---
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-classification
---

# Fine-tuned LoRA Classifier on MobileBERT

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.

## Model Details

### Model Description

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:

- **information_intent**
- **yelp_intent**
- **navigation_intent**
- **travel_intent**
- **purchase_intent**
- **weather_intent**
- **translation_intent**
- **unknown**
---


- **Developed by:** Mozilla
- **Language(s):** English (`en`)
- **License:** Apache-2.0
- **Fine-tuned from:** [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased)

### Model Sources

- **Repository:** [Mozilla Smart Intent Project](https://github.com/mozilla/smart_intent)
- **Demo:** https://huggingface.co/spaces/chidamnat2002/intent_classifier

## Citation
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}
}
```