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

It seems like you are encountering issues with your model training. Here are some steps you can take to debug the problem:

1. Check your data: Make sure that your data is properly formatted and preprocessed. Ensure that there are no missing values or outliers that may be affecting your model training.

2. Verify your model architecture: Ensure that your model architecture is appropriate for the task at hand. Check that the number of layers, nodes, and activation functions are set correctly.

3. Adjust your hyperparameters: Try experimenting with different values for your learning rate, batch size, and number of epochs. These can have a significant impact on your model's performance.

4. Implement regularization techniques: Regularization techniques like dropout or L2 regularization can help prevent overfitting and improve your model's performance.

5. Use pre-trained models: Consider using pre-trained models as a starting point for your training. These models have already been trained on large datasets and can provide a strong foundation for your own model.

By following these steps, you should be able to identify and resolve any issues with your model training. Good luck!