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README.md
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@@ -29,6 +29,7 @@ SambaLingo-Bulgarian-Base is a pretrained Bi-lingual Bulgarian and English model
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- **Language(s):** Bulgarian, English
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- **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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- **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
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- **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
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## Getting Started
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We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
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## Evaluation
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| Perplexity (Lower Is Better) | **1.416** | 1.755 | 2.051 | 1.502 | 1.889 |
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| FLORES en->bg (8 shot, CHRF) | **0.558** | 0.143 | 0.211 | 0.484 | 0.136 |
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| FLORES bg->en (8 shot, CHRF) | **0.621** | 0.227 | 0.182 | 0.347 | 0.145 |
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| FLORES en->bg (8 shot, BLEU) | **0.275** | 0.006 | 0.006 | 0.093 | 0.005 |
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| FLORES bg->en (8 shot, BLEU) | **0.340** | 0.024 | 0.018 | 0.210 | 0.006 |
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| Belebele (3 shot) | **48.56%** | 21.22% | 24.22% | 25.89% | 25.33% |
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| SIB-200 (3 shot) | 61.27% | 42.65% | 37.25% | **64.71%** | 41.67% |
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| XNLI (0 shot) | 42.83% | 33.75% | 39.38% | 44.91% | **45.83%** |
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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## Cite SambaLingo
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```
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@
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}
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```
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- **Language(s):** Bulgarian, English
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- **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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- **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
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- **Paper:** [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
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- **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
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## Getting Started
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We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
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## Evaluation
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For evaluation results see our paper: [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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## Cite SambaLingo
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```
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@misc{csaki2024sambalingo,
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title={SambaLingo: Teaching Large Language Models New Languages},
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author={Zoltan Csaki and Bo Li and Jonathan Li and Qiantong Xu and Pian Pawakapan and Leon Zhang and Yun Du and Hengyu Zhao and Changran Hu and Urmish Thakker},
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year={2024},
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eprint={2404.05829},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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