bigscience-bot commited on
Commit
a76e390
·
1 Parent(s): 1c7d906
Files changed (1) hide show
  1. logs/main_log.txt +69 -0
logs/main_log.txt CHANGED
@@ -87027,3 +87027,72 @@ time (ms)
87027
  time (ms)
87028
  iteration 1325/ 292968 | consumed samples: 2713600 | consumed tokens: 262094848 | elapsed time per iteration (ms): 113595.4 | learning rate: 7.236E-05 | global batch size: 2048 | lm loss: 4.305782E+00 | loss scale: 16384.0 | grad norm: 9792.060 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87029
  time (ms)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87027
  time (ms)
87028
  iteration 1325/ 292968 | consumed samples: 2713600 | consumed tokens: 262094848 | elapsed time per iteration (ms): 113595.4 | learning rate: 7.236E-05 | global batch size: 2048 | lm loss: 4.305782E+00 | loss scale: 16384.0 | grad norm: 9792.060 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87029
  time (ms)
87030
+ iteration 1326/ 292968 | consumed samples: 2715648 | consumed tokens: 262373376 | elapsed time per iteration (ms): 106966.1 | learning rate: 7.242E-05 | global batch size: 2048 | lm loss: 4.298875E+00 | loss scale: 16384.0 | grad norm: 9256.978 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87031
+ time (ms)
87032
+ iteration 1327/ 292968 | consumed samples: 2717696 | consumed tokens: 262651904 | elapsed time per iteration (ms): 112772.2 | learning rate: 7.247E-05 | global batch size: 2048 | lm loss: 4.275658E+00 | loss scale: 16384.0 | grad norm: 12353.776 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87033
+ time (ms)
87034
+ iteration 1328/ 292968 | consumed samples: 2719744 | consumed tokens: 262930432 | elapsed time per iteration (ms): 116094.4 | learning rate: 7.253E-05 | global batch size: 2048 | lm loss: 4.294221E+00 | loss scale: 16384.0 | grad norm: 15819.284 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87035
+ time (ms)
87036
+ iteration 1329/ 292968 | consumed samples: 2721792 | consumed tokens: 263208960 | elapsed time per iteration (ms): 108861.8 | learning rate: 7.258E-05 | global batch size: 2048 | lm loss: 4.278796E+00 | loss scale: 16384.0 | grad norm: 14416.408 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87037
+ time (ms)
87038
+ iteration 1330/ 292968 | consumed samples: 2723840 | consumed tokens: 263487488 | elapsed time per iteration (ms): 111717.3 | learning rate: 7.264E-05 | global batch size: 2048 | lm loss: 4.279788E+00 | loss scale: 16384.0 | grad norm: 10858.691 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87039
+ time (ms)
87040
+ iteration 1331/ 292968 | consumed samples: 2725888 | consumed tokens: 263766016 | elapsed time per iteration (ms): 106840.2 | learning rate: 7.269E-05 | global batch size: 2048 | lm loss: 4.321123E+00 | loss scale: 16384.0 | grad norm: 16413.887 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87041
+ time (ms)
87042
+ iteration 1332/ 292968 | consumed samples: 2727936 | consumed tokens: 264044544 | elapsed time per iteration (ms): 105046.3 | learning rate: 7.274E-05 | global batch size: 2048 | lm loss: 4.286259E+00 | loss scale: 16384.0 | grad norm: 13602.333 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87043
+ time (ms)
87044
+ iteration 1333/ 292968 | consumed samples: 2729984 | consumed tokens: 264323072 | elapsed time per iteration (ms): 103539.0 | learning rate: 7.280E-05 | global batch size: 2048 | lm loss: 4.311579E+00 | loss scale: 16384.0 | grad norm: 12268.700 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87045
+ time (ms)
87046
+ iteration 1334/ 292968 | consumed samples: 2732032 | consumed tokens: 264601600 | elapsed time per iteration (ms): 104597.9 | learning rate: 7.285E-05 | global batch size: 2048 | lm loss: 4.297973E+00 | loss scale: 16384.0 | grad norm: 11817.463 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87047
+ time (ms)
87048
+ iteration 1335/ 292968 | consumed samples: 2734080 | consumed tokens: 264880128 | elapsed time per iteration (ms): 106853.2 | learning rate: 7.291E-05 | global batch size: 2048 | lm loss: 4.288142E+00 | loss scale: 16384.0 | grad norm: 9158.477 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87049
+ time (ms)
87050
+ iteration 1336/ 292968 | consumed samples: 2736128 | consumed tokens: 265158656 | elapsed time per iteration (ms): 109768.8 | learning rate: 7.296E-05 | global batch size: 2048 | lm loss: 4.275808E+00 | loss scale: 16384.0 | grad norm: 9550.713 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87051
+ time (ms)
87052
+ iteration 1337/ 292968 | consumed samples: 2738176 | consumed tokens: 265437184 | elapsed time per iteration (ms): 106402.4 | learning rate: 7.302E-05 | global batch size: 2048 | lm loss: 4.278894E+00 | loss scale: 16384.0 | grad norm: 8149.629 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87053
+ time (ms)
87054
+ iteration 1338/ 292968 | consumed samples: 2740224 | consumed tokens: 265715712 | elapsed time per iteration (ms): 104883.4 | learning rate: 7.307E-05 | global batch size: 2048 | lm loss: 4.285826E+00 | loss scale: 16384.0 | grad norm: 8283.185 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87055
+ time (ms)
87056
+ iteration 1339/ 292968 | consumed samples: 2742272 | consumed tokens: 265994240 | elapsed time per iteration (ms): 105272.5 | learning rate: 7.313E-05 | global batch size: 2048 | lm loss: 4.284776E+00 | loss scale: 16384.0 | grad norm: 8637.702 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87057
+ time (ms)
87058
+ iteration 1340/ 292968 | consumed samples: 2744320 | consumed tokens: 266272768 | elapsed time per iteration (ms): 102678.5 | learning rate: 7.318E-05 | global batch size: 2048 | lm loss: 4.302094E+00 | loss scale: 16384.0 | grad norm: 8230.286 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87059
+ time (ms)
87060
+ iteration 1341/ 292968 | consumed samples: 2746368 | consumed tokens: 266551296 | elapsed time per iteration (ms): 103750.2 | learning rate: 7.324E-05 | global batch size: 2048 | lm loss: 4.306873E+00 | loss scale: 16384.0 | grad norm: 12167.833 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87061
+ time (ms)
87062
+ iteration 1342/ 292968 | consumed samples: 2748416 | consumed tokens: 266829824 | elapsed time per iteration (ms): 104922.5 | learning rate: 7.329E-05 | global batch size: 2048 | lm loss: 4.294527E+00 | loss scale: 16384.0 | grad norm: 11905.773 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87063
+ time (ms)
87064
+ iteration 1343/ 292968 | consumed samples: 2750464 | consumed tokens: 267108352 | elapsed time per iteration (ms): 103900.0 | learning rate: 7.335E-05 | global batch size: 2048 | lm loss: 4.295758E+00 | loss scale: 16384.0 | grad norm: 12966.247 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87065
+ time (ms)
87066
+ iteration 1344/ 292968 | consumed samples: 2752512 | consumed tokens: 267386880 | elapsed time per iteration (ms): 112773.0 | learning rate: 7.340E-05 | global batch size: 2048 | lm loss: 4.293741E+00 | loss scale: 16384.0 | grad norm: 17679.849 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87067
+ time (ms)
87068
+ iteration 1345/ 292968 | consumed samples: 2754560 | consumed tokens: 267665408 | elapsed time per iteration (ms): 107333.9 | learning rate: 7.345E-05 | global batch size: 2048 | lm loss: 4.285107E+00 | loss scale: 16384.0 | grad norm: 12319.450 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87069
+ time (ms)
87070
+ iteration 1346/ 292968 | consumed samples: 2756608 | consumed tokens: 267943936 | elapsed time per iteration (ms): 107084.2 | learning rate: 7.351E-05 | global batch size: 2048 | lm loss: 4.317650E+00 | loss scale: 16384.0 | grad norm: 10941.971 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87071
+ time (ms)
87072
+ iteration 1347/ 292968 | consumed samples: 2758656 | consumed tokens: 268222464 | elapsed time per iteration (ms): 104355.1 | learning rate: 7.356E-05 | global batch size: 2048 | lm loss: 4.266949E+00 | loss scale: 16384.0 | grad norm: 8940.800 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87073
+ time (ms)
87074
+ iteration 1348/ 292968 | consumed samples: 2760704 | consumed tokens: 268500992 | elapsed time per iteration (ms): 102429.5 | learning rate: 7.362E-05 | global batch size: 2048 | lm loss: 4.283114E+00 | loss scale: 16384.0 | grad norm: 7895.135 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87075
+ time (ms)
87076
+ iteration 1349/ 292968 | consumed samples: 2762752 | consumed tokens: 268779520 | elapsed time per iteration (ms): 105154.4 | learning rate: 7.367E-05 | global batch size: 2048 | lm loss: 4.285004E+00 | loss scale: 16384.0 | grad norm: 9430.716 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87077
+ time (ms)
87078
+ iteration 1350/ 292968 | consumed samples: 2764800 | consumed tokens: 269058048 | elapsed time per iteration (ms): 103674.9 | learning rate: 7.373E-05 | global batch size: 2048 | lm loss: 4.279161E+00 | loss scale: 16384.0 | grad norm: 10926.594 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87079
+ time (ms)
87080
+ ------------------------------------------------------------------------------------------------
87081
+ validation loss at iteration 1350 | lm loss value: 4.259500E+00 | lm loss PPL: 7.077459E+01 |
87082
+ ------------------------------------------------------------------------------------------------
87083
+ iteration 1351/ 292968 | consumed samples: 2766848 | consumed tokens: 269336576 | elapsed time per iteration (ms): 274611.4 | learning rate: 7.378E-05 | global batch size: 2048 | lm loss: 4.258837E+00 | loss scale: 16384.0 | grad norm: 10373.234 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87084
+ time (ms)
87085
+ iteration 1352/ 292968 | consumed samples: 2768896 | consumed tokens: 269615104 | elapsed time per iteration (ms): 106646.8 | learning rate: 7.384E-05 | global batch size: 2048 | lm loss: 4.268482E+00 | loss scale: 16384.0 | grad norm: 9422.137 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87086
+ time (ms)
87087
+ iteration 1353/ 292968 | consumed samples: 2770944 | consumed tokens: 269893632 | elapsed time per iteration (ms): 109903.2 | learning rate: 7.389E-05 | global batch size: 2048 | lm loss: 4.249788E+00 | loss scale: 16384.0 | grad norm: 9869.253 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87088
+ time (ms)
87089
+ iteration 1354/ 292968 | consumed samples: 2772992 | consumed tokens: 270172160 | elapsed time per iteration (ms): 104478.9 | learning rate: 7.395E-05 | global batch size: 2048 | lm loss: 4.269929E+00 | loss scale: 16384.0 | grad norm: 14670.245 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87090
+ time (ms)
87091
+ iteration 1355/ 292968 | consumed samples: 2775040 | consumed tokens: 270450688 | elapsed time per iteration (ms): 104033.5 | learning rate: 7.400E-05 | global batch size: 2048 | lm loss: 4.291121E+00 | loss scale: 16384.0 | grad norm: 17109.005 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87092
+ time (ms)
87093
+ iteration 1356/ 292968 | consumed samples: 2777088 | consumed tokens: 270729216 | elapsed time per iteration (ms): 103055.2 | learning rate: 7.406E-05 | global batch size: 2048 | lm loss: 4.270620E+00 | loss scale: 16384.0 | grad norm: 11280.739 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87094
+ time (ms)
87095
+ iteration 1357/ 292968 | consumed samples: 2779136 | consumed tokens: 271007744 | elapsed time per iteration (ms): 102621.3 | learning rate: 7.411E-05 | global batch size: 2048 | lm loss: 4.277614E+00 | loss scale: 16384.0 | grad norm: 9553.789 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87096
+ time (ms)
87097
+ iteration 1358/ 292968 | consumed samples: 2781184 | consumed tokens: 271286272 | elapsed time per iteration (ms): 103434.3 | learning rate: 7.416E-05 | global batch size: 2048 | lm loss: 4.257460E+00 | loss scale: 16384.0 | grad norm: 12285.977 | num zeros: 0.0 | curriculum seqlen: 136 | number of skipped iterations: 0 | number of nan iterations: 0 |
87098
+ time (ms)