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  1. log_ts_e1.txt +43 -23
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@@ -158,26 +158,46 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
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- 02:32:35 pushed ts_e1.pt
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- 02:32:36 pushed log_ts_e1.txt
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- 02:32:51 step 90100 loss=3.0981 tok=1476.2M dt=1868
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- 02:33:05 step 90200 loss=3.1856 tok=1477.8M dt=1883
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- 02:33:20 step 90300 loss=3.0982 tok=1479.5M dt=1898
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- 02:33:36 step 90400 loss=3.3281 tok=1481.1M dt=1913
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- 02:33:51 step 90500 loss=3.1628 tok=1482.8M dt=1928
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- 02:34:06 step 90600 loss=3.2182 tok=1484.4M dt=1943
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- 02:34:20 step 90700 loss=3.0361 tok=1486.0M dt=1958
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- 02:34:35 step 90800 loss=3.1361 tok=1487.7M dt=1972
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- 02:34:50 step 90900 loss=3.2989 tok=1489.3M dt=1987
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- 02:35:04 step 91000 loss=3.1521 tok=1490.9M dt=2002
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- 02:35:05 pushed log_ts_e1.txt
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- 02:35:20 step 91100 loss=3.2861 tok=1492.6M dt=2017
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- 02:35:34 step 91200 loss=3.0503 tok=1494.2M dt=2032
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- 02:35:49 step 91300 loss=3.0970 tok=1495.9M dt=2046
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- 02:36:03 step 91400 loss=3.1793 tok=1497.5M dt=2061
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- 02:36:18 step 91500 loss=3.1551 tok=1499.1M dt=2075
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- 02:36:33 step 91600 loss=3.0851 tok=1500.8M dt=2090
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- 02:36:48 step 91700 loss=3.3557 tok=1502.4M dt=2106
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- 02:37:03 step 91800 loss=3.2026 tok=1504.1M dt=2121
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- 02:37:19 step 91900 loss=3.1745 tok=1505.7M dt=2136
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- 02:37:34 step 92000 loss=2.9729 tok=1507.3M dt=2151
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  /tmp/ts_e1_m.pt : 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 47.4MB / 75.8MB 
 
 
 
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  /tmp/ts_e1_m.pt : 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 66.0MB / 75.8MB 
 
 
 
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+ 02:40:07 pushed ts_e1.pt