|
#!/usr/bin/env bash |
|
CUDA_VISIBLE_DEVICES=1 python run_speech_recognition_seq2seq.py \ |
|
--dataset_name="librispeech_asr" \ |
|
--model_name_or_path="./" \ |
|
--dataset_config_name="clean" \ |
|
--train_split_name="train.100" \ |
|
--eval_split_name="validation" \ |
|
--output_dir="./" \ |
|
--preprocessing_num_workers="1" \ |
|
--length_column_name="input_length" \ |
|
--num_train_epochs="10" \ |
|
--per_device_train_batch_size="8" \ |
|
--per_device_eval_batch_size="8" \ |
|
--gradient_accumulation_steps="4" \ |
|
--generation_max_length="40" \ |
|
--generation_num_beams="1" \ |
|
--learning_rate="5e-6" \ |
|
--warmup_steps="1" \ |
|
--evaluation_strategy="steps" \ |
|
--text_column_name="text" \ |
|
--save_steps="1500" \ |
|
--eval_steps="1500" \ |
|
--logging_steps="1" \ |
|
--save_total_limit="1" \ |
|
--freeze_feature_encoder \ |
|
--gradient_checkpointing \ |
|
--fp16 \ |
|
--group_by_length \ |
|
--predict_with_generate \ |
|
--do_lower_case \ |
|
--do_eval --do_train \ |
|
--push_to_hub \ |
|
--use_auth_token |
|
|
|
|
