Upload log_ts_f_rep.txt with huggingface_hub

log_ts_f_rep.txt

@@ -1,26 +1,48 @@
 /tmp/tiny_train.py:237: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.
 Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:836.)
   total += float(l) * w
- batch ready
-10:25:25 epoch 0 start
-10:25:43 step 78100 loss=2.5604 tok=1279.6M dt=18
-10:25:51 step 78200 loss=2.4973 tok=1281.2M dt=26
-10:25:58 step 78300 loss=2.5199 tok=1282.9M dt=33
-10:26:06 step 78400 loss=2.4135 tok=1284.5M dt=41
-10:26:14 step 78500 loss=2.4757 tok=1286.1M dt=48
-10:26:21 step 78600 loss=2.3928 tok=1287.8M dt=56
-10:26:29 step 78700 loss=2.4895 tok=1289.4M dt=63
-10:26:37 step 78800 loss=2.3867 tok=1291.1M dt=71
-10:26:45 step 78900 loss=2.3418 tok=1292.7M dt=79
-10:26:53 step 79000 loss=2.4164 tok=1294.3M dt=87
-10:26:53 pushed log_ts_f_rep.txt
-10:27:01 step 79100 loss=2.3086 tok=1296.0M dt=96
-10:27:09 step 79200 loss=2.4845 tok=1297.6M dt=104
-10:27:17 step 79300 loss=2.3414 tok=1299.3M dt=112
-10:27:26 step 79400 loss=2.3583 tok=1300.9M dt=120
-10:27:34 step 79500 loss=2.4582 tok=1302.5M dt=128
-10:27:42 step 79600 loss=2.4257 tok=1304.2M dt=136
-10:27:50 step 79700 loss=2.3783 tok=1305.8M dt=144
-10:27:58 step 79800 loss=2.3603 tok=1307.4M dt=152
-10:28:06 step 79900 loss=2.3896 tok=1309.1M dt=160
-10:28:13 step 80000 loss=2.4365 tok=1310.7M dt=168
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+10:29:37 pushed ts_f_rep.pt
+10:29:40 pulled global r=10 2.792 -> 2.892