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Add evaluation results on the default config of ag_news

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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 of the [ag_news](https://huggingface.co/datasets/ag_news) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-ag_news-default-684001-14155939).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=ag_news).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=ag_news).

Files changed (1) hide show
  1. README.md +58 -1
README.md CHANGED
@@ -7,7 +7,64 @@ tags:
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  datasets:
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  - ag_news
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  widget:
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- - text: "Israel withdraws from Gaza camp Israel withdraws from Khan Younis refugee camp in the Gaza Strip, after a four-day operation that left 11 dead."
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # BERT-Mini fine-tuned on age_news dataset for news classification
 
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  datasets:
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  - ag_news
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  widget:
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+ - text: Israel withdraws from Gaza camp Israel withdraws from Khan Younis refugee
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+ camp in the Gaza Strip, after a four-day operation that left 11 dead.
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+ model-index:
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+ - name: mrm8488/bert-mini-finetuned-age_news-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: ag_news
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+ type: ag_news
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+ config: default
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+ split: test
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9339473684210526
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9341278202108704
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.9339473684210526
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9341278202108704
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9339473684210526
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.9339473684210526
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.9339473684210526
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9339351653217216
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.9339473684210526
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.9339351653217215
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.20814141631126404
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+ verified: true
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  ---
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  # BERT-Mini fine-tuned on age_news dataset for news classification