| 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,-1,0.58,0.82,0.84,0.88,0.58,0.5206666666666666,0.32,0.7519999999999999,0.204,0.7826666666666666,0.11199999999999999,0.8426666666666668,0.6984444444444443,0.7234901243687714,0.6843854607082449 | |
| -1,-1,0.64,0.74,0.76,0.8,0.64,0.5539999999999999,0.2866666666666667,0.6753333333333333,0.19199999999999995,0.716,0.10599999999999998,0.7793333333333333,0.6965,0.7012017830718481,0.6704263695106392 | |
| -1,-1,0.34,0.42,0.5,0.54,0.34,0.30333333333333334,0.1533333333333333,0.3866666666666667,0.11599999999999999,0.46399999999999997,0.068,0.5153333333333333,0.39988888888888885,0.41742602478464447,0.3849072837395894 | |
| -1,-1,0.7,0.86,0.88,0.9,0.7,0.6306666666666666,0.3399999999999999,0.8046666666666666,0.22399999999999998,0.8486666666666668,0.12399999999999999,0.8859999999999999,0.785,0.806433975790637,0.7775116997438978 | |
| -1,-1,0.8,0.96,0.96,0.98,0.8,0.7140000000000001,0.38666666666666655,0.912,0.24799999999999997,0.9293333333333333,0.13399999999999998,0.9726666666666667,0.8695238095238095,0.8944425539741644,0.8647180205415499 | |
| -1,-1,0.82,0.92,0.94,0.98,0.82,0.7339999999999999,0.37999999999999995,0.882,0.24799999999999997,0.9193333333333333,0.13399999999999998,0.9726666666666667,0.8807142857142857,0.9012986402743834,0.8746539604539605 | |
| -1,-1,0.6,0.7,0.74,0.84,0.6,0.5433333333333333,0.2733333333333334,0.674,0.17999999999999997,0.708,0.10399999999999998,0.8053333333333333,0.6630238095238096,0.6910237122615918,0.6556498327329501 | |