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{
  "loss": 0.04681828270076949,
  "accuracy": 0.992,
  "macro_f1": 0.9914389425381823,
  "labels": [
    "authorization_access_control",
    "unrelated"
  ],
  "precision": [
    0.9787234042553191,
    1.0
  ],
  "recall": [
    1.0,
    0.9873417721518988
  ],
  "f1": [
    0.989247311827957,
    0.9936305732484076
  ],
  "support": [
    46,
    79
  ],
  "confusion_matrix": [
    [
      46,
      0
    ],
    [
      1,
      78
    ]
  ],
  "classification_report": "                              precision    recall  f1-score   support\n\nauthorization_access_control       0.98      1.00      0.99        46\n                   unrelated       1.00      0.99      0.99        79\n\n                    accuracy                           0.99       125\n                   macro avg       0.99      0.99      0.99       125\n                weighted avg       0.99      0.99      0.99       125\n"
}

	{
	"loss": 0.04681828270076949,
	"accuracy": 0.992,
	"macro_f1": 0.9914389425381823,
	"labels": [
	"authorization_access_control",
	"unrelated"
	],
	"precision": [
	0.9787234042553191,
	1.0
	],
	"recall": [
	1.0,
	0.9873417721518988
	],
	"f1": [
	0.989247311827957,
	0.9936305732484076
	],
	"support": [
	46,
	79
	],
	"confusion_matrix": [
	[
	46,
	0
	],
	[
	1,
	78
	]
	],
	"classification_report": " precision recall f1-score support\n\nauthorization_access_control 0.98 1.00 0.99 46\n unrelated 1.00 0.99 0.99 79\n\n accuracy 0.99 125\n macro avg 0.99 0.99 0.99 125\n weighted avg 0.99 0.99 0.99 125\n"
	}