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deepspeed run_speech_recognition_seq2seq.py \
	--deepspeed="ds_config.json" \
	--model_name_or_path="openai/whisper-large-v3" \
	--dataset_name="mozilla-foundation/common_voice_13_0" \
	--dataset_config_name="cs" \
	--language="czech" \
	--train_split_name="train+validation" \
	--eval_split_name="test" \
	--max_steps="5000" \
	--output_dir="./" \
	--per_device_train_batch_size="62" \
	--per_device_eval_batch_size="16" \
	--gradient_accumulation_steps="1" \
	--logging_steps="25" \
	--learning_rate="1e-5" \
	--warmup_steps="500" \
	--evaluation_strategy="steps" \
	--eval_steps="1000" \
	--save_strategy="steps" \
	--save_steps="1000" \
	--do_lower_case="False" \
	--generation_max_length="225" \
	--preprocessing_num_workers="16" \
	--length_column_name="input_length" \
	--max_duration_in_seconds="30" \
	--text_column_name="sentence" \
	--freeze_feature_encoder="False" \
        --report_to="tensorboard" \
        --metric_for_best_model="wer" \
        --greater_is_better="False" \
        --load_best_model_at_end \
	--gradient_checkpointing \
	--group_by_length \
	--fp16 \
	--overwrite_output_dir \
	--do_train \
	--do_eval \
	--predict_with_generate \
	--use_auth_token \
        --push_to_hub