2023-02-08 03:17:03,099 32k INFO ====> Epoch: 357
2023-02-08 03:17:30,332 32k INFO ====> Epoch: 358
2023-02-08 03:17:57,695 32k INFO ====> Epoch: 359
2023-02-08 03:18:25,002 32k INFO ====> Epoch: 360
2023-02-08 03:18:29,220 32k INFO Train Epoch: 361 [0%]
2023-02-08 03:18:29,220 32k INFO [2.2878177165985107, 2.54375958442688, 12.13935661315918, 15.77564525604248, 1.0138167142868042, 9000, 9.559947928698674e-05]
2023-02-08 03:18:33,143 32k INFO Saving model and optimizer state at iteration 361 to ./logs\32k\G_9000.pth
2023-02-08 03:18:48,001 32k INFO Saving model and optimizer state at iteration 361 to ./logs\32k\D_9000.pth
2023-02-08 03:19:15,037 32k INFO ====> Epoch: 361
2023-02-08 03:19:42,573 32k INFO ====> Epoch: 362
2023-02-08 03:20:09,959 32k INFO ====> Epoch: 363
2023-02-08 03:20:37,214 32k INFO ====> Epoch: 364
2023-02-08 03:21:04,435 32k INFO ====> Epoch: 365
2023-02-08 03:21:31,700 32k INFO ====> Epoch: 366
2023-02-08 03:21:59,107 32k INFO ====> Epoch: 367
2023-02-08 03:22:26,359 32k INFO ====> Epoch: 368
2023-02-08 03:22:30,508 32k INFO Train Epoch: 369 [0%]
2023-02-08 03:22:30,508 32k INFO [2.3314597606658936, 2.450019598007202, 12.10545825958252, 14.815366744995117, 0.7326988577842712, 9200, 9.550392162201736e-05]
2023-02-08 03:22:53,877 32k INFO ====> Epoch: 369
2023-02-08 03:23:21,207 32k INFO ====> Epoch: 370
2023-02-08 03:23:48,529 32k INFO ====> Epoch: 371
2023-02-08 03:24:15,906 32k INFO ====> Epoch: 372
2023-02-08 03:24:43,215 32k INFO ====> Epoch: 373
2023-02-08 03:25:10,648 32k INFO ====> Epoch: 374
2023-02-08 03:25:37,891 32k INFO ====> Epoch: 375
2023-02-08 03:26:05,145 32k INFO ====> Epoch: 376
2023-02-08 03:26:09,287 32k INFO Train Epoch: 377 [0%]
2023-02-08 03:26:09,288 32k INFO [2.2828500270843506, 2.561128616333008, 11.394051551818848, 13.558812141418457, 0.5335276126861572, 9400, 9.540845947291691e-05]
2023-02-08 03:26:32,841 32k INFO ====> Epoch: 377
2023-02-08 03:27:00,053 32k INFO ====> Epoch: 378
2023-02-08 03:27:27,407 32k INFO ====> Epoch: 379
2023-02-08 03:27:54,754 32k INFO ====> Epoch: 380
2023-02-08 03:28:22,080 32k INFO ====> Epoch: 381
2023-02-08 03:28:49,448 32k INFO ====> Epoch: 382
2023-02-08 03:29:16,704 32k INFO ====> Epoch: 383
2023-02-08 03:29:44,130 32k INFO ====> Epoch: 384
2023-02-08 03:29:48,337 32k INFO Train Epoch: 385 [0%]
2023-02-08 03:29:48,337 32k INFO [2.282940149307251, 2.5302491188049316, 9.065263748168945, 10.31766128540039, 0.8583642244338989, 9600, 9.53130927442113e-05]
2023-02-08 03:30:11,735 32k INFO ====> Epoch: 385
2023-02-08 03:30:38,976 32k INFO ====> Epoch: 386
2023-02-08 03:31:06,205 32k INFO ====> Epoch: 387
2023-02-08 03:31:33,556 32k INFO ====> Epoch: 388
2023-02-08 03:32:01,044 32k INFO ====> Epoch: 389
2023-02-08 03:32:31,635 32k INFO ====> Epoch: 390
2023-02-08 03:33:01,273 32k INFO ====> Epoch: 391
2023-02-08 03:33:33,118 32k INFO ====> Epoch: 392
2023-02-08 03:33:40,244 32k INFO Train Epoch: 393 [0%]
2023-02-08 03:33:40,245 32k INFO [2.253279447555542, 2.5851097106933594, 11.772272109985352, 14.179906845092773, 0.6320822238922119, 9800, 9.52178213405219e-05]
2023-02-08 03:34:04,139 32k INFO ====> Epoch: 393
2023-02-08 03:34:33,223 32k INFO ====> Epoch: 394
2023-02-08 03:35:04,641 32k INFO ====> Epoch: 395
2023-02-08 03:35:32,438 32k INFO ====> Epoch: 396
2023-02-08 03:36:02,881 32k INFO ====> Epoch: 397
2023-02-08 03:36:35,050 32k INFO ====> Epoch: 398
2023-02-08 03:37:06,190 32k INFO ====> Epoch: 399
2023-02-08 03:37:37,465 32k INFO ====> Epoch: 400
2023-02-08 03:37:41,732 32k INFO Train Epoch: 401 [0%]
2023-02-08 03:37:41,733 32k INFO [2.0978877544403076, 2.921889066696167, 13.209803581237793, 14.5946626663208, 0.7456355690956116, 10000, 9.512264516656537e-05]
2023-02-08 03:37:45,672 32k INFO Saving model and optimizer state at iteration 401 to ./logs\32k\G_10000.pth
2023-02-08 03:38:03,806 32k INFO Saving model and optimizer state at iteration 401 to ./logs\32k\D_10000.pth
2023-02-08 03:38:30,452 32k INFO ====> Epoch: 401
2023-02-08 03:38:57,975 32k INFO ====> Epoch: 402
2023-02-08 03:39:25,401 32k INFO ====> Epoch: 403
2023-02-08 03:39:52,860 32k INFO ====> Epoch: 404
2023-02-08 03:40:20,076 32k INFO ====> Epoch: 405
2023-02-08 03:40:47,348 32k INFO ====> Epoch: 406
2023-02-08 03:41:14,578 32k INFO ====> Epoch: 407
2023-02-08 03:41:41,742 32k INFO ====> Epoch: 408
2023-02-08 03:41:45,902 32k INFO Train Epoch: 409 [0%]
2023-02-08 03:41:45,902 32k INFO [2.3240926265716553, 2.384178876876831, 11.103528022766113, 14.508912086486816, 0.6930555105209351, 10200, 9.502756412715364e-05]
2023-02-08 03:42:09,443 32k INFO ====> Epoch: 409
2023-02-08 03:42:36,834 32k INFO ====> Epoch: 410
2023-02-08 03:43:04,583 32k INFO ====> Epoch: 411
2023-02-08 03:43:31,993 32k INFO ====> Epoch: 412
2023-02-08 03:43:59,343 32k INFO ====> Epoch: 413
2023-02-08 03:44:26,812 32k INFO ====> Epoch: 414
2023-02-08 03:44:54,129 32k INFO ====> Epoch: 415
2023-02-08 03:45:21,453 32k INFO ====> Epoch: 416
2023-02-08 03:45:25,645 32k INFO Train Epoch: 417 [0%]
2023-02-08 03:45:25,645 32k INFO [2.2724084854125977, 2.547604560852051, 12.439881324768066, 16.174009323120117, 0.37340259552001953, 10400, 9.493257812719373e-05]
2023-02-08 03:45:49,049 32k INFO ====> Epoch: 417
2023-02-08 03:46:16,366 32k INFO ====> Epoch: 418
2023-02-08 03:46:43,759 32k INFO ====> Epoch: 419
2023-02-08 03:47:11,059 32k INFO ====> Epoch: 420
2023-02-08 03:47:38,358 32k INFO ====> Epoch: 421
2023-02-08 03:48:05,671 32k INFO ====> Epoch: 422
2023-02-08 03:48:32,981 32k INFO ====> Epoch: 423
2023-02-08 03:49:00,269 32k INFO ====> Epoch: 424
2023-02-08 03:49:04,486 32k INFO Train Epoch: 425 [0%]
2023-02-08 03:49:04,486 32k INFO [2.3226478099823, 2.7721643447875977, 11.367083549499512, 11.998846054077148, 0.6971189975738525, 10600, 9.483768707168782e-05]
2023-02-08 03:49:27,821 32k INFO ====> Epoch: 425
2023-02-08 03:49:55,141 32k INFO ====> Epoch: 426
2023-02-08 03:50:22,420 32k INFO ====> Epoch: 427
2023-02-08 03:50:49,821 32k INFO ====> Epoch: 428
2023-02-08 03:51:17,024 32k INFO ====> Epoch: 429
2023-02-08 03:51:44,387 32k INFO ====> Epoch: 430
2023-02-08 03:52:11,690 32k INFO ====> Epoch: 431
2023-02-08 03:52:39,073 32k INFO ====> Epoch: 432
2023-02-08 03:52:43,247 32k INFO Train Epoch: 433 [0%]
2023-02-08 03:52:43,248 32k INFO [2.32169508934021, 2.7997512817382812, 12.397420883178711, 14.081243515014648, 0.33711162209510803, 10800, 9.474289086573296e-05]
2023-02-08 03:53:06,745 32k INFO ====> Epoch: 433
2023-02-08 03:53:34,017 32k INFO ====> Epoch: 434
2023-02-08 03:54:01,327 32k INFO ====> Epoch: 435
2023-02-08 03:54:28,677 32k INFO ====> Epoch: 436
2023-02-08 03:54:55,921 32k INFO ====> Epoch: 437
2023-02-08 03:55:23,224 32k INFO ====> Epoch: 438
2023-02-08 03:55:50,468 32k INFO ====> Epoch: 439
2023-02-08 03:56:17,764 32k INFO ====> Epoch: 440
2023-02-08 03:56:21,936 32k INFO Train Epoch: 441 [0%]
2023-02-08 03:56:21,936 32k INFO [2.2733325958251953, 2.6120946407318115, 12.558866500854492, 17.228044509887695, 0.8264510035514832, 11000, 9.464818941452107e-05]
2023-02-08 03:56:25,994 32k INFO Saving model and optimizer state at iteration 441 to ./logs\32k\G_11000.pth
2023-02-08 03:56:41,195 32k INFO Saving model and optimizer state at iteration 441 to ./logs\32k\D_11000.pth
2023-02-08 03:57:07,860 32k INFO ====> Epoch: 441
2023-02-08 03:57:35,550 32k INFO ====> Epoch: 442
2023-02-08 03:58:02,900 32k INFO ====> Epoch: 443
2023-02-08 03:58:30,228 32k INFO ====> Epoch: 444
2023-02-08 03:58:57,589 32k INFO ====> Epoch: 445
2023-02-08 03:59:24,927 32k INFO ====> Epoch: 446
2023-02-08 03:59:52,229 32k INFO ====> Epoch: 447
2023-02-08 04:00:19,539 32k INFO ====> Epoch: 448
2023-02-08 04:00:23,751 32k INFO Train Epoch: 449 [0%]
2023-02-08 04:00:23,751 32k INFO [2.05672025680542, 2.8778491020202637, 14.132246017456055, 17.638010025024414, 0.6873013973236084, 11200, 9.455358262333887e-05]
2023-02-08 04:00:47,253 32k INFO ====> Epoch: 449
2023-02-08 04:01:14,509 32k INFO ====> Epoch: 450
2023-02-08 04:01:41,879 32k INFO ====> Epoch: 451
2023-02-08 04:02:09,197 32k INFO ====> Epoch: 452
2023-02-08 04:02:36,443 32k INFO ====> Epoch: 453
2023-02-08 04:03:03,685 32k INFO ====> Epoch: 454
2023-02-08 04:03:30,992 32k INFO ====> Epoch: 455
2023-02-08 04:03:58,391 32k INFO ====> Epoch: 456
2023-02-08 04:04:02,589 32k INFO Train Epoch: 457 [0%]
2023-02-08 04:04:02,590 32k INFO [2.292281150817871, 2.4880197048187256, 10.46784496307373, 10.515823364257812, 0.9686731696128845, 11400, 9.445907039756771e-05]
2023-02-08 04:04:26,036 32k INFO ====> Epoch: 457
2023-02-08 04:04:53,426 32k INFO ====> Epoch: 458
2023-02-08 04:05:20,706 32k INFO ====> Epoch: 459
2023-02-08 04:05:47,979 32k INFO ====> Epoch: 460
2023-02-08 04:06:15,254 32k INFO ====> Epoch: 461
2023-02-08 04:06:42,637 32k INFO ====> Epoch: 462
2023-02-08 04:07:10,007 32k INFO ====> Epoch: 463
2023-02-08 04:07:37,375 32k INFO ====> Epoch: 464
2023-02-08 04:07:41,577 32k INFO Train Epoch: 465 [0%]
2023-02-08 04:07:41,577 32k INFO [2.030771017074585, 2.7482311725616455, 13.505212783813477, 16.34544563293457, 0.7294604778289795, 11600, 9.436465264268356e-05]
2023-02-08 04:08:04,996 32k INFO ====> Epoch: 465
2023-02-08 04:08:32,368 32k INFO ====> Epoch: 466
2023-02-08 04:08:59,603 32k INFO ====> Epoch: 467
2023-02-08 04:09:26,876 32k INFO ====> Epoch: 468
2023-02-08 04:09:54,067 32k INFO ====> Epoch: 469
2023-02-08 04:10:21,335 32k INFO ====> Epoch: 470
2023-02-08 04:10:48,629 32k INFO ====> Epoch: 471
2023-02-08 04:11:15,864 32k INFO ====> Epoch: 472
2023-02-08 04:11:20,074 32k INFO Train Epoch: 473 [0%]
2023-02-08 04:11:20,074 32k INFO [2.159066915512085, 2.8633785247802734, 10.3993558883667, 12.172042846679688, 0.7695336937904358, 11800, 9.427032926425684e-05]
2023-02-08 04:11:43,449 32k INFO ====> Epoch: 473
2023-02-08 04:12:10,691 32k INFO ====> Epoch: 474
2023-02-08 04:12:37,987 32k INFO ====> Epoch: 475
2023-02-08 04:13:05,356 32k INFO ====> Epoch: 476
2023-02-08 04:13:32,564 32k INFO ====> Epoch: 477
2023-02-08 04:13:59,852 32k INFO ====> Epoch: 478
2023-02-08 04:14:27,177 32k INFO ====> Epoch: 479
2023-02-08 04:14:54,499 32k INFO ====> Epoch: 480
2023-02-08 04:14:58,688 32k INFO Train Epoch: 481 [0%]
2023-02-08 04:14:58,689 32k INFO [2.2857413291931152, 2.43095326423645, 10.681792259216309, 11.979484558105469, 0.5985100269317627, 12000, 9.417610016795242e-05]
2023-02-08 04:15:02,599 32k INFO Saving model and optimizer state at iteration 481 to ./logs\32k\G_12000.pth
2023-02-08 04:15:18,566 32k INFO Saving model and optimizer state at iteration 481 to ./logs\32k\D_12000.pth
2023-02-08 04:15:45,231 32k INFO ====> Epoch: 481
2023-02-08 04:16:12,980 32k INFO ====> Epoch: 482
2023-02-08 04:16:40,361 32k INFO ====> Epoch: 483
2023-02-08 04:17:07,855 32k INFO ====> Epoch: 484
2023-02-08 04:17:35,478 32k INFO ====> Epoch: 485
2023-02-08 04:18:03,150 32k INFO ====> Epoch: 486
2023-02-08 04:18:30,403 32k INFO ====> Epoch: 487
2023-02-08 04:18:57,636 32k INFO ====> Epoch: 488
2023-02-08 04:19:01,812 32k INFO Train Epoch: 489 [0%]
2023-02-08 04:19:01,813 32k INFO [2.2812325954437256, 2.575956344604492, 11.178587913513184, 11.532303810119629, 0.8416074514389038, 12200, 9.408196525952938e-05]
2023-02-08 04:19:25,163 32k INFO ====> Epoch: 489
2023-02-08 04:19:52,558 32k INFO ====> Epoch: 490
2023-02-08 04:20:19,879 32k INFO ====> Epoch: 491
2023-02-08 04:20:47,126 32k INFO ====> Epoch: 492
2023-02-08 04:21:14,376 32k INFO ====> Epoch: 493
2023-02-08 04:21:41,599 32k INFO ====> Epoch: 494
2023-02-08 04:22:08,815 32k INFO ====> Epoch: 495
2023-02-08 04:22:36,071 32k INFO ====> Epoch: 496
2023-02-08 04:22:40,329 32k INFO Train Epoch: 497 [0%]
2023-02-08 04:22:40,329 32k INFO [2.1231112480163574, 2.779900312423706, 12.488746643066406, 14.153047561645508, 0.9481232762336731, 12400, 9.398792444484102e-05]
2023-02-08 04:23:03,768 32k INFO ====> Epoch: 497
2023-02-08 04:23:30,982 32k INFO ====> Epoch: 498
2023-02-08 04:23:58,315 32k INFO ====> Epoch: 499
2023-02-08 04:24:25,692 32k INFO ====> Epoch: 500
2023-02-08 04:24:53,014 32k INFO ====> Epoch: 501
2023-02-08 04:25:20,371 32k INFO ====> Epoch: 502
2023-02-08 04:25:47,636 32k INFO ====> Epoch: 503
2023-02-08 04:26:14,927 32k INFO ====> Epoch: 504
2023-02-08 04:26:19,144 32k INFO Train Epoch: 505 [0%]
2023-02-08 04:26:19,144 32k INFO [2.0394186973571777, 2.803391456604004, 11.954682350158691, 10.25994873046875, 0.9675759077072144, 12600, 9.389397762983476e-05]
2023-02-08 04:26:42,576 32k INFO ====> Epoch: 505
2023-02-08 04:27:09,825 32k INFO ====> Epoch: 506
2023-02-08 04:27:37,051 32k INFO ====> Epoch: 507
2023-02-08 04:28:04,398 32k INFO ====> Epoch: 508
2023-02-08 04:28:31,776 32k INFO ====> Epoch: 509
2023-02-08 04:28:59,056 32k INFO ====> Epoch: 510
2023-02-08 04:29:26,325 32k INFO ====> Epoch: 511
2023-02-08 04:29:53,542 32k INFO ====> Epoch: 512
2023-02-08 04:29:57,734 32k INFO Train Epoch: 513 [0%]
2023-02-08 04:29:57,735 32k INFO [2.1518046855926514, 2.7246832847595215, 12.271919250488281, 16.132497787475586, 0.7002079486846924, 12800, 9.380012472055207e-05]
2023-02-08 04:30:21,108 32k INFO ====> Epoch: 513
2023-02-08 04:30:48,377 32k INFO ====> Epoch: 514
2023-02-08 04:31:15,754 32k INFO ====> Epoch: 515
2023-02-08 04:31:42,984 32k INFO ====> Epoch: 516
2023-02-08 04:32:10,304 32k INFO ====> Epoch: 517
2023-02-08 04:32:37,670 32k INFO ====> Epoch: 518
2023-02-08 04:33:04,973 32k INFO ====> Epoch: 519
2023-02-08 04:33:32,308 32k INFO ====> Epoch: 520
2023-02-08 04:33:36,488 32k INFO Train Epoch: 521 [0%]
2023-02-08 04:33:36,489 32k INFO [2.4601314067840576, 2.80077862739563, 11.18460464477539, 11.13083267211914, 0.8962857723236084, 13000, 9.370636562312829e-05]
2023-02-08 04:33:40,415 32k INFO Saving model and optimizer state at iteration 521 to ./logs\32k\G_13000.pth
2023-02-08 04:33:55,731 32k INFO Saving model and optimizer state at iteration 521 to ./logs\32k\D_13000.pth
2023-02-08 04:34:22,123 32k INFO ====> Epoch: 521
2023-02-08 04:34:49,816 32k INFO ====> Epoch: 522
2023-02-08 04:35:17,170 32k INFO ====> Epoch: 523
2023-02-08 04:35:44,543 32k INFO ====> Epoch: 524
2023-02-08 04:36:11,899 32k INFO ====> Epoch: 525
2023-02-08 04:36:39,083 32k INFO ====> Epoch: 526
2023-02-08 04:37:06,494 32k INFO ====> Epoch: 527
2023-02-08 04:37:33,871 32k INFO ====> Epoch: 528
2023-02-08 04:37:38,051 32k INFO Train Epoch: 529 [0%]
2023-02-08 04:37:38,051 32k INFO [2.1754751205444336, 2.545199394226074, 11.565674781799316, 13.709518432617188, 0.35325658321380615, 13200, 9.361270024379255e-05]
2023-02-08 04:38:01,464 32k INFO ====> Epoch: 529
2023-02-08 04:38:28,853 32k INFO ====> Epoch: 530
2023-02-08 04:38:56,178 32k INFO ====> Epoch: 531
2023-02-08 04:39:23,438 32k INFO ====> Epoch: 532
2023-02-08 04:39:50,870 32k INFO ====> Epoch: 533
2023-02-08 04:40:18,126 32k INFO ====> Epoch: 534
2023-02-08 04:40:45,343 32k INFO ====> Epoch: 535
2023-02-08 04:41:12,717 32k INFO ====> Epoch: 536
2023-02-08 04:41:16,914 32k INFO Train Epoch: 537 [0%]
2023-02-08 04:41:16,914 32k INFO [2.2263054847717285, 2.4256317615509033, 10.050114631652832, 10.265143394470215, 0.8538156747817993, 13400, 9.351912848886779e-05]
2023-02-08 04:41:40,305 32k INFO ====> Epoch: 537
2023-02-08 04:42:07,585 32k INFO ====> Epoch: 538
2023-02-08 04:42:34,836 32k INFO ====> Epoch: 539
2023-02-08 04:43:02,134 32k INFO ====> Epoch: 540
2023-02-08 04:43:29,398 32k INFO ====> Epoch: 541
2023-02-08 04:43:56,718 32k INFO ====> Epoch: 542
2023-02-08 04:44:24,154 32k INFO ====> Epoch: 543
2023-02-08 04:44:51,475 32k INFO ====> Epoch: 544
2023-02-08 04:44:55,643 32k INFO Train Epoch: 545 [0%]
2023-02-08 04:44:55,644 32k INFO [2.2277936935424805, 2.676403522491455, 11.242952346801758, 16.341636657714844, 0.5803546905517578, 13600, 9.342565026477056e-05]
2023-02-08 04:45:19,083 32k INFO ====> Epoch: 545
2023-02-08 04:45:46,402 32k INFO ====> Epoch: 546
2023-02-08 04:46:13,844 32k INFO ====> Epoch: 547
2023-02-08 04:46:41,069 32k INFO ====> Epoch: 548
2023-02-08 04:47:08,245 32k INFO ====> Epoch: 549
2023-02-08 04:47:35,560 32k INFO ====> Epoch: 550
2023-02-08 04:48:02,885 32k INFO ====> Epoch: 551
2023-02-08 04:48:30,128 32k INFO ====> Epoch: 552
2023-02-08 04:48:34,283 32k INFO Train Epoch: 553 [0%]
2023-02-08 04:48:34,283 32k INFO [2.1541035175323486, 2.7857322692871094, 10.475933074951172, 11.850566864013672, 0.690360426902771, 13800, 9.33322654780109e-05]
2023-02-08 04:48:57,648 32k INFO ====> Epoch: 553
2023-02-08 04:49:24,855 32k INFO ====> Epoch: 554
2023-02-08 04:49:52,207 32k INFO ====> Epoch: 555
2023-02-08 04:50:19,536 32k INFO ====> Epoch: 556
2023-02-08 04:50:46,969 32k INFO ====> Epoch: 557
2023-02-08 04:51:14,359 32k INFO ====> Epoch: 558
2023-02-08 04:51:41,807 32k INFO ====> Epoch: 559
2023-02-08 04:52:09,046 32k INFO ====> Epoch: 560
2023-02-08 04:52:13,221 32k INFO Train Epoch: 561 [0%]
2023-02-08 04:52:13,221 32k INFO [2.2220325469970703, 2.7612452507019043, 12.211030960083008, 14.910235404968262, 0.8933442234992981, 14000, 9.323897403519238e-05]
2023-02-08 04:52:17,118 32k INFO Saving model and optimizer state at iteration 561 to ./logs\32k\G_14000.pth
2023-02-08 04:52:31,973 32k INFO Saving model and optimizer state at iteration 561 to ./logs\32k\D_14000.pth
2023-02-08 04:52:58,736 32k INFO ====> Epoch: 561
2023-02-08 04:53:26,367 32k INFO ====> Epoch: 562
2023-02-08 04:53:53,728 32k INFO ====> Epoch: 563
2023-02-08 04:54:21,084 32k INFO ====> Epoch: 564
2023-02-08 04:54:48,408 32k INFO ====> Epoch: 565
2023-02-08 04:55:15,650 32k INFO ====> Epoch: 566
2023-02-08 04:55:42,985 32k INFO ====> Epoch: 567
2023-02-08 04:56:10,412 32k INFO ====> Epoch: 568
2023-02-08 04:56:14,687 32k INFO Train Epoch: 569 [0%]
2023-02-08 04:56:14,688 32k INFO [2.1629810333251953, 2.7359557151794434, 12.486958503723145, 14.179983139038086, 0.7250053882598877, 14200, 9.314577584301187e-05]
2023-02-08 04:56:38,086 32k INFO ====> Epoch: 569
2023-02-08 04:57:05,357 32k INFO ====> Epoch: 570
2023-02-08 04:57:32,542 32k INFO ====> Epoch: 571
2023-02-08 04:57:59,812 32k INFO ====> Epoch: 572
2023-02-08 04:58:26,978 32k INFO ====> Epoch: 573
2023-02-08 04:58:54,267 32k INFO ====> Epoch: 574
2023-02-08 04:59:21,504 32k INFO ====> Epoch: 575
2023-02-08 04:59:48,893 32k INFO ====> Epoch: 576
2023-02-08 04:59:53,203 32k INFO Train Epoch: 577 [0%]
2023-02-08 04:59:53,204 32k INFO [2.1822826862335205, 2.742067337036133, 12.48687744140625, 14.121838569641113, 0.3434555232524872, 14400, 9.305267080825953e-05]
2023-02-08 05:00:16,583 32k INFO ====> Epoch: 577
2023-02-08 05:00:43,953 32k INFO ====> Epoch: 578
2023-02-08 05:01:11,288 32k INFO ====> Epoch: 579
2023-02-08 05:01:38,540 32k INFO ====> Epoch: 580
2023-02-08 05:02:05,962 32k INFO ====> Epoch: 581
2023-02-08 05:02:33,249 32k INFO ====> Epoch: 582
2023-02-08 05:03:00,552 32k INFO ====> Epoch: 583
2023-02-08 05:03:27,985 32k INFO ====> Epoch: 584
2023-02-08 05:03:32,172 32k INFO Train Epoch: 585 [0%]
2023-02-08 05:03:32,172 32k INFO [2.2915985584259033, 2.772836446762085, 12.269257545471191, 16.47906494140625, 0.6766787767410278, 14600, 9.295965883781867e-05]
2023-02-08 05:03:55,503 32k INFO ====> Epoch: 585
2023-02-08 05:04:22,775 32k INFO ====> Epoch: 586
2023-02-08 05:04:50,091 32k INFO ====> Epoch: 587
2023-02-08 05:05:17,513 32k INFO ====> Epoch: 588
2023-02-08 05:05:44,920 32k INFO ====> Epoch: 589
2023-02-08 05:06:12,120 32k INFO ====> Epoch: 590
2023-02-08 05:06:39,387 32k INFO ====> Epoch: 591
2023-02-08 05:07:06,654 32k INFO ====> Epoch: 592
2023-02-08 05:07:10,845 32k INFO Train Epoch: 593 [0%]
2023-02-08 05:07:10,845 32k INFO [2.330660104751587, 2.686957597732544, 10.816911697387695, 13.418163299560547, 0.6346575617790222, 14800, 9.286673983866569e-05]
2023-02-08 05:07:34,217 32k INFO ====> Epoch: 593
2023-02-08 05:08:01,604 32k INFO ====> Epoch: 594
2023-02-08 05:08:28,880 32k INFO ====> Epoch: 595
2023-02-08 05:08:56,126 32k INFO ====> Epoch: 596
2023-02-08 05:09:23,508 32k INFO ====> Epoch: 597
2023-02-08 05:09:50,776 32k INFO ====> Epoch: 598
2023-02-08 05:10:18,130 32k INFO ====> Epoch: 599
2023-02-08 05:10:45,443 32k INFO ====> Epoch: 600
2023-02-08 05:10:49,697 32k INFO Train Epoch: 601 [0%]
2023-02-08 05:10:49,697 32k INFO [2.2028629779815674, 2.77656888961792, 12.211880683898926, 16.510150909423828, 0.575664222240448, 15000, 9.277391371786995e-05]
2023-02-08 05:10:53,747 32k INFO Saving model and optimizer state at iteration 601 to ./logs\32k\G_15000.pth
2023-02-08 05:11:12,807 32k INFO Saving model and optimizer state at iteration 601 to ./logs\32k\D_15000.pth
2023-02-08 05:11:39,214 32k INFO ====> Epoch: 601
2023-02-08 05:12:06,843 32k INFO ====> Epoch: 602
2023-02-08 05:12:34,304 32k INFO ====> Epoch: 603
2023-02-08 05:13:01,703 32k INFO ====> Epoch: 604
2023-02-08 05:13:28,986 32k INFO ====> Epoch: 605
2023-02-08 05:13:56,169 32k INFO ====> Epoch: 606
2023-02-08 05:14:23,522 32k INFO ====> Epoch: 607
2023-02-08 05:14:50,938 32k INFO ====> Epoch: 608
2023-02-08 05:14:55,080 32k INFO Train Epoch: 609 [0%]
2023-02-08 05:14:55,081 32k INFO [2.429807424545288, 2.505187511444092, 9.17540454864502, 9.976359367370605, 0.5686947703361511, 15200, 9.268118038259374e-05]
2023-02-08 05:15:18,471 32k INFO ====> Epoch: 609
2023-02-08 05:15:45,785 32k INFO ====> Epoch: 610
2023-02-08 05:16:13,141 32k INFO ====> Epoch: 611
2023-02-08 05:16:40,498 32k INFO ====> Epoch: 612
2023-02-08 05:17:07,970 32k INFO ====> Epoch: 613
2023-02-08 05:17:35,282 32k INFO ====> Epoch: 614
2023-02-08 05:18:02,549 32k INFO ====> Epoch: 615
2023-02-08 05:18:29,829 32k INFO ====> Epoch: 616
2023-02-08 05:18:33,990 32k INFO Train Epoch: 617 [0%]
2023-02-08 05:18:33,990 32k INFO [2.1565258502960205, 2.8094539642333984, 12.92116641998291, 13.931828498840332, 0.5754638910293579, 15400, 9.25885397400921e-05]
2023-02-08 05:18:57,400 32k INFO ====> Epoch: 617
2023-02-08 05:19:24,725 32k INFO ====> Epoch: 618
2023-02-08 05:19:51,978 32k INFO ====> Epoch: 619
2023-02-08 05:20:19,211 32k INFO ====> Epoch: 620
2023-02-08 05:20:46,504 32k INFO ====> Epoch: 621
2023-02-08 05:21:13,792 32k INFO ====> Epoch: 622
2023-02-08 05:21:41,092 32k INFO ====> Epoch: 623
2023-02-08 05:22:08,585 32k INFO ====> Epoch: 624
2023-02-08 05:22:15,141 32k INFO Train Epoch: 625 [0%]
2023-02-08 05:22:15,141 32k INFO [2.1322479248046875, 2.917867422103882, 12.304961204528809, 15.38120174407959, 0.8442509174346924, 15600, 9.249599169771281e-05]
2023-02-08 05:22:38,944 32k INFO ====> Epoch: 625
2023-02-08 05:23:08,202 32k INFO ====> Epoch: 626
2023-02-08 05:23:39,460 32k INFO ====> Epoch: 627
2023-02-08 05:24:08,301 32k INFO ====> Epoch: 628
2023-02-08 05:24:38,140 32k INFO ====> Epoch: 629
2023-02-08 05:25:11,127 32k INFO ====> Epoch: 630
2023-02-08 05:25:39,084 32k INFO ====> Epoch: 631
2023-02-08 05:26:12,289 32k INFO ====> Epoch: 632
2023-02-08 05:26:18,466 32k INFO Train Epoch: 633 [0%]
2023-02-08 05:26:18,466 32k INFO [2.2796847820281982, 2.636449098587036, 11.801140785217285, 15.86832046508789, 0.6501888632774353, 15800, 9.240353616289628e-05]
2023-02-08 05:26:42,135 32k INFO ====> Epoch: 633
2023-02-08 05:27:12,045 32k INFO ====> Epoch: 634
2023-02-08 05:27:41,323 32k INFO ====> Epoch: 635
2023-02-08 05:28:08,619 32k INFO ====> Epoch: 636
2023-02-08 05:28:35,798 32k INFO ====> Epoch: 637
2023-02-08 05:29:03,067 32k INFO ====> Epoch: 638
2023-02-08 05:29:30,326 32k INFO ====> Epoch: 639
2023-02-08 05:29:57,554 32k INFO ====> Epoch: 640
2023-02-08 05:30:01,721 32k INFO Train Epoch: 641 [0%]
2023-02-08 05:30:01,721 32k INFO [2.137920379638672, 2.997647285461426, 10.96126937866211, 12.084086418151855, 0.7113716006278992, 16000, 9.231117304317535e-05]
2023-02-08 05:30:05,765 32k INFO Saving model and optimizer state at iteration 641 to ./logs\32k\G_16000.pth
2023-02-08 05:30:24,498 32k INFO Saving model and optimizer state at iteration 641 to ./logs\32k\D_16000.pth
2023-02-08 05:30:51,480 32k INFO ====> Epoch: 641
2023-02-08 05:31:19,096 32k INFO ====> Epoch: 642
2023-02-08 05:31:46,407 32k INFO ====> Epoch: 643
2023-02-08 05:32:13,688 32k INFO ====> Epoch: 644
2023-02-08 05:32:41,002 32k INFO ====> Epoch: 645
2023-02-08 05:33:08,387 32k INFO ====> Epoch: 646
2023-02-08 05:33:35,627 32k INFO ====> Epoch: 647
2023-02-08 05:34:02,969 32k INFO ====> Epoch: 648
2023-02-08 05:34:07,096 32k INFO Train Epoch: 649 [0%]
2023-02-08 05:34:07,096 32k INFO [2.0951991081237793, 2.7151432037353516, 10.881357192993164, 10.851899147033691, 0.9804232716560364, 16200, 9.221890224617541e-05]
2023-02-08 05:34:30,439 32k INFO ====> Epoch: 649
2023-02-08 05:34:57,744 32k INFO ====> Epoch: 650
2023-02-08 05:35:24,965 32k INFO ====> Epoch: 651
2023-02-08 05:35:52,204 32k INFO ====> Epoch: 652
2023-02-08 05:36:19,443 32k INFO ====> Epoch: 653
2023-02-08 05:36:46,726 32k INFO ====> Epoch: 654
2023-02-08 05:37:13,898 32k INFO ====> Epoch: 655
2023-02-08 05:37:41,056 32k INFO ====> Epoch: 656
2023-02-08 05:37:45,188 32k INFO Train Epoch: 657 [0%]
2023-02-08 05:37:45,189 32k INFO [2.236208438873291, 2.7657008171081543, 11.772223472595215, 15.897233963012695, 0.806340217590332, 16400, 9.212672367961408e-05]
2023-02-08 05:38:08,664 32k INFO ====> Epoch: 657
2023-02-08 05:38:35,940 32k INFO ====> Epoch: 658
2023-02-08 05:39:03,243 32k INFO ====> Epoch: 659
2023-02-08 05:39:30,457 32k INFO ====> Epoch: 660
2023-02-08 05:39:57,819 32k INFO ====> Epoch: 661
2023-02-08 05:40:25,141 32k INFO ====> Epoch: 662
2023-02-08 05:40:52,512 32k INFO ====> Epoch: 663
2023-02-08 05:41:19,776 32k INFO ====> Epoch: 664
2023-02-08 05:41:23,940 32k INFO Train Epoch: 665 [0%]
2023-02-08 05:41:23,941 32k INFO [2.438769817352295, 2.500645399093628, 8.93274211883545, 11.073970794677734, 0.8024316430091858, 16600, 9.203463725130127e-05]
2023-02-08 05:41:47,438 32k INFO ====> Epoch: 665
2023-02-08 05:42:14,692 32k INFO ====> Epoch: 666
2023-02-08 05:42:41,918 32k INFO ====> Epoch: 667
2023-02-08 05:43:09,298 32k INFO ====> Epoch: 668
2023-02-08 05:43:36,570 32k INFO ====> Epoch: 669
2023-02-08 05:44:03,815 32k INFO ====> Epoch: 670
2023-02-08 05:44:31,089 32k INFO ====> Epoch: 671
2023-02-08 05:44:58,486 32k INFO ====> Epoch: 672
2023-02-08 05:45:02,659 32k INFO Train Epoch: 673 [0%]
2023-02-08 05:45:02,660 32k INFO [2.0021891593933105, 2.9026453495025635, 13.554333686828613, 15.906020164489746, 0.6412281394004822, 16800, 9.194264286913901e-05]
2023-02-08 05:45:25,980 32k INFO ====> Epoch: 673
2023-02-08 05:45:53,202 32k INFO ====> Epoch: 674
2023-02-08 05:46:20,579 32k INFO ====> Epoch: 675
2023-02-08 05:46:47,807 32k INFO ====> Epoch: 676
2023-02-08 05:47:15,164 32k INFO ====> Epoch: 677
2023-02-08 05:47:42,347 32k INFO ====> Epoch: 678
2023-02-08 05:48:09,651 32k INFO ====> Epoch: 679
2023-02-08 05:48:36,876 32k INFO ====> Epoch: 680
2023-02-08 05:48:41,041 32k INFO Train Epoch: 681 [0%]
2023-02-08 05:48:41,042 32k INFO [2.274784564971924, 2.448777198791504, 9.413772583007812, 9.827528953552246, 0.6927088499069214, 17000, 9.185074044112143e-05]
2023-02-08 05:48:44,961 32k INFO Saving model and optimizer state at iteration 681 to ./logs\32k\G_17000.pth
2023-02-08 05:49:01,048 32k INFO Saving model and optimizer state at iteration 681 to ./logs\32k\D_17000.pth
2023-02-08 05:49:27,774 32k INFO ====> Epoch: 681
2023-02-08 05:49:55,440 32k INFO ====> Epoch: 682
2023-02-08 05:50:22,752 32k INFO ====> Epoch: 683
2023-02-08 05:50:50,023 32k INFO ====> Epoch: 684
2023-02-08 05:51:17,444 32k INFO ====> Epoch: 685
2023-02-08 05:51:44,800 32k INFO ====> Epoch: 686
2023-02-08 05:52:12,068 32k INFO ====> Epoch: 687
2023-02-08 05:52:39,340 32k INFO ====> Epoch: 688
2023-02-08 05:52:43,487 32k INFO Train Epoch: 689 [0%]
2023-02-08 05:52:43,488 32k INFO [1.9996830224990845, 2.882810592651367, 15.078625679016113, 17.510944366455078, 0.7180542349815369, 17200, 9.175892987533463e-05]
2023-02-08 05:53:06,977 32k INFO ====> Epoch: 689
2023-02-08 05:53:34,334 32k INFO ====> Epoch: 690
2023-02-08 05:54:01,744 32k INFO ====> Epoch: 691
2023-02-08 05:54:29,106 32k INFO ====> Epoch: 692
2023-02-08 05:54:56,517 32k INFO ====> Epoch: 693
2023-02-08 05:55:23,844 32k INFO ====> Epoch: 694
2023-02-08 05:55:51,154 32k INFO ====> Epoch: 695
2023-02-08 05:56:18,467 32k INFO ====> Epoch: 696
2023-02-08 05:56:22,701 32k INFO Train Epoch: 697 [0%]
2023-02-08 05:56:22,701 32k INFO [2.1816024780273438, 2.628760814666748, 12.47100830078125, 14.666457176208496, 0.5098492503166199, 17400, 9.166721107995651e-05]
2023-02-08 05:56:46,046 32k INFO ====> Epoch: 697
2023-02-08 05:57:13,483 32k INFO ====> Epoch: 698
2023-02-08 05:57:40,721 32k INFO ====> Epoch: 699
2023-02-08 05:58:08,053 32k INFO ====> Epoch: 700
2023-02-08 05:58:35,358 32k INFO ====> Epoch: 701
2023-02-08 05:59:02,709 32k INFO ====> Epoch: 702
2023-02-08 05:59:29,956 32k INFO ====> Epoch: 703
2023-02-08 05:59:57,372 32k INFO ====> Epoch: 704
2023-02-08 06:00:01,627 32k INFO Train Epoch: 705 [0%]
2023-02-08 06:00:01,628 32k INFO [2.181964874267578, 2.5327863693237305, 10.578967094421387, 11.907835960388184, 0.5587829947471619, 17600, 9.157558396325682e-05]
2023-02-08 06:00:25,079 32k INFO ====> Epoch: 705
2023-02-08 06:00:52,679 32k INFO ====> Epoch: 706
2023-02-08 06:01:20,222 32k INFO ====> Epoch: 707
2023-02-08 06:01:47,660 32k INFO ====> Epoch: 708
2023-02-08 06:02:15,063 32k INFO ====> Epoch: 709
2023-02-08 06:02:42,482 32k INFO ====> Epoch: 710
2023-02-08 06:03:10,045 32k INFO ====> Epoch: 711
2023-02-08 06:03:37,554 32k INFO ====> Epoch: 712
2023-02-08 06:03:41,841 32k INFO Train Epoch: 713 [0%]
2023-02-08 06:03:41,841 32k INFO [2.05629301071167, 3.078871250152588, 14.809829711914062, 17.822490692138672, 0.5700010061264038, 17800, 9.1484048433597e-05]
2023-02-08 06:04:05,401 32k INFO ====> Epoch: 713
2023-02-08 06:04:32,767 32k INFO ====> Epoch: 714
2023-02-08 06:05:00,086 32k INFO ====> Epoch: 715
2023-02-08 06:05:27,316 32k INFO ====> Epoch: 716
2023-02-08 06:05:54,589 32k INFO ====> Epoch: 717
2023-02-08 06:06:21,858 32k INFO ====> Epoch: 718
2023-02-08 06:06:49,165 32k INFO ====> Epoch: 719
2023-02-08 06:07:16,356 32k INFO ====> Epoch: 720
2023-02-08 06:07:20,528 32k INFO Train Epoch: 721 [0%]
2023-02-08 06:07:20,528 32k INFO [2.164158582687378, 2.6163268089294434, 10.601806640625, 11.618563652038574, 0.6920743584632874, 18000, 9.139260439943005e-05]
2023-02-08 06:07:24,529 32k INFO Saving model and optimizer state at iteration 721 to ./logs\32k\G_18000.pth
2023-02-08 06:07:40,718 32k INFO Saving model and optimizer state at iteration 721 to ./logs\32k\D_18000.pth
2023-02-08 06:08:07,671 32k INFO ====> Epoch: 721
2023-02-08 06:08:35,319 32k INFO ====> Epoch: 722
2023-02-08 06:09:02,558 32k INFO ====> Epoch: 723
2023-02-08 06:09:29,810 32k INFO ====> Epoch: 724
2023-02-08 06:09:57,114 32k INFO ====> Epoch: 725
2023-02-08 06:10:24,366 32k INFO ====> Epoch: 726
2023-02-08 06:10:51,634 32k INFO ====> Epoch: 727
2023-02-08 06:11:18,928 32k INFO ====> Epoch: 728
2023-02-08 06:11:23,155 32k INFO Train Epoch: 729 [0%]
2023-02-08 06:11:23,155 32k INFO [2.012582540512085, 3.1388368606567383, 10.874849319458008, 12.830694198608398, 1.2125579118728638, 18200, 9.130125176930053e-05]
2023-02-08 06:11:46,700 32k INFO ====> Epoch: 729
2023-02-08 06:12:13,958 32k INFO ====> Epoch: 730
2023-02-08 06:12:41,340 32k INFO ====> Epoch: 731
2023-02-08 06:13:08,673 32k INFO ====> Epoch: 732
2023-02-08 06:13:36,013 32k INFO ====> Epoch: 733
2023-02-08 06:14:03,244 32k INFO ====> Epoch: 734
2023-02-08 06:14:30,561 32k INFO ====> Epoch: 735
2023-02-08 06:14:57,848 32k INFO ====> Epoch: 736
2023-02-08 06:15:02,022 32k INFO Train Epoch: 737 [0%]
2023-02-08 06:15:02,023 32k INFO [2.373138904571533, 2.6271932125091553, 11.668561935424805, 11.838142395019531, 0.43812692165374756, 18400, 9.120999045184433e-05]
2023-02-08 06:15:25,401 32k INFO ====> Epoch: 737
2023-02-08 06:15:52,680 32k INFO ====> Epoch: 738
2023-02-08 06:16:19,995 32k INFO ====> Epoch: 739
2023-02-08 06:16:47,234 32k INFO ====> Epoch: 740
2023-02-08 06:17:14,575 32k INFO ====> Epoch: 741
2023-02-08 06:17:41,832 32k INFO ====> Epoch: 742
2023-02-08 06:18:09,212 32k INFO ====> Epoch: 743
2023-02-08 06:18:36,441 32k INFO ====> Epoch: 744
2023-02-08 06:18:40,583 32k INFO Train Epoch: 745 [0%]
2023-02-08 06:18:40,583 32k INFO [2.2940125465393066, 2.5006821155548096, 7.664450168609619, 7.003386497497559, 0.36640802025794983, 18600, 9.111882035578874e-05]
2023-02-08 06:19:03,885 32k INFO ====> Epoch: 745
2023-02-08 06:19:31,187 32k INFO ====> Epoch: 746
2023-02-08 06:19:58,703 32k INFO ====> Epoch: 747
2023-02-08 06:20:25,972 32k INFO ====> Epoch: 748
2023-02-08 06:20:53,353 32k INFO ====> Epoch: 749
2023-02-08 06:21:20,571 32k INFO ====> Epoch: 750
2023-02-08 06:21:47,821 32k INFO ====> Epoch: 751
2023-02-08 06:22:15,315 32k INFO ====> Epoch: 752
2023-02-08 06:22:19,480 32k INFO Train Epoch: 753 [0%]
2023-02-08 06:22:19,481 32k INFO [2.209760904312134, 2.9699435234069824, 11.424541473388672, 12.134815216064453, 0.892327606678009, 18800, 9.102774138995226e-05]
2023-02-08 06:22:42,923 32k INFO ====> Epoch: 753
2023-02-08 06:23:10,236 32k INFO ====> Epoch: 754
2023-02-08 06:23:37,532 32k INFO ====> Epoch: 755
2023-02-08 06:24:04,656 32k INFO ====> Epoch: 756
2023-02-08 06:24:31,944 32k INFO ====> Epoch: 757
2023-02-08 06:24:59,192 32k INFO ====> Epoch: 758
2023-02-08 06:25:26,470 32k INFO ====> Epoch: 759
2023-02-08 06:25:53,724 32k INFO ====> Epoch: 760
2023-02-08 06:25:57,924 32k INFO Train Epoch: 761 [0%]
2023-02-08 06:25:57,924 32k INFO [2.1244606971740723, 2.5695090293884277, 11.247437477111816, 13.27083969116211, 0.8782016038894653, 19000, 9.093675346324454e-05]
2023-02-08 06:26:01,899 32k INFO Saving model and optimizer state at iteration 761 to ./logs\32k\G_19000.pth
2023-02-08 06:26:18,012 32k INFO Saving model and optimizer state at iteration 761 to ./logs\32k\D_19000.pth
2023-02-08 06:26:45,141 32k INFO ====> Epoch: 761
2023-02-08 06:27:12,773 32k INFO ====> Epoch: 762
2023-02-08 06:27:40,177 32k INFO ====> Epoch: 763
2023-02-08 06:28:07,481 32k INFO ====> Epoch: 764
2023-02-08 06:28:34,823 32k INFO ====> Epoch: 765
2023-02-08 06:29:02,147 32k INFO ====> Epoch: 766
2023-02-08 06:29:29,511 32k INFO ====> Epoch: 767
2023-02-08 06:29:56,714 32k INFO ====> Epoch: 768
2023-02-08 06:30:00,836 32k INFO Train Epoch: 769 [0%]
2023-02-08 06:30:00,837 32k INFO [2.1510729789733887, 2.749018907546997, 12.148856163024902, 16.22759437561035, 0.3612435460090637, 19200, 9.084585648466622e-05]
2023-02-08 06:30:24,237 32k INFO ====> Epoch: 769
2023-02-08 06:30:51,494 32k INFO ====> Epoch: 770
2023-02-08 06:31:18,806 32k INFO ====> Epoch: 771
2023-02-08 06:31:46,017 32k INFO ====> Epoch: 772
2023-02-08 06:32:13,260 32k INFO ====> Epoch: 773
2023-02-08 06:32:40,496 32k INFO ====> Epoch: 774
2023-02-08 06:33:07,947 32k INFO ====> Epoch: 775
2023-02-08 06:33:35,240 32k INFO ====> Epoch: 776
2023-02-08 06:33:39,408 32k INFO Train Epoch: 777 [0%]
2023-02-08 06:33:39,409 32k INFO [2.2065720558166504, 2.734769344329834, 13.246220588684082, 16.513587951660156, 0.6329246163368225, 19400, 9.0755050363309e-05]
2023-02-08 06:34:02,887 32k INFO ====> Epoch: 777
2023-02-08 06:34:30,310 32k INFO ====> Epoch: 778
2023-02-08 06:34:57,574 32k INFO ====> Epoch: 779
2023-02-08 06:35:24,896 32k INFO ====> Epoch: 780
2023-02-08 06:35:52,221 32k INFO ====> Epoch: 781
2023-02-08 06:36:19,629 32k INFO ====> Epoch: 782
2023-02-08 06:36:46,823 32k INFO ====> Epoch: 783
2023-02-08 06:37:14,020 32k INFO ====> Epoch: 784
2023-02-08 06:37:18,237 32k INFO Train Epoch: 785 [0%]
2023-02-08 06:37:18,237 32k INFO [1.9974815845489502, 3.1192662715911865, 15.722082138061523, 16.926956176757812, 0.8178009390830994, 19600, 9.066433500835542e-05]
2023-02-08 06:37:41,769 32k INFO ====> Epoch: 785
2023-02-08 06:38:08,993 32k INFO ====> Epoch: 786
2023-02-08 06:38:36,217 32k INFO ====> Epoch: 787
2023-02-08 06:39:03,464 32k INFO ====> Epoch: 788
2023-02-08 06:39:30,805 32k INFO ====> Epoch: 789
2023-02-08 06:39:58,099 32k INFO ====> Epoch: 790
2023-02-08 06:40:25,388 32k INFO ====> Epoch: 791
2023-02-08 06:40:52,725 32k INFO ====> Epoch: 792
2023-02-08 06:40:56,866 32k INFO Train Epoch: 793 [0%]
2023-02-08 06:40:56,866 32k INFO [2.0566844940185547, 2.7372255325317383, 10.626788139343262, 11.168453216552734, 0.30525901913642883, 19800, 9.057371032907876e-05]
2023-02-08 06:41:20,178 32k INFO ====> Epoch: 793
2023-02-08 06:41:47,391 32k INFO ====> Epoch: 794
2023-02-08 06:42:14,680 32k INFO ====> Epoch: 795
2023-02-08 06:42:41,884 32k INFO ====> Epoch: 796
2023-02-08 06:43:09,092 32k INFO ====> Epoch: 797
2023-02-08 06:43:36,318 32k INFO ====> Epoch: 798
2023-02-08 06:44:03,601 32k INFO ====> Epoch: 799
2023-02-08 06:44:30,820 32k INFO ====> Epoch: 800
2023-02-08 06:44:35,006 32k INFO Train Epoch: 801 [0%]
2023-02-08 06:44:35,006 32k INFO [2.1265082359313965, 2.7729268074035645, 12.546405792236328, 15.052834510803223, 0.5002524256706238, 20000, 9.048317623484297e-05]
2023-02-08 06:44:38,932 32k INFO Saving model and optimizer state at iteration 801 to ./logs\32k\G_20000.pth
2023-02-08 06:44:51,852 32k INFO Saving model and optimizer state at iteration 801 to ./logs\32k\D_20000.pth
2023-02-08 06:45:18,762 32k INFO ====> Epoch: 801
2023-02-08 06:45:46,387 32k INFO ====> Epoch: 802
2023-02-08 06:46:13,636 32k INFO ====> Epoch: 803
2023-02-08 06:46:41,022 32k INFO ====> Epoch: 804
2023-02-08 06:47:08,315 32k INFO ====> Epoch: 805
2023-02-08 06:47:35,597 32k INFO ====> Epoch: 806
2023-02-08 06:48:02,774 32k INFO ====> Epoch: 807
2023-02-08 06:48:30,067 32k INFO ====> Epoch: 808
2023-02-08 06:48:34,212 32k INFO Train Epoch: 809 [0%]
2023-02-08 06:48:34,213 32k INFO [2.0923309326171875, 2.8940019607543945, 12.025039672851562, 11.831348419189453, 0.6156488060951233, 20200, 9.039273263510263e-05]
2023-02-08 06:48:57,617 32k INFO ====> Epoch: 809
2023-02-08 06:49:24,892 32k INFO ====> Epoch: 810
2023-02-08 06:49:52,301 32k INFO ====> Epoch: 811
2023-02-08 06:50:19,602 32k INFO ====> Epoch: 812
2023-02-08 06:50:46,978 32k INFO ====> Epoch: 813
2023-02-08 06:51:14,230 32k INFO ====> Epoch: 814
2023-02-08 06:51:41,465 32k INFO ====> Epoch: 815
2023-02-08 06:52:08,714 32k INFO ====> Epoch: 816
2023-02-08 06:52:12,877 32k INFO Train Epoch: 817 [0%]
2023-02-08 06:52:12,877 32k INFO [2.4014453887939453, 2.6083574295043945, 11.982321739196777, 10.928739547729492, 0.7464172840118408, 20400, 9.030237943940286e-05]
2023-02-08 06:52:36,221 32k INFO ====> Epoch: 817
2023-02-08 06:53:03,546 32k INFO ====> Epoch: 818
2023-02-08 06:53:30,881 32k INFO ====> Epoch: 819
2023-02-08 06:53:58,207 32k INFO ====> Epoch: 820
2023-02-08 06:54:25,623 32k INFO ====> Epoch: 821
2023-02-08 06:54:52,839 32k INFO ====> Epoch: 822
2023-02-08 06:55:20,051 32k INFO ====> Epoch: 823
2023-02-08 06:55:47,527 32k INFO ====> Epoch: 824
2023-02-08 06:55:51,730 32k INFO Train Epoch: 825 [0%]
2023-02-08 06:55:51,731 32k INFO [2.2930970191955566, 2.770522356033325, 12.017240524291992, 12.001582145690918, 0.7899613976478577, 20600, 9.021211655737914e-05]
2023-02-08 06:56:15,029 32k INFO ====> Epoch: 825
2023-02-08 06:56:42,404 32k INFO ====> Epoch: 826
2023-02-08 06:57:09,720 32k INFO ====> Epoch: 827
2023-02-08 06:57:36,952 32k INFO ====> Epoch: 828
2023-02-08 06:58:04,218 32k INFO ====> Epoch: 829
2023-02-08 06:58:31,584 32k INFO ====> Epoch: 830
2023-02-08 06:58:59,003 32k INFO ====> Epoch: 831
2023-02-08 06:59:26,276 32k INFO ====> Epoch: 832
2023-02-08 06:59:30,557 32k INFO Train Epoch: 833 [0%]
2023-02-08 06:59:30,558 32k INFO [2.11090087890625, 3.052443027496338, 13.282072067260742, 15.536898612976074, 1.3192182779312134, 20800, 9.01219438987573e-05]
2023-02-08 06:59:53,868 32k INFO ====> Epoch: 833
2023-02-08 07:00:21,113 32k INFO ====> Epoch: 834
2023-02-08 07:00:48,332 32k INFO ====> Epoch: 835
2023-02-08 07:01:15,646 32k INFO ====> Epoch: 836
2023-02-08 07:01:42,879 32k INFO ====> Epoch: 837
2023-02-08 07:02:10,261 32k INFO ====> Epoch: 838
2023-02-08 07:02:37,532 32k INFO ====> Epoch: 839
2023-02-08 07:03:04,946 32k INFO ====> Epoch: 840
2023-02-08 07:03:09,132 32k INFO Train Epoch: 841 [0%]
2023-02-08 07:03:09,133 32k INFO [2.149151086807251, 2.75006103515625, 12.777043342590332, 13.894636154174805, 0.7803422808647156, 21000, 9.003186137335341e-05]
2023-02-08 07:03:13,195 32k INFO Saving model and optimizer state at iteration 841 to ./logs\32k\G_21000.pth
2023-02-08 07:03:29,213 32k INFO Saving model and optimizer state at iteration 841 to ./logs\32k\D_21000.pth
2023-02-08 07:03:56,315 32k INFO ====> Epoch: 841
2023-02-08 07:04:23,769 32k INFO ====> Epoch: 842
2023-02-08 07:04:51,057 32k INFO ====> Epoch: 843
2023-02-08 07:05:18,379 32k INFO ====> Epoch: 844
2023-02-08 07:05:45,540 32k INFO ====> Epoch: 845
2023-02-08 07:06:12,761 32k INFO ====> Epoch: 846
2023-02-08 07:06:40,024 32k INFO ====> Epoch: 847
2023-02-08 07:07:07,202 32k INFO ====> Epoch: 848
2023-02-08 07:07:11,424 32k INFO Train Epoch: 849 [0%]
2023-02-08 07:07:11,425 32k INFO [2.125340223312378, 2.8410911560058594, 12.986804962158203, 14.227916717529297, 0.25074541568756104, 21200, 8.99418688910737e-05]
2023-02-08 07:07:34,785 32k INFO ====> Epoch: 849
2023-02-08 07:08:02,135 32k INFO ====> Epoch: 850
2023-02-08 07:08:29,275 32k INFO ====> Epoch: 851
2023-02-08 07:08:56,594 32k INFO ====> Epoch: 852
2023-02-08 07:09:23,849 32k INFO ====> Epoch: 853
2023-02-08 07:09:51,068 32k INFO ====> Epoch: 854
2023-02-08 07:10:18,329 32k INFO ====> Epoch: 855
2023-02-08 07:10:45,522 32k INFO ====> Epoch: 856
2023-02-08 07:10:49,663 32k INFO Train Epoch: 857 [0%]
2023-02-08 07:10:49,664 32k INFO [2.0698940753936768, 2.8452775478363037, 12.501750946044922, 12.397539138793945, 0.49813979864120483, 21400, 8.985196636191438e-05]
2023-02-08 07:11:13,005 32k INFO ====> Epoch: 857
2023-02-08 07:11:40,271 32k INFO ====> Epoch: 858
2023-02-08 07:12:07,918 32k INFO ====> Epoch: 859
2023-02-08 07:12:38,310 32k INFO ====> Epoch: 860
2023-02-08 07:13:10,251 32k INFO ====> Epoch: 861
2023-02-08 07:13:40,776 32k INFO ====> Epoch: 862
2023-02-08 07:14:10,517 32k INFO ====> Epoch: 863
2023-02-08 07:14:41,028 32k INFO ====> Epoch: 864
2023-02-08 07:14:49,150 32k INFO Train Epoch: 865 [0%]
2023-02-08 07:14:49,151 32k INFO [1.92959725856781, 3.199324607849121, 11.906269073486328, 10.978227615356445, 0.9311949610710144, 21600, 8.976215369596169e-05]
2023-02-08 07:15:12,784 32k INFO ====> Epoch: 865
2023-02-08 07:15:40,598 32k INFO ====> Epoch: 866
2023-02-08 07:16:08,685 32k INFO ====> Epoch: 867
2023-02-08 07:16:39,256 32k INFO ====> Epoch: 868
2023-02-08 07:17:10,770 32k INFO ====> Epoch: 869
2023-02-08 07:17:40,100 32k INFO ====> Epoch: 870
2023-02-08 07:18:10,191 32k INFO ====> Epoch: 871
2023-02-08 07:18:37,437 32k INFO ====> Epoch: 872
2023-02-08 07:18:41,669 32k INFO Train Epoch: 873 [0%]
2023-02-08 07:18:41,670 32k INFO [2.0080058574676514, 3.053236722946167, 11.216368675231934, 14.142807960510254, 0.9589112401008606, 21800, 8.967243080339174e-05]
2023-02-08 07:19:04,983 32k INFO ====> Epoch: 873
2023-02-08 07:19:32,241 32k INFO ====> Epoch: 874
2023-02-08 07:19:59,532 32k INFO ====> Epoch: 875
2023-02-08 07:20:26,736 32k INFO ====> Epoch: 876
2023-02-08 07:20:54,044 32k INFO ====> Epoch: 877
2023-02-08 07:21:21,282 32k INFO ====> Epoch: 878
2023-02-08 07:21:48,526 32k INFO ====> Epoch: 879
2023-02-08 07:22:15,755 32k INFO ====> Epoch: 880
2023-02-08 07:22:19,905 32k INFO Train Epoch: 881 [0%]
2023-02-08 07:22:19,905 32k INFO [2.6314525604248047, 2.4978129863739014, 9.935847282409668, 8.845563888549805, 0.6839585900306702, 22000, 8.958279759447042e-05]
2023-02-08 07:22:23,914 32k INFO Saving model and optimizer state at iteration 881 to ./logs\32k\G_22000.pth
2023-02-08 07:22:41,085 32k INFO Saving model and optimizer state at iteration 881 to ./logs\32k\D_22000.pth
2023-02-08 07:23:07,819 32k INFO ====> Epoch: 881
2023-02-08 07:23:35,395 32k INFO ====> Epoch: 882
2023-02-08 07:24:02,759 32k INFO ====> Epoch: 883
2023-02-08 07:24:30,034 32k INFO ====> Epoch: 884
2023-02-08 07:24:57,360 32k INFO ====> Epoch: 885
2023-02-08 07:25:24,615 32k INFO ====> Epoch: 886
2023-02-08 07:25:51,858 32k INFO ====> Epoch: 887
2023-02-08 07:26:19,136 32k INFO ====> Epoch: 888
2023-02-08 07:26:23,405 32k INFO Train Epoch: 889 [0%]
2023-02-08 07:26:23,405 32k INFO [2.272139549255371, 2.7063703536987305, 9.242504119873047, 9.219676971435547, 0.4809642434120178, 22200, 8.949325397955328e-05]
2023-02-08 07:26:46,809 32k INFO ====> Epoch: 889
2023-02-08 07:27:14,142 32k INFO ====> Epoch: 890
2023-02-08 07:27:41,336 32k INFO ====> Epoch: 891
2023-02-08 07:28:08,507 32k INFO ====> Epoch: 892
2023-02-08 07:28:35,657 32k INFO ====> Epoch: 893
2023-02-08 07:29:02,877 32k INFO ====> Epoch: 894
2023-02-08 07:29:30,231 32k INFO ====> Epoch: 895
2023-02-08 07:29:57,532 32k INFO ====> Epoch: 896
2023-02-08 07:30:01,713 32k INFO Train Epoch: 897 [0%]
2023-02-08 07:30:01,714 32k INFO [2.322063684463501, 2.868098497390747, 12.482490539550781, 13.00596809387207, 0.7583285570144653, 22400, 8.940379986908551e-05]
2023-02-08 07:30:25,151 32k INFO ====> Epoch: 897
2023-02-08 07:30:52,461 32k INFO ====> Epoch: 898
2023-02-08 07:31:19,723 32k INFO ====> Epoch: 899
2023-02-08 07:31:46,973 32k INFO ====> Epoch: 900
2023-02-08 07:32:14,303 32k INFO ====> Epoch: 901
2023-02-08 07:32:41,477 32k INFO ====> Epoch: 902
2023-02-08 07:33:08,757 32k INFO ====> Epoch: 903
2023-02-08 07:33:36,005 32k INFO ====> Epoch: 904
2023-02-08 07:33:40,147 32k INFO Train Epoch: 905 [0%]
2023-02-08 07:33:40,147 32k INFO [2.325117588043213, 2.5180792808532715, 9.79041862487793, 12.433469772338867, 0.5814107060432434, 22600, 8.931443517360183e-05]
2023-02-08 07:34:03,587 32k INFO ====> Epoch: 905
2023-02-08 07:34:30,802 32k INFO ====> Epoch: 906
2023-02-08 07:34:57,987 32k INFO ====> Epoch: 907
2023-02-08 07:35:25,198 32k INFO ====> Epoch: 908
2023-02-08 07:35:52,558 32k INFO ====> Epoch: 909
2023-02-08 07:36:19,690 32k INFO ====> Epoch: 910
2023-02-08 07:36:47,083 32k INFO ====> Epoch: 911
2023-02-08 07:37:14,313 32k INFO ====> Epoch: 912
2023-02-08 07:37:18,443 32k INFO Train Epoch: 913 [0%]
2023-02-08 07:37:18,444 32k INFO [1.9407083988189697, 3.064429521560669, 13.42102336883545, 14.391809463500977, 0.8895781636238098, 22800, 8.922515980372634e-05]
2023-02-08 07:37:41,848 32k INFO ====> Epoch: 913
2023-02-08 07:38:09,030 32k INFO ====> Epoch: 914
2023-02-08 07:38:36,288 32k INFO ====> Epoch: 915
2023-02-08 07:39:03,526 32k INFO ====> Epoch: 916
2023-02-08 07:39:30,739 32k INFO ====> Epoch: 917
2023-02-08 07:39:58,041 32k INFO ====> Epoch: 918
2023-02-08 07:40:25,306 32k INFO ====> Epoch: 919
2023-02-08 07:40:52,556 32k INFO ====> Epoch: 920
2023-02-08 07:40:56,738 32k INFO Train Epoch: 921 [0%]
2023-02-08 07:40:56,739 32k INFO [2.197166681289673, 2.3346621990203857, 9.322127342224121, 7.226282119750977, 1.101223349571228, 23000, 8.913597367017252e-05]
2023-02-08 07:41:00,750 32k INFO Saving model and optimizer state at iteration 921 to ./logs\32k\G_23000.pth
2023-02-08 07:41:18,342 32k INFO Saving model and optimizer state at iteration 921 to ./logs\32k\D_23000.pth
2023-02-08 07:41:45,219 32k INFO ====> Epoch: 921
2023-02-08 07:42:12,753 32k INFO ====> Epoch: 922
2023-02-08 07:42:40,160 32k INFO ====> Epoch: 923
2023-02-08 07:43:07,479 32k INFO ====> Epoch: 924
2023-02-08 07:43:34,864 32k INFO ====> Epoch: 925
2023-02-08 07:44:02,059 32k INFO ====> Epoch: 926
2023-02-08 07:44:29,486 32k INFO ====> Epoch: 927
2023-02-08 07:44:56,844 32k INFO ====> Epoch: 928
2023-02-08 07:45:01,019 32k INFO Train Epoch: 929 [0%]
2023-02-08 07:45:01,020 32k INFO [2.1242141723632812, 2.6913626194000244, 9.64948558807373, 10.495525360107422, 0.8300616145133972, 23200, 8.904687668374304e-05]
2023-02-08 07:45:24,517 32k INFO ====> Epoch: 929
2023-02-08 07:45:51,885 32k INFO ====> Epoch: 930
2023-02-08 07:46:19,191 32k INFO ====> Epoch: 931
2023-02-08 07:46:46,546 32k INFO ====> Epoch: 932
2023-02-08 07:47:13,785 32k INFO ====> Epoch: 933
2023-02-08 07:47:41,068 32k INFO ====> Epoch: 934
2023-02-08 07:48:08,284 32k INFO ====> Epoch: 935
2023-02-08 07:48:35,532 32k INFO ====> Epoch: 936
2023-02-08 07:48:39,680 32k INFO Train Epoch: 937 [0%]
2023-02-08 07:48:39,680 32k INFO [1.9234025478363037, 3.0937461853027344, 13.352231979370117, 12.107898712158203, 0.040413763374090195, 23400, 8.895786875532985e-05]
2023-02-08 07:49:03,087 32k INFO ====> Epoch: 937
2023-02-08 07:49:30,269 32k INFO ====> Epoch: 938
2023-02-08 07:49:57,550 32k INFO ====> Epoch: 939
2023-02-08 07:50:24,804 32k INFO ====> Epoch: 940
2023-02-08 07:50:52,068 32k INFO ====> Epoch: 941
2023-02-08 07:51:19,531 32k INFO ====> Epoch: 942
2023-02-08 07:51:46,795 32k INFO ====> Epoch: 943
2023-02-08 07:52:14,106 32k INFO ====> Epoch: 944
2023-02-08 07:52:18,289 32k INFO Train Epoch: 945 [0%]
2023-02-08 07:52:18,289 32k INFO [2.4052250385284424, 2.3946902751922607, 8.0615816116333, 8.127193450927734, 0.5869867205619812, 23600, 8.886894979591382e-05]
2023-02-08 07:52:41,647 32k INFO ====> Epoch: 945
2023-02-08 07:53:08,848 32k INFO ====> Epoch: 946
2023-02-08 07:53:36,092 32k INFO ====> Epoch: 947
2023-02-08 07:54:03,483 32k INFO ====> Epoch: 948
2023-02-08 07:54:30,694 32k INFO ====> Epoch: 949
2023-02-08 07:54:57,944 32k INFO ====> Epoch: 950
2023-02-08 07:55:25,205 32k INFO ====> Epoch: 951
2023-02-08 07:55:52,569 32k INFO ====> Epoch: 952
2023-02-08 07:55:56,701 32k INFO Train Epoch: 953 [0%]
2023-02-08 07:55:56,702 32k INFO [2.3294248580932617, 2.5275936126708984, 11.161544799804688, 13.14801025390625, 0.7870250940322876, 23800, 8.87801197165649e-05]
2023-02-08 07:56:20,142 32k INFO ====> Epoch: 953
2023-02-08 07:56:47,430 32k INFO ====> Epoch: 954
2023-02-08 07:57:14,596 32k INFO ====> Epoch: 955
2023-02-08 07:57:41,793 32k INFO ====> Epoch: 956
2023-02-08 07:58:09,045 32k INFO ====> Epoch: 957
2023-02-08 07:58:36,407 32k INFO ====> Epoch: 958
2023-02-08 07:59:03,698 32k INFO ====> Epoch: 959
2023-02-08 07:59:30,825 32k INFO ====> Epoch: 960
2023-02-08 07:59:34,998 32k INFO Train Epoch: 961 [0%]
2023-02-08 07:59:34,999 32k INFO [1.9758830070495605, 3.160987138748169, 11.651006698608398, 9.965556144714355, 0.8251485824584961, 24000, 8.869137842844187e-05]
2023-02-08 07:59:38,918 32k INFO Saving model and optimizer state at iteration 961 to ./logs\32k\G_24000.pth
2023-02-08 07:59:56,277 32k INFO Saving model and optimizer state at iteration 961 to ./logs\32k\D_24000.pth
2023-02-08 08:00:23,198 32k INFO ====> Epoch: 961
2023-02-08 08:00:50,705 32k INFO ====> Epoch: 962
2023-02-08 08:01:17,842 32k INFO ====> Epoch: 963
2023-02-08 08:01:45,088 32k INFO ====> Epoch: 964
2023-02-08 08:02:12,325 32k INFO ====> Epoch: 965
2023-02-08 08:02:39,531 32k INFO ====> Epoch: 966
2023-02-08 08:03:06,809 32k INFO ====> Epoch: 967
2023-02-08 08:03:34,020 32k INFO ====> Epoch: 968
2023-02-08 08:03:38,309 32k INFO Train Epoch: 969 [0%]
2023-02-08 08:03:38,309 32k INFO [2.138465642929077, 3.172835111618042, 13.900092124938965, 14.320133209228516, 0.47410085797309875, 24200, 8.860272584279235e-05]
2023-02-08 08:04:01,617 32k INFO ====> Epoch: 969
2023-02-08 08:04:28,929 32k INFO ====> Epoch: 970
2023-02-08 08:04:56,211 32k INFO ====> Epoch: 971
2023-02-08 08:05:23,516 32k INFO ====> Epoch: 972
2023-02-08 08:05:50,658 32k INFO ====> Epoch: 973
2023-02-08 08:06:17,931 32k INFO ====> Epoch: 974
2023-02-08 08:06:45,141 32k INFO ====> Epoch: 975
2023-02-08 08:07:12,395 32k INFO ====> Epoch: 976
2023-02-08 08:07:16,529 32k INFO Train Epoch: 977 [0%]
2023-02-08 08:07:16,529 32k INFO [2.097750186920166, 2.9150352478027344, 13.533363342285156, 12.133801460266113, 0.9046599864959717, 24400, 8.851416187095268e-05]
2023-02-08 08:07:39,989 32k INFO ====> Epoch: 977
2023-02-08 08:08:07,179 32k INFO ====> Epoch: 978
2023-02-08 08:08:34,480 32k INFO ====> Epoch: 979
2023-02-08 08:09:01,850 32k INFO ====> Epoch: 980
2023-02-08 08:09:29,007 32k INFO ====> Epoch: 981
2023-02-08 08:09:56,233 32k INFO ====> Epoch: 982
2023-02-08 08:10:23,523 32k INFO ====> Epoch: 983
2023-02-08 08:10:50,755 32k INFO ====> Epoch: 984
2023-02-08 08:10:54,917 32k INFO Train Epoch: 985 [0%]
2023-02-08 08:10:54,917 32k INFO [2.072373628616333, 2.666022300720215, 11.58533763885498, 12.05649185180664, 0.6427943110466003, 24600, 8.842568642434779e-05]
2023-02-08 08:11:18,256 32k INFO ====> Epoch: 985
2023-02-08 08:11:45,558 32k INFO ====> Epoch: 986
2023-02-08 08:12:12,900 32k INFO ====> Epoch: 987
2023-02-08 08:12:40,254 32k INFO ====> Epoch: 988
2023-02-08 08:13:07,773 32k INFO ====> Epoch: 989
2023-02-08 08:13:35,011 32k INFO ====> Epoch: 990
2023-02-08 08:14:02,312 32k INFO ====> Epoch: 991
2023-02-08 08:14:29,596 32k INFO ====> Epoch: 992
2023-02-08 08:14:33,810 32k INFO Train Epoch: 993 [0%]
2023-02-08 08:14:33,810 32k INFO [2.4263553619384766, 2.690289258956909, 11.794257164001465, 12.23928451538086, 0.9979404807090759, 24800, 8.833729941449117e-05]
2023-02-08 08:14:57,128 32k INFO ====> Epoch: 993
2023-02-08 08:15:24,425 32k INFO ====> Epoch: 994
2023-02-08 08:15:51,717 32k INFO ====> Epoch: 995
2023-02-08 08:16:19,010 32k INFO ====> Epoch: 996
2023-02-08 08:16:46,506 32k INFO ====> Epoch: 997
2023-02-08 08:17:13,873 32k INFO ====> Epoch: 998
2023-02-08 08:17:41,142 32k INFO ====> Epoch: 999
2023-02-08 08:18:08,518 32k INFO ====> Epoch: 1000
2023-02-08 08:18:12,710 32k INFO Train Epoch: 1001 [0%]
2023-02-08 08:18:12,710 32k INFO [2.5876686573028564, 2.7822976112365723, 10.55124282836914, 12.793675422668457, 0.7661500573158264, 25000, 8.824900075298475e-05]
2023-02-08 08:18:16,609 32k INFO Saving model and optimizer state at iteration 1001 to ./logs\32k\G_25000.pth
2023-02-08 08:18:34,184 32k INFO Saving model and optimizer state at iteration 1001 to ./logs\32k\D_25000.pth
2023-02-08 08:19:01,479 32k INFO ====> Epoch: 1001
2023-02-08 08:19:29,142 32k INFO ====> Epoch: 1002
2023-02-08 08:19:56,490 32k INFO ====> Epoch: 1003
2023-02-08 08:20:23,914 32k INFO ====> Epoch: 1004
2023-02-08 08:20:51,295 32k INFO ====> Epoch: 1005
2023-02-08 08:21:18,551 32k INFO ====> Epoch: 1006
2023-02-08 08:21:45,939 32k INFO ====> Epoch: 1007
2023-02-08 08:22:13,279 32k INFO ====> Epoch: 1008
2023-02-08 08:22:17,480 32k INFO Train Epoch: 1009 [0%]
2023-02-08 08:22:17,480 32k INFO [2.1397104263305664, 2.7283523082733154, 10.646180152893066, 10.870260238647461, 0.8270248770713806, 25200, 8.816079035151885e-05]
2023-02-08 08:22:40,903 32k INFO ====> Epoch: 1009
2023-02-08 08:23:08,314 32k INFO ====> Epoch: 1010
2023-02-08 08:23:35,513 32k INFO ====> Epoch: 1011
2023-02-08 08:24:02,710 32k INFO ====> Epoch: 1012
2023-02-08 08:24:29,957 32k INFO ====> Epoch: 1013
2023-02-08 08:24:57,518 32k INFO ====> Epoch: 1014
2023-02-08 08:25:24,769 32k INFO ====> Epoch: 1015
2023-02-08 08:25:52,111 32k INFO ====> Epoch: 1016
2023-02-08 08:25:56,366 32k INFO Train Epoch: 1017 [0%]
2023-02-08 08:25:56,366 32k INFO [2.0259082317352295, 2.9211881160736084, 12.846309661865234, 12.543252944946289, 0.5400490760803223, 25400, 8.8072668121872e-05]
2023-02-08 08:26:19,750 32k INFO ====> Epoch: 1017
2023-02-08 08:26:47,000 32k INFO ====> Epoch: 1018
2023-02-08 08:27:14,271 32k INFO ====> Epoch: 1019
2023-02-08 08:27:41,600 32k INFO ====> Epoch: 1020
2023-02-08 08:28:08,836 32k INFO ====> Epoch: 1021
2023-02-08 08:28:36,111 32k INFO ====> Epoch: 1022
2023-02-08 08:29:03,455 32k INFO ====> Epoch: 1023
2023-02-08 08:29:30,763 32k INFO ====> Epoch: 1024
2023-02-08 08:29:35,016 32k INFO Train Epoch: 1025 [0%]
2023-02-08 08:29:35,017 32k INFO [2.1472370624542236, 2.424119472503662, 10.71376895904541, 11.404861450195312, 0.5614844560623169, 25600, 8.798463397591094e-05]
2023-02-08 08:29:58,351 32k INFO ====> Epoch: 1025
2023-02-08 08:30:25,675 32k INFO ====> Epoch: 1026
2023-02-08 08:30:52,976 32k INFO ====> Epoch: 1027
2023-02-08 08:31:20,219 32k INFO ====> Epoch: 1028
2023-02-08 08:31:47,438 32k INFO ====> Epoch: 1029
2023-02-08 08:32:14,705 32k INFO ====> Epoch: 1030
2023-02-08 08:32:41,977 32k INFO ====> Epoch: 1031
2023-02-08 08:33:09,243 32k INFO ====> Epoch: 1032
2023-02-08 08:33:13,370 32k INFO Train Epoch: 1033 [0%]
2023-02-08 08:33:13,370 32k INFO [2.0088284015655518, 2.9206719398498535, 12.668709754943848, 12.078943252563477, 0.5453837513923645, 25800, 8.789668782559057e-05]
2023-02-08 08:33:36,770 32k INFO ====> Epoch: 1033
2023-02-08 08:34:04,056 32k INFO ====> Epoch: 1034
2023-02-08 08:34:31,389 32k INFO ====> Epoch: 1035
2023-02-08 08:34:58,633 32k INFO ====> Epoch: 1036
2023-02-08 08:35:25,869 32k INFO ====> Epoch: 1037
2023-02-08 08:35:53,120 32k INFO ====> Epoch: 1038
2023-02-08 08:36:20,363 32k INFO ====> Epoch: 1039
2023-02-08 08:36:47,555 32k INFO ====> Epoch: 1040
2023-02-08 08:36:51,727 32k INFO Train Epoch: 1041 [0%]
2023-02-08 08:36:51,728 32k INFO [2.0444955825805664, 2.750715732574463, 13.184952735900879, 13.762874603271484, 0.4980016350746155, 26000, 8.780882958295367e-05]
2023-02-08 08:36:55,687 32k INFO Saving model and optimizer state at iteration 1041 to ./logs\32k\G_26000.pth
2023-02-08 08:37:14,073 32k INFO Saving model and optimizer state at iteration 1041 to ./logs\32k\D_26000.pth
2023-02-08 08:37:40,878 32k INFO ====> Epoch: 1041
2023-02-08 08:38:08,553 32k INFO ====> Epoch: 1042
2023-02-08 08:38:35,938 32k INFO ====> Epoch: 1043
2023-02-08 08:39:03,251 32k INFO ====> Epoch: 1044
2023-02-08 08:39:30,572 32k INFO ====> Epoch: 1045
2023-02-08 08:39:57,842 32k INFO ====> Epoch: 1046
2023-02-08 08:40:25,267 32k INFO ====> Epoch: 1047
2023-02-08 08:40:52,633 32k INFO ====> Epoch: 1048
2023-02-08 08:40:56,796 32k INFO Train Epoch: 1049 [0%]
2023-02-08 08:40:56,796 32k INFO [1.9338710308074951, 2.9720139503479004, 13.7679443359375, 15.719523429870605, 0.962178111076355, 26200, 8.772105916013104e-05]
2023-02-08 08:41:20,181 32k INFO ====> Epoch: 1049
2023-02-08 08:41:47,611 32k INFO ====> Epoch: 1050
2023-02-08 08:42:14,943 32k INFO ====> Epoch: 1051
2023-02-08 08:42:42,203 32k INFO ====> Epoch: 1052
2023-02-08 08:43:09,505 32k INFO ====> Epoch: 1053
2023-02-08 08:43:36,758 32k INFO ====> Epoch: 1054
2023-02-08 08:44:04,149 32k INFO ====> Epoch: 1055
2023-02-08 08:44:31,437 32k INFO ====> Epoch: 1056
2023-02-08 08:44:35,677 32k INFO Train Epoch: 1057 [0%]
2023-02-08 08:44:35,677 32k INFO [2.2200984954833984, 2.6627626419067383, 9.940957069396973, 11.727323532104492, 1.0280492305755615, 26400, 8.763337646934128e-05]
2023-02-08 08:44:59,147 32k INFO ====> Epoch: 1057
2023-02-08 08:45:26,470 32k INFO ====> Epoch: 1058
2023-02-08 08:45:53,808 32k INFO ====> Epoch: 1059
2023-02-08 08:46:21,094 32k INFO ====> Epoch: 1060
2023-02-08 08:46:48,404 32k INFO ====> Epoch: 1061
2023-02-08 08:47:15,800 32k INFO ====> Epoch: 1062
2023-02-08 08:47:43,113 32k INFO ====> Epoch: 1063
2023-02-08 08:48:10,592 32k INFO ====> Epoch: 1064
2023-02-08 08:48:14,786 32k INFO Train Epoch: 1065 [0%]
2023-02-08 08:48:14,787 32k INFO [2.07511043548584, 3.0303125381469727, 13.379612922668457, 12.57458782196045, 0.7273290157318115, 26600, 8.75457814228907e-05]
2023-02-08 08:48:38,192 32k INFO ====> Epoch: 1065
2023-02-08 08:49:05,375 32k INFO ====> Epoch: 1066
2023-02-08 08:49:32,647 32k INFO ====> Epoch: 1067
2023-02-08 08:49:59,953 32k INFO ====> Epoch: 1068
2023-02-08 08:50:27,382 32k INFO ====> Epoch: 1069
2023-02-08 08:50:54,709 32k INFO ====> Epoch: 1070
2023-02-08 08:51:22,044 32k INFO ====> Epoch: 1071
2023-02-08 08:51:49,474 32k INFO ====> Epoch: 1072
2023-02-08 08:51:53,707 32k INFO Train Epoch: 1073 [0%]
2023-02-08 08:51:53,707 32k INFO [1.8783951997756958, 3.084500789642334, 13.80427360534668, 14.753433227539062, 0.6739394664764404, 26800, 8.745827393317333e-05]
2023-02-08 08:52:17,002 32k INFO ====> Epoch: 1073
2023-02-08 08:52:44,266 32k INFO ====> Epoch: 1074
2023-02-08 08:53:11,569 32k INFO ====> Epoch: 1075
2023-02-08 08:53:38,934 32k INFO ====> Epoch: 1076
2023-02-08 08:54:06,300 32k INFO ====> Epoch: 1077
2023-02-08 08:54:33,602 32k INFO ====> Epoch: 1078
2023-02-08 08:55:00,930 32k INFO ====> Epoch: 1079
2023-02-08 08:55:28,301 32k INFO ====> Epoch: 1080
2023-02-08 08:55:32,629 32k INFO Train Epoch: 1081 [0%]
2023-02-08 08:55:32,629 32k INFO [1.9368703365325928, 2.902247905731201, 12.92327880859375, 12.42314624786377, 0.6588108539581299, 27000, 8.737085391267073e-05]
2023-02-08 08:55:36,604 32k INFO Saving model and optimizer state at iteration 1081 to ./logs\32k\G_27000.pth
2023-02-08 08:55:53,992 32k INFO Saving model and optimizer state at iteration 1081 to ./logs\32k\D_27000.pth
2023-02-08 08:56:20,830 32k INFO ====> Epoch: 1081
2023-02-08 08:56:48,348 32k INFO ====> Epoch: 1082
2023-02-08 08:57:15,618 32k INFO ====> Epoch: 1083
2023-02-08 08:57:42,943 32k INFO ====> Epoch: 1084
2023-02-08 08:58:10,239 32k INFO ====> Epoch: 1085
2023-02-08 08:58:37,564 32k INFO ====> Epoch: 1086
2023-02-08 08:59:04,811 32k INFO ====> Epoch: 1087
2023-02-08 08:59:32,263 32k INFO ====> Epoch: 1088
2023-02-08 08:59:36,503 32k INFO Train Epoch: 1089 [0%]
2023-02-08 08:59:36,503 32k INFO [1.930861473083496, 2.8057973384857178, 9.907691955566406, 8.866781234741211, 0.74677973985672, 27200, 8.728352127395191e-05]
2023-02-08 08:59:59,937 32k INFO ====> Epoch: 1089
2023-02-08 09:00:27,246 32k INFO ====> Epoch: 1090
2023-02-08 09:00:54,522 32k INFO ====> Epoch: 1091
2023-02-08 09:01:21,866 32k INFO ====> Epoch: 1092
2023-02-08 09:01:49,115 32k INFO ====> Epoch: 1093
2023-02-08 09:02:16,699 32k INFO ====> Epoch: 1094
2023-02-08 09:02:47,025 32k INFO ====> Epoch: 1095
2023-02-08 09:03:19,680 32k INFO ====> Epoch: 1096
2023-02-08 09:03:28,160 32k INFO Train Epoch: 1097 [0%]
2023-02-08 09:03:28,160 32k INFO [1.9526515007019043, 2.8769798278808594, 11.579916954040527, 13.494232177734375, 0.8831942081451416, 27400, 8.719627592967335e-05]
2023-02-08 09:03:51,831 32k INFO ====> Epoch: 1097
2023-02-08 09:04:19,627 32k INFO ====> Epoch: 1098
2023-02-08 09:04:48,504 32k INFO ====> Epoch: 1099
2023-02-08 09:05:18,722 32k INFO ====> Epoch: 1100
2023-02-08 09:05:46,499 32k INFO ====> Epoch: 1101
2023-02-08 09:06:18,321 32k INFO ====> Epoch: 1102
2023-02-08 09:06:46,092 32k INFO ====> Epoch: 1103
2023-02-08 09:07:17,237 32k INFO ====> Epoch: 1104
2023-02-08 09:07:23,489 32k INFO Train Epoch: 1105 [0%]
2023-02-08 09:07:23,489 32k INFO [2.1993227005004883, 2.925412178039551, 11.52192211151123, 12.491584777832031, 0.8091538548469543, 27600, 8.710911779257877e-05]
2023-02-08 09:07:47,081 32k INFO ====> Epoch: 1105
2023-02-08 09:08:17,489 32k INFO ====> Epoch: 1106
2023-02-08 09:08:44,774 32k INFO ====> Epoch: 1107
2023-02-08 09:09:12,050 32k INFO ====> Epoch: 1108
2023-02-08 09:09:39,409 32k INFO ====> Epoch: 1109
2023-02-08 09:10:06,675 32k INFO ====> Epoch: 1110
2023-02-08 09:10:34,015 32k INFO ====> Epoch: 1111
2023-02-08 09:11:01,346 32k INFO ====> Epoch: 1112
2023-02-08 09:11:05,519 32k INFO Train Epoch: 1113 [0%]
2023-02-08 09:11:05,520 32k INFO [2.093938112258911, 2.765923261642456, 13.566853523254395, 14.921608924865723, 0.9083810448646545, 27800, 8.702204677549915e-05]
2023-02-08 09:11:28,979 32k INFO ====> Epoch: 1113
2023-02-08 09:11:56,340 32k INFO ====> Epoch: 1114
2023-02-08 09:12:23,667 32k INFO ====> Epoch: 1115
2023-02-08 09:12:50,990 32k INFO ====> Epoch: 1116
2023-02-08 09:13:18,171 32k INFO ====> Epoch: 1117
2023-02-08 09:13:45,383 32k INFO ====> Epoch: 1118
2023-02-08 09:14:12,657 32k INFO ====> Epoch: 1119
2023-02-08 09:14:39,919 32k INFO ====> Epoch: 1120
2023-02-08 09:14:44,076 32k INFO Train Epoch: 1121 [0%]
2023-02-08 09:14:44,076 32k INFO [1.939689040184021, 2.9580938816070557, 12.957777976989746, 14.081619262695312, 0.4155716001987457, 28000, 8.693506279135254e-05]
2023-02-08 09:14:48,037 32k INFO Saving model and optimizer state at iteration 1121 to ./logs\32k\G_28000.pth
2023-02-08 09:15:03,773 32k INFO Saving model and optimizer state at iteration 1121 to ./logs\32k\D_28000.pth
2023-02-08 09:15:30,687 32k INFO ====> Epoch: 1121
2023-02-08 09:15:58,257 32k INFO ====> Epoch: 1122
2023-02-08 09:16:25,624 32k INFO ====> Epoch: 1123
2023-02-08 09:16:52,916 32k INFO ====> Epoch: 1124
2023-02-08 09:17:20,363 32k INFO ====> Epoch: 1125
2023-02-08 09:17:47,610 32k INFO ====> Epoch: 1126
2023-02-08 09:18:14,894 32k INFO ====> Epoch: 1127
2023-02-08 09:18:42,144 32k INFO ====> Epoch: 1128
2023-02-08 09:18:46,300 32k INFO Train Epoch: 1129 [0%]
2023-02-08 09:18:46,300 32k INFO [2.170471429824829, 2.83182954788208, 9.845183372497559, 12.07849407196045, 0.6592841744422913, 28200, 8.684816575314411e-05]
2023-02-08 09:19:09,722 32k INFO ====> Epoch: 1129
2023-02-08 09:19:36,970 32k INFO ====> Epoch: 1130
2023-02-08 09:20:04,358 32k INFO ====> Epoch: 1131
2023-02-08 09:20:31,704 32k INFO ====> Epoch: 1132
2023-02-08 09:20:58,987 32k INFO ====> Epoch: 1133
2023-02-08 09:21:26,387 32k INFO ====> Epoch: 1134
2023-02-08 09:21:53,698 32k INFO ====> Epoch: 1135
2023-02-08 09:22:21,054 32k INFO ====> Epoch: 1136
2023-02-08 09:22:25,185 32k INFO Train Epoch: 1137 [0%]
2023-02-08 09:22:25,186 32k INFO [2.0932042598724365, 2.6467278003692627, 12.108390808105469, 14.304733276367188, 0.5893175601959229, 28400, 8.676135557396592e-05]
2023-02-08 09:22:48,627 32k INFO ====> Epoch: 1137
2023-02-08 09:23:15,825 32k INFO ====> Epoch: 1138
2023-02-08 09:23:43,101 32k INFO ====> Epoch: 1139
2023-02-08 09:24:10,470 32k INFO ====> Epoch: 1140
2023-02-08 09:24:37,736 32k INFO ====> Epoch: 1141
2023-02-08 09:25:05,111 32k INFO ====> Epoch: 1142
2023-02-08 09:25:32,500 32k INFO ====> Epoch: 1143
2023-02-08 09:25:59,702 32k INFO ====> Epoch: 1144
2023-02-08 09:26:03,925 32k INFO Train Epoch: 1145 [0%]
2023-02-08 09:26:03,925 32k INFO [2.020642042160034, 2.946762800216675, 13.239181518554688, 14.173029899597168, 0.9229944944381714, 28600, 8.667463216699696e-05]
2023-02-08 09:26:27,308 32k INFO ====> Epoch: 1145
2023-02-08 09:26:54,665 32k INFO ====> Epoch: 1146
2023-02-08 09:27:21,940 32k INFO ====> Epoch: 1147
2023-02-08 09:27:49,299 32k INFO ====> Epoch: 1148
2023-02-08 09:28:16,662 32k INFO ====> Epoch: 1149
2023-02-08 09:28:43,902 32k INFO ====> Epoch: 1150
2023-02-08 09:29:11,140 32k INFO ====> Epoch: 1151
2023-02-08 09:29:38,437 32k INFO ====> Epoch: 1152
2023-02-08 09:29:42,617 32k INFO Train Epoch: 1153 [0%]
2023-02-08 09:29:42,618 32k INFO [2.0177698135375977, 2.736988067626953, 12.197057723999023, 13.291068077087402, 0.38744091987609863, 28800, 8.658799544550295e-05]
2023-02-08 09:30:06,006 32k INFO ====> Epoch: 1153
2023-02-08 09:30:33,185 32k INFO ====> Epoch: 1154
2023-02-08 09:31:00,555 32k INFO ====> Epoch: 1155
2023-02-08 09:31:27,876 32k INFO ====> Epoch: 1156
2023-02-08 09:31:55,161 32k INFO ====> Epoch: 1157
2023-02-08 09:32:22,522 32k INFO ====> Epoch: 1158
2023-02-08 09:32:49,827 32k INFO ====> Epoch: 1159
2023-02-08 09:33:17,089 32k INFO ====> Epoch: 1160
2023-02-08 09:33:21,273 32k INFO Train Epoch: 1161 [0%]
2023-02-08 09:33:21,273 32k INFO [2.0370748043060303, 2.5785083770751953, 10.376286506652832, 10.084558486938477, 0.36720308661460876, 29000, 8.650144532283634e-05]
2023-02-08 09:33:25,355 32k INFO Saving model and optimizer state at iteration 1161 to ./logs\32k\G_29000.pth
2023-02-08 09:33:42,024 32k INFO Saving model and optimizer state at iteration 1161 to ./logs\32k\D_29000.pth
2023-02-08 09:34:09,100 32k INFO ====> Epoch: 1161
2023-02-08 09:34:36,667 32k INFO ====> Epoch: 1162
2023-02-08 09:35:04,033 32k INFO ====> Epoch: 1163
2023-02-08 09:35:31,512 32k INFO ====> Epoch: 1164
2023-02-08 09:35:58,789 32k INFO ====> Epoch: 1165
2023-02-08 09:36:26,155 32k INFO ====> Epoch: 1166
2023-02-08 09:36:53,568 32k INFO ====> Epoch: 1167
2023-02-08 09:37:20,843 32k INFO ====> Epoch: 1168
2023-02-08 09:37:25,022 32k INFO Train Epoch: 1169 [0%]
2023-02-08 09:37:25,023 32k INFO [1.8578214645385742, 2.9382271766662598, 13.127798080444336, 12.872542381286621, 0.3781052231788635, 29200, 8.641498171243619e-05]
2023-02-08 09:37:48,370 32k INFO ====> Epoch: 1169
2023-02-08 09:38:15,620 32k INFO ====> Epoch: 1170
2023-02-08 09:38:42,863 32k INFO ====> Epoch: 1171
2023-02-08 09:39:10,182 32k INFO ====> Epoch: 1172
2023-02-08 09:39:37,587 32k INFO ====> Epoch: 1173
2023-02-08 09:40:04,979 32k INFO ====> Epoch: 1174
2023-02-08 09:40:32,272 32k INFO ====> Epoch: 1175
2023-02-08 09:40:59,657 32k INFO ====> Epoch: 1176
2023-02-08 09:41:03,853 32k INFO Train Epoch: 1177 [0%]
2023-02-08 09:41:03,853 32k INFO [2.2148563861846924, 2.729956865310669, 13.944257736206055, 14.39206600189209, 0.6249511241912842, 29400, 8.632860452782808e-05]
2023-02-08 09:41:27,299 32k INFO ====> Epoch: 1177
2023-02-08 09:41:54,744 32k INFO ====> Epoch: 1178
2023-02-08 09:42:22,087 32k INFO ====> Epoch: 1179
2023-02-08 09:42:49,385 32k INFO ====> Epoch: 1180
2023-02-08 09:43:16,789 32k INFO ====> Epoch: 1181
2023-02-08 09:43:44,194 32k INFO ====> Epoch: 1182
2023-02-08 09:44:11,543 32k INFO ====> Epoch: 1183
2023-02-08 09:44:38,891 32k INFO ====> Epoch: 1184
2023-02-08 09:44:43,104 32k INFO Train Epoch: 1185 [0%]
2023-02-08 09:44:43,104 32k INFO [2.087315320968628, 2.8312559127807617, 13.00662612915039, 12.535429954528809, 0.42030754685401917, 29600, 8.624231368262399e-05]
2023-02-08 09:45:06,549 32k INFO ====> Epoch: 1185
2023-02-08 09:45:33,924 32k INFO ====> Epoch: 1186
2023-02-08 09:46:01,306 32k INFO ====> Epoch: 1187
2023-02-08 09:46:28,639 32k INFO ====> Epoch: 1188
2023-02-08 09:46:55,852 32k INFO ====> Epoch: 1189
2023-02-08 09:47:23,179 32k INFO ====> Epoch: 1190
2023-02-08 09:47:50,518 32k INFO ====> Epoch: 1191
2023-02-08 09:48:17,866 32k INFO ====> Epoch: 1192
2023-02-08 09:48:22,081 32k INFO Train Epoch: 1193 [0%]
2023-02-08 09:48:22,082 32k INFO [2.194960117340088, 2.787987232208252, 11.701970100402832, 14.090788841247559, 1.0976876020431519, 29800, 8.61561090905223e-05]
2023-02-08 09:48:45,557 32k INFO ====> Epoch: 1193
2023-02-08 09:49:12,834 32k INFO ====> Epoch: 1194
2023-02-08 09:49:40,194 32k INFO ====> Epoch: 1195
2023-02-08 09:50:07,547 32k INFO ====> Epoch: 1196
2023-02-08 09:50:34,974 32k INFO ====> Epoch: 1197
2023-02-08 09:51:02,277 32k INFO ====> Epoch: 1198
2023-02-08 09:51:29,654 32k INFO ====> Epoch: 1199
2023-02-08 09:51:57,080 32k INFO ====> Epoch: 1200
2023-02-08 09:52:01,241 32k INFO Train Epoch: 1201 [0%]
2023-02-08 09:52:01,242 32k INFO [1.8811185359954834, 3.1942968368530273, 10.10826587677002, 10.795889854431152, 0.7415468692779541, 30000, 8.60699906653076e-05]
2023-02-08 09:52:05,281 32k INFO Saving model and optimizer state at iteration 1201 to ./logs\32k\G_30000.pth
2023-02-08 09:52:21,971 32k INFO Saving model and optimizer state at iteration 1201 to ./logs\32k\D_30000.pth
2023-02-08 09:52:49,111 32k INFO ====> Epoch: 1201
2023-02-08 09:53:16,809 32k INFO ====> Epoch: 1202
2023-02-08 09:53:44,035 32k INFO ====> Epoch: 1203
2023-02-08 09:54:11,415 32k INFO ====> Epoch: 1204
2023-02-08 09:54:38,755 32k INFO ====> Epoch: 1205
2023-02-08 09:55:05,980 32k INFO ====> Epoch: 1206
2023-02-08 09:55:33,321 32k INFO ====> Epoch: 1207
2023-02-08 09:56:00,724 32k INFO ====> Epoch: 1208
2023-02-08 09:56:04,929 32k INFO Train Epoch: 1209 [0%]
2023-02-08 09:56:04,929 32k INFO [1.927981972694397, 3.1606884002685547, 12.743103981018066, 13.808783531188965, 0.794529378414154, 30200, 8.598395832085074e-05]
2023-02-08 09:56:28,394 32k INFO ====> Epoch: 1209
2023-02-08 09:56:55,828 32k INFO ====> Epoch: 1210
2023-02-08 09:57:23,225 32k INFO ====> Epoch: 1211
2023-02-08 09:57:50,699 32k INFO ====> Epoch: 1212
2023-02-08 09:58:18,076 32k INFO ====> Epoch: 1213
2023-02-08 09:58:45,467 32k INFO ====> Epoch: 1214
2023-02-08 09:59:12,717 32k INFO ====> Epoch: 1215
2023-02-08 09:59:39,966 32k INFO ====> Epoch: 1216
2023-02-08 09:59:44,234 32k INFO Train Epoch: 1217 [0%]
2023-02-08 09:59:44,234 32k INFO [2.3044164180755615, 2.463995933532715, 11.896080017089844, 13.589179992675781, 0.7965167760848999, 30400, 8.589801197110862e-05]
2023-02-08 10:00:07,757 32k INFO ====> Epoch: 1217
2023-02-08 10:00:35,013 32k INFO ====> Epoch: 1218
2023-02-08 10:01:02,349 32k INFO ====> Epoch: 1219
2023-02-08 10:01:29,602 32k INFO ====> Epoch: 1220
2023-02-08 10:01:56,831 32k INFO ====> Epoch: 1221
2023-02-08 10:02:24,068 32k INFO ====> Epoch: 1222
2023-02-08 10:02:51,403 32k INFO ====> Epoch: 1223
2023-02-08 10:03:18,796 32k INFO ====> Epoch: 1224
2023-02-08 10:03:22,974 32k INFO Train Epoch: 1225 [0%]
2023-02-08 10:03:22,974 32k INFO [2.268793821334839, 2.453453302383423, 9.844642639160156, 11.24267578125, 0.5464154481887817, 30600, 8.581215153012409e-05]
2023-02-08 10:03:46,340 32k INFO ====> Epoch: 1225
2023-02-08 10:04:13,666 32k INFO ====> Epoch: 1226
2023-02-08 10:04:41,052 32k INFO ====> Epoch: 1227
2023-02-08 10:05:08,496 32k INFO ====> Epoch: 1228
2023-02-08 10:05:35,873 32k INFO ====> Epoch: 1229
2023-02-08 10:06:03,196 32k INFO ====> Epoch: 1230
2023-02-08 10:06:30,564 32k INFO ====> Epoch: 1231
2023-02-08 10:06:57,831 32k INFO ====> Epoch: 1232
2023-02-08 10:07:02,031 32k INFO Train Epoch: 1233 [0%]
2023-02-08 10:07:02,031 32k INFO [1.8697799444198608, 2.801100492477417, 13.420161247253418, 14.821958541870117, 0.4556283950805664, 30800, 8.572637691202598e-05]
2023-02-08 10:07:25,437 32k INFO ====> Epoch: 1233
2023-02-08 10:07:52,724 32k INFO ====> Epoch: 1234
2023-02-08 10:08:20,016 32k INFO ====> Epoch: 1235
2023-02-08 10:08:47,474 32k INFO ====> Epoch: 1236
2023-02-08 10:09:14,777 32k INFO ====> Epoch: 1237
2023-02-08 10:09:42,177 32k INFO ====> Epoch: 1238
2023-02-08 10:10:09,489 32k INFO ====> Epoch: 1239
2023-02-08 10:10:36,728 32k INFO ====> Epoch: 1240
2023-02-08 10:10:40,928 32k INFO Train Epoch: 1241 [0%]
2023-02-08 10:10:40,928 32k INFO [1.9147690534591675, 3.203052282333374, 14.652215957641602, 15.598044395446777, 0.8918375372886658, 31000, 8.564068803102896e-05]
2023-02-08 10:10:44,934 32k INFO Saving model and optimizer state at iteration 1241 to ./logs\32k\G_31000.pth
2023-02-08 10:11:01,634 32k INFO Saving model and optimizer state at iteration 1241 to ./logs\32k\D_31000.pth
2023-02-08 10:11:28,464 32k INFO ====> Epoch: 1241
2023-02-08 10:11:56,080 32k INFO ====> Epoch: 1242
2023-02-08 10:12:23,417 32k INFO ====> Epoch: 1243
2023-02-08 10:12:50,789 32k INFO ====> Epoch: 1244
2023-02-08 10:13:18,246 32k INFO ====> Epoch: 1245
2023-02-08 10:13:45,431 32k INFO ====> Epoch: 1246
2023-02-08 10:14:12,781 32k INFO ====> Epoch: 1247
2023-02-08 10:14:40,095 32k INFO ====> Epoch: 1248
2023-02-08 10:14:44,280 32k INFO Train Epoch: 1249 [0%]
2023-02-08 10:14:44,280 32k INFO [2.015170097351074, 2.924136161804199, 10.694207191467285, 9.059477806091309, 1.2454259395599365, 31200, 8.555508480143342e-05]
2023-02-08 10:15:07,677 32k INFO ====> Epoch: 1249
2023-02-08 10:15:35,019 32k INFO ====> Epoch: 1250
2023-02-08 10:16:02,439 32k INFO ====> Epoch: 1251
2023-02-08 10:16:29,611 32k INFO ====> Epoch: 1252
2023-02-08 10:16:56,870 32k INFO ====> Epoch: 1253
2023-02-08 10:17:24,326 32k INFO ====> Epoch: 1254
2023-02-08 10:17:51,605 32k INFO ====> Epoch: 1255
2023-02-08 10:18:19,047 32k INFO ====> Epoch: 1256
2023-02-08 10:18:23,253 32k INFO Train Epoch: 1257 [0%]
2023-02-08 10:18:23,254 32k INFO [2.1035544872283936, 2.792524814605713, 12.794790267944336, 12.204944610595703, 1.0216072797775269, 31400, 8.546956713762543e-05]
2023-02-08 10:18:46,720 32k INFO ====> Epoch: 1257
2023-02-08 10:19:14,023 32k INFO ====> Epoch: 1258
2023-02-08 10:19:41,320 32k INFO ====> Epoch: 1259
2023-02-08 10:20:13,741 32k INFO ====> Epoch: 1260
2023-02-08 10:20:42,518 32k INFO ====> Epoch: 1261
2023-02-08 10:21:11,894 32k INFO ====> Epoch: 1262
2023-02-08 10:21:47,753 32k INFO ====> Epoch: 1263
2023-02-08 10:22:20,808 32k INFO ====> Epoch: 1264
2023-02-08 10:22:25,009 32k INFO Train Epoch: 1265 [0%]
2023-02-08 10:22:25,010 32k INFO [2.013395071029663, 2.8495562076568604, 12.468149185180664, 11.81267261505127, 0.8265888690948486, 31600, 8.538413495407661e-05]
2023-02-08 10:22:58,544 32k INFO ====> Epoch: 1265
2023-02-08 10:23:29,056 32k INFO ====> Epoch: 1266
2023-02-08 10:23:56,321 32k INFO ====> Epoch: 1267
2023-02-08 10:24:23,505 32k INFO ====> Epoch: 1268
2023-02-08 10:24:50,857 32k INFO ====> Epoch: 1269
2023-02-08 10:25:18,113 32k INFO ====> Epoch: 1270
2023-02-08 10:25:45,432 32k INFO ====> Epoch: 1271
2023-02-08 10:26:12,688 32k INFO ====> Epoch: 1272
2023-02-08 10:26:16,831 32k INFO Train Epoch: 1273 [0%]
2023-02-08 10:26:16,832 32k INFO [1.9882725477218628, 2.6884682178497314, 12.922835350036621, 12.582452774047852, 0.8043097853660583, 31800, 8.529878816534412e-05]
2023-02-08 10:26:40,255 32k INFO ====> Epoch: 1273
2023-02-08 10:27:07,552 32k INFO ====> Epoch: 1274
2023-02-08 10:27:34,933 32k INFO ====> Epoch: 1275
2023-02-08 10:28:02,179 32k INFO ====> Epoch: 1276
2023-02-08 10:28:29,371 32k INFO ====> Epoch: 1277
2023-02-08 10:28:56,581 32k INFO ====> Epoch: 1278
2023-02-08 10:29:23,756 32k INFO ====> Epoch: 1279
2023-02-08 10:30:03,311 32k INFO ====> Epoch: 1280
2023-02-08 10:30:07,950 32k INFO Train Epoch: 1281 [0%]
2023-02-08 10:30:07,950 32k INFO [1.8800674676895142, 3.2542593479156494, 11.380488395690918, 12.834031105041504, 0.5087487101554871, 32000, 8.521352668607046e-05]
2023-02-08 10:30:12,228 32k INFO Saving model and optimizer state at iteration 1281 to ./logs\32k\G_32000.pth
2023-02-08 10:30:26,442 32k INFO Saving model and optimizer state at iteration 1281 to ./logs\32k\D_32000.pth
2023-02-08 10:30:58,442 32k INFO ====> Epoch: 1281
|