| |
|
|
| 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 Medium Danish (CV11 + FLEAURS)' \ |
| --dataset_name 'mozilla-foundation/common_voice_11_0,google/fleurs' \ |
| --dataset_config_name 'da,da_dk' \ |
| --train_split_name 'train+validation,train+validation' \ |
| --eval_split_name 'test,-' \ |
| --text_column_name 'sentence,raw_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 danish \ |
| --task transcribe \ |
| --shuffle_buffer_size 500 \ |
| --output_dir './' \ |
| --overwrite_output_dir True \ |
| --per_device_train_batch_size 32 \ |
| --gradient_accumulation_steps 1 \ |
| --learning_rate 8e-6 \ |
| --dropout 0.1 \ |
| --warmup_steps 500 \ |
| --max_steps 10000 \ |
| --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 |
|
|
