Update Model Card

README.md

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   results: []
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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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 # xlm-roberta-base-finetuned-panx-en
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base).
 It achieves the following results on the evaluation set:
 - Loss: 0.3905
 - F1 Score: 0.6861
 
 ## Model description
 
-More information needed
+This model is a fine-tuned version of xlm-roberta-base on the English subset of the PAN-X dataset for Named Entity Recognition (NER). The model has been fine-tuned to perform token classification tasks and is evaluated on its performance in identifying named entities in English text.
 
 ## Intended uses & limitations
 
-More information needed
+### Intended uses:
+
+Named Entity Recognition (NER) tasks specifically for English.
+Token classification tasks involving English text.
+
+### Limitations:
+
+The model's performance is optimized for English and may not generalize well to other languages without further fine-tuning.
+The model's predictions are based on the data it was trained on and may not handle out-of-domain data as effectively.d
 
 ## Training and evaluation data
 
-More information needed
+The model was fine-tuned on the English subset of the PAN-X dataset, which includes labeled examples of named entities in English text. The evaluation data is a separate portion of the same dataset, used to assess the model's performance
 
 ## Training procedure