{
  "title": "Gated Recurrent Unit (GRU)",
  "network_type": "gru",
  "environment": {
    "platform": "Linux-6.18.35-x86_64-with-glibc2.41",
    "machine": "x86_64",
    "python": "3.13.5",
    "torch": "2.10.0+cpu",
    "device": "cpu",
    "mps_available": false,
    "cuda_available": false,
    "seed": 42
  },
  "baseline": {
    "validation_accuracy": 0.8933333333333333,
    "test_accuracy": 0.8888888888888888,
    "train_seconds": 0.3313264846801758
  },
  "optimized": {
    "validation_accuracy": 0.9066666666666666,
    "test_accuracy": 0.8977777777777778,
    "train_seconds": 1.012256383895874
  },
  "optimization_decision": "Increase recurrent state size and reduce learning rate to improve retention of sequence information and training stability.",
  "artifact": "baseline-vs-optimized.png"
}
