energy_star/t5_question_answering.yaml (27 lines of code) (raw):

defaults: - benchmark - backend: pytorch - launcher: process - scenario: energy_star - _base_ - _self_ name: question_answering_t5 launcher: device_isolation: true device_isolation_action: warn backend: device: cuda device_ids: 0 no_weights: true model: google-t5/t5-large task: text2text-generation scenario: dataset_name: EnergyStarAI/extractive_qa question_column_name: question context_column_name: context dataset_prefix1: "question: " dataset_prefix2: " context: " t5_task: question_answering num_samples: 1000 input_shapes: batch_size: 1