text
stringlengths 54
260
|
---|
06-07 09:59 - modeling.trainer - INFO - train - iter 179400: loss 3.0466, time 5.15s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179450: loss 3.0470, time 5.18s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179500: loss 3.0484, time 5.20s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179550: loss 3.0428, time 5.16s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179600: loss 3.0487, time 5.17s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179650: loss 3.0640, time 5.16s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179700: loss 3.0606, time 5.17s
|
06-07 09:59 - modeling.trainer - INFO - train - iter 179750: loss 3.0515, time 5.19s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 179800: loss 3.0600, time 5.18s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 179850: loss 3.0642, time 5.14s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 179900: loss 3.0625, time 5.13s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 179950: loss 3.0595, time 5.16s
|
06-07 10:00 - modeling.trainer - INFO - val - iter 180000: lm_loss 1.4985, value_loss 0.7549, time_loss 0.6973, loss 2.9508, time 4.20s
|
06-07 10:00 - modeling.trainer - INFO - new best val loss 2.9508
|
06-07 10:00 - modeling.trainer - INFO - saved checkpoint to models/ablations/half/best.pt
|
06-07 10:00 - modeling.trainer - INFO - saved checkpoint to models/ablations/half/last.pt
|
06-07 10:00 - modeling.trainer - INFO - train - iter 180000: loss 3.0502, time 16.90s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 180050: loss 3.0453, time 5.16s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 180100: loss 3.0404, time 5.13s
|
06-07 10:00 - modeling.trainer - INFO - train - iter 180150: loss 3.0473, time 5.16s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180200: loss 3.0520, time 10.14s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180250: loss 3.0494, time 5.37s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180300: loss 3.0529, time 5.35s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180350: loss 3.0556, time 5.36s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180400: loss 3.0491, time 5.34s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180450: loss 3.0429, time 5.31s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180500: loss 3.0585, time 5.34s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180550: loss 3.0591, time 5.34s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180600: loss 3.0528, time 5.37s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180650: loss 3.0440, time 5.35s
|
06-07 10:01 - modeling.trainer - INFO - train - iter 180700: loss 3.0372, time 6.29s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 180750: loss 3.0401, time 5.37s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 180800: loss 3.0501, time 5.33s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 180850: loss 3.0595, time 5.41s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 180900: loss 3.0551, time 5.36s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 180950: loss 3.0554, time 5.39s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 181000: loss 3.0561, time 5.36s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 181050: loss 3.0503, time 5.36s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 181100: loss 3.0454, time 5.38s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 181150: loss 3.0444, time 5.36s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 181200: loss 3.0469, time 5.37s
|
06-07 10:02 - modeling.trainer - INFO - train - iter 181250: loss 3.0547, time 5.32s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181300: loss 3.0541, time 5.37s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181350: loss 3.0462, time 5.39s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181400: loss 3.0440, time 5.35s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181450: loss 3.0474, time 5.34s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181500: loss 3.0507, time 5.41s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181550: loss 3.0437, time 5.41s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181600: loss 3.0446, time 5.36s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181650: loss 3.0551, time 5.37s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181700: loss 3.0541, time 5.35s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181750: loss 3.0559, time 5.38s
|
06-07 10:03 - modeling.trainer - INFO - train - iter 181800: loss 3.0515, time 5.34s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 181850: loss 3.0418, time 5.36s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 181900: loss 3.0538, time 5.32s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 181950: loss 3.0540, time 5.34s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182000: loss 3.0391, time 5.36s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182050: loss 3.0423, time 5.33s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182100: loss 3.0463, time 5.35s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182150: loss 3.0388, time 5.43s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182200: loss 3.0428, time 5.37s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182250: loss 3.0519, time 5.39s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182300: loss 3.0518, time 5.42s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182350: loss 3.0560, time 5.35s
|
06-07 10:04 - modeling.trainer - INFO - train - iter 182400: loss 3.0571, time 5.36s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182450: loss 3.0537, time 6.02s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182500: loss 3.0501, time 5.37s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182550: loss 3.0600, time 5.35s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182600: loss 3.0613, time 5.30s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182650: loss 3.0508, time 5.31s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182700: loss 3.0545, time 5.36s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182750: loss 3.0555, time 5.37s
|
06-07 10:05 - modeling.trainer - INFO - train - iter 182800: loss 3.0522, time 19.70s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 182850: loss 3.0520, time 5.59s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 182900: loss 3.0538, time 5.50s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 182950: loss 3.0434, time 5.53s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183000: loss 3.0326, time 5.45s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183050: loss 3.0410, time 5.49s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183100: loss 3.0546, time 5.50s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183150: loss 3.0483, time 5.58s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183200: loss 3.0383, time 5.54s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183250: loss 3.0459, time 5.45s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183300: loss 3.0469, time 5.52s
|
06-07 10:06 - modeling.trainer - INFO - train - iter 183350: loss 3.0521, time 5.52s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183400: loss 3.0541, time 5.44s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183450: loss 3.0523, time 5.52s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183500: loss 3.0530, time 5.51s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183550: loss 3.0485, time 5.45s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183600: loss 3.0514, time 5.52s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183650: loss 3.0507, time 5.54s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183700: loss 3.0467, time 5.49s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183750: loss 3.0531, time 5.45s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183800: loss 3.0520, time 5.48s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183850: loss 3.0520, time 5.46s
|
06-07 10:07 - modeling.trainer - INFO - train - iter 183900: loss 3.0540, time 5.45s
|
06-07 10:08 - modeling.trainer - INFO - train - iter 183950: loss 3.0441, time 5.56s
|
06-07 10:08 - modeling.trainer - INFO - train - iter 184000: loss 3.0458, time 5.45s
|
06-07 10:08 - modeling.trainer - INFO - train - iter 184050: loss 3.0506, time 5.46s
|
06-07 10:08 - modeling.trainer - INFO - train - iter 184100: loss 3.0541, time 5.42s
|
06-07 10:08 - modeling.trainer - INFO - train - iter 184150: loss 3.0562, time 5.46s
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.