autoevaluator HF staff commited on
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Add evaluation results on the inverse-scaling--NeQA config and train split of inverse-scaling/NeQA

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the inverse-scaling--NeQA config and train split of the [inverse-scaling/NeQA](https://huggingface.co/datasets/inverse-scaling/NeQA) dataset by

@rololbot

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-4df82b-1769161494).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=inverse-scaling/NeQA).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=inverse-scaling/NeQA).

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  1. README.md +20 -0
README.md CHANGED
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  ---
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  language: en
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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # GPT-2 XL
 
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  ---
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  language: en
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  license: mit
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+ model-index:
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+ - name: gpt2-xl
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+ results:
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+ - task:
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+ type: zero-shot-classification
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+ name: Zero-Shot Text Classification
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+ dataset:
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+ name: inverse-scaling/NeQA
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+ type: inverse-scaling/NeQA
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+ config: inverse-scaling--NeQA
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+ split: train
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.45666666666666667
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+ verified: true
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+ - name: Loss
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+ type: loss
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+ value: 0.6931471824645996
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+ verified: true
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  ---
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  # GPT-2 XL