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log_ts_e5.txt

@@ -133,3 +133,14 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 02:26:06 step 87800 loss=3.2429 tok=1438.5M dt=1465
 02:26:21 step 87900 loss=3.2542 tok=1440.2M dt=1480
 02:26:35 step 88000 loss=3.1796 tok=1441.8M dt=1494
+02:26:36 pushed log_ts_e5.txt
+02:26:51 step 88100 loss=3.1017 tok=1443.4M dt=1510
+02:27:06 step 88200 loss=3.2372 tok=1445.1M dt=1525
+02:27:21 step 88300 loss=3.0998 tok=1446.7M dt=1540
+02:27:36 step 88400 loss=3.1421 tok=1448.3M dt=1555
+02:27:50 step 88500 loss=3.1897 tok=1450.0M dt=1569
+02:28:05 step 88600 loss=3.1200 tok=1451.6M dt=1584
+02:28:19 step 88700 loss=3.3526 tok=1453.3M dt=1598
+02:28:34 step 88800 loss=3.2494 tok=1454.9M dt=1613
+02:28:49 step 88900 loss=3.1817 tok=1456.5M dt=1628
+02:29:03 step 89000 loss=3.2762 tok=1458.2M dt=1642