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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4141
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  ## Model description
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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: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.1571 | 1.0 | 549 | 1.5589 |
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- | 1.0332 | 2.0 | 1098 | 1.3945 |
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- | 0.8381 | 3.0 | 1647 | 1.4141 |
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6000
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  ## Model description
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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: 15
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+ - eval_batch_size: 15
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 268 | 1.8728 |
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+ | 2.5088 | 2.0 | 536 | 1.6342 |
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+ | 2.5088 | 3.0 | 804 | 1.6000 |
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  ### Framework versions