| epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100 | |
| 1.0,19,0.5452812202097236,0.7416587225929456,0.8074356530028599,0.8760724499523356,0.5452812202097236,0.5452812202097236,0.24721957419764853,0.7416587225929456,0.161487130600572,0.8074356530028599,0.08760724499523356,0.8760724499523356,0.6559349796480402,0.7092688022688834,0.6605612754102786 | |
| 2.0,38,0.567206863679695,0.7607244995233555,0.8236415633937083,0.886558627264061,0.567206863679695,0.567206863679695,0.25357483317445184,0.7607244995233555,0.16472831267874166,0.8236415633937083,0.0886558627264061,0.886558627264061,0.6746886679679823,0.7260517487265687,0.6790430112153837 | |
| 3.0,57,0.567206863679695,0.7616777883698761,0.8265014299332698,0.8903717826501429,0.567206863679695,0.567206863679695,0.253892596123292,0.7616777883698761,0.16530028598665394,0.8265014299332698,0.08903717826501431,0.8903717826501429,0.6752920392815543,0.7273531110418706,0.6794753898354032 | |
| 3.8135593220338984,72,0.5662535748331744,0.7626310772163966,0.8265014299332698,0.8913250714966635,0.5662535748331744,0.5662535748331744,0.25421035907213213,0.7626310772163966,0.16530028598665394,0.8265014299332698,0.08913250714966635,0.8913250714966635,0.6752375656331816,0.7275517192718437,0.6793502491099088 | |