{
  "model_name": "OverloadModel",
  "version": "v1.0",
  "description": "Multi-table analytics model that predicts acute athlete injury risk and physical overload. It cross-references external GPS load data (totalPlayerLoadAu, highIntensityRunningM) from the sprints db with the athlete's structural lean mass foundation (ffm) from the inbody db to detect if the training volume exceeds the individual's structural tissue capacity.",
  "training_required": true,
  "datasource": {
    "wellness": [
      "athleteId",
      "sleepQuality",
      "fatigueLevel",
      "muscleSoreness"
    ],
    "sprint": [
      "totalPlayerLoadAu",
      "highIntensityRunningM"
    ]
  },
  "model_extension": ".pt",
  "training_metadata": {
    "dataset_name": "OverLoadDataset",
    "dataset_size_samples": 85000,
    "epochs_trained": 32,
    "framework_version": "PyTorch 2.3.0"
  },
  "hyperparameters": {
    "a": "a"
  }
}