가이드에서 사용하는 코랩 노트북이 제대로 작동하지 않는 것 같습니다.
noname7777777 opened this issue · comments
정확히는 모든 사전 준비를 끝내고 학습 시작을 위해 마지막 셀을 실행시킬 경우 Pretrained KSS 모델을 다운로드받은 뒤 학습을 시작하기 직전에 파일 없음 예외가 뜨면서 뻗네요.
아래는 로그입니다.
/content/espnet/egs2/finetune/tts1
rm: cannot remove 'tmp': No such file or directory
rm: cannot remove 'dump': No such file or directory
rm: cannot remove 'exp': No such file or directory
<<<<<<<<<< Data Processing, org to kaldi format >>>>>>>>>>
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utils/fix_data_dir.sh: file data/train/utt2spk is not in sorted order or not unique, sorting it
utils/fix_data_dir.sh: file data/train/text is not in sorted order or not unique, sorting it
utils/fix_data_dir.sh: file data/train/wav.scp is not in sorted order or not unique, sorting it
fix_data_dir.sh: kept all 30 utterances.
fix_data_dir.sh: old files are kept in data/train/.backup
utils/fix_data_dir.sh: file data/eval/utt2spk is not in sorted order or not unique, sorting it
utils/fix_data_dir.sh: file data/eval/text is not in sorted order or not unique, sorting it
utils/fix_data_dir.sh: file data/eval/wav.scp is not in sorted order or not unique, sorting it
fix_data_dir.sh: kept all 10 utterances.
fix_data_dir.sh: old files are kept in data/eval/.backup
utils/split_scp.pl: You are splitting into too many pieces! [reduce $nj (32) to be smaller than the number of lines (30) in data/train/wav.scp]
fix_data_dir.sh: kept all 30 utterances.
fix_data_dir.sh: old files are kept in data/train/.backup
utils/split_scp.pl: You are splitting into too many pieces! [reduce $nj (32) to be smaller than the number of lines (10) in data/eval/wav.scp]
fix_data_dir.sh: kept all 10 utterances.
fix_data_dir.sh: old files are kept in data/eval/.backup
<<<<<<<<<< Data Processing, dump data >>>>>>>>>>
2022-10-30T11:25:01 (tts.sh:211:main) ./tts.sh --tts_task tts --feats_extract fbank --feats_normalize global_mvn --local_data_opts --text_format raw --audio_format wav --lang ko --feats_type raw --fs 24000 --n_fft 2048 --n_shift 300 --win_length 1200 --token_type phn --cleaner none --g2p g2pk_no_space --train_config conf/train.yaml --inference_config conf/decode.yaml --train_set train --valid_set eval --test_sets eval --srctexts data/train/text --tts_task gan_tts --min_wav_duration 0.683 --fs 24000 --fmin 0 --fmax null --n_fft 1024 --n_shift 256 --win_length null --train_config conf/tuning/finetune_jets.yaml --token_type phn --g2p g2pk --cleaner null --stage 2 --stop-stage 5 --expdir /content/drive/MyDrive/exp --expdir /content/drive/MyDrive/exp
2022-10-30T11:25:01 (tts.sh:323:main) Stage 2: Format wav.scp: data/ -> dump/raw/
utils/copy_data_dir.sh: copied data from data/train to dump/raw/org/train
utils/validate_data_dir.sh: WARNING: you have only one speaker. This probably a bad idea.
Search for the word 'bold' in http://kaldi-asr.org/doc/data_prep.html
for more information.
utils/validate_data_dir.sh: Successfully validated data-directory dump/raw/org/train
2022-10-30T11:25:01 (format_wav_scp.sh:42:main) scripts/audio/format_wav_scp.sh --nj 32 --cmd run.pl --audio-format wav --fs 24000 data/train/wav.scp dump/raw/org/train
2022-10-30T11:25:01 (format_wav_scp.sh:110:main) [info]: without segments
2022-10-30T11:25:17 (format_wav_scp.sh:142:main) Successfully finished. [elapsed=16s]
utils/copy_data_dir.sh: copied data from data/eval to dump/raw/org/eval
utils/validate_data_dir.sh: WARNING: you have only one speaker. This probably a bad idea.
Search for the word 'bold' in http://kaldi-asr.org/doc/data_prep.html
for more information.
utils/validate_data_dir.sh: Successfully validated data-directory dump/raw/org/eval
2022-10-30T11:25:17 (format_wav_scp.sh:42:main) scripts/audio/format_wav_scp.sh --nj 32 --cmd run.pl --audio-format wav --fs 24000 data/eval/wav.scp dump/raw/org/eval
2022-10-30T11:25:17 (format_wav_scp.sh:110:main) [info]: without segments
2022-10-30T11:25:23 (format_wav_scp.sh:142:main) Successfully finished. [elapsed=6s]
utils/copy_data_dir.sh: copied data from data/eval to dump/raw/org/eval
utils/validate_data_dir.sh: WARNING: you have only one speaker. This probably a bad idea.
Search for the word 'bold' in http://kaldi-asr.org/doc/data_prep.html
for more information.
utils/validate_data_dir.sh: Successfully validated data-directory dump/raw/org/eval
2022-10-30T11:25:23 (format_wav_scp.sh:42:main) scripts/audio/format_wav_scp.sh --nj 32 --cmd run.pl --audio-format wav --fs 24000 data/eval/wav.scp dump/raw/org/eval
2022-10-30T11:25:23 (format_wav_scp.sh:110:main) [info]: without segments
2022-10-30T11:25:28 (format_wav_scp.sh:142:main) Successfully finished. [elapsed=5s]
2022-10-30T11:25:28 (tts.sh:468:main) Stage 3: Remove long/short data: dump/raw/org -> dump/raw
utils/copy_data_dir.sh: copied data from dump/raw/org/train to dump/raw/train
utils/validate_data_dir.sh: WARNING: you have only one speaker. This probably a bad idea.
Search for the word 'bold' in http://kaldi-asr.org/doc/data_prep.html
for more information.
utils/validate_data_dir.sh: Successfully validated data-directory dump/raw/train
fix_data_dir.sh: kept 29 utterances out of 30
fix_data_dir.sh: old files are kept in dump/raw/train/.backup
utils/copy_data_dir.sh: copied data from dump/raw/org/eval to dump/raw/eval
utils/validate_data_dir.sh: WARNING: you have only one speaker. This probably a bad idea.
Search for the word 'bold' in http://kaldi-asr.org/doc/data_prep.html
for more information.
utils/validate_data_dir.sh: Successfully validated data-directory dump/raw/eval
fix_data_dir.sh: kept all 10 utterances.
fix_data_dir.sh: old files are kept in dump/raw/eval/.backup
2022-10-30T11:25:29 (tts.sh:523:main) Stage 4: Generate token_list from data/train/text
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /root/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
[nltk_data] Downloading package cmudict to /root/nltk_data...
[nltk_data] Unzipping corpora/cmudict.zip.
/usr/bin/python3 /usr/local/lib/python3.7/dist-packages/espnet2/bin/tokenize_text.py --token_type phn -f 2- --input dump/raw/srctexts --output dump/token_list/phn_null_g2pk/tokens.txt --non_linguistic_symbols none --cleaner null --g2p g2pk --write_vocabulary true --add_symbol ':0' --add_symbol ':1' --add_symbol '<sos/eos>:-1'
2022-10-30 11:25:32,161 (tokenize_text:172) INFO: OOV rate = 0.0 %
2022-10-30T11:25:32 (tts.sh:555:main) Stage 5: TTS collect stats: train_set=dump/raw/train, valid_set=dump/raw/eval
2022-10-30T11:25:38 (tts.sh:642:main) Generate '/content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/run.sh'. You can resume the process from stage 5 using this script
2022-10-30T11:25:38 (tts.sh:646:main) TTS collect_stats started... log: '/content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.*.log'
/usr/bin/python3 /usr/local/lib/python3.7/dist-packages/espnet2/bin/aggregate_stats_dirs.py --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.1 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.2 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.3 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.4 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.5 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.6 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.7 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.8 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.9 --input_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk/logdir/stats.10 --output_dir /content/drive/MyDrive/exp/tts_stats_raw_phn_null_g2pk
2022-10-30T11:27:10 (tts.sh:1180:main) Skip the uploading stage
2022-10-30T11:27:10 (tts.sh:1232:main) Skip the uploading to HuggingFace stage
2022-10-30T11:27:10 (tts.sh:1235:main) Successfully finished. [elapsed=129s]
<<<<<<<<<< Download Pretrained KSS Model >>>>>>>>>>
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{'train_config': '/content/espnet/egs2/finetune/tts1/downloads/models--imdanboy--kss_tts_train_jets_raw_phn_null_g2pk_train.total_count.ave/snapshots/b059fd8f0fefd7c779cdca610fd29ab7cab692cf/exp/tts_train_jets_raw_phn_null_g2pk/config.yaml', 'model_file': '/content/espnet/egs2/finetune/tts1/downloads/models--imdanboy--kss_tts_train_jets_raw_phn_null_g2pk_train.total_count.ave/snapshots/b059fd8f0fefd7c779cdca610fd29ab7cab692cf/exp/tts_train_jets_raw_phn_null_g2pk/train.total_count.ave_5best.pth'}
Traceback (most recent call last):
File "pyscripts/utils/make_token_list_from_config.py", line 33, in
main()
File "pyscripts/utils/make_token_list_from_config.py", line 20, in main
with open(args.inyaml, "r") as f:
FileNotFoundError: [Errno 2] No such file or directory: 'downloads/imdanboy--kss_tts_train_jets_raw_phn_null_g2pk_train.total_count.ave.main.b059fd8f0fefd7c779cdca610fd29ab7cab692cf/exp/tts_train_jets_raw_phn_null_g2pk/config.yaml'
@noname7777777 안녕하세요 노트북에서 본 레포를 다시 받아오는 셀부터 실행하시면 학습이 진행될 수 있도록 수정했습니다.
올려주신 로그를 보면 학습데이터로 30개만 사용하시는거 같은데 이럴 경우 결과가 안 좋을 수도 있습니다.
@noname7777777 안녕하세요 노트북에서 본 레포를 다시 받아오는 셀부터 실행하시면 학습이 진행될 수 있도록 수정했습니다.
올려주신 로그를 보면 학습데이터로 30개만 사용하시는거 같은데 이럴 경우 결과가 안 좋을 수도 있습니다.
답장이 늦었습니다. 수정 감사합니다.
샘플 갯수 관련해서는 대량으로 작업을 하기전에 미리 테스트겸 소량으로만 넣어본거라 수정된걸 확인했으니 이제 괜찮을듯 싶네요.