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gonglinyuan
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metro_t0pp_largepp

Text2Text Generation
Transformers
PyTorch
English
fairseq_t5
t5
custom_code
Eval Results
Model card Files Community
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  1. README.md +11 -11
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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  - task:
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  type: natural-language-inference
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  dataset:
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  split: validation
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  dataset:
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  split: dev_r1
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  - task:
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  dataset:
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  split: dev_r2
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  metrics:
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- value: 6
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  - task:
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  type: natural-language-inference
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  dataset:
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  split: dev_r3
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  metrics:
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  - type: accuracy
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- value: 8
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  - task:
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  type: coreference-resolution
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  dataset:
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  metrics:
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  - type: accuracy
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  dataset:
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  metrics:
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  - type: accuracy
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  - task:
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  dataset:
@@ -83,7 +83,7 @@ model-index:
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  metrics:
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  - type: accuracy
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- value: 1
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  metrics:
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  - type: accuracy
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- value: 0
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  - task:
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  type: multiple-choice-qa
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  dataset:
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  split: validation
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  metrics:
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  - type: accuracy
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- value: 4
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  - task:
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  type: word-sense-disambiguation
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  dataset:
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  - type: accuracy
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  ---
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  Official repository: https://github.com/gonglinyuan/metro_t0
 
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  split: validation
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  metrics:
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  - type: accuracy
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  type: natural-language-inference
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  dataset:
 
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  split: validation
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  metrics:
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  - type: accuracy
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  - task:
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  type: natural-language-inference
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  dataset:
 
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  split: dev_r1
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  metrics:
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  - type: accuracy
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  - task:
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  type: natural-language-inference
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  dataset:
 
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  split: dev_r2
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  metrics:
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  - type: accuracy
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  type: natural-language-inference
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  dataset:
 
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  split: dev_r3
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  metrics:
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  - type: accuracy
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  - task:
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  type: coreference-resolution
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  dataset:
 
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  split: validation
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  metrics:
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  - type: accuracy
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  dataset:
 
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  split: validation
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  - type: accuracy
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  - task:
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  type: multiple-choice-qa
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  dataset:
 
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  split: validation
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  metrics:
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  - type: accuracy
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  type: multiple-choice-qa
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  dataset:
 
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  split: validation
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  metrics:
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  - type: accuracy
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  - task:
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  type: word-sense-disambiguation
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  dataset:
 
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  split: validation
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  metrics:
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  - type: accuracy
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+ value: 70.4858934169279
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  ---
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  Official repository: https://github.com/gonglinyuan/metro_t0