| | #!/usr/bin/env bash |
| | python run_flax_speech_recognition_ctc.py \ |
| | --model_name_or_path="esb/wav2vec2-ctc-pretrained" \ |
| | --tokenizer_name="wav2vec2-ctc-librispeech-tokenizer" \ |
| | --dataset_name="esb/datasets" \ |
| | --dataset_config_name="librispeech" \ |
| | --output_dir="./" \ |
| | --wandb_project="wav2vec2-ctc" \ |
| | --wandb_name="wav2vec2-ctc-librispeech" \ |
| | --max_steps="50000" \ |
| | --save_steps="10000" \ |
| | --eval_steps="10000" \ |
| | --learning_rate="3e-4" \ |
| | --logging_steps="25" \ |
| | --warmup_steps="5000" \ |
| | --preprocessing_num_workers="1" \ |
| | --hidden_dropout="0.2" \ |
| | --activation_dropout="0.2" \ |
| | --feat_proj_dropout="0.2" \ |
| | --do_train \ |
| | --do_eval \ |
| | --do_predict \ |
| | --overwrite_output_dir \ |
| | --gradient_checkpointing \ |
| | --freeze_feature_encoder \ |
| | --push_to_hub \ |
| | --use_auth_token |
