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Upload log_ts_e1.txt with huggingface_hub

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  1. log_ts_e1.txt +40 -23
log_ts_e1.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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- 02:01:43 epoch 0 start
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- 02:02:08 step 78100 loss=3.4585 tok=1279.6M dt=26
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- 02:02:23 step 78200 loss=3.1263 tok=1281.2M dt=40
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- 02:02:37 step 78300 loss=3.2512 tok=1282.9M dt=55
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- 02:02:52 step 78400 loss=3.2114 tok=1284.5M dt=69
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- 02:03:07 step 78500 loss=3.4774 tok=1286.1M dt=85
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- 02:03:23 step 78600 loss=3.4400 tok=1287.8M dt=100
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- 02:03:37 step 78700 loss=3.1952 tok=1289.4M dt=115
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- 02:03:52 step 78800 loss=3.2841 tok=1291.1M dt=130
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- 02:04:07 step 78900 loss=3.1681 tok=1292.7M dt=145
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- 02:04:22 step 79000 loss=3.2480 tok=1294.3M dt=159
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- 02:04:23 pushed log_ts_e1.txt
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- 02:04:37 step 79100 loss=3.3462 tok=1296.0M dt=175
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- 02:04:52 step 79200 loss=3.2001 tok=1297.6M dt=189
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- 02:05:06 step 79300 loss=3.2078 tok=1299.3M dt=204
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- 02:05:21 step 79400 loss=3.1641 tok=1300.9M dt=218
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- 02:05:35 step 79500 loss=3.2677 tok=1302.5M dt=233
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- 02:05:50 step 79600 loss=3.3151 tok=1304.2M dt=247
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- 02:06:05 step 79700 loss=3.3720 tok=1305.8M dt=262
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- 02:06:19 step 79800 loss=3.2738 tok=1307.4M dt=276
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- 02:06:33 step 79900 loss=3.2880 tok=1309.1M dt=291
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- 02:06:49 step 80000 loss=3.3326 tok=1310.7M dt=307
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  /tmp/ts_e1_m.pt : 1%| | 648kB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 1%| | 648kB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 20%|β–ˆβ–‰ | 14.8MB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41.7MB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 65.7MB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
 
 
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  /tmp/ts_e1_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.)
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  total += float(l) * w
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  /tmp/ts_e1_m.pt : 1%| | 648kB / 75.8MB 
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  /tmp/ts_e1_m.pt : 1%| | 648kB / 75.8MB 
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  /tmp/ts_e1_m.pt : 20%|β–ˆβ–‰ | 14.8MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41.7MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 65.7MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 75.3MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB 
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  /tmp/ts_e1_m.pt : 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 75.8MB / 75.8MB
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+ 02:09:21 pushed ts_e1.pt
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+ 02:09:24 pulled global r=10 2.764 -> 2.838