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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
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  metrics:
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  - accuracy
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  model-index:
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  - name: bert-base-uncased-Winowhy
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  results: []
 
 
 
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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  # bert-base-uncased-Winowhy
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8005
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  - Accuracy: 0.7118
@@ -54,10 +56,9 @@ The following hyperparameters were used during training:
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  | 0.4537 | 4.0 | 460 | 0.5829 | 0.7118 |
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  | 0.2275 | 5.0 | 575 | 0.8005 | 0.7118 |
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-
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  ### Framework versions
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  - Transformers 4.26.1
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  - Pytorch 2.0.1
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  - Datasets 2.13.1
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- - Tokenizers 0.13.3
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ - Multiple Choice
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  metrics:
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  - accuracy
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  model-index:
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  - name: bert-base-uncased-Winowhy
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  results: []
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+ datasets:
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+ - tasksource/winowhy
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+ pipeline_tag: question-answering
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  ---
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  # bert-base-uncased-Winowhy
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased).
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+
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8005
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  - Accuracy: 0.7118
 
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  | 0.4537 | 4.0 | 460 | 0.5829 | 0.7118 |
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  | 0.2275 | 5.0 | 575 | 0.8005 | 0.7118 |
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  ### Framework versions
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  - Transformers 4.26.1
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  - Pytorch 2.0.1
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  - Datasets 2.13.1
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+ - Tokenizers 0.13.3