Upload log_ts_e5.txt with huggingface_hub

log_ts_e5.txt

@@ -40,27 +40,44 @@ Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/cs
 
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-02:09:11 pushed ts_e5.pt
-02:09:12 pulled global r=10 2.851 -> 2.936
-02:09:13 pushed log_ts_e5.txt
-02:09:27 step 81100 loss=3.4575 tok=1328.7M dt=466
-02:09:42 step 81200 loss=3.4640 tok=1330.4M dt=481
-02:09:56 step 81300 loss=3.1482 tok=1332.0M dt=495
-02:10:11 step 81400 loss=3.3209 tok=1333.7M dt=510
-02:10:26 step 81500 loss=3.5231 tok=1335.3M dt=525
-02:10:41 step 81600 loss=3.3889 tok=1336.9M dt=540
-02:10:55 step 81700 loss=3.3281 tok=1338.6M dt=554
-02:11:10 step 81800 loss=3.3036 tok=1340.2M dt=569
-02:11:24 step 81900 loss=3.2329 tok=1341.8M dt=583
-02:11:39 step 82000 loss=3.1879 tok=1343.5M dt=598
-02:11:39 pushed log_ts_e5.txt
-02:11:54 step 82100 loss=3.2489 tok=1345.1M dt=613
-02:12:09 step 82200 loss=3.2294 tok=1346.8M dt=628
-02:12:23 step 82300 loss=3.2620 tok=1348.4M dt=642
-02:12:38 step 82400 loss=3.2667 tok=1350.0M dt=657
-02:12:53 step 82500 loss=3.3177 tok=1351.7M dt=672
-02:13:07 step 82600 loss=3.1947 tok=1353.3M dt=687
-02:13:22 step 82700 loss=3.2557 tok=1355.0M dt=701
-02:13:37 step 82800 loss=3.2551 tok=1356.6M dt=716
-02:13:51 step 82900 loss=3.2656 tok=1358.2M dt=730
-02:14:06 step 83000 loss=3.1855 tok=1359.9M dt=745
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+02:16:46 pushed ts_e5.pt