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@@ -46,7 +46,7 @@ We evaluate 42dot-PLM on a variety of academic benchmarks both on Korean and Eng
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  #### Korean (KOBEST)
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  <figure align="center">
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- <img src="https://huggingface.co/42dot/42dot-plm-1.3b/resolve/main/assets/plm_benchmark_ko.png" width="90%" height="90%"/>
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  </figure>
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  |Tasks / Macro-F1|[KoGPT2](https://github.com/SKT-AI/KoGPT2) <br>1.2B|[Polyglot-Ko](https://github.com/EleutherAI/polyglot) <br>1.3B|[XGLM](https://huggingface.co/facebook/xglm-1.7B) <br>1.7B|[PolyLM](https://huggingface.co/DAMO-NLP-MT/polylm-1.7b) <br>1.7B|42dot-PLM <br>1.3B ko-en|
@@ -61,7 +61,7 @@ We evaluate 42dot-PLM on a variety of academic benchmarks both on Korean and Eng
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  #### English
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  <figure align="center">
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- <img src="https://huggingface.co/42dot/42dot-plm-1.3b/resolve/main/assets/plm_benchmark_en.png" width="90%" height="90%"/>
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  </figure>
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  | Tasks / Metric | [MPT](https://huggingface.co/mosaicml/mpt-1b-redpajama-200b) <br>1B | [OPT](https://huggingface.co/facebook/opt-1.3b) <br>1.3B | XGLM <br>1.7B | PolyLM <br>1.7B | 42dot-PLM <br>1.3B ko-en |
 
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  #### Korean (KOBEST)
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  <figure align="center">
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+ <img src="https://huggingface.co/42dot/42dot-plm-1.3b/resolve/main/asset/plm_benchmark_ko.png" width="90%" height="90%"/>
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  </figure>
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  |Tasks / Macro-F1|[KoGPT2](https://github.com/SKT-AI/KoGPT2) <br>1.2B|[Polyglot-Ko](https://github.com/EleutherAI/polyglot) <br>1.3B|[XGLM](https://huggingface.co/facebook/xglm-1.7B) <br>1.7B|[PolyLM](https://huggingface.co/DAMO-NLP-MT/polylm-1.7b) <br>1.7B|42dot-PLM <br>1.3B ko-en|
 
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  #### English
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  <figure align="center">
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+ <img src="https://huggingface.co/42dot/42dot-plm-1.3b/resolve/main/asset/plm_benchmark_en.png" width="90%" height="90%"/>
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  </figure>
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  | Tasks / Metric | [MPT](https://huggingface.co/mosaicml/mpt-1b-redpajama-200b) <br>1B | [OPT](https://huggingface.co/facebook/opt-1.3b) <br>1.3B | XGLM <br>1.7B | PolyLM <br>1.7B | 42dot-PLM <br>1.3B ko-en |