Add evaluation results on the inverse-scaling--hindsight-neglect-10shot config and train split of inverse-scaling/hindsight-neglect-10shot
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Your model has been evaluated on the inverse-scaling--hindsight-neglect-10shot config and train split of the [inverse-scaling/hindsight-neglect-10shot](https://huggingface.co./datasets/inverse-scaling/hindsight-neglect-10shot) dataset by
@MicPie
, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-eval-inverse-scaling__hindsight-neglect-10shot-inverse-scali-383fe9-1695459612).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=inverse-scaling/hindsight-neglect-10shot).\
Evaluate your model on more datasets [here](https://huggingface.co./spaces/autoevaluate/model-evaluator?dataset=inverse-scaling/hindsight-neglect-10shot).
@@ -26,6 +26,23 @@ model-index:
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type: loss
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value: 0.7019585407276948
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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: 0.7019585407276948
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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/hindsight-neglect-10shot
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type: inverse-scaling/hindsight-neglect-10shot
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config: inverse-scaling--hindsight-neglect-10shot
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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: 0.35555555555555557
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verified: true
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- name: Loss
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type: loss
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value: 0.7992834513149564
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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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