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

It seems like you're encountering issues with training your model. Here are a few suggestions that might help you debug the problem:

1. Check your data: Make sure that your data is correctly formatted and preprocessed. Sometimes, errors can occur if your data is not correctly loaded or processed before training.

2. Check your model architecture: Ensure that your model architecture is appropriate for your task. Make sure that you're using the correct number of layers, nodes, and activation functions.

3. Check your hyperparameters: Check if the learning rate, batch size, and number of epochs are appropriate for your task. Adjusting these can improve the performance of your model.

4. Check for overfitting: Overfitting occurs when your model is too complex and learns the training data too well. You can check for overfitting by monitoring the training and validation loss. If the training loss is much lower than the validation loss, your model may be overfitting.

5. Try different initialization methods: The weights of neural networks are usually initialized randomly. Sometimes, choosing a different initialization method can help your model converge faster or more accurately.

I hope these suggestions help you. Good luck with your model training!