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README.md
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@@ -41,13 +41,13 @@ We fine-tuned TrelBERT to [KLEJ benchmark](klejbenchmark.com) tasks and achieved
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|NKJP-NER|94.4|
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|CDSC-E|93.9|
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|CDSC-R|93.6|
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|CBD|
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|PolEmo2.0-IN|89.3|
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|PolEmo2.0-OUT|78.1|
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|DYK|67.4|
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|PSC|95.7|
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|AR|86.1|
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|__avg__|__86.
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For fine-tuning to KLEJ tasks we used [Polish RoBERTa](https://github.com/sdadas/polish-roberta) scripts, which we modified to use `transformers` library. In the CBD task, we set the maximum sequence length to 128 and implemented the same preprocessing procedure as in the MLM phase.
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| 41 |
|NKJP-NER|94.4|
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| 42 |
|CDSC-E|93.9|
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| 43 |
|CDSC-R|93.6|
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| 44 |
+
|CBD|76.1|
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|PolEmo2.0-IN|89.3|
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| 46 |
|PolEmo2.0-OUT|78.1|
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| 47 |
|DYK|67.4|
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| 48 |
|PSC|95.7|
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| 49 |
|AR|86.1|
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| 50 |
+
|__avg__|__86.1__|
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| 51 |
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| 52 |
For fine-tuning to KLEJ tasks we used [Polish RoBERTa](https://github.com/sdadas/polish-roberta) scripts, which we modified to use `transformers` library. In the CBD task, we set the maximum sequence length to 128 and implemented the same preprocessing procedure as in the MLM phase.
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