autoevaluator HF staff commited on
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Add evaluation results on the default config and validation_matched split of multi_nli

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

@paadnan

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-multi_nli-default-4bf17f-59291145363).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=multi_nli).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=multi_nli).

Files changed (1) hide show
  1. README.md +67 -0
README.md CHANGED
@@ -8,6 +8,73 @@ datasets:
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  - multi_nli
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  - wikipedia
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  - bookcorpus
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # roberta-large-mnli
 
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  - multi_nli
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  - wikipedia
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  - bookcorpus
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+ model-index:
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+ - name: roberta-large-mnli
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+ results:
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+ - task:
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+ type: natural-language-inference
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+ name: Natural Language Inference
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+ dataset:
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+ name: multi_nli
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+ type: multi_nli
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+ config: default
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+ split: validation_matched
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+ metrics:
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+ - type: accuracy
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+ value: 0.9059602649006623
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+ name: Accuracy
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+ verified: true
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+ - type: f1
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+ value: 0.9051030334294846
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+ name: F1 Macro
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+ verified: true
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+ - type: f1
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+ value: 0.9059602649006623
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+ verified: true
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+ - type: f1
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+ value: 0.9057702464648203
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+ name: F1 Weighted
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+ verified: true
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+ - type: precision
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+ value: 0.9051381734323508
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+ name: Precision Macro
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+ verified: true
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+ - type: precision
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+ value: 0.9059602649006623
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+ name: Precision Micro
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+ verified: true
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+ name: Precision Weighted
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+ - type: recall
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+ value: 0.905161576355605
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+ name: Recall Macro
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+ verified: true
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+ name: Recall Micro
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+ - type: loss
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+ value: 0.28174877166748047
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+ name: loss
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+ verified: true
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  ---
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  # roberta-large-mnli