Upload log_ts_e5.txt with huggingface_hub

log_ts_e5.txt

@@ -348,27 +348,44 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 
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-03:08:53 pushed ts_e5.pt
-03:08:54 pushed log_ts_e5.txt
-03:09:09 step 105100 loss=3.1565 tok=1722.0M dt=4048
-03:09:23 step 105200 loss=3.1560 tok=1723.6M dt=4062
-03:09:38 step 105300 loss=3.1594 tok=1725.2M dt=4077
-03:09:52 step 105400 loss=3.0944 tok=1726.9M dt=4092
-03:10:07 step 105500 loss=3.1108 tok=1728.5M dt=4106
-03:10:22 step 105600 loss=3.2684 tok=1730.2M dt=4121
-03:10:36 step 105700 loss=3.0855 tok=1731.8M dt=4135
-03:10:51 step 105800 loss=3.2019 tok=1733.4M dt=4150
-03:11:05 step 105900 loss=3.0614 tok=1735.1M dt=4164
-03:11:20 step 106000 loss=3.1418 tok=1736.7M dt=4179
-03:11:21 pushed log_ts_e5.txt
-03:11:35 step 106100 loss=3.1394 tok=1738.3M dt=4194
-03:11:50 step 106200 loss=3.2666 tok=1740.0M dt=4209
-03:12:05 step 106300 loss=3.2323 tok=1741.6M dt=4224
-03:12:19 step 106400 loss=3.1378 tok=1743.3M dt=4238
-03:12:34 step 106500 loss=3.1985 tok=1744.9M dt=4253
-03:12:52 step 106600 loss=3.2081 tok=1746.5M dt=4271
-03:12:52 epoch 5 start
-03:13:14 step 106700 loss=3.0869 tok=1748.2M dt=4293
-03:13:29 step 106800 loss=3.1939 tok=1749.8M dt=4308
-03:13:43 step 106900 loss=3.2786 tok=1751.4M dt=4322
-03:13:58 step 107000 loss=3.2618 tok=1753.1M dt=4337
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+03:16:28 pushed ts_e5.pt