diff --git a/src/metatrain/experimental/alchemical_model/tests/__init__.py b/src/metatrain/experimental/alchemical_model/tests/__init__.py
index 5fe9b1e1..4fcc1d3f 100644
--- a/src/metatrain/experimental/alchemical_model/tests/__init__.py
+++ b/src/metatrain/experimental/alchemical_model/tests/__init__.py
@@ -4,8 +4,8 @@
 
 DATASET_PATH = str(Path(__file__).parents[5] / "tests/resources/qm9_reduced_100.xyz")
 
-CARBON_DATASET_PATH = str(
-    Path(__file__).parents[5] / "tests/resources/carbon_reduced_100.xyz"
+QM9_DATASET_PATH = str(
+    Path(__file__).parents[5] / "tests/resources/qm9_reduced_100.xyz"
 )
 
 DEFAULT_HYPERS = get_default_hypers("experimental.alchemical_model")
diff --git a/src/metatrain/experimental/alchemical_model/tests/test_torch_alchemical_compatibility.py b/src/metatrain/experimental/alchemical_model/tests/test_torch_alchemical_compatibility.py
index c6c186fc..03b7ef1d 100644
--- a/src/metatrain/experimental/alchemical_model/tests/test_torch_alchemical_compatibility.py
+++ b/src/metatrain/experimental/alchemical_model/tests/test_torch_alchemical_compatibility.py
@@ -17,14 +17,14 @@
 from metatrain.utils.data import DatasetInfo, TargetInfo, TargetInfoDict, read_systems
 from metatrain.utils.neighbor_lists import get_system_with_neighbor_lists
 
-from . import ALCHEMICAL_DATASET_PATH, MODEL_HYPERS
+from . import MODEL_HYPERS, QM9_DATASET_PATH
 
 
 random.seed(0)
 np.random.seed(0)
 torch.manual_seed(0)
 
-systems = read_systems(ALCHEMICAL_DATASET_PATH)
+systems = read_systems(QM9_DATASET_PATH)
 systems = [system.to(torch.float32) for system in systems]
 nl_options = NeighborListOptions(
     cutoff=5.0,
@@ -32,7 +32,7 @@
 )
 systems = [get_system_with_neighbor_lists(system, [nl_options]) for system in systems]
 
-frames = read(ALCHEMICAL_DATASET_PATH, ":")
+frames = read(QM9_DATASET_PATH, ":")
 dataset = AtomisticDataset(
     frames,
     target_properties=["energies", "forces"],
diff --git a/src/metatrain/utils/logging.py b/src/metatrain/utils/logging.py
index 83b0382b..2f2b17ba 100644
--- a/src/metatrain/utils/logging.py
+++ b/src/metatrain/utils/logging.py
@@ -110,7 +110,8 @@ def log(
             logging_string = f"Epoch {epoch:4}"
 
         for name, metrics_dict in zip(self.names, metrics):
-            for key, value in metrics_dict.items():
+            for key in sorted(metrics_dict.keys()):
+                value = metrics_dict[key]
 
                 new_key = key
                 if key != "loss":  # special case: not a metric associated with a target
diff --git a/tests/cli/test_train_model.py b/tests/cli/test_train_model.py
index f810fc7a..a6382a8a 100644
--- a/tests/cli/test_train_model.py
+++ b/tests/cli/test_train_model.py
@@ -14,9 +14,9 @@
 from metatrain import RANDOM_SEED
 from metatrain.cli.train import train_model
 from metatrain.utils.errors import ArchitectureError
-from metatrain.utils.logging import setup_logging
 
 from . import (
+    DATASET_PATH_CARBON,
     DATASET_PATH_ETHANOL,
     DATASET_PATH_QM9,
     MODEL_PATH_64_BIT,
@@ -513,19 +513,45 @@ def test_train_issue_290(monkeypatch, tmp_path):
     train_model(options)
 
 
-# def test_train_log_order(caplog, monkeypatch, tmp_path, options):
-#     """Tests that the log is always printed in the same order for forces
-#     and virials."""
+def test_train_log_order(caplog, monkeypatch, tmp_path, options):
+    """Tests that the log is always printed in the same order for forces
+    and virials."""
 
-#     caplog.set_level(logging.INFO)
-#     logger = logging.getLogger()
+    monkeypatch.chdir(tmp_path)
+    shutil.copy(DATASET_PATH_CARBON, "carbon_reduced_100.xyz")
+
+    options["architecture"]["training"]["num_epochs"] = 5
+    options["architecture"]["training"]["log_interval"] = 1
+
+    options["training_set"]["systems"]["read_from"] = str(DATASET_PATH_CARBON)
+    options["training_set"]["targets"]["energy"]["read_from"] = str(DATASET_PATH_CARBON)
+    options["training_set"]["targets"]["energy"]["key"] = "energy"
+    options["training_set"]["targets"]["energy"]["forces"] = {
+        "key": "force",
+    }
+    options["training_set"]["targets"]["energy"]["virial"] = True
+
+    caplog.set_level(logging.INFO)
+
+    train_model(options)
+
+    log_test = caplog.text
+
+    print(log_test)
 
-#     with setup_logging(logger, level=logging.INFO):
-#         logger.info("foo")
-#         logger.debug("A debug message")
+    # find all the lines that have "Epoch" in them; these are the lines that
+    # contain the training metrics
+    epoch_lines = [line for line in log_test.split("\n") if "Epoch" in line]
 
-#     stdout_log = capsys.readouterr().out
+    # check that "training forces RMSE" comes before "training virial RMSE"
+    # in every line
+    for line in epoch_lines:
+        force_index = line.index("training forces RMSE")
+        virial_index = line.index("training virial RMSE")
+        assert force_index < virial_index
 
-#     assert "Logging to file is disabled." not in caplog.text  # DEBUG message
-#     assert_log_entry(stdout_log, loglevel="INFO", message="foo")
-#     assert "A debug message" not in stdout_log
+    # same for validation
+    for line in epoch_lines:
+        force_index = line.index("validation forces RMSE")
+        virial_index = line.index("validation virial RMSE")
+        assert force_index < virial_index