The second step is to upload your dataset to the fine tuning platform. This dataset should be specific to the task you want to fine-tune the model for.
Users need to choose a pre-trained language model as the starting point for fine-tuning.
Once you have selected a language model, you can start the fine tuning process. This process will involve training the model on your dataset.
During the fine tuning process, it is important to monitor the performance of the model.