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--- |
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language: |
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- ru |
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- uk |
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- be |
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- kk |
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- az |
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- hy |
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- ka |
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- he |
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- en |
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- de |
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tags: |
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- language classification |
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- text segmentation |
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datasets: |
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- open_subtitles |
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- tatoeba |
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- oscar |
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--- |
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# RoBERTa for Multilabel Language Segmentation |
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## Training |
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RoBERTa fine-tuned on small parts of Open Subtitles, Oscar and Tatoeba datasets (~9k samples per language). |
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Implemented heuristic algorithm for multilingual training data creation with generation of target masks- https://github.com/n1kstep/lang-classifier |
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| data source | language | |
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|-----------------|----------------| |
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| open_subtitles | ka, he, en, de | |
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| oscar | be, kk, az, hu | |
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| tatoeba | ru, uk | |
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## Validation |
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The metrics obtained from validation on the another part of dataset (~1k samples per language). |
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| Validation Loss | Precision | Recall | F1-Score | Accuracy | |
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|-----------------|-----------|----------|----------|----------| |
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| 0.029172 | 0.919623 | 0.933586 | 0.926552 | 0.991883 | |
