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Distilbert Base Uncased CoLA Finetuned Cola

Developed by kapilchauhan
This is a text classification model based on the DistilBERT architecture, specifically fine-tuned for the CoLA (Corpus of Linguistic Acceptability) task.
Downloads 16
Release Time : 3/2/2022

Model Overview

The model is used to determine the grammatical acceptability of English sentences, which is a binary classification task in natural language processing.

Model Features

Efficient and lightweight
Based on the DistilBERT architecture, it reduces model size while maintaining high performance.
Specialized fine-tuning
Optimized specifically for grammatical acceptability judgment tasks.
Good performance
Achieved a Matthews correlation coefficient of 0.569 on the CoLA task in the GLUE benchmark.

Model Capabilities

English grammar judgment
Text classification
Sentence acceptability evaluation

Use Cases

Educational technology
Grammar checking tool
Used in English learning applications to automatically detect the grammatical correctness of sentences.
Natural language processing research
Grammar analysis benchmark
Serves as a benchmark model for grammar analysis tasks.
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