model-b-structured / final_metrics.json
radoslavralev's picture
Training in progress, step 5000
4ada0d8 verified
{
"nano_beir": {
"NanoClimateFEVER_cosine_accuracy@1": 0.22,
"NanoClimateFEVER_cosine_accuracy@3": 0.36,
"NanoClimateFEVER_cosine_accuracy@5": 0.44,
"NanoClimateFEVER_cosine_accuracy@10": 0.68,
"NanoClimateFEVER_cosine_precision@1": 0.22,
"NanoClimateFEVER_cosine_precision@3": 0.12,
"NanoClimateFEVER_cosine_precision@5": 0.09200000000000001,
"NanoClimateFEVER_cosine_precision@10": 0.08,
"NanoClimateFEVER_cosine_recall@1": 0.10166666666666666,
"NanoClimateFEVER_cosine_recall@3": 0.1433333333333333,
"NanoClimateFEVER_cosine_recall@5": 0.19666666666666666,
"NanoClimateFEVER_cosine_recall@10": 0.32233333333333336,
"NanoClimateFEVER_cosine_ndcg@10": 0.24154521021050848,
"NanoClimateFEVER_cosine_mrr@10": 0.3309126984126983,
"NanoClimateFEVER_cosine_map@100": 0.17419838412151278,
"NanoDBPedia_cosine_accuracy@1": 0.62,
"NanoDBPedia_cosine_accuracy@3": 0.78,
"NanoDBPedia_cosine_accuracy@5": 0.84,
"NanoDBPedia_cosine_accuracy@10": 0.92,
"NanoDBPedia_cosine_precision@1": 0.62,
"NanoDBPedia_cosine_precision@3": 0.5199999999999999,
"NanoDBPedia_cosine_precision@5": 0.452,
"NanoDBPedia_cosine_precision@10": 0.364,
"NanoDBPedia_cosine_recall@1": 0.07067219113244924,
"NanoDBPedia_cosine_recall@3": 0.1473605766367288,
"NanoDBPedia_cosine_recall@5": 0.18535916558236945,
"NanoDBPedia_cosine_recall@10": 0.27484027728017424,
"NanoDBPedia_cosine_ndcg@10": 0.4817256707832707,
"NanoDBPedia_cosine_mrr@10": 0.7183571428571429,
"NanoDBPedia_cosine_map@100": 0.3555155246867996,
"NanoFEVER_cosine_accuracy@1": 0.76,
"NanoFEVER_cosine_accuracy@3": 0.84,
"NanoFEVER_cosine_accuracy@5": 0.9,
"NanoFEVER_cosine_accuracy@10": 0.9,
"NanoFEVER_cosine_precision@1": 0.76,
"NanoFEVER_cosine_precision@3": 0.29333333333333333,
"NanoFEVER_cosine_precision@5": 0.18799999999999997,
"NanoFEVER_cosine_precision@10": 0.09399999999999999,
"NanoFEVER_cosine_recall@1": 0.7066666666666666,
"NanoFEVER_cosine_recall@3": 0.7933333333333333,
"NanoFEVER_cosine_recall@5": 0.8533333333333333,
"NanoFEVER_cosine_recall@10": 0.8533333333333333,
"NanoFEVER_cosine_ndcg@10": 0.7928392587586685,
"NanoFEVER_cosine_mrr@10": 0.805,
"NanoFEVER_cosine_map@100": 0.7629176534259828,
"NanoFiQA2018_cosine_accuracy@1": 0.3,
"NanoFiQA2018_cosine_accuracy@3": 0.4,
"NanoFiQA2018_cosine_accuracy@5": 0.42,
"NanoFiQA2018_cosine_accuracy@10": 0.52,
"NanoFiQA2018_cosine_precision@1": 0.3,
"NanoFiQA2018_cosine_precision@3": 0.1733333333333333,
"NanoFiQA2018_cosine_precision@5": 0.124,
"NanoFiQA2018_cosine_precision@10": 0.08,
"NanoFiQA2018_cosine_recall@1": 0.14474603174603173,
"NanoFiQA2018_cosine_recall@3": 0.2201031746031746,
"NanoFiQA2018_cosine_recall@5": 0.2519365079365079,
"NanoFiQA2018_cosine_recall@10": 0.31682539682539684,
"NanoFiQA2018_cosine_ndcg@10": 0.2761214091575939,
"NanoFiQA2018_cosine_mrr@10": 0.35405555555555557,
"NanoFiQA2018_cosine_map@100": 0.23650883511668197,
"NanoHotpotQA_cosine_accuracy@1": 0.7,
"NanoHotpotQA_cosine_accuracy@3": 0.76,
"NanoHotpotQA_cosine_accuracy@5": 0.78,
"NanoHotpotQA_cosine_accuracy@10": 0.8,
"NanoHotpotQA_cosine_precision@1": 0.7,
"NanoHotpotQA_cosine_precision@3": 0.3733333333333333,
"NanoHotpotQA_cosine_precision@5": 0.244,
"NanoHotpotQA_cosine_precision@10": 0.13399999999999998,
"NanoHotpotQA_cosine_recall@1": 0.35,
"NanoHotpotQA_cosine_recall@3": 0.56,
"NanoHotpotQA_cosine_recall@5": 0.61,
"NanoHotpotQA_cosine_recall@10": 0.67,
"NanoHotpotQA_cosine_ndcg@10": 0.6362341710243232,
"NanoHotpotQA_cosine_mrr@10": 0.7373333333333334,
"NanoHotpotQA_cosine_map@100": 0.579012255659608,
"NanoMSMARCO_cosine_accuracy@1": 0.28,
"NanoMSMARCO_cosine_accuracy@3": 0.58,
"NanoMSMARCO_cosine_accuracy@5": 0.64,
"NanoMSMARCO_cosine_accuracy@10": 0.72,
"NanoMSMARCO_cosine_precision@1": 0.28,
"NanoMSMARCO_cosine_precision@3": 0.19333333333333333,
"NanoMSMARCO_cosine_precision@5": 0.128,
"NanoMSMARCO_cosine_precision@10": 0.07200000000000001,
"NanoMSMARCO_cosine_recall@1": 0.28,
"NanoMSMARCO_cosine_recall@3": 0.58,
"NanoMSMARCO_cosine_recall@5": 0.64,
"NanoMSMARCO_cosine_recall@10": 0.72,
"NanoMSMARCO_cosine_ndcg@10": 0.5075011853031293,
"NanoMSMARCO_cosine_mrr@10": 0.4386111111111111,
"NanoMSMARCO_cosine_map@100": 0.4533366047009664,
"NanoNFCorpus_cosine_accuracy@1": 0.38,
"NanoNFCorpus_cosine_accuracy@3": 0.46,
"NanoNFCorpus_cosine_accuracy@5": 0.54,
"NanoNFCorpus_cosine_accuracy@10": 0.64,
"NanoNFCorpus_cosine_precision@1": 0.38,
"NanoNFCorpus_cosine_precision@3": 0.3,
"NanoNFCorpus_cosine_precision@5": 0.3,
"NanoNFCorpus_cosine_precision@10": 0.276,
"NanoNFCorpus_cosine_recall@1": 0.012479157217241355,
"NanoNFCorpus_cosine_recall@3": 0.04881894595681059,
"NanoNFCorpus_cosine_recall@5": 0.06922116223257517,
"NanoNFCorpus_cosine_recall@10": 0.10938910626227699,
"NanoNFCorpus_cosine_ndcg@10": 0.30283246736353403,
"NanoNFCorpus_cosine_mrr@10": 0.45196825396825396,
"NanoNFCorpus_cosine_map@100": 0.12231981928859673,
"NanoNQ_cosine_accuracy@1": 0.32,
"NanoNQ_cosine_accuracy@3": 0.54,
"NanoNQ_cosine_accuracy@5": 0.6,
"NanoNQ_cosine_accuracy@10": 0.66,
"NanoNQ_cosine_precision@1": 0.32,
"NanoNQ_cosine_precision@3": 0.18666666666666665,
"NanoNQ_cosine_precision@5": 0.128,
"NanoNQ_cosine_precision@10": 0.07,
"NanoNQ_cosine_recall@1": 0.3,
"NanoNQ_cosine_recall@3": 0.51,
"NanoNQ_cosine_recall@5": 0.58,
"NanoNQ_cosine_recall@10": 0.64,
"NanoNQ_cosine_ndcg@10": 0.48687028758380874,
"NanoNQ_cosine_mrr@10": 0.4465,
"NanoNQ_cosine_map@100": 0.4417143853257704,
"NanoQuoraRetrieval_cosine_accuracy@1": 0.88,
"NanoQuoraRetrieval_cosine_accuracy@3": 1.0,
"NanoQuoraRetrieval_cosine_accuracy@5": 1.0,
"NanoQuoraRetrieval_cosine_accuracy@10": 1.0,
"NanoQuoraRetrieval_cosine_precision@1": 0.88,
"NanoQuoraRetrieval_cosine_precision@3": 0.41999999999999993,
"NanoQuoraRetrieval_cosine_precision@5": 0.26799999999999996,
"NanoQuoraRetrieval_cosine_precision@10": 0.13599999999999998,
"NanoQuoraRetrieval_cosine_recall@1": 0.7773333333333332,
"NanoQuoraRetrieval_cosine_recall@3": 0.972,
"NanoQuoraRetrieval_cosine_recall@5": 0.9893333333333334,
"NanoQuoraRetrieval_cosine_recall@10": 0.9926666666666667,
"NanoQuoraRetrieval_cosine_ndcg@10": 0.9483612484877714,
"NanoQuoraRetrieval_cosine_mrr@10": 0.9366666666666665,
"NanoQuoraRetrieval_cosine_map@100": 0.9296388888888888,
"NanoSCIDOCS_cosine_accuracy@1": 0.46,
"NanoSCIDOCS_cosine_accuracy@3": 0.68,
"NanoSCIDOCS_cosine_accuracy@5": 0.84,
"NanoSCIDOCS_cosine_accuracy@10": 0.9,
"NanoSCIDOCS_cosine_precision@1": 0.46,
"NanoSCIDOCS_cosine_precision@3": 0.3533333333333333,
"NanoSCIDOCS_cosine_precision@5": 0.304,
"NanoSCIDOCS_cosine_precision@10": 0.18999999999999997,
"NanoSCIDOCS_cosine_recall@1": 0.09666666666666666,
"NanoSCIDOCS_cosine_recall@3": 0.21766666666666665,
"NanoSCIDOCS_cosine_recall@5": 0.31266666666666665,
"NanoSCIDOCS_cosine_recall@10": 0.3896666666666666,
"NanoSCIDOCS_cosine_ndcg@10": 0.3893008993021786,
"NanoSCIDOCS_cosine_mrr@10": 0.6114444444444443,
"NanoSCIDOCS_cosine_map@100": 0.3091964898288773,
"NanoArguAna_cosine_accuracy@1": 0.22,
"NanoArguAna_cosine_accuracy@3": 0.54,
"NanoArguAna_cosine_accuracy@5": 0.58,
"NanoArguAna_cosine_accuracy@10": 0.74,
"NanoArguAna_cosine_precision@1": 0.22,
"NanoArguAna_cosine_precision@3": 0.18,
"NanoArguAna_cosine_precision@5": 0.11600000000000002,
"NanoArguAna_cosine_precision@10": 0.07400000000000001,
"NanoArguAna_cosine_recall@1": 0.22,
"NanoArguAna_cosine_recall@3": 0.54,
"NanoArguAna_cosine_recall@5": 0.58,
"NanoArguAna_cosine_recall@10": 0.74,
"NanoArguAna_cosine_ndcg@10": 0.4674888162177975,
"NanoArguAna_cosine_mrr@10": 0.3815793650793651,
"NanoArguAna_cosine_map@100": 0.3917367299367299,
"NanoSciFact_cosine_accuracy@1": 0.58,
"NanoSciFact_cosine_accuracy@3": 0.68,
"NanoSciFact_cosine_accuracy@5": 0.7,
"NanoSciFact_cosine_accuracy@10": 0.72,
"NanoSciFact_cosine_precision@1": 0.58,
"NanoSciFact_cosine_precision@3": 0.2533333333333333,
"NanoSciFact_cosine_precision@5": 0.156,
"NanoSciFact_cosine_precision@10": 0.08199999999999999,
"NanoSciFact_cosine_recall@1": 0.545,
"NanoSciFact_cosine_recall@3": 0.665,
"NanoSciFact_cosine_recall@5": 0.685,
"NanoSciFact_cosine_recall@10": 0.71,
"NanoSciFact_cosine_ndcg@10": 0.6523742480687815,
"NanoSciFact_cosine_mrr@10": 0.6375,
"NanoSciFact_cosine_map@100": 0.6370166989443306,
"NanoTouche2020_cosine_accuracy@1": 0.4489795918367347,
"NanoTouche2020_cosine_accuracy@3": 0.7755102040816326,
"NanoTouche2020_cosine_accuracy@5": 0.8979591836734694,
"NanoTouche2020_cosine_accuracy@10": 0.9795918367346939,
"NanoTouche2020_cosine_precision@1": 0.4489795918367347,
"NanoTouche2020_cosine_precision@3": 0.41496598639455773,
"NanoTouche2020_cosine_precision@5": 0.4326530612244897,
"NanoTouche2020_cosine_precision@10": 0.3591836734693878,
"NanoTouche2020_cosine_recall@1": 0.03398816288797225,
"NanoTouche2020_cosine_recall@3": 0.09117793391499442,
"NanoTouche2020_cosine_recall@5": 0.15321422858378142,
"NanoTouche2020_cosine_recall@10": 0.24000922572748823,
"NanoTouche2020_cosine_ndcg@10": 0.3959230964031327,
"NanoTouche2020_cosine_mrr@10": 0.6308309037900873,
"NanoTouche2020_cosine_map@100": 0.3023791135389433,
"NanoBEIR_mean_cosine_accuracy@1": 0.47453689167974883,
"NanoBEIR_mean_cosine_accuracy@3": 0.6458084772370486,
"NanoBEIR_mean_cosine_accuracy@5": 0.7059968602825746,
"NanoBEIR_mean_cosine_accuracy@10": 0.7830455259026687,
"NanoBEIR_mean_cosine_precision@1": 0.47453689167974883,
"NanoBEIR_mean_cosine_precision@3": 0.290894819466248,
"NanoBEIR_mean_cosine_precision@5": 0.22558869701726847,
"NanoBEIR_mean_cosine_precision@10": 0.15470643642072213,
"NanoBEIR_mean_cosine_recall@1": 0.2799399135628483,
"NanoBEIR_mean_cosine_recall@3": 0.42221492034192626,
"NanoBEIR_mean_cosine_recall@5": 0.4697485434104026,
"NanoBEIR_mean_cosine_recall@10": 0.536851077391949,
"NanoBEIR_mean_cosine_ndcg@10": 0.5060859975895767,
"NanoBEIR_mean_cosine_mrr@10": 0.5754430365552815,
"NanoBEIR_mean_cosine_map@100": 0.4381147218048991
},
"beir_touche2020": {
"BeIR-touche2020-subset-test_cosine_accuracy@1": 0.6530612244897959,
"BeIR-touche2020-subset-test_cosine_accuracy@3": 0.9591836734693877,
"BeIR-touche2020-subset-test_cosine_accuracy@5": 0.9591836734693877,
"BeIR-touche2020-subset-test_cosine_accuracy@10": 0.9795918367346939,
"BeIR-touche2020-subset-test_cosine_precision@1": 0.6530612244897959,
"BeIR-touche2020-subset-test_cosine_precision@3": 0.727891156462585,
"BeIR-touche2020-subset-test_cosine_precision@5": 0.6448979591836735,
"BeIR-touche2020-subset-test_cosine_precision@10": 0.5795918367346938,
"BeIR-touche2020-subset-test_cosine_recall@1": 0.01432104834093062,
"BeIR-touche2020-subset-test_cosine_recall@3": 0.048281100280382724,
"BeIR-touche2020-subset-test_cosine_recall@5": 0.07113270115683268,
"BeIR-touche2020-subset-test_cosine_recall@10": 0.1277462197359846,
"BeIR-touche2020-subset-test_cosine_ndcg@10": 0.6075766364842123,
"BeIR-touche2020-subset-test_cosine_mrr@10": 0.7950680272108844,
"BeIR-touche2020-subset-test_cosine_map@100": 0.25739036878474303
}
}