{
  "model_type": "lstm",
  "base_model": "LSTM",
  "library_name": "tensorflow",
  "vocab_size": 500,
  "embedding_dim": 64,
  "hidden_size": 64,
  "num_layers": 2,
  "dropout_rate": 0.2,
  "max_sequence_length": 10,
  "batch_size": 8,
  "epochs": 50,
  "loss_function": "sparse_categorical_crossentropy",
  "optimizer": "adam",
  "metrics": ["accuracy"],
  "train_data_size": 5000,
  "categories": [
    "Lifestyle",
    "Movies & Entertainment",
    "Food & Dining",
    "Others"
  ]
}