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Autonlp Shipping Status 2 27366103

Developed by jwuthri
This is a binary classification model trained based on AutoNLP, specifically designed for logistics status classification tasks.
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is trained using the AutoNLP framework, primarily for text classification tasks, especially binary classification related to logistics status.

Model Features

High Accuracy
Achieves 94.38% accuracy on the validation set.
Low Loss Value
Validation loss is only 0.1817.
Excellent AUC Value
AUC value reaches 0.9815, indicating the model has strong classification capability.

Model Capabilities

Text Classification
Logistics Status Recognition
Binary Decision

Use Cases

Logistics Management
Automatic Logistics Status Classification
Automatically identifies status classification in logistics information.
Accuracy reaches 94.38%.
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