recurrent neural networks output[epoch - train loss train predicted correct train denom percaccuracy valid loss valid predicted correct val denom percaccuracy epoch - train loss train predicted correct train denom percaccuracy valid loss valid predicted correct val denom percaccuracy epoch - train loss train predicted correct train denom percaccuracy valid loss valid predicted correct val denom percaccuracy epoch - train loss train predicted correct train denom percaccuracy valid loss valid predicted correct val denom percaccuracy epoch - train loss train predicted correct train denom percaccuracy valid loss valid predicted correct val denom percaccuracy we can see that model barely improved in performance although five epochs are actually too fewwe should have seen small changes the overall accuracy hasn' really added any value from the model the performance is poor to improve our resultswe will take more holistic approach in our second experiment