autoevaluator HF staff commited on
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Add evaluation results on the default config and test split of banking77

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and test split of the [banking77](https://huggingface.co/datasets/banking77) dataset by @i got my credit card, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-banking77-default-b28a77-98055146974).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=banking77).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=banking77).

Files changed (1) hide show
  1. README.md +58 -3
README.md CHANGED
@@ -10,8 +10,8 @@ model-index:
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  - name: test-bert-base-banking77
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  results:
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  - task:
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- name: Text Classification
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  type: text-classification
 
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  dataset:
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  name: banking77
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  type: banking77
@@ -19,9 +19,64 @@ model-index:
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  split: test
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  args: default
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  metrics:
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- - name: F1
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- type: f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  value: 0.9307471722060918
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  - name: test-bert-base-banking77
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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: banking77
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  type: banking77
 
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  split: test
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  args: default
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  metrics:
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+ - type: f1
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+ value: 0.9307471722060918
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+ name: F1
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+ - type: accuracy
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+ value: 0.9308441558441558
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+ name: Accuracy
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+ verified: true
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+ - type: f1
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+ value: 0.9307471722060919
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+ name: F1 Macro
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+ verified: true
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+ name: F1 Micro
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+ verified: true
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+ - type: f1
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  value: 0.9307471722060918
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+ name: F1 Weighted
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+ verified: true
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+ - type: precision
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+ value: 0.9341498488099387
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+ name: Precision Macro
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+ verified: true
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+ name: Precision Micro
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+ verified: true
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+ - type: loss
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+ name: loss
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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