# Bert Fine-tuning

This is a fine-tuned BERT-based model for English quality-related text classification tasks, part of the Multi2ConvAI project.

This is a Bert model optimized for the COVID-19 domain, developed by the Multi2ConvAI project

A logistics domain-specific Bert model developed by the Multi2ConvAI project, optimized for English text

A toxic comment classification model fine-tuned based on bert-base-uncased, used to identify toxic content in text.

This is a model fine-tuned based on the Bert architecture, specifically designed to analyze the sentiment tendency of text messages, capable of distinguishing between positive and negative sentiments.

This is a German text classification model for the COVID-19 domain, fine-tuned based on the BERT architecture.