diff --git a/ml-agents/tests/yamato/training_int_tests.py b/ml-agents/tests/yamato/training_int_tests.py
index 2bec3c7435..5ef043b0a7 100644
--- a/ml-agents/tests/yamato/training_int_tests.py
+++ b/ml-agents/tests/yamato/training_int_tests.py
@@ -26,11 +26,10 @@ def run_training(python_version: str, csharp_version: str) -> bool:
         f"Running training with python={python_version or latest} and c#={csharp_version or latest}"
     )
     output_dir = "models" if python_version else "results"
-    nn_file_expected = f"./{output_dir}/{run_id}/3DBall.nn"
     onnx_file_expected = f"./{output_dir}/{run_id}/3DBall.onnx"
     frozen_graph_file_expected = f"./{output_dir}/{run_id}/3DBall/frozen_graph_def.pb"
 
-    if os.path.exists(nn_file_expected):
+    if os.path.exists(onnx_file_expected):
         # Should never happen - make sure nothing leftover from an old test.
         print("Artifacts from previous build found!")
         return False
@@ -96,21 +95,16 @@ def run_training(python_version: str, csharp_version: str) -> bool:
     if csharp_version is None and python_version is None:
         model_artifacts_dir = os.path.join(get_base_output_path(), "models")
         os.makedirs(model_artifacts_dir, exist_ok=True)
-        shutil.copy(nn_file_expected, model_artifacts_dir)
         shutil.copy(onnx_file_expected, model_artifacts_dir)
         shutil.copy(frozen_graph_file_expected, model_artifacts_dir)
 
-    if (
-        res.returncode != 0
-        or not os.path.exists(nn_file_expected)
-        or not os.path.exists(onnx_file_expected)
-    ):
+    if res.returncode != 0 or not os.path.exists(onnx_file_expected):
         print("mlagents-learn run FAILED!")
         return False
 
     if csharp_version is None and python_version is None:
         # Use abs path so that loading doesn't get confused
-        model_path = os.path.abspath(os.path.dirname(nn_file_expected))
+        model_path = os.path.abspath(os.path.dirname(onnx_file_expected))
         for extension in ["nn", "onnx"]:
             inference_ok = run_inference(env_path, model_path, extension)
             if not inference_ok: