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

It sounds like you're having trouble with training a machine learning model. Here are some steps you can take to try and debug the issue:

1. Check your data: Ensure that your data is properly formatted and that there are no missing values or outliers that could be causing issues.

2. Check your model architecture: Make sure that your model's architecture is appropriate for the type of data you are working with. You may need to adjust the number of layers, nodes, or other hyperparameters.

3. Check your optimizer: Ensure that you are using the right optimizer for your model. Different optimizers work better for different types of problems, so you may need to experiment with different options.

4. Check your loss function: Your choice of loss function can also impact the performance of your model. Make sure that you are using an appropriate loss function for your problem.

5. Check your training parameters: Be sure to set your learning rate, batch size, and other parameters appropriately for your data and model architecture.

If you are still having issues, you can try printing out intermediate results during training to better understand where the issue is occurring. You can also try reducing the complexity of your model or increasing your training data to see if that helps.