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WANDB_ENTITY=NbAiLab WANDB_PROJECT=wav2vec2 python run_speech_recognition_ctc.py \
--model_name_or_path="facebook/wav2vec2-xls-r-1b" \
--hub_model_id="NbAiLab/wav2vec2-1b-npsc-nst" \
--output_dir="./" \
--num_train_epochs="40" \
--per_device_train_batch_size="12" \
--per_device_eval_batch_size="12" \
--gradient_accumulation_steps="2" \
--learning_rate="2e-5" \
--warmup_steps="2000" \
--length_column_name="input_length" \
--evaluation_strategy="steps" \
--text_column_name="text" \
--save_steps="500" \
--eval_steps="500" \
--logging_steps="100" \
--layerdrop="0.041" \
--attention_dropout="0.094" \
--activation_dropout="0.055" \
--hidden_dropout="0.047" \
--save_total_limit="3" \
--freeze_feature_encoder \
--feat_proj_dropout="0.04" \
--mask_time_prob="0.082" \
--mask_time_length="10" \
--mask_feature_prob="0.25" \
--mask_feature_length="64" \
--gradient_checkpointing \
--min_duration_in_seconds="0.5" \
--max_duration_in_seconds="30.0" \
--use_auth_token \
--seed="42" \
--fp16 \
--group_by_length \
--do_train --do_eval \
--push_to_hub \
--preprocessing_num_workers="32" \
--ctc_zero_infinity
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