Distilbert Base Uncased Becasv2 1
A fine-tuned version of the distilbert-base-uncased model on the becasv2 dataset, primarily used for text-related tasks.
Downloads 16
Release Time : 7/7/2022
Model Overview
This model is a fine-tuned version of DistilBERT, suitable for text classification or other natural language processing tasks. The specific application needs further confirmation based on the nature of the becasv2 dataset.
Model Features
Lightweight BERT
Based on the DistilBERT architecture, it is more lightweight than standard BERT while maintaining good performance.
Domain Adaptation
Fine-tuned on the becasv2 dataset, potentially possessing domain-specific adaptation capabilities.
Efficient Training
Only requires 10 training epochs to achieve good results.
Model Capabilities
Text Classification
Natural Language Understanding
Text Feature Extraction
Use Cases
Text Analysis
Text Classification
Can be used for domain-specific text classification tasks.
Validation loss 2.9472
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