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Distilbert Base Uncased Finetuned Cola 4
A fine-tuned model based on DistilBERT for the grammatical acceptability classification task, performing excellently on the evaluation set.
Downloads 6
Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of DistilBERT on the grammatical acceptability classification task, mainly used to judge the grammatical correctness of sentences.
Model Features
Efficient and lightweight
Based on the DistilBERT architecture, it is lighter and more efficient than the original BERT model.
High accuracy
Achieved a perfect performance with a Matthews correlation coefficient of 1.0 on the evaluation set.
Fast convergence
Reached excellent performance after 10 training epochs, with high training efficiency.
Model Capabilities
Grammatical correctness judgment
Text classification
Natural language understanding
Use Cases
Educational technology
Grammar check
Used in language learning applications to automatically detect the grammatical correctness of students' writing
High-accuracy identification of grammatical errors
Content moderation
Content quality evaluation
Automatically identify user-generated content with non-standard grammar
Improve the efficiency of content moderation
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