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Finetuned Sentence Itr0 3e 05 Essays 27 02 2022 19 35 56

Developed by ali2066
Text classification model fine-tuned based on distilbert-base-uncased-finetuned-sst-2-english, achieving 86.38% accuracy on the evaluation set
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of DistilBERT, primarily used for text classification tasks, with no specific application scenario explicitly stated

Model Features

Efficient Fine-tuning
Fine-tuned on the lightweight DistilBERT architecture, reducing computational resource requirements while maintaining performance
Good Classification Performance
Achieved 86.38% accuracy and 91.65% F1 score on the evaluation set

Model Capabilities

Text Classification
Sentiment Analysis

Use Cases

Text Analysis
Article Classification
Classify article content
86.38% accuracy
Sentiment Analysis
Analyze text sentiment tendencies
91.65% F1 score
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