Sentence Similarity
Safetensors
Japanese
bert
feature-extraction
ruri-base / result /PairClassification /scores_paws_x_ja.json
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{
"metric_name": "binary_f1",
"metric_value": 0.6237623762376238,
"details": {
"optimal_distance_metric": "euclidean_distances",
"val_scores": {
"cosine_distances": {
"accuracy": 0.5725,
"accuracy_threshold": 0.6920696496963501,
"binary_f1": 0.5979670522257273,
"binary_f1_threshold": 1.0
},
"manhatten_distances": {
"accuracy": 0.6015,
"accuracy_threshold": 19.63576316833496,
"binary_f1": 0.6017636684303351,
"binary_f1_threshold": 274.46441650390625
},
"euclidean_distances": {
"accuracy": 0.602,
"accuracy_threshold": 0.9731899499893188,
"binary_f1": 0.6019760056457304,
"binary_f1_threshold": 12.281266212463379
},
"dot_similarities": {
"accuracy": 0.574,
"accuracy_threshold": 332.39276123046875,
"binary_f1": 0.6014825273561596,
"binary_f1_threshold": 263.39337158203125
}
},
"test_scores": {
"euclidean_distances": {
"accuracy": 0.566,
"accuracy_threshold": 0.9731899499893188,
"binary_f1": 0.6237623762376238,
"binary_f1_threshold": 12.281266212463379
}
}
}
}