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python ./run_speech_recognition_seq2seq_streaming.py \
--model_name_or_path "openai/whisper-small" \
--model_revision "main" \
--do_train True \
--do_eval True \
--use_auth_token False \
--freeze_encoder False \
--model_index_name "whisper-sm-el-xs" \
--dataset_name "mozilla-foundation/common_voice_11_0" \
--dataset_config_name "el" \
--audio_column_name "audio" \
--text_column_name "sentence" \
--max_duration_in_seconds 30 \
--train_split_name "train+validation" \
--eval_split_name "test" \
--do_lower_case False \
--do_remove_punctuation False \
--do_normalize_eval True \
--language "greek" \
--task "transcribe" \
--shuffle_buffer_size 500 \
--output_dir "./data/finetuningRuns/whisper-sm-el-xs" \
--per_device_train_batch_size 16 \
--gradient_accumulation_steps 4 \
--learning_rate 1e-5 \
--warmup_steps 500 \
--max_steps 5000 \
--gradient_checkpointing True \
--fp16 True \
--evaluation_strategy "steps" \
--per_device_eval_batch_size 8 \
--predict_with_generate True \
--generation_max_length 225 \
--save_steps 1000 \
--eval_steps 1000 \
--logging_steps 25 \
--report_to "tensorboard" \
--load_best_model_at_end True \
--metric_for_best_model "wer" \
--greater_is_better False \
--push_to_hub False \
--overwrite_output_dir True
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