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README.md
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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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# 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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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
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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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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
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