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log_ts_e1.txt

@@ -1010,3 +1010,14 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 03:21:15 step 108800 loss=3.1165 tok=1782.6M dt=4772
 03:21:29 step 108900 loss=3.1883 tok=1784.2M dt=4787
 03:21:43 step 109000 loss=3.1482 tok=1785.9M dt=4801
+03:21:44 pushed log_ts_e1.txt
+03:21:58 step 109100 loss=3.0010 tok=1787.5M dt=4815
+03:22:12 step 109200 loss=3.0625 tok=1789.1M dt=4829
+03:22:26 step 109300 loss=3.1570 tok=1790.8M dt=4843
+03:22:40 step 109400 loss=3.0981 tok=1792.4M dt=4857
+03:22:54 step 109500 loss=3.1122 tok=1794.0M dt=4871
+03:23:08 step 109600 loss=3.1794 tok=1795.7M dt=4885
+03:23:22 step 109700 loss=3.1925 tok=1797.3M dt=4900
+03:23:37 step 109800 loss=3.2524 tok=1799.0M dt=4914
+03:23:51 step 109900 loss=3.2850 tok=1800.6M dt=4928
+03:24:05 step 110000 loss=3.3250 tok=1802.2M dt=4943