Update README.md

README.md

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 Multi-Label Text classification model used to decode if passages contain a misfortunate event, a cause for misfortune, and/or an action to mollify or prevent some misfortune. Note that at this moment, some labels have been excluded as they are not relevant for the final use of the model
 8293 passages were used for Training and split into 5 folds (~6634 for train set, ~1659 for validation set over 5 folds). Although multiple parameters were tested, the current model uses:
-learning rate: 2e-5 
-weight decay: .01
-Dropout: .1
-Batch Size: 8
-Epochs: 15 (epoch 13 used here)
-The current F1 micro score of 2074 passages not used for training is .637. individual class f1 scores shown below. 
+<br>learning rate: 2e-5 
+<br>weight decay: .01
+<br>Dropout: .1
+<br>Batch Size: 8
+<br>Epochs: 15 (epoch 13 used here)
+<br><br>The current F1 micro score of 2074 passages not used for training is .637. individual class f1 scores shown below. 
 <ul>
   <li>EVENT:  -
     <ul>