{
  "dataset_revision": "41d85185019495609522fece20e93d11ab705301",
  "task_name": "NLPTwitterAnalysisClassification.v2",
  "mteb_version": "1.38.38",
  "scores": {
    "test": [
      {
        "accuracy": 0.714887,
        "f1": 0.730987,
        "f1_weighted": 0.717155,
        "scores_per_experiment": [
          {
            "accuracy": 0.718045,
            "f1": 0.734377,
            "f1_weighted": 0.721652
          },
          {
            "accuracy": 0.715038,
            "f1": 0.732168,
            "f1_weighted": 0.717175
          },
          {
            "accuracy": 0.722556,
            "f1": 0.737393,
            "f1_weighted": 0.722387
          },
          {
            "accuracy": 0.709023,
            "f1": 0.724403,
            "f1_weighted": 0.709066
          },
          {
            "accuracy": 0.709774,
            "f1": 0.728265,
            "f1_weighted": 0.713957
          },
          {
            "accuracy": 0.710526,
            "f1": 0.72951,
            "f1_weighted": 0.715785
          },
          {
            "accuracy": 0.706015,
            "f1": 0.721161,
            "f1_weighted": 0.70664
          },
          {
            "accuracy": 0.730075,
            "f1": 0.746289,
            "f1_weighted": 0.735125
          },
          {
            "accuracy": 0.718045,
            "f1": 0.732287,
            "f1_weighted": 0.718459
          },
          {
            "accuracy": 0.709774,
            "f1": 0.724021,
            "f1_weighted": 0.711304
          }
        ],
        "main_score": 0.714887,
        "hf_subset": "default",
        "languages": [
          "fas-Arab"
        ]
      }
    ]
  },
  "evaluation_time": 35.226030588150024,
  "kg_co2_emissions": null
}