A

Autotrain Job All 903929564

Developed by ismail-lucifer011
This is an entity recognition model trained via AutoTrain, featuring high accuracy and F1 score.
Downloads 79
Release Time : 5/24/2022

Model Overview

This model is designed for entity recognition tasks, capable of identifying specific types of entities from text.

Model Features

High Accuracy
Validation accuracy reaches 99.89%, demonstrating excellent performance.
High F1 Score
F1 score reaches 0.987, indicating a good balance between precision and recall.
Low Loss Value
Validation loss is only 0.0036, indicating good model fitting.

Model Capabilities

Text Entity Recognition
Named Entity Recognition
Sequence Labeling

Use Cases

Natural Language Processing
Text Information Extraction
Extract specific types of entity information from unstructured text.
Accurately identify entities in text with high precision.
Document Automation Processing
Automatically process key information extraction in documents.
Improve document processing efficiency.
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