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  results: []
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  ---
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- # grammar_checkpoints
 
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on a dataset consisting of 4,620 summaries,
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  scored on an analytic rubric by expert raters. This model predicts the raw score for Language Beyond the Source. The rubric is as follows:
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  - Rmse: 0.4220
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  - R2: 0.6236
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- ## Model description
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-
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- More information needed
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-
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  ## Intended uses & limitations
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- This model is intended to be used to provide feedback to users of iTELL, a framework for generating intelligent educational texts. More information about iTELL can be found
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- here: [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/YZXVQjSDZtI/0.jpg)](https://www.youtube.com/watch?v=YZXVQjSDZtI)
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  ## Training and evaluation data
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- Seventy summaries in the training set had Language Beyond the Source scores of <1, which is outside of the rubric. These summaries were removed from the training and test sets.
 
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  ## Training procedure
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  results: []
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  ---
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+ # Language Beyond the Source
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+
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+ ## Model description
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on a dataset consisting of 4,620 summaries,
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  scored on an analytic rubric by expert raters. This model predicts the raw score for Language Beyond the Source. The rubric is as follows:
 
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  - Rmse: 0.4220
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  - R2: 0.6236
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  ## Intended uses & limitations
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+ This model is intended to be used to provide feedback to users of iTELL, a framework for generating intelligent educational texts.
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+ For more information about iTELL, watch our video here: [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/YZXVQjSDZtI/0.jpg)](https://www.youtube.com/watch?v=YZXVQjSDZtI)
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  ## Training and evaluation data
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+ Seventy summaries in the training set had Language Beyond the Source scores of <1, which is outside of the rubric.
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+ These summaries were removed from the training and test sets.
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  ## Training procedure
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