|
#!/usr/bin/env bash |
|
python run_flax_speech_recognition_seq2seq.py \ |
|
--dataset_name="esb/datasets" \ |
|
--model_name_or_path="esb/wav2vec2-aed-pretrained" \ |
|
--dataset_config_name="gigaspeech" \ |
|
--output_dir="./" \ |
|
--wandb_name="wav2vec2-aed-gigaspeech" \ |
|
--wandb_project="wav2vec2-aed" \ |
|
--per_device_train_batch_size="8" \ |
|
--per_device_eval_batch_size="2" \ |
|
--learning_rate="1e-4" \ |
|
--warmup_steps="500" \ |
|
--logging_steps="25" \ |
|
--max_steps="50001" \ |
|
--eval_steps="10000" \ |
|
--save_steps="10000" \ |
|
--generation_max_length="40" \ |
|
--generation_num_beams="1" \ |
|
--final_generation_max_length="200" \ |
|
--final_generation_num_beams="14" \ |
|
--generation_length_penalty="1.2" \ |
|
--overwrite_output_dir \ |
|
--gradient_checkpointing \ |
|
--freeze_feature_encoder \ |
|
--predict_with_generate \ |
|
--do_eval \ |
|
--do_train \ |
|
--do_predict \ |
|
--push_to_hub \ |
|
--use_auth_token |
|
|
