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
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Oct 1, 2024
pcuenca
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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 <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
MFajcik
reviewed
Oct 1, 2024
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
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This was referenced May 28, 2025
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Adds blogpost about a new czech evaluation suite called BenCzechMark.
Notes:
Just for review, I will merge it myself