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log_ts_e1.txt

@@ -337,3 +337,14 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 03:05:13 step 102800 loss=3.2005 tok=1684.3M dt=3811
 03:05:28 step 102900 loss=3.1839 tok=1685.9M dt=3825
 03:05:43 step 103000 loss=3.0790 tok=1687.6M dt=3840
+03:05:43 pushed log_ts_e1.txt
+03:05:58 step 103100 loss=3.1832 tok=1689.2M dt=3856
+03:06:13 step 103200 loss=3.1405 tok=1690.8M dt=3870
+03:06:28 step 103300 loss=3.1937 tok=1692.5M dt=3885
+03:06:43 step 103400 loss=3.0869 tok=1694.1M dt=3901
+03:06:58 step 103500 loss=3.2939 tok=1695.7M dt=3916
+03:07:13 step 103600 loss=3.1786 tok=1697.4M dt=3931
+03:07:28 step 103700 loss=3.1387 tok=1699.0M dt=3946
+03:07:43 step 103800 loss=3.2582 tok=1700.7M dt=3961
+03:07:59 step 103900 loss=3.2217 tok=1702.3M dt=3977
+03:08:14 step 104000 loss=3.0277 tok=1703.9M dt=3992