Update train.py

spacy/cli/train.py

@@ -210,7 +210,8 @@ def train(
         nlp.resume_training()
     else:
         msg.info(f"Initializing the nlp pipeline: {nlp.pipe_names}")
-        nlp.begin_training(lambda: corpus.train_dataset(nlp))
+        train_examples = list(corpus.train_dataset(nlp, shuffle=False))
+        nlp.begin_training(lambda: train_examples)
 
     # Update tag map with provided mapping
     nlp.vocab.morphology.tag_map.update(tag_map)
@@ -280,11 +281,14 @@ def train(
                 eg.reference = None
                 eg.predicted = None
     except Exception as e:
-        msg.warn(
-            f"Aborting and saving the final best model. "
-            f"Encountered exception: {str(e)}",
-            exits=1,
-        )
+        if output_path is not None:
+            msg.warn(
+                f"Aborting and saving the final best model. "
+                f"Encountered exception: {str(e)}",
+                exits=1,
+            )
+        else:
+            raise e
     finally:
         if output_path is not None:
             final_model_path = output_path / "model-final"
@@ -300,7 +304,6 @@ def create_train_batches(nlp, corpus, cfg):
     epochs_todo = cfg.get("max_epochs", 0)
     while True:
         train_examples = list(corpus.train_dataset(nlp))
-
         if len(train_examples) == 0:
             raise ValueError(Errors.E988)
         random.shuffle(train_examples)