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ai-forever
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sage-fredt5-large

Transformers
Safetensors
PyTorch
Russian
t5
text2text-generation
spellchecking
natural language generation
Eval Results
text-generation-inference
Model card Files
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@@ -18,55 +18,37 @@ model-index:
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  type: text-generation
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  dataset:
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  type: spellcheck_benchmark
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- name: spellcheck_benchmark/RUSpellRU
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  metrics:
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- - name: Precision
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- type: precision
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- value: 56.68
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  verified: false
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- - name: Recall
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- type: precision
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- value: 70.53
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  verified: false
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- - name: F1
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- type: precision
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- value: 62.85
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  verified: false
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  - task:
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  type: text-generation
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  dataset:
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  type: spellcheck_benchmark
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- name: spellcheck_benchmark/MultidomainGold
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  metrics:
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- - name: Precision
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- type: precision
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- value: 36.49
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  verified: false
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- - name: Recall
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- type: precision
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- value: 60.93
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  verified: false
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- - name: F1
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- type: precision
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- value: 45.65
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- verified: false
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- - task:
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- type: text-generation
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- dataset:
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- type: spellcheck_benchmark
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- name: spellcheck_benchmark/RUSpellRU
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- metrics:
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- - name: Precision
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- type: precision
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- value: 36.49
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- verified: false
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- - name: Recall
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- type: precision
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- value: 60.93
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- verified: false
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- - name: F1
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- type: precision
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- value: 45.65
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  verified: false
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  ---
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  type: text-generation
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  dataset:
20
  type: spellcheck_benchmark
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+ name: RUSpellRU (spell&punct)
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  metrics:
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+ - name: F1 (spell)
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+ type: f1_spell
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+ value: x
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  verified: false
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+ - name: F1 (punct)
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+ type: f1_punct
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+ value: x
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  verified: false
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+ - name: F1 (case)
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+ type: f1_case
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+ value: x
34
  verified: false
35
  - task:
36
  type: text-generation
37
  dataset:
38
  type: spellcheck_benchmark
39
+ name: MultidomainGold (spell&punct)
40
  metrics:
41
+ - name: F1 (spell)
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+ type: f1_spell
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+ value: x
44
  verified: false
45
+ - name: F1 (punct)
46
+ type: f1_punct
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+ value: x
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  verified: false
49
+ - name: F1 (case)
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+ type: f1_case
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+ value: x
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  verified: false
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  ---
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