command: - python3 - ${program} - --streaming - ${args} method: grid metric: goal: minimize name: tedlium-long-form/validation/wer parameters: model_name_or_path: value: sanchit-gandhi/large-32-2-ts-freeze-28k-wer-10 subfolder: value: checkpoint-15000 dataset_name: value: distil-whisper/tedlium-long-form dataset_config_name: value: all dataset_split_name: value: validation cache_dir: value: /home/sanchitgandhi/.cache dataset_cache_dir: value: /home/sanchitgandhi/.cache output_dir: value: ./ wandb_dir: value: /home/sanchitgandhi/.cache per_device_eval_batch_size: value: 32 dtype: value: bfloat16 report_to: value: wandb generation_num_beams: value: 5 generation_max_length: value: 256 length_penalty: values: - 0.6 - 0.8 - 1.0 - 1.2 - 1.4 program: run_long_form_transcription.py project: distil-whisper-long-form