config.json

{
  "model_type": "bytecnn",
  "architecture": "single_layer_cnn",
  "parameters": 10009,
  "embedding_dim": 12,
  "conv_filters": 40,
  "dense_hidden": 128,
  "max_length": 512,
  "vocab_size": 256,
  "activation": "relu",
  "pooling": "avg_max",
  "validation_accuracy": 0.7897,
  "training_samples": 222628,
  "parameter_efficiency": 7.89,
  "size_reduction": 0.72,
  "inference_speed_ms": 1
}