Update README.md

README.md

@@ -20,6 +20,11 @@ The model predicts 2 signals of political toxicity:
 
 A value between 0 and 1 is predicted for each signal.
 
+### Intended uses & limitations 
+
+The model was created to be used as a toxicity detector of spanish tweets from Spanish Congress Deputies. If the intended use is other one, for instance; toxicity detection on films reviews, the results won't be reliable and you might look for another model with this concrete purpose.
+
+
 ### How to use
 
 The model can be used directly with a text-classification pipeline:
@@ -40,5 +45,6 @@ The pre-trained model was fine-tuned for sequence classification using the follo
 * Batch size = 32
 * Learning rate = 2e-5
 * Epochs = 5
+* Max length = 64
 
 The optimizer used was AdamW and the loss optimized was binary cross-entropy with class weights proportional to the class imbalance.