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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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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 Classification |
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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 - 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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| Training Loss | Validation Loss | F1-Score | Roc Auc | Accuracy | Support | |
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|---------------|-----------------|----------|----------|----------|---------| |
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| 0.161500 | 0.110949 | 0.947844 | 0.953939 | 0.762063 | 26858 | |
