| 2023-06-18 22:04:09 - Load pretrained SentenceTransformer: msmarco-bert-base-dot-v5 | |
| 2023-06-18 22:04:11 - Use pytorch device: cuda | |
| 2023-06-18 22:04:11 - Train Corpus Size: 150000 | |
| 2023-06-18 22:04:11 - Train Query Size: 105000 | |
| 2023-06-18 22:04:11 - Train qrels Size: 105000 | |
| 2023-06-18 22:04:11 - Information Retrieval Evaluation on Standard_Title dataset: | |
| 2023-06-18 22:30:00 - Queries: 22500 | |
| 2023-06-18 22:30:00 - Corpus: 150000 | |
| 2023-06-18 22:30:19 - Score-Function: dot_score | |
| 2023-06-18 22:30:19 - Accuracy@1: 58.27% | |
| 2023-06-18 22:30:19 - Accuracy@3: 71.01% | |
| 2023-06-18 22:30:19 - Accuracy@5: 75.05% | |
| 2023-06-18 22:30:19 - Accuracy@10: 79.98% | |
| 2023-06-18 22:30:19 - Accuracy@100: 91.04% | |
| 2023-06-18 22:30:19 - Precision@1: 58.27% | |
| 2023-06-18 22:30:19 - Precision@3: 23.67% | |
| 2023-06-18 22:30:19 - Precision@5: 15.01% | |
| 2023-06-18 22:30:19 - Precision@10: 8.00% | |
| 2023-06-18 22:30:19 - Precision@100: 0.91% | |
| 2023-06-18 22:30:19 - Recall@1: 58.27% | |
| 2023-06-18 22:30:19 - Recall@3: 71.01% | |
| 2023-06-18 22:30:19 - Recall@5: 75.05% | |
| 2023-06-18 22:30:19 - Recall@10: 79.98% | |
| 2023-06-18 22:30:19 - Recall@100: 91.04% | |
| 2023-06-18 22:30:19 - MRR@1: 0.5827 | |
| 2023-06-18 22:30:19 - MRR@10: 0.6557 | |
| 2023-06-18 22:30:19 - MRR@100: 0.6604 | |
| 2023-06-18 22:30:19 - NDCG@1: 0.5827 | |
| 2023-06-18 22:30:19 - NDCG@10: 0.6905 | |
| 2023-06-18 22:30:19 - NDCG@100: 0.7139 | |
| 2023-06-18 22:30:19 - MAP@1: 0.5827 | |
| 2023-06-18 22:30:19 - MAP@10: 0.6557 | |
| 2023-06-18 22:30:19 - MAP@100: 0.6604 | |