{
  "model_name": "UBC-NLP/MARBERTv2",
  "architecture": "AspectSentimentModel",
  "num_aspects": 9,
  "num_sentiment_classes": 3,
  "dropout_rate": 0.15,
  "hidden_dim": 384,
  "mean_pool": true,
  "max_length": 256,
  "neutral_margin": 0.08,
  "neutral_boost": 5.0,
  "aspect_names": [
    "food",
    "service",
    "price",
    "cleanliness",
    "delivery",
    "ambiance",
    "app_experience",
    "general",
    "none"
  ],
  "sentiment_map": {
    "positive": 0,
    "negative": 1,
    "neutral": 2
  },
  "best_joint_f1": 0.7831,
  "best_threshold": 0.55,
  "best_epoch": 8,
  "stage": "STAGE 4 — Neutral consolidation (encoder frozen)",
  "val_metrics": {
    "aspect_f1": 0.8611,
    "aspect_precision": 0.8776,
    "aspect_recall": 0.8452,
    "sentiment_f1": 0.9113,
    "sentiment_precision": 0.9113,
    "sentiment_recall": 0.9113,
    "joint_f1": 0.7847,
    "joint_precision": 0.7998,
    "joint_recall": 0.7702,
    "aspect_per_class": {
      "food": {
        "f1": 0.8911,
        "precision": 0.9,
        "recall": 0.8824
      },
      "service": {
        "f1": 0.8947,
        "precision": 0.917,
        "recall": 0.8735
      },
      "price": {
        "f1": 0.8333,
        "precision": 0.8553,
        "recall": 0.8125
      },
      "cleanliness": {
        "f1": 0.8247,
        "precision": 0.8696,
        "recall": 0.7843
      },
      "delivery": {
        "f1": 0.8043,
        "precision": 0.8409,
        "recall": 0.7708
      },
      "ambiance": {
        "f1": 0.8105,
        "precision": 0.8556,
        "recall": 0.77
      },
      "app_experience": {
        "f1": 0.8954,
        "precision": 0.8992,
        "recall": 0.8917
      },
      "general": {
        "f1": 0.8333,
        "precision": 0.7927,
        "recall": 0.8784
      },
      "none": {
        "f1": 0.6957,
        "precision": 0.7273,
        "recall": 0.6667
      }
    },
    "sentiment_per_class": {
      "positive": {
        "f1": 0.932,
        "precision": 0.9332,
        "recall": 0.9308
      },
      "negative": {
        "f1": 0.9202,
        "precision": 0.9033,
        "recall": 0.9377
      },
      "neutral": {
        "f1": 0.5,
        "precision": 0.619,
        "recall": 0.4194
      }
    },
    "val_loss": 2.8323
  }
}