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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1595
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- - Precision: 0.6419
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- - Recall: 0.4247
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- - F1: 0.5112
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- - Accuracy: 0.9535
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1741 | 1.0 | 2624 | 0.1644 | 0.6170 | 0.3610 | 0.4555 | 0.9501 |
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- | 0.153 | 2.0 | 5248 | 0.1567 | 0.6405 | 0.4049 | 0.4961 | 0.9527 |
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- | 0.1258 | 3.0 | 7872 | 0.1595 | 0.6419 | 0.4247 | 0.5112 | 0.9535 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1505
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+ - Precision: 0.6680
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+ - Recall: 0.4474
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+ - F1: 0.5359
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+ - Accuracy: 0.9557
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1683 | 1.0 | 2624 | 0.1589 | 0.6480 | 0.3641 | 0.4663 | 0.9513 |
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+ | 0.1446 | 2.0 | 5248 | 0.1509 | 0.6658 | 0.4147 | 0.5111 | 0.9543 |
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+ | 0.1163 | 3.0 | 7872 | 0.1505 | 0.6680 | 0.4474 | 0.5359 | 0.9557 |
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  ### Framework versions