It seems like you are trying to push commits to a repository with an email address that is not registered with your Git account. You can only push commits that were committed with your registered email. You may need to update your Git configuration to use the correct email address 如何处理

这个问题的解决方法是更新你的 Git 配置，使用正确的注册邮件地址。你可以使用以下命令检查当前 Git 配置的邮件地址：

git config user.email

如果这个命令返回的邮件地址不是你注册的地址，你可以使用以下命令更新 Git 配置的邮件地址：

git config --global user.email "your_registered_email@example.com"

确保将 "your_registered_email@example.com" 替换为你注册的邮件地址。更新完成后，你应该可以推送你的提交到仓库了。

相关问题

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!

ValueError: You are trying to load a weight file containing 131 layers into a model with 115 layers.

This error occurs when you are trying to load a weight file that was trained on a model with a different number of layers than the one you are currently using.

To fix this error, you need to make sure that the weight file you are using matches the architecture of your current model. This can be done by either modifying your model to match the number of layers in the weight file or by finding a weight file that matches your model architecture.

If you choose to modify your model, you will need to add or remove layers to match the number of layers in the weight file. Once your model architecture matches the weight file, you should be able to load the weights without any issues.

Alternatively, if you choose to find a weight file that matches your current model architecture, you can search for a pre-trained model that has the same number of layers as your current model. This will ensure that the weights are compatible with your model and can be loaded without any errors.