Bert Finetuned Ner
BERT-base-cased fine-tuned Named Entity Recognition (NER) model
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Release Time : 7/9/2022
Model Overview
This model is a fine-tuned version of bert-base-cased for NER tasks, suitable for named entity recognition.
Model Features
Based on BERT architecture
Uses the powerful bert-base-cased as the base model with excellent text understanding capabilities
Efficient fine-tuning
Achieved good results with only 2 training epochs, validation loss of 0.0554
Mixed precision training
Trained with mixed_float16 precision to improve training efficiency
Model Capabilities
Named Entity Recognition
Text sequence labeling
Use Cases
Text information extraction
Document entity recognition
Identify entities such as person names, locations, and organization names from documents
Biomedical text processing
Identify professional terms and entities in medical literature
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