results_v2.json

{
  "model_version": "V2",
  "architecture": "VGG16 + GAP + BN + Dense(512,256)",
  "input_size": "224x224x3",
  "classes": [
    "angry",
    "normal",
    "rested",
    "sad",
    "surprised"
  ],
  "num_classes": 5,
  "training_samples": 11513,
  "validation_samples": 2880,
  "V1_accuracy": 0.8118,
  "V2_accuracy": 0.8219,
  "V2_loss": 0.3639,
  "improvement": 0.0101,
  "per_class_accuracy": {
    "angry": 0.9677,
    "normal": 0.6082,
    "rested": 0.6611,
    "sad": 0.8484,
    "surprised": 0.9952
  },
  "training_phases": {
    "phase1": {
      "epochs": 15,
      "lr": 0.0001,
      "frozen": "all VGG16"
    },
    "phase2": {
      "epochs": 25,
      "lr": 1e-05,
      "unfrozen": "last 8 layers"
    }
  }
}