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Add evaluation results on the jeffdshen--neqa2_8shot config and train split of jeffdshen/neqa2_8shot
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the jeffdshen--neqa2_8shot config and train split of the [jeffdshen/neqa2_8shot](https://huggingface.co/datasets/jeffdshen/neqa2_8shot) dataset by
@jeffdshen
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063400).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=jeffdshen/neqa2_8shot).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=jeffdshen/neqa2_8shot).
README.md
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@@ -76,6 +76,23 @@ model-index:
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type: loss
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value: 0.8774787804555325
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verified: true
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---
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type: loss
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value: 0.8774787804555325
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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: jeffdshen/neqa2_8shot
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type: jeffdshen/neqa2_8shot
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config: jeffdshen--neqa2_8shot
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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: 0.4704
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verified: true
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- name: Loss
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type: loss
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value: 0.8517999931752682
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verified: true
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---
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