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update model card README.md

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  tags:
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  - generated_from_trainer
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  model-index:
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  # QA_model
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- This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3301
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.1191 | 1.0 | 522 | 1.5923 |
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- | 1.2952 | 2.0 | 1044 | 1.4592 |
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- | 1.0273 | 3.0 | 1566 | 1.4694 |
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  ### Framework versions
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  - Transformers 4.26.1
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  - Pytorch 1.13.1+cu116
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- - Datasets 2.10.0
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  - Tokenizers 0.13.2
 
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+ license: mit
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # QA_model
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+ This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2469
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.4142 | 1.0 | 617 | 1.4330 |
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+ | 1.3597 | 2.0 | 1234 | 1.2957 |
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+ | 1.0469 | 3.0 | 1851 | 1.3110 |
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  ### Framework versions
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  - Transformers 4.26.1
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  - Pytorch 1.13.1+cu116
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+ - Datasets 2.10.1
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  - Tokenizers 0.13.2