Update README.md

README.md

@@ -40,15 +40,14 @@ We thank the following projects for providing the training data:
 We use Weights & Biases for hyperparameter optimization with a random search strategy (10 folds), aiming to maximize the evaluation F1 score (eval_f1). 
 
 The search space includes:
-
-Learning Rate: Sampled uniformly between 1e-6 and 1e-4 \
-Weight Decay: One of [0.1, 0.01, 0.001] \
-Number of Training Epochs: One of [3, 4, 5, 6] \
-
-For the final training of this model, the hyperparameters were: \
-Learning Rate: 9.889410158465026e-05 \
-Weight Decay: 0.1 \
-Number of Training Epochs: 5 \
+- Learning Rate: Sampled uniformly between 1e-6 and 1e-4
+- Weight Decay: One of [0.1, 0.01, 0.001]
+- Number of Training Epochs: One of [3, 4, 5, 6]
+
+For the final training of this model, the hyperparameters were: 
+- Learning Rate: 9.889410158465026e-05
+- Weight Decay: 0.1
+- Number of Training Epochs: 5