Deep Learning -Sequence Input Regression Output does not train correctly

My deeplearning network design (Which was the recommended design in mathworks for sequence input and regression output) provides the following results. The training time takes seconds. Prior to this I was using the same data on a multi level deeplearning network desing based on matrix calculations, that time the training was taking days. Where I am doing wrong?

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| Epoch | Iteration | Time Elapsed | Mini-batch | Mini-batch | Base Learning |

| | | (hh:mm:ss) | RMSE | Loss | Rate |

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| 1 | 1 | 00:00:01 | 0.59 | 0.2 | 0.0100 |

| 50 | 50 | 00:00:04 | NaN | NaN | 0.0100 |

| 100 | 100 | 00:00:07 | NaN | NaN | 0.0100 |

| 150 | 150 | 00:00:10 | NaN | NaN | 0.0100 |

| 200 | 200 | 00:00:13 | NaN | NaN | 0.0100 |

| 250 | 250 | 00:00:16 | NaN | NaN | 0.0100 |

| 300 | 300 | 00:00:19 | NaN | NaN | 0.0100 |

| 350 | 350 | 00:00:23 | NaN | NaN | 0.0100 |

| 400 | 400 | 00:00:26 | NaN | NaN | 0.0100 |

|========================================================================================|

>> Train_Network_From_Designer