This is a fine-tuned LoRA (Low-Rank Adaptation) classifier on MobileBERT, designed for intent classification across multiple categories. MobileBERT is a compact and efficient version of BERT_LARGE, optimized for resource-constrained devices while maintaining robust performance. The model has been fine-tuned to classify intents such as information queries, navigation, purchase, and more.

This model is based on MobileBERT (uncased_L-24_H-128_B-512_A-4_F-4_OPT) and fine-tuned using LoRA for intent classification. The fine-tuning process adapts the model to predict intents across 8 categories:

If you use this model, please cite it as:

@misc{mozilla_mobilebert_lora_intent,
  title       = {Fine-tuned LoRA Classifier on MobileBERT},
  author      = {Mozilla},
  year        = {2024},
  url         = {https://huggingface.co/Mozilla/mobilebert-uncased-finetuned-LoRA-intent-classifier},
  license     = {Apache-2.0}
}