| 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 | |
| 1.0,19,0.49285033365109626,0.684461391801716,0.7578646329837941,0.8274547187797903,0.49285033365109626,0.49285033365109626,0.2281537972672386,0.684461391801716,0.1515729265967588,0.7578646329837941,0.08274547187797902,0.8274547187797903,0.6032237807738285,0.6575406372744073,0.6088952628032813 | |
| 2.0,38,0.5138226882745471,0.7016205910390848,0.7645376549094376,0.8341277407054337,0.5138226882745471,0.5138226882745471,0.2338735303463616,0.7016205910390848,0.1529075309818875,0.7645376549094376,0.08341277407054337,0.8341277407054337,0.618670464690484,0.6707950308444217,0.6242158272303533 | |
| 3.0,57,0.5166825548141086,0.7054337464251669,0.7673975214489991,0.8369876072449952,0.5166825548141086,0.5166825548141086,0.23514458214172226,0.7054337464251669,0.1534795042897998,0.7673975214489991,0.08369876072449953,0.8369876072449952,0.6240088822309986,0.6755921916053389,0.629350282837756 | |
| 3.8135593220338984,72,0.5166825548141086,0.7044804575786463,0.7683508102955195,0.8369876072449952,0.5166825548141086,0.5166825548141086,0.2348268191928821,0.7044804575786463,0.1536701620591039,0.7683508102955195,0.08369876072449953,0.8369876072449952,0.6239059875618503,0.6755211859192654,0.6292715088820261 | |