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{
  "checkpoint": "casting_cnn.pth",
  "validation": {
    "accuracy": 0.9954337899543378,
    "precision_macro": 0.9953362800030287,
    "recall_macro": 0.9953362800030287,
    "macro_f1": 0.9953362800030287,
    "per_class_precision": {
      "def_front": 0.9960106382978723,
      "ok_front": 0.994661921708185
    },
    "per_class_recall": {
      "def_front": 0.9960106382978723,
      "ok_front": 0.994661921708185
    },
    "per_class_f1": {
      "def_front": 0.9960106382978723,
      "ok_front": 0.994661921708185
    },
    "confusion_matrix": [
      [
        749,
        3
      ],
      [
        3,
        559
      ]
    ],
    "classes": [
      "def_front",
      "ok_front"
    ],
    "mean_inference_latency_ms": 0.6061720205487975
  },
  "test": {
    "accuracy": 0.986013986013986,
    "precision_macro": 0.9849392514702662,
    "recall_macro": 0.9849392514702662,
    "macro_f1": 0.9849392514702662,
    "per_class_precision": {
      "def_front": 0.9889624724061811,
      "ok_front": 0.9809160305343512
    },
    "per_class_recall": {
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      "ok_front": 0.9809160305343512
    },
    "per_class_f1": {
      "def_front": 0.9889624724061811,
      "ok_front": 0.9809160305343512
    },
    "confusion_matrix": [
      [
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        5
      ],
      [
        5,
        257
      ]
    ],
    "classes": [
      "def_front",
      "ok_front"
    ],
    "mean_inference_latency_ms": 0.6078423272728369
  }
}