diff --git a/website/docs/api/data-formats.md b/website/docs/api/data-formats.md
index 56ce663ec..727c0f35c 100644
--- a/website/docs/api/data-formats.md
+++ b/website/docs/api/data-formats.md
@@ -127,8 +127,6 @@ $ python -m spacy train config.cfg --paths.train ./corpus/train.spacy
 This section defines settings and controls for the training and evaluation
 process that are used when you run [`spacy train`](/api/cli#train).
 
-<!-- TODO: complete -->
-
 | Name                  | Description                                                                                                                                                                                                  |
 | --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | `accumulate_gradient` | Whether to divide the batch up into substeps. Defaults to `1`. ~~int~~                                                                                                                                       |
diff --git a/website/docs/usage/training.md b/website/docs/usage/training.md
index 116561cd2..5f188a75a 100644
--- a/website/docs/usage/training.md
+++ b/website/docs/usage/training.md
@@ -104,11 +104,6 @@ workflows, from data preprocessing to training and packaging your model.
 
 ## Training config {#config}
 
-<!-- > #### Migration from spaCy v2.x
->
-> TODO: once we have an answer for how to update the training command
-> (`spacy migrate`?), add details here -->
-
 Training config files include all **settings and hyperparameters** for training
 your model. Instead of providing lots of arguments on the command line, you only
 need to pass your `config.cfg` file to [`spacy train`](/api/cli#train). Under