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Distilbert Base Uncased Finetuned Cola
A text classification model fine-tuned on the GLUE dataset based on distilbert-base-uncased, designed for sentence acceptability judgment tasks
Downloads 15
Release Time : 3/2/2022
Model Overview
This model is a lightweight text classification model based on the DistilBERT architecture, specifically fine-tuned for sentence acceptability judgment tasks (CoLA), capable of evaluating the grammatical and semantic correctness of sentences.
Model Features
Lightweight and efficient
Based on the DistilBERT architecture, smaller and faster than standard BERT models while maintaining good performance
Specialized fine-tuning
Specifically fine-tuned on the GLUE CoLA task, excelling at judging sentence grammatical correctness
Excellent performance
Achieves a Matthews correlation coefficient of 0.5414 on the evaluation set, demonstrating outstanding performance
Model Capabilities
Text classification
Grammar correctness judgment
Semantic acceptability evaluation
Use Cases
Educational technology
Grammar checking
Used in language learning applications to automatically detect grammatical correctness in student sentences
Accurately identifies sentences that do not conform to grammatical rules
Content moderation
Content quality assessment
Automatically detects grammatical errors and incoherent sentences in user-generated content
Helps improve platform content quality
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