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Email Spam Detection Roberta
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Email Spam Detection Roberta

Developed by dima806
RoBERTa-base is a pre-trained language model based on the Transformer architecture, developed by Facebook AI, suitable for various natural language processing tasks.
Text Classification
Transformers
Open Source License:Apache-2.0#Email Classification#High Accuracy#Spam Detection
Downloads 2,125
Release Time : 11/13/2023

Model Overview

RoBERTa-base is an improved version of BERT, optimized for performance through more efficient training methods and larger datasets. Primarily used for NLP tasks such as text classification and entity recognition.

Model Features

Optimized Pre-training Method
Enhances model performance through dynamic masking and larger batch training.
Efficient Text Classification
Excels in text classification tasks such as spam detection.
Transformer-based Architecture
Utilizes the self-attention mechanism of Transformers to capture long-range dependencies.

Model Capabilities

Text Classification
Spam Detection
Natural Language Understanding

Use Cases

Email Processing
Spam Classification
Automatically identifies and classifies spam and non-spam emails.
High accuracy and F1 score
Text Analysis
Sentiment Analysis
Analyzes the sentiment tendency of text (positive/negative).
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