All the 5 fits failed. It is very likely that your model is misconfigured. You can try to debug the ...

This error message suggests that there may be an issue with the configuration of your model. Here are some steps you can take to try and debug the issue:

1. Check your input data: Ensure that your input data is properly formatted and preprocessed. Make sure that the dimensions of your input data match the input shape of your model.

2. Check your model architecture: Double-check that your model architecture is correct and matches the problem you are trying to solve. Make sure that you have the correct number of layers and neurons, and that you are using the correct activation functions.

3. Experiment with different hyperparameters: Try changing the learning rate, batch size, number of epochs, and other hyperparameters to see if that resolves the issue.

4. Check for overfitting: If your model is overfitting, then it may not generalize well to new data. Try using techniques such as dropout or regularization to prevent overfitting.

5. Use a pre-trained model: If you're still having trouble, consider using a pre-trained model that has been proven to work well on similar problems. This can be a good starting point for your own model.

Remember that debugging a machine learning model can be a time-consuming process, so be patient and try different approaches until you find a solution that works.