Distilbert-base-uncased-becasv2-6 Open-source Text Classification Model - Free Deployment for Precise Text Classification

Distilbert Base Uncased Becasv2 6

Developed by Evelyn18

This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset, primarily used for text classification tasks.

Downloads 16

Release Time : 7/7/2022

Model Overview

This is a fine-tuned DistilBERT model suitable for text classification tasks, optimized on a specific dataset.

Lightweight Model

Based on the DistilBERT architecture, it is more lightweight than standard BERT models, making it suitable for resource-constrained environments.

Efficient Fine-tuning

Fine-tuned on the specific dataset becasv2, improving performance in this domain.

Text Classification

Natural Language Understanding

Text Analysis

Sentiment Analysis

Can be used to analyze the sentiment orientation of text.

Topic Classification

Can be used to classify text into predefined topic categories.

Training Loss	Epoch	Step	Validation Loss
No log	1.0	9	4.0542
No log	2.0	18	3.0865
No log	3.0	27	2.8069
No log	4.0	36	3.3330
No log	5.0	45	3.4108
No log	6.0	54	3.5562
No log	7.0	63	3.8846
No log	8.0	72	3.8936

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base