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library_name: transformers
tags: []

Model Card for Model ID

Intent classification is the act of classifying customer's in to different pre defined categories. Sometimes intent classification is referred to as topic classification. By fine tuning a T5 model with prompts containing sythetic data that resembles customer's requests this model is able to classify intents in a dynamic way by adding all of the categories to the prompt

Model Details

Fine tuned Flan-T5-Base

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: Serj Smorodinsky
  • Model type: Flan-T5-Base
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: Flan-T5-Base

Model Sources [optional]

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Uses

Direct Use

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Software

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Citation [optional]

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