| #!/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="switchboard" \ |
| --output_dir="./" \ |
| --wandb_name="wav2vec2-aed-switchboard" \ |
| --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="260" \ |
| --final_generation_num_beams="5" \ |
| --generation_length_penalty="0.8" \ |
| --overwrite_output_dir \ |
| --gradient_checkpointing \ |
| --freeze_feature_encoder \ |
| --predict_with_generate \ |
| --do_eval \ |
| --do_train \ |
| --do_predict \ |
| --push_to_hub \ |
| --use_auth_token |
