Update README.md
Browse files
README.md
CHANGED
@@ -29,6 +29,7 @@ SambaLingo-Bulgarian-Base is a pretrained Bi-lingual Bulgarian and English model
|
|
29 |
- **Language(s):** Bulgarian, English
|
30 |
- **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
|
31 |
- **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
|
|
|
32 |
- **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
|
33 |
|
34 |
## Getting Started
|
@@ -54,16 +55,7 @@ All pre-training is done on the [Cultura-X](https://huggingface.co/datasets/uonl
|
|
54 |
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.
|
55 |
|
56 |
## Evaluation
|
57 |
-
|
58 |
-
|-------------------------------|---------------------|-----------|-----------|----------|--------|
|
59 |
-
| Perplexity (Lower Is Better) | **1.416** | 1.755 | 2.051 | 1.502 | 1.889 |
|
60 |
-
| FLORES en->bg (8 shot, CHRF) | **0.558** | 0.143 | 0.211 | 0.484 | 0.136 |
|
61 |
-
| FLORES bg->en (8 shot, CHRF) | **0.621** | 0.227 | 0.182 | 0.347 | 0.145 |
|
62 |
-
| FLORES en->bg (8 shot, BLEU) | **0.275** | 0.006 | 0.006 | 0.093 | 0.005 |
|
63 |
-
| FLORES bg->en (8 shot, BLEU) | **0.340** | 0.024 | 0.018 | 0.210 | 0.006 |
|
64 |
-
| Belebele (3 shot) | **48.56%** | 21.22% | 24.22% | 25.89% | 25.33% |
|
65 |
-
| SIB-200 (3 shot) | 61.27% | 42.65% | 37.25% | **64.71%** | 41.67% |
|
66 |
-
| XNLI (0 shot) | 42.83% | 33.75% | 39.38% | 44.91% | **45.83%** |
|
67 |
|
68 |
## Uses
|
69 |
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
@@ -107,12 +99,12 @@ We would like to give a special thanks to the following groups:
|
|
107 |
|
108 |
## Cite SambaLingo
|
109 |
```
|
110 |
-
@
|
111 |
-
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
116 |
-
|
117 |
}
|
118 |
```
|
|
|
29 |
- **Language(s):** Bulgarian, English
|
30 |
- **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
|
31 |
- **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
|
32 |
+
- **Paper:** [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
|
33 |
- **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
|
34 |
|
35 |
## Getting Started
|
|
|
55 |
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.
|
56 |
|
57 |
## Evaluation
|
58 |
+
For evaluation results see our paper: [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
59 |
|
60 |
## Uses
|
61 |
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
|
|
99 |
|
100 |
## Cite SambaLingo
|
101 |
```
|
102 |
+
@misc{csaki2024sambalingo,
|
103 |
+
title={SambaLingo: Teaching Large Language Models New Languages},
|
104 |
+
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},
|
105 |
+
year={2024},
|
106 |
+
eprint={2404.05829},
|
107 |
+
archivePrefix={arXiv},
|
108 |
+
primaryClass={cs.CL}
|
109 |
}
|
110 |
```
|