mteb/EmotionClassification.json

{
  "dataset_revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37",
  "task_name": "EmotionClassification",
  "mteb_version": "1.25.1",
  "scores": {
    "test": [
      {
        "accuracy": 0.437,
        "f1": 0.39358,
        "f1_weighted": 0.45983,
        "scores_per_experiment": [
          {
            "accuracy": 0.4555,
            "f1": 0.399212,
            "f1_weighted": 0.484673
          },
          {
            "accuracy": 0.432,
            "f1": 0.394225,
            "f1_weighted": 0.447477
          },
          {
            "accuracy": 0.415,
            "f1": 0.379312,
            "f1_weighted": 0.440126
          },
          {
            "accuracy": 0.413,
            "f1": 0.374642,
            "f1_weighted": 0.440663
          },
          {
            "accuracy": 0.456,
            "f1": 0.41365,
            "f1_weighted": 0.47793
          },
          {
            "accuracy": 0.4375,
            "f1": 0.390637,
            "f1_weighted": 0.45846
          },
          {
            "accuracy": 0.447,
            "f1": 0.402599,
            "f1_weighted": 0.470503
          },
          {
            "accuracy": 0.4135,
            "f1": 0.376153,
            "f1_weighted": 0.428264
          },
          {
            "accuracy": 0.461,
            "f1": 0.414495,
            "f1_weighted": 0.481941
          },
          {
            "accuracy": 0.4395,
            "f1": 0.390877,
            "f1_weighted": 0.468265
          }
        ],
        "main_score": 0.437,
        "hf_subset": "default",
        "languages": [
          "eng-Latn"
        ]
      }
    ]
  },
  "evaluation_time": 7.992861747741699,
  "kg_co2_emissions": null
}