diff --git a/examples/training/train_textcat.py b/examples/training/train_textcat.py
index c678632cd..6745ddba6 100644
--- a/examples/training/train_textcat.py
+++ b/examples/training/train_textcat.py
@@ -73,10 +73,12 @@ def main(model=None, output_dir=None, n_iter=20, n_texts=2000, init_tok2vec=None
                 textcat.model.tok2vec.from_bytes(file_.read())
         print("Training the model...")
         print("{:^5}\t{:^5}\t{:^5}\t{:^5}".format("LOSS", "P", "R", "F"))
+        batch_sizes = compounding(4.0, 32.0, 1.001)
         for i in range(n_iter):
             losses = {}
             # batch up the examples using spaCy's minibatch
-            batches = minibatch(train_data, size=compounding(4.0, 32.0, 1.001))
+            random.shuffle(train_data)
+            batches = minibatch(train_data, size=batch_sizes)
             for batch in batches:
                 texts, annotations = zip(*batch)
                 nlp.update(texts, annotations, sgd=optimizer, drop=0.2, losses=losses)