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]

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Model size
135M params
Tensor type
F32
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