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log_ts_e2.txt

@@ -367,27 +367,45 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 
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-03:07:57 pushed ts_e2.pt
-03:07:59 pushed log_ts_e2.txt
-03:08:13 step 105100 loss=3.1396 tok=1722.0M dt=3992
-03:08:28 step 105200 loss=3.1643 tok=1723.6M dt=4007
-03:08:42 step 105300 loss=3.1578 tok=1725.2M dt=4021
-03:08:57 step 105400 loss=3.0902 tok=1726.9M dt=4036
-03:09:11 step 105500 loss=3.1275 tok=1728.5M dt=4050
-03:09:26 step 105600 loss=3.2680 tok=1730.2M dt=4065
-03:09:40 step 105700 loss=3.0909 tok=1731.8M dt=4079
-03:09:54 step 105800 loss=3.1945 tok=1733.4M dt=4093
-03:10:09 step 105900 loss=3.0762 tok=1735.1M dt=4108
-03:10:23 step 106000 loss=3.1417 tok=1736.7M dt=4122
-03:10:26 pushed log_ts_e2.txt
-03:10:40 step 106100 loss=3.1186 tok=1738.3M dt=4139
-03:10:55 step 106200 loss=3.2801 tok=1740.0M dt=4153
-03:11:09 step 106300 loss=3.2275 tok=1741.6M dt=4168
-03:11:23 step 106400 loss=3.1377 tok=1743.3M dt=4182
-03:11:38 step 106500 loss=3.1853 tok=1744.9M dt=4196
-03:11:55 step 106600 loss=3.1873 tok=1746.5M dt=4214
-03:11:56 epoch 5 start
-03:12:18 step 106700 loss=3.0932 tok=1748.2M dt=4237
-03:12:32 step 106800 loss=3.2010 tok=1749.8M dt=4251
-03:12:47 step 106900 loss=3.2832 tok=1751.4M dt=4266
-03:13:01 step 107000 loss=3.2558 tok=1753.1M dt=4280
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+03:15:29 pushed ts_e2.pt