| python run_speech_recognition_ctc.py \ | |
| --dataset_name="common_voice" \ | |
| --model_name_or_path="facebook/wav2vec2-xls-r-300m" \ | |
| --dataset_config_name="tr" \ | |
| --output_dir="./" \ | |
| --overwrite_output_dir \ | |
| --num_train_epochs="100" \ | |
| --per_device_train_batch_size="64" \ | |
| --gradient_accumulation_steps="1" \ | |
| --learning_rate="5e-4" \ | |
| --warmup_steps="500" \ | |
| --evaluation_strategy="steps" \ | |
| --text_column_name="sentence" \ | |
| --save_steps="500" \ | |
| --eval_steps="500" \ | |
| --logging_steps="1" \ | |
| --layerdrop="0.0" \ | |
| --eval_metrics wer cer \ | |
| --save_total_limit="1" \ | |
| --mask_time_prob="0.3" \ | |
| --mask_time_length="10" \ | |
| --mask_feature_prob="0.1" \ | |
| --mask_feature_length="64" \ | |
| --chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � \ | |
| --fp16 \ | |
| --group_by_length \ | |
| --push_to_hub \ | |
| --do_train --do_eval \ | |
| --gradient_checkpointing | |