Upload log_ts_e5.txt with huggingface_hub

log_ts_e5.txt

@@ -388,26 +388,39 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 
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-03:16:28 pushed ts_e5.pt
-03:16:29 pushed log_ts_e5.txt
-03:16:43 step 108100 loss=3.1601 tok=1771.1M dt=4502
-03:16:58 step 108200 loss=3.3304 tok=1772.7M dt=4517
-03:17:12 step 108300 loss=2.9573 tok=1774.4M dt=4531
-03:17:26 step 108400 loss=3.1383 tok=1776.0M dt=4545
-03:17:41 step 108500 loss=3.2125 tok=1777.7M dt=4560
-03:17:55 step 108600 loss=3.1291 tok=1779.3M dt=4574
-03:18:10 step 108700 loss=3.1998 tok=1780.9M dt=4589
-03:18:24 step 108800 loss=3.1083 tok=1782.6M dt=4603
-03:18:39 step 108900 loss=3.1983 tok=1784.2M dt=4618
-03:18:53 step 109000 loss=3.1459 tok=1785.9M dt=4632
-03:18:54 pushed log_ts_e5.txt
-03:19:09 step 109100 loss=3.0057 tok=1787.5M dt=4648
-03:19:23 step 109200 loss=3.0531 tok=1789.1M dt=4662
-03:19:38 step 109300 loss=3.1540 tok=1790.8M dt=4677
-03:19:52 step 109400 loss=3.0915 tok=1792.4M dt=4692
-03:20:07 step 109500 loss=3.1303 tok=1794.0M dt=4706
-03:20:22 step 109600 loss=3.1642 tok=1795.7M dt=4721
-03:20:37 step 109700 loss=3.1946 tok=1797.3M dt=4736
-03:20:52 step 109800 loss=3.2456 tok=1799.0M dt=4751
-03:21:06 step 109900 loss=3.2584 tok=1800.6M dt=4765
-03:21:21 step 110000 loss=3.3278 tok=1802.2M dt=4780
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+03:23:50 pushed ts_e5.pt