File size: 246,584 Bytes
ba93b25 3e16683 ba93b25 3e16683 ba93b25 3e16683 ba93b25 3e16683 ba93b25 |
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 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144 2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 2174 2175 2176 2177 2178 2179 2180 2181 2182 2183 |
2023-04-05 11:29:16,133 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:16,133 Model: "SequenceTagger(
(embeddings): StackedEmbeddings(
(list_embedding_0): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.05, inplace=False)
(encoder): Embedding(300, 100)
(rnn): LSTM(100, 2048)
)
)
(list_embedding_1): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.05, inplace=False)
(encoder): Embedding(300, 100)
(rnn): LSTM(100, 2048)
)
)
)
(word_dropout): WordDropout(p=0.05)
(locked_dropout): LockedDropout(p=0.5)
(embedding2nn): Linear(in_features=4096, out_features=4096, bias=True)
(rnn): LSTM(4096, 256, batch_first=True, bidirectional=True)
(linear): Linear(in_features=512, out_features=47, bias=True)
(loss_function): ViterbiLoss()
(crf): CRF()
)"
2023-04-05 11:29:16,133 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:16,134 Corpus: "Corpus: 8042 train + 894 dev + 2012 test sentences"
2023-04-05 11:29:16,134 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:16,134 Parameters:
2023-04-05 11:29:16,134 - learning_rate: "0.100000"
2023-04-05 11:29:16,134 - mini_batch_size: "32"
2023-04-05 11:29:16,134 - patience: "3"
2023-04-05 11:29:16,134 - anneal_factor: "0.5"
2023-04-05 11:29:16,134 - max_epochs: "150"
2023-04-05 11:29:16,134 - shuffle: "True"
2023-04-05 11:29:16,134 - train_with_dev: "True"
2023-04-05 11:29:16,134 - batch_growth_annealing: "False"
2023-04-05 11:29:16,134 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:16,134 Model training base path: "resources/taggers/release-chunk-0"
2023-04-05 11:29:16,134 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:16,134 Device: cuda:3
2023-04-05 11:29:16,134 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:16,134 Embeddings storage mode: cpu
2023-04-05 11:29:16,134 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:20,904 epoch 1 - iter 28/280 - loss 2.37282876 - time (sec): 4.77 - samples/sec: 4432.43 - lr: 0.100000
2023-04-05 11:29:24,490 epoch 1 - iter 56/280 - loss 1.73442584 - time (sec): 8.36 - samples/sec: 5102.03 - lr: 0.100000
2023-04-05 11:29:28,013 epoch 1 - iter 84/280 - loss 1.39084026 - time (sec): 11.88 - samples/sec: 5382.16 - lr: 0.100000
2023-04-05 11:29:33,009 epoch 1 - iter 112/280 - loss 1.17618757 - time (sec): 16.88 - samples/sec: 5028.12 - lr: 0.100000
2023-04-05 11:29:36,729 epoch 1 - iter 140/280 - loss 1.01802104 - time (sec): 20.59 - samples/sec: 5195.77 - lr: 0.100000
2023-04-05 11:29:40,304 epoch 1 - iter 168/280 - loss 0.90572495 - time (sec): 24.17 - samples/sec: 5289.08 - lr: 0.100000
2023-04-05 11:29:43,736 epoch 1 - iter 196/280 - loss 0.82891649 - time (sec): 27.60 - samples/sec: 5357.88 - lr: 0.100000
2023-04-05 11:29:47,291 epoch 1 - iter 224/280 - loss 0.76158106 - time (sec): 31.16 - samples/sec: 5444.79 - lr: 0.100000
2023-04-05 11:29:50,847 epoch 1 - iter 252/280 - loss 0.70683343 - time (sec): 34.71 - samples/sec: 5496.58 - lr: 0.100000
2023-04-05 11:29:54,384 epoch 1 - iter 280/280 - loss 0.66134975 - time (sec): 38.25 - samples/sec: 5534.41 - lr: 0.100000
2023-04-05 11:29:54,384 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:54,384 EPOCH 1 done: loss 0.6613 - lr 0.100000
2023-04-05 11:29:54,384 BAD EPOCHS (no improvement): 0
2023-04-05 11:29:54,387 ----------------------------------------------------------------------------------------------------
2023-04-05 11:29:56,124 epoch 2 - iter 28/280 - loss 0.24668011 - time (sec): 1.74 - samples/sec: 12130.51 - lr: 0.100000
2023-04-05 11:29:57,899 epoch 2 - iter 56/280 - loss 0.24616989 - time (sec): 3.51 - samples/sec: 12029.61 - lr: 0.100000
2023-04-05 11:29:59,712 epoch 2 - iter 84/280 - loss 0.23759242 - time (sec): 5.32 - samples/sec: 11832.70 - lr: 0.100000
2023-04-05 11:30:01,551 epoch 2 - iter 112/280 - loss 0.22930022 - time (sec): 7.16 - samples/sec: 11789.17 - lr: 0.100000
2023-04-05 11:30:03,348 epoch 2 - iter 140/280 - loss 0.22235325 - time (sec): 8.96 - samples/sec: 11781.96 - lr: 0.100000
2023-04-05 11:30:05,149 epoch 2 - iter 168/280 - loss 0.21541826 - time (sec): 10.76 - samples/sec: 11783.35 - lr: 0.100000
2023-04-05 11:30:06,952 epoch 2 - iter 196/280 - loss 0.21196149 - time (sec): 12.56 - samples/sec: 11783.15 - lr: 0.100000
2023-04-05 11:30:08,784 epoch 2 - iter 224/280 - loss 0.21048863 - time (sec): 14.40 - samples/sec: 11772.43 - lr: 0.100000
2023-04-05 11:30:10,584 epoch 2 - iter 252/280 - loss 0.20862461 - time (sec): 16.20 - samples/sec: 11777.92 - lr: 0.100000
2023-04-05 11:30:12,361 epoch 2 - iter 280/280 - loss 0.20466419 - time (sec): 17.97 - samples/sec: 11778.29 - lr: 0.100000
2023-04-05 11:30:12,361 ----------------------------------------------------------------------------------------------------
2023-04-05 11:30:12,361 EPOCH 2 done: loss 0.2047 - lr 0.100000
2023-04-05 11:30:12,361 BAD EPOCHS (no improvement): 0
2023-04-05 11:30:12,363 ----------------------------------------------------------------------------------------------------
2023-04-05 11:30:14,195 epoch 3 - iter 28/280 - loss 0.16277843 - time (sec): 1.83 - samples/sec: 11616.71 - lr: 0.100000
2023-04-05 11:30:16,031 epoch 3 - iter 56/280 - loss 0.17432135 - time (sec): 3.67 - samples/sec: 11684.18 - lr: 0.100000
2023-04-05 11:30:17,808 epoch 3 - iter 84/280 - loss 0.16850032 - time (sec): 5.44 - samples/sec: 11803.52 - lr: 0.100000
2023-04-05 11:30:19,567 epoch 3 - iter 112/280 - loss 0.16801260 - time (sec): 7.20 - samples/sec: 11785.46 - lr: 0.100000
2023-04-05 11:30:21,364 epoch 3 - iter 140/280 - loss 0.16475608 - time (sec): 9.00 - samples/sec: 11795.95 - lr: 0.100000
2023-04-05 11:30:23,182 epoch 3 - iter 168/280 - loss 0.16252822 - time (sec): 10.82 - samples/sec: 11787.04 - lr: 0.100000
2023-04-05 11:30:24,948 epoch 3 - iter 196/280 - loss 0.16073945 - time (sec): 12.58 - samples/sec: 11766.81 - lr: 0.100000
2023-04-05 11:30:26,745 epoch 3 - iter 224/280 - loss 0.15922105 - time (sec): 14.38 - samples/sec: 11756.76 - lr: 0.100000
2023-04-05 11:30:28,582 epoch 3 - iter 252/280 - loss 0.15826088 - time (sec): 16.22 - samples/sec: 11761.51 - lr: 0.100000
2023-04-05 11:30:30,368 epoch 3 - iter 280/280 - loss 0.15778524 - time (sec): 18.00 - samples/sec: 11757.82 - lr: 0.100000
2023-04-05 11:30:30,368 ----------------------------------------------------------------------------------------------------
2023-04-05 11:30:30,368 EPOCH 3 done: loss 0.1578 - lr 0.100000
2023-04-05 11:30:30,368 BAD EPOCHS (no improvement): 0
2023-04-05 11:30:30,371 ----------------------------------------------------------------------------------------------------
2023-04-05 11:30:32,169 epoch 4 - iter 28/280 - loss 0.14274724 - time (sec): 1.80 - samples/sec: 11788.44 - lr: 0.100000
2023-04-05 11:30:33,965 epoch 4 - iter 56/280 - loss 0.14312035 - time (sec): 3.59 - samples/sec: 11819.57 - lr: 0.100000
2023-04-05 11:30:35,737 epoch 4 - iter 84/280 - loss 0.13768537 - time (sec): 5.37 - samples/sec: 11847.30 - lr: 0.100000
2023-04-05 11:30:37,479 epoch 4 - iter 112/280 - loss 0.13556362 - time (sec): 7.11 - samples/sec: 11916.08 - lr: 0.100000
2023-04-05 11:30:39,336 epoch 4 - iter 140/280 - loss 0.13667169 - time (sec): 8.97 - samples/sec: 11818.26 - lr: 0.100000
2023-04-05 11:30:41,119 epoch 4 - iter 168/280 - loss 0.13595646 - time (sec): 10.75 - samples/sec: 11803.97 - lr: 0.100000
2023-04-05 11:30:42,896 epoch 4 - iter 196/280 - loss 0.13611689 - time (sec): 12.52 - samples/sec: 11778.91 - lr: 0.100000
2023-04-05 11:30:44,728 epoch 4 - iter 224/280 - loss 0.13479738 - time (sec): 14.36 - samples/sec: 11773.31 - lr: 0.100000
2023-04-05 11:30:46,561 epoch 4 - iter 252/280 - loss 0.13301677 - time (sec): 16.19 - samples/sec: 11780.00 - lr: 0.100000
2023-04-05 11:30:48,327 epoch 4 - iter 280/280 - loss 0.13254673 - time (sec): 17.96 - samples/sec: 11789.74 - lr: 0.100000
2023-04-05 11:30:48,327 ----------------------------------------------------------------------------------------------------
2023-04-05 11:30:48,327 EPOCH 4 done: loss 0.1325 - lr 0.100000
2023-04-05 11:30:48,327 BAD EPOCHS (no improvement): 0
2023-04-05 11:30:48,330 ----------------------------------------------------------------------------------------------------
2023-04-05 11:30:50,128 epoch 5 - iter 28/280 - loss 0.12537979 - time (sec): 1.80 - samples/sec: 11431.83 - lr: 0.100000
2023-04-05 11:30:51,955 epoch 5 - iter 56/280 - loss 0.12291704 - time (sec): 3.63 - samples/sec: 11609.58 - lr: 0.100000
2023-04-05 11:30:53,744 epoch 5 - iter 84/280 - loss 0.11978898 - time (sec): 5.41 - samples/sec: 11717.65 - lr: 0.100000
2023-04-05 11:30:55,531 epoch 5 - iter 112/280 - loss 0.11880713 - time (sec): 7.20 - samples/sec: 11688.63 - lr: 0.100000
2023-04-05 11:30:57,348 epoch 5 - iter 140/280 - loss 0.11870187 - time (sec): 9.02 - samples/sec: 11686.40 - lr: 0.100000
2023-04-05 11:30:59,163 epoch 5 - iter 168/280 - loss 0.11853175 - time (sec): 10.83 - samples/sec: 11685.86 - lr: 0.100000
2023-04-05 11:31:00,955 epoch 5 - iter 196/280 - loss 0.11923794 - time (sec): 12.63 - samples/sec: 11701.98 - lr: 0.100000
2023-04-05 11:31:02,891 epoch 5 - iter 224/280 - loss 0.11909223 - time (sec): 14.56 - samples/sec: 11623.20 - lr: 0.100000
2023-04-05 11:31:04,734 epoch 5 - iter 252/280 - loss 0.11794536 - time (sec): 16.40 - samples/sec: 11633.82 - lr: 0.100000
2023-04-05 11:31:06,505 epoch 5 - iter 280/280 - loss 0.11774263 - time (sec): 18.18 - samples/sec: 11647.06 - lr: 0.100000
2023-04-05 11:31:06,505 ----------------------------------------------------------------------------------------------------
2023-04-05 11:31:06,505 EPOCH 5 done: loss 0.1177 - lr 0.100000
2023-04-05 11:31:06,505 BAD EPOCHS (no improvement): 0
2023-04-05 11:31:06,508 ----------------------------------------------------------------------------------------------------
2023-04-05 11:31:08,257 epoch 6 - iter 28/280 - loss 0.10801801 - time (sec): 1.75 - samples/sec: 11894.68 - lr: 0.100000
2023-04-05 11:31:10,057 epoch 6 - iter 56/280 - loss 0.10536099 - time (sec): 3.55 - samples/sec: 11890.34 - lr: 0.100000
2023-04-05 11:31:11,853 epoch 6 - iter 84/280 - loss 0.10593172 - time (sec): 5.34 - samples/sec: 11855.36 - lr: 0.100000
2023-04-05 11:31:13,642 epoch 6 - iter 112/280 - loss 0.10568821 - time (sec): 7.13 - samples/sec: 11912.10 - lr: 0.100000
2023-04-05 11:31:15,482 epoch 6 - iter 140/280 - loss 0.10486267 - time (sec): 8.97 - samples/sec: 11865.52 - lr: 0.100000
2023-04-05 11:31:17,306 epoch 6 - iter 168/280 - loss 0.10671355 - time (sec): 10.80 - samples/sec: 11840.71 - lr: 0.100000
2023-04-05 11:31:19,103 epoch 6 - iter 196/280 - loss 0.10612224 - time (sec): 12.59 - samples/sec: 11813.09 - lr: 0.100000
2023-04-05 11:31:20,911 epoch 6 - iter 224/280 - loss 0.10697215 - time (sec): 14.40 - samples/sec: 11805.82 - lr: 0.100000
2023-04-05 11:31:22,703 epoch 6 - iter 252/280 - loss 0.10663050 - time (sec): 16.19 - samples/sec: 11796.44 - lr: 0.100000
2023-04-05 11:31:24,415 epoch 6 - iter 280/280 - loss 0.10712894 - time (sec): 17.91 - samples/sec: 11821.96 - lr: 0.100000
2023-04-05 11:31:24,415 ----------------------------------------------------------------------------------------------------
2023-04-05 11:31:24,415 EPOCH 6 done: loss 0.1071 - lr 0.100000
2023-04-05 11:31:24,416 BAD EPOCHS (no improvement): 0
2023-04-05 11:31:24,418 ----------------------------------------------------------------------------------------------------
2023-04-05 11:31:26,222 epoch 7 - iter 28/280 - loss 0.10256719 - time (sec): 1.80 - samples/sec: 12127.62 - lr: 0.100000
2023-04-05 11:31:27,993 epoch 7 - iter 56/280 - loss 0.10351566 - time (sec): 3.57 - samples/sec: 12053.90 - lr: 0.100000
2023-04-05 11:31:29,792 epoch 7 - iter 84/280 - loss 0.10268535 - time (sec): 5.37 - samples/sec: 11992.86 - lr: 0.100000
2023-04-05 11:31:31,574 epoch 7 - iter 112/280 - loss 0.10340487 - time (sec): 7.16 - samples/sec: 11931.98 - lr: 0.100000
2023-04-05 11:31:33,397 epoch 7 - iter 140/280 - loss 0.10325865 - time (sec): 8.98 - samples/sec: 11884.65 - lr: 0.100000
2023-04-05 11:31:35,220 epoch 7 - iter 168/280 - loss 0.10161036 - time (sec): 10.80 - samples/sec: 11818.19 - lr: 0.100000
2023-04-05 11:31:36,970 epoch 7 - iter 196/280 - loss 0.10121591 - time (sec): 12.55 - samples/sec: 11836.74 - lr: 0.100000
2023-04-05 11:31:38,814 epoch 7 - iter 224/280 - loss 0.10067595 - time (sec): 14.40 - samples/sec: 11793.36 - lr: 0.100000
2023-04-05 11:31:40,682 epoch 7 - iter 252/280 - loss 0.10019403 - time (sec): 16.26 - samples/sec: 11766.37 - lr: 0.100000
2023-04-05 11:31:42,426 epoch 7 - iter 280/280 - loss 0.10001916 - time (sec): 18.01 - samples/sec: 11755.30 - lr: 0.100000
2023-04-05 11:31:42,427 ----------------------------------------------------------------------------------------------------
2023-04-05 11:31:42,427 EPOCH 7 done: loss 0.1000 - lr 0.100000
2023-04-05 11:31:42,427 BAD EPOCHS (no improvement): 0
2023-04-05 11:31:42,430 ----------------------------------------------------------------------------------------------------
2023-04-05 11:31:44,225 epoch 8 - iter 28/280 - loss 0.08849263 - time (sec): 1.80 - samples/sec: 11727.64 - lr: 0.100000
2023-04-05 11:31:46,035 epoch 8 - iter 56/280 - loss 0.09232933 - time (sec): 3.60 - samples/sec: 11868.37 - lr: 0.100000
2023-04-05 11:31:47,863 epoch 8 - iter 84/280 - loss 0.09227452 - time (sec): 5.43 - samples/sec: 11817.83 - lr: 0.100000
2023-04-05 11:31:49,637 epoch 8 - iter 112/280 - loss 0.09299395 - time (sec): 7.21 - samples/sec: 11913.64 - lr: 0.100000
2023-04-05 11:31:51,441 epoch 8 - iter 140/280 - loss 0.09202120 - time (sec): 9.01 - samples/sec: 11861.14 - lr: 0.100000
2023-04-05 11:31:53,117 epoch 8 - iter 168/280 - loss 0.09216183 - time (sec): 10.69 - samples/sec: 11887.35 - lr: 0.100000
2023-04-05 11:31:54,910 epoch 8 - iter 196/280 - loss 0.09194170 - time (sec): 12.48 - samples/sec: 11868.36 - lr: 0.100000
2023-04-05 11:31:56,734 epoch 8 - iter 224/280 - loss 0.09123647 - time (sec): 14.30 - samples/sec: 11844.22 - lr: 0.100000
2023-04-05 11:31:58,628 epoch 8 - iter 252/280 - loss 0.09127536 - time (sec): 16.20 - samples/sec: 11809.29 - lr: 0.100000
2023-04-05 11:32:00,394 epoch 8 - iter 280/280 - loss 0.09166344 - time (sec): 17.96 - samples/sec: 11784.09 - lr: 0.100000
2023-04-05 11:32:00,395 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:00,395 EPOCH 8 done: loss 0.0917 - lr 0.100000
2023-04-05 11:32:00,395 BAD EPOCHS (no improvement): 0
2023-04-05 11:32:00,397 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:02,250 epoch 9 - iter 28/280 - loss 0.08691646 - time (sec): 1.85 - samples/sec: 11541.27 - lr: 0.100000
2023-04-05 11:32:04,097 epoch 9 - iter 56/280 - loss 0.08739923 - time (sec): 3.70 - samples/sec: 11396.09 - lr: 0.100000
2023-04-05 11:32:05,937 epoch 9 - iter 84/280 - loss 0.08610714 - time (sec): 5.54 - samples/sec: 11526.95 - lr: 0.100000
2023-04-05 11:32:07,775 epoch 9 - iter 112/280 - loss 0.08638211 - time (sec): 7.38 - samples/sec: 11570.04 - lr: 0.100000
2023-04-05 11:32:09,594 epoch 9 - iter 140/280 - loss 0.08613884 - time (sec): 9.20 - samples/sec: 11595.80 - lr: 0.100000
2023-04-05 11:32:11,380 epoch 9 - iter 168/280 - loss 0.08523617 - time (sec): 10.98 - samples/sec: 11614.54 - lr: 0.100000
2023-04-05 11:32:13,220 epoch 9 - iter 196/280 - loss 0.08655958 - time (sec): 12.82 - samples/sec: 11599.92 - lr: 0.100000
2023-04-05 11:32:15,104 epoch 9 - iter 224/280 - loss 0.08703691 - time (sec): 14.71 - samples/sec: 11585.91 - lr: 0.100000
2023-04-05 11:32:16,878 epoch 9 - iter 252/280 - loss 0.08710248 - time (sec): 16.48 - samples/sec: 11595.87 - lr: 0.100000
2023-04-05 11:32:18,643 epoch 9 - iter 280/280 - loss 0.08699147 - time (sec): 18.25 - samples/sec: 11602.48 - lr: 0.100000
2023-04-05 11:32:18,643 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:18,643 EPOCH 9 done: loss 0.0870 - lr 0.100000
2023-04-05 11:32:18,643 BAD EPOCHS (no improvement): 0
2023-04-05 11:32:18,647 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:20,427 epoch 10 - iter 28/280 - loss 0.08535297 - time (sec): 1.78 - samples/sec: 11948.04 - lr: 0.100000
2023-04-05 11:32:22,196 epoch 10 - iter 56/280 - loss 0.08225209 - time (sec): 3.55 - samples/sec: 11858.92 - lr: 0.100000
2023-04-05 11:32:24,001 epoch 10 - iter 84/280 - loss 0.08155333 - time (sec): 5.35 - samples/sec: 11868.84 - lr: 0.100000
2023-04-05 11:32:25,771 epoch 10 - iter 112/280 - loss 0.08096331 - time (sec): 7.12 - samples/sec: 11912.14 - lr: 0.100000
2023-04-05 11:32:27,573 epoch 10 - iter 140/280 - loss 0.08188113 - time (sec): 8.93 - samples/sec: 11910.16 - lr: 0.100000
2023-04-05 11:32:29,400 epoch 10 - iter 168/280 - loss 0.08212457 - time (sec): 10.75 - samples/sec: 11849.47 - lr: 0.100000
2023-04-05 11:32:31,185 epoch 10 - iter 196/280 - loss 0.08269054 - time (sec): 12.54 - samples/sec: 11829.85 - lr: 0.100000
2023-04-05 11:32:33,060 epoch 10 - iter 224/280 - loss 0.08137674 - time (sec): 14.41 - samples/sec: 11793.96 - lr: 0.100000
2023-04-05 11:32:34,796 epoch 10 - iter 252/280 - loss 0.08172281 - time (sec): 16.15 - samples/sec: 11838.84 - lr: 0.100000
2023-04-05 11:32:36,527 epoch 10 - iter 280/280 - loss 0.08182399 - time (sec): 17.88 - samples/sec: 11839.46 - lr: 0.100000
2023-04-05 11:32:36,527 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:36,527 EPOCH 10 done: loss 0.0818 - lr 0.100000
2023-04-05 11:32:36,528 BAD EPOCHS (no improvement): 0
2023-04-05 11:32:36,531 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:38,288 epoch 11 - iter 28/280 - loss 0.07156185 - time (sec): 1.76 - samples/sec: 12189.09 - lr: 0.100000
2023-04-05 11:32:40,074 epoch 11 - iter 56/280 - loss 0.07200991 - time (sec): 3.54 - samples/sec: 11957.20 - lr: 0.100000
2023-04-05 11:32:41,935 epoch 11 - iter 84/280 - loss 0.07392035 - time (sec): 5.40 - samples/sec: 11782.18 - lr: 0.100000
2023-04-05 11:32:43,701 epoch 11 - iter 112/280 - loss 0.07559662 - time (sec): 7.17 - samples/sec: 11808.79 - lr: 0.100000
2023-04-05 11:32:45,544 epoch 11 - iter 140/280 - loss 0.07517000 - time (sec): 9.01 - samples/sec: 11760.89 - lr: 0.100000
2023-04-05 11:32:47,398 epoch 11 - iter 168/280 - loss 0.07561808 - time (sec): 10.87 - samples/sec: 11698.21 - lr: 0.100000
2023-04-05 11:32:49,244 epoch 11 - iter 196/280 - loss 0.07684873 - time (sec): 12.71 - samples/sec: 11666.50 - lr: 0.100000
2023-04-05 11:32:51,090 epoch 11 - iter 224/280 - loss 0.07733744 - time (sec): 14.56 - samples/sec: 11670.83 - lr: 0.100000
2023-04-05 11:32:52,871 epoch 11 - iter 252/280 - loss 0.07693746 - time (sec): 16.34 - samples/sec: 11691.73 - lr: 0.100000
2023-04-05 11:32:54,614 epoch 11 - iter 280/280 - loss 0.07701976 - time (sec): 18.08 - samples/sec: 11706.81 - lr: 0.100000
2023-04-05 11:32:54,614 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:54,614 EPOCH 11 done: loss 0.0770 - lr 0.100000
2023-04-05 11:32:54,614 BAD EPOCHS (no improvement): 0
2023-04-05 11:32:54,617 ----------------------------------------------------------------------------------------------------
2023-04-05 11:32:56,400 epoch 12 - iter 28/280 - loss 0.07852467 - time (sec): 1.78 - samples/sec: 12119.72 - lr: 0.100000
2023-04-05 11:32:58,132 epoch 12 - iter 56/280 - loss 0.07356340 - time (sec): 3.51 - samples/sec: 12017.71 - lr: 0.100000
2023-04-05 11:32:59,959 epoch 12 - iter 84/280 - loss 0.07042798 - time (sec): 5.34 - samples/sec: 11975.28 - lr: 0.100000
2023-04-05 11:33:01,732 epoch 12 - iter 112/280 - loss 0.07134553 - time (sec): 7.12 - samples/sec: 11931.58 - lr: 0.100000
2023-04-05 11:33:03,583 epoch 12 - iter 140/280 - loss 0.07158955 - time (sec): 8.97 - samples/sec: 11865.90 - lr: 0.100000
2023-04-05 11:33:06,726 epoch 12 - iter 168/280 - loss 0.07262901 - time (sec): 12.11 - samples/sec: 10551.86 - lr: 0.100000
2023-04-05 11:33:08,550 epoch 12 - iter 196/280 - loss 0.07252849 - time (sec): 13.93 - samples/sec: 10721.54 - lr: 0.100000
2023-04-05 11:33:10,301 epoch 12 - iter 224/280 - loss 0.07348081 - time (sec): 15.68 - samples/sec: 10853.72 - lr: 0.100000
2023-04-05 11:33:12,090 epoch 12 - iter 252/280 - loss 0.07351550 - time (sec): 17.47 - samples/sec: 10951.22 - lr: 0.100000
2023-04-05 11:33:13,763 epoch 12 - iter 280/280 - loss 0.07405583 - time (sec): 19.15 - samples/sec: 11056.70 - lr: 0.100000
2023-04-05 11:33:13,763 ----------------------------------------------------------------------------------------------------
2023-04-05 11:33:13,763 EPOCH 12 done: loss 0.0741 - lr 0.100000
2023-04-05 11:33:13,764 BAD EPOCHS (no improvement): 0
2023-04-05 11:33:13,766 ----------------------------------------------------------------------------------------------------
2023-04-05 11:33:15,580 epoch 13 - iter 28/280 - loss 0.06782838 - time (sec): 1.81 - samples/sec: 11959.83 - lr: 0.100000
2023-04-05 11:33:17,339 epoch 13 - iter 56/280 - loss 0.07030787 - time (sec): 3.57 - samples/sec: 11861.03 - lr: 0.100000
2023-04-05 11:33:19,117 epoch 13 - iter 84/280 - loss 0.07030536 - time (sec): 5.35 - samples/sec: 11829.81 - lr: 0.100000
2023-04-05 11:33:21,039 epoch 13 - iter 112/280 - loss 0.07025503 - time (sec): 7.27 - samples/sec: 11750.55 - lr: 0.100000
2023-04-05 11:33:22,846 epoch 13 - iter 140/280 - loss 0.07055923 - time (sec): 9.08 - samples/sec: 11789.86 - lr: 0.100000
2023-04-05 11:33:24,670 epoch 13 - iter 168/280 - loss 0.06975797 - time (sec): 10.90 - samples/sec: 11769.79 - lr: 0.100000
2023-04-05 11:33:26,470 epoch 13 - iter 196/280 - loss 0.07023482 - time (sec): 12.70 - samples/sec: 11766.83 - lr: 0.100000
2023-04-05 11:33:28,217 epoch 13 - iter 224/280 - loss 0.07091191 - time (sec): 14.45 - samples/sec: 11756.14 - lr: 0.100000
2023-04-05 11:33:30,052 epoch 13 - iter 252/280 - loss 0.07062376 - time (sec): 16.29 - samples/sec: 11744.18 - lr: 0.100000
2023-04-05 11:33:31,768 epoch 13 - iter 280/280 - loss 0.07032591 - time (sec): 18.00 - samples/sec: 11759.28 - lr: 0.100000
2023-04-05 11:33:31,769 ----------------------------------------------------------------------------------------------------
2023-04-05 11:33:31,769 EPOCH 13 done: loss 0.0703 - lr 0.100000
2023-04-05 11:33:31,769 BAD EPOCHS (no improvement): 0
2023-04-05 11:33:31,772 ----------------------------------------------------------------------------------------------------
2023-04-05 11:33:33,600 epoch 14 - iter 28/280 - loss 0.07117781 - time (sec): 1.83 - samples/sec: 11609.76 - lr: 0.100000
2023-04-05 11:33:35,435 epoch 14 - iter 56/280 - loss 0.06757552 - time (sec): 3.66 - samples/sec: 11617.06 - lr: 0.100000
2023-04-05 11:33:37,265 epoch 14 - iter 84/280 - loss 0.06749817 - time (sec): 5.49 - samples/sec: 11710.48 - lr: 0.100000
2023-04-05 11:33:39,018 epoch 14 - iter 112/280 - loss 0.06813775 - time (sec): 7.25 - samples/sec: 11720.08 - lr: 0.100000
2023-04-05 11:33:40,814 epoch 14 - iter 140/280 - loss 0.06788856 - time (sec): 9.04 - samples/sec: 11699.16 - lr: 0.100000
2023-04-05 11:33:42,579 epoch 14 - iter 168/280 - loss 0.06731170 - time (sec): 10.81 - samples/sec: 11767.24 - lr: 0.100000
2023-04-05 11:33:44,381 epoch 14 - iter 196/280 - loss 0.06638080 - time (sec): 12.61 - samples/sec: 11750.60 - lr: 0.100000
2023-04-05 11:33:46,167 epoch 14 - iter 224/280 - loss 0.06650452 - time (sec): 14.39 - samples/sec: 11756.55 - lr: 0.100000
2023-04-05 11:33:47,990 epoch 14 - iter 252/280 - loss 0.06709942 - time (sec): 16.22 - samples/sec: 11752.33 - lr: 0.100000
2023-04-05 11:33:49,736 epoch 14 - iter 280/280 - loss 0.06682125 - time (sec): 17.96 - samples/sec: 11784.56 - lr: 0.100000
2023-04-05 11:33:49,736 ----------------------------------------------------------------------------------------------------
2023-04-05 11:33:49,736 EPOCH 14 done: loss 0.0668 - lr 0.100000
2023-04-05 11:33:49,736 BAD EPOCHS (no improvement): 0
2023-04-05 11:33:49,739 ----------------------------------------------------------------------------------------------------
2023-04-05 11:33:51,533 epoch 15 - iter 28/280 - loss 0.06164767 - time (sec): 1.79 - samples/sec: 11630.68 - lr: 0.100000
2023-04-05 11:33:53,314 epoch 15 - iter 56/280 - loss 0.06217384 - time (sec): 3.58 - samples/sec: 11862.10 - lr: 0.100000
2023-04-05 11:33:55,129 epoch 15 - iter 84/280 - loss 0.06421412 - time (sec): 5.39 - samples/sec: 11809.56 - lr: 0.100000
2023-04-05 11:33:56,965 epoch 15 - iter 112/280 - loss 0.06330052 - time (sec): 7.23 - samples/sec: 11802.89 - lr: 0.100000
2023-04-05 11:33:58,798 epoch 15 - iter 140/280 - loss 0.06302798 - time (sec): 9.06 - samples/sec: 11713.93 - lr: 0.100000
2023-04-05 11:34:00,606 epoch 15 - iter 168/280 - loss 0.06315935 - time (sec): 10.87 - samples/sec: 11696.09 - lr: 0.100000
2023-04-05 11:34:02,382 epoch 15 - iter 196/280 - loss 0.06322420 - time (sec): 12.64 - samples/sec: 11717.82 - lr: 0.100000
2023-04-05 11:34:04,205 epoch 15 - iter 224/280 - loss 0.06382788 - time (sec): 14.47 - samples/sec: 11713.74 - lr: 0.100000
2023-04-05 11:34:06,017 epoch 15 - iter 252/280 - loss 0.06386257 - time (sec): 16.28 - samples/sec: 11711.88 - lr: 0.100000
2023-04-05 11:34:07,788 epoch 15 - iter 280/280 - loss 0.06432687 - time (sec): 18.05 - samples/sec: 11728.90 - lr: 0.100000
2023-04-05 11:34:07,788 ----------------------------------------------------------------------------------------------------
2023-04-05 11:34:07,788 EPOCH 15 done: loss 0.0643 - lr 0.100000
2023-04-05 11:34:07,788 BAD EPOCHS (no improvement): 0
2023-04-05 11:34:07,791 ----------------------------------------------------------------------------------------------------
2023-04-05 11:34:09,596 epoch 16 - iter 28/280 - loss 0.06262701 - time (sec): 1.80 - samples/sec: 11828.01 - lr: 0.100000
2023-04-05 11:34:11,429 epoch 16 - iter 56/280 - loss 0.06408094 - time (sec): 3.64 - samples/sec: 11646.70 - lr: 0.100000
2023-04-05 11:34:13,212 epoch 16 - iter 84/280 - loss 0.06321444 - time (sec): 5.42 - samples/sec: 11726.49 - lr: 0.100000
2023-04-05 11:34:15,000 epoch 16 - iter 112/280 - loss 0.06311591 - time (sec): 7.21 - samples/sec: 11727.57 - lr: 0.100000
2023-04-05 11:34:16,796 epoch 16 - iter 140/280 - loss 0.06314014 - time (sec): 9.00 - samples/sec: 11800.46 - lr: 0.100000
2023-04-05 11:34:18,600 epoch 16 - iter 168/280 - loss 0.06342748 - time (sec): 10.81 - samples/sec: 11798.24 - lr: 0.100000
2023-04-05 11:34:20,375 epoch 16 - iter 196/280 - loss 0.06338833 - time (sec): 12.58 - samples/sec: 11844.19 - lr: 0.100000
2023-04-05 11:34:22,158 epoch 16 - iter 224/280 - loss 0.06271106 - time (sec): 14.37 - samples/sec: 11832.71 - lr: 0.100000
2023-04-05 11:34:23,943 epoch 16 - iter 252/280 - loss 0.06257842 - time (sec): 16.15 - samples/sec: 11825.27 - lr: 0.100000
2023-04-05 11:34:25,716 epoch 16 - iter 280/280 - loss 0.06212692 - time (sec): 17.93 - samples/sec: 11809.79 - lr: 0.100000
2023-04-05 11:34:25,717 ----------------------------------------------------------------------------------------------------
2023-04-05 11:34:25,717 EPOCH 16 done: loss 0.0621 - lr 0.100000
2023-04-05 11:34:25,717 BAD EPOCHS (no improvement): 0
2023-04-05 11:34:25,720 ----------------------------------------------------------------------------------------------------
2023-04-05 11:34:27,508 epoch 17 - iter 28/280 - loss 0.05288342 - time (sec): 1.79 - samples/sec: 11609.24 - lr: 0.100000
2023-04-05 11:34:29,286 epoch 17 - iter 56/280 - loss 0.05480018 - time (sec): 3.57 - samples/sec: 11868.54 - lr: 0.100000
2023-04-05 11:34:31,110 epoch 17 - iter 84/280 - loss 0.05705219 - time (sec): 5.39 - samples/sec: 11852.73 - lr: 0.100000
2023-04-05 11:34:33,001 epoch 17 - iter 112/280 - loss 0.05931561 - time (sec): 7.28 - samples/sec: 11726.22 - lr: 0.100000
2023-04-05 11:34:34,797 epoch 17 - iter 140/280 - loss 0.05948492 - time (sec): 9.08 - samples/sec: 11741.35 - lr: 0.100000
2023-04-05 11:34:36,620 epoch 17 - iter 168/280 - loss 0.05906552 - time (sec): 10.90 - samples/sec: 11687.50 - lr: 0.100000
2023-04-05 11:34:38,479 epoch 17 - iter 196/280 - loss 0.05925180 - time (sec): 12.76 - samples/sec: 11668.79 - lr: 0.100000
2023-04-05 11:34:40,227 epoch 17 - iter 224/280 - loss 0.05954558 - time (sec): 14.51 - samples/sec: 11691.53 - lr: 0.100000
2023-04-05 11:34:42,071 epoch 17 - iter 252/280 - loss 0.05948937 - time (sec): 16.35 - samples/sec: 11687.91 - lr: 0.100000
2023-04-05 11:34:43,825 epoch 17 - iter 280/280 - loss 0.05899674 - time (sec): 18.11 - samples/sec: 11692.31 - lr: 0.100000
2023-04-05 11:34:43,825 ----------------------------------------------------------------------------------------------------
2023-04-05 11:34:43,825 EPOCH 17 done: loss 0.0590 - lr 0.100000
2023-04-05 11:34:43,825 BAD EPOCHS (no improvement): 0
2023-04-05 11:34:43,828 ----------------------------------------------------------------------------------------------------
2023-04-05 11:34:45,643 epoch 18 - iter 28/280 - loss 0.05825112 - time (sec): 1.81 - samples/sec: 11393.99 - lr: 0.100000
2023-04-05 11:34:47,447 epoch 18 - iter 56/280 - loss 0.05855799 - time (sec): 3.62 - samples/sec: 11555.67 - lr: 0.100000
2023-04-05 11:34:49,212 epoch 18 - iter 84/280 - loss 0.05819408 - time (sec): 5.38 - samples/sec: 11687.96 - lr: 0.100000
2023-04-05 11:34:51,012 epoch 18 - iter 112/280 - loss 0.05842853 - time (sec): 7.18 - samples/sec: 11698.82 - lr: 0.100000
2023-04-05 11:34:52,817 epoch 18 - iter 140/280 - loss 0.05969303 - time (sec): 8.99 - samples/sec: 11733.02 - lr: 0.100000
2023-04-05 11:34:54,550 epoch 18 - iter 168/280 - loss 0.05938442 - time (sec): 10.72 - samples/sec: 11794.60 - lr: 0.100000
2023-04-05 11:34:56,337 epoch 18 - iter 196/280 - loss 0.05886669 - time (sec): 12.51 - samples/sec: 11803.83 - lr: 0.100000
2023-04-05 11:34:58,157 epoch 18 - iter 224/280 - loss 0.05813409 - time (sec): 14.33 - samples/sec: 11807.20 - lr: 0.100000
2023-04-05 11:35:00,015 epoch 18 - iter 252/280 - loss 0.05876983 - time (sec): 16.19 - samples/sec: 11774.36 - lr: 0.100000
2023-04-05 11:35:01,856 epoch 18 - iter 280/280 - loss 0.05829040 - time (sec): 18.03 - samples/sec: 11742.40 - lr: 0.100000
2023-04-05 11:35:01,856 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:01,856 EPOCH 18 done: loss 0.0583 - lr 0.100000
2023-04-05 11:35:01,856 BAD EPOCHS (no improvement): 0
2023-04-05 11:35:01,859 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:03,648 epoch 19 - iter 28/280 - loss 0.05283264 - time (sec): 1.79 - samples/sec: 11861.88 - lr: 0.100000
2023-04-05 11:35:05,399 epoch 19 - iter 56/280 - loss 0.05393442 - time (sec): 3.54 - samples/sec: 11919.42 - lr: 0.100000
2023-04-05 11:35:07,216 epoch 19 - iter 84/280 - loss 0.05440639 - time (sec): 5.36 - samples/sec: 11911.11 - lr: 0.100000
2023-04-05 11:35:09,008 epoch 19 - iter 112/280 - loss 0.05531663 - time (sec): 7.15 - samples/sec: 11909.93 - lr: 0.100000
2023-04-05 11:35:10,840 epoch 19 - iter 140/280 - loss 0.05565688 - time (sec): 8.98 - samples/sec: 11841.81 - lr: 0.100000
2023-04-05 11:35:12,599 epoch 19 - iter 168/280 - loss 0.05529086 - time (sec): 10.74 - samples/sec: 11830.34 - lr: 0.100000
2023-04-05 11:35:14,463 epoch 19 - iter 196/280 - loss 0.05545870 - time (sec): 12.60 - samples/sec: 11799.00 - lr: 0.100000
2023-04-05 11:35:16,261 epoch 19 - iter 224/280 - loss 0.05566567 - time (sec): 14.40 - samples/sec: 11790.06 - lr: 0.100000
2023-04-05 11:35:18,080 epoch 19 - iter 252/280 - loss 0.05539139 - time (sec): 16.22 - samples/sec: 11789.98 - lr: 0.100000
2023-04-05 11:35:19,860 epoch 19 - iter 280/280 - loss 0.05608728 - time (sec): 18.00 - samples/sec: 11759.72 - lr: 0.100000
2023-04-05 11:35:19,861 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:19,861 EPOCH 19 done: loss 0.0561 - lr 0.100000
2023-04-05 11:35:19,861 BAD EPOCHS (no improvement): 0
2023-04-05 11:35:19,863 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:21,682 epoch 20 - iter 28/280 - loss 0.05218948 - time (sec): 1.82 - samples/sec: 11864.34 - lr: 0.100000
2023-04-05 11:35:23,429 epoch 20 - iter 56/280 - loss 0.05439578 - time (sec): 3.57 - samples/sec: 11775.62 - lr: 0.100000
2023-04-05 11:35:25,252 epoch 20 - iter 84/280 - loss 0.05408566 - time (sec): 5.39 - samples/sec: 11811.45 - lr: 0.100000
2023-04-05 11:35:27,093 epoch 20 - iter 112/280 - loss 0.05399655 - time (sec): 7.23 - samples/sec: 11838.21 - lr: 0.100000
2023-04-05 11:35:28,853 epoch 20 - iter 140/280 - loss 0.05421216 - time (sec): 8.99 - samples/sec: 11840.90 - lr: 0.100000
2023-04-05 11:35:30,569 epoch 20 - iter 168/280 - loss 0.05381559 - time (sec): 10.71 - samples/sec: 11886.54 - lr: 0.100000
2023-04-05 11:35:32,406 epoch 20 - iter 196/280 - loss 0.05400375 - time (sec): 12.54 - samples/sec: 11866.18 - lr: 0.100000
2023-04-05 11:35:34,260 epoch 20 - iter 224/280 - loss 0.05410216 - time (sec): 14.40 - samples/sec: 11851.80 - lr: 0.100000
2023-04-05 11:35:36,025 epoch 20 - iter 252/280 - loss 0.05360529 - time (sec): 16.16 - samples/sec: 11823.32 - lr: 0.100000
2023-04-05 11:35:37,750 epoch 20 - iter 280/280 - loss 0.05352429 - time (sec): 17.89 - samples/sec: 11835.02 - lr: 0.100000
2023-04-05 11:35:37,751 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:37,751 EPOCH 20 done: loss 0.0535 - lr 0.100000
2023-04-05 11:35:37,751 BAD EPOCHS (no improvement): 0
2023-04-05 11:35:37,753 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:39,571 epoch 21 - iter 28/280 - loss 0.04843651 - time (sec): 1.82 - samples/sec: 11976.57 - lr: 0.100000
2023-04-05 11:35:41,349 epoch 21 - iter 56/280 - loss 0.05169687 - time (sec): 3.60 - samples/sec: 11948.84 - lr: 0.100000
2023-04-05 11:35:43,134 epoch 21 - iter 84/280 - loss 0.05002623 - time (sec): 5.38 - samples/sec: 11953.90 - lr: 0.100000
2023-04-05 11:35:44,933 epoch 21 - iter 112/280 - loss 0.05033864 - time (sec): 7.18 - samples/sec: 11975.88 - lr: 0.100000
2023-04-05 11:35:46,748 epoch 21 - iter 140/280 - loss 0.05125730 - time (sec): 8.99 - samples/sec: 11935.95 - lr: 0.100000
2023-04-05 11:35:48,512 epoch 21 - iter 168/280 - loss 0.05090290 - time (sec): 10.76 - samples/sec: 11926.32 - lr: 0.100000
2023-04-05 11:35:50,313 epoch 21 - iter 196/280 - loss 0.05134009 - time (sec): 12.56 - samples/sec: 11917.05 - lr: 0.100000
2023-04-05 11:35:52,116 epoch 21 - iter 224/280 - loss 0.05141356 - time (sec): 14.36 - samples/sec: 11898.55 - lr: 0.100000
2023-04-05 11:35:53,893 epoch 21 - iter 252/280 - loss 0.05179103 - time (sec): 16.14 - samples/sec: 11859.25 - lr: 0.100000
2023-04-05 11:35:55,614 epoch 21 - iter 280/280 - loss 0.05202194 - time (sec): 17.86 - samples/sec: 11852.58 - lr: 0.100000
2023-04-05 11:35:55,614 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:55,614 EPOCH 21 done: loss 0.0520 - lr 0.100000
2023-04-05 11:35:55,614 BAD EPOCHS (no improvement): 0
2023-04-05 11:35:55,617 ----------------------------------------------------------------------------------------------------
2023-04-05 11:35:57,426 epoch 22 - iter 28/280 - loss 0.05265036 - time (sec): 1.81 - samples/sec: 11809.34 - lr: 0.100000
2023-04-05 11:35:59,213 epoch 22 - iter 56/280 - loss 0.05228089 - time (sec): 3.60 - samples/sec: 11790.63 - lr: 0.100000
2023-04-05 11:36:00,990 epoch 22 - iter 84/280 - loss 0.05085628 - time (sec): 5.37 - samples/sec: 11832.29 - lr: 0.100000
2023-04-05 11:36:02,793 epoch 22 - iter 112/280 - loss 0.05016075 - time (sec): 7.18 - samples/sec: 11827.93 - lr: 0.100000
2023-04-05 11:36:04,557 epoch 22 - iter 140/280 - loss 0.05025752 - time (sec): 8.94 - samples/sec: 11881.74 - lr: 0.100000
2023-04-05 11:36:06,352 epoch 22 - iter 168/280 - loss 0.05001551 - time (sec): 10.73 - samples/sec: 11869.36 - lr: 0.100000
2023-04-05 11:36:08,162 epoch 22 - iter 196/280 - loss 0.05019254 - time (sec): 12.55 - samples/sec: 11875.55 - lr: 0.100000
2023-04-05 11:36:09,933 epoch 22 - iter 224/280 - loss 0.05035007 - time (sec): 14.32 - samples/sec: 11856.65 - lr: 0.100000
2023-04-05 11:36:11,752 epoch 22 - iter 252/280 - loss 0.04997119 - time (sec): 16.14 - samples/sec: 11859.88 - lr: 0.100000
2023-04-05 11:36:13,507 epoch 22 - iter 280/280 - loss 0.04996262 - time (sec): 17.89 - samples/sec: 11832.64 - lr: 0.100000
2023-04-05 11:36:13,508 ----------------------------------------------------------------------------------------------------
2023-04-05 11:36:13,508 EPOCH 22 done: loss 0.0500 - lr 0.100000
2023-04-05 11:36:13,508 BAD EPOCHS (no improvement): 0
2023-04-05 11:36:13,510 ----------------------------------------------------------------------------------------------------
2023-04-05 11:36:15,315 epoch 23 - iter 28/280 - loss 0.04413645 - time (sec): 1.80 - samples/sec: 12073.50 - lr: 0.100000
2023-04-05 11:36:17,041 epoch 23 - iter 56/280 - loss 0.04875877 - time (sec): 3.53 - samples/sec: 12101.00 - lr: 0.100000
2023-04-05 11:36:18,832 epoch 23 - iter 84/280 - loss 0.04898522 - time (sec): 5.32 - samples/sec: 12026.44 - lr: 0.100000
2023-04-05 11:36:20,638 epoch 23 - iter 112/280 - loss 0.04899564 - time (sec): 7.13 - samples/sec: 11926.44 - lr: 0.100000
2023-04-05 11:36:22,493 epoch 23 - iter 140/280 - loss 0.04896253 - time (sec): 8.98 - samples/sec: 11880.38 - lr: 0.100000
2023-04-05 11:36:24,290 epoch 23 - iter 168/280 - loss 0.04848346 - time (sec): 10.78 - samples/sec: 11869.02 - lr: 0.100000
2023-04-05 11:36:26,066 epoch 23 - iter 196/280 - loss 0.04878206 - time (sec): 12.56 - samples/sec: 11844.14 - lr: 0.100000
2023-04-05 11:36:27,870 epoch 23 - iter 224/280 - loss 0.04872234 - time (sec): 14.36 - samples/sec: 11856.29 - lr: 0.100000
2023-04-05 11:36:29,681 epoch 23 - iter 252/280 - loss 0.04921133 - time (sec): 16.17 - samples/sec: 11830.39 - lr: 0.100000
2023-04-05 11:36:31,462 epoch 23 - iter 280/280 - loss 0.04937451 - time (sec): 17.95 - samples/sec: 11792.19 - lr: 0.100000
2023-04-05 11:36:31,463 ----------------------------------------------------------------------------------------------------
2023-04-05 11:36:31,463 EPOCH 23 done: loss 0.0494 - lr 0.100000
2023-04-05 11:36:31,463 BAD EPOCHS (no improvement): 0
2023-04-05 11:36:31,465 ----------------------------------------------------------------------------------------------------
2023-04-05 11:36:33,286 epoch 24 - iter 28/280 - loss 0.04552134 - time (sec): 1.82 - samples/sec: 11836.10 - lr: 0.100000
2023-04-05 11:36:35,051 epoch 24 - iter 56/280 - loss 0.04245978 - time (sec): 3.59 - samples/sec: 11851.03 - lr: 0.100000
2023-04-05 11:36:36,883 epoch 24 - iter 84/280 - loss 0.04482955 - time (sec): 5.42 - samples/sec: 11776.35 - lr: 0.100000
2023-04-05 11:36:38,691 epoch 24 - iter 112/280 - loss 0.04568848 - time (sec): 7.23 - samples/sec: 11749.75 - lr: 0.100000
2023-04-05 11:36:40,537 epoch 24 - iter 140/280 - loss 0.04675023 - time (sec): 9.07 - samples/sec: 11723.74 - lr: 0.100000
2023-04-05 11:36:42,277 epoch 24 - iter 168/280 - loss 0.04727348 - time (sec): 10.81 - samples/sec: 11816.75 - lr: 0.100000
2023-04-05 11:36:44,027 epoch 24 - iter 196/280 - loss 0.04740621 - time (sec): 12.56 - samples/sec: 11812.06 - lr: 0.100000
2023-04-05 11:36:45,809 epoch 24 - iter 224/280 - loss 0.04746922 - time (sec): 14.34 - samples/sec: 11843.15 - lr: 0.100000
2023-04-05 11:36:47,572 epoch 24 - iter 252/280 - loss 0.04769287 - time (sec): 16.11 - samples/sec: 11853.42 - lr: 0.100000
2023-04-05 11:36:49,355 epoch 24 - iter 280/280 - loss 0.04779525 - time (sec): 17.89 - samples/sec: 11833.34 - lr: 0.100000
2023-04-05 11:36:49,355 ----------------------------------------------------------------------------------------------------
2023-04-05 11:36:49,355 EPOCH 24 done: loss 0.0478 - lr 0.100000
2023-04-05 11:36:49,355 BAD EPOCHS (no improvement): 0
2023-04-05 11:36:49,358 ----------------------------------------------------------------------------------------------------
2023-04-05 11:36:51,116 epoch 25 - iter 28/280 - loss 0.04124236 - time (sec): 1.76 - samples/sec: 11761.53 - lr: 0.100000
2023-04-05 11:36:52,887 epoch 25 - iter 56/280 - loss 0.04181873 - time (sec): 3.53 - samples/sec: 11813.75 - lr: 0.100000
2023-04-05 11:36:54,651 epoch 25 - iter 84/280 - loss 0.04423627 - time (sec): 5.29 - samples/sec: 11846.35 - lr: 0.100000
2023-04-05 11:36:56,478 epoch 25 - iter 112/280 - loss 0.04517841 - time (sec): 7.12 - samples/sec: 11790.36 - lr: 0.100000
2023-04-05 11:36:58,285 epoch 25 - iter 140/280 - loss 0.04565567 - time (sec): 8.93 - samples/sec: 11797.90 - lr: 0.100000
2023-04-05 11:37:00,043 epoch 25 - iter 168/280 - loss 0.04520782 - time (sec): 10.69 - samples/sec: 11844.63 - lr: 0.100000
2023-04-05 11:37:01,927 epoch 25 - iter 196/280 - loss 0.04512460 - time (sec): 12.57 - samples/sec: 11808.10 - lr: 0.100000
2023-04-05 11:37:03,756 epoch 25 - iter 224/280 - loss 0.04511967 - time (sec): 14.40 - samples/sec: 11777.13 - lr: 0.100000
2023-04-05 11:37:05,589 epoch 25 - iter 252/280 - loss 0.04524566 - time (sec): 16.23 - samples/sec: 11772.05 - lr: 0.100000
2023-04-05 11:37:07,335 epoch 25 - iter 280/280 - loss 0.04590508 - time (sec): 17.98 - samples/sec: 11775.74 - lr: 0.100000
2023-04-05 11:37:07,335 ----------------------------------------------------------------------------------------------------
2023-04-05 11:37:07,335 EPOCH 25 done: loss 0.0459 - lr 0.100000
2023-04-05 11:37:07,335 BAD EPOCHS (no improvement): 0
2023-04-05 11:37:07,338 ----------------------------------------------------------------------------------------------------
2023-04-05 11:37:09,132 epoch 26 - iter 28/280 - loss 0.04089327 - time (sec): 1.79 - samples/sec: 11935.93 - lr: 0.100000
2023-04-05 11:37:10,911 epoch 26 - iter 56/280 - loss 0.04435597 - time (sec): 3.57 - samples/sec: 11817.77 - lr: 0.100000
2023-04-05 11:37:12,717 epoch 26 - iter 84/280 - loss 0.04331287 - time (sec): 5.38 - samples/sec: 11709.68 - lr: 0.100000
2023-04-05 11:37:14,522 epoch 26 - iter 112/280 - loss 0.04340537 - time (sec): 7.18 - samples/sec: 11739.55 - lr: 0.100000
2023-04-05 11:37:16,273 epoch 26 - iter 140/280 - loss 0.04434313 - time (sec): 8.94 - samples/sec: 11756.57 - lr: 0.100000
2023-04-05 11:37:18,075 epoch 26 - iter 168/280 - loss 0.04410324 - time (sec): 10.74 - samples/sec: 11791.15 - lr: 0.100000
2023-04-05 11:37:19,845 epoch 26 - iter 196/280 - loss 0.04412420 - time (sec): 12.51 - samples/sec: 11819.23 - lr: 0.100000
2023-04-05 11:37:21,630 epoch 26 - iter 224/280 - loss 0.04430673 - time (sec): 14.29 - samples/sec: 11817.98 - lr: 0.100000
2023-04-05 11:37:23,436 epoch 26 - iter 252/280 - loss 0.04446632 - time (sec): 16.10 - samples/sec: 11821.47 - lr: 0.100000
2023-04-05 11:37:25,257 epoch 26 - iter 280/280 - loss 0.04501354 - time (sec): 17.92 - samples/sec: 11813.76 - lr: 0.100000
2023-04-05 11:37:25,257 ----------------------------------------------------------------------------------------------------
2023-04-05 11:37:25,257 EPOCH 26 done: loss 0.0450 - lr 0.100000
2023-04-05 11:37:25,257 BAD EPOCHS (no improvement): 0
2023-04-05 11:37:25,260 ----------------------------------------------------------------------------------------------------
2023-04-05 11:37:27,025 epoch 27 - iter 28/280 - loss 0.03851357 - time (sec): 1.77 - samples/sec: 12051.51 - lr: 0.100000
2023-04-05 11:37:28,838 epoch 27 - iter 56/280 - loss 0.04014540 - time (sec): 3.58 - samples/sec: 11914.90 - lr: 0.100000
2023-04-05 11:37:30,664 epoch 27 - iter 84/280 - loss 0.04133777 - time (sec): 5.40 - samples/sec: 11789.93 - lr: 0.100000
2023-04-05 11:37:32,408 epoch 27 - iter 112/280 - loss 0.04193196 - time (sec): 7.15 - samples/sec: 11846.44 - lr: 0.100000
2023-04-05 11:37:34,182 epoch 27 - iter 140/280 - loss 0.04183586 - time (sec): 8.92 - samples/sec: 11863.34 - lr: 0.100000
2023-04-05 11:37:35,977 epoch 27 - iter 168/280 - loss 0.04189724 - time (sec): 10.72 - samples/sec: 11884.31 - lr: 0.100000
2023-04-05 11:37:37,810 epoch 27 - iter 196/280 - loss 0.04244932 - time (sec): 12.55 - samples/sec: 11857.76 - lr: 0.100000
2023-04-05 11:37:39,646 epoch 27 - iter 224/280 - loss 0.04281068 - time (sec): 14.39 - samples/sec: 11790.05 - lr: 0.100000
2023-04-05 11:37:41,440 epoch 27 - iter 252/280 - loss 0.04280542 - time (sec): 16.18 - samples/sec: 11783.33 - lr: 0.100000
2023-04-05 11:37:43,228 epoch 27 - iter 280/280 - loss 0.04399544 - time (sec): 17.97 - samples/sec: 11781.91 - lr: 0.100000
2023-04-05 11:37:43,228 ----------------------------------------------------------------------------------------------------
2023-04-05 11:37:43,228 EPOCH 27 done: loss 0.0440 - lr 0.100000
2023-04-05 11:37:43,228 BAD EPOCHS (no improvement): 0
2023-04-05 11:37:43,231 ----------------------------------------------------------------------------------------------------
2023-04-05 11:37:45,052 epoch 28 - iter 28/280 - loss 0.03782082 - time (sec): 1.82 - samples/sec: 11549.39 - lr: 0.100000
2023-04-05 11:37:46,899 epoch 28 - iter 56/280 - loss 0.04120980 - time (sec): 3.67 - samples/sec: 11594.96 - lr: 0.100000
2023-04-05 11:37:48,678 epoch 28 - iter 84/280 - loss 0.04173927 - time (sec): 5.45 - samples/sec: 11658.57 - lr: 0.100000
2023-04-05 11:37:50,453 epoch 28 - iter 112/280 - loss 0.04021163 - time (sec): 7.22 - samples/sec: 11735.56 - lr: 0.100000
2023-04-05 11:37:52,317 epoch 28 - iter 140/280 - loss 0.04071840 - time (sec): 9.09 - samples/sec: 11737.51 - lr: 0.100000
2023-04-05 11:37:54,164 epoch 28 - iter 168/280 - loss 0.04090358 - time (sec): 10.93 - samples/sec: 11696.43 - lr: 0.100000
2023-04-05 11:37:55,996 epoch 28 - iter 196/280 - loss 0.04071248 - time (sec): 12.76 - samples/sec: 11732.91 - lr: 0.100000
2023-04-05 11:37:57,799 epoch 28 - iter 224/280 - loss 0.04154954 - time (sec): 14.57 - samples/sec: 11710.96 - lr: 0.100000
2023-04-05 11:37:59,572 epoch 28 - iter 252/280 - loss 0.04182913 - time (sec): 16.34 - samples/sec: 11703.81 - lr: 0.100000
2023-04-05 11:38:01,307 epoch 28 - iter 280/280 - loss 0.04174203 - time (sec): 18.08 - samples/sec: 11710.77 - lr: 0.100000
2023-04-05 11:38:01,308 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:01,308 EPOCH 28 done: loss 0.0417 - lr 0.100000
2023-04-05 11:38:01,308 BAD EPOCHS (no improvement): 0
2023-04-05 11:38:01,310 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:03,076 epoch 29 - iter 28/280 - loss 0.04221041 - time (sec): 1.77 - samples/sec: 11874.64 - lr: 0.100000
2023-04-05 11:38:04,896 epoch 29 - iter 56/280 - loss 0.04149599 - time (sec): 3.59 - samples/sec: 11866.19 - lr: 0.100000
2023-04-05 11:38:06,691 epoch 29 - iter 84/280 - loss 0.04060912 - time (sec): 5.38 - samples/sec: 11852.32 - lr: 0.100000
2023-04-05 11:38:08,518 epoch 29 - iter 112/280 - loss 0.04082735 - time (sec): 7.21 - samples/sec: 11806.45 - lr: 0.100000
2023-04-05 11:38:10,352 epoch 29 - iter 140/280 - loss 0.04116983 - time (sec): 9.04 - samples/sec: 11777.70 - lr: 0.100000
2023-04-05 11:38:12,130 epoch 29 - iter 168/280 - loss 0.04118497 - time (sec): 10.82 - samples/sec: 11814.34 - lr: 0.100000
2023-04-05 11:38:13,976 epoch 29 - iter 196/280 - loss 0.04185893 - time (sec): 12.67 - samples/sec: 11780.51 - lr: 0.100000
2023-04-05 11:38:15,759 epoch 29 - iter 224/280 - loss 0.04171785 - time (sec): 14.45 - samples/sec: 11783.56 - lr: 0.100000
2023-04-05 11:38:17,560 epoch 29 - iter 252/280 - loss 0.04155907 - time (sec): 16.25 - samples/sec: 11768.06 - lr: 0.100000
2023-04-05 11:38:19,319 epoch 29 - iter 280/280 - loss 0.04183624 - time (sec): 18.01 - samples/sec: 11754.88 - lr: 0.100000
2023-04-05 11:38:19,319 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:19,320 EPOCH 29 done: loss 0.0418 - lr 0.100000
2023-04-05 11:38:19,320 BAD EPOCHS (no improvement): 1
2023-04-05 11:38:19,322 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:21,198 epoch 30 - iter 28/280 - loss 0.03779117 - time (sec): 1.88 - samples/sec: 11594.86 - lr: 0.100000
2023-04-05 11:38:23,011 epoch 30 - iter 56/280 - loss 0.03672050 - time (sec): 3.69 - samples/sec: 11721.53 - lr: 0.100000
2023-04-05 11:38:24,808 epoch 30 - iter 84/280 - loss 0.03610688 - time (sec): 5.49 - samples/sec: 11732.88 - lr: 0.100000
2023-04-05 11:38:26,627 epoch 30 - iter 112/280 - loss 0.03689068 - time (sec): 7.30 - samples/sec: 11662.28 - lr: 0.100000
2023-04-05 11:38:28,391 epoch 30 - iter 140/280 - loss 0.03771745 - time (sec): 9.07 - samples/sec: 11707.12 - lr: 0.100000
2023-04-05 11:38:30,250 epoch 30 - iter 168/280 - loss 0.03810714 - time (sec): 10.93 - samples/sec: 11690.48 - lr: 0.100000
2023-04-05 11:38:32,026 epoch 30 - iter 196/280 - loss 0.03878411 - time (sec): 12.70 - samples/sec: 11698.03 - lr: 0.100000
2023-04-05 11:38:33,775 epoch 30 - iter 224/280 - loss 0.03871405 - time (sec): 14.45 - samples/sec: 11689.34 - lr: 0.100000
2023-04-05 11:38:35,555 epoch 30 - iter 252/280 - loss 0.03891072 - time (sec): 16.23 - samples/sec: 11723.14 - lr: 0.100000
2023-04-05 11:38:37,407 epoch 30 - iter 280/280 - loss 0.03988472 - time (sec): 18.08 - samples/sec: 11705.56 - lr: 0.100000
2023-04-05 11:38:37,407 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:37,407 EPOCH 30 done: loss 0.0399 - lr 0.100000
2023-04-05 11:38:37,407 BAD EPOCHS (no improvement): 0
2023-04-05 11:38:37,410 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:39,189 epoch 31 - iter 28/280 - loss 0.03808612 - time (sec): 1.78 - samples/sec: 11713.27 - lr: 0.100000
2023-04-05 11:38:40,986 epoch 31 - iter 56/280 - loss 0.03951726 - time (sec): 3.58 - samples/sec: 11768.47 - lr: 0.100000
2023-04-05 11:38:42,789 epoch 31 - iter 84/280 - loss 0.03882489 - time (sec): 5.38 - samples/sec: 11759.99 - lr: 0.100000
2023-04-05 11:38:44,634 epoch 31 - iter 112/280 - loss 0.03841884 - time (sec): 7.22 - samples/sec: 11719.98 - lr: 0.100000
2023-04-05 11:38:46,458 epoch 31 - iter 140/280 - loss 0.03871293 - time (sec): 9.05 - samples/sec: 11726.56 - lr: 0.100000
2023-04-05 11:38:48,240 epoch 31 - iter 168/280 - loss 0.03824375 - time (sec): 10.83 - samples/sec: 11741.80 - lr: 0.100000
2023-04-05 11:38:50,051 epoch 31 - iter 196/280 - loss 0.03852520 - time (sec): 12.64 - samples/sec: 11731.73 - lr: 0.100000
2023-04-05 11:38:51,894 epoch 31 - iter 224/280 - loss 0.03860727 - time (sec): 14.48 - samples/sec: 11745.08 - lr: 0.100000
2023-04-05 11:38:53,696 epoch 31 - iter 252/280 - loss 0.03860575 - time (sec): 16.29 - samples/sec: 11752.51 - lr: 0.100000
2023-04-05 11:38:55,401 epoch 31 - iter 280/280 - loss 0.03881480 - time (sec): 17.99 - samples/sec: 11766.56 - lr: 0.100000
2023-04-05 11:38:55,402 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:55,402 EPOCH 31 done: loss 0.0388 - lr 0.100000
2023-04-05 11:38:55,402 BAD EPOCHS (no improvement): 0
2023-04-05 11:38:55,405 ----------------------------------------------------------------------------------------------------
2023-04-05 11:38:57,211 epoch 32 - iter 28/280 - loss 0.03945079 - time (sec): 1.81 - samples/sec: 11607.57 - lr: 0.100000
2023-04-05 11:38:59,049 epoch 32 - iter 56/280 - loss 0.03949573 - time (sec): 3.64 - samples/sec: 11526.26 - lr: 0.100000
2023-04-05 11:39:00,902 epoch 32 - iter 84/280 - loss 0.03816195 - time (sec): 5.50 - samples/sec: 11484.70 - lr: 0.100000
2023-04-05 11:39:02,761 epoch 32 - iter 112/280 - loss 0.03736938 - time (sec): 7.36 - samples/sec: 11435.90 - lr: 0.100000
2023-04-05 11:39:04,649 epoch 32 - iter 140/280 - loss 0.03739442 - time (sec): 9.24 - samples/sec: 11448.83 - lr: 0.100000
2023-04-05 11:39:06,460 epoch 32 - iter 168/280 - loss 0.03769359 - time (sec): 11.06 - samples/sec: 11460.45 - lr: 0.100000
2023-04-05 11:39:08,292 epoch 32 - iter 196/280 - loss 0.03894570 - time (sec): 12.89 - samples/sec: 11468.50 - lr: 0.100000
2023-04-05 11:39:10,081 epoch 32 - iter 224/280 - loss 0.03866787 - time (sec): 14.68 - samples/sec: 11536.25 - lr: 0.100000
2023-04-05 11:39:11,946 epoch 32 - iter 252/280 - loss 0.03846310 - time (sec): 16.54 - samples/sec: 11559.07 - lr: 0.100000
2023-04-05 11:39:13,705 epoch 32 - iter 280/280 - loss 0.03827095 - time (sec): 18.30 - samples/sec: 11567.44 - lr: 0.100000
2023-04-05 11:39:13,706 ----------------------------------------------------------------------------------------------------
2023-04-05 11:39:13,706 EPOCH 32 done: loss 0.0383 - lr 0.100000
2023-04-05 11:39:13,706 BAD EPOCHS (no improvement): 0
2023-04-05 11:39:13,711 ----------------------------------------------------------------------------------------------------
2023-04-05 11:39:15,506 epoch 33 - iter 28/280 - loss 0.03470166 - time (sec): 1.80 - samples/sec: 11891.82 - lr: 0.100000
2023-04-05 11:39:17,347 epoch 33 - iter 56/280 - loss 0.03871269 - time (sec): 3.64 - samples/sec: 11764.20 - lr: 0.100000
2023-04-05 11:39:19,149 epoch 33 - iter 84/280 - loss 0.03902470 - time (sec): 5.44 - samples/sec: 11845.71 - lr: 0.100000
2023-04-05 11:39:20,974 epoch 33 - iter 112/280 - loss 0.03725963 - time (sec): 7.26 - samples/sec: 11817.48 - lr: 0.100000
2023-04-05 11:39:22,800 epoch 33 - iter 140/280 - loss 0.03723502 - time (sec): 9.09 - samples/sec: 11800.84 - lr: 0.100000
2023-04-05 11:39:24,589 epoch 33 - iter 168/280 - loss 0.03721689 - time (sec): 10.88 - samples/sec: 11781.01 - lr: 0.100000
2023-04-05 11:39:26,406 epoch 33 - iter 196/280 - loss 0.03801672 - time (sec): 12.70 - samples/sec: 11770.68 - lr: 0.100000
2023-04-05 11:39:28,199 epoch 33 - iter 224/280 - loss 0.03776562 - time (sec): 14.49 - samples/sec: 11736.76 - lr: 0.100000
2023-04-05 11:39:29,975 epoch 33 - iter 252/280 - loss 0.03802663 - time (sec): 16.26 - samples/sec: 11734.95 - lr: 0.100000
2023-04-05 11:39:31,811 epoch 33 - iter 280/280 - loss 0.03831009 - time (sec): 18.10 - samples/sec: 11696.04 - lr: 0.100000
2023-04-05 11:39:31,811 ----------------------------------------------------------------------------------------------------
2023-04-05 11:39:31,811 EPOCH 33 done: loss 0.0383 - lr 0.100000
2023-04-05 11:39:31,811 BAD EPOCHS (no improvement): 1
2023-04-05 11:39:31,814 ----------------------------------------------------------------------------------------------------
2023-04-05 11:39:33,627 epoch 34 - iter 28/280 - loss 0.03620962 - time (sec): 1.81 - samples/sec: 11603.36 - lr: 0.100000
2023-04-05 11:39:35,513 epoch 34 - iter 56/280 - loss 0.03513302 - time (sec): 3.70 - samples/sec: 11433.87 - lr: 0.100000
2023-04-05 11:39:37,359 epoch 34 - iter 84/280 - loss 0.03536669 - time (sec): 5.55 - samples/sec: 11446.28 - lr: 0.100000
2023-04-05 11:39:39,180 epoch 34 - iter 112/280 - loss 0.03499080 - time (sec): 7.37 - samples/sec: 11483.59 - lr: 0.100000
2023-04-05 11:39:41,027 epoch 34 - iter 140/280 - loss 0.03522558 - time (sec): 9.21 - samples/sec: 11487.75 - lr: 0.100000
2023-04-05 11:39:42,870 epoch 34 - iter 168/280 - loss 0.03490538 - time (sec): 11.06 - samples/sec: 11475.42 - lr: 0.100000
2023-04-05 11:39:44,748 epoch 34 - iter 196/280 - loss 0.03561561 - time (sec): 12.93 - samples/sec: 11478.01 - lr: 0.100000
2023-04-05 11:39:46,578 epoch 34 - iter 224/280 - loss 0.03601340 - time (sec): 14.76 - samples/sec: 11481.38 - lr: 0.100000
2023-04-05 11:39:48,401 epoch 34 - iter 252/280 - loss 0.03618573 - time (sec): 16.59 - samples/sec: 11498.93 - lr: 0.100000
2023-04-05 11:39:50,175 epoch 34 - iter 280/280 - loss 0.03598665 - time (sec): 18.36 - samples/sec: 11529.49 - lr: 0.100000
2023-04-05 11:39:50,175 ----------------------------------------------------------------------------------------------------
2023-04-05 11:39:50,175 EPOCH 34 done: loss 0.0360 - lr 0.100000
2023-04-05 11:39:50,175 BAD EPOCHS (no improvement): 0
2023-04-05 11:39:50,178 ----------------------------------------------------------------------------------------------------
2023-04-05 11:39:52,001 epoch 35 - iter 28/280 - loss 0.03397965 - time (sec): 1.82 - samples/sec: 11880.73 - lr: 0.100000
2023-04-05 11:39:53,871 epoch 35 - iter 56/280 - loss 0.03403821 - time (sec): 3.69 - samples/sec: 11604.62 - lr: 0.100000
2023-04-05 11:39:55,714 epoch 35 - iter 84/280 - loss 0.03543108 - time (sec): 5.54 - samples/sec: 11550.94 - lr: 0.100000
2023-04-05 11:39:57,476 epoch 35 - iter 112/280 - loss 0.03645667 - time (sec): 7.30 - samples/sec: 11612.08 - lr: 0.100000
2023-04-05 11:40:00,675 epoch 35 - iter 140/280 - loss 0.03658092 - time (sec): 10.50 - samples/sec: 10120.05 - lr: 0.100000
2023-04-05 11:40:02,447 epoch 35 - iter 168/280 - loss 0.03659507 - time (sec): 12.27 - samples/sec: 10348.01 - lr: 0.100000
2023-04-05 11:40:04,244 epoch 35 - iter 196/280 - loss 0.03646809 - time (sec): 14.07 - samples/sec: 10573.14 - lr: 0.100000
2023-04-05 11:40:06,078 epoch 35 - iter 224/280 - loss 0.03662898 - time (sec): 15.90 - samples/sec: 10707.60 - lr: 0.100000
2023-04-05 11:40:07,909 epoch 35 - iter 252/280 - loss 0.03633694 - time (sec): 17.73 - samples/sec: 10804.47 - lr: 0.100000
2023-04-05 11:40:09,582 epoch 35 - iter 280/280 - loss 0.03636577 - time (sec): 19.40 - samples/sec: 10909.83 - lr: 0.100000
2023-04-05 11:40:09,582 ----------------------------------------------------------------------------------------------------
2023-04-05 11:40:09,582 EPOCH 35 done: loss 0.0364 - lr 0.100000
2023-04-05 11:40:09,582 BAD EPOCHS (no improvement): 1
2023-04-05 11:40:09,585 ----------------------------------------------------------------------------------------------------
2023-04-05 11:40:11,364 epoch 36 - iter 28/280 - loss 0.03712210 - time (sec): 1.78 - samples/sec: 11737.86 - lr: 0.100000
2023-04-05 11:40:13,181 epoch 36 - iter 56/280 - loss 0.03619270 - time (sec): 3.60 - samples/sec: 11743.46 - lr: 0.100000
2023-04-05 11:40:15,010 epoch 36 - iter 84/280 - loss 0.03484479 - time (sec): 5.43 - samples/sec: 11766.34 - lr: 0.100000
2023-04-05 11:40:16,861 epoch 36 - iter 112/280 - loss 0.03427536 - time (sec): 7.28 - samples/sec: 11707.46 - lr: 0.100000
2023-04-05 11:40:18,638 epoch 36 - iter 140/280 - loss 0.03509265 - time (sec): 9.05 - samples/sec: 11718.62 - lr: 0.100000
2023-04-05 11:40:20,450 epoch 36 - iter 168/280 - loss 0.03530102 - time (sec): 10.86 - samples/sec: 11719.62 - lr: 0.100000
2023-04-05 11:40:22,286 epoch 36 - iter 196/280 - loss 0.03531748 - time (sec): 12.70 - samples/sec: 11740.50 - lr: 0.100000
2023-04-05 11:40:24,112 epoch 36 - iter 224/280 - loss 0.03480613 - time (sec): 14.53 - samples/sec: 11705.97 - lr: 0.100000
2023-04-05 11:40:25,885 epoch 36 - iter 252/280 - loss 0.03473059 - time (sec): 16.30 - samples/sec: 11739.57 - lr: 0.100000
2023-04-05 11:40:27,616 epoch 36 - iter 280/280 - loss 0.03488935 - time (sec): 18.03 - samples/sec: 11740.50 - lr: 0.100000
2023-04-05 11:40:27,616 ----------------------------------------------------------------------------------------------------
2023-04-05 11:40:27,616 EPOCH 36 done: loss 0.0349 - lr 0.100000
2023-04-05 11:40:27,617 BAD EPOCHS (no improvement): 0
2023-04-05 11:40:27,619 ----------------------------------------------------------------------------------------------------
2023-04-05 11:40:29,394 epoch 37 - iter 28/280 - loss 0.03492849 - time (sec): 1.77 - samples/sec: 11767.27 - lr: 0.100000
2023-04-05 11:40:31,178 epoch 37 - iter 56/280 - loss 0.03533917 - time (sec): 3.56 - samples/sec: 11780.53 - lr: 0.100000
2023-04-05 11:40:32,938 epoch 37 - iter 84/280 - loss 0.03550122 - time (sec): 5.32 - samples/sec: 11868.57 - lr: 0.100000
2023-04-05 11:40:34,740 epoch 37 - iter 112/280 - loss 0.03508579 - time (sec): 7.12 - samples/sec: 11885.04 - lr: 0.100000
2023-04-05 11:40:36,570 epoch 37 - iter 140/280 - loss 0.03527674 - time (sec): 8.95 - samples/sec: 11892.16 - lr: 0.100000
2023-04-05 11:40:38,341 epoch 37 - iter 168/280 - loss 0.03503908 - time (sec): 10.72 - samples/sec: 11862.46 - lr: 0.100000
2023-04-05 11:40:40,125 epoch 37 - iter 196/280 - loss 0.03501984 - time (sec): 12.51 - samples/sec: 11897.99 - lr: 0.100000
2023-04-05 11:40:41,952 epoch 37 - iter 224/280 - loss 0.03484890 - time (sec): 14.33 - samples/sec: 11864.14 - lr: 0.100000
2023-04-05 11:40:43,789 epoch 37 - iter 252/280 - loss 0.03482832 - time (sec): 16.17 - samples/sec: 11817.38 - lr: 0.100000
2023-04-05 11:40:45,557 epoch 37 - iter 280/280 - loss 0.03452807 - time (sec): 17.94 - samples/sec: 11801.10 - lr: 0.100000
2023-04-05 11:40:45,557 ----------------------------------------------------------------------------------------------------
2023-04-05 11:40:45,557 EPOCH 37 done: loss 0.0345 - lr 0.100000
2023-04-05 11:40:45,557 BAD EPOCHS (no improvement): 0
2023-04-05 11:40:45,560 ----------------------------------------------------------------------------------------------------
2023-04-05 11:40:47,406 epoch 38 - iter 28/280 - loss 0.02924971 - time (sec): 1.85 - samples/sec: 11611.39 - lr: 0.100000
2023-04-05 11:40:49,219 epoch 38 - iter 56/280 - loss 0.03094036 - time (sec): 3.66 - samples/sec: 11604.83 - lr: 0.100000
2023-04-05 11:40:50,991 epoch 38 - iter 84/280 - loss 0.03150412 - time (sec): 5.43 - samples/sec: 11644.00 - lr: 0.100000
2023-04-05 11:40:52,762 epoch 38 - iter 112/280 - loss 0.03200344 - time (sec): 7.20 - samples/sec: 11697.88 - lr: 0.100000
2023-04-05 11:40:54,595 epoch 38 - iter 140/280 - loss 0.03235991 - time (sec): 9.04 - samples/sec: 11660.33 - lr: 0.100000
2023-04-05 11:40:56,427 epoch 38 - iter 168/280 - loss 0.03299630 - time (sec): 10.87 - samples/sec: 11703.53 - lr: 0.100000
2023-04-05 11:40:58,210 epoch 38 - iter 196/280 - loss 0.03320721 - time (sec): 12.65 - samples/sec: 11748.67 - lr: 0.100000
2023-04-05 11:40:59,979 epoch 38 - iter 224/280 - loss 0.03320812 - time (sec): 14.42 - samples/sec: 11769.27 - lr: 0.100000
2023-04-05 11:41:01,826 epoch 38 - iter 252/280 - loss 0.03377228 - time (sec): 16.27 - samples/sec: 11758.88 - lr: 0.100000
2023-04-05 11:41:03,578 epoch 38 - iter 280/280 - loss 0.03376645 - time (sec): 18.02 - samples/sec: 11748.69 - lr: 0.100000
2023-04-05 11:41:03,579 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:03,579 EPOCH 38 done: loss 0.0338 - lr 0.100000
2023-04-05 11:41:03,579 BAD EPOCHS (no improvement): 0
2023-04-05 11:41:03,581 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:05,387 epoch 39 - iter 28/280 - loss 0.03031979 - time (sec): 1.81 - samples/sec: 11728.83 - lr: 0.100000
2023-04-05 11:41:07,231 epoch 39 - iter 56/280 - loss 0.02972548 - time (sec): 3.65 - samples/sec: 11672.13 - lr: 0.100000
2023-04-05 11:41:09,037 epoch 39 - iter 84/280 - loss 0.03052992 - time (sec): 5.46 - samples/sec: 11787.83 - lr: 0.100000
2023-04-05 11:41:10,831 epoch 39 - iter 112/280 - loss 0.03130694 - time (sec): 7.25 - samples/sec: 11794.77 - lr: 0.100000
2023-04-05 11:41:12,615 epoch 39 - iter 140/280 - loss 0.03137877 - time (sec): 9.03 - samples/sec: 11794.71 - lr: 0.100000
2023-04-05 11:41:14,382 epoch 39 - iter 168/280 - loss 0.03151465 - time (sec): 10.80 - samples/sec: 11804.13 - lr: 0.100000
2023-04-05 11:41:16,168 epoch 39 - iter 196/280 - loss 0.03181991 - time (sec): 12.59 - samples/sec: 11817.23 - lr: 0.100000
2023-04-05 11:41:17,936 epoch 39 - iter 224/280 - loss 0.03256943 - time (sec): 14.35 - samples/sec: 11837.75 - lr: 0.100000
2023-04-05 11:41:19,715 epoch 39 - iter 252/280 - loss 0.03243855 - time (sec): 16.13 - samples/sec: 11838.64 - lr: 0.100000
2023-04-05 11:41:21,472 epoch 39 - iter 280/280 - loss 0.03261390 - time (sec): 17.89 - samples/sec: 11832.89 - lr: 0.100000
2023-04-05 11:41:21,472 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:21,472 EPOCH 39 done: loss 0.0326 - lr 0.100000
2023-04-05 11:41:21,472 BAD EPOCHS (no improvement): 0
2023-04-05 11:41:21,475 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:23,315 epoch 40 - iter 28/280 - loss 0.03397579 - time (sec): 1.84 - samples/sec: 11546.81 - lr: 0.100000
2023-04-05 11:41:25,119 epoch 40 - iter 56/280 - loss 0.03076253 - time (sec): 3.64 - samples/sec: 11691.29 - lr: 0.100000
2023-04-05 11:41:26,945 epoch 40 - iter 84/280 - loss 0.03167224 - time (sec): 5.47 - samples/sec: 11712.08 - lr: 0.100000
2023-04-05 11:41:28,773 epoch 40 - iter 112/280 - loss 0.03213338 - time (sec): 7.30 - samples/sec: 11699.56 - lr: 0.100000
2023-04-05 11:41:30,596 epoch 40 - iter 140/280 - loss 0.03252726 - time (sec): 9.12 - samples/sec: 11672.06 - lr: 0.100000
2023-04-05 11:41:32,379 epoch 40 - iter 168/280 - loss 0.03257365 - time (sec): 10.90 - samples/sec: 11710.12 - lr: 0.100000
2023-04-05 11:41:34,181 epoch 40 - iter 196/280 - loss 0.03206865 - time (sec): 12.71 - samples/sec: 11706.58 - lr: 0.100000
2023-04-05 11:41:35,995 epoch 40 - iter 224/280 - loss 0.03212630 - time (sec): 14.52 - samples/sec: 11724.25 - lr: 0.100000
2023-04-05 11:41:37,779 epoch 40 - iter 252/280 - loss 0.03168467 - time (sec): 16.30 - samples/sec: 11717.51 - lr: 0.100000
2023-04-05 11:41:39,526 epoch 40 - iter 280/280 - loss 0.03170537 - time (sec): 18.05 - samples/sec: 11727.64 - lr: 0.100000
2023-04-05 11:41:39,526 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:39,526 EPOCH 40 done: loss 0.0317 - lr 0.100000
2023-04-05 11:41:39,526 BAD EPOCHS (no improvement): 0
2023-04-05 11:41:39,529 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:41,335 epoch 41 - iter 28/280 - loss 0.03169512 - time (sec): 1.81 - samples/sec: 11598.46 - lr: 0.100000
2023-04-05 11:41:43,098 epoch 41 - iter 56/280 - loss 0.02987874 - time (sec): 3.57 - samples/sec: 11810.77 - lr: 0.100000
2023-04-05 11:41:44,865 epoch 41 - iter 84/280 - loss 0.03034049 - time (sec): 5.34 - samples/sec: 11813.64 - lr: 0.100000
2023-04-05 11:41:46,692 epoch 41 - iter 112/280 - loss 0.03132979 - time (sec): 7.16 - samples/sec: 11779.38 - lr: 0.100000
2023-04-05 11:41:48,455 epoch 41 - iter 140/280 - loss 0.03185747 - time (sec): 8.93 - samples/sec: 11816.74 - lr: 0.100000
2023-04-05 11:41:50,213 epoch 41 - iter 168/280 - loss 0.03162195 - time (sec): 10.68 - samples/sec: 11890.39 - lr: 0.100000
2023-04-05 11:41:52,007 epoch 41 - iter 196/280 - loss 0.03175273 - time (sec): 12.48 - samples/sec: 11888.61 - lr: 0.100000
2023-04-05 11:41:53,812 epoch 41 - iter 224/280 - loss 0.03205507 - time (sec): 14.28 - samples/sec: 11896.56 - lr: 0.100000
2023-04-05 11:41:55,647 epoch 41 - iter 252/280 - loss 0.03203207 - time (sec): 16.12 - samples/sec: 11878.15 - lr: 0.100000
2023-04-05 11:41:57,387 epoch 41 - iter 280/280 - loss 0.03188554 - time (sec): 17.86 - samples/sec: 11854.14 - lr: 0.100000
2023-04-05 11:41:57,388 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:57,388 EPOCH 41 done: loss 0.0319 - lr 0.100000
2023-04-05 11:41:57,388 BAD EPOCHS (no improvement): 1
2023-04-05 11:41:57,390 ----------------------------------------------------------------------------------------------------
2023-04-05 11:41:59,142 epoch 42 - iter 28/280 - loss 0.03157143 - time (sec): 1.75 - samples/sec: 11974.81 - lr: 0.100000
2023-04-05 11:42:00,913 epoch 42 - iter 56/280 - loss 0.03096020 - time (sec): 3.52 - samples/sec: 11857.82 - lr: 0.100000
2023-04-05 11:42:02,712 epoch 42 - iter 84/280 - loss 0.02972157 - time (sec): 5.32 - samples/sec: 11865.20 - lr: 0.100000
2023-04-05 11:42:04,600 epoch 42 - iter 112/280 - loss 0.02970780 - time (sec): 7.21 - samples/sec: 11771.44 - lr: 0.100000
2023-04-05 11:42:06,417 epoch 42 - iter 140/280 - loss 0.02974788 - time (sec): 9.03 - samples/sec: 11741.13 - lr: 0.100000
2023-04-05 11:42:08,270 epoch 42 - iter 168/280 - loss 0.03005308 - time (sec): 10.88 - samples/sec: 11736.30 - lr: 0.100000
2023-04-05 11:42:10,041 epoch 42 - iter 196/280 - loss 0.03029969 - time (sec): 12.65 - samples/sec: 11748.92 - lr: 0.100000
2023-04-05 11:42:11,771 epoch 42 - iter 224/280 - loss 0.03050950 - time (sec): 14.38 - samples/sec: 11790.59 - lr: 0.100000
2023-04-05 11:42:13,609 epoch 42 - iter 252/280 - loss 0.03047451 - time (sec): 16.22 - samples/sec: 11754.92 - lr: 0.100000
2023-04-05 11:42:15,413 epoch 42 - iter 280/280 - loss 0.03062606 - time (sec): 18.02 - samples/sec: 11745.72 - lr: 0.100000
2023-04-05 11:42:15,413 ----------------------------------------------------------------------------------------------------
2023-04-05 11:42:15,413 EPOCH 42 done: loss 0.0306 - lr 0.100000
2023-04-05 11:42:15,413 BAD EPOCHS (no improvement): 0
2023-04-05 11:42:15,416 ----------------------------------------------------------------------------------------------------
2023-04-05 11:42:17,201 epoch 43 - iter 28/280 - loss 0.02888818 - time (sec): 1.78 - samples/sec: 11822.28 - lr: 0.100000
2023-04-05 11:42:18,957 epoch 43 - iter 56/280 - loss 0.03051591 - time (sec): 3.54 - samples/sec: 11887.82 - lr: 0.100000
2023-04-05 11:42:20,742 epoch 43 - iter 84/280 - loss 0.03089329 - time (sec): 5.33 - samples/sec: 11842.28 - lr: 0.100000
2023-04-05 11:42:22,543 epoch 43 - iter 112/280 - loss 0.03001506 - time (sec): 7.13 - samples/sec: 11793.84 - lr: 0.100000
2023-04-05 11:42:24,357 epoch 43 - iter 140/280 - loss 0.03062371 - time (sec): 8.94 - samples/sec: 11794.48 - lr: 0.100000
2023-04-05 11:42:26,161 epoch 43 - iter 168/280 - loss 0.03061882 - time (sec): 10.74 - samples/sec: 11826.85 - lr: 0.100000
2023-04-05 11:42:27,938 epoch 43 - iter 196/280 - loss 0.03063456 - time (sec): 12.52 - samples/sec: 11844.31 - lr: 0.100000
2023-04-05 11:42:29,743 epoch 43 - iter 224/280 - loss 0.03074782 - time (sec): 14.33 - samples/sec: 11847.45 - lr: 0.100000
2023-04-05 11:42:31,503 epoch 43 - iter 252/280 - loss 0.03092329 - time (sec): 16.09 - samples/sec: 11832.74 - lr: 0.100000
2023-04-05 11:42:33,328 epoch 43 - iter 280/280 - loss 0.03123207 - time (sec): 17.91 - samples/sec: 11818.61 - lr: 0.100000
2023-04-05 11:42:33,328 ----------------------------------------------------------------------------------------------------
2023-04-05 11:42:33,328 EPOCH 43 done: loss 0.0312 - lr 0.100000
2023-04-05 11:42:33,328 BAD EPOCHS (no improvement): 1
2023-04-05 11:42:33,331 ----------------------------------------------------------------------------------------------------
2023-04-05 11:42:35,147 epoch 44 - iter 28/280 - loss 0.03121475 - time (sec): 1.82 - samples/sec: 11716.67 - lr: 0.100000
2023-04-05 11:42:36,939 epoch 44 - iter 56/280 - loss 0.02878473 - time (sec): 3.61 - samples/sec: 11672.15 - lr: 0.100000
2023-04-05 11:42:38,779 epoch 44 - iter 84/280 - loss 0.02950205 - time (sec): 5.45 - samples/sec: 11656.66 - lr: 0.100000
2023-04-05 11:42:40,600 epoch 44 - iter 112/280 - loss 0.02907250 - time (sec): 7.27 - samples/sec: 11638.75 - lr: 0.100000
2023-04-05 11:42:42,391 epoch 44 - iter 140/280 - loss 0.02904973 - time (sec): 9.06 - samples/sec: 11665.38 - lr: 0.100000
2023-04-05 11:42:44,256 epoch 44 - iter 168/280 - loss 0.02978426 - time (sec): 10.92 - samples/sec: 11662.02 - lr: 0.100000
2023-04-05 11:42:46,011 epoch 44 - iter 196/280 - loss 0.02983154 - time (sec): 12.68 - samples/sec: 11701.67 - lr: 0.100000
2023-04-05 11:42:47,816 epoch 44 - iter 224/280 - loss 0.03043928 - time (sec): 14.48 - samples/sec: 11703.66 - lr: 0.100000
2023-04-05 11:42:49,641 epoch 44 - iter 252/280 - loss 0.03049655 - time (sec): 16.31 - samples/sec: 11698.92 - lr: 0.100000
2023-04-05 11:42:51,431 epoch 44 - iter 280/280 - loss 0.03030984 - time (sec): 18.10 - samples/sec: 11695.89 - lr: 0.100000
2023-04-05 11:42:51,431 ----------------------------------------------------------------------------------------------------
2023-04-05 11:42:51,432 EPOCH 44 done: loss 0.0303 - lr 0.100000
2023-04-05 11:42:51,432 BAD EPOCHS (no improvement): 0
2023-04-05 11:42:51,434 ----------------------------------------------------------------------------------------------------
2023-04-05 11:42:53,275 epoch 45 - iter 28/280 - loss 0.02896127 - time (sec): 1.84 - samples/sec: 11898.32 - lr: 0.100000
2023-04-05 11:42:55,161 epoch 45 - iter 56/280 - loss 0.02902596 - time (sec): 3.73 - samples/sec: 11596.78 - lr: 0.100000
2023-04-05 11:42:56,942 epoch 45 - iter 84/280 - loss 0.02973355 - time (sec): 5.51 - samples/sec: 11640.30 - lr: 0.100000
2023-04-05 11:42:58,729 epoch 45 - iter 112/280 - loss 0.02931551 - time (sec): 7.29 - samples/sec: 11705.45 - lr: 0.100000
2023-04-05 11:43:00,578 epoch 45 - iter 140/280 - loss 0.03045931 - time (sec): 9.14 - samples/sec: 11720.89 - lr: 0.100000
2023-04-05 11:43:02,399 epoch 45 - iter 168/280 - loss 0.03026622 - time (sec): 10.97 - samples/sec: 11685.01 - lr: 0.100000
2023-04-05 11:43:04,158 epoch 45 - iter 196/280 - loss 0.03005424 - time (sec): 12.72 - samples/sec: 11725.25 - lr: 0.100000
2023-04-05 11:43:05,933 epoch 45 - iter 224/280 - loss 0.03001498 - time (sec): 14.50 - samples/sec: 11770.86 - lr: 0.100000
2023-04-05 11:43:07,644 epoch 45 - iter 252/280 - loss 0.02994644 - time (sec): 16.21 - samples/sec: 11781.67 - lr: 0.100000
2023-04-05 11:43:09,397 epoch 45 - iter 280/280 - loss 0.02986544 - time (sec): 17.96 - samples/sec: 11784.63 - lr: 0.100000
2023-04-05 11:43:09,398 ----------------------------------------------------------------------------------------------------
2023-04-05 11:43:09,398 EPOCH 45 done: loss 0.0299 - lr 0.100000
2023-04-05 11:43:09,398 BAD EPOCHS (no improvement): 0
2023-04-05 11:43:09,400 ----------------------------------------------------------------------------------------------------
2023-04-05 11:43:11,291 epoch 46 - iter 28/280 - loss 0.02874955 - time (sec): 1.89 - samples/sec: 11491.82 - lr: 0.100000
2023-04-05 11:43:13,112 epoch 46 - iter 56/280 - loss 0.02883285 - time (sec): 3.71 - samples/sec: 11573.99 - lr: 0.100000
2023-04-05 11:43:14,889 epoch 46 - iter 84/280 - loss 0.02929241 - time (sec): 5.49 - samples/sec: 11626.20 - lr: 0.100000
2023-04-05 11:43:16,703 epoch 46 - iter 112/280 - loss 0.02970739 - time (sec): 7.30 - samples/sec: 11651.95 - lr: 0.100000
2023-04-05 11:43:18,501 epoch 46 - iter 140/280 - loss 0.02881331 - time (sec): 9.10 - samples/sec: 11665.65 - lr: 0.100000
2023-04-05 11:43:20,282 epoch 46 - iter 168/280 - loss 0.02958618 - time (sec): 10.88 - samples/sec: 11699.47 - lr: 0.100000
2023-04-05 11:43:22,112 epoch 46 - iter 196/280 - loss 0.02936984 - time (sec): 12.71 - samples/sec: 11691.44 - lr: 0.100000
2023-04-05 11:43:23,921 epoch 46 - iter 224/280 - loss 0.02939788 - time (sec): 14.52 - samples/sec: 11705.87 - lr: 0.100000
2023-04-05 11:43:25,754 epoch 46 - iter 252/280 - loss 0.02939409 - time (sec): 16.35 - samples/sec: 11682.39 - lr: 0.100000
2023-04-05 11:43:27,518 epoch 46 - iter 280/280 - loss 0.02941412 - time (sec): 18.12 - samples/sec: 11684.41 - lr: 0.100000
2023-04-05 11:43:27,518 ----------------------------------------------------------------------------------------------------
2023-04-05 11:43:27,518 EPOCH 46 done: loss 0.0294 - lr 0.100000
2023-04-05 11:43:27,518 BAD EPOCHS (no improvement): 0
2023-04-05 11:43:27,521 ----------------------------------------------------------------------------------------------------
2023-04-05 11:43:29,321 epoch 47 - iter 28/280 - loss 0.02794756 - time (sec): 1.80 - samples/sec: 11780.73 - lr: 0.100000
2023-04-05 11:43:31,155 epoch 47 - iter 56/280 - loss 0.02907753 - time (sec): 3.63 - samples/sec: 11718.88 - lr: 0.100000
2023-04-05 11:43:33,025 epoch 47 - iter 84/280 - loss 0.02881838 - time (sec): 5.50 - samples/sec: 11461.42 - lr: 0.100000
2023-04-05 11:43:34,830 epoch 47 - iter 112/280 - loss 0.02858291 - time (sec): 7.31 - samples/sec: 11603.37 - lr: 0.100000
2023-04-05 11:43:36,635 epoch 47 - iter 140/280 - loss 0.02878100 - time (sec): 9.11 - samples/sec: 11688.91 - lr: 0.100000
2023-04-05 11:43:38,427 epoch 47 - iter 168/280 - loss 0.02846553 - time (sec): 10.91 - samples/sec: 11715.47 - lr: 0.100000
2023-04-05 11:43:40,221 epoch 47 - iter 196/280 - loss 0.02847962 - time (sec): 12.70 - samples/sec: 11734.04 - lr: 0.100000
2023-04-05 11:43:41,985 epoch 47 - iter 224/280 - loss 0.02853331 - time (sec): 14.46 - samples/sec: 11756.76 - lr: 0.100000
2023-04-05 11:43:43,730 epoch 47 - iter 252/280 - loss 0.02860707 - time (sec): 16.21 - samples/sec: 11815.10 - lr: 0.100000
2023-04-05 11:43:45,482 epoch 47 - iter 280/280 - loss 0.02920642 - time (sec): 17.96 - samples/sec: 11786.24 - lr: 0.100000
2023-04-05 11:43:45,482 ----------------------------------------------------------------------------------------------------
2023-04-05 11:43:45,482 EPOCH 47 done: loss 0.0292 - lr 0.100000
2023-04-05 11:43:45,482 BAD EPOCHS (no improvement): 0
2023-04-05 11:43:45,485 ----------------------------------------------------------------------------------------------------
2023-04-05 11:43:47,276 epoch 48 - iter 28/280 - loss 0.02428445 - time (sec): 1.79 - samples/sec: 11705.37 - lr: 0.100000
2023-04-05 11:43:49,137 epoch 48 - iter 56/280 - loss 0.02632186 - time (sec): 3.65 - samples/sec: 11564.76 - lr: 0.100000
2023-04-05 11:43:50,948 epoch 48 - iter 84/280 - loss 0.02574135 - time (sec): 5.46 - samples/sec: 11634.40 - lr: 0.100000
2023-04-05 11:43:52,707 epoch 48 - iter 112/280 - loss 0.02590516 - time (sec): 7.22 - samples/sec: 11685.99 - lr: 0.100000
2023-04-05 11:43:54,499 epoch 48 - iter 140/280 - loss 0.02668638 - time (sec): 9.01 - samples/sec: 11716.51 - lr: 0.100000
2023-04-05 11:43:56,347 epoch 48 - iter 168/280 - loss 0.02697613 - time (sec): 10.86 - samples/sec: 11713.05 - lr: 0.100000
2023-04-05 11:43:58,115 epoch 48 - iter 196/280 - loss 0.02711778 - time (sec): 12.63 - samples/sec: 11751.00 - lr: 0.100000
2023-04-05 11:43:59,977 epoch 48 - iter 224/280 - loss 0.02735087 - time (sec): 14.49 - samples/sec: 11699.28 - lr: 0.100000
2023-04-05 11:44:01,733 epoch 48 - iter 252/280 - loss 0.02799781 - time (sec): 16.25 - samples/sec: 11733.54 - lr: 0.100000
2023-04-05 11:44:03,495 epoch 48 - iter 280/280 - loss 0.02796271 - time (sec): 18.01 - samples/sec: 11754.51 - lr: 0.100000
2023-04-05 11:44:03,495 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:03,495 EPOCH 48 done: loss 0.0280 - lr 0.100000
2023-04-05 11:44:03,495 BAD EPOCHS (no improvement): 0
2023-04-05 11:44:03,497 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:05,307 epoch 49 - iter 28/280 - loss 0.02556972 - time (sec): 1.81 - samples/sec: 11696.44 - lr: 0.100000
2023-04-05 11:44:07,160 epoch 49 - iter 56/280 - loss 0.02542350 - time (sec): 3.66 - samples/sec: 11647.07 - lr: 0.100000
2023-04-05 11:44:08,938 epoch 49 - iter 84/280 - loss 0.02693832 - time (sec): 5.44 - samples/sec: 11787.37 - lr: 0.100000
2023-04-05 11:44:10,729 epoch 49 - iter 112/280 - loss 0.02745584 - time (sec): 7.23 - samples/sec: 11809.17 - lr: 0.100000
2023-04-05 11:44:12,493 epoch 49 - iter 140/280 - loss 0.02753203 - time (sec): 9.00 - samples/sec: 11843.58 - lr: 0.100000
2023-04-05 11:44:14,318 epoch 49 - iter 168/280 - loss 0.02702621 - time (sec): 10.82 - samples/sec: 11847.97 - lr: 0.100000
2023-04-05 11:44:16,019 epoch 49 - iter 196/280 - loss 0.02737883 - time (sec): 12.52 - samples/sec: 11913.15 - lr: 0.100000
2023-04-05 11:44:17,771 epoch 49 - iter 224/280 - loss 0.02754981 - time (sec): 14.27 - samples/sec: 11941.14 - lr: 0.100000
2023-04-05 11:44:19,586 epoch 49 - iter 252/280 - loss 0.02795361 - time (sec): 16.09 - samples/sec: 11908.24 - lr: 0.100000
2023-04-05 11:44:21,302 epoch 49 - iter 280/280 - loss 0.02805351 - time (sec): 17.80 - samples/sec: 11889.42 - lr: 0.100000
2023-04-05 11:44:21,302 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:21,302 EPOCH 49 done: loss 0.0281 - lr 0.100000
2023-04-05 11:44:21,302 BAD EPOCHS (no improvement): 1
2023-04-05 11:44:21,305 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:23,116 epoch 50 - iter 28/280 - loss 0.02906077 - time (sec): 1.81 - samples/sec: 11457.17 - lr: 0.100000
2023-04-05 11:44:24,901 epoch 50 - iter 56/280 - loss 0.02667004 - time (sec): 3.60 - samples/sec: 11595.45 - lr: 0.100000
2023-04-05 11:44:26,681 epoch 50 - iter 84/280 - loss 0.02672700 - time (sec): 5.38 - samples/sec: 11681.60 - lr: 0.100000
2023-04-05 11:44:28,525 epoch 50 - iter 112/280 - loss 0.02685015 - time (sec): 7.22 - samples/sec: 11743.79 - lr: 0.100000
2023-04-05 11:44:30,355 epoch 50 - iter 140/280 - loss 0.02701378 - time (sec): 9.05 - samples/sec: 11751.69 - lr: 0.100000
2023-04-05 11:44:32,167 epoch 50 - iter 168/280 - loss 0.02729387 - time (sec): 10.86 - samples/sec: 11773.73 - lr: 0.100000
2023-04-05 11:44:33,953 epoch 50 - iter 196/280 - loss 0.02713707 - time (sec): 12.65 - samples/sec: 11779.39 - lr: 0.100000
2023-04-05 11:44:35,753 epoch 50 - iter 224/280 - loss 0.02736079 - time (sec): 14.45 - samples/sec: 11786.89 - lr: 0.100000
2023-04-05 11:44:37,586 epoch 50 - iter 252/280 - loss 0.02710110 - time (sec): 16.28 - samples/sec: 11751.41 - lr: 0.100000
2023-04-05 11:44:39,318 epoch 50 - iter 280/280 - loss 0.02771860 - time (sec): 18.01 - samples/sec: 11752.23 - lr: 0.100000
2023-04-05 11:44:39,318 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:39,318 EPOCH 50 done: loss 0.0277 - lr 0.100000
2023-04-05 11:44:39,319 BAD EPOCHS (no improvement): 0
2023-04-05 11:44:39,321 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:41,100 epoch 51 - iter 28/280 - loss 0.02350058 - time (sec): 1.78 - samples/sec: 11836.78 - lr: 0.100000
2023-04-05 11:44:42,911 epoch 51 - iter 56/280 - loss 0.02420945 - time (sec): 3.59 - samples/sec: 11847.84 - lr: 0.100000
2023-04-05 11:44:44,712 epoch 51 - iter 84/280 - loss 0.02473076 - time (sec): 5.39 - samples/sec: 11801.65 - lr: 0.100000
2023-04-05 11:44:46,501 epoch 51 - iter 112/280 - loss 0.02477368 - time (sec): 7.18 - samples/sec: 11840.18 - lr: 0.100000
2023-04-05 11:44:48,289 epoch 51 - iter 140/280 - loss 0.02580652 - time (sec): 8.97 - samples/sec: 11823.40 - lr: 0.100000
2023-04-05 11:44:50,050 epoch 51 - iter 168/280 - loss 0.02607423 - time (sec): 10.73 - samples/sec: 11835.60 - lr: 0.100000
2023-04-05 11:44:51,832 epoch 51 - iter 196/280 - loss 0.02660144 - time (sec): 12.51 - samples/sec: 11847.44 - lr: 0.100000
2023-04-05 11:44:53,652 epoch 51 - iter 224/280 - loss 0.02666990 - time (sec): 14.33 - samples/sec: 11825.20 - lr: 0.100000
2023-04-05 11:44:55,433 epoch 51 - iter 252/280 - loss 0.02671405 - time (sec): 16.11 - samples/sec: 11824.06 - lr: 0.100000
2023-04-05 11:44:57,228 epoch 51 - iter 280/280 - loss 0.02692566 - time (sec): 17.91 - samples/sec: 11822.23 - lr: 0.100000
2023-04-05 11:44:57,228 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:57,228 EPOCH 51 done: loss 0.0269 - lr 0.100000
2023-04-05 11:44:57,228 BAD EPOCHS (no improvement): 0
2023-04-05 11:44:57,231 ----------------------------------------------------------------------------------------------------
2023-04-05 11:44:58,996 epoch 52 - iter 28/280 - loss 0.02849583 - time (sec): 1.76 - samples/sec: 11766.61 - lr: 0.100000
2023-04-05 11:45:00,784 epoch 52 - iter 56/280 - loss 0.02784938 - time (sec): 3.55 - samples/sec: 11788.74 - lr: 0.100000
2023-04-05 11:45:02,638 epoch 52 - iter 84/280 - loss 0.02732094 - time (sec): 5.41 - samples/sec: 11696.04 - lr: 0.100000
2023-04-05 11:45:04,469 epoch 52 - iter 112/280 - loss 0.02625954 - time (sec): 7.24 - samples/sec: 11662.46 - lr: 0.100000
2023-04-05 11:45:06,286 epoch 52 - iter 140/280 - loss 0.02580923 - time (sec): 9.05 - samples/sec: 11690.99 - lr: 0.100000
2023-04-05 11:45:08,164 epoch 52 - iter 168/280 - loss 0.02643554 - time (sec): 10.93 - samples/sec: 11661.45 - lr: 0.100000
2023-04-05 11:45:09,946 epoch 52 - iter 196/280 - loss 0.02655338 - time (sec): 12.71 - samples/sec: 11705.51 - lr: 0.100000
2023-04-05 11:45:11,736 epoch 52 - iter 224/280 - loss 0.02671910 - time (sec): 14.50 - samples/sec: 11701.04 - lr: 0.100000
2023-04-05 11:45:13,568 epoch 52 - iter 252/280 - loss 0.02708245 - time (sec): 16.34 - samples/sec: 11711.16 - lr: 0.100000
2023-04-05 11:45:15,331 epoch 52 - iter 280/280 - loss 0.02728734 - time (sec): 18.10 - samples/sec: 11695.78 - lr: 0.100000
2023-04-05 11:45:15,331 ----------------------------------------------------------------------------------------------------
2023-04-05 11:45:15,331 EPOCH 52 done: loss 0.0273 - lr 0.100000
2023-04-05 11:45:15,331 BAD EPOCHS (no improvement): 1
2023-04-05 11:45:15,334 ----------------------------------------------------------------------------------------------------
2023-04-05 11:45:17,140 epoch 53 - iter 28/280 - loss 0.02533256 - time (sec): 1.81 - samples/sec: 11696.33 - lr: 0.100000
2023-04-05 11:45:18,940 epoch 53 - iter 56/280 - loss 0.02437152 - time (sec): 3.61 - samples/sec: 11666.63 - lr: 0.100000
2023-04-05 11:45:20,732 epoch 53 - iter 84/280 - loss 0.02387980 - time (sec): 5.40 - samples/sec: 11715.45 - lr: 0.100000
2023-04-05 11:45:22,516 epoch 53 - iter 112/280 - loss 0.02437736 - time (sec): 7.18 - samples/sec: 11772.71 - lr: 0.100000
2023-04-05 11:45:24,282 epoch 53 - iter 140/280 - loss 0.02439935 - time (sec): 8.95 - samples/sec: 11771.17 - lr: 0.100000
2023-04-05 11:45:26,074 epoch 53 - iter 168/280 - loss 0.02496549 - time (sec): 10.74 - samples/sec: 11765.96 - lr: 0.100000
2023-04-05 11:45:27,824 epoch 53 - iter 196/280 - loss 0.02508578 - time (sec): 12.49 - samples/sec: 11795.54 - lr: 0.100000
2023-04-05 11:45:29,690 epoch 53 - iter 224/280 - loss 0.02524693 - time (sec): 14.36 - samples/sec: 11784.35 - lr: 0.100000
2023-04-05 11:45:31,467 epoch 53 - iter 252/280 - loss 0.02574224 - time (sec): 16.13 - samples/sec: 11825.58 - lr: 0.100000
2023-04-05 11:45:33,264 epoch 53 - iter 280/280 - loss 0.02595837 - time (sec): 17.93 - samples/sec: 11806.11 - lr: 0.100000
2023-04-05 11:45:33,265 ----------------------------------------------------------------------------------------------------
2023-04-05 11:45:33,265 EPOCH 53 done: loss 0.0260 - lr 0.100000
2023-04-05 11:45:33,265 BAD EPOCHS (no improvement): 0
2023-04-05 11:45:33,268 ----------------------------------------------------------------------------------------------------
2023-04-05 11:45:35,085 epoch 54 - iter 28/280 - loss 0.02266209 - time (sec): 1.82 - samples/sec: 11721.92 - lr: 0.100000
2023-04-05 11:45:36,812 epoch 54 - iter 56/280 - loss 0.02346853 - time (sec): 3.54 - samples/sec: 11871.18 - lr: 0.100000
2023-04-05 11:45:38,626 epoch 54 - iter 84/280 - loss 0.02445412 - time (sec): 5.36 - samples/sec: 11761.12 - lr: 0.100000
2023-04-05 11:45:40,394 epoch 54 - iter 112/280 - loss 0.02538483 - time (sec): 7.13 - samples/sec: 11784.64 - lr: 0.100000
2023-04-05 11:45:42,274 epoch 54 - iter 140/280 - loss 0.02514364 - time (sec): 9.01 - samples/sec: 11730.59 - lr: 0.100000
2023-04-05 11:45:44,060 epoch 54 - iter 168/280 - loss 0.02503993 - time (sec): 10.79 - samples/sec: 11702.27 - lr: 0.100000
2023-04-05 11:45:45,875 epoch 54 - iter 196/280 - loss 0.02473764 - time (sec): 12.61 - samples/sec: 11727.31 - lr: 0.100000
2023-04-05 11:45:47,709 epoch 54 - iter 224/280 - loss 0.02487582 - time (sec): 14.44 - samples/sec: 11723.03 - lr: 0.100000
2023-04-05 11:45:49,561 epoch 54 - iter 252/280 - loss 0.02518813 - time (sec): 16.29 - samples/sec: 11727.97 - lr: 0.100000
2023-04-05 11:45:51,312 epoch 54 - iter 280/280 - loss 0.02523044 - time (sec): 18.04 - samples/sec: 11732.04 - lr: 0.100000
2023-04-05 11:45:51,312 ----------------------------------------------------------------------------------------------------
2023-04-05 11:45:51,312 EPOCH 54 done: loss 0.0252 - lr 0.100000
2023-04-05 11:45:51,312 BAD EPOCHS (no improvement): 0
2023-04-05 11:45:51,315 ----------------------------------------------------------------------------------------------------
2023-04-05 11:45:53,095 epoch 55 - iter 28/280 - loss 0.02419197 - time (sec): 1.78 - samples/sec: 11657.83 - lr: 0.100000
2023-04-05 11:45:54,895 epoch 55 - iter 56/280 - loss 0.02390033 - time (sec): 3.58 - samples/sec: 11763.92 - lr: 0.100000
2023-04-05 11:45:56,670 epoch 55 - iter 84/280 - loss 0.02326678 - time (sec): 5.36 - samples/sec: 11838.22 - lr: 0.100000
2023-04-05 11:45:58,516 epoch 55 - iter 112/280 - loss 0.02357985 - time (sec): 7.20 - samples/sec: 11771.52 - lr: 0.100000
2023-04-05 11:46:00,367 epoch 55 - iter 140/280 - loss 0.02334431 - time (sec): 9.05 - samples/sec: 11676.62 - lr: 0.100000
2023-04-05 11:46:02,209 epoch 55 - iter 168/280 - loss 0.02453248 - time (sec): 10.89 - samples/sec: 11700.92 - lr: 0.100000
2023-04-05 11:46:04,035 epoch 55 - iter 196/280 - loss 0.02460046 - time (sec): 12.72 - samples/sec: 11711.65 - lr: 0.100000
2023-04-05 11:46:05,822 epoch 55 - iter 224/280 - loss 0.02451103 - time (sec): 14.51 - samples/sec: 11745.80 - lr: 0.100000
2023-04-05 11:46:07,569 epoch 55 - iter 252/280 - loss 0.02475261 - time (sec): 16.25 - samples/sec: 11739.64 - lr: 0.100000
2023-04-05 11:46:09,275 epoch 55 - iter 280/280 - loss 0.02505652 - time (sec): 17.96 - samples/sec: 11786.38 - lr: 0.100000
2023-04-05 11:46:09,276 ----------------------------------------------------------------------------------------------------
2023-04-05 11:46:09,276 EPOCH 55 done: loss 0.0251 - lr 0.100000
2023-04-05 11:46:09,276 BAD EPOCHS (no improvement): 0
2023-04-05 11:46:09,279 ----------------------------------------------------------------------------------------------------
2023-04-05 11:46:11,121 epoch 56 - iter 28/280 - loss 0.02534903 - time (sec): 1.84 - samples/sec: 11537.50 - lr: 0.100000
2023-04-05 11:46:12,952 epoch 56 - iter 56/280 - loss 0.02312786 - time (sec): 3.67 - samples/sec: 11590.10 - lr: 0.100000
2023-04-05 11:46:14,764 epoch 56 - iter 84/280 - loss 0.02350779 - time (sec): 5.49 - samples/sec: 11640.24 - lr: 0.100000
2023-04-05 11:46:16,592 epoch 56 - iter 112/280 - loss 0.02437309 - time (sec): 7.31 - samples/sec: 11651.13 - lr: 0.100000
2023-04-05 11:46:18,433 epoch 56 - iter 140/280 - loss 0.02497722 - time (sec): 9.15 - samples/sec: 11666.28 - lr: 0.100000
2023-04-05 11:46:20,224 epoch 56 - iter 168/280 - loss 0.02502714 - time (sec): 10.95 - samples/sec: 11688.51 - lr: 0.100000
2023-04-05 11:46:21,994 epoch 56 - iter 196/280 - loss 0.02447913 - time (sec): 12.72 - samples/sec: 11736.33 - lr: 0.100000
2023-04-05 11:46:23,758 epoch 56 - iter 224/280 - loss 0.02436970 - time (sec): 14.48 - samples/sec: 11753.58 - lr: 0.100000
2023-04-05 11:46:25,625 epoch 56 - iter 252/280 - loss 0.02461723 - time (sec): 16.35 - samples/sec: 11720.79 - lr: 0.100000
2023-04-05 11:46:27,343 epoch 56 - iter 280/280 - loss 0.02473187 - time (sec): 18.06 - samples/sec: 11718.65 - lr: 0.100000
2023-04-05 11:46:27,344 ----------------------------------------------------------------------------------------------------
2023-04-05 11:46:27,344 EPOCH 56 done: loss 0.0247 - lr 0.100000
2023-04-05 11:46:27,344 BAD EPOCHS (no improvement): 0
2023-04-05 11:46:27,347 ----------------------------------------------------------------------------------------------------
2023-04-05 11:46:29,165 epoch 57 - iter 28/280 - loss 0.02300805 - time (sec): 1.82 - samples/sec: 11918.47 - lr: 0.100000
2023-04-05 11:46:31,071 epoch 57 - iter 56/280 - loss 0.02443349 - time (sec): 3.72 - samples/sec: 11661.30 - lr: 0.100000
2023-04-05 11:46:32,831 epoch 57 - iter 84/280 - loss 0.02385236 - time (sec): 5.48 - samples/sec: 11774.37 - lr: 0.100000
2023-04-05 11:46:34,559 epoch 57 - iter 112/280 - loss 0.02480441 - time (sec): 7.21 - samples/sec: 11857.70 - lr: 0.100000
2023-04-05 11:46:36,389 epoch 57 - iter 140/280 - loss 0.02529544 - time (sec): 9.04 - samples/sec: 11836.25 - lr: 0.100000
2023-04-05 11:46:38,158 epoch 57 - iter 168/280 - loss 0.02547511 - time (sec): 10.81 - samples/sec: 11830.68 - lr: 0.100000
2023-04-05 11:46:39,909 epoch 57 - iter 196/280 - loss 0.02566177 - time (sec): 12.56 - samples/sec: 11838.22 - lr: 0.100000
2023-04-05 11:46:41,767 epoch 57 - iter 224/280 - loss 0.02583997 - time (sec): 14.42 - samples/sec: 11801.28 - lr: 0.100000
2023-04-05 11:46:43,555 epoch 57 - iter 252/280 - loss 0.02549325 - time (sec): 16.21 - samples/sec: 11813.12 - lr: 0.100000
2023-04-05 11:46:45,288 epoch 57 - iter 280/280 - loss 0.02543841 - time (sec): 17.94 - samples/sec: 11799.28 - lr: 0.100000
2023-04-05 11:46:45,288 ----------------------------------------------------------------------------------------------------
2023-04-05 11:46:45,288 EPOCH 57 done: loss 0.0254 - lr 0.100000
2023-04-05 11:46:45,288 BAD EPOCHS (no improvement): 1
2023-04-05 11:46:45,291 ----------------------------------------------------------------------------------------------------
2023-04-05 11:46:47,028 epoch 58 - iter 28/280 - loss 0.02102086 - time (sec): 1.74 - samples/sec: 11827.35 - lr: 0.100000
2023-04-05 11:46:48,858 epoch 58 - iter 56/280 - loss 0.02181777 - time (sec): 3.57 - samples/sec: 11693.47 - lr: 0.100000
2023-04-05 11:46:50,653 epoch 58 - iter 84/280 - loss 0.02283550 - time (sec): 5.36 - samples/sec: 11811.40 - lr: 0.100000
2023-04-05 11:46:52,438 epoch 58 - iter 112/280 - loss 0.02324083 - time (sec): 7.15 - samples/sec: 11844.21 - lr: 0.100000
2023-04-05 11:46:54,211 epoch 58 - iter 140/280 - loss 0.02409030 - time (sec): 8.92 - samples/sec: 11815.01 - lr: 0.100000
2023-04-05 11:46:56,021 epoch 58 - iter 168/280 - loss 0.02362296 - time (sec): 10.73 - samples/sec: 11840.57 - lr: 0.100000
2023-04-05 11:46:57,852 epoch 58 - iter 196/280 - loss 0.02361396 - time (sec): 12.56 - samples/sec: 11828.75 - lr: 0.100000
2023-04-05 11:46:59,698 epoch 58 - iter 224/280 - loss 0.02422569 - time (sec): 14.41 - samples/sec: 11797.26 - lr: 0.100000
2023-04-05 11:47:02,950 epoch 58 - iter 252/280 - loss 0.02416822 - time (sec): 17.66 - samples/sec: 10835.21 - lr: 0.100000
2023-04-05 11:47:04,731 epoch 58 - iter 280/280 - loss 0.02446460 - time (sec): 19.44 - samples/sec: 10889.42 - lr: 0.100000
2023-04-05 11:47:04,732 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:04,732 EPOCH 58 done: loss 0.0245 - lr 0.100000
2023-04-05 11:47:04,732 BAD EPOCHS (no improvement): 0
2023-04-05 11:47:04,735 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:06,541 epoch 59 - iter 28/280 - loss 0.02619119 - time (sec): 1.81 - samples/sec: 11788.65 - lr: 0.100000
2023-04-05 11:47:08,361 epoch 59 - iter 56/280 - loss 0.02429308 - time (sec): 3.63 - samples/sec: 11778.78 - lr: 0.100000
2023-04-05 11:47:10,134 epoch 59 - iter 84/280 - loss 0.02429658 - time (sec): 5.40 - samples/sec: 11799.85 - lr: 0.100000
2023-04-05 11:47:11,948 epoch 59 - iter 112/280 - loss 0.02515254 - time (sec): 7.21 - samples/sec: 11789.29 - lr: 0.100000
2023-04-05 11:47:13,769 epoch 59 - iter 140/280 - loss 0.02469885 - time (sec): 9.03 - samples/sec: 11820.21 - lr: 0.100000
2023-04-05 11:47:15,523 epoch 59 - iter 168/280 - loss 0.02447338 - time (sec): 10.79 - samples/sec: 11844.87 - lr: 0.100000
2023-04-05 11:47:17,345 epoch 59 - iter 196/280 - loss 0.02495776 - time (sec): 12.61 - samples/sec: 11833.71 - lr: 0.100000
2023-04-05 11:47:19,102 epoch 59 - iter 224/280 - loss 0.02497418 - time (sec): 14.37 - samples/sec: 11858.57 - lr: 0.100000
2023-04-05 11:47:20,829 epoch 59 - iter 252/280 - loss 0.02465591 - time (sec): 16.09 - samples/sec: 11861.35 - lr: 0.100000
2023-04-05 11:47:22,581 epoch 59 - iter 280/280 - loss 0.02507243 - time (sec): 17.85 - samples/sec: 11862.29 - lr: 0.100000
2023-04-05 11:47:22,581 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:22,581 EPOCH 59 done: loss 0.0251 - lr 0.100000
2023-04-05 11:47:22,581 BAD EPOCHS (no improvement): 1
2023-04-05 11:47:22,584 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:24,360 epoch 60 - iter 28/280 - loss 0.02113266 - time (sec): 1.78 - samples/sec: 11928.35 - lr: 0.100000
2023-04-05 11:47:26,155 epoch 60 - iter 56/280 - loss 0.02145107 - time (sec): 3.57 - samples/sec: 11872.75 - lr: 0.100000
2023-04-05 11:47:27,970 epoch 60 - iter 84/280 - loss 0.02205379 - time (sec): 5.39 - samples/sec: 11874.60 - lr: 0.100000
2023-04-05 11:47:29,755 epoch 60 - iter 112/280 - loss 0.02269022 - time (sec): 7.17 - samples/sec: 11861.87 - lr: 0.100000
2023-04-05 11:47:31,594 epoch 60 - iter 140/280 - loss 0.02282305 - time (sec): 9.01 - samples/sec: 11818.68 - lr: 0.100000
2023-04-05 11:47:33,486 epoch 60 - iter 168/280 - loss 0.02345920 - time (sec): 10.90 - samples/sec: 11731.73 - lr: 0.100000
2023-04-05 11:47:35,307 epoch 60 - iter 196/280 - loss 0.02317190 - time (sec): 12.72 - samples/sec: 11729.85 - lr: 0.100000
2023-04-05 11:47:37,088 epoch 60 - iter 224/280 - loss 0.02340442 - time (sec): 14.50 - samples/sec: 11718.86 - lr: 0.100000
2023-04-05 11:47:38,884 epoch 60 - iter 252/280 - loss 0.02340842 - time (sec): 16.30 - samples/sec: 11717.21 - lr: 0.100000
2023-04-05 11:47:40,667 epoch 60 - iter 280/280 - loss 0.02382782 - time (sec): 18.08 - samples/sec: 11706.96 - lr: 0.100000
2023-04-05 11:47:40,667 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:40,667 EPOCH 60 done: loss 0.0238 - lr 0.100000
2023-04-05 11:47:40,667 BAD EPOCHS (no improvement): 0
2023-04-05 11:47:40,670 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:42,508 epoch 61 - iter 28/280 - loss 0.02188785 - time (sec): 1.84 - samples/sec: 11782.04 - lr: 0.100000
2023-04-05 11:47:44,271 epoch 61 - iter 56/280 - loss 0.02242564 - time (sec): 3.60 - samples/sec: 11821.43 - lr: 0.100000
2023-04-05 11:47:46,085 epoch 61 - iter 84/280 - loss 0.02297340 - time (sec): 5.42 - samples/sec: 11778.55 - lr: 0.100000
2023-04-05 11:47:47,880 epoch 61 - iter 112/280 - loss 0.02249226 - time (sec): 7.21 - samples/sec: 11752.88 - lr: 0.100000
2023-04-05 11:47:49,655 epoch 61 - iter 140/280 - loss 0.02255858 - time (sec): 8.99 - samples/sec: 11727.47 - lr: 0.100000
2023-04-05 11:47:51,450 epoch 61 - iter 168/280 - loss 0.02330611 - time (sec): 10.78 - samples/sec: 11754.71 - lr: 0.100000
2023-04-05 11:47:53,257 epoch 61 - iter 196/280 - loss 0.02347869 - time (sec): 12.59 - samples/sec: 11767.26 - lr: 0.100000
2023-04-05 11:47:55,094 epoch 61 - iter 224/280 - loss 0.02357455 - time (sec): 14.42 - samples/sec: 11756.03 - lr: 0.100000
2023-04-05 11:47:56,896 epoch 61 - iter 252/280 - loss 0.02331765 - time (sec): 16.23 - samples/sec: 11748.69 - lr: 0.100000
2023-04-05 11:47:58,695 epoch 61 - iter 280/280 - loss 0.02335792 - time (sec): 18.03 - samples/sec: 11744.17 - lr: 0.100000
2023-04-05 11:47:58,695 ----------------------------------------------------------------------------------------------------
2023-04-05 11:47:58,695 EPOCH 61 done: loss 0.0234 - lr 0.100000
2023-04-05 11:47:58,695 BAD EPOCHS (no improvement): 0
2023-04-05 11:47:58,697 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:00,512 epoch 62 - iter 28/280 - loss 0.02323850 - time (sec): 1.81 - samples/sec: 11839.29 - lr: 0.100000
2023-04-05 11:48:02,268 epoch 62 - iter 56/280 - loss 0.02418270 - time (sec): 3.57 - samples/sec: 11981.55 - lr: 0.100000
2023-04-05 11:48:04,073 epoch 62 - iter 84/280 - loss 0.02399754 - time (sec): 5.38 - samples/sec: 11947.92 - lr: 0.100000
2023-04-05 11:48:05,910 epoch 62 - iter 112/280 - loss 0.02400588 - time (sec): 7.21 - samples/sec: 11942.51 - lr: 0.100000
2023-04-05 11:48:07,710 epoch 62 - iter 140/280 - loss 0.02466488 - time (sec): 9.01 - samples/sec: 11944.01 - lr: 0.100000
2023-04-05 11:48:09,527 epoch 62 - iter 168/280 - loss 0.02430790 - time (sec): 10.83 - samples/sec: 11824.20 - lr: 0.100000
2023-04-05 11:48:11,352 epoch 62 - iter 196/280 - loss 0.02400981 - time (sec): 12.65 - samples/sec: 11798.90 - lr: 0.100000
2023-04-05 11:48:13,164 epoch 62 - iter 224/280 - loss 0.02408896 - time (sec): 14.47 - samples/sec: 11762.72 - lr: 0.100000
2023-04-05 11:48:14,952 epoch 62 - iter 252/280 - loss 0.02416502 - time (sec): 16.25 - samples/sec: 11760.69 - lr: 0.100000
2023-04-05 11:48:16,705 epoch 62 - iter 280/280 - loss 0.02405755 - time (sec): 18.01 - samples/sec: 11755.45 - lr: 0.100000
2023-04-05 11:48:16,706 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:16,706 EPOCH 62 done: loss 0.0241 - lr 0.100000
2023-04-05 11:48:16,706 BAD EPOCHS (no improvement): 1
2023-04-05 11:48:16,709 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:18,500 epoch 63 - iter 28/280 - loss 0.02399210 - time (sec): 1.79 - samples/sec: 11865.63 - lr: 0.100000
2023-04-05 11:48:20,351 epoch 63 - iter 56/280 - loss 0.02311333 - time (sec): 3.64 - samples/sec: 11764.21 - lr: 0.100000
2023-04-05 11:48:22,168 epoch 63 - iter 84/280 - loss 0.02283618 - time (sec): 5.46 - samples/sec: 11743.53 - lr: 0.100000
2023-04-05 11:48:23,951 epoch 63 - iter 112/280 - loss 0.02289443 - time (sec): 7.24 - samples/sec: 11781.37 - lr: 0.100000
2023-04-05 11:48:25,784 epoch 63 - iter 140/280 - loss 0.02282495 - time (sec): 9.07 - samples/sec: 11784.54 - lr: 0.100000
2023-04-05 11:48:27,502 epoch 63 - iter 168/280 - loss 0.02239201 - time (sec): 10.79 - samples/sec: 11828.14 - lr: 0.100000
2023-04-05 11:48:29,288 epoch 63 - iter 196/280 - loss 0.02290296 - time (sec): 12.58 - samples/sec: 11855.04 - lr: 0.100000
2023-04-05 11:48:31,061 epoch 63 - iter 224/280 - loss 0.02269834 - time (sec): 14.35 - samples/sec: 11836.38 - lr: 0.100000
2023-04-05 11:48:32,875 epoch 63 - iter 252/280 - loss 0.02259157 - time (sec): 16.17 - samples/sec: 11850.83 - lr: 0.100000
2023-04-05 11:48:34,629 epoch 63 - iter 280/280 - loss 0.02291769 - time (sec): 17.92 - samples/sec: 11813.53 - lr: 0.100000
2023-04-05 11:48:34,629 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:34,629 EPOCH 63 done: loss 0.0229 - lr 0.100000
2023-04-05 11:48:34,629 BAD EPOCHS (no improvement): 0
2023-04-05 11:48:34,632 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:36,416 epoch 64 - iter 28/280 - loss 0.02256941 - time (sec): 1.78 - samples/sec: 12046.75 - lr: 0.100000
2023-04-05 11:48:38,220 epoch 64 - iter 56/280 - loss 0.02283717 - time (sec): 3.59 - samples/sec: 12080.67 - lr: 0.100000
2023-04-05 11:48:40,072 epoch 64 - iter 84/280 - loss 0.02293735 - time (sec): 5.44 - samples/sec: 11894.21 - lr: 0.100000
2023-04-05 11:48:41,928 epoch 64 - iter 112/280 - loss 0.02269072 - time (sec): 7.30 - samples/sec: 11826.81 - lr: 0.100000
2023-04-05 11:48:43,696 epoch 64 - iter 140/280 - loss 0.02339030 - time (sec): 9.06 - samples/sec: 11859.71 - lr: 0.100000
2023-04-05 11:48:45,516 epoch 64 - iter 168/280 - loss 0.02326319 - time (sec): 10.88 - samples/sec: 11814.03 - lr: 0.100000
2023-04-05 11:48:47,310 epoch 64 - iter 196/280 - loss 0.02272604 - time (sec): 12.68 - samples/sec: 11823.75 - lr: 0.100000
2023-04-05 11:48:49,113 epoch 64 - iter 224/280 - loss 0.02247590 - time (sec): 14.48 - samples/sec: 11828.52 - lr: 0.100000
2023-04-05 11:48:50,940 epoch 64 - iter 252/280 - loss 0.02279041 - time (sec): 16.31 - samples/sec: 11758.11 - lr: 0.100000
2023-04-05 11:48:52,669 epoch 64 - iter 280/280 - loss 0.02302565 - time (sec): 18.04 - samples/sec: 11736.76 - lr: 0.100000
2023-04-05 11:48:52,669 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:52,669 EPOCH 64 done: loss 0.0230 - lr 0.100000
2023-04-05 11:48:52,669 BAD EPOCHS (no improvement): 1
2023-04-05 11:48:52,672 ----------------------------------------------------------------------------------------------------
2023-04-05 11:48:54,483 epoch 65 - iter 28/280 - loss 0.02109243 - time (sec): 1.81 - samples/sec: 11720.69 - lr: 0.100000
2023-04-05 11:48:56,278 epoch 65 - iter 56/280 - loss 0.02157008 - time (sec): 3.61 - samples/sec: 11860.30 - lr: 0.100000
2023-04-05 11:48:58,069 epoch 65 - iter 84/280 - loss 0.02115013 - time (sec): 5.40 - samples/sec: 11777.23 - lr: 0.100000
2023-04-05 11:48:59,872 epoch 65 - iter 112/280 - loss 0.02153102 - time (sec): 7.20 - samples/sec: 11748.63 - lr: 0.100000
2023-04-05 11:49:01,683 epoch 65 - iter 140/280 - loss 0.02208391 - time (sec): 9.01 - samples/sec: 11757.75 - lr: 0.100000
2023-04-05 11:49:03,468 epoch 65 - iter 168/280 - loss 0.02213290 - time (sec): 10.80 - samples/sec: 11766.42 - lr: 0.100000
2023-04-05 11:49:05,233 epoch 65 - iter 196/280 - loss 0.02250858 - time (sec): 12.56 - samples/sec: 11792.34 - lr: 0.100000
2023-04-05 11:49:07,029 epoch 65 - iter 224/280 - loss 0.02244799 - time (sec): 14.36 - samples/sec: 11810.18 - lr: 0.100000
2023-04-05 11:49:08,849 epoch 65 - iter 252/280 - loss 0.02239353 - time (sec): 16.18 - samples/sec: 11789.44 - lr: 0.100000
2023-04-05 11:49:10,597 epoch 65 - iter 280/280 - loss 0.02259849 - time (sec): 17.93 - samples/sec: 11809.53 - lr: 0.100000
2023-04-05 11:49:10,597 ----------------------------------------------------------------------------------------------------
2023-04-05 11:49:10,598 EPOCH 65 done: loss 0.0226 - lr 0.100000
2023-04-05 11:49:10,598 BAD EPOCHS (no improvement): 0
2023-04-05 11:49:10,600 ----------------------------------------------------------------------------------------------------
2023-04-05 11:49:12,439 epoch 66 - iter 28/280 - loss 0.02173673 - time (sec): 1.84 - samples/sec: 11630.28 - lr: 0.100000
2023-04-05 11:49:14,352 epoch 66 - iter 56/280 - loss 0.02164669 - time (sec): 3.75 - samples/sec: 11389.82 - lr: 0.100000
2023-04-05 11:49:16,177 epoch 66 - iter 84/280 - loss 0.02117474 - time (sec): 5.58 - samples/sec: 11438.32 - lr: 0.100000
2023-04-05 11:49:17,979 epoch 66 - iter 112/280 - loss 0.02168819 - time (sec): 7.38 - samples/sec: 11518.55 - lr: 0.100000
2023-04-05 11:49:19,865 epoch 66 - iter 140/280 - loss 0.02228495 - time (sec): 9.26 - samples/sec: 11500.09 - lr: 0.100000
2023-04-05 11:49:21,678 epoch 66 - iter 168/280 - loss 0.02238455 - time (sec): 11.08 - samples/sec: 11498.08 - lr: 0.100000
2023-04-05 11:49:23,544 epoch 66 - iter 196/280 - loss 0.02269903 - time (sec): 12.94 - samples/sec: 11468.78 - lr: 0.100000
2023-04-05 11:49:25,472 epoch 66 - iter 224/280 - loss 0.02294796 - time (sec): 14.87 - samples/sec: 11422.39 - lr: 0.100000
2023-04-05 11:49:27,332 epoch 66 - iter 252/280 - loss 0.02301732 - time (sec): 16.73 - samples/sec: 11429.27 - lr: 0.100000
2023-04-05 11:49:29,139 epoch 66 - iter 280/280 - loss 0.02321416 - time (sec): 18.54 - samples/sec: 11419.00 - lr: 0.100000
2023-04-05 11:49:29,139 ----------------------------------------------------------------------------------------------------
2023-04-05 11:49:29,139 EPOCH 66 done: loss 0.0232 - lr 0.100000
2023-04-05 11:49:29,139 BAD EPOCHS (no improvement): 1
2023-04-05 11:49:29,142 ----------------------------------------------------------------------------------------------------
2023-04-05 11:49:30,937 epoch 67 - iter 28/280 - loss 0.02118564 - time (sec): 1.80 - samples/sec: 11651.72 - lr: 0.100000
2023-04-05 11:49:32,738 epoch 67 - iter 56/280 - loss 0.02083372 - time (sec): 3.60 - samples/sec: 11722.32 - lr: 0.100000
2023-04-05 11:49:34,668 epoch 67 - iter 84/280 - loss 0.02069451 - time (sec): 5.53 - samples/sec: 11528.32 - lr: 0.100000
2023-04-05 11:49:36,428 epoch 67 - iter 112/280 - loss 0.02137567 - time (sec): 7.29 - samples/sec: 11648.89 - lr: 0.100000
2023-04-05 11:49:38,263 epoch 67 - iter 140/280 - loss 0.02156501 - time (sec): 9.12 - samples/sec: 11644.34 - lr: 0.100000
2023-04-05 11:49:40,047 epoch 67 - iter 168/280 - loss 0.02227597 - time (sec): 10.91 - samples/sec: 11691.65 - lr: 0.100000
2023-04-05 11:49:41,847 epoch 67 - iter 196/280 - loss 0.02273584 - time (sec): 12.71 - samples/sec: 11697.50 - lr: 0.100000
2023-04-05 11:49:43,742 epoch 67 - iter 224/280 - loss 0.02281440 - time (sec): 14.60 - samples/sec: 11656.97 - lr: 0.100000
2023-04-05 11:49:45,576 epoch 67 - iter 252/280 - loss 0.02269671 - time (sec): 16.43 - samples/sec: 11645.39 - lr: 0.100000
2023-04-05 11:49:47,322 epoch 67 - iter 280/280 - loss 0.02260637 - time (sec): 18.18 - samples/sec: 11644.08 - lr: 0.100000
2023-04-05 11:49:47,322 ----------------------------------------------------------------------------------------------------
2023-04-05 11:49:47,322 EPOCH 67 done: loss 0.0226 - lr 0.100000
2023-04-05 11:49:47,322 BAD EPOCHS (no improvement): 2
2023-04-05 11:49:47,325 ----------------------------------------------------------------------------------------------------
2023-04-05 11:49:49,145 epoch 68 - iter 28/280 - loss 0.01995264 - time (sec): 1.82 - samples/sec: 11760.90 - lr: 0.100000
2023-04-05 11:49:50,925 epoch 68 - iter 56/280 - loss 0.02301703 - time (sec): 3.60 - samples/sec: 11685.25 - lr: 0.100000
2023-04-05 11:49:52,853 epoch 68 - iter 84/280 - loss 0.02168046 - time (sec): 5.53 - samples/sec: 11463.48 - lr: 0.100000
2023-04-05 11:49:54,695 epoch 68 - iter 112/280 - loss 0.02146049 - time (sec): 7.37 - samples/sec: 11497.24 - lr: 0.100000
2023-04-05 11:49:56,551 epoch 68 - iter 140/280 - loss 0.02188571 - time (sec): 9.23 - samples/sec: 11465.11 - lr: 0.100000
2023-04-05 11:49:58,447 epoch 68 - iter 168/280 - loss 0.02185243 - time (sec): 11.12 - samples/sec: 11428.60 - lr: 0.100000
2023-04-05 11:50:00,327 epoch 68 - iter 196/280 - loss 0.02184818 - time (sec): 13.00 - samples/sec: 11393.16 - lr: 0.100000
2023-04-05 11:50:02,208 epoch 68 - iter 224/280 - loss 0.02168539 - time (sec): 14.88 - samples/sec: 11381.98 - lr: 0.100000
2023-04-05 11:50:04,163 epoch 68 - iter 252/280 - loss 0.02169250 - time (sec): 16.84 - samples/sec: 11354.46 - lr: 0.100000
2023-04-05 11:50:05,996 epoch 68 - iter 280/280 - loss 0.02202710 - time (sec): 18.67 - samples/sec: 11337.80 - lr: 0.100000
2023-04-05 11:50:05,996 ----------------------------------------------------------------------------------------------------
2023-04-05 11:50:05,996 EPOCH 68 done: loss 0.0220 - lr 0.100000
2023-04-05 11:50:05,997 BAD EPOCHS (no improvement): 0
2023-04-05 11:50:05,999 ----------------------------------------------------------------------------------------------------
2023-04-05 11:50:07,855 epoch 69 - iter 28/280 - loss 0.02384428 - time (sec): 1.86 - samples/sec: 11205.34 - lr: 0.100000
2023-04-05 11:50:09,712 epoch 69 - iter 56/280 - loss 0.02214349 - time (sec): 3.71 - samples/sec: 11346.57 - lr: 0.100000
2023-04-05 11:50:11,580 epoch 69 - iter 84/280 - loss 0.02205930 - time (sec): 5.58 - samples/sec: 11352.85 - lr: 0.100000
2023-04-05 11:50:13,515 epoch 69 - iter 112/280 - loss 0.02269737 - time (sec): 7.52 - samples/sec: 11288.43 - lr: 0.100000
2023-04-05 11:50:15,316 epoch 69 - iter 140/280 - loss 0.02233032 - time (sec): 9.32 - samples/sec: 11335.06 - lr: 0.100000
2023-04-05 11:50:17,095 epoch 69 - iter 168/280 - loss 0.02254028 - time (sec): 11.10 - samples/sec: 11378.08 - lr: 0.100000
2023-04-05 11:50:18,893 epoch 69 - iter 196/280 - loss 0.02286921 - time (sec): 12.89 - samples/sec: 11429.12 - lr: 0.100000
2023-04-05 11:50:20,697 epoch 69 - iter 224/280 - loss 0.02247976 - time (sec): 14.70 - samples/sec: 11499.50 - lr: 0.100000
2023-04-05 11:50:22,502 epoch 69 - iter 252/280 - loss 0.02243047 - time (sec): 16.50 - samples/sec: 11533.11 - lr: 0.100000
2023-04-05 11:50:24,306 epoch 69 - iter 280/280 - loss 0.02259251 - time (sec): 18.31 - samples/sec: 11563.56 - lr: 0.100000
2023-04-05 11:50:24,306 ----------------------------------------------------------------------------------------------------
2023-04-05 11:50:24,306 EPOCH 69 done: loss 0.0226 - lr 0.100000
2023-04-05 11:50:24,306 BAD EPOCHS (no improvement): 1
2023-04-05 11:50:24,309 ----------------------------------------------------------------------------------------------------
2023-04-05 11:50:26,128 epoch 70 - iter 28/280 - loss 0.02043274 - time (sec): 1.82 - samples/sec: 12043.46 - lr: 0.100000
2023-04-05 11:50:27,893 epoch 70 - iter 56/280 - loss 0.02185234 - time (sec): 3.58 - samples/sec: 12005.44 - lr: 0.100000
2023-04-05 11:50:29,701 epoch 70 - iter 84/280 - loss 0.02104883 - time (sec): 5.39 - samples/sec: 11916.91 - lr: 0.100000
2023-04-05 11:50:31,436 epoch 70 - iter 112/280 - loss 0.02097437 - time (sec): 7.13 - samples/sec: 11971.67 - lr: 0.100000
2023-04-05 11:50:33,238 epoch 70 - iter 140/280 - loss 0.02153211 - time (sec): 8.93 - samples/sec: 11930.38 - lr: 0.100000
2023-04-05 11:50:35,047 epoch 70 - iter 168/280 - loss 0.02199826 - time (sec): 10.74 - samples/sec: 11892.64 - lr: 0.100000
2023-04-05 11:50:36,897 epoch 70 - iter 196/280 - loss 0.02243874 - time (sec): 12.59 - samples/sec: 11835.21 - lr: 0.100000
2023-04-05 11:50:38,693 epoch 70 - iter 224/280 - loss 0.02245933 - time (sec): 14.38 - samples/sec: 11816.14 - lr: 0.100000
2023-04-05 11:50:40,516 epoch 70 - iter 252/280 - loss 0.02208386 - time (sec): 16.21 - samples/sec: 11788.31 - lr: 0.100000
2023-04-05 11:50:42,372 epoch 70 - iter 280/280 - loss 0.02221598 - time (sec): 18.06 - samples/sec: 11719.59 - lr: 0.100000
2023-04-05 11:50:42,373 ----------------------------------------------------------------------------------------------------
2023-04-05 11:50:42,373 EPOCH 70 done: loss 0.0222 - lr 0.100000
2023-04-05 11:50:42,373 BAD EPOCHS (no improvement): 2
2023-04-05 11:50:42,376 ----------------------------------------------------------------------------------------------------
2023-04-05 11:50:44,138 epoch 71 - iter 28/280 - loss 0.02135674 - time (sec): 1.76 - samples/sec: 11812.23 - lr: 0.100000
2023-04-05 11:50:45,971 epoch 71 - iter 56/280 - loss 0.02388856 - time (sec): 3.60 - samples/sec: 11699.07 - lr: 0.100000
2023-04-05 11:50:47,694 epoch 71 - iter 84/280 - loss 0.02384579 - time (sec): 5.32 - samples/sec: 11827.05 - lr: 0.100000
2023-04-05 11:50:49,448 epoch 71 - iter 112/280 - loss 0.02313819 - time (sec): 7.07 - samples/sec: 11849.37 - lr: 0.100000
2023-04-05 11:50:51,283 epoch 71 - iter 140/280 - loss 0.02235630 - time (sec): 8.91 - samples/sec: 11849.30 - lr: 0.100000
2023-04-05 11:50:53,084 epoch 71 - iter 168/280 - loss 0.02215512 - time (sec): 10.71 - samples/sec: 11834.74 - lr: 0.100000
2023-04-05 11:50:54,898 epoch 71 - iter 196/280 - loss 0.02187449 - time (sec): 12.52 - samples/sec: 11815.25 - lr: 0.100000
2023-04-05 11:50:56,703 epoch 71 - iter 224/280 - loss 0.02162644 - time (sec): 14.33 - samples/sec: 11843.04 - lr: 0.100000
2023-04-05 11:50:58,538 epoch 71 - iter 252/280 - loss 0.02167685 - time (sec): 16.16 - samples/sec: 11818.34 - lr: 0.100000
2023-04-05 11:51:00,330 epoch 71 - iter 280/280 - loss 0.02160666 - time (sec): 17.95 - samples/sec: 11790.37 - lr: 0.100000
2023-04-05 11:51:00,331 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:00,331 EPOCH 71 done: loss 0.0216 - lr 0.100000
2023-04-05 11:51:00,331 BAD EPOCHS (no improvement): 0
2023-04-05 11:51:00,334 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:02,125 epoch 72 - iter 28/280 - loss 0.01890931 - time (sec): 1.79 - samples/sec: 12039.23 - lr: 0.100000
2023-04-05 11:51:03,914 epoch 72 - iter 56/280 - loss 0.02099879 - time (sec): 3.58 - samples/sec: 11818.67 - lr: 0.100000
2023-04-05 11:51:05,666 epoch 72 - iter 84/280 - loss 0.02116803 - time (sec): 5.33 - samples/sec: 11860.73 - lr: 0.100000
2023-04-05 11:51:07,560 epoch 72 - iter 112/280 - loss 0.02147318 - time (sec): 7.23 - samples/sec: 11785.55 - lr: 0.100000
2023-04-05 11:51:09,337 epoch 72 - iter 140/280 - loss 0.02120447 - time (sec): 9.00 - samples/sec: 11815.66 - lr: 0.100000
2023-04-05 11:51:11,159 epoch 72 - iter 168/280 - loss 0.02106742 - time (sec): 10.82 - samples/sec: 11771.86 - lr: 0.100000
2023-04-05 11:51:13,003 epoch 72 - iter 196/280 - loss 0.02108144 - time (sec): 12.67 - samples/sec: 11749.95 - lr: 0.100000
2023-04-05 11:51:14,795 epoch 72 - iter 224/280 - loss 0.02124388 - time (sec): 14.46 - samples/sec: 11750.01 - lr: 0.100000
2023-04-05 11:51:16,617 epoch 72 - iter 252/280 - loss 0.02123163 - time (sec): 16.28 - samples/sec: 11739.45 - lr: 0.100000
2023-04-05 11:51:18,406 epoch 72 - iter 280/280 - loss 0.02130043 - time (sec): 18.07 - samples/sec: 11714.22 - lr: 0.100000
2023-04-05 11:51:18,406 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:18,406 EPOCH 72 done: loss 0.0213 - lr 0.100000
2023-04-05 11:51:18,406 BAD EPOCHS (no improvement): 0
2023-04-05 11:51:18,408 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:20,177 epoch 73 - iter 28/280 - loss 0.01976903 - time (sec): 1.77 - samples/sec: 11802.86 - lr: 0.100000
2023-04-05 11:51:22,042 epoch 73 - iter 56/280 - loss 0.02012165 - time (sec): 3.63 - samples/sec: 11745.01 - lr: 0.100000
2023-04-05 11:51:23,876 epoch 73 - iter 84/280 - loss 0.02110452 - time (sec): 5.47 - samples/sec: 11655.87 - lr: 0.100000
2023-04-05 11:51:25,730 epoch 73 - iter 112/280 - loss 0.02103326 - time (sec): 7.32 - samples/sec: 11591.09 - lr: 0.100000
2023-04-05 11:51:27,657 epoch 73 - iter 140/280 - loss 0.02114601 - time (sec): 9.25 - samples/sec: 11528.85 - lr: 0.100000
2023-04-05 11:51:29,494 epoch 73 - iter 168/280 - loss 0.02116793 - time (sec): 11.09 - samples/sec: 11528.62 - lr: 0.100000
2023-04-05 11:51:31,360 epoch 73 - iter 196/280 - loss 0.02169981 - time (sec): 12.95 - samples/sec: 11492.76 - lr: 0.100000
2023-04-05 11:51:33,268 epoch 73 - iter 224/280 - loss 0.02152706 - time (sec): 14.86 - samples/sec: 11458.53 - lr: 0.100000
2023-04-05 11:51:35,118 epoch 73 - iter 252/280 - loss 0.02150310 - time (sec): 16.71 - samples/sec: 11445.54 - lr: 0.100000
2023-04-05 11:51:36,928 epoch 73 - iter 280/280 - loss 0.02157205 - time (sec): 18.52 - samples/sec: 11430.48 - lr: 0.100000
2023-04-05 11:51:36,929 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:36,929 EPOCH 73 done: loss 0.0216 - lr 0.100000
2023-04-05 11:51:36,929 BAD EPOCHS (no improvement): 1
2023-04-05 11:51:36,932 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:38,754 epoch 74 - iter 28/280 - loss 0.02098983 - time (sec): 1.82 - samples/sec: 11538.43 - lr: 0.100000
2023-04-05 11:51:40,544 epoch 74 - iter 56/280 - loss 0.02232177 - time (sec): 3.61 - samples/sec: 11716.26 - lr: 0.100000
2023-04-05 11:51:42,441 epoch 74 - iter 84/280 - loss 0.02161001 - time (sec): 5.51 - samples/sec: 11514.39 - lr: 0.100000
2023-04-05 11:51:44,324 epoch 74 - iter 112/280 - loss 0.02150725 - time (sec): 7.39 - samples/sec: 11435.70 - lr: 0.100000
2023-04-05 11:51:46,311 epoch 74 - iter 140/280 - loss 0.02151222 - time (sec): 9.38 - samples/sec: 11291.40 - lr: 0.100000
2023-04-05 11:51:48,299 epoch 74 - iter 168/280 - loss 0.02103056 - time (sec): 11.37 - samples/sec: 11162.32 - lr: 0.100000
2023-04-05 11:51:50,339 epoch 74 - iter 196/280 - loss 0.02144645 - time (sec): 13.41 - samples/sec: 11090.46 - lr: 0.100000
2023-04-05 11:51:52,337 epoch 74 - iter 224/280 - loss 0.02149728 - time (sec): 15.41 - samples/sec: 11026.00 - lr: 0.100000
2023-04-05 11:51:54,291 epoch 74 - iter 252/280 - loss 0.02160198 - time (sec): 17.36 - samples/sec: 11014.47 - lr: 0.100000
2023-04-05 11:51:56,165 epoch 74 - iter 280/280 - loss 0.02192832 - time (sec): 19.23 - samples/sec: 11006.63 - lr: 0.100000
2023-04-05 11:51:56,165 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:56,165 EPOCH 74 done: loss 0.0219 - lr 0.100000
2023-04-05 11:51:56,165 BAD EPOCHS (no improvement): 2
2023-04-05 11:51:56,168 ----------------------------------------------------------------------------------------------------
2023-04-05 11:51:58,145 epoch 75 - iter 28/280 - loss 0.02163516 - time (sec): 1.98 - samples/sec: 10959.87 - lr: 0.100000
2023-04-05 11:52:00,155 epoch 75 - iter 56/280 - loss 0.02022709 - time (sec): 3.99 - samples/sec: 10698.71 - lr: 0.100000
2023-04-05 11:52:02,113 epoch 75 - iter 84/280 - loss 0.01975822 - time (sec): 5.95 - samples/sec: 10746.03 - lr: 0.100000
2023-04-05 11:52:04,081 epoch 75 - iter 112/280 - loss 0.01920793 - time (sec): 7.91 - samples/sec: 10697.91 - lr: 0.100000
2023-04-05 11:52:06,058 epoch 75 - iter 140/280 - loss 0.02015015 - time (sec): 9.89 - samples/sec: 10655.64 - lr: 0.100000
2023-04-05 11:52:07,993 epoch 75 - iter 168/280 - loss 0.01994776 - time (sec): 11.82 - samples/sec: 10689.25 - lr: 0.100000
2023-04-05 11:52:10,004 epoch 75 - iter 196/280 - loss 0.02006121 - time (sec): 13.84 - samples/sec: 10654.79 - lr: 0.100000
2023-04-05 11:52:11,996 epoch 75 - iter 224/280 - loss 0.02013890 - time (sec): 15.83 - samples/sec: 10679.64 - lr: 0.100000
2023-04-05 11:52:13,984 epoch 75 - iter 252/280 - loss 0.02005821 - time (sec): 17.82 - samples/sec: 10718.56 - lr: 0.100000
2023-04-05 11:52:15,962 epoch 75 - iter 280/280 - loss 0.02010611 - time (sec): 19.79 - samples/sec: 10694.62 - lr: 0.100000
2023-04-05 11:52:15,962 ----------------------------------------------------------------------------------------------------
2023-04-05 11:52:15,962 EPOCH 75 done: loss 0.0201 - lr 0.100000
2023-04-05 11:52:15,962 BAD EPOCHS (no improvement): 0
2023-04-05 11:52:15,966 ----------------------------------------------------------------------------------------------------
2023-04-05 11:52:17,913 epoch 76 - iter 28/280 - loss 0.02009897 - time (sec): 1.95 - samples/sec: 10528.73 - lr: 0.100000
2023-04-05 11:52:19,913 epoch 76 - iter 56/280 - loss 0.02041120 - time (sec): 3.95 - samples/sec: 10793.65 - lr: 0.100000
2023-04-05 11:52:21,821 epoch 76 - iter 84/280 - loss 0.02021270 - time (sec): 5.85 - samples/sec: 10799.07 - lr: 0.100000
2023-04-05 11:52:23,776 epoch 76 - iter 112/280 - loss 0.02062628 - time (sec): 7.81 - samples/sec: 10791.17 - lr: 0.100000
2023-04-05 11:52:25,752 epoch 76 - iter 140/280 - loss 0.02060800 - time (sec): 9.79 - samples/sec: 10792.35 - lr: 0.100000
2023-04-05 11:52:27,762 epoch 76 - iter 168/280 - loss 0.02062550 - time (sec): 11.80 - samples/sec: 10779.58 - lr: 0.100000
2023-04-05 11:52:29,825 epoch 76 - iter 196/280 - loss 0.02044274 - time (sec): 13.86 - samples/sec: 10693.55 - lr: 0.100000
2023-04-05 11:52:31,860 epoch 76 - iter 224/280 - loss 0.02058202 - time (sec): 15.89 - samples/sec: 10676.97 - lr: 0.100000
2023-04-05 11:52:33,844 epoch 76 - iter 252/280 - loss 0.02050834 - time (sec): 17.88 - samples/sec: 10699.86 - lr: 0.100000
2023-04-05 11:52:35,786 epoch 76 - iter 280/280 - loss 0.02065733 - time (sec): 19.82 - samples/sec: 10680.96 - lr: 0.100000
2023-04-05 11:52:35,786 ----------------------------------------------------------------------------------------------------
2023-04-05 11:52:35,786 EPOCH 76 done: loss 0.0207 - lr 0.100000
2023-04-05 11:52:35,786 BAD EPOCHS (no improvement): 1
2023-04-05 11:52:35,789 ----------------------------------------------------------------------------------------------------
2023-04-05 11:52:37,656 epoch 77 - iter 28/280 - loss 0.01708299 - time (sec): 1.87 - samples/sec: 11328.85 - lr: 0.100000
2023-04-05 11:52:39,508 epoch 77 - iter 56/280 - loss 0.01835746 - time (sec): 3.72 - samples/sec: 11216.92 - lr: 0.100000
2023-04-05 11:52:41,457 epoch 77 - iter 84/280 - loss 0.01816650 - time (sec): 5.67 - samples/sec: 11046.04 - lr: 0.100000
2023-04-05 11:52:43,471 epoch 77 - iter 112/280 - loss 0.01800813 - time (sec): 7.68 - samples/sec: 11005.54 - lr: 0.100000
2023-04-05 11:52:45,481 epoch 77 - iter 140/280 - loss 0.01872334 - time (sec): 9.69 - samples/sec: 10905.81 - lr: 0.100000
2023-04-05 11:52:47,452 epoch 77 - iter 168/280 - loss 0.01877902 - time (sec): 11.66 - samples/sec: 10864.91 - lr: 0.100000
2023-04-05 11:52:49,467 epoch 77 - iter 196/280 - loss 0.01931188 - time (sec): 13.68 - samples/sec: 10831.79 - lr: 0.100000
2023-04-05 11:52:51,434 epoch 77 - iter 224/280 - loss 0.01892929 - time (sec): 15.65 - samples/sec: 10786.03 - lr: 0.100000
2023-04-05 11:52:53,477 epoch 77 - iter 252/280 - loss 0.01900827 - time (sec): 17.69 - samples/sec: 10753.37 - lr: 0.100000
2023-04-05 11:52:55,491 epoch 77 - iter 280/280 - loss 0.01923144 - time (sec): 19.70 - samples/sec: 10744.68 - lr: 0.100000
2023-04-05 11:52:55,491 ----------------------------------------------------------------------------------------------------
2023-04-05 11:52:55,491 EPOCH 77 done: loss 0.0192 - lr 0.100000
2023-04-05 11:52:55,491 BAD EPOCHS (no improvement): 0
2023-04-05 11:52:55,494 ----------------------------------------------------------------------------------------------------
2023-04-05 11:52:57,541 epoch 78 - iter 28/280 - loss 0.01864592 - time (sec): 2.05 - samples/sec: 10644.55 - lr: 0.100000
2023-04-05 11:52:59,641 epoch 78 - iter 56/280 - loss 0.01924173 - time (sec): 4.15 - samples/sec: 10454.88 - lr: 0.100000
2023-04-05 11:53:01,587 epoch 78 - iter 84/280 - loss 0.02014696 - time (sec): 6.09 - samples/sec: 10579.81 - lr: 0.100000
2023-04-05 11:53:03,600 epoch 78 - iter 112/280 - loss 0.02033438 - time (sec): 8.11 - samples/sec: 10532.85 - lr: 0.100000
2023-04-05 11:53:05,598 epoch 78 - iter 140/280 - loss 0.02047643 - time (sec): 10.10 - samples/sec: 10571.05 - lr: 0.100000
2023-04-05 11:53:07,574 epoch 78 - iter 168/280 - loss 0.02001348 - time (sec): 12.08 - samples/sec: 10600.97 - lr: 0.100000
2023-04-05 11:53:09,570 epoch 78 - iter 196/280 - loss 0.02019327 - time (sec): 14.08 - samples/sec: 10627.97 - lr: 0.100000
2023-04-05 11:53:11,491 epoch 78 - iter 224/280 - loss 0.02017045 - time (sec): 16.00 - samples/sec: 10672.50 - lr: 0.100000
2023-04-05 11:53:13,370 epoch 78 - iter 252/280 - loss 0.02035093 - time (sec): 17.88 - samples/sec: 10713.10 - lr: 0.100000
2023-04-05 11:53:15,225 epoch 78 - iter 280/280 - loss 0.02009911 - time (sec): 19.73 - samples/sec: 10728.89 - lr: 0.100000
2023-04-05 11:53:15,225 ----------------------------------------------------------------------------------------------------
2023-04-05 11:53:15,225 EPOCH 78 done: loss 0.0201 - lr 0.100000
2023-04-05 11:53:15,225 BAD EPOCHS (no improvement): 1
2023-04-05 11:53:15,228 ----------------------------------------------------------------------------------------------------
2023-04-05 11:53:17,114 epoch 79 - iter 28/280 - loss 0.01783447 - time (sec): 1.89 - samples/sec: 11037.25 - lr: 0.100000
2023-04-05 11:53:19,050 epoch 79 - iter 56/280 - loss 0.01858716 - time (sec): 3.82 - samples/sec: 11139.95 - lr: 0.100000
2023-04-05 11:53:20,983 epoch 79 - iter 84/280 - loss 0.01899187 - time (sec): 5.76 - samples/sec: 11028.72 - lr: 0.100000
2023-04-05 11:53:22,946 epoch 79 - iter 112/280 - loss 0.02012692 - time (sec): 7.72 - samples/sec: 10994.80 - lr: 0.100000
2023-04-05 11:53:24,883 epoch 79 - iter 140/280 - loss 0.02015825 - time (sec): 9.65 - samples/sec: 10985.12 - lr: 0.100000
2023-04-05 11:53:26,825 epoch 79 - iter 168/280 - loss 0.01938708 - time (sec): 11.60 - samples/sec: 10988.93 - lr: 0.100000
2023-04-05 11:53:28,716 epoch 79 - iter 196/280 - loss 0.01987789 - time (sec): 13.49 - samples/sec: 11028.83 - lr: 0.100000
2023-04-05 11:53:30,574 epoch 79 - iter 224/280 - loss 0.02005371 - time (sec): 15.35 - samples/sec: 11059.26 - lr: 0.100000
2023-04-05 11:53:32,493 epoch 79 - iter 252/280 - loss 0.01968046 - time (sec): 17.27 - samples/sec: 11074.23 - lr: 0.100000
2023-04-05 11:53:34,397 epoch 79 - iter 280/280 - loss 0.01984077 - time (sec): 19.17 - samples/sec: 11043.63 - lr: 0.100000
2023-04-05 11:53:34,397 ----------------------------------------------------------------------------------------------------
2023-04-05 11:53:34,397 EPOCH 79 done: loss 0.0198 - lr 0.100000
2023-04-05 11:53:34,397 BAD EPOCHS (no improvement): 2
2023-04-05 11:53:34,400 ----------------------------------------------------------------------------------------------------
2023-04-05 11:53:36,329 epoch 80 - iter 28/280 - loss 0.01788696 - time (sec): 1.93 - samples/sec: 10749.08 - lr: 0.100000
2023-04-05 11:53:38,120 epoch 80 - iter 56/280 - loss 0.01844709 - time (sec): 3.72 - samples/sec: 11228.81 - lr: 0.100000
2023-04-05 11:53:40,103 epoch 80 - iter 84/280 - loss 0.01779718 - time (sec): 5.70 - samples/sec: 11080.50 - lr: 0.100000
2023-04-05 11:53:42,022 epoch 80 - iter 112/280 - loss 0.01782455 - time (sec): 7.62 - samples/sec: 11099.74 - lr: 0.100000
2023-04-05 11:53:43,974 epoch 80 - iter 140/280 - loss 0.01820559 - time (sec): 9.57 - samples/sec: 11094.76 - lr: 0.100000
2023-04-05 11:53:45,867 epoch 80 - iter 168/280 - loss 0.01849651 - time (sec): 11.47 - samples/sec: 11123.55 - lr: 0.100000
2023-04-05 11:53:47,804 epoch 80 - iter 196/280 - loss 0.01958702 - time (sec): 13.40 - samples/sec: 11107.42 - lr: 0.100000
2023-04-05 11:53:49,709 epoch 80 - iter 224/280 - loss 0.01931824 - time (sec): 15.31 - samples/sec: 11118.66 - lr: 0.100000
2023-04-05 11:53:51,600 epoch 80 - iter 252/280 - loss 0.01955896 - time (sec): 17.20 - samples/sec: 11109.95 - lr: 0.100000
2023-04-05 11:53:53,469 epoch 80 - iter 280/280 - loss 0.01963729 - time (sec): 19.07 - samples/sec: 11101.09 - lr: 0.100000
2023-04-05 11:53:53,470 ----------------------------------------------------------------------------------------------------
2023-04-05 11:53:53,470 EPOCH 80 done: loss 0.0196 - lr 0.100000
2023-04-05 11:53:53,470 BAD EPOCHS (no improvement): 3
2023-04-05 11:53:53,473 ----------------------------------------------------------------------------------------------------
2023-04-05 11:53:55,432 epoch 81 - iter 28/280 - loss 0.01999609 - time (sec): 1.96 - samples/sec: 11004.59 - lr: 0.100000
2023-04-05 11:53:57,294 epoch 81 - iter 56/280 - loss 0.02234605 - time (sec): 3.82 - samples/sec: 11092.64 - lr: 0.100000
2023-04-05 11:53:59,227 epoch 81 - iter 84/280 - loss 0.02102149 - time (sec): 5.75 - samples/sec: 10995.46 - lr: 0.100000
2023-04-05 11:54:01,169 epoch 81 - iter 112/280 - loss 0.02068849 - time (sec): 7.70 - samples/sec: 10971.77 - lr: 0.100000
2023-04-05 11:54:04,572 epoch 81 - iter 140/280 - loss 0.02105535 - time (sec): 11.10 - samples/sec: 9548.58 - lr: 0.100000
2023-04-05 11:54:06,435 epoch 81 - iter 168/280 - loss 0.02063509 - time (sec): 12.96 - samples/sec: 9825.20 - lr: 0.100000
2023-04-05 11:54:08,354 epoch 81 - iter 196/280 - loss 0.02065726 - time (sec): 14.88 - samples/sec: 10000.69 - lr: 0.100000
2023-04-05 11:54:10,334 epoch 81 - iter 224/280 - loss 0.02047387 - time (sec): 16.86 - samples/sec: 10095.44 - lr: 0.100000
2023-04-05 11:54:12,256 epoch 81 - iter 252/280 - loss 0.02026883 - time (sec): 18.78 - samples/sec: 10198.90 - lr: 0.100000
2023-04-05 11:54:14,089 epoch 81 - iter 280/280 - loss 0.02002583 - time (sec): 20.62 - samples/sec: 10268.24 - lr: 0.100000
2023-04-05 11:54:14,089 ----------------------------------------------------------------------------------------------------
2023-04-05 11:54:14,089 EPOCH 81 done: loss 0.0200 - lr 0.100000
2023-04-05 11:54:14,089 Epoch 81: reducing learning rate of group 0 to 5.0000e-02.
2023-04-05 11:54:14,089 BAD EPOCHS (no improvement): 4
2023-04-05 11:54:14,092 ----------------------------------------------------------------------------------------------------
2023-04-05 11:54:15,965 epoch 82 - iter 28/280 - loss 0.01860981 - time (sec): 1.87 - samples/sec: 11077.36 - lr: 0.050000
2023-04-05 11:54:17,953 epoch 82 - iter 56/280 - loss 0.01974103 - time (sec): 3.86 - samples/sec: 10991.65 - lr: 0.050000
2023-04-05 11:54:19,875 epoch 82 - iter 84/280 - loss 0.01921790 - time (sec): 5.78 - samples/sec: 11036.31 - lr: 0.050000
2023-04-05 11:54:21,702 epoch 82 - iter 112/280 - loss 0.01860644 - time (sec): 7.61 - samples/sec: 11177.80 - lr: 0.050000
2023-04-05 11:54:23,609 epoch 82 - iter 140/280 - loss 0.01830974 - time (sec): 9.52 - samples/sec: 11121.33 - lr: 0.050000
2023-04-05 11:54:25,584 epoch 82 - iter 168/280 - loss 0.01827574 - time (sec): 11.49 - samples/sec: 11080.97 - lr: 0.050000
2023-04-05 11:54:27,617 epoch 82 - iter 196/280 - loss 0.01837247 - time (sec): 13.53 - samples/sec: 10995.59 - lr: 0.050000
2023-04-05 11:54:29,608 epoch 82 - iter 224/280 - loss 0.01842828 - time (sec): 15.52 - samples/sec: 10943.35 - lr: 0.050000
2023-04-05 11:54:31,584 epoch 82 - iter 252/280 - loss 0.01837193 - time (sec): 17.49 - samples/sec: 10924.48 - lr: 0.050000
2023-04-05 11:54:33,535 epoch 82 - iter 280/280 - loss 0.01856906 - time (sec): 19.44 - samples/sec: 10887.33 - lr: 0.050000
2023-04-05 11:54:33,536 ----------------------------------------------------------------------------------------------------
2023-04-05 11:54:33,536 EPOCH 82 done: loss 0.0186 - lr 0.050000
2023-04-05 11:54:33,536 BAD EPOCHS (no improvement): 0
2023-04-05 11:54:33,539 ----------------------------------------------------------------------------------------------------
2023-04-05 11:54:35,624 epoch 83 - iter 28/280 - loss 0.01842064 - time (sec): 2.08 - samples/sec: 10262.66 - lr: 0.050000
2023-04-05 11:54:37,549 epoch 83 - iter 56/280 - loss 0.01690092 - time (sec): 4.01 - samples/sec: 10608.83 - lr: 0.050000
2023-04-05 11:54:39,605 epoch 83 - iter 84/280 - loss 0.01784087 - time (sec): 6.07 - samples/sec: 10616.14 - lr: 0.050000
2023-04-05 11:54:41,630 epoch 83 - iter 112/280 - loss 0.01842300 - time (sec): 8.09 - samples/sec: 10629.69 - lr: 0.050000
2023-04-05 11:54:43,627 epoch 83 - iter 140/280 - loss 0.01803914 - time (sec): 10.09 - samples/sec: 10645.63 - lr: 0.050000
2023-04-05 11:54:45,683 epoch 83 - iter 168/280 - loss 0.01799391 - time (sec): 12.14 - samples/sec: 10605.06 - lr: 0.050000
2023-04-05 11:54:47,739 epoch 83 - iter 196/280 - loss 0.01789924 - time (sec): 14.20 - samples/sec: 10531.43 - lr: 0.050000
2023-04-05 11:54:49,630 epoch 83 - iter 224/280 - loss 0.01795461 - time (sec): 16.09 - samples/sec: 10572.30 - lr: 0.050000
2023-04-05 11:54:51,672 epoch 83 - iter 252/280 - loss 0.01752941 - time (sec): 18.13 - samples/sec: 10566.80 - lr: 0.050000
2023-04-05 11:54:53,560 epoch 83 - iter 280/280 - loss 0.01755867 - time (sec): 20.02 - samples/sec: 10573.69 - lr: 0.050000
2023-04-05 11:54:53,560 ----------------------------------------------------------------------------------------------------
2023-04-05 11:54:53,560 EPOCH 83 done: loss 0.0176 - lr 0.050000
2023-04-05 11:54:53,560 BAD EPOCHS (no improvement): 0
2023-04-05 11:54:53,563 ----------------------------------------------------------------------------------------------------
2023-04-05 11:54:55,540 epoch 84 - iter 28/280 - loss 0.01463967 - time (sec): 1.98 - samples/sec: 10708.68 - lr: 0.050000
2023-04-05 11:54:57,501 epoch 84 - iter 56/280 - loss 0.01594683 - time (sec): 3.94 - samples/sec: 10895.68 - lr: 0.050000
2023-04-05 11:54:59,447 epoch 84 - iter 84/280 - loss 0.01600441 - time (sec): 5.88 - samples/sec: 10835.67 - lr: 0.050000
2023-04-05 11:55:01,489 epoch 84 - iter 112/280 - loss 0.01638562 - time (sec): 7.93 - samples/sec: 10750.12 - lr: 0.050000
2023-04-05 11:55:03,395 epoch 84 - iter 140/280 - loss 0.01677881 - time (sec): 9.83 - samples/sec: 10776.07 - lr: 0.050000
2023-04-05 11:55:05,381 epoch 84 - iter 168/280 - loss 0.01656132 - time (sec): 11.82 - samples/sec: 10768.96 - lr: 0.050000
2023-04-05 11:55:07,372 epoch 84 - iter 196/280 - loss 0.01653145 - time (sec): 13.81 - samples/sec: 10755.67 - lr: 0.050000
2023-04-05 11:55:09,306 epoch 84 - iter 224/280 - loss 0.01648739 - time (sec): 15.74 - samples/sec: 10796.01 - lr: 0.050000
2023-04-05 11:55:11,285 epoch 84 - iter 252/280 - loss 0.01642549 - time (sec): 17.72 - samples/sec: 10797.73 - lr: 0.050000
2023-04-05 11:55:13,130 epoch 84 - iter 280/280 - loss 0.01655025 - time (sec): 19.57 - samples/sec: 10818.82 - lr: 0.050000
2023-04-05 11:55:13,130 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:13,130 EPOCH 84 done: loss 0.0166 - lr 0.050000
2023-04-05 11:55:13,130 BAD EPOCHS (no improvement): 0
2023-04-05 11:55:13,133 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:15,097 epoch 85 - iter 28/280 - loss 0.01594061 - time (sec): 1.96 - samples/sec: 10711.62 - lr: 0.050000
2023-04-05 11:55:17,013 epoch 85 - iter 56/280 - loss 0.01557143 - time (sec): 3.88 - samples/sec: 10768.49 - lr: 0.050000
2023-04-05 11:55:19,002 epoch 85 - iter 84/280 - loss 0.01557014 - time (sec): 5.87 - samples/sec: 10739.06 - lr: 0.050000
2023-04-05 11:55:20,962 epoch 85 - iter 112/280 - loss 0.01544992 - time (sec): 7.83 - samples/sec: 10722.08 - lr: 0.050000
2023-04-05 11:55:22,995 epoch 85 - iter 140/280 - loss 0.01610699 - time (sec): 9.86 - samples/sec: 10693.99 - lr: 0.050000
2023-04-05 11:55:24,944 epoch 85 - iter 168/280 - loss 0.01614985 - time (sec): 11.81 - samples/sec: 10721.61 - lr: 0.050000
2023-04-05 11:55:26,975 epoch 85 - iter 196/280 - loss 0.01637534 - time (sec): 13.84 - samples/sec: 10720.76 - lr: 0.050000
2023-04-05 11:55:28,962 epoch 85 - iter 224/280 - loss 0.01637429 - time (sec): 15.83 - samples/sec: 10718.18 - lr: 0.050000
2023-04-05 11:55:30,925 epoch 85 - iter 252/280 - loss 0.01640293 - time (sec): 17.79 - samples/sec: 10715.15 - lr: 0.050000
2023-04-05 11:55:32,870 epoch 85 - iter 280/280 - loss 0.01626972 - time (sec): 19.74 - samples/sec: 10725.72 - lr: 0.050000
2023-04-05 11:55:32,870 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:32,870 EPOCH 85 done: loss 0.0163 - lr 0.050000
2023-04-05 11:55:32,870 BAD EPOCHS (no improvement): 0
2023-04-05 11:55:32,873 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:34,740 epoch 86 - iter 28/280 - loss 0.01560746 - time (sec): 1.87 - samples/sec: 11305.00 - lr: 0.050000
2023-04-05 11:55:36,676 epoch 86 - iter 56/280 - loss 0.01594714 - time (sec): 3.80 - samples/sec: 10942.16 - lr: 0.050000
2023-04-05 11:55:38,736 epoch 86 - iter 84/280 - loss 0.01693447 - time (sec): 5.86 - samples/sec: 10861.55 - lr: 0.050000
2023-04-05 11:55:40,721 epoch 86 - iter 112/280 - loss 0.01679641 - time (sec): 7.85 - samples/sec: 10849.76 - lr: 0.050000
2023-04-05 11:55:42,693 epoch 86 - iter 140/280 - loss 0.01650936 - time (sec): 9.82 - samples/sec: 10780.19 - lr: 0.050000
2023-04-05 11:55:44,629 epoch 86 - iter 168/280 - loss 0.01615554 - time (sec): 11.76 - samples/sec: 10795.85 - lr: 0.050000
2023-04-05 11:55:46,514 epoch 86 - iter 196/280 - loss 0.01619688 - time (sec): 13.64 - samples/sec: 10826.39 - lr: 0.050000
2023-04-05 11:55:48,523 epoch 86 - iter 224/280 - loss 0.01624418 - time (sec): 15.65 - samples/sec: 10824.24 - lr: 0.050000
2023-04-05 11:55:50,515 epoch 86 - iter 252/280 - loss 0.01664642 - time (sec): 17.64 - samples/sec: 10821.70 - lr: 0.050000
2023-04-05 11:55:52,456 epoch 86 - iter 280/280 - loss 0.01670856 - time (sec): 19.58 - samples/sec: 10809.77 - lr: 0.050000
2023-04-05 11:55:52,456 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:52,457 EPOCH 86 done: loss 0.0167 - lr 0.050000
2023-04-05 11:55:52,457 BAD EPOCHS (no improvement): 1
2023-04-05 11:55:52,459 ----------------------------------------------------------------------------------------------------
2023-04-05 11:55:54,414 epoch 87 - iter 28/280 - loss 0.01526542 - time (sec): 1.95 - samples/sec: 11024.05 - lr: 0.050000
2023-04-05 11:55:56,338 epoch 87 - iter 56/280 - loss 0.01534677 - time (sec): 3.88 - samples/sec: 11112.07 - lr: 0.050000
2023-04-05 11:55:58,290 epoch 87 - iter 84/280 - loss 0.01460912 - time (sec): 5.83 - samples/sec: 11062.58 - lr: 0.050000
2023-04-05 11:56:00,190 epoch 87 - iter 112/280 - loss 0.01418288 - time (sec): 7.73 - samples/sec: 11012.47 - lr: 0.050000
2023-04-05 11:56:02,156 epoch 87 - iter 140/280 - loss 0.01427603 - time (sec): 9.70 - samples/sec: 10999.97 - lr: 0.050000
2023-04-05 11:56:04,018 epoch 87 - iter 168/280 - loss 0.01479369 - time (sec): 11.56 - samples/sec: 11039.29 - lr: 0.050000
2023-04-05 11:56:05,883 epoch 87 - iter 196/280 - loss 0.01478301 - time (sec): 13.42 - samples/sec: 11100.90 - lr: 0.050000
2023-04-05 11:56:07,688 epoch 87 - iter 224/280 - loss 0.01476124 - time (sec): 15.23 - samples/sec: 11158.32 - lr: 0.050000
2023-04-05 11:56:09,505 epoch 87 - iter 252/280 - loss 0.01498062 - time (sec): 17.05 - samples/sec: 11224.51 - lr: 0.050000
2023-04-05 11:56:11,310 epoch 87 - iter 280/280 - loss 0.01496752 - time (sec): 18.85 - samples/sec: 11229.54 - lr: 0.050000
2023-04-05 11:56:11,310 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:11,310 EPOCH 87 done: loss 0.0150 - lr 0.050000
2023-04-05 11:56:11,311 BAD EPOCHS (no improvement): 0
2023-04-05 11:56:11,313 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:13,188 epoch 88 - iter 28/280 - loss 0.01420705 - time (sec): 1.88 - samples/sec: 11137.37 - lr: 0.050000
2023-04-05 11:56:15,022 epoch 88 - iter 56/280 - loss 0.01550309 - time (sec): 3.71 - samples/sec: 11267.02 - lr: 0.050000
2023-04-05 11:56:16,917 epoch 88 - iter 84/280 - loss 0.01510743 - time (sec): 5.60 - samples/sec: 11261.87 - lr: 0.050000
2023-04-05 11:56:18,852 epoch 88 - iter 112/280 - loss 0.01540760 - time (sec): 7.54 - samples/sec: 11173.18 - lr: 0.050000
2023-04-05 11:56:20,825 epoch 88 - iter 140/280 - loss 0.01488094 - time (sec): 9.51 - samples/sec: 11110.78 - lr: 0.050000
2023-04-05 11:56:22,749 epoch 88 - iter 168/280 - loss 0.01474611 - time (sec): 11.44 - samples/sec: 11085.11 - lr: 0.050000
2023-04-05 11:56:24,677 epoch 88 - iter 196/280 - loss 0.01467050 - time (sec): 13.36 - samples/sec: 11070.49 - lr: 0.050000
2023-04-05 11:56:26,603 epoch 88 - iter 224/280 - loss 0.01460222 - time (sec): 15.29 - samples/sec: 11046.32 - lr: 0.050000
2023-04-05 11:56:28,539 epoch 88 - iter 252/280 - loss 0.01480295 - time (sec): 17.23 - samples/sec: 11043.20 - lr: 0.050000
2023-04-05 11:56:30,541 epoch 88 - iter 280/280 - loss 0.01480336 - time (sec): 19.23 - samples/sec: 11009.48 - lr: 0.050000
2023-04-05 11:56:30,541 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:30,541 EPOCH 88 done: loss 0.0148 - lr 0.050000
2023-04-05 11:56:30,541 BAD EPOCHS (no improvement): 0
2023-04-05 11:56:30,544 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:32,544 epoch 89 - iter 28/280 - loss 0.01797876 - time (sec): 2.00 - samples/sec: 10748.89 - lr: 0.050000
2023-04-05 11:56:34,510 epoch 89 - iter 56/280 - loss 0.01629157 - time (sec): 3.97 - samples/sec: 10779.99 - lr: 0.050000
2023-04-05 11:56:36,468 epoch 89 - iter 84/280 - loss 0.01545197 - time (sec): 5.92 - samples/sec: 10815.12 - lr: 0.050000
2023-04-05 11:56:38,498 epoch 89 - iter 112/280 - loss 0.01472171 - time (sec): 7.95 - samples/sec: 10766.30 - lr: 0.050000
2023-04-05 11:56:40,408 epoch 89 - iter 140/280 - loss 0.01415684 - time (sec): 9.86 - samples/sec: 10764.13 - lr: 0.050000
2023-04-05 11:56:42,350 epoch 89 - iter 168/280 - loss 0.01405974 - time (sec): 11.81 - samples/sec: 10787.01 - lr: 0.050000
2023-04-05 11:56:44,316 epoch 89 - iter 196/280 - loss 0.01411571 - time (sec): 13.77 - samples/sec: 10810.09 - lr: 0.050000
2023-04-05 11:56:46,335 epoch 89 - iter 224/280 - loss 0.01464182 - time (sec): 15.79 - samples/sec: 10783.34 - lr: 0.050000
2023-04-05 11:56:48,307 epoch 89 - iter 252/280 - loss 0.01457484 - time (sec): 17.76 - samples/sec: 10757.54 - lr: 0.050000
2023-04-05 11:56:50,240 epoch 89 - iter 280/280 - loss 0.01471727 - time (sec): 19.70 - samples/sec: 10748.03 - lr: 0.050000
2023-04-05 11:56:50,241 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:50,241 EPOCH 89 done: loss 0.0147 - lr 0.050000
2023-04-05 11:56:50,241 BAD EPOCHS (no improvement): 0
2023-04-05 11:56:50,243 ----------------------------------------------------------------------------------------------------
2023-04-05 11:56:52,201 epoch 90 - iter 28/280 - loss 0.01639187 - time (sec): 1.96 - samples/sec: 10840.92 - lr: 0.050000
2023-04-05 11:56:54,245 epoch 90 - iter 56/280 - loss 0.01439273 - time (sec): 4.00 - samples/sec: 10726.45 - lr: 0.050000
2023-04-05 11:56:56,222 epoch 90 - iter 84/280 - loss 0.01506792 - time (sec): 5.98 - samples/sec: 10778.77 - lr: 0.050000
2023-04-05 11:56:58,189 epoch 90 - iter 112/280 - loss 0.01557248 - time (sec): 7.95 - samples/sec: 10781.41 - lr: 0.050000
2023-04-05 11:57:00,145 epoch 90 - iter 140/280 - loss 0.01486076 - time (sec): 9.90 - samples/sec: 10756.30 - lr: 0.050000
2023-04-05 11:57:02,081 epoch 90 - iter 168/280 - loss 0.01478498 - time (sec): 11.84 - samples/sec: 10775.50 - lr: 0.050000
2023-04-05 11:57:04,042 epoch 90 - iter 196/280 - loss 0.01510865 - time (sec): 13.80 - samples/sec: 10783.04 - lr: 0.050000
2023-04-05 11:57:05,994 epoch 90 - iter 224/280 - loss 0.01506781 - time (sec): 15.75 - samples/sec: 10800.62 - lr: 0.050000
2023-04-05 11:57:07,960 epoch 90 - iter 252/280 - loss 0.01507409 - time (sec): 17.72 - samples/sec: 10790.03 - lr: 0.050000
2023-04-05 11:57:09,918 epoch 90 - iter 280/280 - loss 0.01503079 - time (sec): 19.67 - samples/sec: 10759.71 - lr: 0.050000
2023-04-05 11:57:09,918 ----------------------------------------------------------------------------------------------------
2023-04-05 11:57:09,918 EPOCH 90 done: loss 0.0150 - lr 0.050000
2023-04-05 11:57:09,918 BAD EPOCHS (no improvement): 1
2023-04-05 11:57:09,921 ----------------------------------------------------------------------------------------------------
2023-04-05 11:57:11,910 epoch 91 - iter 28/280 - loss 0.01545410 - time (sec): 1.99 - samples/sec: 10541.42 - lr: 0.050000
2023-04-05 11:57:13,946 epoch 91 - iter 56/280 - loss 0.01494736 - time (sec): 4.02 - samples/sec: 10595.56 - lr: 0.050000
2023-04-05 11:57:15,829 epoch 91 - iter 84/280 - loss 0.01527115 - time (sec): 5.91 - samples/sec: 10722.58 - lr: 0.050000
2023-04-05 11:57:17,778 epoch 91 - iter 112/280 - loss 0.01516962 - time (sec): 7.86 - samples/sec: 10783.11 - lr: 0.050000
2023-04-05 11:57:19,786 epoch 91 - iter 140/280 - loss 0.01508720 - time (sec): 9.87 - samples/sec: 10710.04 - lr: 0.050000
2023-04-05 11:57:21,664 epoch 91 - iter 168/280 - loss 0.01472600 - time (sec): 11.74 - samples/sec: 10774.53 - lr: 0.050000
2023-04-05 11:57:23,631 epoch 91 - iter 196/280 - loss 0.01473321 - time (sec): 13.71 - samples/sec: 10800.70 - lr: 0.050000
2023-04-05 11:57:25,573 epoch 91 - iter 224/280 - loss 0.01502994 - time (sec): 15.65 - samples/sec: 10806.61 - lr: 0.050000
2023-04-05 11:57:27,667 epoch 91 - iter 252/280 - loss 0.01507856 - time (sec): 17.75 - samples/sec: 10752.31 - lr: 0.050000
2023-04-05 11:57:29,590 epoch 91 - iter 280/280 - loss 0.01523840 - time (sec): 19.67 - samples/sec: 10762.66 - lr: 0.050000
2023-04-05 11:57:29,591 ----------------------------------------------------------------------------------------------------
2023-04-05 11:57:29,591 EPOCH 91 done: loss 0.0152 - lr 0.050000
2023-04-05 11:57:29,591 BAD EPOCHS (no improvement): 2
2023-04-05 11:57:29,593 ----------------------------------------------------------------------------------------------------
2023-04-05 11:57:31,543 epoch 92 - iter 28/280 - loss 0.01484371 - time (sec): 1.95 - samples/sec: 10930.48 - lr: 0.050000
2023-04-05 11:57:33,482 epoch 92 - iter 56/280 - loss 0.01573479 - time (sec): 3.89 - samples/sec: 10983.19 - lr: 0.050000
2023-04-05 11:57:35,398 epoch 92 - iter 84/280 - loss 0.01527193 - time (sec): 5.80 - samples/sec: 10991.00 - lr: 0.050000
2023-04-05 11:57:37,293 epoch 92 - iter 112/280 - loss 0.01465186 - time (sec): 7.70 - samples/sec: 10931.73 - lr: 0.050000
2023-04-05 11:57:39,311 epoch 92 - iter 140/280 - loss 0.01509237 - time (sec): 9.72 - samples/sec: 10850.88 - lr: 0.050000
2023-04-05 11:57:41,291 epoch 92 - iter 168/280 - loss 0.01495476 - time (sec): 11.70 - samples/sec: 10842.87 - lr: 0.050000
2023-04-05 11:57:43,263 epoch 92 - iter 196/280 - loss 0.01502795 - time (sec): 13.67 - samples/sec: 10866.17 - lr: 0.050000
2023-04-05 11:57:45,210 epoch 92 - iter 224/280 - loss 0.01485677 - time (sec): 15.62 - samples/sec: 10888.76 - lr: 0.050000
2023-04-05 11:57:47,185 epoch 92 - iter 252/280 - loss 0.01480522 - time (sec): 17.59 - samples/sec: 10861.36 - lr: 0.050000
2023-04-05 11:57:49,044 epoch 92 - iter 280/280 - loss 0.01521416 - time (sec): 19.45 - samples/sec: 10883.50 - lr: 0.050000
2023-04-05 11:57:49,044 ----------------------------------------------------------------------------------------------------
2023-04-05 11:57:49,044 EPOCH 92 done: loss 0.0152 - lr 0.050000
2023-04-05 11:57:49,045 BAD EPOCHS (no improvement): 3
2023-04-05 11:57:49,047 ----------------------------------------------------------------------------------------------------
2023-04-05 11:57:50,913 epoch 93 - iter 28/280 - loss 0.01198411 - time (sec): 1.87 - samples/sec: 11271.93 - lr: 0.050000
2023-04-05 11:57:52,826 epoch 93 - iter 56/280 - loss 0.01311257 - time (sec): 3.78 - samples/sec: 11258.88 - lr: 0.050000
2023-04-05 11:57:54,656 epoch 93 - iter 84/280 - loss 0.01376303 - time (sec): 5.61 - samples/sec: 11374.13 - lr: 0.050000
2023-04-05 11:57:56,552 epoch 93 - iter 112/280 - loss 0.01393217 - time (sec): 7.51 - samples/sec: 11336.61 - lr: 0.050000
2023-04-05 11:57:58,438 epoch 93 - iter 140/280 - loss 0.01453267 - time (sec): 9.39 - samples/sec: 11292.28 - lr: 0.050000
2023-04-05 11:58:00,413 epoch 93 - iter 168/280 - loss 0.01456068 - time (sec): 11.37 - samples/sec: 11197.02 - lr: 0.050000
2023-04-05 11:58:02,342 epoch 93 - iter 196/280 - loss 0.01474101 - time (sec): 13.29 - samples/sec: 11154.83 - lr: 0.050000
2023-04-05 11:58:04,199 epoch 93 - iter 224/280 - loss 0.01502533 - time (sec): 15.15 - samples/sec: 11195.78 - lr: 0.050000
2023-04-05 11:58:06,042 epoch 93 - iter 252/280 - loss 0.01511770 - time (sec): 16.99 - samples/sec: 11222.52 - lr: 0.050000
2023-04-05 11:58:07,915 epoch 93 - iter 280/280 - loss 0.01525482 - time (sec): 18.87 - samples/sec: 11220.00 - lr: 0.050000
2023-04-05 11:58:07,915 ----------------------------------------------------------------------------------------------------
2023-04-05 11:58:07,915 EPOCH 93 done: loss 0.0153 - lr 0.050000
2023-04-05 11:58:07,915 Epoch 93: reducing learning rate of group 0 to 2.5000e-02.
2023-04-05 11:58:07,915 BAD EPOCHS (no improvement): 4
2023-04-05 11:58:07,917 ----------------------------------------------------------------------------------------------------
2023-04-05 11:58:09,867 epoch 94 - iter 28/280 - loss 0.01152935 - time (sec): 1.95 - samples/sec: 10934.11 - lr: 0.025000
2023-04-05 11:58:11,771 epoch 94 - iter 56/280 - loss 0.01260573 - time (sec): 3.85 - samples/sec: 10933.71 - lr: 0.025000
2023-04-05 11:58:13,657 epoch 94 - iter 84/280 - loss 0.01333640 - time (sec): 5.74 - samples/sec: 11040.50 - lr: 0.025000
2023-04-05 11:58:15,549 epoch 94 - iter 112/280 - loss 0.01282413 - time (sec): 7.63 - samples/sec: 11117.60 - lr: 0.025000
2023-04-05 11:58:17,347 epoch 94 - iter 140/280 - loss 0.01297793 - time (sec): 9.43 - samples/sec: 11212.54 - lr: 0.025000
2023-04-05 11:58:19,191 epoch 94 - iter 168/280 - loss 0.01303816 - time (sec): 11.27 - samples/sec: 11264.98 - lr: 0.025000
2023-04-05 11:58:21,055 epoch 94 - iter 196/280 - loss 0.01326301 - time (sec): 13.14 - samples/sec: 11299.05 - lr: 0.025000
2023-04-05 11:58:22,991 epoch 94 - iter 224/280 - loss 0.01367185 - time (sec): 15.07 - samples/sec: 11277.29 - lr: 0.025000
2023-04-05 11:58:24,881 epoch 94 - iter 252/280 - loss 0.01370797 - time (sec): 16.96 - samples/sec: 11266.85 - lr: 0.025000
2023-04-05 11:58:26,725 epoch 94 - iter 280/280 - loss 0.01350361 - time (sec): 18.81 - samples/sec: 11255.38 - lr: 0.025000
2023-04-05 11:58:26,726 ----------------------------------------------------------------------------------------------------
2023-04-05 11:58:26,726 EPOCH 94 done: loss 0.0135 - lr 0.025000
2023-04-05 11:58:26,726 BAD EPOCHS (no improvement): 0
2023-04-05 11:58:26,729 ----------------------------------------------------------------------------------------------------
2023-04-05 11:58:28,651 epoch 95 - iter 28/280 - loss 0.01333991 - time (sec): 1.92 - samples/sec: 11174.31 - lr: 0.025000
2023-04-05 11:58:30,517 epoch 95 - iter 56/280 - loss 0.01371795 - time (sec): 3.79 - samples/sec: 11189.97 - lr: 0.025000
2023-04-05 11:58:32,365 epoch 95 - iter 84/280 - loss 0.01394390 - time (sec): 5.64 - samples/sec: 11316.15 - lr: 0.025000
2023-04-05 11:58:34,261 epoch 95 - iter 112/280 - loss 0.01372520 - time (sec): 7.53 - samples/sec: 11331.88 - lr: 0.025000
2023-04-05 11:58:36,106 epoch 95 - iter 140/280 - loss 0.01357480 - time (sec): 9.38 - samples/sec: 11350.16 - lr: 0.025000
2023-04-05 11:58:37,884 epoch 95 - iter 168/280 - loss 0.01370638 - time (sec): 11.16 - samples/sec: 11384.27 - lr: 0.025000
2023-04-05 11:58:39,810 epoch 95 - iter 196/280 - loss 0.01359010 - time (sec): 13.08 - samples/sec: 11363.40 - lr: 0.025000
2023-04-05 11:58:41,746 epoch 95 - iter 224/280 - loss 0.01379960 - time (sec): 15.02 - samples/sec: 11325.32 - lr: 0.025000
2023-04-05 11:58:43,663 epoch 95 - iter 252/280 - loss 0.01394541 - time (sec): 16.93 - samples/sec: 11283.73 - lr: 0.025000
2023-04-05 11:58:45,557 epoch 95 - iter 280/280 - loss 0.01404544 - time (sec): 18.83 - samples/sec: 11243.30 - lr: 0.025000
2023-04-05 11:58:45,557 ----------------------------------------------------------------------------------------------------
2023-04-05 11:58:45,557 EPOCH 95 done: loss 0.0140 - lr 0.025000
2023-04-05 11:58:45,557 BAD EPOCHS (no improvement): 1
2023-04-05 11:58:45,560 ----------------------------------------------------------------------------------------------------
2023-04-05 11:58:47,485 epoch 96 - iter 28/280 - loss 0.01093249 - time (sec): 1.92 - samples/sec: 11007.12 - lr: 0.025000
2023-04-05 11:58:49,362 epoch 96 - iter 56/280 - loss 0.01288285 - time (sec): 3.80 - samples/sec: 11085.50 - lr: 0.025000
2023-04-05 11:58:51,221 epoch 96 - iter 84/280 - loss 0.01249340 - time (sec): 5.66 - samples/sec: 11153.55 - lr: 0.025000
2023-04-05 11:58:53,066 epoch 96 - iter 112/280 - loss 0.01254522 - time (sec): 7.51 - samples/sec: 11226.66 - lr: 0.025000
2023-04-05 11:58:54,946 epoch 96 - iter 140/280 - loss 0.01274062 - time (sec): 9.39 - samples/sec: 11259.23 - lr: 0.025000
2023-04-05 11:58:56,853 epoch 96 - iter 168/280 - loss 0.01297879 - time (sec): 11.29 - samples/sec: 11251.11 - lr: 0.025000
2023-04-05 11:58:58,748 epoch 96 - iter 196/280 - loss 0.01343345 - time (sec): 13.19 - samples/sec: 11268.37 - lr: 0.025000
2023-04-05 11:59:00,616 epoch 96 - iter 224/280 - loss 0.01345790 - time (sec): 15.06 - samples/sec: 11284.82 - lr: 0.025000
2023-04-05 11:59:02,505 epoch 96 - iter 252/280 - loss 0.01328369 - time (sec): 16.95 - samples/sec: 11261.90 - lr: 0.025000
2023-04-05 11:59:04,423 epoch 96 - iter 280/280 - loss 0.01317795 - time (sec): 18.86 - samples/sec: 11222.67 - lr: 0.025000
2023-04-05 11:59:04,423 ----------------------------------------------------------------------------------------------------
2023-04-05 11:59:04,423 EPOCH 96 done: loss 0.0132 - lr 0.025000
2023-04-05 11:59:04,423 BAD EPOCHS (no improvement): 0
2023-04-05 11:59:04,426 ----------------------------------------------------------------------------------------------------
2023-04-05 11:59:06,265 epoch 97 - iter 28/280 - loss 0.01330318 - time (sec): 1.84 - samples/sec: 11575.41 - lr: 0.025000
2023-04-05 11:59:08,164 epoch 97 - iter 56/280 - loss 0.01407034 - time (sec): 3.74 - samples/sec: 11318.57 - lr: 0.025000
2023-04-05 11:59:10,020 epoch 97 - iter 84/280 - loss 0.01411762 - time (sec): 5.59 - samples/sec: 11340.86 - lr: 0.025000
2023-04-05 11:59:11,913 epoch 97 - iter 112/280 - loss 0.01408308 - time (sec): 7.49 - samples/sec: 11333.11 - lr: 0.025000
2023-04-05 11:59:13,823 epoch 97 - iter 140/280 - loss 0.01385214 - time (sec): 9.40 - samples/sec: 11323.61 - lr: 0.025000
2023-04-05 11:59:15,692 epoch 97 - iter 168/280 - loss 0.01382052 - time (sec): 11.27 - samples/sec: 11309.38 - lr: 0.025000
2023-04-05 11:59:17,579 epoch 97 - iter 196/280 - loss 0.01370190 - time (sec): 13.15 - samples/sec: 11286.36 - lr: 0.025000
2023-04-05 11:59:19,483 epoch 97 - iter 224/280 - loss 0.01343923 - time (sec): 15.06 - samples/sec: 11259.86 - lr: 0.025000
2023-04-05 11:59:21,324 epoch 97 - iter 252/280 - loss 0.01328980 - time (sec): 16.90 - samples/sec: 11300.17 - lr: 0.025000
2023-04-05 11:59:23,212 epoch 97 - iter 280/280 - loss 0.01327418 - time (sec): 18.79 - samples/sec: 11268.46 - lr: 0.025000
2023-04-05 11:59:23,212 ----------------------------------------------------------------------------------------------------
2023-04-05 11:59:23,212 EPOCH 97 done: loss 0.0133 - lr 0.025000
2023-04-05 11:59:23,213 BAD EPOCHS (no improvement): 1
2023-04-05 11:59:23,218 ----------------------------------------------------------------------------------------------------
2023-04-05 11:59:25,046 epoch 98 - iter 28/280 - loss 0.01357833 - time (sec): 1.83 - samples/sec: 11420.87 - lr: 0.025000
2023-04-05 11:59:26,905 epoch 98 - iter 56/280 - loss 0.01228311 - time (sec): 3.69 - samples/sec: 11355.57 - lr: 0.025000
2023-04-05 11:59:28,803 epoch 98 - iter 84/280 - loss 0.01301699 - time (sec): 5.59 - samples/sec: 11322.19 - lr: 0.025000
2023-04-05 11:59:30,693 epoch 98 - iter 112/280 - loss 0.01352615 - time (sec): 7.48 - samples/sec: 11312.11 - lr: 0.025000
2023-04-05 11:59:32,541 epoch 98 - iter 140/280 - loss 0.01315249 - time (sec): 9.32 - samples/sec: 11308.89 - lr: 0.025000
2023-04-05 11:59:34,398 epoch 98 - iter 168/280 - loss 0.01308830 - time (sec): 11.18 - samples/sec: 11351.06 - lr: 0.025000
2023-04-05 11:59:36,281 epoch 98 - iter 196/280 - loss 0.01339365 - time (sec): 13.06 - samples/sec: 11348.20 - lr: 0.025000
2023-04-05 11:59:38,107 epoch 98 - iter 224/280 - loss 0.01310229 - time (sec): 14.89 - samples/sec: 11392.91 - lr: 0.025000
2023-04-05 11:59:40,030 epoch 98 - iter 252/280 - loss 0.01302237 - time (sec): 16.81 - samples/sec: 11360.19 - lr: 0.025000
2023-04-05 11:59:41,885 epoch 98 - iter 280/280 - loss 0.01313041 - time (sec): 18.67 - samples/sec: 11340.59 - lr: 0.025000
2023-04-05 11:59:41,885 ----------------------------------------------------------------------------------------------------
2023-04-05 11:59:41,885 EPOCH 98 done: loss 0.0131 - lr 0.025000
2023-04-05 11:59:41,885 BAD EPOCHS (no improvement): 0
2023-04-05 11:59:41,888 ----------------------------------------------------------------------------------------------------
2023-04-05 11:59:43,880 epoch 99 - iter 28/280 - loss 0.01176522 - time (sec): 1.99 - samples/sec: 10856.36 - lr: 0.025000
2023-04-05 11:59:45,761 epoch 99 - iter 56/280 - loss 0.01315236 - time (sec): 3.87 - samples/sec: 11139.64 - lr: 0.025000
2023-04-05 11:59:47,624 epoch 99 - iter 84/280 - loss 0.01235075 - time (sec): 5.74 - samples/sec: 11247.26 - lr: 0.025000
2023-04-05 11:59:49,515 epoch 99 - iter 112/280 - loss 0.01212767 - time (sec): 7.63 - samples/sec: 11259.55 - lr: 0.025000
2023-04-05 11:59:51,353 epoch 99 - iter 140/280 - loss 0.01228047 - time (sec): 9.47 - samples/sec: 11299.51 - lr: 0.025000
2023-04-05 11:59:53,274 epoch 99 - iter 168/280 - loss 0.01242161 - time (sec): 11.39 - samples/sec: 11274.86 - lr: 0.025000
2023-04-05 11:59:55,189 epoch 99 - iter 196/280 - loss 0.01266913 - time (sec): 13.30 - samples/sec: 11248.91 - lr: 0.025000
2023-04-05 11:59:56,965 epoch 99 - iter 224/280 - loss 0.01254593 - time (sec): 15.08 - samples/sec: 11301.78 - lr: 0.025000
2023-04-05 11:59:58,855 epoch 99 - iter 252/280 - loss 0.01243269 - time (sec): 16.97 - samples/sec: 11271.37 - lr: 0.025000
2023-04-05 12:00:00,671 epoch 99 - iter 280/280 - loss 0.01232332 - time (sec): 18.78 - samples/sec: 11270.19 - lr: 0.025000
2023-04-05 12:00:00,671 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:00,671 EPOCH 99 done: loss 0.0123 - lr 0.025000
2023-04-05 12:00:00,671 BAD EPOCHS (no improvement): 0
2023-04-05 12:00:00,674 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:02,532 epoch 100 - iter 28/280 - loss 0.01143486 - time (sec): 1.86 - samples/sec: 11545.19 - lr: 0.025000
2023-04-05 12:00:04,338 epoch 100 - iter 56/280 - loss 0.01152210 - time (sec): 3.66 - samples/sec: 11645.44 - lr: 0.025000
2023-04-05 12:00:06,075 epoch 100 - iter 84/280 - loss 0.01132415 - time (sec): 5.40 - samples/sec: 11682.82 - lr: 0.025000
2023-04-05 12:00:07,898 epoch 100 - iter 112/280 - loss 0.01208818 - time (sec): 7.22 - samples/sec: 11643.74 - lr: 0.025000
2023-04-05 12:00:09,729 epoch 100 - iter 140/280 - loss 0.01216301 - time (sec): 9.06 - samples/sec: 11663.72 - lr: 0.025000
2023-04-05 12:00:11,524 epoch 100 - iter 168/280 - loss 0.01227385 - time (sec): 10.85 - samples/sec: 11689.04 - lr: 0.025000
2023-04-05 12:00:13,346 epoch 100 - iter 196/280 - loss 0.01225736 - time (sec): 12.67 - samples/sec: 11694.77 - lr: 0.025000
2023-04-05 12:00:15,216 epoch 100 - iter 224/280 - loss 0.01244240 - time (sec): 14.54 - samples/sec: 11652.84 - lr: 0.025000
2023-04-05 12:00:17,039 epoch 100 - iter 252/280 - loss 0.01243366 - time (sec): 16.36 - samples/sec: 11649.45 - lr: 0.025000
2023-04-05 12:00:18,857 epoch 100 - iter 280/280 - loss 0.01273108 - time (sec): 18.18 - samples/sec: 11642.16 - lr: 0.025000
2023-04-05 12:00:18,857 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:18,857 EPOCH 100 done: loss 0.0127 - lr 0.025000
2023-04-05 12:00:18,857 BAD EPOCHS (no improvement): 1
2023-04-05 12:00:18,860 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:20,726 epoch 101 - iter 28/280 - loss 0.01064416 - time (sec): 1.87 - samples/sec: 11505.15 - lr: 0.025000
2023-04-05 12:00:22,561 epoch 101 - iter 56/280 - loss 0.01216237 - time (sec): 3.70 - samples/sec: 11553.91 - lr: 0.025000
2023-04-05 12:00:24,399 epoch 101 - iter 84/280 - loss 0.01223580 - time (sec): 5.54 - samples/sec: 11592.08 - lr: 0.025000
2023-04-05 12:00:26,214 epoch 101 - iter 112/280 - loss 0.01261770 - time (sec): 7.35 - samples/sec: 11645.73 - lr: 0.025000
2023-04-05 12:00:28,062 epoch 101 - iter 140/280 - loss 0.01236011 - time (sec): 9.20 - samples/sec: 11589.76 - lr: 0.025000
2023-04-05 12:00:29,927 epoch 101 - iter 168/280 - loss 0.01186516 - time (sec): 11.07 - samples/sec: 11567.81 - lr: 0.025000
2023-04-05 12:00:31,731 epoch 101 - iter 196/280 - loss 0.01207753 - time (sec): 12.87 - samples/sec: 11571.43 - lr: 0.025000
2023-04-05 12:00:33,524 epoch 101 - iter 224/280 - loss 0.01211180 - time (sec): 14.66 - samples/sec: 11589.93 - lr: 0.025000
2023-04-05 12:00:35,330 epoch 101 - iter 252/280 - loss 0.01234716 - time (sec): 16.47 - samples/sec: 11601.29 - lr: 0.025000
2023-04-05 12:00:37,148 epoch 101 - iter 280/280 - loss 0.01246501 - time (sec): 18.29 - samples/sec: 11575.50 - lr: 0.025000
2023-04-05 12:00:37,148 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:37,148 EPOCH 101 done: loss 0.0125 - lr 0.025000
2023-04-05 12:00:37,148 BAD EPOCHS (no improvement): 2
2023-04-05 12:00:37,150 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:38,907 epoch 102 - iter 28/280 - loss 0.01175589 - time (sec): 1.76 - samples/sec: 11839.45 - lr: 0.025000
2023-04-05 12:00:40,738 epoch 102 - iter 56/280 - loss 0.01227038 - time (sec): 3.59 - samples/sec: 11906.64 - lr: 0.025000
2023-04-05 12:00:42,542 epoch 102 - iter 84/280 - loss 0.01149028 - time (sec): 5.39 - samples/sec: 11840.73 - lr: 0.025000
2023-04-05 12:00:44,382 epoch 102 - iter 112/280 - loss 0.01199075 - time (sec): 7.23 - samples/sec: 11806.54 - lr: 0.025000
2023-04-05 12:00:46,169 epoch 102 - iter 140/280 - loss 0.01196033 - time (sec): 9.02 - samples/sec: 11829.64 - lr: 0.025000
2023-04-05 12:00:47,998 epoch 102 - iter 168/280 - loss 0.01231761 - time (sec): 10.85 - samples/sec: 11816.82 - lr: 0.025000
2023-04-05 12:00:49,848 epoch 102 - iter 196/280 - loss 0.01233558 - time (sec): 12.70 - samples/sec: 11737.45 - lr: 0.025000
2023-04-05 12:00:51,696 epoch 102 - iter 224/280 - loss 0.01242845 - time (sec): 14.55 - samples/sec: 11704.63 - lr: 0.025000
2023-04-05 12:00:53,499 epoch 102 - iter 252/280 - loss 0.01275479 - time (sec): 16.35 - samples/sec: 11674.27 - lr: 0.025000
2023-04-05 12:00:55,317 epoch 102 - iter 280/280 - loss 0.01253303 - time (sec): 18.17 - samples/sec: 11653.01 - lr: 0.025000
2023-04-05 12:00:55,317 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:55,317 EPOCH 102 done: loss 0.0125 - lr 0.025000
2023-04-05 12:00:55,317 BAD EPOCHS (no improvement): 3
2023-04-05 12:00:55,319 ----------------------------------------------------------------------------------------------------
2023-04-05 12:00:57,196 epoch 103 - iter 28/280 - loss 0.01312249 - time (sec): 1.88 - samples/sec: 11709.39 - lr: 0.025000
2023-04-05 12:00:58,987 epoch 103 - iter 56/280 - loss 0.01392855 - time (sec): 3.67 - samples/sec: 11736.36 - lr: 0.025000
2023-04-05 12:01:00,816 epoch 103 - iter 84/280 - loss 0.01279326 - time (sec): 5.50 - samples/sec: 11721.00 - lr: 0.025000
2023-04-05 12:01:02,626 epoch 103 - iter 112/280 - loss 0.01272329 - time (sec): 7.31 - samples/sec: 11726.97 - lr: 0.025000
2023-04-05 12:01:04,446 epoch 103 - iter 140/280 - loss 0.01266934 - time (sec): 9.13 - samples/sec: 11702.48 - lr: 0.025000
2023-04-05 12:01:06,268 epoch 103 - iter 168/280 - loss 0.01252231 - time (sec): 10.95 - samples/sec: 11701.97 - lr: 0.025000
2023-04-05 12:01:08,054 epoch 103 - iter 196/280 - loss 0.01260058 - time (sec): 12.73 - samples/sec: 11727.38 - lr: 0.025000
2023-04-05 12:01:09,852 epoch 103 - iter 224/280 - loss 0.01247411 - time (sec): 14.53 - samples/sec: 11735.64 - lr: 0.025000
2023-04-05 12:01:11,633 epoch 103 - iter 252/280 - loss 0.01245813 - time (sec): 16.31 - samples/sec: 11710.52 - lr: 0.025000
2023-04-05 12:01:13,363 epoch 103 - iter 280/280 - loss 0.01242916 - time (sec): 18.04 - samples/sec: 11731.72 - lr: 0.025000
2023-04-05 12:01:13,364 ----------------------------------------------------------------------------------------------------
2023-04-05 12:01:13,364 EPOCH 103 done: loss 0.0124 - lr 0.025000
2023-04-05 12:01:13,364 Epoch 103: reducing learning rate of group 0 to 1.2500e-02.
2023-04-05 12:01:13,364 BAD EPOCHS (no improvement): 4
2023-04-05 12:01:13,367 ----------------------------------------------------------------------------------------------------
2023-04-05 12:01:15,219 epoch 104 - iter 28/280 - loss 0.01325120 - time (sec): 1.85 - samples/sec: 11664.70 - lr: 0.012500
2023-04-05 12:01:16,990 epoch 104 - iter 56/280 - loss 0.01314208 - time (sec): 3.62 - samples/sec: 11896.00 - lr: 0.012500
2023-04-05 12:01:18,736 epoch 104 - iter 84/280 - loss 0.01341299 - time (sec): 5.37 - samples/sec: 11952.69 - lr: 0.012500
2023-04-05 12:01:20,566 epoch 104 - iter 112/280 - loss 0.01338248 - time (sec): 7.20 - samples/sec: 11862.63 - lr: 0.012500
2023-04-05 12:01:23,736 epoch 104 - iter 140/280 - loss 0.01333953 - time (sec): 10.37 - samples/sec: 10305.11 - lr: 0.012500
2023-04-05 12:01:25,519 epoch 104 - iter 168/280 - loss 0.01330268 - time (sec): 12.15 - samples/sec: 10544.37 - lr: 0.012500
2023-04-05 12:01:27,325 epoch 104 - iter 196/280 - loss 0.01334608 - time (sec): 13.96 - samples/sec: 10707.07 - lr: 0.012500
2023-04-05 12:01:29,127 epoch 104 - iter 224/280 - loss 0.01333539 - time (sec): 15.76 - samples/sec: 10811.34 - lr: 0.012500
2023-04-05 12:01:30,920 epoch 104 - iter 252/280 - loss 0.01331231 - time (sec): 17.55 - samples/sec: 10890.04 - lr: 0.012500
2023-04-05 12:01:32,684 epoch 104 - iter 280/280 - loss 0.01321725 - time (sec): 19.32 - samples/sec: 10959.28 - lr: 0.012500
2023-04-05 12:01:32,684 ----------------------------------------------------------------------------------------------------
2023-04-05 12:01:32,684 EPOCH 104 done: loss 0.0132 - lr 0.012500
2023-04-05 12:01:32,684 BAD EPOCHS (no improvement): 1
2023-04-05 12:01:32,688 ----------------------------------------------------------------------------------------------------
2023-04-05 12:01:34,470 epoch 105 - iter 28/280 - loss 0.01184693 - time (sec): 1.78 - samples/sec: 11911.85 - lr: 0.012500
2023-04-05 12:01:36,318 epoch 105 - iter 56/280 - loss 0.01250167 - time (sec): 3.63 - samples/sec: 11722.62 - lr: 0.012500
2023-04-05 12:01:38,114 epoch 105 - iter 84/280 - loss 0.01274954 - time (sec): 5.43 - samples/sec: 11721.60 - lr: 0.012500
2023-04-05 12:01:39,879 epoch 105 - iter 112/280 - loss 0.01257985 - time (sec): 7.19 - samples/sec: 11736.39 - lr: 0.012500
2023-04-05 12:01:41,701 epoch 105 - iter 140/280 - loss 0.01271745 - time (sec): 9.01 - samples/sec: 11707.65 - lr: 0.012500
2023-04-05 12:01:43,496 epoch 105 - iter 168/280 - loss 0.01254130 - time (sec): 10.81 - samples/sec: 11745.81 - lr: 0.012500
2023-04-05 12:01:45,222 epoch 105 - iter 196/280 - loss 0.01260218 - time (sec): 12.53 - samples/sec: 11767.51 - lr: 0.012500
2023-04-05 12:01:47,005 epoch 105 - iter 224/280 - loss 0.01237941 - time (sec): 14.32 - samples/sec: 11787.04 - lr: 0.012500
2023-04-05 12:01:48,892 epoch 105 - iter 252/280 - loss 0.01213090 - time (sec): 16.20 - samples/sec: 11778.57 - lr: 0.012500
2023-04-05 12:01:50,670 epoch 105 - iter 280/280 - loss 0.01227421 - time (sec): 17.98 - samples/sec: 11772.11 - lr: 0.012500
2023-04-05 12:01:50,670 ----------------------------------------------------------------------------------------------------
2023-04-05 12:01:50,670 EPOCH 105 done: loss 0.0123 - lr 0.012500
2023-04-05 12:01:50,670 BAD EPOCHS (no improvement): 0
2023-04-05 12:01:50,673 ----------------------------------------------------------------------------------------------------
2023-04-05 12:01:52,499 epoch 106 - iter 28/280 - loss 0.01243735 - time (sec): 1.83 - samples/sec: 11736.66 - lr: 0.012500
2023-04-05 12:01:54,325 epoch 106 - iter 56/280 - loss 0.01150349 - time (sec): 3.65 - samples/sec: 11705.56 - lr: 0.012500
2023-04-05 12:01:56,092 epoch 106 - iter 84/280 - loss 0.01135112 - time (sec): 5.42 - samples/sec: 11713.03 - lr: 0.012500
2023-04-05 12:01:57,822 epoch 106 - iter 112/280 - loss 0.01181898 - time (sec): 7.15 - samples/sec: 11767.41 - lr: 0.012500
2023-04-05 12:01:59,637 epoch 106 - iter 140/280 - loss 0.01195970 - time (sec): 8.96 - samples/sec: 11727.78 - lr: 0.012500
2023-04-05 12:02:01,489 epoch 106 - iter 168/280 - loss 0.01234897 - time (sec): 10.82 - samples/sec: 11699.64 - lr: 0.012500
2023-04-05 12:02:03,298 epoch 106 - iter 196/280 - loss 0.01206787 - time (sec): 12.62 - samples/sec: 11699.56 - lr: 0.012500
2023-04-05 12:02:05,105 epoch 106 - iter 224/280 - loss 0.01223198 - time (sec): 14.43 - samples/sec: 11730.95 - lr: 0.012500
2023-04-05 12:02:06,937 epoch 106 - iter 252/280 - loss 0.01218783 - time (sec): 16.26 - samples/sec: 11738.87 - lr: 0.012500
2023-04-05 12:02:08,730 epoch 106 - iter 280/280 - loss 0.01217398 - time (sec): 18.06 - samples/sec: 11723.78 - lr: 0.012500
2023-04-05 12:02:08,730 ----------------------------------------------------------------------------------------------------
2023-04-05 12:02:08,730 EPOCH 106 done: loss 0.0122 - lr 0.012500
2023-04-05 12:02:08,730 BAD EPOCHS (no improvement): 0
2023-04-05 12:02:08,733 ----------------------------------------------------------------------------------------------------
2023-04-05 12:02:10,544 epoch 107 - iter 28/280 - loss 0.00966760 - time (sec): 1.81 - samples/sec: 11610.81 - lr: 0.012500
2023-04-05 12:02:12,352 epoch 107 - iter 56/280 - loss 0.01036859 - time (sec): 3.62 - samples/sec: 11627.53 - lr: 0.012500
2023-04-05 12:02:14,211 epoch 107 - iter 84/280 - loss 0.01102592 - time (sec): 5.48 - samples/sec: 11639.72 - lr: 0.012500
2023-04-05 12:02:16,087 epoch 107 - iter 112/280 - loss 0.01157287 - time (sec): 7.35 - samples/sec: 11600.81 - lr: 0.012500
2023-04-05 12:02:17,921 epoch 107 - iter 140/280 - loss 0.01170176 - time (sec): 9.19 - samples/sec: 11582.30 - lr: 0.012500
2023-04-05 12:02:19,711 epoch 107 - iter 168/280 - loss 0.01196695 - time (sec): 10.98 - samples/sec: 11625.94 - lr: 0.012500
2023-04-05 12:02:21,455 epoch 107 - iter 196/280 - loss 0.01171626 - time (sec): 12.72 - samples/sec: 11693.30 - lr: 0.012500
2023-04-05 12:02:23,255 epoch 107 - iter 224/280 - loss 0.01159026 - time (sec): 14.52 - samples/sec: 11733.14 - lr: 0.012500
2023-04-05 12:02:25,037 epoch 107 - iter 252/280 - loss 0.01166948 - time (sec): 16.30 - samples/sec: 11748.86 - lr: 0.012500
2023-04-05 12:02:26,747 epoch 107 - iter 280/280 - loss 0.01169413 - time (sec): 18.01 - samples/sec: 11751.37 - lr: 0.012500
2023-04-05 12:02:26,747 ----------------------------------------------------------------------------------------------------
2023-04-05 12:02:26,748 EPOCH 107 done: loss 0.0117 - lr 0.012500
2023-04-05 12:02:26,748 BAD EPOCHS (no improvement): 0
2023-04-05 12:02:26,751 ----------------------------------------------------------------------------------------------------
2023-04-05 12:02:28,513 epoch 108 - iter 28/280 - loss 0.01332731 - time (sec): 1.76 - samples/sec: 11800.29 - lr: 0.012500
2023-04-05 12:02:30,356 epoch 108 - iter 56/280 - loss 0.01368120 - time (sec): 3.61 - samples/sec: 11732.28 - lr: 0.012500
2023-04-05 12:02:32,145 epoch 108 - iter 84/280 - loss 0.01348220 - time (sec): 5.39 - samples/sec: 11826.82 - lr: 0.012500
2023-04-05 12:02:33,909 epoch 108 - iter 112/280 - loss 0.01343601 - time (sec): 7.16 - samples/sec: 11904.02 - lr: 0.012500
2023-04-05 12:02:35,627 epoch 108 - iter 140/280 - loss 0.01299514 - time (sec): 8.88 - samples/sec: 11952.62 - lr: 0.012500
2023-04-05 12:02:37,472 epoch 108 - iter 168/280 - loss 0.01273404 - time (sec): 10.72 - samples/sec: 11866.41 - lr: 0.012500
2023-04-05 12:02:39,256 epoch 108 - iter 196/280 - loss 0.01275609 - time (sec): 12.51 - samples/sec: 11847.86 - lr: 0.012500
2023-04-05 12:02:41,058 epoch 108 - iter 224/280 - loss 0.01288186 - time (sec): 14.31 - samples/sec: 11859.81 - lr: 0.012500
2023-04-05 12:02:42,853 epoch 108 - iter 252/280 - loss 0.01292018 - time (sec): 16.10 - samples/sec: 11839.18 - lr: 0.012500
2023-04-05 12:02:44,713 epoch 108 - iter 280/280 - loss 0.01281842 - time (sec): 17.96 - samples/sec: 11785.46 - lr: 0.012500
2023-04-05 12:02:44,713 ----------------------------------------------------------------------------------------------------
2023-04-05 12:02:44,713 EPOCH 108 done: loss 0.0128 - lr 0.012500
2023-04-05 12:02:44,713 BAD EPOCHS (no improvement): 1
2023-04-05 12:02:44,716 ----------------------------------------------------------------------------------------------------
2023-04-05 12:02:46,526 epoch 109 - iter 28/280 - loss 0.01221772 - time (sec): 1.81 - samples/sec: 11715.75 - lr: 0.012500
2023-04-05 12:02:48,293 epoch 109 - iter 56/280 - loss 0.01213670 - time (sec): 3.58 - samples/sec: 11852.56 - lr: 0.012500
2023-04-05 12:02:50,083 epoch 109 - iter 84/280 - loss 0.01232148 - time (sec): 5.37 - samples/sec: 11813.92 - lr: 0.012500
2023-04-05 12:02:51,907 epoch 109 - iter 112/280 - loss 0.01273374 - time (sec): 7.19 - samples/sec: 11798.62 - lr: 0.012500
2023-04-05 12:02:53,672 epoch 109 - iter 140/280 - loss 0.01257894 - time (sec): 8.96 - samples/sec: 11793.12 - lr: 0.012500
2023-04-05 12:02:55,528 epoch 109 - iter 168/280 - loss 0.01228648 - time (sec): 10.81 - samples/sec: 11728.52 - lr: 0.012500
2023-04-05 12:02:57,385 epoch 109 - iter 196/280 - loss 0.01235073 - time (sec): 12.67 - samples/sec: 11704.66 - lr: 0.012500
2023-04-05 12:02:59,165 epoch 109 - iter 224/280 - loss 0.01212374 - time (sec): 14.45 - samples/sec: 11721.36 - lr: 0.012500
2023-04-05 12:03:00,962 epoch 109 - iter 252/280 - loss 0.01239836 - time (sec): 16.25 - samples/sec: 11748.10 - lr: 0.012500
2023-04-05 12:03:02,740 epoch 109 - iter 280/280 - loss 0.01249306 - time (sec): 18.02 - samples/sec: 11745.09 - lr: 0.012500
2023-04-05 12:03:02,740 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:02,740 EPOCH 109 done: loss 0.0125 - lr 0.012500
2023-04-05 12:03:02,740 BAD EPOCHS (no improvement): 2
2023-04-05 12:03:02,743 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:04,521 epoch 110 - iter 28/280 - loss 0.01119783 - time (sec): 1.78 - samples/sec: 12026.51 - lr: 0.012500
2023-04-05 12:03:06,399 epoch 110 - iter 56/280 - loss 0.01246821 - time (sec): 3.66 - samples/sec: 11706.71 - lr: 0.012500
2023-04-05 12:03:08,167 epoch 110 - iter 84/280 - loss 0.01210950 - time (sec): 5.42 - samples/sec: 11769.24 - lr: 0.012500
2023-04-05 12:03:10,048 epoch 110 - iter 112/280 - loss 0.01180829 - time (sec): 7.30 - samples/sec: 11766.28 - lr: 0.012500
2023-04-05 12:03:11,816 epoch 110 - iter 140/280 - loss 0.01164647 - time (sec): 9.07 - samples/sec: 11753.01 - lr: 0.012500
2023-04-05 12:03:13,571 epoch 110 - iter 168/280 - loss 0.01159105 - time (sec): 10.83 - samples/sec: 11785.45 - lr: 0.012500
2023-04-05 12:03:15,379 epoch 110 - iter 196/280 - loss 0.01157746 - time (sec): 12.64 - samples/sec: 11772.06 - lr: 0.012500
2023-04-05 12:03:17,182 epoch 110 - iter 224/280 - loss 0.01159648 - time (sec): 14.44 - samples/sec: 11731.97 - lr: 0.012500
2023-04-05 12:03:19,001 epoch 110 - iter 252/280 - loss 0.01175475 - time (sec): 16.26 - samples/sec: 11746.31 - lr: 0.012500
2023-04-05 12:03:20,782 epoch 110 - iter 280/280 - loss 0.01185925 - time (sec): 18.04 - samples/sec: 11735.04 - lr: 0.012500
2023-04-05 12:03:20,783 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:20,783 EPOCH 110 done: loss 0.0119 - lr 0.012500
2023-04-05 12:03:20,783 BAD EPOCHS (no improvement): 3
2023-04-05 12:03:20,786 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:22,562 epoch 111 - iter 28/280 - loss 0.00932374 - time (sec): 1.78 - samples/sec: 11883.94 - lr: 0.012500
2023-04-05 12:03:24,337 epoch 111 - iter 56/280 - loss 0.00998230 - time (sec): 3.55 - samples/sec: 11864.13 - lr: 0.012500
2023-04-05 12:03:26,183 epoch 111 - iter 84/280 - loss 0.01051739 - time (sec): 5.40 - samples/sec: 11747.17 - lr: 0.012500
2023-04-05 12:03:27,950 epoch 111 - iter 112/280 - loss 0.01113727 - time (sec): 7.16 - samples/sec: 11767.04 - lr: 0.012500
2023-04-05 12:03:29,760 epoch 111 - iter 140/280 - loss 0.01114099 - time (sec): 8.97 - samples/sec: 11735.88 - lr: 0.012500
2023-04-05 12:03:31,581 epoch 111 - iter 168/280 - loss 0.01113536 - time (sec): 10.79 - samples/sec: 11706.10 - lr: 0.012500
2023-04-05 12:03:33,425 epoch 111 - iter 196/280 - loss 0.01127911 - time (sec): 12.64 - samples/sec: 11711.74 - lr: 0.012500
2023-04-05 12:03:35,241 epoch 111 - iter 224/280 - loss 0.01115847 - time (sec): 14.45 - samples/sec: 11714.40 - lr: 0.012500
2023-04-05 12:03:37,039 epoch 111 - iter 252/280 - loss 0.01120779 - time (sec): 16.25 - samples/sec: 11722.32 - lr: 0.012500
2023-04-05 12:03:38,838 epoch 111 - iter 280/280 - loss 0.01119183 - time (sec): 18.05 - samples/sec: 11727.09 - lr: 0.012500
2023-04-05 12:03:38,838 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:38,838 EPOCH 111 done: loss 0.0112 - lr 0.012500
2023-04-05 12:03:38,838 BAD EPOCHS (no improvement): 0
2023-04-05 12:03:38,841 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:40,614 epoch 112 - iter 28/280 - loss 0.01096795 - time (sec): 1.77 - samples/sec: 11807.19 - lr: 0.012500
2023-04-05 12:03:42,418 epoch 112 - iter 56/280 - loss 0.01120031 - time (sec): 3.58 - samples/sec: 11774.51 - lr: 0.012500
2023-04-05 12:03:44,209 epoch 112 - iter 84/280 - loss 0.01132304 - time (sec): 5.37 - samples/sec: 11784.56 - lr: 0.012500
2023-04-05 12:03:46,047 epoch 112 - iter 112/280 - loss 0.01107989 - time (sec): 7.21 - samples/sec: 11809.03 - lr: 0.012500
2023-04-05 12:03:47,805 epoch 112 - iter 140/280 - loss 0.01158773 - time (sec): 8.96 - samples/sec: 11835.47 - lr: 0.012500
2023-04-05 12:03:49,563 epoch 112 - iter 168/280 - loss 0.01209611 - time (sec): 10.72 - samples/sec: 11872.48 - lr: 0.012500
2023-04-05 12:03:51,368 epoch 112 - iter 196/280 - loss 0.01185674 - time (sec): 12.53 - samples/sec: 11864.36 - lr: 0.012500
2023-04-05 12:03:53,140 epoch 112 - iter 224/280 - loss 0.01193868 - time (sec): 14.30 - samples/sec: 11866.13 - lr: 0.012500
2023-04-05 12:03:54,969 epoch 112 - iter 252/280 - loss 0.01196546 - time (sec): 16.13 - samples/sec: 11844.08 - lr: 0.012500
2023-04-05 12:03:56,716 epoch 112 - iter 280/280 - loss 0.01195998 - time (sec): 17.88 - samples/sec: 11842.70 - lr: 0.012500
2023-04-05 12:03:56,716 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:56,716 EPOCH 112 done: loss 0.0120 - lr 0.012500
2023-04-05 12:03:56,716 BAD EPOCHS (no improvement): 1
2023-04-05 12:03:56,719 ----------------------------------------------------------------------------------------------------
2023-04-05 12:03:58,460 epoch 113 - iter 28/280 - loss 0.01157594 - time (sec): 1.74 - samples/sec: 12012.46 - lr: 0.012500
2023-04-05 12:04:00,317 epoch 113 - iter 56/280 - loss 0.01179186 - time (sec): 3.60 - samples/sec: 11724.88 - lr: 0.012500
2023-04-05 12:04:02,111 epoch 113 - iter 84/280 - loss 0.01195041 - time (sec): 5.39 - samples/sec: 11740.98 - lr: 0.012500
2023-04-05 12:04:03,887 epoch 113 - iter 112/280 - loss 0.01163289 - time (sec): 7.17 - samples/sec: 11831.13 - lr: 0.012500
2023-04-05 12:04:05,668 epoch 113 - iter 140/280 - loss 0.01114858 - time (sec): 8.95 - samples/sec: 11783.27 - lr: 0.012500
2023-04-05 12:04:07,514 epoch 113 - iter 168/280 - loss 0.01094912 - time (sec): 10.79 - samples/sec: 11724.88 - lr: 0.012500
2023-04-05 12:04:09,322 epoch 113 - iter 196/280 - loss 0.01091043 - time (sec): 12.60 - samples/sec: 11738.78 - lr: 0.012500
2023-04-05 12:04:11,122 epoch 113 - iter 224/280 - loss 0.01115677 - time (sec): 14.40 - samples/sec: 11732.08 - lr: 0.012500
2023-04-05 12:04:12,977 epoch 113 - iter 252/280 - loss 0.01122948 - time (sec): 16.26 - samples/sec: 11740.58 - lr: 0.012500
2023-04-05 12:04:14,777 epoch 113 - iter 280/280 - loss 0.01120865 - time (sec): 18.06 - samples/sec: 11723.11 - lr: 0.012500
2023-04-05 12:04:14,777 ----------------------------------------------------------------------------------------------------
2023-04-05 12:04:14,777 EPOCH 113 done: loss 0.0112 - lr 0.012500
2023-04-05 12:04:14,777 BAD EPOCHS (no improvement): 2
2023-04-05 12:04:14,781 ----------------------------------------------------------------------------------------------------
2023-04-05 12:04:16,556 epoch 114 - iter 28/280 - loss 0.01050594 - time (sec): 1.77 - samples/sec: 11936.15 - lr: 0.012500
2023-04-05 12:04:18,396 epoch 114 - iter 56/280 - loss 0.01080374 - time (sec): 3.61 - samples/sec: 11894.31 - lr: 0.012500
2023-04-05 12:04:20,215 epoch 114 - iter 84/280 - loss 0.01074294 - time (sec): 5.43 - samples/sec: 11904.68 - lr: 0.012500
2023-04-05 12:04:22,026 epoch 114 - iter 112/280 - loss 0.01079174 - time (sec): 7.24 - samples/sec: 11831.46 - lr: 0.012500
2023-04-05 12:04:23,814 epoch 114 - iter 140/280 - loss 0.01113253 - time (sec): 9.03 - samples/sec: 11809.01 - lr: 0.012500
2023-04-05 12:04:25,572 epoch 114 - iter 168/280 - loss 0.01105838 - time (sec): 10.79 - samples/sec: 11863.87 - lr: 0.012500
2023-04-05 12:04:27,329 epoch 114 - iter 196/280 - loss 0.01093990 - time (sec): 12.55 - samples/sec: 11869.24 - lr: 0.012500
2023-04-05 12:04:29,128 epoch 114 - iter 224/280 - loss 0.01105410 - time (sec): 14.35 - samples/sec: 11884.77 - lr: 0.012500
2023-04-05 12:04:30,948 epoch 114 - iter 252/280 - loss 0.01113445 - time (sec): 16.17 - samples/sec: 11833.35 - lr: 0.012500
2023-04-05 12:04:32,699 epoch 114 - iter 280/280 - loss 0.01098837 - time (sec): 17.92 - samples/sec: 11814.63 - lr: 0.012500
2023-04-05 12:04:32,699 ----------------------------------------------------------------------------------------------------
2023-04-05 12:04:32,699 EPOCH 114 done: loss 0.0110 - lr 0.012500
2023-04-05 12:04:32,699 BAD EPOCHS (no improvement): 0
2023-04-05 12:04:32,702 ----------------------------------------------------------------------------------------------------
2023-04-05 12:04:34,476 epoch 115 - iter 28/280 - loss 0.01180769 - time (sec): 1.77 - samples/sec: 11863.89 - lr: 0.012500
2023-04-05 12:04:36,332 epoch 115 - iter 56/280 - loss 0.01208287 - time (sec): 3.63 - samples/sec: 11723.32 - lr: 0.012500
2023-04-05 12:04:38,187 epoch 115 - iter 84/280 - loss 0.01125099 - time (sec): 5.48 - samples/sec: 11680.61 - lr: 0.012500
2023-04-05 12:04:39,973 epoch 115 - iter 112/280 - loss 0.01111443 - time (sec): 7.27 - samples/sec: 11671.26 - lr: 0.012500
2023-04-05 12:04:41,843 epoch 115 - iter 140/280 - loss 0.01119981 - time (sec): 9.14 - samples/sec: 11643.05 - lr: 0.012500
2023-04-05 12:04:43,616 epoch 115 - iter 168/280 - loss 0.01097438 - time (sec): 10.91 - samples/sec: 11677.93 - lr: 0.012500
2023-04-05 12:04:45,372 epoch 115 - iter 196/280 - loss 0.01117566 - time (sec): 12.67 - samples/sec: 11708.73 - lr: 0.012500
2023-04-05 12:04:47,136 epoch 115 - iter 224/280 - loss 0.01101021 - time (sec): 14.43 - samples/sec: 11766.71 - lr: 0.012500
2023-04-05 12:04:48,926 epoch 115 - iter 252/280 - loss 0.01106010 - time (sec): 16.22 - samples/sec: 11763.58 - lr: 0.012500
2023-04-05 12:04:50,722 epoch 115 - iter 280/280 - loss 0.01128993 - time (sec): 18.02 - samples/sec: 11747.32 - lr: 0.012500
2023-04-05 12:04:50,723 ----------------------------------------------------------------------------------------------------
2023-04-05 12:04:50,723 EPOCH 115 done: loss 0.0113 - lr 0.012500
2023-04-05 12:04:50,723 BAD EPOCHS (no improvement): 1
2023-04-05 12:04:50,726 ----------------------------------------------------------------------------------------------------
2023-04-05 12:04:52,524 epoch 116 - iter 28/280 - loss 0.01201711 - time (sec): 1.80 - samples/sec: 11838.44 - lr: 0.012500
2023-04-05 12:04:54,348 epoch 116 - iter 56/280 - loss 0.01195113 - time (sec): 3.62 - samples/sec: 11888.07 - lr: 0.012500
2023-04-05 12:04:56,120 epoch 116 - iter 84/280 - loss 0.01229700 - time (sec): 5.39 - samples/sec: 11754.77 - lr: 0.012500
2023-04-05 12:04:57,929 epoch 116 - iter 112/280 - loss 0.01266103 - time (sec): 7.20 - samples/sec: 11757.47 - lr: 0.012500
2023-04-05 12:04:59,673 epoch 116 - iter 140/280 - loss 0.01228128 - time (sec): 8.95 - samples/sec: 11792.36 - lr: 0.012500
2023-04-05 12:05:01,368 epoch 116 - iter 168/280 - loss 0.01205380 - time (sec): 10.64 - samples/sec: 11874.68 - lr: 0.012500
2023-04-05 12:05:03,142 epoch 116 - iter 196/280 - loss 0.01178919 - time (sec): 12.42 - samples/sec: 11865.73 - lr: 0.012500
2023-04-05 12:05:05,005 epoch 116 - iter 224/280 - loss 0.01191985 - time (sec): 14.28 - samples/sec: 11829.08 - lr: 0.012500
2023-04-05 12:05:06,859 epoch 116 - iter 252/280 - loss 0.01167624 - time (sec): 16.13 - samples/sec: 11845.23 - lr: 0.012500
2023-04-05 12:05:08,617 epoch 116 - iter 280/280 - loss 0.01177646 - time (sec): 17.89 - samples/sec: 11832.00 - lr: 0.012500
2023-04-05 12:05:08,617 ----------------------------------------------------------------------------------------------------
2023-04-05 12:05:08,617 EPOCH 116 done: loss 0.0118 - lr 0.012500
2023-04-05 12:05:08,617 BAD EPOCHS (no improvement): 2
2023-04-05 12:05:08,621 ----------------------------------------------------------------------------------------------------
2023-04-05 12:05:10,388 epoch 117 - iter 28/280 - loss 0.00996882 - time (sec): 1.77 - samples/sec: 11712.94 - lr: 0.012500
2023-04-05 12:05:12,170 epoch 117 - iter 56/280 - loss 0.00930017 - time (sec): 3.55 - samples/sec: 11788.39 - lr: 0.012500
2023-04-05 12:05:13,982 epoch 117 - iter 84/280 - loss 0.00931808 - time (sec): 5.36 - samples/sec: 11779.83 - lr: 0.012500
2023-04-05 12:05:15,838 epoch 117 - iter 112/280 - loss 0.00992919 - time (sec): 7.22 - samples/sec: 11745.63 - lr: 0.012500
2023-04-05 12:05:17,643 epoch 117 - iter 140/280 - loss 0.01002179 - time (sec): 9.02 - samples/sec: 11740.48 - lr: 0.012500
2023-04-05 12:05:19,466 epoch 117 - iter 168/280 - loss 0.01037592 - time (sec): 10.85 - samples/sec: 11721.72 - lr: 0.012500
2023-04-05 12:05:21,261 epoch 117 - iter 196/280 - loss 0.01042152 - time (sec): 12.64 - samples/sec: 11714.94 - lr: 0.012500
2023-04-05 12:05:23,089 epoch 117 - iter 224/280 - loss 0.01069902 - time (sec): 14.47 - samples/sec: 11711.95 - lr: 0.012500
2023-04-05 12:05:24,888 epoch 117 - iter 252/280 - loss 0.01090005 - time (sec): 16.27 - samples/sec: 11738.69 - lr: 0.012500
2023-04-05 12:05:26,630 epoch 117 - iter 280/280 - loss 0.01106367 - time (sec): 18.01 - samples/sec: 11754.58 - lr: 0.012500
2023-04-05 12:05:26,630 ----------------------------------------------------------------------------------------------------
2023-04-05 12:05:26,630 EPOCH 117 done: loss 0.0111 - lr 0.012500
2023-04-05 12:05:26,631 BAD EPOCHS (no improvement): 3
2023-04-05 12:05:26,633 ----------------------------------------------------------------------------------------------------
2023-04-05 12:05:28,473 epoch 118 - iter 28/280 - loss 0.01142009 - time (sec): 1.84 - samples/sec: 11795.93 - lr: 0.012500
2023-04-05 12:05:30,265 epoch 118 - iter 56/280 - loss 0.01209766 - time (sec): 3.63 - samples/sec: 11783.50 - lr: 0.012500
2023-04-05 12:05:32,084 epoch 118 - iter 84/280 - loss 0.01230989 - time (sec): 5.45 - samples/sec: 11715.80 - lr: 0.012500
2023-04-05 12:05:33,866 epoch 118 - iter 112/280 - loss 0.01210889 - time (sec): 7.23 - samples/sec: 11736.72 - lr: 0.012500
2023-04-05 12:05:35,684 epoch 118 - iter 140/280 - loss 0.01195205 - time (sec): 9.05 - samples/sec: 11758.87 - lr: 0.012500
2023-04-05 12:05:37,470 epoch 118 - iter 168/280 - loss 0.01186907 - time (sec): 10.84 - samples/sec: 11774.50 - lr: 0.012500
2023-04-05 12:05:39,221 epoch 118 - iter 196/280 - loss 0.01163592 - time (sec): 12.59 - samples/sec: 11827.94 - lr: 0.012500
2023-04-05 12:05:41,063 epoch 118 - iter 224/280 - loss 0.01144130 - time (sec): 14.43 - samples/sec: 11797.27 - lr: 0.012500
2023-04-05 12:05:42,865 epoch 118 - iter 252/280 - loss 0.01156138 - time (sec): 16.23 - samples/sec: 11776.38 - lr: 0.012500
2023-04-05 12:05:44,645 epoch 118 - iter 280/280 - loss 0.01160797 - time (sec): 18.01 - samples/sec: 11752.96 - lr: 0.012500
2023-04-05 12:05:44,645 ----------------------------------------------------------------------------------------------------
2023-04-05 12:05:44,645 EPOCH 118 done: loss 0.0116 - lr 0.012500
2023-04-05 12:05:44,645 Epoch 118: reducing learning rate of group 0 to 6.2500e-03.
2023-04-05 12:05:44,645 BAD EPOCHS (no improvement): 4
2023-04-05 12:05:44,649 ----------------------------------------------------------------------------------------------------
2023-04-05 12:05:46,437 epoch 119 - iter 28/280 - loss 0.01072948 - time (sec): 1.79 - samples/sec: 11858.91 - lr: 0.006250
2023-04-05 12:05:48,233 epoch 119 - iter 56/280 - loss 0.01086085 - time (sec): 3.58 - samples/sec: 11821.70 - lr: 0.006250
2023-04-05 12:05:50,070 epoch 119 - iter 84/280 - loss 0.01109623 - time (sec): 5.42 - samples/sec: 11686.65 - lr: 0.006250
2023-04-05 12:05:51,881 epoch 119 - iter 112/280 - loss 0.01119167 - time (sec): 7.23 - samples/sec: 11744.85 - lr: 0.006250
2023-04-05 12:05:53,684 epoch 119 - iter 140/280 - loss 0.01120795 - time (sec): 9.03 - samples/sec: 11743.84 - lr: 0.006250
2023-04-05 12:05:55,480 epoch 119 - iter 168/280 - loss 0.01147289 - time (sec): 10.83 - samples/sec: 11728.88 - lr: 0.006250
2023-04-05 12:05:57,342 epoch 119 - iter 196/280 - loss 0.01152869 - time (sec): 12.69 - samples/sec: 11701.64 - lr: 0.006250
2023-04-05 12:05:59,165 epoch 119 - iter 224/280 - loss 0.01130786 - time (sec): 14.52 - samples/sec: 11715.94 - lr: 0.006250
2023-04-05 12:06:01,002 epoch 119 - iter 252/280 - loss 0.01141347 - time (sec): 16.35 - samples/sec: 11704.26 - lr: 0.006250
2023-04-05 12:06:02,781 epoch 119 - iter 280/280 - loss 0.01141699 - time (sec): 18.13 - samples/sec: 11674.90 - lr: 0.006250
2023-04-05 12:06:02,781 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:02,781 EPOCH 119 done: loss 0.0114 - lr 0.006250
2023-04-05 12:06:02,781 BAD EPOCHS (no improvement): 1
2023-04-05 12:06:02,784 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:04,560 epoch 120 - iter 28/280 - loss 0.00945488 - time (sec): 1.78 - samples/sec: 11898.13 - lr: 0.006250
2023-04-05 12:06:06,323 epoch 120 - iter 56/280 - loss 0.00971431 - time (sec): 3.54 - samples/sec: 11829.85 - lr: 0.006250
2023-04-05 12:06:08,141 epoch 120 - iter 84/280 - loss 0.00981638 - time (sec): 5.36 - samples/sec: 11822.16 - lr: 0.006250
2023-04-05 12:06:09,946 epoch 120 - iter 112/280 - loss 0.01005684 - time (sec): 7.16 - samples/sec: 11788.18 - lr: 0.006250
2023-04-05 12:06:11,698 epoch 120 - iter 140/280 - loss 0.01074333 - time (sec): 8.91 - samples/sec: 11814.19 - lr: 0.006250
2023-04-05 12:06:13,505 epoch 120 - iter 168/280 - loss 0.01100882 - time (sec): 10.72 - samples/sec: 11799.01 - lr: 0.006250
2023-04-05 12:06:15,288 epoch 120 - iter 196/280 - loss 0.01140791 - time (sec): 12.50 - samples/sec: 11812.91 - lr: 0.006250
2023-04-05 12:06:17,122 epoch 120 - iter 224/280 - loss 0.01124203 - time (sec): 14.34 - samples/sec: 11800.92 - lr: 0.006250
2023-04-05 12:06:18,947 epoch 120 - iter 252/280 - loss 0.01122156 - time (sec): 16.16 - samples/sec: 11811.79 - lr: 0.006250
2023-04-05 12:06:20,737 epoch 120 - iter 280/280 - loss 0.01119354 - time (sec): 17.95 - samples/sec: 11791.53 - lr: 0.006250
2023-04-05 12:06:20,737 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:20,737 EPOCH 120 done: loss 0.0112 - lr 0.006250
2023-04-05 12:06:20,737 BAD EPOCHS (no improvement): 2
2023-04-05 12:06:20,739 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:22,522 epoch 121 - iter 28/280 - loss 0.01033663 - time (sec): 1.78 - samples/sec: 11819.15 - lr: 0.006250
2023-04-05 12:06:24,293 epoch 121 - iter 56/280 - loss 0.01057722 - time (sec): 3.55 - samples/sec: 11783.26 - lr: 0.006250
2023-04-05 12:06:26,140 epoch 121 - iter 84/280 - loss 0.01008745 - time (sec): 5.40 - samples/sec: 11687.21 - lr: 0.006250
2023-04-05 12:06:27,936 epoch 121 - iter 112/280 - loss 0.01089627 - time (sec): 7.20 - samples/sec: 11737.02 - lr: 0.006250
2023-04-05 12:06:29,772 epoch 121 - iter 140/280 - loss 0.01118474 - time (sec): 9.03 - samples/sec: 11653.18 - lr: 0.006250
2023-04-05 12:06:31,570 epoch 121 - iter 168/280 - loss 0.01108994 - time (sec): 10.83 - samples/sec: 11688.94 - lr: 0.006250
2023-04-05 12:06:33,414 epoch 121 - iter 196/280 - loss 0.01100477 - time (sec): 12.67 - samples/sec: 11700.45 - lr: 0.006250
2023-04-05 12:06:35,260 epoch 121 - iter 224/280 - loss 0.01093386 - time (sec): 14.52 - samples/sec: 11692.20 - lr: 0.006250
2023-04-05 12:06:37,050 epoch 121 - iter 252/280 - loss 0.01093211 - time (sec): 16.31 - samples/sec: 11691.14 - lr: 0.006250
2023-04-05 12:06:38,865 epoch 121 - iter 280/280 - loss 0.01094855 - time (sec): 18.13 - samples/sec: 11679.37 - lr: 0.006250
2023-04-05 12:06:38,865 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:38,865 EPOCH 121 done: loss 0.0109 - lr 0.006250
2023-04-05 12:06:38,865 BAD EPOCHS (no improvement): 0
2023-04-05 12:06:38,868 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:40,669 epoch 122 - iter 28/280 - loss 0.01129554 - time (sec): 1.80 - samples/sec: 11761.16 - lr: 0.006250
2023-04-05 12:06:42,416 epoch 122 - iter 56/280 - loss 0.01067775 - time (sec): 3.55 - samples/sec: 11844.17 - lr: 0.006250
2023-04-05 12:06:44,213 epoch 122 - iter 84/280 - loss 0.01070966 - time (sec): 5.35 - samples/sec: 11890.69 - lr: 0.006250
2023-04-05 12:06:46,030 epoch 122 - iter 112/280 - loss 0.01083069 - time (sec): 7.16 - samples/sec: 11858.14 - lr: 0.006250
2023-04-05 12:06:47,781 epoch 122 - iter 140/280 - loss 0.01059356 - time (sec): 8.91 - samples/sec: 11870.82 - lr: 0.006250
2023-04-05 12:06:49,601 epoch 122 - iter 168/280 - loss 0.01064965 - time (sec): 10.73 - samples/sec: 11847.89 - lr: 0.006250
2023-04-05 12:06:51,369 epoch 122 - iter 196/280 - loss 0.01045740 - time (sec): 12.50 - samples/sec: 11844.57 - lr: 0.006250
2023-04-05 12:06:53,204 epoch 122 - iter 224/280 - loss 0.01055529 - time (sec): 14.34 - samples/sec: 11860.11 - lr: 0.006250
2023-04-05 12:06:54,998 epoch 122 - iter 252/280 - loss 0.01048694 - time (sec): 16.13 - samples/sec: 11837.60 - lr: 0.006250
2023-04-05 12:06:56,771 epoch 122 - iter 280/280 - loss 0.01055719 - time (sec): 17.90 - samples/sec: 11824.56 - lr: 0.006250
2023-04-05 12:06:56,771 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:56,771 EPOCH 122 done: loss 0.0106 - lr 0.006250
2023-04-05 12:06:56,771 BAD EPOCHS (no improvement): 0
2023-04-05 12:06:56,773 ----------------------------------------------------------------------------------------------------
2023-04-05 12:06:58,561 epoch 123 - iter 28/280 - loss 0.01270939 - time (sec): 1.79 - samples/sec: 11945.11 - lr: 0.006250
2023-04-05 12:07:00,407 epoch 123 - iter 56/280 - loss 0.01133282 - time (sec): 3.63 - samples/sec: 11820.25 - lr: 0.006250
2023-04-05 12:07:02,244 epoch 123 - iter 84/280 - loss 0.01121898 - time (sec): 5.47 - samples/sec: 11727.54 - lr: 0.006250
2023-04-05 12:07:04,085 epoch 123 - iter 112/280 - loss 0.01178266 - time (sec): 7.31 - samples/sec: 11705.65 - lr: 0.006250
2023-04-05 12:07:05,890 epoch 123 - iter 140/280 - loss 0.01141382 - time (sec): 9.12 - samples/sec: 11711.09 - lr: 0.006250
2023-04-05 12:07:07,696 epoch 123 - iter 168/280 - loss 0.01127287 - time (sec): 10.92 - samples/sec: 11742.17 - lr: 0.006250
2023-04-05 12:07:09,498 epoch 123 - iter 196/280 - loss 0.01110444 - time (sec): 12.72 - samples/sec: 11713.17 - lr: 0.006250
2023-04-05 12:07:11,320 epoch 123 - iter 224/280 - loss 0.01101400 - time (sec): 14.55 - samples/sec: 11689.55 - lr: 0.006250
2023-04-05 12:07:13,119 epoch 123 - iter 252/280 - loss 0.01096720 - time (sec): 16.35 - samples/sec: 11687.01 - lr: 0.006250
2023-04-05 12:07:14,939 epoch 123 - iter 280/280 - loss 0.01107961 - time (sec): 18.17 - samples/sec: 11653.42 - lr: 0.006250
2023-04-05 12:07:14,939 ----------------------------------------------------------------------------------------------------
2023-04-05 12:07:14,939 EPOCH 123 done: loss 0.0111 - lr 0.006250
2023-04-05 12:07:14,939 BAD EPOCHS (no improvement): 1
2023-04-05 12:07:14,941 ----------------------------------------------------------------------------------------------------
2023-04-05 12:07:16,682 epoch 124 - iter 28/280 - loss 0.01243923 - time (sec): 1.74 - samples/sec: 12054.38 - lr: 0.006250
2023-04-05 12:07:18,482 epoch 124 - iter 56/280 - loss 0.01128348 - time (sec): 3.54 - samples/sec: 11887.96 - lr: 0.006250
2023-04-05 12:07:20,259 epoch 124 - iter 84/280 - loss 0.01049447 - time (sec): 5.32 - samples/sec: 11877.55 - lr: 0.006250
2023-04-05 12:07:22,079 epoch 124 - iter 112/280 - loss 0.01031175 - time (sec): 7.14 - samples/sec: 11815.06 - lr: 0.006250
2023-04-05 12:07:23,904 epoch 124 - iter 140/280 - loss 0.01028150 - time (sec): 8.96 - samples/sec: 11769.32 - lr: 0.006250
2023-04-05 12:07:25,688 epoch 124 - iter 168/280 - loss 0.01037011 - time (sec): 10.75 - samples/sec: 11833.37 - lr: 0.006250
2023-04-05 12:07:27,570 epoch 124 - iter 196/280 - loss 0.01047649 - time (sec): 12.63 - samples/sec: 11803.01 - lr: 0.006250
2023-04-05 12:07:29,378 epoch 124 - iter 224/280 - loss 0.01045159 - time (sec): 14.44 - samples/sec: 11799.64 - lr: 0.006250
2023-04-05 12:07:31,150 epoch 124 - iter 252/280 - loss 0.01054015 - time (sec): 16.21 - samples/sec: 11788.30 - lr: 0.006250
2023-04-05 12:07:32,930 epoch 124 - iter 280/280 - loss 0.01087892 - time (sec): 17.99 - samples/sec: 11768.33 - lr: 0.006250
2023-04-05 12:07:32,930 ----------------------------------------------------------------------------------------------------
2023-04-05 12:07:32,930 EPOCH 124 done: loss 0.0109 - lr 0.006250
2023-04-05 12:07:32,930 BAD EPOCHS (no improvement): 2
2023-04-05 12:07:32,932 ----------------------------------------------------------------------------------------------------
2023-04-05 12:07:34,736 epoch 125 - iter 28/280 - loss 0.01188909 - time (sec): 1.80 - samples/sec: 11815.06 - lr: 0.006250
2023-04-05 12:07:36,498 epoch 125 - iter 56/280 - loss 0.01194583 - time (sec): 3.57 - samples/sec: 11882.14 - lr: 0.006250
2023-04-05 12:07:38,268 epoch 125 - iter 84/280 - loss 0.01154589 - time (sec): 5.34 - samples/sec: 11868.19 - lr: 0.006250
2023-04-05 12:07:40,105 epoch 125 - iter 112/280 - loss 0.01142385 - time (sec): 7.17 - samples/sec: 11761.57 - lr: 0.006250
2023-04-05 12:07:41,871 epoch 125 - iter 140/280 - loss 0.01104290 - time (sec): 8.94 - samples/sec: 11770.61 - lr: 0.006250
2023-04-05 12:07:43,628 epoch 125 - iter 168/280 - loss 0.01102127 - time (sec): 10.70 - samples/sec: 11814.85 - lr: 0.006250
2023-04-05 12:07:45,488 epoch 125 - iter 196/280 - loss 0.01077312 - time (sec): 12.56 - samples/sec: 11788.28 - lr: 0.006250
2023-04-05 12:07:47,289 epoch 125 - iter 224/280 - loss 0.01078319 - time (sec): 14.36 - samples/sec: 11796.27 - lr: 0.006250
2023-04-05 12:07:49,158 epoch 125 - iter 252/280 - loss 0.01088515 - time (sec): 16.23 - samples/sec: 11783.05 - lr: 0.006250
2023-04-05 12:07:50,926 epoch 125 - iter 280/280 - loss 0.01080579 - time (sec): 17.99 - samples/sec: 11764.59 - lr: 0.006250
2023-04-05 12:07:50,927 ----------------------------------------------------------------------------------------------------
2023-04-05 12:07:50,927 EPOCH 125 done: loss 0.0108 - lr 0.006250
2023-04-05 12:07:50,927 BAD EPOCHS (no improvement): 3
2023-04-05 12:07:50,929 ----------------------------------------------------------------------------------------------------
2023-04-05 12:07:52,764 epoch 126 - iter 28/280 - loss 0.01145382 - time (sec): 1.83 - samples/sec: 11547.67 - lr: 0.006250
2023-04-05 12:07:54,543 epoch 126 - iter 56/280 - loss 0.01033521 - time (sec): 3.61 - samples/sec: 11659.67 - lr: 0.006250
2023-04-05 12:07:56,342 epoch 126 - iter 84/280 - loss 0.01060870 - time (sec): 5.41 - samples/sec: 11789.53 - lr: 0.006250
2023-04-05 12:07:58,114 epoch 126 - iter 112/280 - loss 0.01068080 - time (sec): 7.18 - samples/sec: 11822.28 - lr: 0.006250
2023-04-05 12:07:59,948 epoch 126 - iter 140/280 - loss 0.01013108 - time (sec): 9.02 - samples/sec: 11813.76 - lr: 0.006250
2023-04-05 12:08:01,720 epoch 126 - iter 168/280 - loss 0.01064802 - time (sec): 10.79 - samples/sec: 11799.91 - lr: 0.006250
2023-04-05 12:08:03,517 epoch 126 - iter 196/280 - loss 0.01073286 - time (sec): 12.59 - samples/sec: 11789.11 - lr: 0.006250
2023-04-05 12:08:05,317 epoch 126 - iter 224/280 - loss 0.01056839 - time (sec): 14.39 - samples/sec: 11806.15 - lr: 0.006250
2023-04-05 12:08:07,121 epoch 126 - iter 252/280 - loss 0.01080325 - time (sec): 16.19 - samples/sec: 11781.05 - lr: 0.006250
2023-04-05 12:08:08,887 epoch 126 - iter 280/280 - loss 0.01071723 - time (sec): 17.96 - samples/sec: 11788.67 - lr: 0.006250
2023-04-05 12:08:08,887 ----------------------------------------------------------------------------------------------------
2023-04-05 12:08:08,887 EPOCH 126 done: loss 0.0107 - lr 0.006250
2023-04-05 12:08:08,887 Epoch 126: reducing learning rate of group 0 to 3.1250e-03.
2023-04-05 12:08:08,887 BAD EPOCHS (no improvement): 4
2023-04-05 12:08:08,889 ----------------------------------------------------------------------------------------------------
2023-04-05 12:08:10,659 epoch 127 - iter 28/280 - loss 0.01096951 - time (sec): 1.77 - samples/sec: 11948.09 - lr: 0.003125
2023-04-05 12:08:12,444 epoch 127 - iter 56/280 - loss 0.01132439 - time (sec): 3.55 - samples/sec: 11913.84 - lr: 0.003125
2023-04-05 12:08:14,247 epoch 127 - iter 84/280 - loss 0.01073329 - time (sec): 5.36 - samples/sec: 11825.17 - lr: 0.003125
2023-04-05 12:08:16,141 epoch 127 - iter 112/280 - loss 0.01077826 - time (sec): 7.25 - samples/sec: 11719.21 - lr: 0.003125
2023-04-05 12:08:17,911 epoch 127 - iter 140/280 - loss 0.01072616 - time (sec): 9.02 - samples/sec: 11727.39 - lr: 0.003125
2023-04-05 12:08:19,754 epoch 127 - iter 168/280 - loss 0.01064664 - time (sec): 10.86 - samples/sec: 11716.51 - lr: 0.003125
2023-04-05 12:08:21,583 epoch 127 - iter 196/280 - loss 0.01049034 - time (sec): 12.69 - samples/sec: 11683.88 - lr: 0.003125
2023-04-05 12:08:24,830 epoch 127 - iter 224/280 - loss 0.01039444 - time (sec): 15.94 - samples/sec: 10651.48 - lr: 0.003125
2023-04-05 12:08:26,661 epoch 127 - iter 252/280 - loss 0.01036164 - time (sec): 17.77 - samples/sec: 10764.89 - lr: 0.003125
2023-04-05 12:08:28,395 epoch 127 - iter 280/280 - loss 0.01047828 - time (sec): 19.51 - samples/sec: 10853.01 - lr: 0.003125
2023-04-05 12:08:28,395 ----------------------------------------------------------------------------------------------------
2023-04-05 12:08:28,395 EPOCH 127 done: loss 0.0105 - lr 0.003125
2023-04-05 12:08:28,395 BAD EPOCHS (no improvement): 0
2023-04-05 12:08:28,397 ----------------------------------------------------------------------------------------------------
2023-04-05 12:08:30,159 epoch 128 - iter 28/280 - loss 0.01152725 - time (sec): 1.76 - samples/sec: 11866.73 - lr: 0.003125
2023-04-05 12:08:31,957 epoch 128 - iter 56/280 - loss 0.01114723 - time (sec): 3.56 - samples/sec: 11831.14 - lr: 0.003125
2023-04-05 12:08:33,729 epoch 128 - iter 84/280 - loss 0.01110665 - time (sec): 5.33 - samples/sec: 11855.60 - lr: 0.003125
2023-04-05 12:08:35,500 epoch 128 - iter 112/280 - loss 0.01139838 - time (sec): 7.10 - samples/sec: 11873.57 - lr: 0.003125
2023-04-05 12:08:37,244 epoch 128 - iter 140/280 - loss 0.01118654 - time (sec): 8.85 - samples/sec: 11891.05 - lr: 0.003125
2023-04-05 12:08:39,063 epoch 128 - iter 168/280 - loss 0.01120441 - time (sec): 10.67 - samples/sec: 11859.54 - lr: 0.003125
2023-04-05 12:08:40,856 epoch 128 - iter 196/280 - loss 0.01100440 - time (sec): 12.46 - samples/sec: 11855.85 - lr: 0.003125
2023-04-05 12:08:42,713 epoch 128 - iter 224/280 - loss 0.01118472 - time (sec): 14.32 - samples/sec: 11846.22 - lr: 0.003125
2023-04-05 12:08:44,525 epoch 128 - iter 252/280 - loss 0.01128943 - time (sec): 16.13 - samples/sec: 11843.55 - lr: 0.003125
2023-04-05 12:08:46,293 epoch 128 - iter 280/280 - loss 0.01129446 - time (sec): 17.90 - samples/sec: 11829.52 - lr: 0.003125
2023-04-05 12:08:46,293 ----------------------------------------------------------------------------------------------------
2023-04-05 12:08:46,293 EPOCH 128 done: loss 0.0113 - lr 0.003125
2023-04-05 12:08:46,293 BAD EPOCHS (no improvement): 1
2023-04-05 12:08:46,296 ----------------------------------------------------------------------------------------------------
2023-04-05 12:08:48,078 epoch 129 - iter 28/280 - loss 0.01070158 - time (sec): 1.78 - samples/sec: 11630.10 - lr: 0.003125
2023-04-05 12:08:49,871 epoch 129 - iter 56/280 - loss 0.01145810 - time (sec): 3.58 - samples/sec: 11711.22 - lr: 0.003125
2023-04-05 12:08:51,684 epoch 129 - iter 84/280 - loss 0.01160917 - time (sec): 5.39 - samples/sec: 11685.24 - lr: 0.003125
2023-04-05 12:08:53,564 epoch 129 - iter 112/280 - loss 0.01163926 - time (sec): 7.27 - samples/sec: 11623.54 - lr: 0.003125
2023-04-05 12:08:55,380 epoch 129 - iter 140/280 - loss 0.01157989 - time (sec): 9.08 - samples/sec: 11677.40 - lr: 0.003125
2023-04-05 12:08:57,190 epoch 129 - iter 168/280 - loss 0.01142378 - time (sec): 10.89 - samples/sec: 11692.53 - lr: 0.003125
2023-04-05 12:08:59,047 epoch 129 - iter 196/280 - loss 0.01123575 - time (sec): 12.75 - samples/sec: 11686.76 - lr: 0.003125
2023-04-05 12:09:00,856 epoch 129 - iter 224/280 - loss 0.01114607 - time (sec): 14.56 - samples/sec: 11684.40 - lr: 0.003125
2023-04-05 12:09:02,665 epoch 129 - iter 252/280 - loss 0.01111714 - time (sec): 16.37 - samples/sec: 11683.62 - lr: 0.003125
2023-04-05 12:09:04,399 epoch 129 - iter 280/280 - loss 0.01119902 - time (sec): 18.10 - samples/sec: 11693.17 - lr: 0.003125
2023-04-05 12:09:04,400 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:04,400 EPOCH 129 done: loss 0.0112 - lr 0.003125
2023-04-05 12:09:04,400 BAD EPOCHS (no improvement): 2
2023-04-05 12:09:04,403 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:06,156 epoch 130 - iter 28/280 - loss 0.01159306 - time (sec): 1.75 - samples/sec: 12016.95 - lr: 0.003125
2023-04-05 12:09:07,986 epoch 130 - iter 56/280 - loss 0.01042453 - time (sec): 3.58 - samples/sec: 11828.27 - lr: 0.003125
2023-04-05 12:09:09,806 epoch 130 - iter 84/280 - loss 0.01032958 - time (sec): 5.40 - samples/sec: 11759.52 - lr: 0.003125
2023-04-05 12:09:11,653 epoch 130 - iter 112/280 - loss 0.01015716 - time (sec): 7.25 - samples/sec: 11788.63 - lr: 0.003125
2023-04-05 12:09:13,448 epoch 130 - iter 140/280 - loss 0.01064559 - time (sec): 9.05 - samples/sec: 11793.99 - lr: 0.003125
2023-04-05 12:09:15,257 epoch 130 - iter 168/280 - loss 0.01101038 - time (sec): 10.85 - samples/sec: 11798.32 - lr: 0.003125
2023-04-05 12:09:17,075 epoch 130 - iter 196/280 - loss 0.01096947 - time (sec): 12.67 - samples/sec: 11771.87 - lr: 0.003125
2023-04-05 12:09:18,816 epoch 130 - iter 224/280 - loss 0.01129876 - time (sec): 14.41 - samples/sec: 11773.27 - lr: 0.003125
2023-04-05 12:09:20,626 epoch 130 - iter 252/280 - loss 0.01117386 - time (sec): 16.22 - samples/sec: 11781.39 - lr: 0.003125
2023-04-05 12:09:22,355 epoch 130 - iter 280/280 - loss 0.01124787 - time (sec): 17.95 - samples/sec: 11792.03 - lr: 0.003125
2023-04-05 12:09:22,355 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:22,355 EPOCH 130 done: loss 0.0112 - lr 0.003125
2023-04-05 12:09:22,355 BAD EPOCHS (no improvement): 3
2023-04-05 12:09:22,357 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:24,098 epoch 131 - iter 28/280 - loss 0.01274766 - time (sec): 1.74 - samples/sec: 11732.26 - lr: 0.003125
2023-04-05 12:09:25,897 epoch 131 - iter 56/280 - loss 0.01297943 - time (sec): 3.54 - samples/sec: 11670.09 - lr: 0.003125
2023-04-05 12:09:27,746 epoch 131 - iter 84/280 - loss 0.01253925 - time (sec): 5.39 - samples/sec: 11597.76 - lr: 0.003125
2023-04-05 12:09:29,594 epoch 131 - iter 112/280 - loss 0.01193371 - time (sec): 7.24 - samples/sec: 11602.38 - lr: 0.003125
2023-04-05 12:09:31,404 epoch 131 - iter 140/280 - loss 0.01191074 - time (sec): 9.05 - samples/sec: 11628.14 - lr: 0.003125
2023-04-05 12:09:33,216 epoch 131 - iter 168/280 - loss 0.01164349 - time (sec): 10.86 - samples/sec: 11634.36 - lr: 0.003125
2023-04-05 12:09:35,012 epoch 131 - iter 196/280 - loss 0.01139492 - time (sec): 12.65 - samples/sec: 11674.63 - lr: 0.003125
2023-04-05 12:09:36,831 epoch 131 - iter 224/280 - loss 0.01118010 - time (sec): 14.47 - samples/sec: 11670.40 - lr: 0.003125
2023-04-05 12:09:38,696 epoch 131 - iter 252/280 - loss 0.01118353 - time (sec): 16.34 - samples/sec: 11675.20 - lr: 0.003125
2023-04-05 12:09:40,452 epoch 131 - iter 280/280 - loss 0.01105305 - time (sec): 18.10 - samples/sec: 11698.77 - lr: 0.003125
2023-04-05 12:09:40,453 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:40,453 EPOCH 131 done: loss 0.0111 - lr 0.003125
2023-04-05 12:09:40,453 Epoch 131: reducing learning rate of group 0 to 1.5625e-03.
2023-04-05 12:09:40,453 BAD EPOCHS (no improvement): 4
2023-04-05 12:09:40,458 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:42,228 epoch 132 - iter 28/280 - loss 0.00925874 - time (sec): 1.77 - samples/sec: 11817.55 - lr: 0.001563
2023-04-05 12:09:44,037 epoch 132 - iter 56/280 - loss 0.00938656 - time (sec): 3.58 - samples/sec: 11873.20 - lr: 0.001563
2023-04-05 12:09:45,822 epoch 132 - iter 84/280 - loss 0.00937389 - time (sec): 5.36 - samples/sec: 11856.89 - lr: 0.001563
2023-04-05 12:09:47,637 epoch 132 - iter 112/280 - loss 0.00983262 - time (sec): 7.18 - samples/sec: 11802.86 - lr: 0.001563
2023-04-05 12:09:49,484 epoch 132 - iter 140/280 - loss 0.00979822 - time (sec): 9.03 - samples/sec: 11726.72 - lr: 0.001563
2023-04-05 12:09:51,219 epoch 132 - iter 168/280 - loss 0.00966243 - time (sec): 10.76 - samples/sec: 11753.10 - lr: 0.001563
2023-04-05 12:09:53,028 epoch 132 - iter 196/280 - loss 0.01001616 - time (sec): 12.57 - samples/sec: 11783.12 - lr: 0.001563
2023-04-05 12:09:54,851 epoch 132 - iter 224/280 - loss 0.00998480 - time (sec): 14.39 - samples/sec: 11758.14 - lr: 0.001563
2023-04-05 12:09:56,666 epoch 132 - iter 252/280 - loss 0.01020045 - time (sec): 16.21 - samples/sec: 11783.30 - lr: 0.001563
2023-04-05 12:09:58,477 epoch 132 - iter 280/280 - loss 0.01028833 - time (sec): 18.02 - samples/sec: 11748.35 - lr: 0.001563
2023-04-05 12:09:58,477 ----------------------------------------------------------------------------------------------------
2023-04-05 12:09:58,477 EPOCH 132 done: loss 0.0103 - lr 0.001563
2023-04-05 12:09:58,477 BAD EPOCHS (no improvement): 0
2023-04-05 12:09:58,480 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:00,275 epoch 133 - iter 28/280 - loss 0.01116906 - time (sec): 1.80 - samples/sec: 11661.94 - lr: 0.001563
2023-04-05 12:10:02,094 epoch 133 - iter 56/280 - loss 0.01068663 - time (sec): 3.61 - samples/sec: 11637.17 - lr: 0.001563
2023-04-05 12:10:03,896 epoch 133 - iter 84/280 - loss 0.01087141 - time (sec): 5.42 - samples/sec: 11664.15 - lr: 0.001563
2023-04-05 12:10:05,714 epoch 133 - iter 112/280 - loss 0.01074603 - time (sec): 7.23 - samples/sec: 11690.49 - lr: 0.001563
2023-04-05 12:10:07,518 epoch 133 - iter 140/280 - loss 0.01085783 - time (sec): 9.04 - samples/sec: 11673.04 - lr: 0.001563
2023-04-05 12:10:09,280 epoch 133 - iter 168/280 - loss 0.01118264 - time (sec): 10.80 - samples/sec: 11706.96 - lr: 0.001563
2023-04-05 12:10:11,137 epoch 133 - iter 196/280 - loss 0.01105545 - time (sec): 12.66 - samples/sec: 11659.11 - lr: 0.001563
2023-04-05 12:10:13,012 epoch 133 - iter 224/280 - loss 0.01101671 - time (sec): 14.53 - samples/sec: 11690.15 - lr: 0.001563
2023-04-05 12:10:14,865 epoch 133 - iter 252/280 - loss 0.01071504 - time (sec): 16.38 - samples/sec: 11681.95 - lr: 0.001563
2023-04-05 12:10:16,610 epoch 133 - iter 280/280 - loss 0.01080132 - time (sec): 18.13 - samples/sec: 11676.19 - lr: 0.001563
2023-04-05 12:10:16,610 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:16,610 EPOCH 133 done: loss 0.0108 - lr 0.001563
2023-04-05 12:10:16,610 BAD EPOCHS (no improvement): 1
2023-04-05 12:10:16,613 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:18,441 epoch 134 - iter 28/280 - loss 0.01256331 - time (sec): 1.83 - samples/sec: 11730.61 - lr: 0.001563
2023-04-05 12:10:20,299 epoch 134 - iter 56/280 - loss 0.01177924 - time (sec): 3.69 - samples/sec: 11673.17 - lr: 0.001563
2023-04-05 12:10:22,095 epoch 134 - iter 84/280 - loss 0.01130821 - time (sec): 5.48 - samples/sec: 11696.07 - lr: 0.001563
2023-04-05 12:10:23,839 epoch 134 - iter 112/280 - loss 0.01116989 - time (sec): 7.23 - samples/sec: 11725.82 - lr: 0.001563
2023-04-05 12:10:25,652 epoch 134 - iter 140/280 - loss 0.01115525 - time (sec): 9.04 - samples/sec: 11688.71 - lr: 0.001563
2023-04-05 12:10:27,458 epoch 134 - iter 168/280 - loss 0.01134369 - time (sec): 10.84 - samples/sec: 11720.49 - lr: 0.001563
2023-04-05 12:10:29,235 epoch 134 - iter 196/280 - loss 0.01102286 - time (sec): 12.62 - samples/sec: 11703.48 - lr: 0.001563
2023-04-05 12:10:31,002 epoch 134 - iter 224/280 - loss 0.01081519 - time (sec): 14.39 - samples/sec: 11757.46 - lr: 0.001563
2023-04-05 12:10:32,820 epoch 134 - iter 252/280 - loss 0.01085078 - time (sec): 16.21 - samples/sec: 11777.45 - lr: 0.001563
2023-04-05 12:10:34,590 epoch 134 - iter 280/280 - loss 0.01078023 - time (sec): 17.98 - samples/sec: 11775.52 - lr: 0.001563
2023-04-05 12:10:34,591 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:34,591 EPOCH 134 done: loss 0.0108 - lr 0.001563
2023-04-05 12:10:34,591 BAD EPOCHS (no improvement): 2
2023-04-05 12:10:34,593 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:36,336 epoch 135 - iter 28/280 - loss 0.00972761 - time (sec): 1.74 - samples/sec: 12023.34 - lr: 0.001563
2023-04-05 12:10:38,135 epoch 135 - iter 56/280 - loss 0.00962745 - time (sec): 3.54 - samples/sec: 11873.25 - lr: 0.001563
2023-04-05 12:10:39,931 epoch 135 - iter 84/280 - loss 0.01074129 - time (sec): 5.34 - samples/sec: 11832.45 - lr: 0.001563
2023-04-05 12:10:41,739 epoch 135 - iter 112/280 - loss 0.01078364 - time (sec): 7.15 - samples/sec: 11812.60 - lr: 0.001563
2023-04-05 12:10:43,600 epoch 135 - iter 140/280 - loss 0.01101098 - time (sec): 9.01 - samples/sec: 11785.15 - lr: 0.001563
2023-04-05 12:10:45,350 epoch 135 - iter 168/280 - loss 0.01097219 - time (sec): 10.76 - samples/sec: 11777.43 - lr: 0.001563
2023-04-05 12:10:47,230 epoch 135 - iter 196/280 - loss 0.01070514 - time (sec): 12.64 - samples/sec: 11758.67 - lr: 0.001563
2023-04-05 12:10:49,034 epoch 135 - iter 224/280 - loss 0.01082599 - time (sec): 14.44 - samples/sec: 11770.89 - lr: 0.001563
2023-04-05 12:10:50,914 epoch 135 - iter 252/280 - loss 0.01092360 - time (sec): 16.32 - samples/sec: 11714.36 - lr: 0.001563
2023-04-05 12:10:52,671 epoch 135 - iter 280/280 - loss 0.01072125 - time (sec): 18.08 - samples/sec: 11709.46 - lr: 0.001563
2023-04-05 12:10:52,672 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:52,672 EPOCH 135 done: loss 0.0107 - lr 0.001563
2023-04-05 12:10:52,672 BAD EPOCHS (no improvement): 3
2023-04-05 12:10:52,674 ----------------------------------------------------------------------------------------------------
2023-04-05 12:10:54,467 epoch 136 - iter 28/280 - loss 0.01094650 - time (sec): 1.79 - samples/sec: 11686.32 - lr: 0.001563
2023-04-05 12:10:56,267 epoch 136 - iter 56/280 - loss 0.01005064 - time (sec): 3.59 - samples/sec: 11738.90 - lr: 0.001563
2023-04-05 12:10:58,060 epoch 136 - iter 84/280 - loss 0.01025726 - time (sec): 5.39 - samples/sec: 11799.17 - lr: 0.001563
2023-04-05 12:10:59,871 epoch 136 - iter 112/280 - loss 0.01065586 - time (sec): 7.20 - samples/sec: 11827.42 - lr: 0.001563
2023-04-05 12:11:01,678 epoch 136 - iter 140/280 - loss 0.01055461 - time (sec): 9.00 - samples/sec: 11803.89 - lr: 0.001563
2023-04-05 12:11:03,408 epoch 136 - iter 168/280 - loss 0.01069580 - time (sec): 10.73 - samples/sec: 11858.91 - lr: 0.001563
2023-04-05 12:11:05,227 epoch 136 - iter 196/280 - loss 0.01054740 - time (sec): 12.55 - samples/sec: 11805.86 - lr: 0.001563
2023-04-05 12:11:07,023 epoch 136 - iter 224/280 - loss 0.01031011 - time (sec): 14.35 - samples/sec: 11814.10 - lr: 0.001563
2023-04-05 12:11:08,820 epoch 136 - iter 252/280 - loss 0.01034674 - time (sec): 16.15 - samples/sec: 11830.00 - lr: 0.001563
2023-04-05 12:11:10,582 epoch 136 - iter 280/280 - loss 0.01036827 - time (sec): 17.91 - samples/sec: 11821.31 - lr: 0.001563
2023-04-05 12:11:10,582 ----------------------------------------------------------------------------------------------------
2023-04-05 12:11:10,582 EPOCH 136 done: loss 0.0104 - lr 0.001563
2023-04-05 12:11:10,582 Epoch 136: reducing learning rate of group 0 to 7.8125e-04.
2023-04-05 12:11:10,582 BAD EPOCHS (no improvement): 4
2023-04-05 12:11:10,585 ----------------------------------------------------------------------------------------------------
2023-04-05 12:11:12,345 epoch 137 - iter 28/280 - loss 0.01045206 - time (sec): 1.76 - samples/sec: 12024.67 - lr: 0.000781
2023-04-05 12:11:14,122 epoch 137 - iter 56/280 - loss 0.01010636 - time (sec): 3.54 - samples/sec: 12038.35 - lr: 0.000781
2023-04-05 12:11:15,977 epoch 137 - iter 84/280 - loss 0.01048397 - time (sec): 5.39 - samples/sec: 11884.62 - lr: 0.000781
2023-04-05 12:11:17,762 epoch 137 - iter 112/280 - loss 0.01078085 - time (sec): 7.18 - samples/sec: 11861.36 - lr: 0.000781
2023-04-05 12:11:19,548 epoch 137 - iter 140/280 - loss 0.01062931 - time (sec): 8.96 - samples/sec: 11867.66 - lr: 0.000781
2023-04-05 12:11:21,394 epoch 137 - iter 168/280 - loss 0.01044636 - time (sec): 10.81 - samples/sec: 11809.44 - lr: 0.000781
2023-04-05 12:11:23,173 epoch 137 - iter 196/280 - loss 0.01053905 - time (sec): 12.59 - samples/sec: 11782.60 - lr: 0.000781
2023-04-05 12:11:25,005 epoch 137 - iter 224/280 - loss 0.01034119 - time (sec): 14.42 - samples/sec: 11777.53 - lr: 0.000781
2023-04-05 12:11:26,804 epoch 137 - iter 252/280 - loss 0.01045793 - time (sec): 16.22 - samples/sec: 11781.42 - lr: 0.000781
2023-04-05 12:11:28,580 epoch 137 - iter 280/280 - loss 0.01028058 - time (sec): 18.00 - samples/sec: 11763.82 - lr: 0.000781
2023-04-05 12:11:28,581 ----------------------------------------------------------------------------------------------------
2023-04-05 12:11:28,581 EPOCH 137 done: loss 0.0103 - lr 0.000781
2023-04-05 12:11:28,581 BAD EPOCHS (no improvement): 0
2023-04-05 12:11:28,584 ----------------------------------------------------------------------------------------------------
2023-04-05 12:11:30,396 epoch 138 - iter 28/280 - loss 0.01084612 - time (sec): 1.81 - samples/sec: 11636.98 - lr: 0.000781
2023-04-05 12:11:32,201 epoch 138 - iter 56/280 - loss 0.01159855 - time (sec): 3.62 - samples/sec: 11659.29 - lr: 0.000781
2023-04-05 12:11:34,013 epoch 138 - iter 84/280 - loss 0.01204322 - time (sec): 5.43 - samples/sec: 11658.68 - lr: 0.000781
2023-04-05 12:11:35,813 epoch 138 - iter 112/280 - loss 0.01142015 - time (sec): 7.23 - samples/sec: 11642.86 - lr: 0.000781
2023-04-05 12:11:37,607 epoch 138 - iter 140/280 - loss 0.01136237 - time (sec): 9.02 - samples/sec: 11652.33 - lr: 0.000781
2023-04-05 12:11:39,366 epoch 138 - iter 168/280 - loss 0.01105023 - time (sec): 10.78 - samples/sec: 11731.09 - lr: 0.000781
2023-04-05 12:11:41,193 epoch 138 - iter 196/280 - loss 0.01119620 - time (sec): 12.61 - samples/sec: 11749.25 - lr: 0.000781
2023-04-05 12:11:42,983 epoch 138 - iter 224/280 - loss 0.01100213 - time (sec): 14.40 - samples/sec: 11791.58 - lr: 0.000781
2023-04-05 12:11:44,716 epoch 138 - iter 252/280 - loss 0.01097296 - time (sec): 16.13 - samples/sec: 11838.45 - lr: 0.000781
2023-04-05 12:11:46,456 epoch 138 - iter 280/280 - loss 0.01090239 - time (sec): 17.87 - samples/sec: 11845.03 - lr: 0.000781
2023-04-05 12:11:46,456 ----------------------------------------------------------------------------------------------------
2023-04-05 12:11:46,456 EPOCH 138 done: loss 0.0109 - lr 0.000781
2023-04-05 12:11:46,456 BAD EPOCHS (no improvement): 1
2023-04-05 12:11:46,458 ----------------------------------------------------------------------------------------------------
2023-04-05 12:11:48,230 epoch 139 - iter 28/280 - loss 0.00960729 - time (sec): 1.77 - samples/sec: 12200.58 - lr: 0.000781
2023-04-05 12:11:49,988 epoch 139 - iter 56/280 - loss 0.00982174 - time (sec): 3.53 - samples/sec: 12125.24 - lr: 0.000781
2023-04-05 12:11:51,812 epoch 139 - iter 84/280 - loss 0.01052495 - time (sec): 5.35 - samples/sec: 11985.15 - lr: 0.000781
2023-04-05 12:11:53,623 epoch 139 - iter 112/280 - loss 0.01039308 - time (sec): 7.16 - samples/sec: 11855.74 - lr: 0.000781
2023-04-05 12:11:55,416 epoch 139 - iter 140/280 - loss 0.01038677 - time (sec): 8.96 - samples/sec: 11816.64 - lr: 0.000781
2023-04-05 12:11:57,196 epoch 139 - iter 168/280 - loss 0.01008153 - time (sec): 10.74 - samples/sec: 11788.76 - lr: 0.000781
2023-04-05 12:11:58,957 epoch 139 - iter 196/280 - loss 0.00987411 - time (sec): 12.50 - samples/sec: 11810.43 - lr: 0.000781
2023-04-05 12:12:00,771 epoch 139 - iter 224/280 - loss 0.00989098 - time (sec): 14.31 - samples/sec: 11842.11 - lr: 0.000781
2023-04-05 12:12:02,633 epoch 139 - iter 252/280 - loss 0.00990100 - time (sec): 16.17 - samples/sec: 11812.85 - lr: 0.000781
2023-04-05 12:12:04,444 epoch 139 - iter 280/280 - loss 0.00999831 - time (sec): 17.99 - samples/sec: 11770.27 - lr: 0.000781
2023-04-05 12:12:04,444 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:04,444 EPOCH 139 done: loss 0.0100 - lr 0.000781
2023-04-05 12:12:04,444 BAD EPOCHS (no improvement): 0
2023-04-05 12:12:04,447 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:06,208 epoch 140 - iter 28/280 - loss 0.00909391 - time (sec): 1.76 - samples/sec: 11787.57 - lr: 0.000781
2023-04-05 12:12:07,977 epoch 140 - iter 56/280 - loss 0.00860290 - time (sec): 3.53 - samples/sec: 11857.21 - lr: 0.000781
2023-04-05 12:12:09,702 epoch 140 - iter 84/280 - loss 0.00902457 - time (sec): 5.26 - samples/sec: 11911.23 - lr: 0.000781
2023-04-05 12:12:11,526 epoch 140 - iter 112/280 - loss 0.00901790 - time (sec): 7.08 - samples/sec: 11870.37 - lr: 0.000781
2023-04-05 12:12:13,309 epoch 140 - iter 140/280 - loss 0.00961332 - time (sec): 8.86 - samples/sec: 11857.70 - lr: 0.000781
2023-04-05 12:12:15,110 epoch 140 - iter 168/280 - loss 0.00958585 - time (sec): 10.66 - samples/sec: 11885.90 - lr: 0.000781
2023-04-05 12:12:16,906 epoch 140 - iter 196/280 - loss 0.00973194 - time (sec): 12.46 - samples/sec: 11913.09 - lr: 0.000781
2023-04-05 12:12:18,671 epoch 140 - iter 224/280 - loss 0.01007258 - time (sec): 14.22 - samples/sec: 11922.65 - lr: 0.000781
2023-04-05 12:12:20,519 epoch 140 - iter 252/280 - loss 0.01018922 - time (sec): 16.07 - samples/sec: 11869.39 - lr: 0.000781
2023-04-05 12:12:22,307 epoch 140 - iter 280/280 - loss 0.01021125 - time (sec): 17.86 - samples/sec: 11852.94 - lr: 0.000781
2023-04-05 12:12:22,307 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:22,307 EPOCH 140 done: loss 0.0102 - lr 0.000781
2023-04-05 12:12:22,307 BAD EPOCHS (no improvement): 1
2023-04-05 12:12:22,309 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:24,035 epoch 141 - iter 28/280 - loss 0.01073215 - time (sec): 1.73 - samples/sec: 12004.33 - lr: 0.000781
2023-04-05 12:12:25,851 epoch 141 - iter 56/280 - loss 0.01000618 - time (sec): 3.54 - samples/sec: 11890.97 - lr: 0.000781
2023-04-05 12:12:27,636 epoch 141 - iter 84/280 - loss 0.00969786 - time (sec): 5.33 - samples/sec: 11873.27 - lr: 0.000781
2023-04-05 12:12:29,466 epoch 141 - iter 112/280 - loss 0.00987680 - time (sec): 7.16 - samples/sec: 11836.51 - lr: 0.000781
2023-04-05 12:12:31,312 epoch 141 - iter 140/280 - loss 0.00952684 - time (sec): 9.00 - samples/sec: 11825.34 - lr: 0.000781
2023-04-05 12:12:33,160 epoch 141 - iter 168/280 - loss 0.00988177 - time (sec): 10.85 - samples/sec: 11767.49 - lr: 0.000781
2023-04-05 12:12:35,024 epoch 141 - iter 196/280 - loss 0.01014547 - time (sec): 12.71 - samples/sec: 11735.81 - lr: 0.000781
2023-04-05 12:12:36,829 epoch 141 - iter 224/280 - loss 0.01039188 - time (sec): 14.52 - samples/sec: 11730.31 - lr: 0.000781
2023-04-05 12:12:38,605 epoch 141 - iter 252/280 - loss 0.01026791 - time (sec): 16.30 - samples/sec: 11726.45 - lr: 0.000781
2023-04-05 12:12:40,337 epoch 141 - iter 280/280 - loss 0.01022648 - time (sec): 18.03 - samples/sec: 11742.75 - lr: 0.000781
2023-04-05 12:12:40,337 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:40,337 EPOCH 141 done: loss 0.0102 - lr 0.000781
2023-04-05 12:12:40,337 BAD EPOCHS (no improvement): 2
2023-04-05 12:12:40,340 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:42,162 epoch 142 - iter 28/280 - loss 0.01213985 - time (sec): 1.82 - samples/sec: 11752.28 - lr: 0.000781
2023-04-05 12:12:43,935 epoch 142 - iter 56/280 - loss 0.01074658 - time (sec): 3.60 - samples/sec: 11757.81 - lr: 0.000781
2023-04-05 12:12:45,761 epoch 142 - iter 84/280 - loss 0.01102786 - time (sec): 5.42 - samples/sec: 11702.15 - lr: 0.000781
2023-04-05 12:12:47,579 epoch 142 - iter 112/280 - loss 0.01064194 - time (sec): 7.24 - samples/sec: 11733.84 - lr: 0.000781
2023-04-05 12:12:49,405 epoch 142 - iter 140/280 - loss 0.01066783 - time (sec): 9.07 - samples/sec: 11744.35 - lr: 0.000781
2023-04-05 12:12:51,161 epoch 142 - iter 168/280 - loss 0.01059697 - time (sec): 10.82 - samples/sec: 11788.87 - lr: 0.000781
2023-04-05 12:12:52,896 epoch 142 - iter 196/280 - loss 0.01059307 - time (sec): 12.56 - samples/sec: 11847.02 - lr: 0.000781
2023-04-05 12:12:54,721 epoch 142 - iter 224/280 - loss 0.01085592 - time (sec): 14.38 - samples/sec: 11829.15 - lr: 0.000781
2023-04-05 12:12:56,472 epoch 142 - iter 252/280 - loss 0.01093214 - time (sec): 16.13 - samples/sec: 11827.21 - lr: 0.000781
2023-04-05 12:12:58,278 epoch 142 - iter 280/280 - loss 0.01083253 - time (sec): 17.94 - samples/sec: 11801.29 - lr: 0.000781
2023-04-05 12:12:58,278 ----------------------------------------------------------------------------------------------------
2023-04-05 12:12:58,278 EPOCH 142 done: loss 0.0108 - lr 0.000781
2023-04-05 12:12:58,278 BAD EPOCHS (no improvement): 3
2023-04-05 12:12:58,281 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:00,123 epoch 143 - iter 28/280 - loss 0.01267777 - time (sec): 1.84 - samples/sec: 11608.54 - lr: 0.000781
2023-04-05 12:13:01,903 epoch 143 - iter 56/280 - loss 0.01178169 - time (sec): 3.62 - samples/sec: 11745.25 - lr: 0.000781
2023-04-05 12:13:03,730 epoch 143 - iter 84/280 - loss 0.01165349 - time (sec): 5.45 - samples/sec: 11810.74 - lr: 0.000781
2023-04-05 12:13:05,494 epoch 143 - iter 112/280 - loss 0.01065898 - time (sec): 7.21 - samples/sec: 11878.49 - lr: 0.000781
2023-04-05 12:13:07,299 epoch 143 - iter 140/280 - loss 0.01064630 - time (sec): 9.02 - samples/sec: 11866.61 - lr: 0.000781
2023-04-05 12:13:09,088 epoch 143 - iter 168/280 - loss 0.01063665 - time (sec): 10.81 - samples/sec: 11821.23 - lr: 0.000781
2023-04-05 12:13:10,855 epoch 143 - iter 196/280 - loss 0.01071972 - time (sec): 12.57 - samples/sec: 11816.67 - lr: 0.000781
2023-04-05 12:13:12,708 epoch 143 - iter 224/280 - loss 0.01059566 - time (sec): 14.43 - samples/sec: 11810.31 - lr: 0.000781
2023-04-05 12:13:14,537 epoch 143 - iter 252/280 - loss 0.01065342 - time (sec): 16.26 - samples/sec: 11776.92 - lr: 0.000781
2023-04-05 12:13:16,271 epoch 143 - iter 280/280 - loss 0.01066816 - time (sec): 17.99 - samples/sec: 11767.23 - lr: 0.000781
2023-04-05 12:13:16,271 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:16,271 EPOCH 143 done: loss 0.0107 - lr 0.000781
2023-04-05 12:13:16,271 Epoch 143: reducing learning rate of group 0 to 3.9063e-04.
2023-04-05 12:13:16,271 BAD EPOCHS (no improvement): 4
2023-04-05 12:13:16,274 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:18,126 epoch 144 - iter 28/280 - loss 0.01245578 - time (sec): 1.85 - samples/sec: 11673.38 - lr: 0.000391
2023-04-05 12:13:19,913 epoch 144 - iter 56/280 - loss 0.01096762 - time (sec): 3.64 - samples/sec: 11746.34 - lr: 0.000391
2023-04-05 12:13:21,717 epoch 144 - iter 84/280 - loss 0.01102028 - time (sec): 5.44 - samples/sec: 11778.04 - lr: 0.000391
2023-04-05 12:13:23,514 epoch 144 - iter 112/280 - loss 0.01081096 - time (sec): 7.24 - samples/sec: 11787.26 - lr: 0.000391
2023-04-05 12:13:25,308 epoch 144 - iter 140/280 - loss 0.01092085 - time (sec): 9.03 - samples/sec: 11757.57 - lr: 0.000391
2023-04-05 12:13:27,104 epoch 144 - iter 168/280 - loss 0.01081241 - time (sec): 10.83 - samples/sec: 11769.31 - lr: 0.000391
2023-04-05 12:13:28,872 epoch 144 - iter 196/280 - loss 0.01064821 - time (sec): 12.60 - samples/sec: 11784.91 - lr: 0.000391
2023-04-05 12:13:30,674 epoch 144 - iter 224/280 - loss 0.01064948 - time (sec): 14.40 - samples/sec: 11801.91 - lr: 0.000391
2023-04-05 12:13:32,473 epoch 144 - iter 252/280 - loss 0.01080856 - time (sec): 16.20 - samples/sec: 11782.90 - lr: 0.000391
2023-04-05 12:13:34,214 epoch 144 - iter 280/280 - loss 0.01081265 - time (sec): 17.94 - samples/sec: 11799.68 - lr: 0.000391
2023-04-05 12:13:34,215 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:34,215 EPOCH 144 done: loss 0.0108 - lr 0.000391
2023-04-05 12:13:34,215 BAD EPOCHS (no improvement): 1
2023-04-05 12:13:34,217 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:36,042 epoch 145 - iter 28/280 - loss 0.01026302 - time (sec): 1.82 - samples/sec: 11564.35 - lr: 0.000391
2023-04-05 12:13:37,829 epoch 145 - iter 56/280 - loss 0.01016126 - time (sec): 3.61 - samples/sec: 11710.48 - lr: 0.000391
2023-04-05 12:13:39,553 epoch 145 - iter 84/280 - loss 0.01030744 - time (sec): 5.34 - samples/sec: 11808.22 - lr: 0.000391
2023-04-05 12:13:41,333 epoch 145 - iter 112/280 - loss 0.01021951 - time (sec): 7.12 - samples/sec: 11848.26 - lr: 0.000391
2023-04-05 12:13:43,137 epoch 145 - iter 140/280 - loss 0.01010803 - time (sec): 8.92 - samples/sec: 11837.10 - lr: 0.000391
2023-04-05 12:13:44,965 epoch 145 - iter 168/280 - loss 0.01026575 - time (sec): 10.75 - samples/sec: 11791.27 - lr: 0.000391
2023-04-05 12:13:46,788 epoch 145 - iter 196/280 - loss 0.01036926 - time (sec): 12.57 - samples/sec: 11755.39 - lr: 0.000391
2023-04-05 12:13:48,580 epoch 145 - iter 224/280 - loss 0.01050502 - time (sec): 14.36 - samples/sec: 11787.43 - lr: 0.000391
2023-04-05 12:13:50,375 epoch 145 - iter 252/280 - loss 0.01034817 - time (sec): 16.16 - samples/sec: 11775.85 - lr: 0.000391
2023-04-05 12:13:52,216 epoch 145 - iter 280/280 - loss 0.01032713 - time (sec): 18.00 - samples/sec: 11761.27 - lr: 0.000391
2023-04-05 12:13:52,216 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:52,216 EPOCH 145 done: loss 0.0103 - lr 0.000391
2023-04-05 12:13:52,216 BAD EPOCHS (no improvement): 2
2023-04-05 12:13:52,219 ----------------------------------------------------------------------------------------------------
2023-04-05 12:13:54,040 epoch 146 - iter 28/280 - loss 0.01250359 - time (sec): 1.82 - samples/sec: 11528.75 - lr: 0.000391
2023-04-05 12:13:55,850 epoch 146 - iter 56/280 - loss 0.01095527 - time (sec): 3.63 - samples/sec: 11754.23 - lr: 0.000391
2023-04-05 12:13:57,619 epoch 146 - iter 84/280 - loss 0.01084596 - time (sec): 5.40 - samples/sec: 11811.85 - lr: 0.000391
2023-04-05 12:13:59,439 epoch 146 - iter 112/280 - loss 0.01055029 - time (sec): 7.22 - samples/sec: 11827.54 - lr: 0.000391
2023-04-05 12:14:01,251 epoch 146 - iter 140/280 - loss 0.01046470 - time (sec): 9.03 - samples/sec: 11788.31 - lr: 0.000391
2023-04-05 12:14:03,103 epoch 146 - iter 168/280 - loss 0.01049046 - time (sec): 10.88 - samples/sec: 11727.81 - lr: 0.000391
2023-04-05 12:14:04,854 epoch 146 - iter 196/280 - loss 0.01039761 - time (sec): 12.64 - samples/sec: 11776.26 - lr: 0.000391
2023-04-05 12:14:06,612 epoch 146 - iter 224/280 - loss 0.01050378 - time (sec): 14.39 - samples/sec: 11773.26 - lr: 0.000391
2023-04-05 12:14:08,410 epoch 146 - iter 252/280 - loss 0.01050673 - time (sec): 16.19 - samples/sec: 11779.91 - lr: 0.000391
2023-04-05 12:14:10,174 epoch 146 - iter 280/280 - loss 0.01049592 - time (sec): 17.95 - samples/sec: 11790.35 - lr: 0.000391
2023-04-05 12:14:10,174 ----------------------------------------------------------------------------------------------------
2023-04-05 12:14:10,174 EPOCH 146 done: loss 0.0105 - lr 0.000391
2023-04-05 12:14:10,174 BAD EPOCHS (no improvement): 3
2023-04-05 12:14:10,177 ----------------------------------------------------------------------------------------------------
2023-04-05 12:14:11,964 epoch 147 - iter 28/280 - loss 0.01157791 - time (sec): 1.79 - samples/sec: 11865.70 - lr: 0.000391
2023-04-05 12:14:13,676 epoch 147 - iter 56/280 - loss 0.01138951 - time (sec): 3.50 - samples/sec: 11862.77 - lr: 0.000391
2023-04-05 12:14:15,451 epoch 147 - iter 84/280 - loss 0.01136762 - time (sec): 5.27 - samples/sec: 11856.88 - lr: 0.000391
2023-04-05 12:14:17,212 epoch 147 - iter 112/280 - loss 0.01112186 - time (sec): 7.04 - samples/sec: 11922.89 - lr: 0.000391
2023-04-05 12:14:19,010 epoch 147 - iter 140/280 - loss 0.01106003 - time (sec): 8.83 - samples/sec: 11938.49 - lr: 0.000391
2023-04-05 12:14:20,838 epoch 147 - iter 168/280 - loss 0.01063220 - time (sec): 10.66 - samples/sec: 11889.00 - lr: 0.000391
2023-04-05 12:14:22,633 epoch 147 - iter 196/280 - loss 0.01074291 - time (sec): 12.46 - samples/sec: 11907.22 - lr: 0.000391
2023-04-05 12:14:24,456 epoch 147 - iter 224/280 - loss 0.01055046 - time (sec): 14.28 - samples/sec: 11893.95 - lr: 0.000391
2023-04-05 12:14:26,284 epoch 147 - iter 252/280 - loss 0.01051517 - time (sec): 16.11 - samples/sec: 11851.17 - lr: 0.000391
2023-04-05 12:14:28,116 epoch 147 - iter 280/280 - loss 0.01035595 - time (sec): 17.94 - samples/sec: 11800.58 - lr: 0.000391
2023-04-05 12:14:28,116 ----------------------------------------------------------------------------------------------------
2023-04-05 12:14:28,116 EPOCH 147 done: loss 0.0104 - lr 0.000391
2023-04-05 12:14:28,116 Epoch 147: reducing learning rate of group 0 to 1.9531e-04.
2023-04-05 12:14:28,116 BAD EPOCHS (no improvement): 4
2023-04-05 12:14:28,119 ----------------------------------------------------------------------------------------------------
2023-04-05 12:14:29,968 epoch 148 - iter 28/280 - loss 0.01297738 - time (sec): 1.85 - samples/sec: 11690.09 - lr: 0.000195
2023-04-05 12:14:31,795 epoch 148 - iter 56/280 - loss 0.01176461 - time (sec): 3.68 - samples/sec: 11643.62 - lr: 0.000195
2023-04-05 12:14:33,617 epoch 148 - iter 84/280 - loss 0.01069930 - time (sec): 5.50 - samples/sec: 11613.13 - lr: 0.000195
2023-04-05 12:14:35,330 epoch 148 - iter 112/280 - loss 0.01032601 - time (sec): 7.21 - samples/sec: 11727.87 - lr: 0.000195
2023-04-05 12:14:37,096 epoch 148 - iter 140/280 - loss 0.01041431 - time (sec): 8.98 - samples/sec: 11750.46 - lr: 0.000195
2023-04-05 12:14:38,866 epoch 148 - iter 168/280 - loss 0.01027550 - time (sec): 10.75 - samples/sec: 11801.32 - lr: 0.000195
2023-04-05 12:14:40,655 epoch 148 - iter 196/280 - loss 0.01055545 - time (sec): 12.54 - samples/sec: 11803.11 - lr: 0.000195
2023-04-05 12:14:42,483 epoch 148 - iter 224/280 - loss 0.01045086 - time (sec): 14.36 - samples/sec: 11812.36 - lr: 0.000195
2023-04-05 12:14:44,302 epoch 148 - iter 252/280 - loss 0.01041031 - time (sec): 16.18 - samples/sec: 11801.98 - lr: 0.000195
2023-04-05 12:14:46,062 epoch 148 - iter 280/280 - loss 0.01036047 - time (sec): 17.94 - samples/sec: 11798.00 - lr: 0.000195
2023-04-05 12:14:46,062 ----------------------------------------------------------------------------------------------------
2023-04-05 12:14:46,062 EPOCH 148 done: loss 0.0104 - lr 0.000195
2023-04-05 12:14:46,062 BAD EPOCHS (no improvement): 1
2023-04-05 12:14:46,065 ----------------------------------------------------------------------------------------------------
2023-04-05 12:14:47,836 epoch 149 - iter 28/280 - loss 0.01148945 - time (sec): 1.77 - samples/sec: 12126.88 - lr: 0.000195
2023-04-05 12:14:49,636 epoch 149 - iter 56/280 - loss 0.01007240 - time (sec): 3.57 - samples/sec: 11983.05 - lr: 0.000195
2023-04-05 12:14:51,423 epoch 149 - iter 84/280 - loss 0.01100695 - time (sec): 5.36 - samples/sec: 11949.38 - lr: 0.000195
2023-04-05 12:14:53,231 epoch 149 - iter 112/280 - loss 0.01096823 - time (sec): 7.17 - samples/sec: 11962.80 - lr: 0.000195
2023-04-05 12:14:55,038 epoch 149 - iter 140/280 - loss 0.01088771 - time (sec): 8.97 - samples/sec: 11930.03 - lr: 0.000195
2023-04-05 12:14:56,868 epoch 149 - iter 168/280 - loss 0.01070884 - time (sec): 10.80 - samples/sec: 11840.10 - lr: 0.000195
2023-04-05 12:14:58,709 epoch 149 - iter 196/280 - loss 0.01078719 - time (sec): 12.64 - samples/sec: 11788.73 - lr: 0.000195
2023-04-05 12:15:00,460 epoch 149 - iter 224/280 - loss 0.01081691 - time (sec): 14.39 - samples/sec: 11782.86 - lr: 0.000195
2023-04-05 12:15:02,316 epoch 149 - iter 252/280 - loss 0.01083639 - time (sec): 16.25 - samples/sec: 11752.66 - lr: 0.000195
2023-04-05 12:15:04,061 epoch 149 - iter 280/280 - loss 0.01075966 - time (sec): 18.00 - samples/sec: 11763.32 - lr: 0.000195
2023-04-05 12:15:04,061 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:04,061 EPOCH 149 done: loss 0.0108 - lr 0.000195
2023-04-05 12:15:04,061 BAD EPOCHS (no improvement): 2
2023-04-05 12:15:04,064 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:05,829 epoch 150 - iter 28/280 - loss 0.01103959 - time (sec): 1.76 - samples/sec: 11907.88 - lr: 0.000195
2023-04-05 12:15:07,702 epoch 150 - iter 56/280 - loss 0.01115773 - time (sec): 3.64 - samples/sec: 11648.54 - lr: 0.000195
2023-04-05 12:15:09,525 epoch 150 - iter 84/280 - loss 0.01086519 - time (sec): 5.46 - samples/sec: 11743.26 - lr: 0.000195
2023-04-05 12:15:11,349 epoch 150 - iter 112/280 - loss 0.01100287 - time (sec): 7.28 - samples/sec: 11737.32 - lr: 0.000195
2023-04-05 12:15:13,149 epoch 150 - iter 140/280 - loss 0.01119393 - time (sec): 9.08 - samples/sec: 11751.70 - lr: 0.000195
2023-04-05 12:15:14,894 epoch 150 - iter 168/280 - loss 0.01122796 - time (sec): 10.83 - samples/sec: 11812.41 - lr: 0.000195
2023-04-05 12:15:16,670 epoch 150 - iter 196/280 - loss 0.01098057 - time (sec): 12.61 - samples/sec: 11798.01 - lr: 0.000195
2023-04-05 12:15:18,448 epoch 150 - iter 224/280 - loss 0.01097500 - time (sec): 14.38 - samples/sec: 11810.44 - lr: 0.000195
2023-04-05 12:15:20,345 epoch 150 - iter 252/280 - loss 0.01104126 - time (sec): 16.28 - samples/sec: 11749.38 - lr: 0.000195
2023-04-05 12:15:22,124 epoch 150 - iter 280/280 - loss 0.01096389 - time (sec): 18.06 - samples/sec: 11721.30 - lr: 0.000195
2023-04-05 12:15:22,125 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:22,125 EPOCH 150 done: loss 0.0110 - lr 0.000195
2023-04-05 12:15:22,125 BAD EPOCHS (no improvement): 3
2023-04-05 12:15:23,401 ----------------------------------------------------------------------------------------------------
2023-04-05 12:15:23,402 Testing using last state of model ...
2023-04-05 12:15:32,233 Evaluating as a multi-label problem: False
2023-04-05 12:15:32,332 0.9642 0.964 0.9641 0.937
2023-04-05 12:15:32,332
Results:
- F-score (micro) 0.9641
- F-score (macro) 0.8041
- Accuracy 0.937
By class:
precision recall f1-score support
NP 0.9707 0.9678 0.9692 12422
PP 0.9837 0.9890 0.9863 4811
VP 0.9641 0.9674 0.9657 4658
ADVP 0.8685 0.8614 0.8649 866
SBAR 0.9402 0.9402 0.9402 535
ADJP 0.8500 0.8151 0.8322 438
PRT 0.7623 0.8774 0.8158 106
CONJP 0.5833 0.7778 0.6667 9
LST 0.0000 0.0000 0.0000 5
INTJ 1.0000 1.0000 1.0000 2
micro avg 0.9642 0.9640 0.9641 23852
macro avg 0.7923 0.8196 0.8041 23852
weighted avg 0.9641 0.9640 0.9640 23852
2023-04-05 12:15:32,332 ----------------------------------------------------------------------------------------------------
|