license: mit
datasets:
- cong1230/Mental_illness_chatbot_training_dataset
language:
- ko
library_name: transformers
pipeline_tag: text-generation
description: >
Model Purpose and Target Domain:
This model is designed for text generation, specifically for the domain of
mental health counseling chatbots. Its aim is to provide support for various
mental health issues through conversations with users.
Unique Features and Capabilities:
The model specializes in mental health counseling, generating responses based
on users' text inputs, performing sentiment analysis, and providing
appropriate counseling. It also incorporates knowledge about various mental
health-related topics to offer more effective counseling.
Performance Metrics and Benchmarks:
Specific information about performance metrics and benchmarks is not currently
available. The quantitative performance of the model needs to be evaluated in
real-world usage scenarios.
Training Procedure and Techniques:
The model was fine-tuned using the Peft library with Low-Rank Adaptation
(LoRA) technique. This approach allows the model to effectively learn and
apply knowledge and language specific to mental health counseling in chatbot
interactions.
Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
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Uses
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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
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Training Details
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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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