Update README.md

README.md

@@ -46,7 +46,7 @@ classifier(sequence, candidate_labels, hypothesis_template=hypothesis_template)
 ```
 
 - As a premise/hypothesis checker : <br>
-The idea is here to compute a probability of the form \\(P(premise|hypothesis)\\)
+The idea is here to compute a probability of the form \\\\(P(premise|hypothesis)\\\\)
 
 ```python
 # load model and tokenizer
@@ -86,6 +86,7 @@ Main training parameters :
 - ```num_train_epochs = 4```
 - ```batch_size = 12``` (limited by GPU-memory)
 - ```weight_decay = 0.01```
+- ```metric_for_best_model = "eval_accuracy"```
 
 ## Eval results