| 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] | |