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

It's possible that there's an issue with the configuration of your model architecture or hyperparameters. Here are some steps you can take to try and debug the issue:

1. Check your input data: Make sure that your data is properly preprocessed and formatted for your model. For example, if you're using images, ensure that they are correctly resized and normalized. If you're using text, make sure that it's properly tokenized and encoded.

2. Check your architecture: Review your model architecture to ensure that it's well-suited for your problem. You might need to adjust the number of layers, units per layer, or activation functions.

3. Adjust your hyperparameters: Experiment with different learning rates, batch sizes, and regularization techniques. It's possible that your model is overfitting or underfitting the data.

4. Use a smaller dataset: If your dataset is very large, try using a smaller subset of the data to train your model. This can help you quickly identify issues with your model.

5. Use a pre-trained model: Consider using a pre-trained model as a starting point. This can help you avoid some of the common pitfalls associated with building a model from scratch.

If none of these steps solve the issue, you may need to seek additional guidance from a machine learning expert.