{
    "metric_name": "ndcg@10",
    "metric_value": 0.3342716158897666,
    "details": {
        "optimal_distance_metric": "euclidean_distance",
        "val_scores": {
            "cosine_similarity": {
                "accuracy@1": 0.21551724137931033,
                "accuracy@3": 0.3609913793103448,
                "accuracy@5": 0.42995689655172414,
                "accuracy@10": 0.509698275862069,
                "ndcg@10": 0.3532634556091773,
                "mrr@10": 0.30418462643678146
            },
            "dot_score": {
                "accuracy@1": 0.04310344827586207,
                "accuracy@3": 0.08836206896551724,
                "accuracy@5": 0.11530172413793104,
                "accuracy@10": 0.15301724137931033,
                "ndcg@10": 0.09304385842795544,
                "mrr@10": 0.0744680487137384
            },
            "euclidean_distance": {
                "accuracy@1": 0.2252155172413793,
                "accuracy@3": 0.3760775862068966,
                "accuracy@5": 0.4418103448275862,
                "accuracy@10": 0.53125,
                "ndcg@10": 0.3684043180071825,
                "mrr@10": 0.31742739121510655
            }
        },
        "test_scores": {
            "euclidean_distance": {
                "accuracy@1": 0.2013888888888889,
                "accuracy@3": 0.375,
                "accuracy@5": 0.4638888888888889,
                "accuracy@10": 0.5541666666666667,
                "ndcg@10": 0.3342716158897666,
                "mrr@10": 0.30838458994708995
            }
        }
    }
}