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update model card README.md

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@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [cahya/xlm-roberta-base-indonesian-NER](https://huggingface.co/cahya/xlm-roberta-base-indonesian-NER) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1412
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- - Precision: 0.8542
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- - Recall: 0.9047
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- - F1: 0.8787
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- - Accuracy: 0.9589
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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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- | No log | 1.0 | 120 | 0.1804 | 0.7482 | 0.8497 | 0.7957 | 0.9347 |
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- | No log | 2.0 | 240 | 0.1412 | 0.8542 | 0.9047 | 0.8787 | 0.9589 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [cahya/xlm-roberta-base-indonesian-NER](https://huggingface.co/cahya/xlm-roberta-base-indonesian-NER) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1480
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+ - Precision: 0.8193
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+ - Recall: 0.8765
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+ - F1: 0.8470
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+ - Accuracy: 0.9521
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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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+ | No log | 1.0 | 120 | 0.1731 | 0.7970 | 0.8644 | 0.8294 | 0.9441 |
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+ | No log | 2.0 | 240 | 0.1480 | 0.8193 | 0.8765 | 0.8470 | 0.9521 |
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  ### Framework versions