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Distilbert Base Uncased Becas 5
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset, primarily used for text classification or related tasks.
Downloads 16
Release Time : 7/1/2022
Model Overview
A lightweight model based on DistilBERT, fine-tuned on a specific dataset, suitable for natural language processing tasks.
Model Features
Lightweight Model
Based on the DistilBERT architecture, it is more lightweight than standard BERT models, making it suitable for resource-constrained environments.
Domain-specific Fine-tuning
Fine-tuned on the becasv2 dataset, potentially performing better in related domains.
Efficient Training
Achieves good results with just 10 training epochs, demonstrating high training efficiency.
Model Capabilities
Text Classification
Natural Language Understanding
Use Cases
Education Sector
Academic Text Classification
Potentially suitable for classification tasks involving educational texts
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