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README.md

@@ -1,17 +1,18 @@
+
 ---
-datasets:
-- tyqiangz/multilingual-sentiments
 language:
 - en
 - ms
 - zh
-license: apache-2.0
-metrics:
-- accuracy
 tags:
 - sentiment-analysis
 - text-classification
 - multilingual
+license: apache-2.0
+datasets:
+- tyqiangz/multilingual-sentiments
+metrics:
+- accuracy
 model-index:
 - name: xlm-roberta-base-sentiment-multilingual-finetuned
   results:
@@ -19,11 +20,11 @@ model-index:
       type: text-classification
       name: Text Classification
     dataset:
-      name: Multilingual Sentiments
       type: tyqiangz/multilingual-sentiments
+      name: Multilingual Sentiments
     metrics:
     - type: accuracy
-      value: 0.7737435897435897
+      value: 0.7737435897435897  # Replace with your model's accuracy
 ---
 
 # xlm-roberta-base-sentiment-multilingual-finetuned
@@ -42,7 +43,7 @@ The model was trained and evaluated on the [tyqiangz/multilingual-sentiments](ht
 
 ## Training procedure
 
-The model was fine-tuned using the Hugging Face Transformers library. 
+The model was fine-tuned using the Hugging Face Transformers library.
 
 training_args = TrainingArguments(
     output_dir="./results",