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opendaisy
hang1704/opendaisy
opendaisy is a text classification model from hang1704. Use it when you need a label for a piece of text. The card lists the license as mit.
This model is fine-tuned for Vietnamese text classification, specifically for distinguishing between product-related and general chitchat conversations.
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024
- SHA
- 1de15235
Model card
From the Hugging Face model README
OpenDaisy Model
Model description
This model is fine-tuned for Vietnamese text classification, specifically for distinguishing between product-related and general chitchat conversations.
Intended uses & limitations
The model is intended for use in chatbots or conversation systems to identify when a user is inquiring about products versus engaging in general conversation.
Training data
The model was trained on a synthetic dataset of Vietnamese conversations, labeled as either product-related or general chitchat.
Training procedure
The model was fine-tuned using the Hugging Face Transformers library, based on the vinai/phobert-base-v2 pre-trained model.
Evaluation results
[Add your evaluation metrics here, e.g. accuracy, F1 score]
- Task
- Text Classification
- Type
- roberta
- License
- mit
- Languages
- vi
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024