diff --git a/examples/seq2seq/configs/default.py b/examples/seq2seq/configs/default.py
new file mode 100644
index 000000000..57b8609c5
--- /dev/null
+++ b/examples/seq2seq/configs/default.py
@@ -0,0 +1,32 @@
+# Copyright 2025 The Flax Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Default Hyperparameter configuration."""
+
+import ml_collections
+
+
+def get_config():
+  """Get the default hyperparameter configuration."""
+  config = ml_collections.ConfigDict()
+
+  config.workdir = '/tmp/seq2seq'
+  config.learning_rate = 0.003
+  config.batch_size = 128
+  config.hidden_size = 512
+  config.num_train_steps = 10000
+  config.decode_frequency = 200
+  config.max_len_query_digit = 3
+
+  return config
diff --git a/examples/seq2seq/main.py b/examples/seq2seq/main.py
new file mode 100644
index 000000000..d2f4747f0
--- /dev/null
+++ b/examples/seq2seq/main.py
@@ -0,0 +1,52 @@
+# Copyright 2025 The Flax Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Main script for seq2seq example."""
+
+from absl import app
+from absl import flags
+from absl import logging
+import train
+from ml_collections import config_flags
+
+FLAGS = flags.FLAGS
+
+config_flags.DEFINE_config_file(
+    'config',
+    None,
+    'File path to the training hyperparameter configuration.',
+    lock_config=True,
+)
+
+
+def main(argv):
+  del argv
+
+  config = FLAGS.config
+
+  # Set train.FLAGS values from config
+  train.FLAGS.workdir = config.workdir
+  train.FLAGS.learning_rate = config.learning_rate
+  train.FLAGS.batch_size = config.batch_size
+  train.FLAGS.hidden_size = config.hidden_size
+  train.FLAGS.num_train_steps = config.num_train_steps
+  train.FLAGS.decode_frequency = config.decode_frequency
+  train.FLAGS.max_len_query_digit = config.max_len_query_digit
+
+  logging.info('Starting training with config: %s', config)
+  _ = train.train_and_evaluate(train.FLAGS.workdir)
+
+
+if __name__ == '__main__':
+  app.run(main)