Shuffle on first epoch of train

spacy/cli/train.py

@@ -186,18 +186,12 @@ def train(
 
 
 def create_train_batches(iterator, batcher, max_epochs: int):
-    epoch = 1
-    examples = []
-    # Stream the first epoch, so we start training faster and support
-    # infinite streams.
-    for batch in batcher(iterator):
-        yield epoch, batch
-        if max_epochs != 1:
-            examples.extend(batch)
+    epoch = 0
+    examples = list(iterator)
     if not examples:
         # Raise error if no data
         raise ValueError(Errors.E986)
-    while epoch != max_epochs:
+    while max_epochs < 1 or epoch != max_epochs:
         random.shuffle(examples)
         for batch in batcher(examples):
             yield epoch, batch