Distilbert Base Uncased Becas 4
A text classification model fine-tuned on the becasv2 dataset based on distilbert-base-uncased
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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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