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Bert Base Uncased Issues 128

Developed by cj-mills
A fine-tuned version of the bert-base-uncased model, suitable for specific task processing
Downloads 129
Release Time : 4/22/2022

Model Overview

This model is a fine-tuned version of bert-base-uncased on a specific dataset, primarily used for text processing tasks. Specific applications require further details.

Model Features

Based on BERT architecture
Utilizes the powerful BERT architecture with excellent text comprehension capabilities
Fine-tuning optimization
Fine-tuned on a specific dataset, potentially offering better performance for particular tasks
Linear learning rate scheduling
Employs a linear learning rate scheduling strategy during training to optimize training outcomes

Model Capabilities

Text comprehension
Text classification
Sequence labeling

Use Cases

Text analysis
Issue classification
Can be used to classify issues or feedback
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