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  # storyseeker
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4343
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  - Accuracy: 0.8416
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  ## Model description
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- More information needed
 
 
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  # storyseeker
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the [StorySeeker](https://github.com/maria-antoniak/storyseeker) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4343
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  - Accuracy: 0.8416
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  ## Model description
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+ This model can be used to predict whether a text contains or does not contain a story.
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+ For our definition of "story" please refer to our [codebook](https://github.com/maria-antoniak/storyseeker).
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  ## Intended uses & limitations
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+ This model is intended for researchers interested in measuring storytelling in online communities, though it can be applied to other kinds of datasets.
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  ## Training and evaluation data
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+ The model was fine-tuned on the training split of the [StorySeeker](https://github.com/maria-antoniak/storyseeker) dataset, which contains 301 Reddit posts and comments annotated with story and event spans. This model was fine-tuned using binary document labels (the document contains a story or does not contain a story).
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  ## Training procedure
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