Add BenCzechMark blogpost #2382
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MFajcik
reviewed
Sep 30, 2024
MFajcik
reviewed
Sep 30, 2024
MFajcik
reviewed
Sep 30, 2024
MFajcik
reviewed
Sep 30, 2024
MFajcik
approved these changes
Oct 1, 2024
pcuenca
approved these changes
Oct 1, 2024
| - user: Lakoc | ||
| guest: true | ||
| org: BUT-FIT | ||
| - user: popelucha |
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Doesn't seem to be in the MU-NLPC org (not sure it matters)
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Yeah I know, but I guess (hope) it's fine
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| - *Qwen-72B* shone in Math and Information Retrieval but lagged behind similarly-sized models in other categories. | ||
| - *Aya-21-35B* model excels in Sentiment and Language Modeling, but similarly lags behind in different categories. | ||
| - *Gemma-2 9B* delivers excellent results in Czech reading comprehension, outperforming much larger models. |
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I suppose all these models were not fine-tuned for Czech, or were they? Were there any Czech-specific models you evaluated?
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Only 2 models were Czech specific; CSTinyLlama-1.2B and csmpt7b. In spite of the lack of official support, some multilingual perform very well in Czech.
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
MFajcik
reviewed
Oct 1, 2024
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
…feat/benczechmark
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Adds blogpost about a new czech evaluation suite called BenCzechMark.
Notes:
Just for review, I will merge it myself