bert-finetuned-ner Open-source Model - Free for Precise Named Entity Recognition Tasks

Bert Finetuned Ner

Developed by ankitsharma

BERT-base-cased fine-tuned Named Entity Recognition (NER) model

Downloads 14

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.

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

Named Entity Recognition

Text sequence labeling

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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