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Upload log_ts_e2.txt with huggingface_hub

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  1. log_ts_e2.txt +43 -23
log_ts_e2.txt CHANGED
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  /tmp/tiny_train.py:234: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.
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  Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:836.)
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  total += float(l) * w
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- tch ready
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- 02:01:41 epoch 0 start
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- 02:02:05 step 78100 loss=3.4388 tok=1279.6M dt=24
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- 02:02:19 step 78200 loss=3.1395 tok=1281.2M dt=38
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- 02:02:34 step 78300 loss=3.2418 tok=1282.9M dt=52
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- 02:02:48 step 78400 loss=3.1992 tok=1284.5M dt=66
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- 02:03:02 step 78500 loss=3.4728 tok=1286.1M dt=81
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- 02:03:17 step 78600 loss=3.4394 tok=1287.8M dt=96
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- 02:03:31 step 78700 loss=3.2085 tok=1289.4M dt=110
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- 02:03:46 step 78800 loss=3.2910 tok=1291.1M dt=124
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- 02:04:00 step 78900 loss=3.1681 tok=1292.7M dt=139
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- 02:04:14 step 79000 loss=3.2512 tok=1294.3M dt=153
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- 02:04:15 pushed log_ts_e2.txt
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- 02:04:30 step 79100 loss=3.3347 tok=1296.0M dt=169
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- 02:04:44 step 79200 loss=3.2014 tok=1297.6M dt=183
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- 02:04:58 step 79300 loss=3.1897 tok=1299.3M dt=197
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- 02:05:12 step 79400 loss=3.1600 tok=1300.9M dt=211
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- 02:05:27 step 79500 loss=3.2748 tok=1302.5M dt=225
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- 02:05:41 step 79600 loss=3.3005 tok=1304.2M dt=240
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- 02:05:55 step 79700 loss=3.3673 tok=1305.8M dt=254
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- 02:06:09 step 79800 loss=3.2836 tok=1307.4M dt=268
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- 02:06:23 step 79900 loss=3.2903 tok=1309.1M dt=282
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- 02:06:38 step 80000 loss=3.3288 tok=1310.7M dt=296
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  /tmp/ts_e2_m.pt : 1%| | 646kB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 1%| | 646kB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 15%|β–ˆβ–Œ | 11.6MB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 36.2MB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 54.7MB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 72.6MB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
 
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  /tmp/ts_e2_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e2_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB
 
 
 
1
  /tmp/tiny_train.py:234: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.
2
  Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:836.)
3
  total += float(l) * w
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+
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  /tmp/ts_e2_m.pt : 1%| | 646kB / 75.8MB 
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  /tmp/ts_e2_m.pt : 1%| | 646kB / 75.8MB 
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  /tmp/ts_e2_m.pt : 15%|β–ˆβ–Œ | 11.6MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 36.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 54.7MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 72.6MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.2MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e2_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB
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+ 02:09:04 pushed ts_e2.pt
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+ 02:09:06 pulled global r=10 2.766 -> 2.858