language: vi | |
tags: | |
- vietnamese | |
- text-classification | |
license: mit | |
# 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] | |