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Add some details to README file

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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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  # xlm-roberta-base-language-detection
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0103
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- - Accuracy: 0.9977
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- - F1: 0.9977
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- ## Model description
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-
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- More information needed
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  ## Intended uses & limitations
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- More information needed
 
 
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  ## Training and evaluation data
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- More information needed
 
 
 
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  ## Training procedure
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  results: []
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  ---
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  # xlm-roberta-base-language-detection
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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+ You can directly use this model as a language detector, i.e. for sequence classification tasks. Currently, it supports the following 20 languages:
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+ `arabic (ar), bulgarian (bg), german (de), modern greek (el), english (en), spanish (es), french (fr), hindi (hi), italian (it), japanese (ja), dutch (nl), polish (pl), portuguese (pt), russian (ru), swahili (sw), thai (th), turkish (tr), urdu (ur), vietnamese (vi), and chinese (zh)`
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  ## Training and evaluation data
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0103
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+ - Accuracy: 0.9977
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+ - F1: 0.9977
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  ## Training procedure
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