[flax:examples:nlp_seq] Create a main.py file to run tests with config files to match other examples. #jax-fixit

PiperOrigin-RevId: 840822537

Author: danielsuo

examples/nlp_seq/configs/default.py

@@ -0,0 +1,49 @@
+# 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 hyperparameters for NLP sequence tagging."""
+
+import ml_collections
+
+
+def get_config():
+  """Get the default hyperparameter configuration."""
+  config = ml_collections.ConfigDict()
+
+  # Model directory for checkpoints and logs
+  config.model_dir = ''
+
+  # Experiment name
+  config.experiment = 'xpos'
+
+  # Training hyperparameters
+  config.batch_size = 64
+  config.num_train_steps = 75000
+  config.eval_frequency = 100
+
+  # Optimizer hyperparameters
+  config.learning_rate = 0.05
+  config.weight_decay = 1e-1
+
+  # Model hyperparameters
+  config.max_length = 256
+
+  # Random seed
+  config.random_seed = 0
+
+  # Data paths
+  config.train = ''
+  config.dev = ''
+
+  return config

examples/nlp_seq/main.py

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+# Copyright 2024 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 file for running the NLP sequence tagging example.
+
+This file is intentionally kept short to allow config-based execution.
+"""
+
+from absl import app
+from absl import flags
+import train
+from ml_collections import config_flags
+
+
+FLAGS = flags.FLAGS
+
+config_flags.DEFINE_config_file(
+    'config',
+    'configs/default.py',
+    'File path to the training hyperparameter configuration.',
+    lock_config=True,
+)
+
+
+def main(argv):
+  if len(argv) > 1:
+    raise app.UsageError('Too many command-line arguments.')
+
+  # Convert config to FLAGS for train.py compatibility
+  config = FLAGS.config
+
+  # Override FLAGS with config values
+  FLAGS.model_dir = config.model_dir
+  FLAGS.experiment = config.experiment
+  FLAGS.batch_size = config.batch_size
+  FLAGS.eval_frequency = config.eval_frequency
+  FLAGS.num_train_steps = config.num_train_steps
+  FLAGS.learning_rate = config.learning_rate
+  FLAGS.weight_decay = config.weight_decay
+  FLAGS.max_length = config.max_length
+  FLAGS.random_seed = config.random_seed
+  FLAGS.train = config.train
+  FLAGS.dev = config.dev
+
+  # Run the training
+  train.main(argv)
+
+
+if __name__ == '__main__':
+  app.run(main)