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# whisper-md-el-intlv-xs
python run_speech_recognition_seq2seq_streaming.py \
--model_name_or_path 'openai/whisper-medium' \
--model_revision main \
--do_train True \
--do_eval True \
--use_auth_token False \
--freeze_feature_encoder False \
--freeze_encoder False \
--model_index_name 'whisper-md-el-intlv-xs' \
--dataset_name 'mozilla-foundation/common_voice_11_0,google/fleurs' \
--dataset_config_name 'el,el_gr' \
--train_split_name 'train+validation,train+validation' \
--eval_split_name 'test,-' \
--text_column_name 'sentence,transcription' \
--audio_column_name 'audio,audio' \
--streaming False \
--max_duration_in_seconds 30 \
--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-md-el-intlv-xs' \
--overwrite_output_dir True \
--per_device_train_batch_size 32 \
--gradient_accumulation_steps 2 \
--learning_rate 1e-5 \
--dropout 0.1 \
--warmup_steps 500 \
--max_steps 5000 \
--eval_steps 1000 \
--gradient_checkpointing True \
--cache_dir '~/.cache' \
--fp16 True \
--evaluation_strategy steps \
--per_device_eval_batch_size 8 \
--predict_with_generate True \
--generation_max_length 225 \
--save_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
#
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