How to interpret this Plot of Model Loss from a BiLSTM model?
It looks like your train/val loss curves have a very large generalisation gap, which suggests that your model is overfitting. THis simply means it does a great job making predictions for the training set but a terrible one for your validation set. This appears to be the case even in early epochs, since valid loss appears to never improve.
I see you have shuffle set to False. Is that related to shuffling datapoints in the batches? The unfortunate behaviour in training may as well trace back to the train and validation sets being very different. I suggest

stratified train/val split
QA your train and val sets (e.g. class ratio in each set)
shuffle datapoints in your batches