IndicBERT
| Property | Value |
|---|---|
| License | MIT |
| Languages Supported | 12 Indian Languages |
| Training Corpus Size | 8.9B Tokens |
| Framework | PyTorch, Transformers |
What is IndicBERT?
IndicBERT is a groundbreaking multilingual ALBERT model specifically designed for Indian languages. Developed by AI4Bharat, it has been pre-trained on an extensive corpus of 9 billion tokens across 12 major Indian languages: Assamese, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, and Telugu. The model stands out for its efficient architecture, requiring fewer parameters than other multilingual models while maintaining competitive performance.
Implementation Details
The model utilizes the ALBERT architecture optimized for Indian language processing. It has been trained on AI4Bharat's carefully curated monolingual corpus, with Hindi (1.84B tokens) and English (1.34B tokens) comprising the largest portions of the training data. The model achieves impressive results on the IndicGLUE benchmark, outperforming both mBERT and XLM-R on several tasks.
- Achieves 95.87% accuracy on News Article Headline Prediction
- Shows strong performance in Cross-Lingual Sentence Retrieval (27.12%)
- Excels in multiple classification and NLI tasks
Core Capabilities
- Multilingual text understanding and generation
- Cross-lingual transfer learning
- Named Entity Recognition
- Text Classification
- Sentiment Analysis
- Natural Language Inference
Frequently Asked Questions
Q: What makes this model unique?
IndicBERT's uniqueness lies in its specialized focus on Indian languages and its efficient architecture. Unlike general multilingual models, it's specifically optimized for Indian language processing while using fewer parameters than models like mBERT and XLM-R.
Q: What are the recommended use cases?
The model is ideal for tasks involving Indian language processing, including text classification, sentiment analysis, named entity recognition, and cross-lingual applications. It's particularly effective for applications requiring understanding of multiple Indian languages simultaneously.
