Bert Base Uncased Scouting
This model is a fine-tuned version based on bert-base-uncased. Specific application scenarios and training dataset information are not provided.
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Release Time : 3/10/2022
Model Overview
A fine-tuned model based on bert-base-uncased, suitable for natural language processing tasks. Specific uses require further information confirmation.
Model Features
BERT Base Architecture
Based on the widely used bert-base-uncased model, with strong language understanding capabilities
Fine-tuning Optimization
Fine-tuned for 3 epochs on a specific dataset, validation loss decreased from 1.7727 to 1.5572
Standard Training Configuration
Trained using the Adam optimizer and linear learning rate scheduler
Model Capabilities
Text understanding
Text feature extraction
Natural language processing
Use Cases
Natural Language Processing
Text Classification
Can be used for text classification tasks
Question Answering Systems
Potentially suitable for question answering system development
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