energy_star/t5_text_classification.yaml (29 lines of code) (raw):

defaults: - benchmark - backend: pytorch - launcher: process - scenario: energy_star - _base_ - _self_ name: text_classification_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/text_classification dataset_prefix1: "sst2 sentence: " t5_task: text_classification text_column_name: text num_samples: 1000 truncation: True input_shapes: batch_size: 1 generate_kwargs: max_new_tokens: 10 min_new_tokens: 10