HinDiffusionLM: Diffusion Language Model for Hindi Language
Turning BERT-based model into an instruct-tuned LLADA-style Diffusion LLM on Hindi instruction data using a masked language modeling approach with diffusion-style generation. The model learns to iteratively denoise masked tokens to generate coherent responses in Hindi (trained on Kaggle GPU T4*2).
Experiments
Models Evaluated
| Model | Performance |
|---|
google/muril-base-cased | Best |
google/muril-large-cased | Poor |
ai4bharat/indic-bert | Moderate |
Datasets Tested
| Dataset | Subset | Status | Notes |
|---|
ai4bharat/indic-instruct-data-v0.1 | anudesh | Used | Primary dataset for demonstration |
ai4bharat/indic-instruct-data-v0.1 | lm_sys | Skipped | Too time-intensive for training & GPU constraints |
