| 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 | |
| 1.0,19,0.5214489990467112,0.7264061010486177,0.7893231649189705,0.8636796949475691,0.5214489990467112,0.5214489990467112,0.2421353670162059,0.7264061010486177,0.15786463298379408,0.7893231649189705,0.0863679694947569,0.8636796949475691,0.6369528046363133,0.6919097155042885,0.6418431352074736 | |
| 2.0,38,0.5471877979027645,0.7407054337464252,0.8017159199237369,0.8722592945662536,0.5471877979027645,0.5471877979027645,0.2469018112488084,0.7407054337464252,0.16034318398474737,0.8017159199237369,0.08722592945662536,0.8722592945662536,0.6576811627097615,0.7097194683573752,0.6622003643008398 | |
| 3.0,57,0.5529075309818875,0.7416587225929456,0.8093422306959008,0.8741658722592945,0.5529075309818875,0.5529075309818875,0.24721957419764853,0.7416587225929456,0.1618684461391802,0.8093422306959008,0.08741658722592945,0.8741658722592945,0.6608247461679306,0.7125237648315317,0.6652525185575742 | |
| 3.8135593220338984,72,0.551954242135367,0.7416587225929456,0.8093422306959008,0.8732125834127741,0.551954242135367,0.551954242135367,0.24721957419764853,0.7416587225929456,0.1618684461391802,0.8093422306959008,0.08732125834127741,0.8732125834127741,0.660333348464903,0.7119774118711802,0.6648689218069684 | |