| 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 | |
| 1.0,34,0.37902227722772275,0.6070544554455446,0.661819306930693,0.719059405940594,0.37902227722772275,0.37902227722772275,0.20235148514851486,0.6070544554455446,0.1323638613861386,0.661819306930693,0.0719059405940594,0.719059405940594,0.5013101868222527,0.5546728174754348,0.5078663720617047 | |
| 2.0,68,0.5637376237623762,0.6574876237623762,0.6958539603960396,0.745049504950495,0.5637376237623762,0.5637376237623762,0.21916254125412538,0.6574876237623762,0.1391707920792079,0.6958539603960396,0.0745049504950495,0.745049504950495,0.621153666705955,0.6508362012533989,0.6276111030423622 | |
| 3.0,102,0.5779702970297029,0.6571782178217822,0.6967821782178217,0.7546410891089109,0.5779702970297029,0.5779702970297029,0.21905940594059406,0.6571782178217822,0.13935643564356434,0.6967821782178217,0.07546410891089109,0.7546410891089109,0.6299013829954415,0.6594783681667493,0.6359739450990423 | |
| 4.0,136,0.5764232673267327,0.6596534653465347,0.698019801980198,0.7568069306930693,0.5764232673267327,0.5764232673267327,0.21988448844884487,0.6596534653465347,0.1396039603960396,0.698019801980198,0.07568069306930691,0.7568069306930693,0.6308043081093817,0.6607288131349602,0.636912211423935 | |
| 5.0,170,0.5770420792079208,0.6593440594059405,0.6989480198019802,0.755569306930693,0.5770420792079208,0.5770420792079208,0.2197813531353135,0.6593440594059405,0.13978960396039602,0.6989480198019802,0.0755569306930693,0.755569306930693,0.6308034486484356,0.6604592325341517,0.6369596779835216 | |