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README.md
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@@ -1229,7 +1229,7 @@ model-index:
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- type: precision_at_3
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value: 49.75
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- type: precision_at_5
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value: 42
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- type: recall_at_1
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value: 9.35
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- type: recall_at_10
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- type: recall_at_100
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value: 96.267
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- type: recall_at_1000
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value: 99
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- type: recall_at_3
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value: 74.656
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- type: recall_at_5
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- type: map_at_5
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value: 0.968
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- type: mrr_at_1
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value: 84
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- type: mrr_at_10
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value: 91.333
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- type: mrr_at_100
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- type: mrr_at_5
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value: 91.333
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- type: ndcg_at_1
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value: 75
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- type: ndcg_at_10
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value: 69.596
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 73.175
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- type: precision_at_1
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value: 84
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- type: precision_at_10
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value: 74
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- type: precision_at_100
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value: 53.2
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- type: precision_at_1000
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value: 86.63028865482376
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- type: max_f1
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value: 79.18166458532285
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---
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# E5-base-v2
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@@ -2668,5 +2670,4 @@ If you find our paper or models helpful, please consider cite as follows:
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## Limitations
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This model only works for English texts. Long texts will be truncated to at most 512 tokens.
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-
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| 1229 |
- type: precision_at_3
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| 1230 |
value: 49.75
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| 1231 |
- type: precision_at_5
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| 1232 |
+
value: 42
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| 1233 |
- type: recall_at_1
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| 1234 |
value: 9.35
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| 1235 |
- type: recall_at_10
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| 2197 |
- type: recall_at_100
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| 2198 |
value: 96.267
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| 2199 |
- type: recall_at_1000
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| 2200 |
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value: 99
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| 2201 |
- type: recall_at_3
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| 2202 |
value: 74.656
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| 2203 |
- type: recall_at_5
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| 2331 |
- type: map_at_5
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| 2332 |
value: 0.968
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| 2333 |
- type: mrr_at_1
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| 2334 |
+
value: 84
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| 2335 |
- type: mrr_at_10
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| 2336 |
value: 91.333
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| 2337 |
- type: mrr_at_100
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| 2343 |
- type: mrr_at_5
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| 2344 |
value: 91.333
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| 2345 |
- type: ndcg_at_1
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| 2346 |
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value: 75
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| 2347 |
- type: ndcg_at_10
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| 2348 |
value: 69.596
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| 2349 |
- type: ndcg_at_100
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| 2355 |
- type: ndcg_at_5
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| 2356 |
value: 73.175
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| 2357 |
- type: precision_at_1
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| 2358 |
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value: 84
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| 2359 |
- type: precision_at_10
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| 2360 |
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value: 74
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- type: precision_at_100
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| 2362 |
value: 53.2
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| 2363 |
- type: precision_at_1000
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value: 86.63028865482376
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- type: max_f1
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value: 79.18166458532285
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language:
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- en
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---
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# E5-base-v2
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## Limitations
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This model only works for English texts. Long texts will be truncated to at most 512 tokens.
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