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omarelshehy
/
arabic-english-sts-matryoshka

Sentence Similarity
sentence-transformers
Safetensors
Arabic
English
xlm-roberta
feature-extraction
mteb
bilingual
Eval Results
text-embeddings-inference
Inference Endpoints
Model card Files Community
omarelshehy commited on
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Update README.md

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README.md CHANGED
@@ -23,30 +23,30 @@ model-index:
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  - name: omarelshehy/Arabic-English-Matryoshka-STS
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  results:
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  - dataset:
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- config: en-ar
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- name: MTEB STS17 (en-ar)
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  revision: faeb762787bd10488a50c8b5be4a3b82e411949c
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  split: test
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  type: mteb/sts17-crosslingual-sts
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  metrics:
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  - type: cosine_pearson
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- value: 79.79480510851795
34
  - type: cosine_spearman
35
- value: 79.67609346073252
36
  - type: euclidean_pearson
37
- value: 81.64087935350051
38
  - type: euclidean_spearman
39
- value: 80.52588414802709
40
  - type: main_score
41
- value: 79.67609346073252
42
  - type: manhattan_pearson
43
- value: 81.57042957417305
44
  - type: manhattan_spearman
45
- value: 80.44331526051143
46
  - type: pearson
47
- value: 79.79480418294698
48
  - type: spearman
49
- value: 79.67609346073252
50
  task:
51
  type: STS
52
  - dataset:
@@ -77,30 +77,30 @@ model-index:
77
  task:
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  type: STS
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  - dataset:
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- config: en-en
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- name: MTEB STS17 (en-en)
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  revision: faeb762787bd10488a50c8b5be4a3b82e411949c
83
  split: test
84
  type: mteb/sts17-crosslingual-sts
85
  metrics:
86
  - type: cosine_pearson
87
- value: 87.17053120821998
88
  - type: cosine_spearman
89
- value: 87.05959159411456
90
  - type: euclidean_pearson
91
- value: 87.63706739480517
92
  - type: euclidean_spearman
93
- value: 87.7675347222274
94
  - type: main_score
95
- value: 87.05959159411456
96
  - type: manhattan_pearson
97
- value: 87.7006832512623
98
  - type: manhattan_spearman
99
- value: 87.80128473941168
100
  - type: pearson
101
- value: 87.17053012311975
102
  - type: spearman
103
- value: 87.05959159411456
104
  task:
105
  type: STS
106
  Language:
 
23
  - name: omarelshehy/Arabic-English-Matryoshka-STS
24
  results:
25
  - dataset:
26
+ config: en-en
27
+ name: MTEB STS17 (en-en)
28
  revision: faeb762787bd10488a50c8b5be4a3b82e411949c
29
  split: test
30
  type: mteb/sts17-crosslingual-sts
31
  metrics:
32
  - type: cosine_pearson
33
+ value: 87.17053120821998
34
  - type: cosine_spearman
35
+ value: 87.05959159411456
36
  - type: euclidean_pearson
37
+ value: 87.63706739480517
38
  - type: euclidean_spearman
39
+ value: 87.7675347222274
40
  - type: main_score
41
+ value: 87.05959159411456
42
  - type: manhattan_pearson
43
+ value: 87.7006832512623
44
  - type: manhattan_spearman
45
+ value: 87.80128473941168
46
  - type: pearson
47
+ value: 87.17053012311975
48
  - type: spearman
49
+ value: 87.05959159411456
50
  task:
51
  type: STS
52
  - dataset:
 
77
  task:
78
  type: STS
79
  - dataset:
80
+ config: en-ar
81
+ name: MTEB STS17 (en-ar)
82
  revision: faeb762787bd10488a50c8b5be4a3b82e411949c
83
  split: test
84
  type: mteb/sts17-crosslingual-sts
85
  metrics:
86
  - type: cosine_pearson
87
+ value: 79.79480510851795
88
  - type: cosine_spearman
89
+ value: 79.67609346073252
90
  - type: euclidean_pearson
91
+ value: 81.64087935350051
92
  - type: euclidean_spearman
93
+ value: 80.52588414802709
94
  - type: main_score
95
+ value: 79.67609346073252
96
  - type: manhattan_pearson
97
+ value: 81.57042957417305
98
  - type: manhattan_spearman
99
+ value: 80.44331526051143
100
  - type: pearson
101
+ value: 79.79480418294698
102
  - type: spearman
103
+ value: 79.67609346073252
104
  task:
105
  type: STS
106
  Language: