Fine-tuning the model using classification tasks
Hello All,

Could anyone tell how can I fine-tune the language model using classification tasks, however not using any GLUE data, as I have my own custom dataset?
Is there any solution and/or method to do the classification using a custom dataset?
Hi, the `run_glue` example script was designed to showcase how to fine-tune any model to a classification task. It showcases many things you maybe don't need, such as data-parallel, checkpointing, half-precision, etc. You can adapt this script or study the training loop to create your own.<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
