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update model card README.md

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@@ -16,8 +16,8 @@ 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: 1.2251
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- - Accuracy: 0.4564
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-06
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.444 | 1.0 | 438 | 1.4079 | 0.3703 |
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- | 1.2567 | 2.0 | 876 | 1.2617 | 0.4430 |
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- | 1.2071 | 3.0 | 1314 | 1.2251 | 0.4564 |
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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: 1.0999
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+ - Accuracy: 0.5436
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9382 | 1.0 | 438 | 1.1474 | 0.5036 |
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+ | 0.8066 | 2.0 | 876 | 1.0999 | 0.5436 |
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+ | 0.6462 | 3.0 | 1314 | 1.2079 | 0.5413 |
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  ### Framework versions