autoevaluator HF staff commited on
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Add evaluation results on the jeffdshen--neqa2_8shot config and train split of jeffdshen/neqa2_8shot

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Beep 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-959823-1853063406).\
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).

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  1. README.md +17 -0
README.md CHANGED
@@ -77,6 +77,23 @@ model-index:
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  type: loss
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  value: 0.8490466677953327
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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: 0.8490466677953327
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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: 0.4784
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+ verified: true
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+ - name: Loss
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+ type: loss
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+ value: 0.7046722203731537
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+ verified: true
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  ---
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  # OPT : Open Pre-trained Transformer Language Models