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README.md
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---
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pipeline_tag: sentence-similarity
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tags:
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-
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-
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-
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- sentence-similarity
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datasets:
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-
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language: en
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license: apache-2.0
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model-index:
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- type: map_at_5
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value: 60.239
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- type: mrr_at_1
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-
value: 53
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- type: mrr_at_10
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value: 65.678
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- type: mrr_at_100
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@@ -400,7 +399,7 @@ model-index:
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- type: mrr_at_5
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value: 64.75800000000001
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- type: ndcg_at_1
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-
value: 53
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- type: ndcg_at_10
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value: 67.587
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- type: ndcg_at_100
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@@ -412,7 +411,7 @@ model-index:
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- type: ndcg_at_5
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value: 65.351
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- type: precision_at_1
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value: 53
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- type: precision_at_10
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value: 9.067
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- type: precision_at_100
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@@ -1341,7 +1340,7 @@ model-index:
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- type: dot_precision
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value: 42.003231017770595
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- type: dot_recall
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value: 52
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- type: euclidean_accuracy
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value: 99.56930693069307
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- type: euclidean_ap
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@@ -1442,7 +1441,7 @@ model-index:
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| 1442 |
- type: map_at_5
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value: 0.776
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- type: mrr_at_1
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-
value: 68
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- type: mrr_at_10
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value: 79.783
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- type: mrr_at_100
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@@ -1454,7 +1453,7 @@ model-index:
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| 1454 |
- type: mrr_at_5
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value: 79.533
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| 1456 |
- type: ndcg_at_1
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-
value: 62
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- type: ndcg_at_10
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value: 54.635
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- type: ndcg_at_100
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@@ -1466,7 +1465,7 @@ model-index:
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| 1466 |
- type: ndcg_at_5
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value: 58.762
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- type: precision_at_1
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value: 68
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- type: precision_at_10
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value: 58.8
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- type: precision_at_100
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@@ -1474,7 +1473,7 @@ model-index:
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- type: precision_at_1000
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value: 16.938
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- type: precision_at_3
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value: 64
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- type: precision_at_5
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value: 64.8
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- type: recall_at_1
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---
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pipeline_tag: sentence-similarity
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tags:
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- finetuner
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- feature-extraction
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- sentence-similarity
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datasets:
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- jinaai/negation-dataset
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language: en
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license: apache-2.0
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model-index:
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| 387 |
- type: map_at_5
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| 388 |
value: 60.239
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| 389 |
- type: mrr_at_1
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| 390 |
+
value: 53
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| 391 |
- type: mrr_at_10
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| 392 |
value: 65.678
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| 393 |
- type: mrr_at_100
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| 399 |
- type: mrr_at_5
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value: 64.75800000000001
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| 401 |
- type: ndcg_at_1
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| 402 |
+
value: 53
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- type: ndcg_at_10
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value: 67.587
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| 405 |
- type: ndcg_at_100
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| 411 |
- type: ndcg_at_5
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value: 65.351
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| 413 |
- type: precision_at_1
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| 414 |
+
value: 53
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- type: precision_at_10
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value: 9.067
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- type: precision_at_100
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- type: dot_precision
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value: 42.003231017770595
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| 1342 |
- type: dot_recall
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value: 52
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| 1344 |
- type: euclidean_accuracy
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value: 99.56930693069307
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| 1346 |
- type: euclidean_ap
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| 1441 |
- type: map_at_5
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| 1442 |
value: 0.776
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| 1443 |
- type: mrr_at_1
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| 1444 |
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value: 68
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| 1445 |
- type: mrr_at_10
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| 1446 |
value: 79.783
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| 1447 |
- type: mrr_at_100
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| 1453 |
- type: mrr_at_5
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| 1454 |
value: 79.533
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| 1455 |
- type: ndcg_at_1
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| 1456 |
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value: 62
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| 1457 |
- type: ndcg_at_10
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| 1458 |
value: 54.635
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| 1459 |
- type: ndcg_at_100
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| 1465 |
- type: ndcg_at_5
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| 1466 |
value: 58.762
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| 1467 |
- type: precision_at_1
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| 1468 |
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value: 68
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| 1469 |
- type: precision_at_10
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value: 58.8
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| 1471 |
- type: precision_at_100
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| 1473 |
- type: precision_at_1000
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value: 16.938
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| 1475 |
- type: precision_at_3
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| 1476 |
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value: 64
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| 1477 |
- type: precision_at_5
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value: 64.8
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| 1479 |
- type: recall_at_1
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