| 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 | |
| 1.0,34,0.4498762376237624,0.6636757425742574,0.718440594059406,0.7766089108910891,0.4498762376237624,0.4498762376237624,0.22122524752475248,0.6636757425742574,0.14368811881188118,0.718440594059406,0.0776608910891089,0.7766089108910891,0.5655928316045877,0.6171865359941737,0.5711039325345794 | |
| 2.0,68,0.5974628712871287,0.6943069306930693,0.7351485148514851,0.7852722772277227,0.5974628712871287,0.5974628712871287,0.23143564356435645,0.6943069306930693,0.14702970297029702,0.7351485148514851,0.07852722772277228,0.7852722772277227,0.656933517012415,0.6877247613199143,0.6630474427615004 | |
| 3.0,102,0.6079826732673267,0.6958539603960396,0.7422648514851485,0.7899133663366337,0.6079826732673267,0.6079826732673267,0.2319513201320132,0.6958539603960396,0.1484529702970297,0.7422648514851485,0.07899133663366337,0.7899133663366337,0.6637049642464244,0.6938587875325103,0.6694799794360519 | |
| 4.0,136,0.6061262376237624,0.7008044554455446,0.7419554455445545,0.7939356435643564,0.6061262376237624,0.6061262376237624,0.23360148514851486,0.7008044554455446,0.14839108910891088,0.7419554455445545,0.07939356435643563,0.7939356435643564,0.6643359313609929,0.6953383284750302,0.669943476319759 | |
| 5.0,170,0.6073638613861386,0.7004950495049505,0.7419554455445545,0.7920792079207921,0.6073638613861386,0.6073638613861386,0.2334983498349835,0.7004950495049505,0.1483910891089109,0.7419554455445545,0.0792079207920792,0.7920792079207921,0.6648522218293257,0.6953201867128341,0.6707577379319669 | |