Datasets:
yimingzhang
/
allie-models

Dataset card Data Studio Files
xet
Community
1
text
stringlengths
54
260
06-07 07:08 - modeling.trainer - INFO - train - iter 81000: loss 3.1465, time 5.08s
06-07 07:08 - modeling.trainer - INFO - train - iter 81050: loss 3.1436, time 5.07s
06-07 07:08 - modeling.trainer - INFO - train - iter 81100: loss 3.1485, time 5.06s
06-07 07:09 - modeling.trainer - INFO - train - iter 81150: loss 3.1512, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81200: loss 3.1414, time 5.06s
06-07 07:09 - modeling.trainer - INFO - train - iter 81250: loss 3.1514, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81300: loss 3.1572, time 5.08s
06-07 07:09 - modeling.trainer - INFO - train - iter 81350: loss 3.1477, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81400: loss 3.1380, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81450: loss 3.1386, time 5.73s
06-07 07:09 - modeling.trainer - INFO - train - iter 81500: loss 3.1400, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81550: loss 3.1468, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81600: loss 3.1532, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81650: loss 3.1544, time 5.07s
06-07 07:09 - modeling.trainer - INFO - train - iter 81700: loss 3.1556, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 81750: loss 3.1444, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 81800: loss 3.1370, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 81850: loss 3.1404, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 81900: loss 3.1438, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 81950: loss 3.1411, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82000: loss 3.1338, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82050: loss 3.1351, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82100: loss 3.1433, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82150: loss 3.1492, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82200: loss 3.1502, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82250: loss 3.1392, time 5.07s
06-07 07:10 - modeling.trainer - INFO - train - iter 82300: loss 3.1384, time 5.08s
06-07 07:11 - modeling.trainer - INFO - train - iter 82350: loss 3.1422, time 5.08s
06-07 07:11 - modeling.trainer - INFO - train - iter 82400: loss 3.1389, time 5.07s
06-07 07:11 - modeling.trainer - INFO - train - iter 82450: loss 3.1453, time 5.08s
06-07 07:11 - modeling.trainer - INFO - train - iter 82500: loss 3.1471, time 5.08s
06-07 07:11 - modeling.trainer - INFO - train - iter 82550: loss 3.1432, time 5.08s
06-07 07:11 - modeling.trainer - INFO - train - iter 82600: loss 3.1435, time 5.09s
06-07 07:11 - modeling.trainer - INFO - train - iter 82650: loss 3.1432, time 5.08s
06-07 07:11 - modeling.trainer - INFO - train - iter 82700: loss 3.1432, time 5.09s
06-07 07:11 - modeling.trainer - INFO - train - iter 82750: loss 3.1441, time 5.10s
06-07 07:11 - modeling.trainer - INFO - train - iter 82800: loss 3.1399, time 5.09s
06-07 07:11 - modeling.trainer - INFO - train - iter 82850: loss 3.1419, time 5.09s
06-07 07:11 - modeling.trainer - INFO - train - iter 82900: loss 3.1556, time 5.07s
06-07 07:12 - modeling.trainer - INFO - train - iter 82950: loss 3.1534, time 5.09s
06-07 07:12 - modeling.trainer - INFO - train - iter 83000: loss 3.1494, time 5.09s
06-07 07:12 - modeling.trainer - INFO - train - iter 83050: loss 3.1488, time 5.07s
06-07 07:12 - modeling.trainer - INFO - train - iter 83100: loss 3.1425, time 5.07s
06-07 07:12 - modeling.trainer - INFO - train - iter 83150: loss 3.1429, time 5.07s
06-07 07:12 - modeling.trainer - INFO - train - iter 83200: loss 3.1390, time 5.76s
06-07 07:12 - modeling.trainer - INFO - train - iter 83250: loss 3.1425, time 5.08s
06-07 07:12 - modeling.trainer - INFO - train - iter 83300: loss 3.1544, time 5.08s
06-07 07:12 - modeling.trainer - INFO - train - iter 83350: loss 3.1460, time 5.08s
06-07 07:12 - modeling.trainer - INFO - train - iter 83400: loss 3.1411, time 5.08s
06-07 07:12 - modeling.trainer - INFO - train - iter 83450: loss 3.1484, time 5.08s
06-07 07:13 - modeling.trainer - INFO - train - iter 83500: loss 3.1444, time 5.09s
06-07 07:13 - modeling.trainer - INFO - train - iter 83550: loss 3.1449, time 5.10s
06-07 07:13 - modeling.trainer - INFO - train - iter 83600: loss 3.1461, time 5.09s
06-07 07:13 - modeling.trainer - INFO - train - iter 83650: loss 3.1497, time 5.09s
06-07 07:13 - modeling.trainer - INFO - train - iter 83700: loss 3.1478, time 5.10s
06-07 07:13 - modeling.trainer - INFO - train - iter 83750: loss 3.1458, time 5.13s
06-07 07:13 - modeling.trainer - INFO - train - iter 83800: loss 3.1538, time 5.09s
06-07 07:13 - modeling.trainer - INFO - train - iter 83850: loss 3.1454, time 5.08s
06-07 07:13 - modeling.trainer - INFO - train - iter 83900: loss 3.1375, time 5.08s
06-07 07:13 - modeling.trainer - INFO - train - iter 83950: loss 3.1458, time 5.08s
06-07 07:13 - modeling.trainer - INFO - train - iter 84000: loss 3.1559, time 5.11s
06-07 07:13 - modeling.trainer - INFO - train - iter 84050: loss 3.1552, time 5.08s
06-07 07:14 - modeling.trainer - INFO - train - iter 84100: loss 3.1547, time 5.08s
06-07 07:14 - modeling.trainer - INFO - train - iter 84150: loss 3.1408, time 5.08s
06-07 07:14 - modeling.trainer - INFO - train - iter 84200: loss 3.1337, time 5.07s
06-07 07:14 - modeling.trainer - INFO - train - iter 84250: loss 3.1383, time 5.08s
06-07 07:14 - modeling.trainer - INFO - train - iter 84300: loss 3.1407, time 5.09s
06-07 07:14 - modeling.trainer - INFO - train - iter 84350: loss 3.1480, time 5.08s
06-07 07:14 - modeling.trainer - INFO - train - iter 84400: loss 3.1434, time 5.09s
06-07 07:14 - modeling.trainer - INFO - train - iter 84450: loss 3.1394, time 5.08s
06-07 07:14 - modeling.trainer - INFO - train - iter 84500: loss 3.1437, time 5.15s
06-07 07:14 - modeling.trainer - INFO - train - iter 84550: loss 3.1431, time 5.18s
06-07 07:14 - modeling.trainer - INFO - train - iter 84600: loss 3.1383, time 5.12s
06-07 07:14 - modeling.trainer - INFO - train - iter 84650: loss 3.1419, time 5.09s
06-07 07:15 - modeling.trainer - INFO - train - iter 84700: loss 3.1513, time 5.07s
06-07 07:15 - modeling.trainer - INFO - train - iter 84750: loss 3.1487, time 5.08s
06-07 07:15 - modeling.trainer - INFO - train - iter 84800: loss 3.1411, time 5.08s
06-07 07:15 - modeling.trainer - INFO - train - iter 84850: loss 3.1417, time 5.10s
06-07 07:15 - modeling.trainer - INFO - train - iter 84900: loss 3.1411, time 5.07s
06-07 07:15 - modeling.trainer - INFO - train - iter 84950: loss 3.1448, time 5.75s
06-07 07:15 - modeling.trainer - INFO - train - iter 85000: loss 3.1452, time 5.08s
06-07 07:15 - modeling.trainer - INFO - train - iter 85050: loss 3.1364, time 5.07s
06-07 07:15 - modeling.trainer - INFO - train - iter 85100: loss 3.1256, time 5.08s
06-07 07:15 - modeling.trainer - INFO - train - iter 85150: loss 3.1314, time 5.09s
06-07 07:15 - modeling.trainer - INFO - train - iter 85200: loss 3.1420, time 5.08s
06-07 07:15 - modeling.trainer - INFO - train - iter 85250: loss 3.1372, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85300: loss 3.1347, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85350: loss 3.1376, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85400: loss 3.1383, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85450: loss 3.1375, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85500: loss 3.1352, time 5.07s
06-07 07:16 - modeling.trainer - INFO - train - iter 85550: loss 3.1377, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85600: loss 3.1409, time 5.07s
06-07 07:16 - modeling.trainer - INFO - train - iter 85650: loss 3.1440, time 5.08s
06-07 07:16 - modeling.trainer - INFO - train - iter 85700: loss 3.1427, time 5.07s
06-07 07:16 - modeling.trainer - INFO - train - iter 85750: loss 3.1401, time 5.07s
06-07 07:16 - modeling.trainer - INFO - train - iter 85800: loss 3.1420, time 5.07s
06-07 07:17 - modeling.trainer - INFO - train - iter 85850: loss 3.1374, time 5.08s
06-07 07:17 - modeling.trainer - INFO - train - iter 85900: loss 3.1360, time 5.09s
06-07 07:17 - modeling.trainer - INFO - train - iter 85950: loss 3.1386, time 5.09s