---
tags:
- text-classification
widget:
- 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"
library_name: transformers
pipeline_tag: text-classification
---
# BERT-GRADER?
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.
Giberrish is accounted for, and will be rather random. I suggest using a spell-checker with this model, and mesure tokens.

## Validation Metrics
loss: 0.166
accuracy: 0.933333..

# Citing
```
@misc {intone_2023,
	author       = { {intone} },
	title        = { BERT-GRADER (Revision 6bddc72) },
	year         = 2023,
	url          = { https://huggingface.co/intone/BERT-GRADER },
	doi          = { 10.57967/hf/1257 },
	publisher    = { Hugging Face }
}
```