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

It seems that you are encountering an issue with fitting your model. Here are some steps that you can take to try and debug the issue:

1. Check your data: Make sure that your data is properly formatted and that there are no missing or erroneous values. You can also try to visualize your data to see if there are any patterns or outliers that may be affecting your model.

2. Check your model architecture: Make sure that your model architecture is appropriate for your data and task. You can try adjusting the number of layers, neurons, and activation functions to see if this improves performance.

3. Check your hyperparameters: Hyperparameters such as learning rate, batch size, and regularization strength can greatly impact the performance of your model. Try tuning these hyperparameters to see if this improves your results.

4. Try a different algorithm: If you have tried all of the above and are still encountering issues, it may be worth trying a different algorithm or approach to solving your problem.

Remember to always keep track of your experiments and results so that you can iterate and improve upon your model.