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python run_speech_recognition_ctc.py \
--model_name_or_path="facebook/w2v-bert-2.0" \
--dataset_name="CLEAR-Global/luo_19_77h" \
--train_split_name="train" \
--eval_split_name="validation" \
--output_dir="./w2v-bert-2.0-luo_19_77h" \
--max_steps="100000" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="32" \
--gradient_accumulation_steps="2" \
--freeze_feature_encoder=false \
--add_adapter=true \
--mask_time_prob="0.0" \
--final_dropout="0.1" \
--attention_dropout="0.05" \
--feat_proj_dropout="0.05" \
--hidden_dropout="0.05" \
--ctc_zero_infinity=true \
--learning_rate="3e-5" \
--warmup_ratio="0.1" \
--eval_strategy="steps" \
--save_steps="1000" \
--eval_steps="1000" \
--logging_steps="1" \
--eval_metrics wer cer \
--save_total_limit="1" \
--load_best_model_at_end \
--max_duration_in_seconds="30" \
--gradient_checkpointing \
--fp16 \
--group_by_length \
--length_column_name "input_length" \
--do_train --do_eval \
--preprocessing_num_workers="22" \
--dataloader_num_workers="22" \
--push_to_hub \
--push_to_hub_organization="CLEAR-Global" \
--hub_strategy="checkpoint"
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