Pankaj8922/better-opus-mt-en-hi

Fine-tuned MarianMT model for English → Hindi translation. This model is trained on AI4Bharat's Samanantar dataset, which contains over 10 million high-quality parallel sentences.

🔍 Model Details

• Base model: Helsinki-NLP/opus-mt-en-hi
• Fine-tuned on: ai4bharat/samanantar English–Hindi subset
• Total params: ~77M (MarianMT)
• Framework: Hugging Face Transformers

📊 Performance (BLEU / chrF on 500 samples from Namratap/En-Hindi)

Domain	Base BLEU	Fine-tuned BLEU	Base chrF	Fine-tuned chrF
Healthcare	15.54	27.95	38.06	54.09
Gen News	14.11	26.31	39.07	52.98
Culture/Tourism	12.76	18.49	35.07	41.32
Education	20.28	28.82	43.84	49.68

✅ BLEU improvements of +8 to +13 points across domains
✅ chrF boosts up to +16 points, reflecting better fluency and coverage

🧠 Use Cases

• Book and news translation (Hindi)
• Offline/secure translation pipelines
• Domain-adapted fine-tuning

📁 Files Included

• pytorch_model.bin — fine-tuned model weights
• config.json — model architecture
• tokenizer_config.json, vocab.json, source.spm, target.spm — tokenizer
• generation_config.json — default decoding setup

⚖️ License

Apache 2.0 (Same as original model and Samanantar dataset)