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Add evaluation results on the inverse-scaling--NeQA config and train split of inverse-scaling/NeQA
Browse filesBeep 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
@MicPie
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-1e740e-1694759587).\
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).
README.md
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@@ -26,6 +26,23 @@ model-index:
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type: loss
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value: 0.7090707456072172
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verified: true
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---
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# OPT : Open Pre-trained Transformer Language Models
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type: loss
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value: 0.7090707456072172
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verified: true
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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: 0.49666666666666665
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verified: true
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- name: Loss
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type: loss
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value: 0.7090707456072172
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verified: true
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---
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# OPT : Open Pre-trained Transformer Language Models
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