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Upload log_ts_e5.txt with huggingface_hub

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  1. log_ts_e5.txt +41 -23
log_ts_e5.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=3.4492 tok=1279.6M dt=24
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- 02:02:20 step 78200 loss=3.1403 tok=1281.2M dt=39
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- 02:02:34 step 78300 loss=3.2519 tok=1282.9M dt=53
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- 02:02:49 step 78400 loss=3.2181 tok=1284.5M dt=68
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- 02:03:03 step 78500 loss=3.4631 tok=1286.1M dt=82
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- 02:03:18 step 78600 loss=3.4332 tok=1287.8M dt=97
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- 02:03:33 step 78700 loss=3.1962 tok=1289.4M dt=112
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- 02:03:48 step 78800 loss=3.2953 tok=1291.1M dt=127
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- 02:04:02 step 78900 loss=3.1548 tok=1292.7M dt=141
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- 02:04:17 step 79000 loss=3.2490 tok=1294.3M dt=156
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- 02:04:18 pushed log_ts_e5.txt
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- 02:04:33 step 79100 loss=3.3447 tok=1296.0M dt=172
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- 02:04:47 step 79200 loss=3.2075 tok=1297.6M dt=186
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- 02:05:02 step 79300 loss=3.1878 tok=1299.3M dt=201
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- 02:05:16 step 79400 loss=3.1595 tok=1300.9M dt=215
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- 02:05:31 step 79500 loss=3.2666 tok=1302.5M dt=230
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- 02:05:45 step 79600 loss=3.3175 tok=1304.2M dt=244
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- 02:06:00 step 79700 loss=3.3653 tok=1305.8M dt=259
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- 02:06:14 step 79800 loss=3.2628 tok=1307.4M dt=273
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- 02:06:28 step 79900 loss=3.2896 tok=1309.1M dt=287
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- 02:06:43 step 80000 loss=3.3204 tok=1310.7M dt=302
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  /tmp/ts_e5_m.pt : 13%|β–ˆβ–Ž | 9.61MB / 75.8MB 
 
 
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  /tmp/ts_e5_m.pt : 13%|β–ˆβ–Ž | 9.61MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 42.6MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 49.7MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 60.5MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 74.0MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e5_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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  /tmp/ts_e5_m.pt : 13%|β–ˆβ–Ž | 9.61MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 13%|β–ˆβ–Ž | 9.61MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 42.6MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 49.7MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 60.5MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 74.0MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e5_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB
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+ 02:09:11 pushed ts_e5.pt
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+ 02:09:12 pulled global r=10 2.851 -> 2.936