2026-01-08 18:33:28 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T18:33:28.816246 === 2026-01-08 18:33:28 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 18:33:28 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 18:33:28 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 18:33:28 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 18:33:28 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=e649581628c3a7d875d2e1ee9c795b7595d4fcb7, short_commit=e649581628, branch=espnet3/integration_test, worktree=dirty 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models: 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 18:34:35 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 18:34:35 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 18:34:35 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 18:34:35 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 18:34:36 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'create_dataset' failed after 0.63s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py", line 64, in create_dataset result = fn(**extra) ^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py", line 135, in create_dataset raise RuntimeError("sph2pipe not found in PATH. Please install it.") RuntimeError: sph2pipe not found in PATH. Please install it. 2026-01-08 18:36:19 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T18:36:19.909692 === 2026-01-08 18:36:19 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 18:36:19 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 18:36:19 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 18:36:19 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 18:36:19 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=e649581628c3a7d875d2e1ee9c795b7595d4fcb7, short_commit=e649581628, branch=espnet3/integration_test, worktree=dirty 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models: 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 18:36:32 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 18:36:32 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.43s using src.create_dataset.create_dataset 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.43s) === 2026-01-08 18:36:32 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:131 | Building tokenizer training text via src.tokenizer.gather_training_text 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:151 | Collected 4 transcript lines for tokenizer training 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:155 | Training tokenizer: bpe 2026-01-08 18:36:32 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:156 | Tokenizer output: ./data/bpe_30 2026-01-08 18:36:33 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:165 | Tokenizer training completed in 0.09s 2026-01-08 18:36:33 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.09s) === 2026-01-08 18:36:33 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 18:36:33 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 18:36:41 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 18:36:41 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 18:36:41 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 8.38s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 92, in _call_target return _target_(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: CommonPreprocessor.__init__() missing 1 required positional argument: 'train' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 68, in collect_stats trainer = _build_trainer(cfg) ^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 34, in _build_trainer lit_model = LitESPnetModel(model, cfg) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 47, in __init__ data_organizer = instantiate(config.dataset) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 226, in instantiate return instantiate_node( ^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 342, in instantiate_node value = instantiate_node( ^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 347, in instantiate_node return _call_target(_target_, partial, args, kwargs, full_key) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 97, in _call_target raise InstantiationException(msg) from e hydra.errors.InstantiationException: Error in call to target 'espnet2.train.preprocessor.CommonPreprocessor': TypeError("CommonPreprocessor.__init__() missing 1 required positional argument: 'train'") full_key: dataset.preprocessor 2026-01-08 18:38:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T18:38:37.023878 === 2026-01-08 18:38:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 18:38:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 18:38:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 18:38:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 18:38:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=e649581628c3a7d875d2e1ee9c795b7595d4fcb7, short_commit=e649581628, branch=espnet3/integration_test, worktree=dirty 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 train: true data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 18:38:49 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 18:38:49 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 18:38:49 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 18:38:49 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 18:38:49 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.21s using src.create_dataset.create_dataset 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.22s) === 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 18:38:49 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.01s) === 2026-01-08 18:38:49 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 18:38:49 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 18:38:57 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 18:38:58 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 18:38:58 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 18:38:58 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 18:38:58 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 18:38:58 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 18:38:58 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 18:38:59 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 9.63s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 69, in collect_stats trainer.collect_stats() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/training/trainer.py", line 205, in collect_stats return self.model.collect_stats(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 438, in collect_stats collect_stats( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 512, in collect_stats sum_dict, sq_dict, count_dict = _collect_stats_common( ^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 375, in _collect_stats_common results = runner(index_batches) ^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 340, in __call__ return self._run_local(indices) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in _run_local return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 328, in forward return batch_collect_stats( ^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 44, in batch_collect_stats item = dataset[i] ~~~~~~~^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/dataset.py", line 151, in __getitem__ transformed = self.transforms[i][1](str(idx), transformed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/preprocessor.py", line 547, in __call__ data = self._speech_process(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/preprocessor.py", line 451, in _speech_process data[self.speech_name] = self.data_aug( ^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/layers/augmentation.py", line 99, in __call__ print(effect) IndexError: list index out of range 2026-01-08 18:40:16 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T18:40:16.707156 === 2026-01-08 18:40:16 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 18:40:16 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 18:40:16 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 18:40:16 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 18:40:16 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=e649581628c3a7d875d2e1ee9c795b7595d4fcb7, short_commit=e649581628, branch=espnet3/integration_test, worktree=dirty 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 train: true data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 18:40:29 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 18:40:29 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 18:40:29 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 18:40:29 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 18:40:29 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.20s using src.create_dataset.create_dataset 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.20s) === 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 18:40:29 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 18:40:29 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 18:40:29 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 18:40:37 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 18:40:37 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 18:40:37 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 18:40:37 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 18:40:37 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 18:40:37 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 18:40:38 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 18:40:38 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 9.00s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 69, in collect_stats trainer.collect_stats() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/training/trainer.py", line 205, in collect_stats return self.model.collect_stats(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 438, in collect_stats collect_stats( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 512, in collect_stats sum_dict, sq_dict, count_dict = _collect_stats_common( ^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 375, in _collect_stats_common results = runner(index_batches) ^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 340, in __call__ return self._run_local(indices) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in _run_local return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 328, in forward return batch_collect_stats( ^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 44, in batch_collect_stats item = dataset[i] ~~~~~~~^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/dataset.py", line 151, in __getitem__ transformed = self.transforms[i][1](str(idx), transformed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/preprocessor.py", line 547, in __call__ data = self._speech_process(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/preprocessor.py", line 451, in _speech_process data[self.speech_name] = self.data_aug( ^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/layers/augmentation.py", line 100, in __call__ if isinstance(effect[1], list): ~~~~~~^^^ IndexError: list index out of range 2026-01-08 19:02:51 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T19:02:51.458046 === 2026-01-08 19:02:51 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 19:02:51 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 19:02:51 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 19:02:51 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 19:02:51 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=7fae474de17d0a228f7ebb269ada1103e8014e6c, short_commit=7fae474de1, branch=espnet3/integration_test, worktree=dirty 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 19:03:03 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 19:03:03 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 19:03:03 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 19:03:03 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 19:03:04 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 19:03:04 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.18s using src.create_dataset.create_dataset 2026-01-08 19:03:04 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.18s) === 2026-01-08 19:03:04 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 19:03:04 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 19:03:04 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 19:03:04 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 19:03:04 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:03:11 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:03:11 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:03:11 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 7.66s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 92, in _call_target return _target_(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: CommonPreprocessor.__init__() missing 1 required positional argument: 'train' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 68, in collect_stats trainer = _build_trainer(cfg) ^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 34, in _build_trainer lit_model = LitESPnetModel(model, cfg) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 47, in __init__ data_organizer = instantiate(config.dataset) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 226, in instantiate return instantiate_node( ^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 342, in instantiate_node value = instantiate_node( ^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 347, in instantiate_node return _call_target(_target_, partial, args, kwargs, full_key) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 97, in _call_target raise InstantiationException(msg) from e hydra.errors.InstantiationException: Error in call to target 'espnet2.train.preprocessor.CommonPreprocessor': TypeError("CommonPreprocessor.__init__() missing 1 required positional argument: 'train'") full_key: dataset.preprocessor 2026-01-08 19:05:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T19:05:24.823181 === 2026-01-08 19:05:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 19:05:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 19:05:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 19:05:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 19:05:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=7fae474de17d0a228f7ebb269ada1103e8014e6c, short_commit=7fae474de1, branch=espnet3/integration_test, worktree=dirty 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 19:05:37 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 19:05:37 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 19:05:37 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 19:05:37 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 19:05:37 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.18s using src.create_dataset.create_dataset 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.18s) === 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 19:05:37 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 19:05:37 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 19:05:37 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:05:45 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:05:45 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:05:45 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 7.81s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 92, in _call_target return _target_(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: CommonPreprocessor.__init__() missing 1 required positional argument: 'train' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 68, in collect_stats trainer = _build_trainer(cfg) ^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 34, in _build_trainer lit_model = LitESPnetModel(model, cfg) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 47, in __init__ data_organizer = instantiate(config.dataset) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 226, in instantiate return instantiate_node( ^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 342, in instantiate_node value = instantiate_node( ^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 347, in instantiate_node return _call_target(_target_, partial, args, kwargs, full_key) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 97, in _call_target raise InstantiationException(msg) from e hydra.errors.InstantiationException: Error in call to target 'espnet2.train.preprocessor.CommonPreprocessor': TypeError("CommonPreprocessor.__init__() missing 1 required positional argument: 'train'") full_key: dataset.preprocessor 2026-01-08 19:08:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T19:08:11.791472 === 2026-01-08 19:08:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 19:08:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 19:08:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 19:08:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 19:08:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=7fae474de17d0a228f7ebb269ada1103e8014e6c, short_commit=7fae474de1, branch=espnet3/integration_test, worktree=dirty 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor fs: 16000 train: true data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 19:08:25 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 19:08:25 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 19:08:25 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 19:08:25 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 19:08:25 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.27s using src.create_dataset.create_dataset 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.28s) === 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 19:08:25 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 19:08:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 19:08:25 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:08:32 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:08:33 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:08:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 19:08:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 19:08:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 19:08:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 19:08:33 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:08:33 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 8.50s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 69, in collect_stats trainer.collect_stats() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/training/trainer.py", line 205, in collect_stats return self.model.collect_stats(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 444, in collect_stats collect_stats( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 512, in collect_stats sum_dict, sq_dict, count_dict = _collect_stats_common( ^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 375, in _collect_stats_common results = runner(index_batches) ^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 340, in __call__ return self._run_local(indices) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in _run_local return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 328, in forward return batch_collect_stats( ^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 44, in batch_collect_stats item = dataset[i] ~~~~~~~^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/dataset.py", line 151, in __getitem__ transformed = self.transforms[i][1](str(idx), transformed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/preprocessor.py", line 547, in __call__ data = self._speech_process(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/preprocessor.py", line 451, in _speech_process data[self.speech_name] = self.data_aug( ^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/layers/augmentation.py", line 100, in __call__ if isinstance(effect[1], list): ~~~~~~^^^ IndexError: list index out of range 2026-01-08 19:16:30 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T19:16:30.139396 === 2026-01-08 19:16:30 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 19:16:30 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 19:16:30 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 19:16:30 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 19:16:30 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=7fae474de17d0a228f7ebb269ada1103e8014e6c, short_commit=7fae474de1, branch=espnet3/integration_test, worktree=dirty 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor _convert_: all fs: 16000 train: true data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 19:16:43 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 19:16:43 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 19:16:43 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 19:16:43 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 19:16:44 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 19:16:44 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.20s using src.create_dataset.create_dataset 2026-01-08 19:16:44 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.20s) === 2026-01-08 19:16:44 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 19:16:44 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 19:16:44 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 19:16:44 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 19:16:44 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:16:51 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:16:51 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:16:51 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 19:16:51 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 19:16:51 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 19:16:51 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 19:16:52 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:16:52 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 8.42s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 69, in collect_stats trainer.collect_stats() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/training/trainer.py", line 205, in collect_stats return self.model.collect_stats(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 444, in collect_stats collect_stats( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 512, in collect_stats sum_dict, sq_dict, count_dict = _collect_stats_common( ^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 375, in _collect_stats_common results = runner(index_batches) ^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 340, in __call__ return self._run_local(indices) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in _run_local return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 328, in forward return batch_collect_stats( ^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 56, in batch_collect_stats batch = collate_fn(structured_items) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/collate_fn.py", line 38, in __call__ return common_collate_fn( ^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/collate_fn.py", line 404, in common_collate_fn if data[0][key].dtype.kind == "i": ^^^^^^^^^^^^^^^^^^ AttributeError: 'str' object has no attribute 'dtype' 2026-01-08 19:22:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T19:22:11.289407 === 2026-01-08 19:22:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 19:22:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 19:22:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 19:22:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 19:22:11 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=7fae474de17d0a228f7ebb269ada1103e8014e6c, short_commit=7fae474de1, branch=espnet3/integration_test, worktree=dirty 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor _convert_: all fs: 16000 train: true data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 19:22:24 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 19:22:24 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 19:22:24 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 19:22:24 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 19:22:24 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.18s using src.create_dataset.create_dataset 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.18s) === 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 19:22:24 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 19:22:24 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 19:22:24 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:22:32 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:22:33 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:22:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 19:22:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 19:22:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 19:22:33 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 19:22:33 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:22:33 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'collect_stats' failed after 9.07s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 84, in collect_stats return collect_stats(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 69, in collect_stats trainer.collect_stats() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/training/trainer.py", line 205, in collect_stats return self.model.collect_stats(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 444, in collect_stats collect_stats( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 512, in collect_stats sum_dict, sq_dict, count_dict = _collect_stats_common( ^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 375, in _collect_stats_common results = runner(index_batches) ^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 340, in __call__ return self._run_local(indices) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in _run_local return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/parallel/base_runner.py", line 209, in return [f(i, **env) for i in tqdm(indices, total=len(indices))] ^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 328, in forward return batch_collect_stats( ^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/data/collect_stats.py", line 56, in batch_collect_stats batch = collate_fn(structured_items) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/collate_fn.py", line 38, in __call__ return common_collate_fn( ^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet2/train/collate_fn.py", line 405, in common_collate_fn if data[0][key].dtype.kind == "i": ^^^^^^^^^^^^^^^^^^ AttributeError: 'str' object has no attribute 'dtype' 2026-01-08 19:24:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:152 | === ESPnet3 run started: 2026-01-08T19:24:25.834405 === 2026-01-08 19:24:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:153 | Command: /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin/python run.py --train_config conf/train_asr_rnn_data_aug_debug.yaml --infer_config conf/infer.yaml --measure_config conf/measure.yaml 2026-01-08 19:24:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:156 | Working directory: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr 2026-01-08 19:24:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | train config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/train_asr_rnn_data_aug_debug.yaml 2026-01-08 19:24:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | infer config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/infer.yaml 2026-01-08 19:24:25 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:162 | measure config: /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/conf/measure.yaml 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:167 | Git: commit=7fae474de17d0a228f7ebb269ada1103e8014e6c, short_commit=7fae474de1, branch=espnet3/integration_test, worktree=dirty 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:250 | Cluster env: (none) 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/logging.py:251 | Runtime env: LD_LIBRARY_PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/lib64:/usr/local/cuda-10.1/lib64 PATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/ffmpeg-release:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/festival/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/MBROLA/Bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/espeak-ng/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/BeamformIt:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kenlm/build/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/PESQ/P862_annex_A_2005_CD/source:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/nkf/nkf-2.1.4:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/tokenizer:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/generic:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/tools/moses/scripts/recaser:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/moses/scripts/training:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/mwerSegmenter:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sctk/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sph2pipe:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/sentencepiece_commands:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/chainbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/featbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/fstbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/gmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/ivectorbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/kwsbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/latbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/lmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnet3bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/nnetbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/online2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/onlinebin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/rnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmm2bin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/sgmmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/tfrnnlmbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudadecoderbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/kaldi/src/cudafeatbin:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/bin:/home/masao/.local/bin:/home/masao/utils:/home/masao/git/SCTK/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/wsl/lib:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/debugCommand:/mnt/c/Users/might/AppData/Roaming/Code/User/globalStorage/github.copilot-chat/copilotCli:/mnt/c/Windows/system32:/mnt/c/Windows:/mnt/c/Windows/System32/Wbem:/mnt/c/Windows/System32/WindowsPowerShell/v1.0/:/mnt/c/Windows/System32/OpenSSH/:/mnt/c/Program Files (x86)/NVIDIA Corporation/PhysX/Common:/mnt/c/Program Files/NVIDIA Corporation/NVIDIA NvDLISR:/mnt/c/Program Files/dotnet/:/mnt/c/Program Files/Git/cmd:/mnt/c/Program Files/Tailscale/:/mnt/c/Users/might/AppData/Local/Microsoft/WindowsApps:/mnt/c/Users/might/AppData/Local/Programs/Microsoft VS Code/bin:/mnt/c/Users/might/AppData/Local/Muse Hub/lib:/mnt/c/Software/cmake-3.30.2-windows-x86_64/bin:/mnt/c/Software/flutter/bin:/mnt/c/Users/might/.vscode/extensions/ms-python.debugpy-2025.18.0-win32-x64/bundled/scripts/noConfigScripts:/snap/bin:/mnt/c/Software/flutter/bin PYTHONPATH=/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3:/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/RawNet/python/RawNet3/models:../../../:../../TEMPLATE/asr:/mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr: 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:140 | Train config content: num_device: 1 num_nodes: 1 task: espnet3.systems.asr.task.ASRTask recipe_dir: . data_dir: ./data exp_tag: train_asr_rnn_data_aug_debug exp_dir: ./exp/train_asr_rnn_data_aug_debug stats_dir: ./exp/stats decode_dir: ./exp/train_asr_rnn_data_aug_debug/decode dataset_dir: ./data/mini_an4 create_dataset: func: src.create_dataset.create_dataset dataset_dir: ./data/mini_an4 archive_path: ./../../egs2/mini_an4/asr1/downloads.tar.gz dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer train: - name: train_nodev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_nodev.tsv valid: - name: train_dev dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/train_dev.tsv preprocessor: _target_: espnet2.train.preprocessor.CommonPreprocessor _convert_: all fs: 16000 train: true data_aug_effects: - - 0.1 - contrast - enhancement_amount: 75.0 - - 0.1 - highpass - cutoff_freq: 5000 Q: 0.707 - - 0.1 - equalization - center_freq: 1000 gain: 0 Q: 0.707 - - 0.1 - - - 0.3 - speed_perturb - factor: 0.9 - - 0.3 - speed_perturb - factor: 1.1 - - 0.3 - speed_perturb - factor: 1.3 data_aug_num: - 1 - 4 data_aug_prob: 1.0 token_type: bpe token_list: ./data/bpe_30/tokens.txt bpemodel: ./data/bpe_30/bpe.model parallel: env: local n_workers: 1 dataloader: collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 train: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: true collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 num_workers: 0 batches: type: folded shape_files: - ./exp/stats/train/feats_shape batch_size: 2 batch_bins: 200000 valid: multiple_iterator: false num_shards: 1 iter_factory: _target_: espnet2.iterators.sequence_iter_factory.SequenceIterFactory shuffle: false collate_fn: _target_: espnet2.train.collate_fn.CommonCollateFn int_pad_value: -1 batches: type: folded shape_files: - ./exp/stats/valid/feats_shape batch_size: 2 batch_bins: 200000 optim: _target_: torch.optim.Adam lr: 0.001 weight_decay: 0.0 scheduler: _target_: torch.optim.lr_scheduler.ReduceLROnPlateau mode: min factor: 0.5 patience: 1 val_scheduler_criterion: - valid - loss best_model_criterion: - - valid/acc - 1 - max trainer: accelerator: auto devices: 1 num_nodes: 1 accumulate_grad_batches: 1 check_val_every_n_epoch: 1 gradient_clip_val: 1.0 log_every_n_steps: 1 max_epochs: 1 limit_train_batches: 1 limit_val_batches: 1 precision: 32 logger: - _target_: lightning.pytorch.loggers.TensorBoardLogger save_dir: ./exp/train_asr_rnn_data_aug_debug/tensorboard name: tb_logger strategy: auto tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 text_builder: func: src.tokenizer.gather_training_text manifest_path: ./data/mini_an4/manifest/train_nodev.tsv model: vocab_size: 30 token_list: ./data/bpe_30/tokens.txt encoder: vgg_rnn encoder_conf: num_layers: 1 hidden_size: 2 output_size: 2 decoder: rnn decoder_conf: hidden_size: 2 normalize: utterance_mvn normalize_conf: {} model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false frontend: default frontend_conf: n_fft: 512 win_length: 400 hop_length: 160 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:144 | Infer config content: num_device: 1 num_nodes: 1 recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv parallel: env: local n_workers: 1 model: _target_: espnet2.bin.asr_inference.Speech2Text asr_train_config: ./exp/mini_an4_asr_debug/config.yaml asr_model_file: ./exp/mini_an4_asr_debug/last.ckpt beam_size: 1 ctc_weight: 0.3 tokenizer: vocab_size: 30 character_coverage: 1.0 model_type: bpe save_path: ./data/bpe_30 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:148 | Measure config content: recipe_dir: . data_dir: ./data exp_tag: mini_an4_asr_debug exp_dir: ./exp/mini_an4_asr_debug stats_dir: ./exp/stats decode_dir: ./exp/mini_an4_asr_debug/decode dataset_dir: ./data/mini_an4 dataset: _target_: espnet3.components.data.data_organizer.DataOrganizer test: - name: test dataset: _target_: src.dataset.MiniAN4Dataset manifest_path: ./data/mini_an4/manifest/test.tsv metrics: - metric: _target_: espnet3.systems.asr.metrics.wer.WER clean_types: null - metric: _target_: espnet3.systems.asr.metrics.cer.CER clean_types: null 2026-01-08 19:24:38 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:49 | Initialized ASRSystem with train_config=True infer_config=True measure_config=True exp_dir=exp/train_asr_rnn_data_aug_debug 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:165 | System: ASRSystem 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:166 | Requested stages: ['all'] 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/TEMPLATE/asr/run.py:167 | Resolved stages: ['create_dataset', 'train_tokenizer', 'collect_stats', 'train', 'infer', 'measure', 'publish'] 2026-01-08 19:24:38 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: create_dataset === 2026-01-08 19:24:38 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:54 | ASRSystem.create_dataset(): starting dataset creation process 2026-01-08 19:24:38 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:63 | Creating dataset with function src.create_dataset.create_dataset 2026-01-08 19:24:39 | INFO | src.create_dataset | /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/src/create_dataset.py:148 | Prepared Mini AN4 manifests under data/mini_an4/manifest 2026-01-08 19:24:39 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:65 | Dataset creation completed in 0.16s using src.create_dataset.create_dataset 2026-01-08 19:24:39 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: create_dataset (0.16s) === 2026-01-08 19:24:39 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train_tokenizer === 2026-01-08 19:24:39 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:115 | Tokenizer already exists. Skipping train_tokenizer(). 2026-01-08 19:24:39 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: train_tokenizer (0.00s) === 2026-01-08 19:24:39 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: collect_stats === 2026-01-08 19:24:39 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:79 | Collecting stats | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:24:46 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:24:46 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:24:46 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 19:24:46 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 19:24:46 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 19:24:46 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 19:24:47 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:24:48 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:24:48 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:70 | Collect stats finished in 9.26s | exp_dir=./exp/train_asr_rnn_data_aug_debug stats_dir=./exp/stats 2026-01-08 19:24:48 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:74 | === [DONE] stage: collect_stats (9.27s) === 2026-01-08 19:24:48 | INFO | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:59 | === [START] stage: train === 2026-01-08 19:24:48 | INFO | espnet3.systems.asr.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py:82 | ASRSystem.train(): starting training process 2026-01-08 19:24:48 | INFO | espnet3.systems.base.system | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py:94 | Training start | exp_dir=./exp/train_asr_rnn_data_aug_debug model= 2026-01-08 19:24:48 | INFO | root | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/task.py:548 | Vocabulary size: 30 2026-01-08 19:24:48 | INFO | espnet3.systems.base.train | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py:33 | Model: ESPnetASRModel( (frontend): DefaultFrontend( (stft): Stft(n_fft=512, win_length=400, hop_length=160, center=True, normalized=False, onesided=True) (frontend): Frontend() (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False) ) (normalize): UtteranceMVN(norm_means=True, norm_vars=False) (encoder): VGGRNNEncoder( (enc): ModuleList( (0): VGG2L( (conv1_1): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv1_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (1): RNNP( (birnn0): LSTM(2560, 2, batch_first=True, bidirectional=True) (bt0): Linear(in_features=4, out_features=2, bias=True) ) ) ) (decoder): RNNDecoder( (embed): Embedding(30, 2) (dropout_emb): Dropout(p=0.0, inplace=False) (decoder): ModuleList( (0): LSTMCell(4, 2) ) (dropout_dec): ModuleList( (0): Dropout(p=0.0, inplace=False) ) (output): Linear(in_features=2, out_features=30, bias=True) (att_list): ModuleList( (0): AttLoc( (mlp_enc): Linear(in_features=2, out_features=320, bias=True) (mlp_dec): Linear(in_features=2, out_features=320, bias=False) (mlp_att): Linear(in_features=10, out_features=320, bias=False) (loc_conv): Conv2d(1, 10, kernel_size=(1, 201), stride=(1, 1), padding=(0, 100), bias=False) (gvec): Linear(in_features=320, out_features=1, bias=True) ) ) ) (criterion_att): LabelSmoothingLoss( (criterion): KLDivLoss() ) (ctc): CTC( (ctc_lo): Linear(in_features=2, out_features=30, bias=True) (ctc_loss): CTCLoss() ) ) 2026-01-08 19:24:48 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:155 | GPU available: True (cuda), used: True 2026-01-08 19:24:48 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:158 | TPU available: False, using: 0 TPU cores 2026-01-08 19:24:48 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_train_batches=1)` was configured so 1 batch per epoch will be used. 2026-01-08 19:24:48 | INFO | lightning.pytorch.utilities.rank_zero | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/setup.py:105 | `Trainer(limit_val_batches=1)` was configured so 1 batch will be used. 2026-01-08 19:24:52 | WARNING | py.warnings | /home/masao/.local/share/uv/python/cpython-3.11.13-linux-x86_64-gnu/lib/python3.11/warnings.py:110 | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/callbacks/model_checkpoint.py:751: Checkpoint directory /mnt/c/Users/might/Documents/git/espnets/espnet3/egs3/mini_an4/asr/exp/train_asr_rnn_data_aug_debug exists and is not empty. 2026-01-08 19:24:52 | INFO | lightning.pytorch.accelerators.cuda | /mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/accelerators/cuda.py:61 | LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] 2026-01-08 19:24:52 | ERROR | espnet3 | /mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py:70 | Stage 'train' failed after 3.81s Traceback (most recent call last): File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/utils/stages.py", line 61, in run_stages fn() File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/asr/system.py", line 93, in train return super().train() ^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/system.py", line 99, in train return train(self.train_config) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/systems/base/train.py", line 101, in train trainer.fit(**fit_kwargs) File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/training/trainer.py", line 175, in fit self.trainer.fit( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 560, in fit call._call_and_handle_interrupt( File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 49, in _call_and_handle_interrupt return trainer_fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 598, in _fit_impl self._run(model, ckpt_path=ckpt_path) File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 987, in _run self.strategy.setup(self) File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 159, in setup self.setup_optimizers(trainer) File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 139, in setup_optimizers self.optimizers, self.lr_scheduler_configs = _init_optimizers_and_lr_schedulers(self.lightning_module) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/core/optimizer.py", line 180, in _init_optimizers_and_lr_schedulers optim_conf = call._call_lightning_module_hook(model.trainer, "configure_optimizers", pl_module=model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/tools/.venv/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 177, in _call_lightning_module_hook output = fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 367, in configure_optimizers lr_scheduler = _build_lr_scheduler_config(scheduler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 358, in _build_lr_scheduler_config monitor = _get_val_scheduler_monitor() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/mnt/c/Users/might/Documents/git/espnets/espnet3/espnet3/components/modeling/model.py", line 250, in _get_val_scheduler_monitor raise ValueError("val_scheduler_criterion must be a string like 'valid/loss'") ValueError: val_scheduler_criterion must be a string like 'valid/loss'