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Update README.md

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  1. README.md +25 -23
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: apache-2.0
3
  tags:
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  - mteb
 
 
5
  model-index:
6
  - name: base-lc
7
  results:
@@ -1843,47 +1845,47 @@ model-index:
1843
  - type: cos_sim_accuracy
1844
  value: 99.89816700610999
1845
  - type: cos_sim_ap
1846
- value: 100.0
1847
  - type: cos_sim_f1
1848
  value: 99.9490575649516
1849
  - type: cos_sim_precision
1850
- value: 100.0
1851
  - type: cos_sim_recall
1852
  value: 99.89816700610999
1853
  - type: dot_accuracy
1854
  value: 99.89816700610999
1855
  - type: dot_ap
1856
- value: 100.0
1857
  - type: dot_f1
1858
  value: 99.9490575649516
1859
  - type: dot_precision
1860
- value: 100.0
1861
  - type: dot_recall
1862
  value: 99.89816700610999
1863
  - type: euclidean_accuracy
1864
  value: 99.89816700610999
1865
  - type: euclidean_ap
1866
- value: 100.0
1867
  - type: euclidean_f1
1868
  value: 99.9490575649516
1869
  - type: euclidean_precision
1870
- value: 100.0
1871
  - type: euclidean_recall
1872
  value: 99.89816700610999
1873
  - type: manhattan_accuracy
1874
  value: 99.89816700610999
1875
  - type: manhattan_ap
1876
- value: 100.0
1877
  - type: manhattan_f1
1878
  value: 99.9490575649516
1879
  - type: manhattan_precision
1880
- value: 100.0
1881
  - type: manhattan_recall
1882
  value: 99.89816700610999
1883
  - type: max_accuracy
1884
  value: 99.89816700610999
1885
  - type: max_ap
1886
- value: 100.0
1887
  - type: max_f1
1888
  value: 99.9490575649516
1889
  - task:
@@ -1904,7 +1906,7 @@ model-index:
1904
  - type: cos_sim_precision
1905
  value: 45.46365914786967
1906
  - type: cos_sim_recall
1907
- value: 100.0
1908
  - type: dot_accuracy
1909
  value: 61.75000000000001
1910
  - type: dot_ap
@@ -1914,7 +1916,7 @@ model-index:
1914
  - type: dot_precision
1915
  value: 45.46365914786967
1916
  - type: dot_recall
1917
- value: 100.0
1918
  - type: euclidean_accuracy
1919
  value: 61.75000000000001
1920
  - type: euclidean_ap
@@ -1924,7 +1926,7 @@ model-index:
1924
  - type: euclidean_precision
1925
  value: 45.46365914786967
1926
  - type: euclidean_recall
1927
- value: 100.0
1928
  - type: manhattan_accuracy
1929
  value: 61.75000000000001
1930
  - type: manhattan_ap
@@ -1934,7 +1936,7 @@ model-index:
1934
  - type: manhattan_precision
1935
  value: 45.46365914786967
1936
  - type: manhattan_recall
1937
- value: 100.0
1938
  - type: max_accuracy
1939
  value: 61.75000000000001
1940
  - type: max_ap
@@ -2346,7 +2348,7 @@ model-index:
2346
  - type: map_at_5
2347
  value: 64.354
2348
  - type: mrr_at_1
2349
- value: 59.0
2350
  - type: mrr_at_10
2351
  value: 66.74900000000001
2352
  - type: mrr_at_100
@@ -2358,7 +2360,7 @@ model-index:
2358
  - type: mrr_at_5
2359
  value: 65.956
2360
  - type: ndcg_at_1
2361
- value: 59.0
2362
  - type: ndcg_at_10
2363
  value: 69.95599999999999
2364
  - type: ndcg_at_100
@@ -2370,7 +2372,7 @@ model-index:
2370
  - type: ndcg_at_5
2371
  value: 67.633
2372
  - type: precision_at_1
2373
- value: 59.0
2374
  - type: precision_at_10
2375
  value: 9.333
2376
  - type: precision_at_100
@@ -2378,7 +2380,7 @@ model-index:
2378
  - type: precision_at_1000
2379
  value: 0.11199999999999999
2380
  - type: precision_at_3
2381
- value: 26.0
2382
  - type: precision_at_5
2383
  value: 16.866999999999997
2384
  - type: recall_at_1
@@ -2388,7 +2390,7 @@ model-index:
2388
  - type: recall_at_100
2389
  value: 92.767
2390
  - type: recall_at_1000
2391
- value: 99.0
2392
  - type: recall_at_3
2393
  value: 70.95
2394
  - type: recall_at_5
@@ -2522,7 +2524,7 @@ model-index:
2522
  - type: map_at_5
2523
  value: 1.11
2524
  - type: mrr_at_1
2525
- value: 96.0
2526
  - type: mrr_at_10
2527
  value: 97.167
2528
  - type: mrr_at_100
@@ -2534,7 +2536,7 @@ model-index:
2534
  - type: mrr_at_5
2535
  value: 97.167
2536
  - type: ndcg_at_1
2537
- value: 91.0
2538
  - type: ndcg_at_10
2539
  value: 81.69800000000001
2540
  - type: ndcg_at_100
@@ -2546,9 +2548,9 @@ model-index:
2546
  - type: ndcg_at_5
2547
  value: 84.286
2548
  - type: precision_at_1
2549
- value: 96.0
2550
  - type: precision_at_10
2551
- value: 87.0
2552
  - type: precision_at_100
2553
  value: 64.86
2554
  - type: precision_at_1000
@@ -2798,4 +2800,4 @@ model-index:
2798
  metrics:
2799
  - type: v_measure
2800
  value: 85.63474850264893
2801
- ---
 
2
  license: apache-2.0
3
  tags:
4
  - mteb
5
+ - arctic
6
+ - arctic-embed
7
  model-index:
8
  - name: base-lc
9
  results:
 
1845
  - type: cos_sim_accuracy
1846
  value: 99.89816700610999
1847
  - type: cos_sim_ap
1848
+ value: 100
1849
  - type: cos_sim_f1
1850
  value: 99.9490575649516
1851
  - type: cos_sim_precision
1852
+ value: 100
1853
  - type: cos_sim_recall
1854
  value: 99.89816700610999
1855
  - type: dot_accuracy
1856
  value: 99.89816700610999
1857
  - type: dot_ap
1858
+ value: 100
1859
  - type: dot_f1
1860
  value: 99.9490575649516
1861
  - type: dot_precision
1862
+ value: 100
1863
  - type: dot_recall
1864
  value: 99.89816700610999
1865
  - type: euclidean_accuracy
1866
  value: 99.89816700610999
1867
  - type: euclidean_ap
1868
+ value: 100
1869
  - type: euclidean_f1
1870
  value: 99.9490575649516
1871
  - type: euclidean_precision
1872
+ value: 100
1873
  - type: euclidean_recall
1874
  value: 99.89816700610999
1875
  - type: manhattan_accuracy
1876
  value: 99.89816700610999
1877
  - type: manhattan_ap
1878
+ value: 100
1879
  - type: manhattan_f1
1880
  value: 99.9490575649516
1881
  - type: manhattan_precision
1882
+ value: 100
1883
  - type: manhattan_recall
1884
  value: 99.89816700610999
1885
  - type: max_accuracy
1886
  value: 99.89816700610999
1887
  - type: max_ap
1888
+ value: 100
1889
  - type: max_f1
1890
  value: 99.9490575649516
1891
  - task:
 
1906
  - type: cos_sim_precision
1907
  value: 45.46365914786967
1908
  - type: cos_sim_recall
1909
+ value: 100
1910
  - type: dot_accuracy
1911
  value: 61.75000000000001
1912
  - type: dot_ap
 
1916
  - type: dot_precision
1917
  value: 45.46365914786967
1918
  - type: dot_recall
1919
+ value: 100
1920
  - type: euclidean_accuracy
1921
  value: 61.75000000000001
1922
  - type: euclidean_ap
 
1926
  - type: euclidean_precision
1927
  value: 45.46365914786967
1928
  - type: euclidean_recall
1929
+ value: 100
1930
  - type: manhattan_accuracy
1931
  value: 61.75000000000001
1932
  - type: manhattan_ap
 
1936
  - type: manhattan_precision
1937
  value: 45.46365914786967
1938
  - type: manhattan_recall
1939
+ value: 100
1940
  - type: max_accuracy
1941
  value: 61.75000000000001
1942
  - type: max_ap
 
2348
  - type: map_at_5
2349
  value: 64.354
2350
  - type: mrr_at_1
2351
+ value: 59
2352
  - type: mrr_at_10
2353
  value: 66.74900000000001
2354
  - type: mrr_at_100
 
2360
  - type: mrr_at_5
2361
  value: 65.956
2362
  - type: ndcg_at_1
2363
+ value: 59
2364
  - type: ndcg_at_10
2365
  value: 69.95599999999999
2366
  - type: ndcg_at_100
 
2372
  - type: ndcg_at_5
2373
  value: 67.633
2374
  - type: precision_at_1
2375
+ value: 59
2376
  - type: precision_at_10
2377
  value: 9.333
2378
  - type: precision_at_100
 
2380
  - type: precision_at_1000
2381
  value: 0.11199999999999999
2382
  - type: precision_at_3
2383
+ value: 26
2384
  - type: precision_at_5
2385
  value: 16.866999999999997
2386
  - type: recall_at_1
 
2390
  - type: recall_at_100
2391
  value: 92.767
2392
  - type: recall_at_1000
2393
+ value: 99
2394
  - type: recall_at_3
2395
  value: 70.95
2396
  - type: recall_at_5
 
2524
  - type: map_at_5
2525
  value: 1.11
2526
  - type: mrr_at_1
2527
+ value: 96
2528
  - type: mrr_at_10
2529
  value: 97.167
2530
  - type: mrr_at_100
 
2536
  - type: mrr_at_5
2537
  value: 97.167
2538
  - type: ndcg_at_1
2539
+ value: 91
2540
  - type: ndcg_at_10
2541
  value: 81.69800000000001
2542
  - type: ndcg_at_100
 
2548
  - type: ndcg_at_5
2549
  value: 84.286
2550
  - type: precision_at_1
2551
+ value: 96
2552
  - type: precision_at_10
2553
+ value: 87
2554
  - type: precision_at_100
2555
  value: 64.86
2556
  - type: precision_at_1000
 
2800
  metrics:
2801
  - type: v_measure
2802
  value: 85.63474850264893
2803
+ ---