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Distilbert Base Uncased Prueba2

Developed by Evelyn18
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset, primarily used for text-related tasks.
Downloads 15
Release Time : 7/13/2022

Model Overview

This is a lightweight model based on DistilBERT, fine-tuned on the becasv2 dataset, suitable for various natural language processing tasks.

Model Features

Lightweight model
Based on DistilBERT architecture, smaller and faster than standard BERT models
Fine-tuned version
Specially fine-tuned on the becasv2 dataset
Efficient training
Achieves good results with only 8 training epochs

Model Capabilities

Text understanding
Text classification
Text feature extraction

Use Cases

Natural Language Processing
Text classification
Can be used for various text classification tasks
Semantic analysis
Can be used to understand text semantics
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