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opus-mt-en-hi
betterthan/opus-mt-en-hi
opus-mt-en-hi is a machine learning model from betterthan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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.
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At a glance
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jul 3, 2025
- Updated
- Aug 2, 2026
- SHA
- b6c2442a
Base models
Datasets
Model card
From the Hugging Face model README
betterthan/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/samanantarEnglish–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 weightsconfig.json— model architecturetokenizer_config.json,vocab.json,source.spm,target.spm— tokenizergeneration_config.json— default decoding setup
⚖️ License
Apache 2.0 (Same as original model and Samanantar dataset)
- Type
- marian
- License
- apache-2.0
- Languages
- en, hi
- Created
- Jul 3, 2025
- Updated
- Aug 2, 2026