diff --git a/spacy/cli/train.py b/spacy/cli/train.py
index d49b94e44..4310a5702 100644
--- a/spacy/cli/train.py
+++ b/spacy/cli/train.py
@@ -144,24 +144,6 @@ def train(
     if learn_tokens:
         nlp.add_pipe(nlp.create_pipe("merge_subtokens"))
 
-    # Take dropout and batch size as generators of values -- dropout
-    # starts high and decays sharply, to force the optimizer to explore.
-    # Batch size starts at 1 and grows, so that we make updates quickly
-    # at the beginning of training.
-    dropout_rates = util.decaying(
-        util.env_opt("dropout_from", 0.1),
-        util.env_opt("dropout_to", 0.1),
-        util.env_opt("dropout_decay", 0.0),
-    )
-    batch_sizes = util.compounding(
-        util.env_opt("batch_from", 750),
-        util.env_opt("batch_to", 750),
-        util.env_opt("batch_compound", 1.001),
-    )
-    lang_class = util.get_lang_class(lang)
-    nlp = lang_class()
-    meta["pipeline"] = pipeline
-    nlp.meta.update(meta)
     if vectors:
         msg.text(Messages.M058.format(model=vectors))
         _load_vectors(nlp, vectors)