text
stringlengths 54
260
|
---|
06-07 07:25 - modeling.trainer - INFO - train - iter 90800: loss 3.1360, time 5.11s
|
06-07 07:25 - modeling.trainer - INFO - train - iter 90850: loss 3.1347, time 5.11s
|
06-07 07:25 - modeling.trainer - INFO - train - iter 90900: loss 3.1295, time 5.10s
|
06-07 07:25 - modeling.trainer - INFO - train - iter 90950: loss 3.1318, time 5.10s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91000: loss 3.1305, time 5.11s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91050: loss 3.1324, time 5.12s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91100: loss 3.1359, time 5.11s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91150: loss 3.1382, time 5.12s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91200: loss 3.1387, time 5.11s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91250: loss 3.1313, time 5.11s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91300: loss 3.1307, time 5.11s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91350: loss 3.1324, time 5.10s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91400: loss 3.1285, time 5.09s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91450: loss 3.1284, time 5.09s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91500: loss 3.1323, time 5.09s
|
06-07 07:26 - modeling.trainer - INFO - train - iter 91550: loss 3.1418, time 5.10s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91600: loss 3.1420, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91650: loss 3.1415, time 5.10s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91700: loss 3.1492, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91750: loss 3.1420, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91800: loss 3.1399, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91850: loss 3.1393, time 5.10s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91900: loss 3.1294, time 5.76s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 91950: loss 3.1289, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 92000: loss 3.1334, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 92050: loss 3.1329, time 5.09s
|
06-07 07:27 - modeling.trainer - INFO - train - iter 92100: loss 3.1292, time 5.09s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92150: loss 3.1292, time 5.09s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92200: loss 3.1390, time 5.09s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92250: loss 3.1382, time 5.10s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92300: loss 3.1292, time 5.09s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92350: loss 3.1315, time 5.09s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92400: loss 3.1229, time 5.10s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92450: loss 3.1165, time 5.11s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92500: loss 3.1306, time 5.11s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92550: loss 3.1345, time 5.11s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92600: loss 3.1352, time 5.11s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92650: loss 3.1420, time 5.10s
|
06-07 07:28 - modeling.trainer - INFO - train - iter 92700: loss 3.1292, time 5.11s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 92750: loss 3.1204, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 92800: loss 3.1194, time 5.11s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 92850: loss 3.1270, time 5.10s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 92900: loss 3.1290, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 92950: loss 3.1264, time 5.10s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93000: loss 3.1271, time 5.10s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93050: loss 3.1230, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93100: loss 3.1264, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93150: loss 3.1269, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93200: loss 3.1234, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93250: loss 3.1251, time 5.09s
|
06-07 07:29 - modeling.trainer - INFO - train - iter 93300: loss 3.1341, time 5.09s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93350: loss 3.1319, time 5.10s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93400: loss 3.1287, time 5.10s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93450: loss 3.1299, time 5.10s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93500: loss 3.1292, time 5.08s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93550: loss 3.1217, time 5.08s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93600: loss 3.1233, time 5.09s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93650: loss 3.1285, time 5.72s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93700: loss 3.1188, time 5.09s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93750: loss 3.1259, time 5.08s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93800: loss 3.1365, time 5.09s
|
06-07 07:30 - modeling.trainer - INFO - train - iter 93850: loss 3.1376, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 93900: loss 3.1359, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 93950: loss 3.1320, time 5.08s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94000: loss 3.1334, time 5.08s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94050: loss 3.1309, time 5.08s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94100: loss 3.1229, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94150: loss 3.1236, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94200: loss 3.1312, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94250: loss 3.1334, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94300: loss 3.1326, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94350: loss 3.1336, time 5.10s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94400: loss 3.1311, time 5.09s
|
06-07 07:31 - modeling.trainer - INFO - train - iter 94450: loss 3.1290, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94500: loss 3.1336, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94550: loss 3.1308, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94600: loss 3.1229, time 5.08s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94650: loss 3.1252, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94700: loss 3.1283, time 5.08s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94750: loss 3.1248, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94800: loss 3.1304, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94850: loss 3.1328, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94900: loss 3.1279, time 5.08s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 94950: loss 3.1138, time 5.09s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 95000: loss 3.1087, time 5.08s
|
06-07 07:32 - modeling.trainer - INFO - train - iter 95050: loss 3.1272, time 5.08s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95100: loss 3.1330, time 5.09s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95150: loss 3.1309, time 5.08s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95200: loss 3.1314, time 5.08s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95250: loss 3.1314, time 5.09s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95300: loss 3.1235, time 5.08s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95350: loss 3.1210, time 5.09s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95400: loss 3.1256, time 5.80s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95450: loss 3.1214, time 5.11s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95500: loss 3.1213, time 5.09s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95550: loss 3.1222, time 5.09s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95600: loss 3.1209, time 5.09s
|
06-07 07:33 - modeling.trainer - INFO - train - iter 95650: loss 3.1230, time 5.08s
|
06-07 07:34 - modeling.trainer - INFO - train - iter 95700: loss 3.1226, time 5.08s
|
06-07 07:34 - modeling.trainer - INFO - train - iter 95750: loss 3.1189, time 5.08s
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.