Update README.md

README.md

@@ -13,4 +13,47 @@ datasets:
 language:
 - en
 pipeline_tag: token-classification
----
+---
+## NER-Advance
+This model is a fine-tuned version of xlm-roberta-base on an unimelb-nlp/wikiann dataset. It achieves the following results on the evaluation set:
+
+• Loss: 0.27204614877700806
+
+• F1: 0.9195951994165037
+
+## Training hyperparameters
+
+The following hyperparameters were used during training:
+
+• learning_rate: 2e-5
+
+• train_batch_size: 24
+
+• eval_batch_size: 24
+
+• seed: 42
+
+• weight_decay=0.01
+
+• lr_scheduler_type: linear
+
+• warmup_ratio=0.1
+
+• num_epochs: 2
+
+## Training results
+
+# Training Loss  |  Epoch  |	Validation Loss  |  F1
+    0.2895	         1.0		     0.3054	       0.8916
+
+    0.2422	         2.0		     0.2720	       0.9195
+
+## Framework versions
+
+• Transformers 4.38.2
+
+• Pytorch 2.2.1+cu121
+
+• Datasets 2.18.0
+
+• Tokenizers 0.15.2