Sentence Similarity
Safetensors
Japanese
bert
feature-extraction
ruri-large / result /summary.json
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{
"Classification": {
"amazon_counterfactual_classification": {
"macro_f1": 0.8080806321853091
},
"amazon_review_classification": {
"macro_f1": 0.5680171450057119
},
"massive_intent_classification": {
"macro_f1": 0.8255898596881264
},
"massive_scenario_classification": {
"macro_f1": 0.8956410349938264
}
},
"Reranking": {
"esci": {
"ndcg@10": 0.9298524733536755
}
},
"Retrieval": {
"jagovfaqs_22k": {
"ndcg@10": 0.7667506664925435
},
"jaqket": {
"ndcg@10": 0.6173871224245404
},
"mrtydi": {
"ndcg@10": 0.3803302462897418
},
"nlp_journal_abs_intro": {
"ndcg@10": 0.8712459719069233
},
"nlp_journal_title_abs": {
"ndcg@10": 0.9657898747088243
},
"nlp_journal_title_intro": {
"ndcg@10": 0.779665053945222
}
},
"STS": {
"jsick": {
"spearman": 0.8199959693684533
},
"jsts": {
"spearman": 0.8426164139167538
}
},
"Clustering": {
"livedoor_news": {
"v_measure_score": 0.5139491572866559
},
"mewsc16": {
"v_measure_score": 0.5225025331595674
}
},
"PairClassification": {
"paws_x_ja": {
"binary_f1": 0.6228813559322034
}
}
}