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Distilbert Base Uncased Becas 4

Developed by Evelyn18
A text classification model fine-tuned on the becasv2 dataset based on distilbert-base-uncased
Downloads 20
Release Time : 7/1/2022

Model Overview

This model is a lightweight version of DistilBERT, fine-tuned on the becasv2 dataset, suitable for text classification tasks.

Model Features

Lightweight Architecture
Based on the DistilBERT architecture, it is more lightweight than standard BERT models while maintaining good performance.
Domain Fine-tuning
Specially fine-tuned on the becasv2 dataset, suitable for text classification tasks in specific domains.

Model Capabilities

Text Classification
Natural Language Understanding

Use Cases

Text Analysis
Domain-specific Text Classification
Classify texts in domains related to the becasv2 dataset
Achieved a loss value of 3.1357 on the evaluation set
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