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Distilbert Base Uncased Sst2 Train 8 8

Developed by SetFit
This model is a fine-tuned version of distilbert-base-uncased on the SST-2 dataset for sentiment analysis tasks.
Downloads 17
Release Time : 3/2/2022

Model Overview

This is a fine-tuned DistilBERT model specifically designed for sentiment analysis tasks, trained on the SST-2 (Stanford Sentiment Treebank) dataset.

Model Features

Lightweight Model
Based on the DistilBERT architecture, it is smaller and faster than the standard BERT model while maintaining good performance.
Sentiment Analysis
Fine-tuned specifically for sentiment analysis tasks, capable of identifying emotional tendencies in text.

Model Capabilities

Text Classification
Sentiment Analysis

Use Cases

Social Media Analysis
Comment Sentiment Analysis
Analyze the sentiment tendencies of social media comments to gauge user attitudes toward products or services.
Market Research
Product Feedback Analysis
Analyze customer feedback texts to understand overall satisfaction levels.
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