Update README.md

README.md

@@ -37,7 +37,7 @@ This model was trained on the MultiNLI dataset, which consists of 392 702 NLI hy
 DeBERTa-v3-base-mnli was trained using the Hugging Face trainer with the following hyperparameters.
 ```
 training_args = TrainingArguments(
-    num_train_epochs=3,              # total number of training epochs
+    num_train_epochs=5,              # total number of training epochs
     learning_rate=2e-05,
     per_device_train_batch_size=32,   # batch size per device during training
     per_device_eval_batch_size=32,    # batch size for evaluation
@@ -47,10 +47,8 @@ training_args = TrainingArguments(
 )
 ```
 ### Eval results
-The model was evaluated using the matched test set. The metric used is accuracy.
-mnli-m |
----------|
-0.90 
+The model was evaluated using the matched test set and achieves 0.90 accuracy.
+
 ## Limitations and bias
 Please consult the original DeBERTa paper and literature on different NLI datasets for potential biases. 
 ### BibTeX entry and citation info