intfloat commited on
Commit
5530978
1 Parent(s): 36b9d53

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +114 -114
README.md CHANGED
@@ -1373,7 +1373,7 @@ model-index:
1373
  - type: map_at_5
1374
  value: 15.716
1375
  - type: mrr_at_1
1376
- value: 66.0
1377
  - type: mrr_at_10
1378
  value: 74.263
1379
  - type: mrr_at_100
@@ -1397,7 +1397,7 @@ model-index:
1397
  - type: ndcg_at_5
1398
  value: 42.187000000000005
1399
  - type: precision_at_1
1400
- value: 66.0
1401
  - type: precision_at_10
1402
  value: 31.75
1403
  - type: precision_at_100
@@ -4506,7 +4506,7 @@ model-index:
4506
  - type: map_at_5
4507
  value: 0.915
4508
  - type: mrr_at_1
4509
- value: 80.0
4510
  - type: mrr_at_10
4511
  value: 87.167
4512
  - type: mrr_at_100
@@ -4518,7 +4518,7 @@ model-index:
4518
  - type: mrr_at_5
4519
  value: 87.167
4520
  - type: ndcg_at_1
4521
- value: 76.0
4522
  - type: ndcg_at_10
4523
  value: 69.757
4524
  - type: ndcg_at_100
@@ -4530,9 +4530,9 @@ model-index:
4530
  - type: ndcg_at_5
4531
  value: 72.225
4532
  - type: precision_at_1
4533
- value: 80.0
4534
  - type: precision_at_10
4535
- value: 75.0
4536
  - type: precision_at_100
4537
  value: 53.959999999999994
4538
  - type: precision_at_1000
@@ -4540,7 +4540,7 @@ model-index:
4540
  - type: precision_at_3
4541
  value: 76.667
4542
  - type: precision_at_5
4543
- value: 78.0
4544
  - type: recall_at_1
4545
  value: 0.21
4546
  - type: recall_at_10
@@ -4801,13 +4801,13 @@ model-index:
4801
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
4802
  metrics:
4803
  - type: accuracy
4804
- value: 74.0
4805
  - type: f1
4806
  value: 70.51022222222223
4807
  - type: precision
4808
  value: 69.29673599347512
4809
  - type: recall
4810
- value: 74.0
4811
  - task:
4812
  type: BitextMining
4813
  dataset:
@@ -5005,13 +5005,13 @@ model-index:
5005
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5006
  metrics:
5007
  - type: accuracy
5008
- value: 87.0
5009
  - type: f1
5010
  value: 84.32412698412699
5011
  - type: precision
5012
  value: 83.25527777777778
5013
  - type: recall
5014
- value: 87.0
5015
  - task:
5016
  type: BitextMining
5017
  dataset:
@@ -5311,13 +5311,13 @@ model-index:
5311
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5312
  metrics:
5313
  - type: accuracy
5314
- value: 94.0
5315
  - type: f1
5316
  value: 92.45333333333333
5317
  - type: precision
5318
  value: 91.79166666666667
5319
  - type: recall
5320
- value: 94.0
5321
  - task:
5322
  type: BitextMining
5323
  dataset:
@@ -5430,13 +5430,13 @@ model-index:
5430
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5431
  metrics:
5432
  - type: accuracy
5433
- value: 85.0
5434
  - type: f1
5435
  value: 81.04666666666667
5436
  - type: precision
5437
  value: 79.25
5438
  - type: recall
5439
- value: 85.0
5440
  - task:
5441
  type: BitextMining
5442
  dataset:
@@ -5566,13 +5566,13 @@ model-index:
5566
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5567
  metrics:
5568
  - type: accuracy
5569
- value: 96.0
5570
  - type: f1
5571
  value: 94.82333333333334
5572
  - type: precision
5573
  value: 94.27833333333334
5574
  - type: recall
5575
- value: 96.0
5576
  - task:
5577
  type: BitextMining
5578
  dataset:
@@ -6163,7 +6163,7 @@ model-index:
6163
  - type: accuracy
6164
  value: 94.6
6165
  - type: f1
6166
- value: 93.0
6167
  - type: precision
6168
  value: 92.23333333333333
6169
  - type: recall
@@ -6676,100 +6676,101 @@ model-index:
6676
  - type: max_f1
6677
  value: 77.87816307403935
6678
  language:
6679
- - multilingual
6680
- - af
6681
- - am
6682
- - ar
6683
- - as
6684
- - az
6685
- - be
6686
- - bg
6687
- - bn
6688
- - br
6689
- - bs
6690
- - ca
6691
- - cs
6692
- - cy
6693
- - da
6694
- - de
6695
- - el
6696
- - en
6697
- - eo
6698
- - es
6699
- - et
6700
- - eu
6701
- - fa
6702
- - fi
6703
- - fr
6704
- - fy
6705
- - ga
6706
- - gd
6707
- - gl
6708
- - gu
6709
- - ha
6710
- - he
6711
- - hi
6712
- - hr
6713
- - hu
6714
- - hy
6715
- - id
6716
- - is
6717
- - it
6718
- - ja
6719
- - jv
6720
- - ka
6721
- - kk
6722
- - km
6723
- - kn
6724
- - ko
6725
- - ku
6726
- - ky
6727
- - la
6728
- - lo
6729
- - lt
6730
- - lv
6731
- - mg
6732
- - mk
6733
- - ml
6734
- - mn
6735
- - mr
6736
- - ms
6737
- - my
6738
- - ne
6739
- - nl
6740
- - 'no'
6741
- - om
6742
- - or
6743
- - pa
6744
- - pl
6745
- - ps
6746
- - pt
6747
- - ro
6748
- - ru
6749
- - sa
6750
- - sd
6751
- - si
6752
- - sk
6753
- - sl
6754
- - so
6755
- - sq
6756
- - sr
6757
- - su
6758
- - sv
6759
- - sw
6760
- - ta
6761
- - te
6762
- - th
6763
- - tl
6764
- - tr
6765
- - ug
6766
- - uk
6767
- - ur
6768
- - uz
6769
- - vi
6770
- - xh
6771
- - yi
6772
- - zh
 
6773
  ---
6774
 
6775
  ## Multilingual-E5-base
@@ -6849,5 +6850,4 @@ If you find our paper or models helpful, please consider cite as follows:
6849
 
6850
  ## Limitations
6851
 
6852
- Long texts will be truncated to at most 512 tokens.
6853
-
 
1373
  - type: map_at_5
1374
  value: 15.716
1375
  - type: mrr_at_1
1376
+ value: 66
1377
  - type: mrr_at_10
1378
  value: 74.263
1379
  - type: mrr_at_100
 
1397
  - type: ndcg_at_5
1398
  value: 42.187000000000005
1399
  - type: precision_at_1
1400
+ value: 66
1401
  - type: precision_at_10
1402
  value: 31.75
1403
  - type: precision_at_100
 
4506
  - type: map_at_5
4507
  value: 0.915
4508
  - type: mrr_at_1
4509
+ value: 80
4510
  - type: mrr_at_10
4511
  value: 87.167
4512
  - type: mrr_at_100
 
4518
  - type: mrr_at_5
4519
  value: 87.167
4520
  - type: ndcg_at_1
4521
+ value: 76
4522
  - type: ndcg_at_10
4523
  value: 69.757
4524
  - type: ndcg_at_100
 
4530
  - type: ndcg_at_5
4531
  value: 72.225
4532
  - type: precision_at_1
4533
+ value: 80
4534
  - type: precision_at_10
4535
+ value: 75
4536
  - type: precision_at_100
4537
  value: 53.959999999999994
4538
  - type: precision_at_1000
 
4540
  - type: precision_at_3
4541
  value: 76.667
4542
  - type: precision_at_5
4543
+ value: 78
4544
  - type: recall_at_1
4545
  value: 0.21
4546
  - type: recall_at_10
 
4801
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
4802
  metrics:
4803
  - type: accuracy
4804
+ value: 74
4805
  - type: f1
4806
  value: 70.51022222222223
4807
  - type: precision
4808
  value: 69.29673599347512
4809
  - type: recall
4810
+ value: 74
4811
  - task:
4812
  type: BitextMining
4813
  dataset:
 
5005
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5006
  metrics:
5007
  - type: accuracy
5008
+ value: 87
5009
  - type: f1
5010
  value: 84.32412698412699
5011
  - type: precision
5012
  value: 83.25527777777778
5013
  - type: recall
5014
+ value: 87
5015
  - task:
5016
  type: BitextMining
5017
  dataset:
 
5311
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5312
  metrics:
5313
  - type: accuracy
5314
+ value: 94
5315
  - type: f1
5316
  value: 92.45333333333333
5317
  - type: precision
5318
  value: 91.79166666666667
5319
  - type: recall
5320
+ value: 94
5321
  - task:
5322
  type: BitextMining
5323
  dataset:
 
5430
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5431
  metrics:
5432
  - type: accuracy
5433
+ value: 85
5434
  - type: f1
5435
  value: 81.04666666666667
5436
  - type: precision
5437
  value: 79.25
5438
  - type: recall
5439
+ value: 85
5440
  - task:
5441
  type: BitextMining
5442
  dataset:
 
5566
  revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
5567
  metrics:
5568
  - type: accuracy
5569
+ value: 96
5570
  - type: f1
5571
  value: 94.82333333333334
5572
  - type: precision
5573
  value: 94.27833333333334
5574
  - type: recall
5575
+ value: 96
5576
  - task:
5577
  type: BitextMining
5578
  dataset:
 
6163
  - type: accuracy
6164
  value: 94.6
6165
  - type: f1
6166
+ value: 93
6167
  - type: precision
6168
  value: 92.23333333333333
6169
  - type: recall
 
6676
  - type: max_f1
6677
  value: 77.87816307403935
6678
  language:
6679
+ - multilingual
6680
+ - af
6681
+ - am
6682
+ - ar
6683
+ - as
6684
+ - az
6685
+ - be
6686
+ - bg
6687
+ - bn
6688
+ - br
6689
+ - bs
6690
+ - ca
6691
+ - cs
6692
+ - cy
6693
+ - da
6694
+ - de
6695
+ - el
6696
+ - en
6697
+ - eo
6698
+ - es
6699
+ - et
6700
+ - eu
6701
+ - fa
6702
+ - fi
6703
+ - fr
6704
+ - fy
6705
+ - ga
6706
+ - gd
6707
+ - gl
6708
+ - gu
6709
+ - ha
6710
+ - he
6711
+ - hi
6712
+ - hr
6713
+ - hu
6714
+ - hy
6715
+ - id
6716
+ - is
6717
+ - it
6718
+ - ja
6719
+ - jv
6720
+ - ka
6721
+ - kk
6722
+ - km
6723
+ - kn
6724
+ - ko
6725
+ - ku
6726
+ - ky
6727
+ - la
6728
+ - lo
6729
+ - lt
6730
+ - lv
6731
+ - mg
6732
+ - mk
6733
+ - ml
6734
+ - mn
6735
+ - mr
6736
+ - ms
6737
+ - my
6738
+ - ne
6739
+ - nl
6740
+ - 'no'
6741
+ - om
6742
+ - or
6743
+ - pa
6744
+ - pl
6745
+ - ps
6746
+ - pt
6747
+ - ro
6748
+ - ru
6749
+ - sa
6750
+ - sd
6751
+ - si
6752
+ - sk
6753
+ - sl
6754
+ - so
6755
+ - sq
6756
+ - sr
6757
+ - su
6758
+ - sv
6759
+ - sw
6760
+ - ta
6761
+ - te
6762
+ - th
6763
+ - tl
6764
+ - tr
6765
+ - ug
6766
+ - uk
6767
+ - ur
6768
+ - uz
6769
+ - vi
6770
+ - xh
6771
+ - yi
6772
+ - zh
6773
+ license: mit
6774
  ---
6775
 
6776
  ## Multilingual-E5-base
 
6850
 
6851
  ## Limitations
6852
 
6853
+ Long texts will be truncated to at most 512 tokens.