Sentence Similarity
Safetensors
Japanese
distilbert
feature-extraction
ruri-small / result /Retrieval /scores_jaqket.json
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{
"metric_name": "ndcg@10",
"metric_value": 0.484437639428696,
"details": {
"optimal_distance_metric": "cosine_similarity",
"val_scores": {
"cosine_similarity": {
"accuracy@1": 0.32964824120603015,
"accuracy@3": 0.49246231155778897,
"accuracy@5": 0.5718592964824121,
"accuracy@10": 0.6522613065326633,
"ndcg@10": 0.48355974964323734,
"mrr@10": 0.4303046980936424
},
"dot_score": {
"accuracy@1": 0.1306532663316583,
"accuracy@3": 0.24824120603015076,
"accuracy@5": 0.3005025125628141,
"accuracy@10": 0.4120603015075377,
"ndcg@10": 0.2557712936565093,
"mrr@10": 0.20779014118210082
},
"euclidean_distance": {
"accuracy@1": 0.32663316582914576,
"accuracy@3": 0.4864321608040201,
"accuracy@5": 0.5618090452261306,
"accuracy@10": 0.6462311557788945,
"ndcg@10": 0.47854687532079854,
"mrr@10": 0.4257059105049051
}
},
"test_scores": {
"cosine_similarity": {
"accuracy@1": 0.31995987963891676,
"accuracy@3": 0.4954864593781344,
"accuracy@5": 0.5777331995987964,
"accuracy@10": 0.6619859578736209,
"ndcg@10": 0.484437639428696,
"mrr@10": 0.4284834662718312
}
}
}
}