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ModernCE-base-sts

Text Classification
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@@ -25,27 +25,27 @@ model-index:
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  type: semantic-similarity
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  name: Semantic Similarity
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  dataset:
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- name: sts dev
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- type: sts-dev
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  metrics:
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  - type: pearson_cosine
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- value: 0.9260833551026787
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  name: Pearson Cosine
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  - type: spearman_cosine
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- value: 0.9236030687487745
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  name: Spearman Cosine
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  - task:
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  type: semantic-similarity
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  name: Semantic Similarity
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  dataset:
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- name: sts test
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- type: sts-test
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  metrics:
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  - type: pearson_cosine
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- value: 0.9162245947821821
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  name: Pearson Cosine
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  - type: spearman_cosine
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- value: 0.9121555789491528
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  name: Spearman Cosine
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  ---
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  # ModernBERT Cross-Encoder: Semantic Similarity (STS)
 
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  type: semantic-similarity
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  name: Semantic Similarity
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  dataset:
28
+ name: sts test
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+ type: sts-test
30
  metrics:
31
  - type: pearson_cosine
32
+ value: 0.9162245947821821
33
  name: Pearson Cosine
34
  - type: spearman_cosine
35
+ value: 0.9121555789491528
36
  name: Spearman Cosine
37
  - task:
38
  type: semantic-similarity
39
  name: Semantic Similarity
40
  dataset:
41
+ name: sts dev
42
+ type: sts-dev
43
  metrics:
44
  - type: pearson_cosine
45
+ value: 0.9260833551026787
46
  name: Pearson Cosine
47
  - type: spearman_cosine
48
+ value: 0.9236030687487745
49
  name: Spearman Cosine
50
  ---
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  # ModernBERT Cross-Encoder: Semantic Similarity (STS)