Update README.md

README.md

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   results: []
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-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # grammar_checkpoints
 
-This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
+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, 
+scored on an analytic rubric by expert raters. This model predicts the raw score for Language Beyond the Source. The rubric is as follows:
+
+LANGUAGE BEYOND THE SOURCE
+- 1 Point: Summary shows a very basic understanding of lexical and syntactic structures.
+- 2 Points: Summary shows an understanding of lexical and syntactic structures.
+- 3 Points: Summary shows an appropriate range of lexical and syntactic structures.
+- 4 Points: Summary shows an excellent range of lexical and syntactic structures.
+
 It achieves the following results on the evaluation set:
 - Loss: 0.1817
 - Mse: 0.1817
 - Rmse: 0.4263
 
+On set of summaries of sources that were withheld from the training set, the model achieved the following results:
+- Rmse: 0.4220
+- R2: 0.6236
+
 ## Model description
 
 More information needed
 
 ## Intended uses & limitations
 
-More information needed
+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
+here: ![iTELL Video](https://www.youtube.com/watch?v=YZXVQjSDZtI)
 
 ## Training and evaluation data
 
-More information needed
+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.
 
 ## Training procedure