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README.md
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---
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language:
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- ru
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- en
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- fr
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- it
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- cc-by-nc-sa
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---
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XLMRoberta-based classifier trained on XFORMAL
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all
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| macro avg | 0.785587 | 0.753933 | 0.753081 | 40960 |
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| weighted avg | 0.781743 | 0.762646 | 0.755826 | 40960 |
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| | precision | recall | f1-score | support |
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|--------------|-----------|----------|----------|---------|
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| 0 | 0.741333 | 0.926500 | 0.823638 | 21211 |
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| 1 | 0.888667 | 0.644733 | 0.747298 | 19301 |
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| accuracy | | | 0.792259 | 40512 |
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| macro avg | 0.815000 | 0.785617 | 0.785468 | 40512 |
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| weighted avg | 0.811527 | 0.792259 | 0.787267 | 40512 |
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## How to use
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```python
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from transformers import XLMRobertaTokenizerFast, XLMRobertaForSequenceClassification
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---
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language:
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- en
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- fr
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- it
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- cc-by-nc-sa
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---
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XLMRoberta-based classifier trained on XFORMAL.
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all
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| 66 |
| macro avg | 0.785587 | 0.753933 | 0.753081 | 40960 |
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| weighted avg | 0.781743 | 0.762646 | 0.755826 | 40960 |
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## How to use
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```python
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from transformers import XLMRobertaTokenizerFast, XLMRobertaForSequenceClassification
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