Distilbert Base Uncased Finetuned Cola
A lightweight text classification model based on DistilBERT, fine-tuned on the CoLA task of GLUE for grammatical acceptability judgment
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Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of DistilBERT, specifically designed for grammatical acceptability classification tasks. It can determine whether an English sentence is grammatically acceptable.
Model Features
Lightweight and Efficient
Based on the DistilBERT architecture, it is 40% smaller than standard BERT while retaining 97% of its performance.
Grammar Analysis
Optimized specifically for English grammatical acceptability judgment tasks.
Fine-tuning Performance
Achieves a Matthews Correlation Coefficient of 0.547 on the CoLA task.
Model Capabilities
English Grammar Judgment
Text Classification
Natural Language Understanding
Use Cases
Educational Technology
Grammar Check Tool
Used in English learning applications to automatically detect grammatical correctness of sentences.
Can identify sentence structures that do not conform to English grammar.
Content Moderation
Content Quality Filtering
Automatically filters text content with poor grammar.
Improves platform content quality.
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