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command:
- python3
- ${program}
- --streaming
- --do_sample
- ${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: 1
generation_max_length:
value: 256
temperature:
values:
- 0.2
- 0.4
- 0.6
- 0.8
- 1.0
- 1.2
chunk_length_s:
value: 20
program: run_long_form_transcription.py
project: distil-whisper-long-form |