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@@ -8,36 +8,7 @@ metrics:
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  - accuracy
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  model-index:
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  - name: sdg-bert-base-multilingual-cased-classification
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- results:
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- - task:
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- type: text-classification
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- name: text-classification
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- dataset:
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- name: albertmartinez/OSDG
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- type: albertmartinez/OSDG
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- split: test
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- metrics:
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- - type: accuracy
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- value: 0.7982568274259152
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- name: accuracy
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- args:
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- accuracy: 0.7982568274259152
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- - type: accuracy
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- value: 0.7982568274259152
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- name: accuracy
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- args:
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- accuracy: 0.7982568274259152
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- total_time_in_seconds: 41.76398990501184
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- samples_per_second: 206.03874341439217
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- latency_in_seconds: 0.004853456119118169
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- - type: accuracy
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- value: 0.7982568274259152
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- name: accuracy
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- args:
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- accuracy: 0.7982568274259152
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- total_time_in_seconds: 41.774588764994405
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- samples_per_second: 205.9864681950066
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- latency_in_seconds: 0.00485468782858738
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - accuracy
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  model-index:
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  - name: sdg-bert-base-multilingual-cased-classification
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You