config: conf/tuning/train_asr_hubert_conformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_hubert_conformer_raw_bpe100_init_paramexpexp_hubert_large_ll60k_weighted_perturbasr_train_asr_conformer7_hubert_960hr_large_raw_en_bpe5000_sp26epoch.pth:::decoder.output_layer,decoder.embed.0,ctc.ctc_lo_sp ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: null dist_rank: null local_rank: null dist_master_addr: null dist_master_port: null dist_launcher: null multiprocessing_distributed: false unused_parameters: false sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 500 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 grad_clip: 5.0 grad_clip_type: 2.0 grad_noise: false accum_grad: 1 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: - exp/exp_hubert_large_ll60k_weighted_perturb/asr_train_asr_conformer7_hubert_960hr_large_raw_en_bpe5000_sp/26epoch.pth:::decoder.output_layer,decoder.embed.0,ctc.ctc_lo ignore_init_mismatch: false freeze_param: - frontend.upstream num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_bpe100_sp/train/speech_shape - exp/asr_stats_raw_bpe100_sp/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_bpe100_sp/valid/speech_shape - exp/asr_stats_raw_bpe100_sp/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/train_sp/wav.scp - speech - sound - - dump/raw/train_sp/text - text - text valid_data_path_and_name_and_type: - - dump/raw/dev/wav.scp - speech - sound - - dump/raw/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: 0.0002 scheduler: warmuplr scheduler_conf: warmup_steps: 2000 token_list: - - - DECREASEBRIGHTNESS - INCREASEBRIGHTNESS - SETLIGHTBRIGHTNESS - SETLIGHTCOLOR - SWITCHLIGHTOFF - SWITCHLIGHTON - ▁ - ▁the - ▁lights - ▁to - e - ▁in - ▁turn - i - s - l - d - t - ▁please - o - ▁room - ▁light - ke - ▁brightness - ▁i - ▁off - a - ▁be - ▁on - m - ▁ma - nt - ▁wa - r - ▁change - u - ▁set - re - ▁you - y - ▁can - ▁li - g - ing - ▁down - ▁pink - p - ▁two - v - ▁lighting - ▁of - w - ▁red - at - ting - ▁bedroom - ▁s - ▁la - ▁need - ▁twenty - ▁up - ▁it - eve - ▁me - f - ou - ▁green - ld - ▁increase - ▁brighter - ▁blue - ▁color - ▁bright - ▁toilet - ▁kitchen - ▁dim - ry - ▁lower - ▁bathroom - ▁switch - all - ▁twelve - ▁dark - ▁basement - ▁percent - x - j - k - c - b - n - '0' - '3' - q - z - '4' - h - init: null 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 extract_feats_in_collect_stats: false use_preprocessor: true token_type: bpe bpemodel: data/token_list/bpe_unigram100/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: s3prl frontend_conf: frontend_conf: upstream: hubert_large_ll60k download_dir: ./hub multilayer_feature: true fs: 16k specaug: specaug specaug_conf: apply_time_warp: true time_warp_window: 5 time_warp_mode: bicubic apply_freq_mask: true freq_mask_width_range: - 0 - 30 num_freq_mask: 2 apply_time_mask: true time_mask_width_range: - 0 - 40 num_time_mask: 2 normalize: utterance_mvn normalize_conf: {} preencoder: linear preencoder_conf: input_size: 1024 output_size: 80 encoder: conformer encoder_conf: output_size: 512 attention_heads: 8 linear_units: 2048 num_blocks: 12 dropout_rate: 0.1 positional_dropout_rate: 0.1 attention_dropout_rate: 0.1 input_layer: conv2d normalize_before: true macaron_style: true pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish use_cnn_module: true cnn_module_kernel: 31 postencoder: null postencoder_conf: {} decoder: transformer decoder_conf: attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.1 src_attention_dropout_rate: 0.1 required: - output_dir - token_list version: 0.10.3a3 distributed: false