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Gpt2 Medium Finetuned Sst2 Sentiment
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Gpt2 Medium Finetuned Sst2 Sentiment

Developed by michelecafagna26
A sentiment analysis model fine-tuned on the SST-2 dataset based on the GPT-2 medium model, designed for text sentiment classification tasks.
Text Classification
Transformers
 EnglishOpen Source License:Apache-2.0#Sentiment Analysis#High-precision Classification#GPT-2 Fine-tuning
Downloads 422
Release Time : 2/11/2023

Model Overview

This model is a variant of OpenAI's GPT-2 medium, specifically fine-tuned on the Stanford Sentiment Treebank (SST-2) dataset to determine text sentiment (positive/negative).

Model Features

High-precision Sentiment Analysis
Achieves an F1 score of 0.92 on the SST-2 validation set, demonstrating excellent performance.
Powerful Language Understanding Based on GPT-2
Utilizes GPT-2's Transformer architecture to capture deep semantic features of text.
Simple and Easy-to-Use Interface
Provides a standard HuggingFace interface for quick integration into existing systems.

Model Capabilities

Text Sentiment Classification
English Text Understanding
Binary Classification Prediction

Use Cases

User Feedback Analysis
Product Review Sentiment Analysis
Automatically analyzes the sentiment of user reviews on e-commerce platforms.
Accurately identifies sentiment in 92% of reviews.
Social Media Monitoring
Public Sentiment Monitoring
Real-time monitoring of public sentiment changes in social media posts.
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