Sentence Similarity
Safetensors
Japanese
bert
feature-extraction
ruri-base / result /Retrieval /scores_nlp_journal_title_abs.json
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{
"metric_name": "ndcg@10",
"metric_value": 0.9656989703684407,
"details": {
"optimal_distance_metric": "cosine_similarity",
"val_scores": {
"cosine_similarity": {
"accuracy@1": 0.9,
"accuracy@3": 0.96,
"accuracy@5": 0.98,
"accuracy@10": 0.99,
"ndcg@10": 0.9477320812882918,
"mrr@10": 0.9339444444444445
},
"dot_score": {
"accuracy@1": 0.82,
"accuracy@3": 0.92,
"accuracy@5": 0.94,
"accuracy@10": 0.96,
"ndcg@10": 0.8940025955079818,
"mrr@10": 0.8724285714285713
},
"euclidean_distance": {
"accuracy@1": 0.89,
"accuracy@3": 0.97,
"accuracy@5": 0.98,
"accuracy@10": 0.99,
"ndcg@10": 0.9453171995628784,
"mrr@10": 0.9304166666666666
}
},
"test_scores": {
"cosine_similarity": {
"accuracy@1": 0.9306930693069307,
"accuracy@3": 0.9777227722772277,
"accuracy@5": 0.9876237623762376,
"accuracy@10": 0.995049504950495,
"ndcg@10": 0.9656989703684407,
"mrr@10": 0.955987741631306
}
}
}
}