Update README.md

README.md

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 # XLM-RoBERTa-Large-PANX-WikiAnn-en
 
-The XLM-RoBERTa-Large model finetuned on the English split of the PAN-X (WikiAnn) dataset.
+The XLM-RoBERTa-Large model finetuned on the English split of the PAN-X (WikiAnn) dataset.
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the [google/xtreme](https://huggingface.co/datasets/google/xtreme) dataset (English split of the PAN-X).
+It achieves the following results on the evaluation set:
+- Loss: 0.2569
+- Precision: 0.8347
+- Recall: 0.8529
+- F1: 0.8437
+- Accuracy: 0.9357
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1