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Bert Base Uncased Issues 128
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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