|
|
|
|
|
|
|
|
|
|
|
python run_whisper_finetuning.py \ |
|
--model_name_or_path="openai/whisper-small" \ |
|
--output_dir="../whisper-CC-nn" \ |
|
--overwrite_output_dir=True \ |
|
--language="Norwegian" \ |
|
--task="transcribe" \ |
|
--dataset_name="mozilla-foundation/common_voice_11_0" \ |
|
--dataset_config="nn-NO" \ |
|
--do_train=True \ |
|
--do_eval=True \ |
|
--audio_column_name="audio" \ |
|
--text_column_name="sentence" \ |
|
--per_device_train_batch_size=48 \ |
|
--per_device_train_batch_size=48 \ |
|
--learning_rate=4e-5 \ |
|
--warmup_steps=500 \ |
|
--max_steps=1000 \ |
|
--gradient_checkpointing=True \ |
|
--gradient_accumulation_steps=1 \ |
|
--group_by_length=False \ |
|
--evaluation_strategy="steps" \ |
|
--save_steps=250 \ |
|
--eval_steps=250 \ |
|
--max_eval_samples=50 \ |
|
--logging_steps=250 \ |
|
--fp16=True \ |
|
--load_best_model_at_end=True \ |
|
--metric_for_best_model="wer" \ |
|
--greater_is_better=False \ |
|
--report_to="tensorboard" \ |
|
--predict_with_generate=True \ |
|
--generation_max_length=225 \ |
|
--print_training_arguments=True \ |
|
--push_to_hub=True |
|
|
|
|
|
|