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python run_speech_recognition_seq2seq_streaming.py \
       --model_name_or_path="auro/whisper-cli-small-or" \
       --dataset_name="mozilla-foundation/common_voice_11_0" \
       --dataset_config_name="or" \
       --language="odia" \
       --train_split_name="train+validation" \
       --eval_split_name="test" \
       --model_index_name="Whisper Small Odia" \
       --max_steps="1000" \
       --output_dir="./" \
       --per_device_train_batch_size="64" \
       --per_device_eval_batch_size="32" \
       --logging_steps="25" \
       --learning_rate="5e-6" \
       --warmup_steps="200" \
       --evaluation_strategy="steps" \
       --eval_steps="250" \
       --save_strategy="steps" \
       --save_steps="250" \
       --generation_max_length="225" \
       --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 \
       --fp16 \
       --overwrite_output_dir \
       --do_train \
       --do_eval \
       --predict_with_generate \
       --do_normalize_eval \
       --use_auth_token \
       --push_to_hub