{
  "model_type": "SimpleRNN_for_Sequence_Classification",
  "embedding_layer": {
    "input_dim": 10000,
    "output_dim": 32
  },
  "rnn_layer": {
    "type": "SimpleRNN",
    "units": 32
  },
  "classifier_head": {
    "units": 1,
    "activation": "sigmoid"
  },
  "preprocessing": {
    "max_sequence_length": 256,
    "padding_type": "pre"
  },
  "training_details": {
    "loss_function": "binary_crossentropy",
    "optimizer": "adam",
    "metrics": ["accuracy"]
  }
}