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Update README.md

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@@ -35,12 +35,14 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9424682155180856
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # xlm-roberta-base-finetuned-ner
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wikiann dataset.
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  It achieves the following results on the evaluation set:
@@ -89,4 +91,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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- - Tokenizers 0.15.0
 
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  - name: Accuracy
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  type: accuracy
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  value: 0.9424682155180856
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+ language:
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+ - ka
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # xlm-roberta-base-ka-ner
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wikiann dataset.
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  It achieves the following results on the evaluation set:
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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+ - Tokenizers 0.15.0