date 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 date