autoevaluator HF staff commited on
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Add evaluation results on the default config and train split of gnad10

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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 train split of the [gnad10](https://huggingface.co/datasets/gnad10) dataset by

@BraveStone9
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-gnad10-default-1a81d6-36119145026).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=gnad10).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=gnad10).

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  1. README.md +69 -2
README.md CHANGED
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  ---
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  language:
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  - de
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- datasets:
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- - gnad10
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  tags:
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  - text-classification
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  - german-news-classification
 
 
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  metrics:
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  - accuracy
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  - precision
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  - recall
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  - f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # German BERT for News Classification
 
1
  ---
2
  language:
3
  - de
 
 
4
  tags:
5
  - text-classification
6
  - german-news-classification
7
+ datasets:
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+ - gnad10
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  metrics:
10
  - accuracy
11
  - precision
12
  - recall
13
  - f1
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+ model-index:
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+ - name: Mathking/bert-base-german-cased-gnad10
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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: gnad10
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+ type: gnad10
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+ config: default
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+ split: train
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+ metrics:
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+ - type: accuracy
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+ value: 0.9557598702001082
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+ name: Accuracy
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+ verified: true
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+ - type: f1
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+ value: 0.9550736462647613
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+ name: F1 Macro
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+ verified: true
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+ - type: f1
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+ value: 0.9557598702001082
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+ name: F1 Micro
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+ verified: true
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+ - type: f1
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+ value: 0.9556789875763837
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+ name: F1 Weighted
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+ verified: true
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+ - type: precision
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+ value: 0.953834169384936
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+ name: Precision Macro
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+ verified: true
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+ - type: precision
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+ value: 0.9557598702001082
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+ name: Precision Micro
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWIzZmNlZTcxNzhhMzZhNWQ1ZWI4YzZjMDYyOTMwY2Q5N2EwMzFhMzE4OTFkZjg1NTIyYjVkMGNjZDYwZmQ2YSIsInZlcnNpb24iOjF9.rQ7ZIKeP25hLfHaYdPqX-VZCHoL-YohqGV9NZ-TAIHvNQbj0lPpX_nS89cJ1C0tSoHCeP14lIOWNncRJzQOOCA
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+ - type: precision
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+ value: 0.9558822798145145
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+ name: Precision Weighted
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+ verified: true
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+ - type: recall
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+ value: 0.956651983810566
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+ name: Recall Macro
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+ verified: true
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+ - type: recall
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+ value: 0.9557598702001082
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+ name: Recall Micro
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+ verified: true
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+ - type: recall
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+ value: 0.9557598702001082
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+ name: Recall Weighted
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+ verified: true
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+ - type: loss
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+ value: 0.17337004840373993
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+ name: loss
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzVmMmQ5OGE0OTU3MTg0NDg4YzhlODU1NWUyODM0NzFjODM3MTY5MWI2OTAyMzU5OTQ2YTljZTJkN2JkYTcyNSIsInZlcnNpb24iOjF9.jeYTrX35vtswkWi8ROqynY_W4rHfxonic74PviTNAKJzTF7tUCI2a9IBavXvSQhMfGv0NEkZzX8N8o4hQTvWDw
81
  ---
82
 
83
  # German BERT for News Classification