Update README.md

README.md

@@ -1373,7 +1373,7 @@ model-index:
     - type: map_at_5
       value: 15.716
     - type: mrr_at_1
-      value: 66.0
+      value: 66
     - type: mrr_at_10
       value: 74.263
     - type: mrr_at_100
@@ -1397,7 +1397,7 @@ model-index:
     - type: ndcg_at_5
       value: 42.187000000000005
     - type: precision_at_1
-      value: 66.0
+      value: 66
     - type: precision_at_10
       value: 31.75
     - type: precision_at_100
@@ -4506,7 +4506,7 @@ model-index:
     - type: map_at_5
       value: 0.915
     - type: mrr_at_1
-      value: 80.0
+      value: 80
     - type: mrr_at_10
       value: 87.167
     - type: mrr_at_100
@@ -4518,7 +4518,7 @@ model-index:
     - type: mrr_at_5
       value: 87.167
     - type: ndcg_at_1
-      value: 76.0
+      value: 76
     - type: ndcg_at_10
       value: 69.757
     - type: ndcg_at_100
@@ -4530,9 +4530,9 @@ model-index:
     - type: ndcg_at_5
       value: 72.225
     - type: precision_at_1
-      value: 80.0
+      value: 80
     - type: precision_at_10
-      value: 75.0
+      value: 75
     - type: precision_at_100
       value: 53.959999999999994
     - type: precision_at_1000
@@ -4540,7 +4540,7 @@ model-index:
     - type: precision_at_3
       value: 76.667
     - type: precision_at_5
-      value: 78.0
+      value: 78
     - type: recall_at_1
       value: 0.21
     - type: recall_at_10
@@ -4801,13 +4801,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 74.0
+      value: 74
     - type: f1
       value: 70.51022222222223
     - type: precision
       value: 69.29673599347512
     - type: recall
-      value: 74.0
+      value: 74
   - task:
       type: BitextMining
     dataset:
@@ -5005,13 +5005,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 87.0
+      value: 87
     - type: f1
       value: 84.32412698412699
     - type: precision
       value: 83.25527777777778
     - type: recall
-      value: 87.0
+      value: 87
   - task:
       type: BitextMining
     dataset:
@@ -5311,13 +5311,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 94.0
+      value: 94
     - type: f1
       value: 92.45333333333333
     - type: precision
       value: 91.79166666666667
     - type: recall
-      value: 94.0
+      value: 94
   - task:
       type: BitextMining
     dataset:
@@ -5430,13 +5430,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 85.0
+      value: 85
     - type: f1
       value: 81.04666666666667
     - type: precision
       value: 79.25
     - type: recall
-      value: 85.0
+      value: 85
   - task:
       type: BitextMining
     dataset:
@@ -5566,13 +5566,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 96.0
+      value: 96
     - type: f1
       value: 94.82333333333334
     - type: precision
       value: 94.27833333333334
     - type: recall
-      value: 96.0
+      value: 96
   - task:
       type: BitextMining
     dataset:
@@ -6163,7 +6163,7 @@ model-index:
     - type: accuracy
       value: 94.6
     - type: f1
-      value: 93.0
+      value: 93
     - type: precision
       value: 92.23333333333333
     - type: recall
@@ -6676,100 +6676,101 @@ model-index:
     - type: max_f1
       value: 77.87816307403935
 language:
-  - multilingual
-  - af
-  - am
-  - ar
-  - as
-  - az
-  - be
-  - bg
-  - bn
-  - br
-  - bs
-  - ca
-  - cs
-  - cy
-  - da
-  - de
-  - el
-  - en
-  - eo
-  - es
-  - et
-  - eu
-  - fa
-  - fi
-  - fr
-  - fy
-  - ga
-  - gd
-  - gl
-  - gu
-  - ha
-  - he
-  - hi
-  - hr
-  - hu
-  - hy
-  - id
-  - is
-  - it
-  - ja
-  - jv
-  - ka
-  - kk
-  - km
-  - kn
-  - ko
-  - ku
-  - ky
-  - la
-  - lo
-  - lt
-  - lv
-  - mg
-  - mk
-  - ml
-  - mn
-  - mr
-  - ms
-  - my
-  - ne
-  - nl
-  - 'no'
-  - om
-  - or
-  - pa
-  - pl
-  - ps
-  - pt
-  - ro
-  - ru
-  - sa
-  - sd
-  - si
-  - sk
-  - sl
-  - so
-  - sq
-  - sr
-  - su
-  - sv
-  - sw
-  - ta
-  - te
-  - th
-  - tl
-  - tr
-  - ug
-  - uk
-  - ur
-  - uz
-  - vi
-  - xh
-  - yi
-  - zh
+- multilingual
+- af
+- am
+- ar
+- as
+- az
+- be
+- bg
+- bn
+- br
+- bs
+- ca
+- cs
+- cy
+- da
+- de
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- fy
+- ga
+- gd
+- gl
+- gu
+- ha
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- jv
+- ka
+- kk
+- km
+- kn
+- ko
+- ku
+- ky
+- la
+- lo
+- lt
+- lv
+- mg
+- mk
+- ml
+- mn
+- mr
+- ms
+- my
+- ne
+- nl
+- 'no'
+- om
+- or
+- pa
+- pl
+- ps
+- pt
+- ro
+- ru
+- sa
+- sd
+- si
+- sk
+- sl
+- so
+- sq
+- sr
+- su
+- sv
+- sw
+- ta
+- te
+- th
+- tl
+- tr
+- ug
+- uk
+- ur
+- uz
+- vi
+- xh
+- yi
+- zh
+license: mit
 ---
 
 ## Multilingual-E5-base
@@ -6849,5 +6850,4 @@ If you find our paper or models helpful, please consider cite as follows:
 
 ## Limitations
 
-Long texts will be truncated to at most 512 tokens.
-
+Long texts will be truncated to at most 512 tokens.