Update README.md

README.md

@@ -2,15 +2,23 @@
 tags:
 - text-classification
 widget:
-- text: "Hello! I'm GraderBert! I'm a finetuned BERT model for grading user input on values like consistency, grammar and quality!"
+- text: "Hello! I'm BERT-Grader! I'm a finetuned BERT model for grading user input on values like consistency, grammar and quality!"
   example_title: "Example 1"
-- text: "HI IM MGRADER MBERT (THIS IS 1)"
-  example_title: "Example 2"
 library_name: transformers
 pipeline_tag: text-classification
 ---
 # BERT-GRADER?
-BERT-GRADER is a grader (rates the level of quality that the text is) that rates 0 (Elementery), 1 (Intermediate) and 2 (Expert) level writing.
+BERT-Grader is a BERT model designed for grading text by mesuring gramar, consistency and quality.
+Due to an error in the dataset, 'undefined' is 0.
+BERT-Grader is a finetune of distil-bert, for performance.
+## Classes
+0 (Undefined) - Elementary
+1 - Intermidiate
+2 - Advanced
+
+## Biases and Issues
+For BERT-Grader to perform well, the input text should be an actual essay.
+Some biases may arise due to training data phrases, but there were mesures in place to limit bias.
 
 ## Validation Metrics
 loss: 0.166