End of training

Information-Retrieval_evaluation_results.csv

@@ -0,0 +1,2 @@
+epoch,steps,cosine-Accuracy@1,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@1,cosine-MRR@5,cosine-MRR@10,cosine-NDCG@1,cosine-NDCG@5,cosine-NDCG@10,cosine-MAP@100
+-1,-1,0.99,1.0,1.0,0.99,0.99,0.3333333333333334,1.0,0.19999999999999996,1.0,0.09999999999999998,1.0,0.99,0.995,0.995,0.99,0.9963092975357145,0.9963092975357145,0.995

README.md

@@ -627,6 +627,7 @@ You can finetune this model on your own dataset.
 | **3.0** | **21** | **0.0312**      | **0.9963**     |
 | 4.0     | 28     | 0.0312          | 0.9963         |
 | 5.0     | 35     | 0.0313          | 0.9963         |
+| -1      | -1     | -               | 0.9963         |
 
 * The bold row denotes the saved checkpoint.