Update README.md

README.md

@@ -31,7 +31,7 @@ The model has been further trained (finetuned) on the training set of the EDANSA
 The EDANSA2019 dataset was resampled to 32kHz, as this was the sampling rate of AudioSet, where the model was originally trained on. Log mel spectrograms were then extracted using torchlibrosa using the parameters that the upstream model was trained on.
 
 ### Training process
-The model has been trained for 30 epochs. At the end of each epoch, the model was evaluated on the official validation set. We release the state that achieved the best performance on this validation set.
+The model has been trained for 30 epochs. At the end of each epoch, the model was evaluated on the official validation set. We release the state that achieved the best performance on this validation set. All training hyperparameters can be found inside `conf/config.yaml` inside the model folder.
 
 ### Evaluation
 The model has only been evaluated on in-domain data. The performance on the official test set reached a 0.9 (weighted) f1-score.