import from zenodo

README.md

@@ -0,0 +1,50 @@
+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: en
+datasets:
+- wsj
+license: cc-by-4.0
+---
+## Example ESPnet2 ASR model 
+### `kamo-naoyuki/wsj_transformer2`
+♻️ Imported from https://zenodo.org/record/4243201/
+
+This model was trained by kamo-naoyuki using wsj/asr1 recipe in [espnet](https://github.com/espnet/espnet/).
+### Demo: How to use in ESPnet2
+```python
+# coming soon
+```
+### Citing ESPnet
+```BibTex
+@inproceedings{watanabe2018espnet,
+  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson {Enrique Yalta Soplin} and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
+  title={{ESPnet}: End-to-End Speech Processing Toolkit},
+  year={2018},
+  booktitle={Proceedings of Interspeech},
+  pages={2207--2211},
+  doi={10.21437/Interspeech.2018-1456},
+  url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
+}
+@inproceedings{hayashi2020espnet,
+  title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
+  author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
+  booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
+  pages={7654--7658},
+  year={2020},
+  organization={IEEE}
+}
+```
+or arXiv:
+```bibtex
+@misc{watanabe2018espnet,
+      title={ESPnet: End-to-End Speech Processing Toolkit}, 
+      author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Enrique Yalta Soplin and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
+      year={2018},
+      eprint={1804.00015},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

exp/asr_train_asr_transformer_raw_char/RESULTS.md

@@ -0,0 +1,153 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Mon Nov  2 11:11:02 JST 2020`
+- python version: `3.7.3 (default, Mar 27 2019, 22:11:17)  [GCC 7.3.0]`
+- espnet version: `espnet 0.9.0`
+- pytorch version: `pytorch 1.5.1`
+- Git hash: `d34c89ed9505fa7559e4caa1c518fc35b199a4d3`
+  - Commit date: `Tue Oct 20 09:23:48 2020 +0900`
+
+## asr_train_asr_transformer_raw_char
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode.conf_ctc_weight0.1_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|88.7|10.1|1.2|1.4|12.7|78.9|
+|decode.conf_ctc_weight0.1_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|91.5|8.0|0.5|1.4|9.9|68.5|
+|decode.conf_ctc_weight0.1_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|91.2|7.8|0.9|1.1|9.9|68.8|
+|decode.conf_ctc_weight0.1_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|93.6|6.0|0.4|1.0|7.4|58.9|
+|decode.conf_ctc_weight0.1_lm_weight0.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|92.4|6.7|0.9|1.0|8.6|63.0|
+|decode.conf_ctc_weight0.1_lm_weight0.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|94.7|4.9|0.4|0.9|6.2|51.4|
+|decode.conf_ctc_weight0.1_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.3|5.7|1.0|0.9|7.5|57.9|
+|decode.conf_ctc_weight0.1_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.9|3.7|0.4|0.8|4.9|43.2|
+|decode.conf_ctc_weight0.1_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.2|5.6|1.2|0.9|7.6|57.1|
+|decode.conf_ctc_weight0.1_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.9|3.6|0.5|0.8|5.0|42.9|
+|decode.conf_ctc_weight0.1_lm_weight1.2_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.0|5.6|1.4|0.9|8.0|58.1|
+|decode.conf_ctc_weight0.1_lm_weight1.2_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.7|3.6|0.6|1.0|5.2|44.4|
+|decode.conf_ctc_weight0.3_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|88.4|10.4|1.2|1.3|12.9|78.7|
+|decode.conf_ctc_weight0.3_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|91.2|8.2|0.6|1.3|10.1|69.7|
+|decode.conf_ctc_weight0.3_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|91.0|8.1|0.9|1.1|10.1|70.2|
+|decode.conf_ctc_weight0.3_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|93.2|6.5|0.3|1.0|7.8|61.3|
+|decode.conf_ctc_weight0.3_lm_weight0.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|92.1|7.0|0.9|1.0|8.9|64.8|
+|decode.conf_ctc_weight0.3_lm_weight0.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|94.6|5.1|0.3|0.9|6.4|52.9|
+|decode.conf_ctc_weight0.3_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.3|5.8|0.8|0.8|7.5|58.3|
+|decode.conf_ctc_weight0.3_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.7|4.0|0.3|0.9|5.2|45.3|
+|decode.conf_ctc_weight0.3_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.7|5.5|0.8|0.8|7.1|55.9|
+|decode.conf_ctc_weight0.3_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.9|3.8|0.3|0.9|4.9|42.9|
+|decode.conf_ctc_weight0.3_lm_weight1.2_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.8|5.4|0.8|0.8|7.0|55.1|
+|decode.conf_ctc_weight0.3_lm_weight1.2_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|96.0|3.7|0.3|0.8|4.7|42.3|
+|decode.conf_ctc_weight0.3_lm_weight1.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.8|5.4|0.8|0.8|7.0|55.5|
+|decode.conf_ctc_weight0.3_lm_weight1.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|96.1|3.7|0.2|0.8|4.7|43.5|
+|decode.conf_ctc_weight0.3_lm_weight1.4_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.6|5.6|0.8|0.9|7.3|56.5|
+|decode.conf_ctc_weight0.3_lm_weight1.4_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|96.0|3.7|0.3|0.8|4.7|44.1|
+|decode.conf_ctc_weight0.3_lm_weight1.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.6|5.7|0.8|0.9|7.4|56.9|
+|decode.conf_ctc_weight0.3_lm_weight1.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|96.0|3.7|0.3|0.8|4.8|44.1|
+|decode.conf_ctc_weight0.3_lm_weight1.6_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.4|5.8|0.8|1.0|7.6|56.9|
+|decode.conf_ctc_weight0.3_lm_weight1.6_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.9|3.8|0.2|0.9|5.0|43.5|
+|decode.conf_ctc_weight0.3_lm_weight2.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|92.9|6.4|0.8|1.2|8.4|58.8|
+|decode.conf_ctc_weight0.3_lm_weight2.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.3|4.4|0.3|1.1|5.8|46.5|
+|decode.conf_ctc_weight0.3_lm_weight2.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|91.3|7.6|1.1|1.6|10.2|66.2|
+|decode.conf_ctc_weight0.3_lm_weight2.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|93.7|5.8|0.4|1.5|7.7|54.4|
+|decode.conf_ctc_weight0.3_lm_weight3.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|88.8|10.0|1.2|2.1|13.4|72.8|
+|decode.conf_ctc_weight0.3_lm_weight3.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|90.9|8.3|0.8|2.3|11.4|66.4|
+|decode.conf_ctc_weight0.5_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|88.0|10.7|1.2|1.3|13.2|79.1|
+|decode.conf_ctc_weight0.5_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|91.0|8.4|0.6|1.3|10.3|70.0|
+|decode.conf_ctc_weight0.5_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|90.3|8.7|1.0|1.1|10.8|72.2|
+|decode.conf_ctc_weight0.5_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|92.9|6.7|0.4|1.0|8.1|62.2|
+|decode.conf_ctc_weight0.5_lm_weight0.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|91.7|7.3|0.9|1.0|9.3|66.8|
+|decode.conf_ctc_weight0.5_lm_weight0.5_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|94.2|5.5|0.3|0.9|6.7|54.1|
+|decode.conf_ctc_weight0.5_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|92.9|6.3|0.8|0.9|8.0|60.2|
+|decode.conf_ctc_weight0.5_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.4|4.3|0.3|0.7|5.3|47.1|
+|decode.conf_ctc_weight0.5_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.3|5.9|0.8|0.8|7.5|58.1|
+|decode.conf_ctc_weight0.5_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.8|4.0|0.3|0.7|5.0|44.7|
+|decode.conf_ctc_weight0.5_lm_weight1.2_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.5|5.7|0.8|0.9|7.3|56.9|
+|decode.conf_ctc_weight0.5_lm_weight1.2_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.9|3.9|0.3|0.8|4.9|44.1|
+|decode.conf_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.7|5.5|0.8|0.8|7.1|55.9|
+|decode.conf_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.9|3.8|0.3|0.9|4.9|42.9|
+|inference_asr_model_valid.acc.ave/test_dev93|503|8234|86.2|12.3|1.4|1.4|15.1|84.1|
+|inference_asr_model_valid.acc.ave/test_eval92|333|5643|89.3|9.8|0.9|1.4|12.1|75.1|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.3|5.9|0.8|0.8|7.5|58.1|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.8|4.0|0.3|0.7|5.0|44.7|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.2|5.9|0.8|0.9|7.6|59.0|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.8|4.0|0.2|0.7|4.9|45.6|
+|inference_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|0.0|0.0|100.0|0.0|100.0|100.0|
+|inference_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|0.0|0.0|100.0|0.0|100.0|100.0|
+|inference_lm_lm_train_lm_transformer_char_batch_bins350000_accum_grad2_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|94.2|5.1|0.7|0.8|6.6|53.3|
+|inference_lm_lm_train_lm_transformer_char_batch_bins350000_accum_grad2_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|96.2|3.6|0.2|0.7|4.6|41.1|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|8234|92.3|6.8|1.0|1.0|8.8|62.2|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|5643|94.8|4.8|0.5|0.9|6.1|48.6|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|8234|80.9|17.4|1.7|2.6|21.7|90.7|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|5643|84.3|14.6|1.1|2.4|18.1|86.8|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode.conf_ctc_weight0.1_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|96.7|1.7|1.6|1.0|4.3|80.7|
+|decode.conf_ctc_weight0.1_lm_weight0.1_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|97.8|1.2|1.0|0.9|3.2|73.3|
+|decode.conf_ctc_weight0.1_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.2|1.4|1.4|0.7|3.5|71.6|
+|decode.conf_ctc_weight0.1_lm_weight0.3_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.2|0.9|0.9|0.7|2.5|65.2|
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+|decode.conf_ctc_weight0.3_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.5|0.7|0.8|0.5|2.0|50.8|
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+|decode.conf_ctc_weight0.5_lm_weight0.8_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.4|0.7|0.8|0.5|2.1|55.3|
+|decode.conf_ctc_weight0.5_lm_weight1.0_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.6|1.1|1.3|0.6|3.0|62.8|
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+|decode.conf_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.6|1.1|1.3|0.5|2.9|61.8|
+|decode.conf_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.5|0.7|0.8|0.5|2.0|50.8|
+|inference_asr_model_valid.acc.ave/test_dev93|503|48634|96.2|2.0|1.8|1.0|4.8|85.3|
+|inference_asr_model_valid.acc.ave/test_eval92|333|33341|97.4|1.4|1.3|1.0|3.6|78.7|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.6|1.1|1.3|0.6|3.0|62.8|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.5|0.7|0.8|0.5|2.0|53.2|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.5|1.2|1.3|0.5|3.1|63.6|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.5|0.7|0.8|0.5|2.0|53.2|
+|inference_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|0.0|0.0|100.0|0.0|100.0|100.0|
+|inference_lm_lm_train_lm_char_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|0.0|0.0|100.0|0.0|100.0|100.0|
+|inference_lm_lm_train_lm_transformer_char_batch_bins350000_accum_grad2_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.8|1.0|1.2|0.5|2.7|59.2|
+|inference_lm_lm_train_lm_transformer_char_batch_bins350000_accum_grad2_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.6|0.6|0.7|0.4|1.8|49.8|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|48634|97.0|1.4|1.6|0.7|3.6|67.2|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|33341|98.0|0.9|1.0|0.5|2.5|56.8|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|48634|94.4|2.8|2.9|1.5|7.1|91.3|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|33341|95.6|2.2|2.1|1.3|5.7|88.9|
+

exp/asr_train_asr_transformer_raw_char/config.yaml

@@ -0,0 +1,207 @@
+config: conf/train_asr_transformer.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_transformer_raw_char
+ngpu: 1
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: 0
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 100
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 10
+grad_clip: 5.0
+grad_noise: false
+accum_grad: 8
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+log_interval: null
+pretrain_path: []
+pretrain_key: []
+num_iters_per_epoch: null
+batch_size: 32
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_char/train/speech_shape
+- exp/asr_stats_raw_char/train/text_shape.char
+valid_shape_file:
+- exp/asr_stats_raw_char/valid/speech_shape
+- exp/asr_stats_raw_char/valid/text_shape.char
+batch_type: folded
+valid_batch_type: null
+fold_length:
+- 80000
+- 150
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train_si284/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_si284/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/test_dev93/wav.scp
+    - speech
+    - sound
+-   - dump/raw/test_dev93/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 30000
+token_list:
+- <blank>
+- <unk>
+- <space>
+- E
+- T
+- A
+- N
+- I
+- O
+- S
+- R
+- H
+- L
+- D
+- C
+- U
+- M
+- P
+- F
+- G
+- Y
+- W
+- B
+- V
+- K
+- .
+- X
+- ''''
+- J
+- Q
+- Z
+- <NOISE>
+- ','
+- '-'
+- '"'
+- '*'
+- ':'
+- (
+- )
+- '?'
+- '!'
+- '&'
+- ;
+- '1'
+- '2'
+- '0'
+- /
+- $
+- '{'
+- '}'
+- '8'
+- '9'
+- '6'
+- '3'
+- '5'
+- '7'
+- '4'
+- '~'
+- '`'
+- _
+- <*IN*>
+- <*MR.*>
+- \
+- ^
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+use_preprocessor: true
+token_type: char
+bpemodel: null
+non_linguistic_symbols: data/nlsyms.txt
+cleaner: null
+g2p: null
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: null
+specaug_conf: {}
+normalize: global_mvn
+normalize_conf:
+    stats_file: exp/asr_stats_raw_char/train/feats_stats.npz
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+distributed: false

exp/asr_train_asr_transformer_raw_char/valid.acc.ave_10best.pth

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+size 108794253

exp/lm_train_lm_transformer_char_batch_bins350000_accum_grad2/config.yaml

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+config: ./conf/tuning/train_lm_transformer.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/lm_train_lm_transformer_char_batch_bins350000_accum_grad2
+ngpu: 1
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 4
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 55530
+dist_launcher: null
+multiprocessing_distributed: true
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 25
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - loss
+    - min
+keep_nbest_models: 10
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 2
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+log_interval: null
+pretrain_path: []
+pretrain_key: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 350000
+valid_batch_bins: null
+train_shape_file:
+- exp/lm_stats_char/train/text_shape.char
+valid_shape_file:
+- exp/lm_stats_char/valid/text_shape.char
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 150
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/srctexts
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/test_dev93/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.001
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- <space>
+- E
+- T
+- A
+- N
+- I
+- O
+- S
+- R
+- H
+- L
+- D
+- C
+- U
+- M
+- P
+- F
+- G
+- Y
+- W
+- B
+- V
+- K
+- .
+- X
+- ''''
+- J
+- Q
+- Z
+- <NOISE>
+- ','
+- '-'
+- '"'
+- '*'
+- ':'
+- (
+- )
+- '?'
+- '!'
+- '&'
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+- '1'
+- '2'
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+- '8'
+- '9'
+- '6'
+- '3'
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+- '4'
+- '~'
+- '`'
+- _
+- <*IN*>
+- <*MR.*>
+- \
+- ^
+- <sos/eos>
+init: null
+model_conf:
+    ignore_id: 0
+use_preprocessor: true
+token_type: char
+bpemodel: null
+non_linguistic_symbols: data/nlsyms.txt
+cleaner: null
+g2p: null
+lm: transformer
+lm_conf:
+    pos_enc: null
+    embed_unit: 128
+    att_unit: 512
+    head: 8
+    unit: 2048
+    layer: 16
+    dropout_rate: 0.1
+required:
+- output_dir
+- token_list
+distributed: true

exp/lm_train_lm_transformer_char_batch_bins350000_accum_grad2/perplexity_test/ppl

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exp/lm_train_lm_transformer_char_batch_bins350000_accum_grad2/valid.loss.ave_10best.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7d146c65b87622bed75a7135f1abb9c9b81faa853711ccbf53ea7b55610f3d24
+size 202251148

meta.yaml

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+espnet: 0.9.0
+files:
+  asr_model_file: exp/asr_train_asr_transformer_raw_char/valid.acc.ave_10best.pth
+  lm_file: exp/lm_train_lm_transformer_char_batch_bins350000_accum_grad2/valid.loss.ave_10best.pth
+python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]"
+timestamp: 1604283096.806448
+torch: 1.5.1
+yaml_files:
+  asr_train_config: exp/asr_train_asr_transformer_raw_char/config.yaml
+  lm_train_config: exp/lm_train_lm_transformer_char_batch_bins350000_accum_grad2/config.yaml