This warning message is just saying that some of the weights in the `roberta-base` model checkpoint are not being used by the `RobertaModel` that is being initialized. This is not necessarily a problem and can happen if the checkpoint was trained for a different task or if some layers were removed from the model. However, it may be a good idea to double check that the model is being initialized correctly and that the unused weights are not important for your particular task.
Thanks for the information. I will double check that the model is being initialized correctly and that the unused weights are not important for my particular task.
 Yes, that's correct. The warning message is saying that some of the weights in the `roberta-base` model checkpoint are not being used by the `RobertaModel` that is being initialized. This can happen due to several reasons:

1. The `roberta-base` checkpoint may have been trained for a different task than what you are using it for. For example, the checkpoint may have been trained for a classification task, but you are using it for a question-answering task. In this case, some of the weights that were used for the classification task may not be used in the question-answering task.
2. Some layers may have been removed from the model during the initialization process. For example, you may have removed the final classification layer of the model if you are using the model as a feature extractor. In this case, the weights of the removed layer will not be used.
3. Some weights may not be used due to the specific configuration of the `RobertaModel` that is being initialized. For example, you may have initialized the model with a smaller sequence length or batch size than what was used during the training of the `roberta-base` checkpoint. In this case, some of the weights that were used for longer sequences or larger batches may not be used.

While this warning message is not necessarily a problem, it is a