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language: |
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- uk |
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license: apache-2.0 |
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--- |
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# ukr-roberta-base |
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## Pre-training corpora |
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Below is the list of corpora used along with the output of wc command (counting lines, words and characters). These corpora were concatenated and tokenized with HuggingFace Roberta Tokenizer. |
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| Tables | Lines | Words | Characters | |
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| ------------- |--------------:| -----:| -----:| |
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| [Ukrainian Wikipedia - May 2020](https://dumps.wikimedia.org/ukwiki/latest/ukwiki-latest-pages-articles.xml.bz2) | 18 001 466| 201 207 739 | 2 647 891 947 | |
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| [Ukrainian OSCAR deduplicated dataset](https://oscar-public.huma-num.fr/shuffled/uk_dedup.txt.gz) | 56 560 011 | 2 250 210 650 | 29 705 050 592 | |
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| Sampled mentions from social networks | 11 245 710 | 128 461 796 | 1 632 567 763 | |
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| Total | 85 807 187 | 2 579 880 185 | 33 985 510 302 | |
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## Pre-training details |
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* Ukrainian Roberta was trained with code provided in [HuggingFace tutorial](https://huggingface.co/blog/how-to-train) |
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* Currently released model follows roberta-base-cased model architecture (12-layer, 768-hidden, 12-heads, 125M parameters) |
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* The model was trained on 4xV100 (85 hours) |
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* Training configuration you can find in the [original repository](https://github.com/youscan/language-models) |
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## Author |
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Vitalii Radchenko - contact me on Twitter [@vitaliradchenko](https://twitter.com/vitaliradchenko) |
