Upload log_ts_f_both.txt with huggingface_hub

log_ts_f_both.txt

@@ -1,26 +1,37 @@
 /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
-d batch ready
-10:25:25 epoch 0 start
-10:25:42 step 78100 loss=2.4724 tok=1279.6M dt=18
-10:25:50 step 78200 loss=2.5146 tok=1281.2M dt=25
-10:25:57 step 78300 loss=2.4356 tok=1282.9M dt=32
-10:26:04 step 78400 loss=2.4045 tok=1284.5M dt=39
-10:26:11 step 78500 loss=2.2719 tok=1286.1M dt=46
-10:26:19 step 78600 loss=2.2379 tok=1287.8M dt=54
-10:26:26 step 78700 loss=2.3549 tok=1289.4M dt=61
-10:26:33 step 78800 loss=2.3268 tok=1291.1M dt=68
-10:26:40 step 78900 loss=2.4014 tok=1292.7M dt=75
-10:26:47 step 79000 loss=2.3770 tok=1294.3M dt=82
-10:26:49 pushed log_ts_f_both.txt
-10:26:57 step 79100 loss=2.2771 tok=1296.0M dt=92
-10:27:04 step 79200 loss=2.3697 tok=1297.6M dt=99
-10:27:11 step 79300 loss=2.3155 tok=1299.3M dt=106
-10:27:18 step 79400 loss=2.3917 tok=1300.9M dt=113
-10:27:26 step 79500 loss=2.3605 tok=1302.5M dt=121
-10:27:33 step 79600 loss=2.2733 tok=1304.2M dt=129
-10:27:41 step 79700 loss=2.2557 tok=1305.8M dt=136
-10:27:48 step 79800 loss=2.3351 tok=1307.4M dt=143
-10:27:55 step 79900 loss=2.2232 tok=1309.1M dt=150
-10:28:02 step 80000 loss=2.2553 tok=1310.7M dt=157
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  /tmp/ts_f_both_m.pt         : 100%|██████████| 75.8MB / 75.8MB            
+10:29:18 pushed ts_f_both.pt
+10:29:23 pulled global r=10 2.790 -> 2.892