diff --git a/tests/freqai/test_freqai_interface.py b/tests/freqai/test_freqai_interface.py
index f8bee3659..da3c28de8 100644
--- a/tests/freqai/test_freqai_interface.py
+++ b/tests/freqai/test_freqai_interface.py
@@ -52,7 +52,8 @@ def can_run_model(model: str) -> None:
     ('ReinforcementLearner_multiproc', False, False, False, True, False, 0),
     ('ReinforcementLearner_test_3ac', False, False, False, False, False, 0),
     ('ReinforcementLearner_test_3ac', False, False, False, True, False, 0),
-    ('ReinforcementLearner_test_4ac', False, False, False, True, False, 0)
+    ('ReinforcementLearner_test_4ac', False, False, False, True, False, 0),
+    ('PyTorchClassifierMultiTarget', False, False, False, True, False, 0)
     ])
 def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
                                                dbscan, float32, can_short, shuffle, buffer):
@@ -85,6 +86,21 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
     if 'test_3ac' in model or 'test_4ac' in model:
         freqai_conf["freqaimodel_path"] = str(Path(__file__).parents[1] / "freqai" / "test_models")
 
+    if 'PyTorchClassifierMultiTarget' in model:
+        model_save_ext = 'zip'
+        freqai_conf['freqai']['model_training_parameters'].update({
+            "n_hidden": 1024,
+            "max_iters": 100,
+            "batch_size": 64,
+            "learning_rate": 3e-4,
+            "max_n_eval_batches": None,
+            "model_kwargs": {
+                "hidden_dim": 1024,
+                "dropout_percent": 0.2,
+                "n_layer": 1,
+            }
+        })
+
     strategy = get_patched_freqai_strategy(mocker, freqai_conf)
     exchange = get_patched_exchange(mocker, freqai_conf)
     strategy.dp = DataProvider(freqai_conf, exchange)