console logging example

website/docs/api/top-level.md

@@ -377,6 +377,37 @@ using one of the built-in loggers listed here, you can also
 
 Writes the results of a training step to the console in a tabular format.
 
+<Accordion title="Example console output">
+
+```
+$ python -m spacy train config.cfg
+ℹ Using CPU
+ℹ Loading config and nlp from: config.cfg
+ℹ Pipeline: ['tok2vec', 'tagger']
+ℹ Start training
+ℹ Training. Initial learn rate: 0.0
+E     #        LOSS TOK2VEC   LOSS TAGGER   TAG_ACC   SCORE
+---   ------   ------------   -----------   -------   ------
+  1        0           0.00         86.20      0.22     0.00
+  1      200           3.08      18968.78     34.00     0.34
+  1      400          31.81      22539.06     33.64     0.34
+  1      600          92.13      22794.91     43.80     0.44
+  1      800         183.62      21541.39     56.05     0.56
+  1     1000         352.49      25461.82     65.15     0.65
+  1     1200         422.87      23708.82     71.84     0.72
+  1     1400         601.92      24994.79     76.57     0.77
+  1     1600         662.57      22268.02     80.20     0.80
+  1     1800        1101.50      28413.77     82.56     0.83
+  1     2000        1253.43      28736.36     85.00     0.85
+  1     2200        1411.02      28237.53     87.42     0.87
+  1     2400        1605.35      28439.95     88.70     0.89
+```
+
+Note that the cumulative loss keeps increasing within one epoch, but should
+start decreasing across epochs.
+
+ </Accordion>
+
 #### spacy.WandbLogger.v1 {#WandbLogger tag="registered function"}
 
 > #### Installation