bambezius/dissertation-gnn

gnn

JAX checkpoint for the GatV2 shared-trunk graph model with separate intention and outcome heads.

Checkpoint

• Model class: GatV2
• Framework: jax
• Run timestamp: 20260430_103325
• Parameters: model_params.joblib
• Hyperparameters: config.json
• Metrics: metrics.json

Validation Metrics

{
  "val/loss": 1.1955294609069824,
  "val/intention_top1_accuracy": 0.6223060488700867,
  "val/intention_top2_accuracy": 0.8227370381355286,
  "val/intention_top3_accuracy": 0.9057111740112305,
  "val/intention_mrr": 0.7693313956260681,
  "val/outcome_top1_accuracy": 0.5634428858757019,
  "val/outcome_top2_accuracy": 0.7412446141242981,
  "val/outcome_top3_accuracy": 0.8213900923728943,
  "val/outcome_mrr": 0.7087604999542236
}

Loading

import json
from pathlib import Path

import joblib

checkpoint_path = Path("path/to/checkpoint")

with open(checkpoint_path / "config.json") as f:
    config = json.load(f)

params = joblib.load(checkpoint_path / "model_params.joblib")