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cl-nagoya
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ruri-base

Sentence Similarity
Safetensors
Japanese
bert
feature-extraction
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ruri-base
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{
    "metric_name": "v_measure_score",
    "metric_value": 0.5427223607801758,
    "details": {
        "optimal_clustering_model_name": "BisectingKMeans",
        "val_scores": {
            "MiniBatchKMeans": {
                "v_measure_score": 0.5453092926343514,
                "homogeneity_score": 0.5376167786682042,
                "completeness_score": 0.5532251395371498
            },
            "AgglomerativeClustering": {
                "v_measure_score": 0.5221218542278205,
                "homogeneity_score": 0.5145096860981694,
                "completeness_score": 0.5299626488611732
            },
            "BisectingKMeans": {
                "v_measure_score": 0.5498693214751904,
                "homogeneity_score": 0.5475063196854639,
                "completeness_score": 0.552252808804315
            },
            "Birch": {
                "v_measure_score": 0.5208037508658081,
                "homogeneity_score": 0.5132767763409753,
                "completeness_score": 0.5285547703444661
            }
        },
        "test_scores": {
            "BisectingKMeans": {
                "v_measure_score": 0.5427223607801758,
                "homogeneity_score": 0.5417341205522448,
                "completeness_score": 0.5437142131253088
            }
        }
    }
}