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Distilbert Base Uncased Finetuned Clinc
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Distilbert Base Uncased Finetuned Clinc

Developed by frahman
This model is a text classification model fine-tuned on the clinc_oos dataset based on DistilBERT, primarily used for intent recognition tasks.
Text Classification
Transformers
Open Source License:Apache-2.0#Intent Recognition#High Accuracy#Dialogue System
Downloads 17
Release Time : 3/2/2022

Model Overview

This is a fine-tuned DistilBERT model specifically designed for intent classification tasks, performing well on the clinc_oos dataset.

Model Features

Efficient and Lightweight
Based on the DistilBERT architecture, it is more lightweight and efficient than standard BERT models
High Accuracy
Achieves 91.87% accuracy on the clinc_oos dataset
Quick Fine-tuning
Requires only 5 training epochs to achieve good performance

Model Capabilities

Text Classification
Intent Recognition
Natural Language Understanding

Use Cases

Dialogue Systems
Customer Service Bot Intent Recognition
Identify the intent category of user input
Accurately classify user query intent
Voice Assistant Command Understanding
Parse user commands after speech-to-text conversion
Accurately understand user command intent
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