config.json

{
  "architecture": "HowzerSeverityTransformer",
  "backbone": "deepset/gbert-large",
  "max_length": 192,
  "encoder_dims": [
    256,
    128
  ],
  "encoder_dropout": 0.1,
  "head_hidden": 64,
  "n_parameters": 336057225,
  "checkpoint_epoch": 16,
  "val_metrics": {
    "score": 0.003319413863646332,
    "dims": 0.0061797129292972385,
    "tier": 0.03314892418784439,
    "total": 0.1454142402485013,
    "tier_accuracy": 0.98,
    "score_mae": 0.04244811227545142
  },
  "tier_names": [
    "low",
    "medium",
    "high",
    "critical"
  ],
  "tier_thresholds": {
    "low": 0.31,
    "medium": 0.56,
    "high": 0.7,
    "critical": 1.0
  },
  "dim_names": [
    "emotional_intensity",
    "impact_severity",
    "service_failure",
    "irreversibility"
  ],
  "output_names": [
    "severity_score",
    "dimensions",
    "tier_logits"
  ],
  "version": "ml-v2.1.0-de"
}