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

Based on the information you provided, it seems like you are facing an issue with training your machine learning model. Here are some suggestions to help you debug the issue:

1. Check your data: Make sure your data is properly formatted and preprocessed. You can try visualizing your data to get a better understanding of it.

2. Check your model architecture: Make sure your model architecture is appropriate for the task you are trying to solve. You can try adjusting the number of layers, the size of the layers, or the activation functions to improve performance.

3. Check your hyperparameters: Hyperparameters are adjustable settings that can significantly impact the performance of your model. Try adjusting the learning rate, batch size, or regularization parameters to see if it improves performance.

4. Check your loss function: Your loss function determines how your model is optimized during training. Make sure you are using an appropriate loss function for your task.

5. Try using a pre-trained model: If you are still having difficulty training your model, consider using a pre-trained model and fine-tuning it for your specific task. This can save time and improve performance.

I hope these suggestions help you debug the issue with your model!