D

Distilbert Base Uncased Becas 2

Developed by Evelyn18
Model fine-tuned on distilbert-base-uncased using the becasv2 dataset, with a validation loss of 5.9506
Downloads 16
Release Time : 6/29/2022

Model Overview

This model is a fine-tuned version of DistilBERT, primarily used for text-related tasks. Specific applications require further information.

Model Features

Lightweight BERT
Based on the DistilBERT architecture, more lightweight and efficient than standard BERT
Domain fine-tuning
Fine-tuned on the becasv2 dataset, potentially possessing domain-specific capabilities

Model Capabilities

Text understanding
Text classification (inference)
Text feature extraction (inference)

Use Cases

Natural Language Processing
Text classification
Potentially suitable for domain-specific text classification tasks
Validation loss 5.9506
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase