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README.md

@@ -24,7 +24,7 @@ model-index:
 
     metrics:
     - type: accuracy
-      value: 0.7244
+      value:  0.7841 
 
 # xlm-roberta-base-sentiment-multilingual-finetuned
 
@@ -60,7 +60,7 @@ training_args = TrainingArguments(
 
 ## Evaluation results
 
-est results: {'eval_loss': 0.6420313119888306, 'eval_accuracy': 0.7243781094527363, 'eval_f1': 0.712778066703921, 'eval_precision': 0.7391632387942287, 'eval_recall': 0.7243781094527363, 'eval_runtime': 4.681, 'eval_samples_per_second': 214.696, 'eval_steps_per_second': 3.418, 'epoch': 2.0}
+Test results: {'eval_loss': 0.5505692958831787, 'eval_accuracy': 0.7840796019900498, 'eval_f1': 0.7831398165701241, 'eval_precision': 0.7831755325873082, 'eval_recall': 0.7840796019900498, 'eval_runtime': 4.2769, 'eval_samples_per_second': 234.982, 'eval_steps_per_second': 3.741, 'epoch': 2.0}
 
 ## Environmental impact