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@@ -15,7 +15,7 @@ metrics:
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  - chrf
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  ---
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- # 🏔️ DevLake: M2M-100 (418M) for Russian-Bashkir
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  <div align="center">
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@@ -34,7 +34,7 @@ This is the **Medium-sized** model from the **DevLake** submission for LoResMT 2
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  - **Score:** 48.80 CHRF++
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  - **Code:** [GitHub Repository](https://github.com/Voldisoriginal/LoResMT-2026-Russian-Bashkir)
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- ## 🚀 Usage
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  ```python
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  import torch
@@ -65,15 +65,22 @@ with torch.no_grad():
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  print(tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0])
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  ```
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- ## 🛠️ Training Details
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  - **Hardware:** Trained on a single NVIDIA RTX 3080.
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- ## 📚 Citation
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  ```bibtex
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- @article{devlake2026loresmt,
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- title={DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation},
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- author={DevLake Team},
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- year={2026}
 
 
 
 
 
 
 
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  }
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  ```
 
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  - chrf
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  ---
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+ # DevLake: M2M-100 (418M) for Russian-Bashkir
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  <div align="center">
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  - **Score:** 48.80 CHRF++
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  - **Code:** [GitHub Repository](https://github.com/Voldisoriginal/LoResMT-2026-Russian-Bashkir)
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+ ## Usage
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  ```python
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  import torch
 
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  print(tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0])
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  ```
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+ ## Training Details
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  - **Hardware:** Trained on a single NVIDIA RTX 3080.
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+ ## Citation
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  ```bibtex
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+ @inproceedings{tyurin-2026-devlake,
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+ title = "{D}ev{L}ake at {L}o{R}es{MT} 2026: The Impact of Pre-training and Model Scale on {R}ussian-{B}ashkir Low-Resource Translation",
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+ author = "Tyurin, Vyacheslav",
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+ booktitle = "Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)",
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+ month = mar,
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+ year = "2026",
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+ address = "Rabat, Morocco",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2026.loresmt-1.18",
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+ doi = "10.18653/v1/2026.loresmt-1.18",
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+ pages = "209--212",
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  }
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  ```