| export WANDB_PROJECT="xls-r-300m-cv_8-fr" | |
| python run_speech_recognition_ctc.py \ | |
| --activation_dropout="0.1" \ | |
| --dataset_name="mozilla-foundation/common_voice_8_0" \ | |
| --dataset_config_name="fr" \ | |
| --eval_steps="500" \ | |
| --evaluation_strategy="steps" \ | |
| --feat_proj_dropout="0.0" \ | |
| --freeze_feature_encoder \ | |
| --fp16 \ | |
| --gradient_accumulation_steps="8" \ | |
| --gradient_checkpointing \ | |
| --group_by_length \ | |
| --layerdrop="0.0" \ | |
| --learning_rate="7.5e-5" \ | |
| --length_column_name="input_length" \ | |
| --load_best_model_at_end \ | |
| --logging_steps="100" \ | |
| --mask_feature_length="64" \ | |
| --mask_feature_prob="0.25" \ | |
| --mask_time_length="10" \ | |
| --mask_time_prob="0.75" \ | |
| --model_name_or_path="./checkpoint-17000" \ | |
| --num_train_epochs="7.0" \ | |
| --output_dir="./" \ | |
| --overwrite_output_dir \ | |
| --per_device_train_batch_size="16" \ | |
| --per_device_eval_batch_size="16" \ | |
| --preprocessing_num_workers="4" \ | |
| --push_to_hub \ | |
| --report_to="wandb" \ | |
| --save_steps="500" \ | |
| --save_total_limit="3" \ | |
| --text_column_name="sentence" \ | |
| --use_auth_token \ | |
| --warmup_steps="2000" \ | |
| --do_train --do_eval | |