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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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1403
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- - F1: 0.8061
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  ## Model description
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@@ -51,15 +51,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 2458 | 0.1421 | 0.7883 |
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- | No log | 2.0 | 4916 | 0.1365 | 0.8004 |
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- | 0.1393 | 3.0 | 7375 | 0.1344 | 0.8129 |
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- | 0.1393 | 4.0 | 9832 | 0.1403 | 0.8061 |
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  ### Framework versions
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  - Transformers 4.27.0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1402
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+ - F1: 0.8089
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 2463 | 0.1446 | 0.7890 |
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+ | No log | 2.0 | 4926 | 0.1369 | 0.8034 |
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+ | 0.1387 | 3.0 | 7389 | 0.1382 | 0.8075 |
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+ | 0.1387 | 4.0 | 9852 | 0.1402 | 0.8089 |
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  ### Framework versions
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  - Transformers 4.27.0
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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  - Tokenizers 0.13.3