Update README.md
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README.md
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---
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library_name: transformers
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tags:
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- gte
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@@ -2168,7 +2170,7 @@ model-index:
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- type: mrr_at_1000
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value: 78.704
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- type: mrr_at_3
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value: 77
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- type: mrr_at_5
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value: 78.083
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- type: ndcg_at_1
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@@ -2202,7 +2204,7 @@ model-index:
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- type: recall_at_100
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value: 99.833
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- type: recall_at_1000
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value: 100
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- type: recall_at_3
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value: 86.506
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- type: recall_at_5
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@@ -2245,7 +2247,7 @@ model-index:
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- type: euclidean_precision
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value: 85.74181117533719
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- type: euclidean_recall
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value: 89
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- type: manhattan_accuracy
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value: 99.75445544554455
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- type: manhattan_ap
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@@ -2336,19 +2338,19 @@ model-index:
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- type: map_at_5
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value: 1.028
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- type: mrr_at_1
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value: 88
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- type: mrr_at_10
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value: 94
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- type: mrr_at_100
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value: 94
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| 2344 |
- type: mrr_at_1000
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-
value: 94
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- type: mrr_at_3
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| 2347 |
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value: 94
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| 2348 |
- type: mrr_at_5
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| 2349 |
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value: 94
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| 2350 |
- type: ndcg_at_1
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| 2351 |
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value: 82
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- type: ndcg_at_10
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value: 77.48899999999999
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| 2354 |
- type: ndcg_at_100
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@@ -2360,7 +2362,7 @@ model-index:
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- type: ndcg_at_5
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value: 80.449
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- type: precision_at_1
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value: 88
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| 2364 |
- type: precision_at_10
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value: 82.19999999999999
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| 2366 |
- type: precision_at_100
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@@ -2368,7 +2370,7 @@ model-index:
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| 2368 |
- type: precision_at_1000
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value: 23.684
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- type: precision_at_3
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value: 88
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- type: precision_at_5
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value: 85.6
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- type: recall_at_1
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@@ -2739,4 +2741,4 @@ The gte evaluation setting: `mteb==1.2.0, fp16 auto mix precision, max_length=81
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**APA:**
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[More Information Needed]
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---
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datasets:
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- allenai/c4
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library_name: transformers
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tags:
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- gte
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| 2170 |
- type: mrr_at_1000
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value: 78.704
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| 2172 |
- type: mrr_at_3
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| 2173 |
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value: 77
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| 2174 |
- type: mrr_at_5
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value: 78.083
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| 2176 |
- type: ndcg_at_1
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| 2204 |
- type: recall_at_100
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value: 99.833
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| 2206 |
- type: recall_at_1000
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value: 100
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| 2208 |
- type: recall_at_3
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value: 86.506
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- type: recall_at_5
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| 2247 |
- type: euclidean_precision
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| 2248 |
value: 85.74181117533719
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| 2249 |
- type: euclidean_recall
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| 2250 |
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value: 89
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| 2251 |
- type: manhattan_accuracy
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value: 99.75445544554455
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| 2253 |
- type: manhattan_ap
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| 2338 |
- type: map_at_5
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value: 1.028
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- type: mrr_at_1
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value: 88
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| 2342 |
- type: mrr_at_10
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| 2343 |
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value: 94
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| 2344 |
- type: mrr_at_100
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| 2345 |
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value: 94
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| 2346 |
- type: mrr_at_1000
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| 2347 |
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value: 94
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| 2348 |
- type: mrr_at_3
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| 2349 |
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value: 94
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| 2350 |
- type: mrr_at_5
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| 2351 |
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value: 94
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| 2352 |
- type: ndcg_at_1
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| 2353 |
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value: 82
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| 2354 |
- type: ndcg_at_10
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value: 77.48899999999999
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| 2356 |
- type: ndcg_at_100
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| 2362 |
- type: ndcg_at_5
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| 2363 |
value: 80.449
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| 2364 |
- type: precision_at_1
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| 2365 |
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value: 88
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| 2366 |
- type: precision_at_10
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value: 82.19999999999999
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| 2368 |
- type: precision_at_100
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| 2370 |
- type: precision_at_1000
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| 2371 |
value: 23.684
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| 2372 |
- type: precision_at_3
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| 2373 |
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value: 88
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| 2374 |
- type: precision_at_5
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value: 85.6
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| 2376 |
- type: recall_at_1
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**APA:**
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+
[More Information Needed]
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