config: conf/train_asr.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_raw_bpe1000 ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 2 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 44079 dist_launcher: null multiprocessing_distributed: true unused_parameters: false sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 200 patience: 20 val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 grad_clip: 5 grad_clip_type: 2.0 grad_noise: false accum_grad: 2 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null wandb_entity: null wandb_name: null wandb_model_log_interval: -1 detect_anomaly: false pretrain_path: null init_param: [] ignore_init_mismatch: false freeze_param: [] num_iters_per_epoch: null batch_size: 32 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_bpe1000/train/speech_shape - exp/asr_stats_raw_bpe1000/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_bpe1000/valid/speech_shape - exp/asr_stats_raw_bpe1000/valid/text_shape.bpe batch_type: folded valid_batch_type: null fold_length: - 80000 - 150 sort_in_batch: descending sort_batch: descending multiple_iterator: false chunk_length: 500 chunk_shift_ratio: 0.5 num_cache_chunks: 1024 train_data_path_and_name_and_type: - - dump/raw/sunda_train/wav.scp - speech - sound - - dump/raw/sunda_train/text - text - text valid_data_path_and_name_and_type: - - dump/raw/sunda_dev/wav.scp - speech - sound - - dump/raw/sunda_dev/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adam optim_conf: lr: 10.0 scheduler: noamlr scheduler_conf: warmup_steps: 25000 token_list: - - - ▁ - ▁DI - KEUR - ▁KU - ▁JEUNG - ▁OL - ▁NINGALI - NCARA - ▁WARTAWAN - OHOK - WAWA - POTO - A - I - E - Y - S - O - AN - T - NA - N - R - RA - L - ER - H - D - ▁KA - 'ON' - U - TA - IN - ▁K - ▁S - P - MA - G - K - AR - LA - RI - NG - M - EL - ▁M - ▁D - DI - LE - B - IE - ▁P - Z - W - WI - ▁B - ▁MAR - EN - AD - ▁T - . - SON - ▁F - AS - IS - UR - KA - ▁LI - MAN - ING - UNG - ▁G - ▁AL - V - TON - UN - WA - ▁AYA - ▁POE - F - ▁TI - ▁DINA - ▁NI - TH - RE - ▁O - ▁ARI - ▁HA - CA - NE - CK - ORAN - ▁JA - ▁ME - TO - AH - ▁SI - US - ▁C - ▁SO - UL - LO - DEWI - ES - ▁BA - ▁Z - ▁MI - AL - ▁RO - ED - ▁SA - KY - ▁PA - ▁SU - EK - ▁BE - SA - TYA - ▁CA - IKA - ▁BEN - NDA - CE - ▁JO - NATA - ▁H - IA - ▁RU - INA - ▁CHRIS - ▁SAND - ▁THE - IM - BERT - ▁SAM - YA - C - HA - ▁HO - ▁LEE - KU - GO - ▁DON - ▁IR - ATI - UK - ▁W - GER - ZI - ▁JOHN - ▁IS - ANG - ▁KE - LEY - ▁RE - ▁SE - ▁BO - IF - ▁MUHAM - MY - ▁JACK - LY - DO - KI - ▁KAT - ▁RAM - KH - IC - ▁L - ▁JI - AM - ▁JESSI - ▁BELL - ▁MO - AVID - RO - HAM - EM - OR - JA - ▁HE - SARI - MAD - ID - '-' - LAN - OT - RAH - ASA - ▁ELIZABETH - INE - ▁TOM - ▁LE - ▁LA - ▁REZ - ▁AND - ▁JENN - UM - ▁MARIA - ▁BON - ▁CHO - FA - YONG - ▁TITI - HEN - ▁BR - EB - ▁ANU - ISA - ▁PE - ▁DO - ▁TEU - TEN - ▁MIR - ▁NU - WAN - ▁RI - EZ - ▁VIN - MAL - OS - OOR - RAN - ▁WIN - BING - ▁YU - ▁GI - ▁AHM - ANTI - ▁LU - ALI - ▁NO - ▁BILL - ▁YO - J - SHA - ▁ADAM - LIE - ▁SOPHI - CKY - ▁JON - ▁MARTIN - ▁KHAN - DER - ▁KAP - ▁JOE - ▁WON - ▁JAME - ▁WILLIAM - ▁J - ▁KAR - ▁AR - MITH - ▁ADI - UA - ▁CHANDRA - ▁RIZ - ▁ASHLE - ▁RICHARD - ▁PUTRI - ▁JOSH - ▁HARRIS - ▁GUN - RINA - ▁INDRA - ARA - ▁LAT - ▁EM - ▁AYU - ▁VAN - WATI - CHAN - SYA - ▁ALI - CHEL - ▁PAN - ALL - BU - ▁CH - AWA - ▁ABD - NS - ERRY - AEL - ▁DAR - ▁JU - NY - ▁SHAH - ELLY - HU - ▁MICHEL - ▁CAR - RIO - ULIN - ▁DAHLIA - ▁KANG - ▁MIN - ▁LOBA - ▁YUKI - ▁EVA - ▁WILL - INDAH - ▁JUD - NTY - ▁CIT - ▁JUN - ▁MC - ▁JUSTI - PERT - ▁CI - ▁US - ▁YUN - ▁SIMP - NIE - DAD - ▁MEL - ▁SHERI - ▁PAUL - RYAN - ▁RAN - ▁VI - HAKIM - ▁FAT - ALLEN - UNGAN - ▁MARC - MES - ▁CRIST - ▁MARK - ▁DANIEL - ▁ROSS - FAN - ▁REEVE - ▁JULIA - ZHA - ONEY - ▁KANTO - ▁KATE - ▁JIM - ▁LAU - ▁WOOD - BAMA - LOR - LUM - GHAN - ▁TRI - ▁MICH - ▁DU - RTIKA - ▁RICK - ESSA - TIK - EVIN - ▁TAY - ANDAR - ▁SHI - ELA - ▁GAD - ▁WIB - ▁JE - CHOLAS - YAM - ▁HARU - ▁TUR - ▁CHARL - ▁SHAR - JAYA - ▁HYUN - X - ▁SYAH - ▁LANCE - LVIN - UKI - ▁PAPA - ▁DARA - AUDY - ▁SHA - ▁SIT - ARAH - SEA - ▁BUL - ▁CO - BANG - KEUN - LINA - RYA - ▁NGAR - RIANA - ▁GEDE - AWAN - ▁PANG - ▁MELL - AKE - STIAN - NDRA - ▁CAFE - DAY - ▁BAD - ▁LAUR - ▁KRIS - ▁REBO - ▁NEP - ▁ROBB - ▁STONE - BAH - WARD - ▁FAR - LIA - ▁SORA - PATI - ▁RATU - ▁KAMAR - ▁SUN - ▁MEDIA - EPP - ▁AGUS - ▁MASA - NDY - ▁LAM - NDES - TINA - ▁DEV - ISH - ▁GREEN - ORO - BALE - ▁SURYA - ▁PARK - RAHMAN - IPUT - ▁GINANJAR - REW - ▁VICTORIA - ▁JANET - ▁BAY - OSTER - ▁STE - ▁RITA - ▁ARM - ▁MAHER - ▁CARE - MELA - WART - ALIK - ▁ANGEL - STRONG - ▁CRUISE - ▁DANI - ▁CLIN - ▁AYEUNA - ▁SONG - ▁FACHR - GITA - RANDA - ▁MAU - KITA - ICIA - ▁FEB - ▁ANT - VIA - ▁TURNE - PORT - ▁RAS - LIU - ▁OCTA - ▁KHALI - OPH - ▁STEP - ▁WEST - ▁SEUNG - HIM - ▁FERNAND - LESTARI - ▁RY - SCAR - REGAR - AMIR - SAPUTRA - ▁AGNES - ▁MULYA - HONY - AFFLE - ▁PERSI - ▁CHE - OLIVIA - ▁SALMA - ▁RONAL - HOPE - HUN - ▁ROSE - ILARI - ▁KRISTEN - ▁NOVITA - ▁KAKA - AMIL - ▁RON - ▁CITA - ALBAR - ▁VIR - ▁FENI - IOR - ▁LED - ▁ELVI - ▁YOON - ▁RIDWAN - ▁RAF - ▁ASTRI - ▁DUA - ▁MILL - ▁DES - IEF - ▁TAM - ▁ROY - ▁KOES - SUMA - ▁CHIN - ▁ROD - ▁PIT - KARNA - LANK - ▁YAYAN - ▁BIG - ▁ANIS - OHANG - QI - ▁ALAM - ▁MEG - MAHE - OWO - ▁DOMIN - ▁CHER - IMBERL - INTAN - MORE - ▁SUKA - ▁NINI - ▁STEFAN - ▁CASE - NAJ - SEUEUR - STER - ▁JORDAN - ▁ARIF - ▁KIRAN - YAKI - ETTI - ▁YUNG - ASIH - ▁SHEI - QUE - ▁STEV - ▁VER - MAJA - ▁WAHYU - ▁MICHE - ▁BIMB - HAB - ▁BAHA - ▁CAME - ▁ALEXAND - ▁ZAC - ▁FRED - ▁PIER - ▁PINK - ▁THOM - ▁DJ - ▁EMIL - GIE - ▁NICO - ▁RUS - ▁INDONESIA - ▁KURNIA - ▁FITRI - IKO - YANA - ▁BOW - LETT - ▁HOL - ▁MONA - ▁ANDY - GHAZ - ▁MAG - ▁NAD - LANA - ESIH - ASMI - ▁ARMAND - ▁ADE - DJA - OVA - AURE - KUMAH - ▁DANU - ▁JERE - ▁KIM - ▁HAZ - ▁GAL - DANE - ▁LEV - ▁AMIN - IBRA - ▁MELAN - ▁LOUIS - ▁PURNAMA - CENT - ▁BRAMA - ▁DANANG - ▁DEVI - ▁RANGGA - ▁IQBA - ▁POPP - AYN - HETT - ▁DIMAS - ▁MAND - ▁NGAL - ▁AGU - ▁IVAN - ▁FANN - ▁IB - ▁CLARK - ▁HERMAN - ▁ANA - RELL - LIAM - LENN - USSY - ▁AHAD - ▁RIRI - OVI - NTEN - BRATA - RID - ▁ANNI - ▁HERLIN - ▁SULISTY - SUHU - ▁ANDRE - ▁SENEN - ▁NAND - NAGARA - ▁ANGGA - ▁KRIST - ACH - PIRANG - NDER - DARI - JUNG - STADI - ▁SALASA - RLAND - ▁NGOPI - ▁JUMAAH - ▁MANG - RANI - DHI - ▁RAMADHAN - ▁KIR - ▁RATUS - ▁AISH - DIANA - ▁MINGGON - ▁KEMIS - ▁LEO - ASHI - ▁SHAN - ▁BANDUNG - ▁IWA - ▁PANTAI - WEN - ▁AWAK - ▁PRESIDEN - ▁NIR - ▁MANCA - ▁SAPTU - CHA - ▁KARD - NTUH - ▁MUSE - STASI - KMAN - ▁FANS - ▁ANYAR - ▁ABI - NGIR - ▁DONGKAP - '5' - NGSI - Q - ▁PROPERT - ▁NYIA - NGGIH - ▁DIDAMEL - ▁NASIONAL - OLI - ▁KAAYA - ▁KYL - ▁UJANG - ▁PENGG - ▁POSTER - ▁IEU - IMAH - ANDRY - ▁KAGIATAN - ▁KABUL - ARIM - ▁RUPIAH - CAGE - ▁MUSI - ▁PART - IBURAN - ▁GAGA - SUF - ▁EFFE - GEND - ▁BLACK - ▁ALBA - ▁KUNC - ▁VALEN - IJAH - ▁ANTARA - OODY - JOL - ▁FOO - ▁POLAND - ▁METAL - HYUN - ADONA - ▁ALEXA - ARTI - ▁BUSH - ▁NORT - LICA - ▁GAMBAR - ▁DOWN - ▁QUEEN - ▁STREE - ▁CUT - ▁BROK - BEG - ▁STAN - ▁QUI - GBA - LEVI - RIGHT - ▁SEBA - ▁WIZ - IPAN - ▁SUMBANG - ▁ROLL - ▁KARNO - ESTU - ▁ADJ - ▁BIL - AVO - ▁NGADA - ▁KOKO - ▁NABI - ▁GOES - ▁FIGHT - ▁STILL - ▁PATT - RRES - ERENA - ILANG - ISTY - ATUM - ▁GUARDI - ERJUN - ▁NGAGE - ▁LOREN - ETRAL - BIR - FRON - ▁SAHI - ▁MISS - ▁GRAND - ▁GIGI - ▁HYD - ▁APPLE - UYAN - ▁WINTER - ▁PETRA - MAJU - ▁BATU - ▁MIHAR - ▁BIDE - ▁CECEP - DIANTO - DINI - ▁AFGAN - ▁WALK - ▁CASI - ▁DAMON - ▁GARE - ▁GAWE - ▁MERC - ▁TRAIN - ▁TULU - ▁KEYS - ▁NGALAMA - ▁BROWN - ▁MAYORI - ▁ELLI - ▁GEUS - ▁MEUNANG - ▁KEND - IKER - SUT - RAIG - ▁SYARIF - TEMAT - ORGAN - COTT - LLAS - ▁PANDU - ▁PANGAB - ▁WALT - ▁SUPER - EXTO - IPT - ▁MOSS - ▁NASSA - ▁HUG - NADIA - JUB - HANKS - ▁GRACE - EATING - ARDIAN - ▁WISNU - ▁ANGKAT - ▁KOME - NCER - BIP - SLIM - ▁HYE - USSE - RENCE - LOPE - AKAMA - SAHANA - ▁INTERNET - ▁MUKTI - UTS - ▁TERE - ▁POP - ▁MULAN - ▁BUNGA - ▁USAHA - BRUG - ▁SCR - ▁WATSON - ▁SLAV - PLAY - ▁RIYAD - ▁FELT - RAINI - ▁MUCH - AMUNGK - ▁BANK - ▁DUNYA - ▁FALS - BET - MUSU - ▁BLOOM - ▁HIGH - ▁LILIS - ▁KOLO - ▁BRUNO - ▁AJI - COCK - ▁PRIM - ▁UNTUNG - ▁STAT - ▁HILL - ▁ROBIN - ▁GRAVE - ▁MORRIS - RAJAT - ▁GEORGE - ▁UTAMI - ▁FORD - ▁PISAN - ▁JULI - ROACH - HIK - ▁SAKULIA - ▁CAKRA - ▁SOLIHUN - RUMP - ▁NANI - CULES - HINI - ▁HYU - ▁GEORGI - ▁PUTRA - ▁JEONG - VITA - ▁REST - ▁PEGG - LUNT - ONALD - ▁BEAT - ICHO - AVEN - ▁SARDI - OLEH - PUTIN - TIANA - ▁CUCU - HARGA - PUSPA - ▁CROW - ▁ISLAM - ▁PERMAN - ▁NUNU - ▁BUBBLE - ▁SUKSES - ▁SUGAND - BAGJA - LESTI - IFFE - PHAR - ▁APRIL - ▁AGAT - ▁ARCH - ▁SHEE - ▁GILL - ▁COFF - STISI - ▁ENDANG - INDRO - OBAN - GALUNG - PPIE - ▁PETE - ▁BAREN - BOURNE - LESIA - MAIL - ▁PRINCE - ▁LANGIT - SWOR - SEBAT - TISS - UWAI - ▁WEI - NIGHT - SADEW - DALE - AMBO - IGG - AGASKAR - ▁HEATH - RESNA - HALLE - AMIT - ▁BRANCH - AKOTA - ▁BARB - ▁CHEMI - ▁PRIATNA - '0' - ▁COBA - ▁ESPE - ITJE - WULAN - ▁GUGUM - NSIL - UNGSU - ▁BLUE - ▁ASEP - TILES - UCI - ITEPU - ▁PROJECT - PPOL - Í - '1' - '"' - '6' - '2' - '3' - '8' - '''' - '9' - '7' - '4' - '!' - È - ',' - ; - '&' - Ä - Ñ - Ō - init: chainer input_size: null ctc_conf: dropout_rate: 0.0 ctc_type: builtin reduce: true ignore_nan_grad: true model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false use_preprocessor: true token_type: bpe bpemodel: data/token_list/bpe_unigram1000/bpe.model non_linguistic_symbols: null cleaner: null g2p: null speech_volume_normalize: null rir_scp: null rir_apply_prob: 1.0 noise_scp: null noise_apply_prob: 1.0 noise_db_range: '13_15' frontend: default frontend_conf: fs: 16k specaug: null specaug_conf: {} normalize: global_mvn normalize_conf: stats_file: exp/asr_stats_raw_bpe1000/train/feats_stats.npz preencoder: null preencoder_conf: {} encoder: transformer encoder_conf: input_layer: conv2d num_blocks: 12 linear_units: 2048 dropout_rate: 0.1 output_size: 256 attention_heads: 4 attention_dropout_rate: 0.0 decoder: transformer decoder_conf: input_layer: embed num_blocks: 6 linear_units: 2048 dropout_rate: 0.1 required: - output_dir - token_list version: 0.9.10 distributed: true