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README.md
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The same pipeline was run with two other transformer models and `fasttext` for comparison. Macro F1 scores were recorded for each of the 6 fine-tuning sessions and post festum analyzed.
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| model | average macro F1
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| bcms-bertic-parlasent-bcs-ter | 0.7941 ±0.0101 ** |
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| EMBEDDIA/crosloengual-bert | 0.7709 ± 0.0113
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| xlm-roberta-base | 0.7184 ± 0.0139
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| fasttext + CLARIN.si embeddings | 0.6312 ± 0.0043
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Two best performing models have been compared with the Mann-Whitney U test to calculate p-values (** denotes p<0.01).
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The same pipeline was run with two other transformer models and `fasttext` for comparison. Macro F1 scores were recorded for each of the 6 fine-tuning sessions and post festum analyzed.
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| model | average macro F1 |
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|---------------------------------|--------------------|
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| bcms-bertic-parlasent-bcs-ter | 0.7941 ± 0.0101 ** |
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| EMBEDDIA/crosloengual-bert | 0.7709 ± 0.0113 |
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| xlm-roberta-base | 0.7184 ± 0.0139 |
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| fasttext + CLARIN.si embeddings | 0.6312 ± 0.0043 |
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Two best performing models have been compared with the Mann-Whitney U test to calculate p-values (** denotes p<0.01).
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