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Distilbert Base Uncased Finetuned Cola

Developed by Jungwoo
A lightweight text classification model based on DistilBERT, fine-tuned on the GLUE CoLA task for grammatical acceptability judgment
Downloads 16
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of DistilBERT, specifically designed for grammatical acceptability classification tasks (CoLA). By evaluating the grammatical correctness of sentences, it can be used in scenarios such as text quality detection.

Model Features

Lightweight and efficient
Adopts the DistilBERT architecture, reducing model size by 40% compared to the original BERT while maintaining performance.
Grammar analysis
Optimized specifically for grammatical acceptability classification tasks, capable of judging whether sentences conform to grammatical rules.
Transfer learning
Fine-tuned based on a pre-trained model, suitable for small-scale dataset scenarios.

Model Capabilities

Text classification
Grammar analysis
Natural language understanding

Use Cases

Educational technology
Grammar checking tool
Integrated into writing assistance tools to automatically detect grammatical errors
Matthews correlation coefficient 0.5414 (GLUE CoLA benchmark)
Content moderation
Content quality filtering
Identify user-generated content that does not comply with grammatical standards
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