├── .gitignore ├── Awards.pdf ├── LICENSE ├── README.md ├── README_zh-TW.md ├── baseline ├── .predict.py.swp ├── chord_labels.txt ├── chord_mapping.py ├── data_utils │ ├── audio_preprocess.py │ ├── chord_utils.py │ ├── dp_post_processing.py │ └── post_process.py ├── model │ └── archive │ │ ├── data.pkl │ │ ├── data │ │ ├── 94561951921248 │ │ ├── 94561953943264 │ │ ├── 94561954135392 │ │ ├── 94561956442144 │ │ └── 94561965724000 │ │ └── version ├── net.py ├── predict.py └── trainer.py ├── convert └── convert.py ├── nvidia-smi4W.bat ├── phase1_competition ├── 1.png ├── AIcup提供dataset說明.docx ├── AIcup提供dataset說明.pdf ├── answerAnalyze.py ├── attentionModel.py ├── checkpoints │ ├── 2020-10-26 │ │ ├── 02.22.52 │ │ │ └── figure.png │ │ ├── 02.25.46 │ │ │ └── figure.png │ │ ├── 02.26.47 │ │ │ └── figure.png │ │ ├── 02.29.16 │ │ │ └── figure.png │ │ ├── 02.30.35 │ │ │ └── figure.png │ │ ├── 02.31.08 │ │ │ └── figure.png │ │ ├── 02.32.47 │ │ │ └── figure.png │ │ ├── 02.34.41 │ │ │ └── figure.png │ │ ├── 02.40.40 │ │ │ └── figure.png │ │ ├── 19.04.35 │ │ │ └── figure.png │ │ ├── 19.06.57 │ │ │ └── figure.png │ │ ├── 19.09.06 │ │ │ └── figure.png │ │ ├── 21.07.49-oneFrame-80.460% │ │ │ └── figure.png │ │ ├── 22.35.25-multiFrame-34.47% │ │ │ └── figure.png │ │ ├── 22.43.10-multiFrame-33.23% │ │ │ └── figure.png │ │ ├── 22.43.28-multiFrame-35.33% │ │ │ └── figure.png │ │ ├── 22.44.18-multiFrame-33.95% │ │ │ └── figure.png │ │ ├── 22.48.47-multiFrame-34.93% │ │ │ └── figure.png │ │ ├── 22.52.21-multiFrame-93.17% │ │ │ └── figure.png │ │ ├── 22.59.30-multiFrame-93.17% │ │ │ └── figure.png │ │ ├── 23.01.51-multiFrame-96.74% │ │ │ └── figure.png │ │ ├── 23.05.11-multiFrame-97.84% │ │ │ └── figure.png │ │ ├── 23.15.13-multiFrame-98.44% │ │ │ └── figure.png │ │ ├── 23.34.58-MF-98.33%-91.593 │ │ │ └── figure.png │ │ ├── 23.39.03-MF-15-98.36%-91.558 │ │ │ └── figure.png │ │ ├── 23.43.04-MF-5-97.15%-97.378 │ │ │ └── figure.png │ │ └── 23.54.04-MF-98.21%-97.701 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-10-27 │ │ ├── 00.02.27-MF-98.24%-97.768 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.07.44-MF-98.24%-97.784 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.15.01-MF-98.73%-96.666 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.18.20-MF-94.64%-93.966 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.19.05-MF-97.44%-96.253 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.20.12-MF-98.07%-96.737 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.22.05-MF-98.73%-96.889 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.02.59-MF-98.10%-98.671 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.10.34-MF-98.82%-98.967 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.29.36-MF-98.67%-99.005 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.46.33-DMF-96.50%-96.487 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.47.59-DMF-99.58%-99.671 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.53.11-DMF-99.60%-99.768 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.04.45-DMF-99.61%-99.754 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.35.37-DMF-98.02%-98.197 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.50.57-DMF-99.57%-99.716 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.59.47-DMF-99.30%-99.439 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 19.05.42-DMF-99.60%-99.725 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 19.57.29-DMF-99.91%-99.818 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.00.36-DMF-99.81%-99.745 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.11.35-DMF-99.86%-99.845 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.31.45-DMF-99.80%-99.774 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.56.02-DMF-99.62%-99.798 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.03.03-DMF-99.75%-99.80753 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.06.56-DMF-99.92%-99.92049 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 23.14.03-DMF-99.87%-99.88955 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-10-28 │ │ ├── 01.34.59-DMF-99.82%-99.86385 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 16.13.55-DMF-67.93%-70.23609 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 16.19.39-DMF-79.12%-83.03837 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 19.47.23-DMF-54.02%-35.96281 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 20.19.18-DMF-52.66%-39.52558 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.56.26-DMF-45.73%-44.16450 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 22.30.34-MF-46.65%-44.84421 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-10-29 │ │ ├── 00.42.42-MF-45.58%-44.38990 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.10.44-MF-52.55%-43.61307 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.46.17-MF-43.20%-41.35095 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 02.21.28-MF-6.08%-7.18233 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 09.27.11-MF-6.08%-7.18370 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 14.57.20-MF-41.30%-44.62288 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.07.16-MF-44.87134 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.21.37-DMF-44.03249 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.07.10-MF-50.35861 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.35.23-MF-48.84778 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.52.42-MF-50.57850 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 19.57.31-MF-51.00880 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-10-30 │ │ ├── 02.22.03-MF-44.50430 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 02.27.09-MF-44.65659 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 02.36.33-MF-45.57736 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 03.16.00-MF-46.75764 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.01.11-MF-46.35694 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 18.06.28-MF-46.74341 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-10-31 │ │ ├── 20.55.09-MF-46.56211 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.00.51-MF-46.50585 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.20.38-MF-46.67627 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.56.15-MF-44.76276 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 23.53.43-MF-45.59880 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-01 │ │ ├── 13.08.39-MF-45.53438 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 13.18.42-MF-45.31443 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 14.12.10-MF-44.78013 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 14.28.59-MF-42.61033 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.13.02-MF-43.99840 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.36.07-MF-44.95215 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 16.43.19-MF-45.32961 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 17.02.32-MF-44.98702 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-17 │ │ ├── 21.44.46-MFL-44.34796 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.15.13-MFL-43.24435 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.54.50-MFL-43.15264 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 23.18.20-MFL-43.32630 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-18 │ │ ├── 11.11.14-MFL-41.57057 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 11.39.51-MFL-40.95173 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-19 │ │ ├── 00.13.43-MFL-41.96627 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.34.26-MFL-41.69287 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.56.53-MF-44.56749 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.46.03-m2m-43.12903 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.25.09-m2m-12.29011 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.30.31-m2m-44.62719 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 21.50.44-m2m-44.29121 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.00.00-m2m-44.06134 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 22.14.17-m2m-44.96214 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-21 │ │ ├── 03.14.24-MF-44.15631 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 13.05.52-MF-45.38403 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 15.09.44-MF-45.25162 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 16.04.44-MF-45.56721 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-24 │ │ ├── 22.48.31-Fil-42.24240 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 23.05.52-Fil-45.06799 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 23.49.03-Fil-41.40259 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-25 │ │ ├── 00.40.50-Fil-44.02017 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 00.53.50-Fil-44.63670 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.01.58-Fil-43.46505 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 01.59.17 │ │ │ └── figure.png │ │ └── 02.00.51-Fil-44.53032 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2020-11-26 │ │ ├── 10.27.00-Fil-22.18783 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 10.34.40-Fil-38.61086 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 10.42.48-Fil-39.73054 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 10.51.14-Fil-38.31521 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 11.21.12-Fil-38.15143 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 17.40.05 │ │ │ └── figure.png │ │ └── 17.49.01 │ │ │ └── figure.png │ ├── 2020-12-29 │ │ ├── 17.50.44-MF-44.65252 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.22.41-MF-45.63383 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.44.18-MF-45.72215 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 18.52.16-MF-45.85773 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 19.03.37 │ │ │ └── figure.png │ │ ├── 19.09.06-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 19.12.38-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 19.35.27 │ │ │ └── figure.png │ ├── 2020-12-30 │ │ ├── 23.20.22 │ │ │ └── figure.png │ │ └── 23.21.53 │ │ │ └── figure.png │ ├── 2020-12-31 │ │ ├── 04.17.02 │ │ │ └── figure.png │ │ ├── 14.37.41 │ │ │ └── figure.png │ │ ├── 14.47.44 │ │ │ └── figure.png │ │ ├── 14.54.09 │ │ │ └── figure.png │ │ ├── 14.55.20 │ │ │ └── figure.png │ │ ├── 14.59.59 │ │ │ └── figure.png │ │ ├── 15.01.16 │ │ │ └── figure.png │ │ ├── 15.08.29 │ │ │ └── figure.png │ │ ├── 15.15.50 │ │ │ └── figure.png │ │ ├── 15.19.57 │ │ │ └── figure.png │ │ ├── 15.21.58 │ │ │ └── figure.png │ │ ├── 15.28.37 │ │ │ └── figure.png │ │ ├── 15.29.44 │ │ │ └── figure.png │ │ ├── 15.30.54 │ │ │ └── figure.png │ │ ├── 15.34.16 │ │ │ └── figure.png │ │ ├── 15.35.59 │ │ │ └── figure.png │ │ ├── 16.45.10 │ │ │ └── figure.png │ │ ├── 16.47.38 │ │ │ └── figure.png │ │ ├── 17.08.33 │ │ │ └── figure.png │ │ ├── 17.42.51 │ │ │ └── figure.png │ │ ├── 17.49.49 │ │ │ └── figure.png │ │ ├── 17.55.38 │ │ │ └── figure.png │ │ └── 18.05.17-Attention-33.37562 │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2021-01-01 │ │ ├── 20.59.16 │ │ │ └── figure.png │ │ ├── 21.23.29 │ │ │ └── figure.png │ │ └── 22.26.47-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ ├── 2021-01-02 │ │ ├── 00.52.41-Attention-28.71767 │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 03.38.25 │ │ │ └── figure.png │ │ ├── 04.36.54-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 16.16.06 │ │ │ └── figure.png │ │ ├── 16.34.03 │ │ │ └── figure.png │ │ ├── 21.13.58 │ │ │ └── figure.png │ │ ├── 21.16.03 │ │ │ └── figure.png │ │ ├── 21.26.39 │ │ │ └── figure.png │ │ ├── 21.31.38-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.14.59-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 22.47.04-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ ├── 23.21.53-MF │ │ │ ├── details.txt │ │ │ └── figure.png │ │ └── 23.54.55 │ │ │ └── figure.png │ └── 2021-03-16 │ │ └── 00.09.29 │ │ └── figure.png ├── convolutionModel.py ├── fasterReadingModel_forCompetition.py ├── fasterReadingModel_forTest.py ├── formalizeAnswer.py ├── heatmap.py ├── mapping.py ├── other models │ ├── FilteredModel.py │ ├── LstmModel.py │ ├── ManyToManyLstmModel.py │ ├── ManyToManyModel.py │ ├── OthersModel.py │ ├── SpecificModel.py │ ├── multiFrameModel.py │ ├── myCategoryModel.py │ ├── oneFrameModel.py │ └── splitDataModel.py ├── processData.py ├── score.py ├── test.png ├── test.py ├── wave.py ├── 和弦辨識競賽報告.docx └── 和弦辨識競賽報告.pdf ├── phase2_research ├── analyze_answer.py ├── archive │ ├── seq2one_13_6.py │ ├── seq2one_63.py │ └── seq2seq_13_6.py ├── btc.py ├── chord_mapping.py ├── ckpt │ ├── 2021.04.23_06.59 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.04.23_07.08 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.04.23_07.26 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.04.23_07.37 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.04.23_10.13 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.04.24_01.43 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.05_12.40 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.05_18.01 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.05_22.44 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.06_00.28 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.06_02.12 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.06_13.38 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.06_15.07 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.06_20.48 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.06_22.00 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_00.14 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_01.15 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_01.47 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_07.02_integrate_31% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_07.21_integrate_30% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_07.35_integrate_43% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_09.42_unknown_51% │ │ └── history.png │ ├── 2021.05.07_10.27_integrate_32% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_10.57_integrate_37% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.07_14.54_integrate_52% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.08_03.04_integrate_48% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.08_12.14_integrate_58% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.08_16.07_integrate_55% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.08_23.50_separate_8% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.09_02.03_integrate_55% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.09_11.05_integrate_50% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.10_05.01_integrate_43% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.10_15.00__integrate_53% (majmin) │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.10_17.34_integrate_32% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.10_19.02_integrate_32% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.10_20.02_integrate_32% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.10_21.25_integrate_32% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.11_05.32_separate_X │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.11_05.55_root_5% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.11_14.01_root_75% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.11_16.28_root_75% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.11_18.12_quality_47% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.05.12_05.28_quality_bitmap_4% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.06.11_00.25 │ │ └── history.png │ ├── 2021.06.11_03.07_integrate_43% │ │ ├── details.txt │ │ └── history.png │ ├── 2021.06.11_16.21 │ │ ├── details.txt │ │ └── history.png │ ├── 2021.06.11_19.50 │ │ ├── details.txt │ │ └── history.png │ └── 2021.06.11_22.36 │ │ └── details.txt ├── convert.py ├── main.py ├── my_mapping.py ├── plot.py ├── preprocess.py ├── process_chord.py ├── relus.py ├── score.py ├── test.py └── utils.py └── requirements.txt /.gitignore: -------------------------------------------------------------------------------- 1 | # Competition data 2 | official_data 3 | customized_data 4 | *.zip 5 | 6 | # Environments: Virtualenv for Windows 7 | venv4W 8 | # Environments: Virtualenv for Linux 9 | venv4L 10 | 11 | # Codes 12 | test 13 | *.pyc 14 | 15 | # Models & Checkpoints 16 | *.h5 17 | checkpoint 18 | ckpt-* 19 | attns_*.png -------------------------------------------------------------------------------- /Awards.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/Awards.pdf -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Aisu 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /baseline/.predict.py.swp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/baseline/.predict.py.swp -------------------------------------------------------------------------------- /baseline/chord_labels.txt: -------------------------------------------------------------------------------- 1 | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 'N', '', 'min', '7','min7', 'maj7', 'aug', 'dim', '5', 'maj6'] -------------------------------------------------------------------------------- /baseline/chord_mapping.py: -------------------------------------------------------------------------------- 1 | # quality_list = ['', 'min', '7', 'min7', 'maj7', 'aug', 'dim', '5', 'maj6'] 2 | 3 | mapping_default = { 4 | '' : '', 5 | 'min' : 'min', 6 | '7' : '7', 7 | 'min7' : 'min7', 8 | 'maj7' : 'maj7', 9 | 'aug' : 'aug', 10 | 'dim' : 'dim', 11 | '5' : '5', 12 | 'maj6' : 'maj6' 13 | } 14 | 15 | mapping_majmin = { 16 | '' : '', 17 | 'min' : 'min', 18 | '7' : '', 19 | 'min7' : 'min', 20 | 'maj7' : '', 21 | 'aug' : '', 22 | 'dim' : 'min', 23 | '5' : '', 24 | 'maj6' : '' 25 | } 26 | 27 | mapping_seventh = { 28 | '' : '', 29 | 'min' : 'min', 30 | '7' : '7', 31 | 'min7' : 'min7', 32 | 'maj7' : 'maj7', 33 | 'aug' : '', 34 | 'dim' : 'min', 35 | '5' : '', 36 | 'maj6' : '' 37 | } -------------------------------------------------------------------------------- /baseline/data_utils/audio_preprocess.py: -------------------------------------------------------------------------------- 1 | # usage: python audio_preprocess.py 2 | 3 | import librosa 4 | import numpy as np 5 | import os, sys 6 | import threading 7 | 8 | num_thread = 20 9 | 10 | sr = 16000 11 | hop_length = 2048 12 | n_bins = 192 13 | bins_per_octave = 24 14 | 15 | def cqt_preprocess(file_path): 16 | y, _ = librosa.load(file_path, sr=sr) 17 | S_db = librosa.amplitude_to_db(np.abs(librosa.cqt( 18 | y, hop_length=hop_length, n_bins=n_bins, bins_per_octave=bins_per_octave)), ref=np.max) 19 | 20 | # Pad to x64 21 | frame_num = S_db.shape[1] 22 | if frame_num % 64 != 0: 23 | padding = np.ones((S_db.shape[0], 64 - (frame_num % 64))) * -80 24 | S_db = np.concatenate((S_db, padding), axis=1) 25 | return S_db 26 | 27 | def preprocess(dir_path, target_path, file_name, semaphore): 28 | file_path = os.path.join(dir_path, file_name) 29 | 30 | semaphore.acquire() 31 | S_db = cqt_preprocess(file_path) 32 | semaphore.release() 33 | 34 | # Save to .npy file 35 | npy_path = os.path.join(target_path, os.path.splitext(file_name)[0] + ".npy") 36 | np.save(npy_path, S_db) 37 | print(file_name + " done.") -------------------------------------------------------------------------------- /baseline/model/archive/data.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/baseline/model/archive/data.pkl -------------------------------------------------------------------------------- /baseline/model/archive/data/94561951921248: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/baseline/model/archive/data/94561951921248 -------------------------------------------------------------------------------- /baseline/model/archive/data/94561953943264: -------------------------------------------------------------------------------- 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13 | xs = x.size() 14 | out = x.view(xs[0], xs[1], xs[2]).permute(0, 2, 1) 15 | out = self.fc1(out).contiguous() 16 | out, _ = self.bilstm(out) 17 | out = self.fc2(out) 18 | out = out.view(out.shape[0], 1, out.shape[1], out.shape[2]).permute(0, 1, 3, 2) 19 | return out 20 | -------------------------------------------------------------------------------- /nvidia-smi4W.bat: -------------------------------------------------------------------------------- 1 | @ECHO OFF 2 | 3 | SET ExecuteCommand=nvidia-smi 4 | SET ExecutePeriod=1 5 | 6 | SETLOCAL EnableDelayedExpansion 7 | 8 | :loop 9 | 10 | cls 11 | 12 | echo !date! !time! 13 | echo Execute !ExecuteCommand! per !ExecutePeriod! second(s). 14 | 15 | %ExecuteCommand% 16 | 17 | timeout /t %ExecutePeriod% > nul 18 | 19 | goto loop -------------------------------------------------------------------------------- /phase1_competition/1.png: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.00.36-DMF-99.81%-99.745/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-27/21.00.36-DMF-99.81%-99.745/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.11.35-DMF-99.86%-99.845/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 10 4 | frames_per_data = 15 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | train data proportion: 1% 9 | test data proportion: 20% 10 | validation data proportion: 0% 11 | 12 | epochs = 500 13 | batch_size = 261 14 | 15 | cost_time: 0:05:47.212274 16 | test_loss: 0.005127142649143934 17 | test_accuracy: 0.9978668093681335 18 | original_loss (all data): 0.0036371713504195213 19 | original_accuracy (all data): 0.9985701441764832 20 | score: 0.9984451853718108 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.11.35-DMF-99.86%-99.845/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-27/21.11.35-DMF-99.86%-99.845/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.31.45-DMF-99.80%-99.774/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 20 4 | frames_per_data = 45 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | train data proportion: 1% 9 | test data proportion: 20% 10 | validation data proportion: 0% 11 | 12 | epochs = 100 13 | batch_size = 1301 14 | 15 | cost_time: 0:02:11.197810 16 | test_loss: 0.006571546196937561 17 | test_accuracy: 0.9973766803741455 18 | original_loss (all data): 0.005296725779771805 19 | original_accuracy (all data): 0.9979531764984131 20 | score: 0.9977353041003063 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.31.45-DMF-99.80%-99.774/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-27/21.31.45-DMF-99.80%-99.774/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.56.02-DMF-99.62%-99.798/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 15 4 | frames_per_data = 45 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | train data proportion: 1% 9 | test data proportion: 20% 10 | validation data proportion: 0% 11 | 12 | epochs = 100 13 | batch_size = 1301 14 | 15 | cost_time: 0:01:40.650573 16 | test_loss: 0.011767363175749779 17 | test_accuracy: 0.9955798387527466 18 | original_loss (all data): 0.00975662562996149 19 | original_accuracy (all data): 0.9962407946586609 20 | 21 | 22 | Score by 'last' model: 0.9963542839321395 23 | 24 | Score by 'min val_loss' model: 0.9978684642545945 25 | 26 | Score by 'max val_accuracy' model: 0.9979819403824969 27 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/21.56.02-DMF-99.62%-99.798/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-27/21.56.02-DMF-99.62%-99.798/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/22.03.03-DMF-99.75%-99.80753/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 15 4 | frames_per_data = 45 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | 9 | epochs = 100 10 | batch_size = 976 11 | 12 | cost_time: 0:01:49.766754 13 | test_loss: 0.007665602490305901 14 | test_accuracy: 0.9967328906059265 15 | original_loss (all data): 0.005978741217404604 16 | original_accuracy (all data): 0.9974631071090698 17 | 18 | Score by 'last' model: 0.997461833186785 19 | Score by 'min val_loss' model: 0.9978904126392149 20 | Score by 'max val_accuracy' model: 0.9980752508113173 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/22.03.03-DMF-99.75%-99.80753/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-27/22.03.03-DMF-99.75%-99.80753/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/22.06.56-DMF-99.92%-99.92049/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 15 4 | frames_per_data = 45 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | 9 | epochs = 2500 10 | batch_size = 976 11 | 12 | cost_time: 0:43:50.339373 13 | test_loss: 0.003457871498540044 14 | test_accuracy: 0.9985778331756592 15 | original_loss (all data): 0.0018687427509576082 16 | original_accuracy (all data): 0.9992005228996277 17 | 18 | Score by 'last' model: 0.99895769504977 19 | Score by 'min val_loss' model: 0.9991772831756197 20 | Score by 'max val_accuracy' model: 0.9992048924558204 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/22.06.56-DMF-99.92%-99.92049/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-27/22.06.56-DMF-99.92%-99.92049/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/23.14.03-DMF-99.87%-99.88955/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 15 4 | frames_per_data = 75 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | 9 | epochs = 1000 10 | batch_size = 976 11 | 12 | cost_time: 0:25:27.847571 13 | test_loss: 0.004570984281599522 14 | test_accuracy: 0.9983472228050232 15 | original_loss (all data): 0.0034261553082615137 16 | original_accuracy (all data): 0.9986931085586548 17 | 18 | Score by 'last' model: 0.9985344537225586 19 | Score by 'min val_loss' model: 0.9988954549925706 20 | Score by 'max val_accuracy' model: 0.9988210936668511 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-27/23.14.03-DMF-99.87%-99.88955/figure.png: -------------------------------------------------------------------------------- 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| -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/01.34.59-DMF-99.82%-99.86385/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-28/01.34.59-DMF-99.82%-99.86385/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/16.13.55-DMF-67.93%-70.23609/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 5 4 | frames_per_data = 25 5 | 6 | test_split = 0.8 7 | validation_split = 0.25 8 | 9 | epochs = 500 10 | batch_size = 28418 11 | 12 | cost_time: 0:00:58.997196 13 | test_loss: 4.176019668579102 14 | test_accuracy: 0.46944281458854675 15 | original_loss (all data): 2.649298906326294 16 | original_accuracy (all data): 0.6793054938316345 17 | 18 | Score by 'last' model: 0.7023608848792068 19 | Score by 'min val_loss' model: 0.5361912794546455 20 | Score by 'max val_accuracy' model: 0.6321308521753684 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/16.13.55-DMF-67.93%-70.23609/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-28/16.13.55-DMF-67.93%-70.23609/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/16.19.39-DMF-79.12%-83.03837/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 5 4 | frames_per_data = 25 5 | 6 | test_split = 0.15 7 | validation_split = 0.2 8 | 9 | epochs = 500 10 | batch_size = 28418 11 | 12 | cost_time: 0:03:56.889506 13 | test_loss: 6.75213098526001 14 | test_accuracy: 0.39454978704452515 15 | original_loss (all data): 3.157575845718384 16 | original_accuracy (all data): 0.791150689125061 17 | 18 | Score by 'last' model: 0.8203599053518007 19 | Score by 'min val_loss' model: 0.4562335944385145 20 | Score by 'max val_accuracy' model: 0.8303837012363171 21 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/16.19.39-DMF-79.12%-83.03837/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-28/16.19.39-DMF-79.12%-83.03837/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/19.47.23-DMF-54.02%-35.96281/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 5 4 | frames_per_data = 25 5 | 6 | epochs = 500 7 | batch_size = 98732 8 | 9 | cost_time: 0:08:14.329419 10 | validation_loss: 18.428163528442383 11 | validation_accuracy: 0.2405836582183838 12 | original_loss (all data): 10.801590919494629 13 | original_accuracy (all data): 0.5402036905288696 14 | 15 | Score by 'last' model: 0.34354561913827125 16 | Score by 'min val_loss' model: 0.07984214884628484 17 | Score by 'max val_accuracy' model: 0.35962808085068265 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/19.47.23-DMF-54.02%-35.96281/figure.png: 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val_accuracy' model: 0.3952558168260371 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/20.19.18-DMF-52.66%-39.52558/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-28/20.19.18-DMF-52.66%-39.52558/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/21.56.26-DMF-45.73%-44.16450/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 3 4 | frames_per_data = 9 5 | 6 | epochs = 500 7 | batch_size = 87075 8 | 9 | cost_time: 0:08:08.638442 10 | validation_loss: 5.325570106506348 11 | validation_accuracy: 0.35070252418518066 12 | original_loss (all data): 3.7609703540802 13 | original_accuracy (all data): 0.45732688903808594 14 | 15 | Score by 'last' model: 0.42061076779990897 16 | Score by 'min val_loss' model: 0.40278494217521055 17 | Score by 'max val_accuracy' model: 0.44164495663923853 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/21.56.26-DMF-45.73%-44.16450/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-28/21.56.26-DMF-45.73%-44.16450/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/22.30.34-MF-46.65%-44.84421/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 13 5 | 6 | epochs = 1000 7 | batch_size = 87075 8 | 9 | cost_time: 0:04:46.428877 10 | validation_loss: 4.952563285827637 11 | validation_accuracy: 0.3651268780231476 12 | original_loss (all data): 3.4937222003936768 13 | original_accuracy (all data): 0.4664505124092102 14 | 15 | Score by 'last' model: 0.4348047747329483 16 | Score by 'min val_loss' model: 0.41493548739682795 17 | Score by 'max val_accuracy' model: 0.44844208051736073 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-28/22.30.34-MF-46.65%-44.84421/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-28/22.30.34-MF-46.65%-44.84421/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/00.42.42-MF-45.58%-44.38990/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 2 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 1000 7 | batch_size = 87075 8 | 9 | cost_time: 0:04:08.921257 10 | validation_loss: 5.130429744720459 11 | validation_accuracy: 0.3624412715435028 12 | original_loss (all data): 3.6552698612213135 13 | original_accuracy (all data): 0.45576271414756775 14 | 15 | Score by 'last' model: 0.43349564423604653 16 | Score by 'min val_loss' model: 0.4101784083906657 17 | Score by 'max val_accuracy' model: 0.4438990254689768 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/00.42.42-MF-45.58%-44.38990/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/00.42.42-MF-45.58%-44.38990/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/01.10.44-MF-52.55%-43.61307/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 2 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 1000 7 | batch_size = 87075 8 | 9 | cost_time: 0:09:06.865932 10 | validation_loss: 11.216426849365234 11 | validation_accuracy: 0.3100920021533966 12 | original_loss (all data): 6.959707260131836 13 | original_accuracy (all data): 0.5255341529846191 14 | 15 | Score by 'last' model: 0.378668799698025 16 | Score by 'min val_loss' model: 0.048824511025402174 17 | Score by 'max val_accuracy' model: 0.4361307379015385 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/01.10.44-MF-52.55%-43.61307/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/01.10.44-MF-52.55%-43.61307/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/01.46.17-MF-43.20%-41.35095/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 2 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 1000 7 | batch_size = 87075 8 | 9 | cost_time: 0:19:34.472083 10 | validation_loss: 6.62249231338501 11 | validation_accuracy: 0.33749935030937195 12 | original_loss (all data): 4.673985481262207 13 | original_accuracy (all data): 0.431984007358551 14 | 15 | Score by 'last' model: 0.40163406878235447 16 | Score by 'min val_loss' model: 0.04901588826777158 17 | Score by 'max val_accuracy' model: 0.4135095184422336 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/01.46.17-MF-43.20%-41.35095/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/01.46.17-MF-43.20%-41.35095/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/02.21.28-MF-6.08%-7.18233/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 2 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 30000 7 | batch_size = 87075 8 | 9 | cost_time: 0:11:10.328031 10 | validation_loss: 5.389157772064209 11 | validation_accuracy: 0.062242668122053146 12 | original_loss (all data): 4.964883327484131 13 | original_accuracy (all data): 0.06078904867172241 14 | 15 | Score by 'last' model: 0.07143774145516159 16 | Score by 'min val_loss' model: 0.04626425220671164 17 | Score by 'max val_accuracy' model: 0.07182327689021752 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/02.21.28-MF-6.08%-7.18233/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/02.21.28-MF-6.08%-7.18233/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/09.27.11-MF-6.08%-7.18370/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 2 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 30000 7 | batch_size = 87075 8 | 9 | cost_time: 0:11:27.714082 10 | validation_loss: 5.402226448059082 11 | validation_accuracy: 0.062242668122053146 12 | original_loss (all data): 4.973491668701172 13 | original_accuracy (all data): 0.06078904867172241 14 | 15 | Score by 'last' model: 0.07143774145516159 16 | Score by 'min val_loss' model: 0.047907439860896135 17 | Score by 'max val_accuracy' model: 0.07183697012066907 18 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/09.27.11-MF-6.08%-7.18370/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/09.27.11-MF-6.08%-7.18370/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/14.57.20-MF-41.30%-44.62288/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 1000 7 | batch_size = 174511 8 | 9 | cost_time: 0:03:04.980073 10 | validation_loss: 2.42511248588562 11 | validation_accuracy: 0.4129759967327118 12 | 13 | Score by 'last' model: 0.4394832408309107 14 | Score by 'min val_loss' model: 0.4418663718468632 15 | Score by 'max val_accuracy' model: 0.4462287550402528 16 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/14.57.20-MF-41.30%-44.62288/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/14.57.20-MF-41.30%-44.62288/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/15.07.16-MF-44.87134/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 11 5 | 6 | epochs = 1000 7 | batch_size = 174511 8 | 9 | cost_time: 0:02:32.532154 10 | 11 | Score by 'last' model: 0.44072241670602924 12 | Score by 'min val_loss' model: 0.4460040962905549 13 | Score by 'max val_accuracy' model: 0.4487134428735082 14 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/15.07.16-MF-44.87134/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/15.07.16-MF-44.87134/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/15.21.37-DMF-44.03249/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 3 4 | frames_per_data = 9 5 | 6 | epochs = 1000 7 | batch_size = 174511 8 | 9 | cost_time: 0:03:03.028204 10 | 11 | Score by 'last' model: 0.43032842030634216 12 | Score by 'min val_loss' model: 0.43643309573085814 13 | Score by 'max val_accuracy' model: 0.44032494013059625 14 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/15.21.37-DMF-44.03249/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/15.21.37-DMF-44.03249/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/17.07.10-MF-50.35861/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 15 5 | 6 | epochs = 1000 7 | batch_size = 174511 8 | 9 | cost_time: 0:03:06.170454 10 | 11 | Score by 'last' model: 0.49620560751075354 12 | Score by 'min val_loss' model: 0.5004808409723601 13 | Score by 'max val_accuracy' model: 0.5035861130297877 14 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/17.07.10-MF-50.35861/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/17.07.10-MF-50.35861/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/17.35.23-MF-48.84778/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 21 5 | 6 | epochs = 1000 7 | batch_size = 305286 8 | 9 | cost_time: 0:02:39.887896 10 | 11 | Score by 'last' model: 0.4779399079727986 12 | Score by 'min val_loss' model: 0.4884778280283812 13 | Score by 'max val_accuracy' model: 0.48657792307294184 14 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/17.35.23-MF-48.84778/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/17.35.23-MF-48.84778/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/17.52.42-MF-50.57850/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 21 5 | 6 | epochs = 3000 7 | batch_size = 305376 8 | 9 | cost_time: 0:07:09.233232 10 | 11 | Score by 'last' model: 0.4924497245447402 12 | Score by 'min val_loss' model: 0.5002206383114043 13 | Score by 'max val_accuracy' model: 0.5057850327485442 14 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/17.52.42-MF-50.57850/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/17.52.42-MF-50.57850/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/19.57.31-MF-51.00880/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | data_divide_amount = 1 4 | frames_per_data = 21 5 | 6 | epochs = 3000 7 | batch_size = 305600 8 | 9 | cost_time: 0:05:21.982129 10 | 11 | Score by 'last' model: 0.4954519394537995 12 | Score by 'min val_loss' model: 0.5060006887335334 13 | Score by 'max val_accuracy' model: 0.5100880209459221 14 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-29/19.57.31-MF-51.00880/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-29/19.57.31-MF-51.00880/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/02.22.03-MF-44.50430/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 10 4 | BATCH_SIZE = 30000 5 | PATIENCE = 100 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 5 9 | 10 | cost_time: 0:00:24.637003 11 | 12 | Score by 'last' model: 0.43641669150912216 13 | Score by 'min val_loss' model: 0.4334770982719297 14 | Score by 'max val_accuracy' model: 0.4450430311477742 15 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/02.22.03-MF-44.50430/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-30/02.22.03-MF-44.50430/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/02.27.09-MF-44.65659/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 30000 5 | PATIENCE = 100 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 5 9 | 10 | cost_time: 0:04:03.051886 11 | 12 | Score by 'last' model: 0.4205748132101693 13 | Score by 'min val_loss' model: 0.44348078733516455 14 | Score by 'max val_accuracy' model: 0.4465658916163742 15 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/02.27.09-MF-44.65659/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-30/02.27.09-MF-44.65659/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/02.36.33-MF-45.57736/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 30000 5 | PATIENCE = 100 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | cost_time: 0:01:07.287524 11 | 12 | Score by 'last' model: 0.45236230733797916 13 | Score by 'min val_loss' model: 0.45574541944368724 14 | Score by 'max val_accuracy' model: 0.4557736120445682 15 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/02.36.33-MF-45.57736/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-30/02.36.33-MF-45.57736/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/03.16.00-MF-46.75764/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 10000 4 | BATCH_SIZE = 50000 5 | PATIENCE = 100 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | cost_time: 0:01:28.217049 11 | 12 | Score by 'last' model: 0.43635780730721857 13 | Score by 'min val_loss' model: 0.46055242635599775 14 | Score by 'max val_accuracy' model: 0.46757635176567114 15 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/03.16.00-MF-46.75764/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-30/03.16.00-MF-46.75764/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/15.01.11-MF-46.35694/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 50000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | cost_time: 0:00:44.969404 11 | 12 | Score by 'last' model: [0.4497721526732368, 0.4244327203759468, 0.4958650555138837] 13 | Score by 'min val_loss' model: [0.45880196620995317, 0.43333778043508286, 0.5053653850325027] 14 | Score by 'max val_accuracy' model: [0.46356941151050063, 0.4380481853806033, 0.5100807505568522] 15 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/15.01.11-MF-46.35694/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-30/15.01.11-MF-46.35694/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/18.06.28-MF-46.74341/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 50000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120]validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 15 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 16 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 17 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 18 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 19 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 20 | 25 134 71 129 144 192 79 133 137 72 140 37] 21 | cost_time: 0:01:00.373268 22 | 23 | Score by 'last' model: [0.4487766291490137, 0.4232126738292013, 0.4946450089671381] 24 | Score by 'min val_loss' model: [0.46343933547651983, 0.4375034737225759, 0.5095310783199959] 25 | Score by 'max val_accuracy' model: [0.4674340996459889, 0.4416779708350576, 0.5137105360113066] 26 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-30/18.06.28-MF-46.74341/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-30/18.06.28-MF-46.74341/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/20.55.09-MF-46.56211/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 50000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120]validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 15 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 16 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 17 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 18 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 19 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 20 | 25 134 71 129 144 192 79 133 137 72 140 37] 21 | cost_time: 0:00:50.572512 22 | 23 | Score by 'last' model: [0.4543057822974147, 0.4292567753308603, 0.5006891104687975] 24 | Score by 'min val_loss' model: [0.46481259550335413, 0.4391329476509454, 0.5111605522483654] 25 | Score by 'max val_accuracy' model: [0.46562112292841284, 0.4405376147688925, 0.5125701799451416] 26 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/20.55.09-MF-46.56211/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-31/20.55.09-MF-46.56211/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/21.00.51-MF-46.50585/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120]validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 15 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 16 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 17 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 18 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 19 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 20 | 25 134 71 129 144 192 79 133 137 72 140 37] 21 | cost_time: 0:01:36.339009 22 | 23 | Score by 'last' model: [0.4477411700684371, 0.4237907431988177, 0.49522307833675494] 24 | Score by 'min val_loss' model: [0.46178704458082337, 0.4359979289509444, 0.5080255335483642] 25 | Score by 'max val_accuracy' model: [0.46505854722785156, 0.4394713739200544, 0.5115039390963035] 26 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/21.00.51-MF-46.50585/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-31/21.00.51-MF-46.50585/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/22.20.38-MF-46.67627/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120]validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 15 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 16 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 17 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 18 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 19 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 20 | 25 134 71 129 144 192 79 133 137 72 140 37] 21 | cost_time: 0:02:54.238721 22 | 23 | Score by 'last' model: [0.4475004042098004, 0.4228926895070169, 0.49432502464495404] 24 | Score by 'min val_loss' model: [0.4640467112529637, 0.4383180621973906, 0.5103456667948104] 25 | Score by 'max val_accuracy' model: [0.46676267419738243, 0.4410688560180782, 0.5131014211943269] 26 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/22.20.38-MF-46.67627/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-31/22.20.38-MF-46.67627/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/22.56.15-MF-44.76276/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120]validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 15 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 16 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 17 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 18 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 19 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 20 | 25 134 71 129 144 192 79 133 137 72 140 37] 21 | cost_time: 0:04:14.827212 22 | 23 | Score by 'last' model: [0.22675103905965407, 0.21345661391342738, 0.2848889490513646] 24 | Score by 'min val_loss' model: [0.4360638500631605, 0.41000963359493314, 0.482037238192353] 25 | Score by 'max val_accuracy' model: [0.4476276387525048, 0.4227883748008734, 0.4948209399771224] 26 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/22.56.15-MF-44.76276/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-31/22.56.15-MF-44.76276/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/23.53.43-MF-45.59880/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120]validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 15 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 16 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 17 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 18 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 19 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 20 | 25 134 71 129 144 192 79 133 137 72 140 37] 21 | cost_time: 0:04:17.917646 22 | 23 | Score by 'last' model: [0.21626714643939687, 0.20215860986971496, 0.27359094500765196] 24 | Score by 'min val_loss' model: [0.4420400047244596, 0.41862871928184187, 0.49065632387926184] 25 | Score by 'max val_accuracy' model: [0.4559879874625748, 0.43130248624849976, 0.5033350514247488] 26 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-10-31/23.53.43-MF-45.59880/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-10-31/23.53.43-MF-45.59880/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/13.08.39-MF-45.53438/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:03:49.590694 25 | 26 | Score by 'last' model: [0.17135829658634474, 0.16270355736420808, 0.23413589250214525] 27 | Score by 'min val_loss' model: [0.4529968418410775, 0.42884471546910746, 0.5008723200665275] 28 | Score by 'max val_accuracy' model: [0.4553438297182003, 0.4310625584533149, 0.503095123629564] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/13.08.39-MF-45.53438/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/13.08.39-MF-45.53438/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/13.18.42-MF-45.31443/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:09:52.314084 25 | 26 | Score by 'last' model: [0.2981300862321507, 0.27692281836621063, 0.34835515350414786] 27 | Score by 'min val_loss' model: [0.44209962021269084, 0.4180605346686053, 0.4900881392660252] 28 | Score by 'max val_accuracy' model: [0.45314431889299145, 0.42725649693776785, 0.49928906211401697] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/13.18.42-MF-45.31443/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/13.18.42-MF-45.31443/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/14.12.10-MF-44.78013/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:10:04.112175 25 | 26 | Score by 'last' model: [0.14341758617694592, 0.13573656080101618, 0.20716889593895335] 27 | Score by 'min val_loss' model: [0.43806961468272065, 0.4159249284464555, 0.48795253304387515] 28 | Score by 'max val_accuracy' model: [0.44780134156421897, 0.4228298127064282, 0.4948623778826772] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/14.12.10-MF-44.78013/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/14.12.10-MF-44.78013/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/14.28.59-MF-42.61033/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 75 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 25 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:07:46.677410 25 | 26 | Score by 'last' model: [0.38163672526768594, 0.36012995806196285, 0.4315622931998998] 27 | Score by 'min val_loss' model: [0.4142456225859038, 0.39049296494736296, 0.462520569544783] 28 | Score by 'max val_accuracy' model: [0.42610334146475104, 0.4018120807024836, 0.4738446458787325] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/14.28.59-MF-42.61033/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/14.28.59-MF-42.61033/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/15.13.02-MF-43.99840/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 5 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:54.779256 25 | 26 | Score by 'last' model: [0.42829437098491585, 0.4053893261149083, 0.4768216612528456] 27 | Score by 'min val_loss' model: [0.4399840054611363, 0.4162883413500091, 0.48831594594742905] 28 | Score by 'max val_accuracy' model: [0.43973284778749017, 0.4160950330054583, 0.48812759818170715] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/15.13.02-MF-43.99840/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/15.13.02-MF-43.99840/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/15.36.07-MF-44.95215/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 5 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:47.352778 25 | 26 | Score by 'last' model: [0.43919265182938605, 0.4146716982783909, 0.48610403341632824] 27 | Score by 'min val_loss' model: [0.44952150542162994, 0.4244043320560189, 0.49643193665343877] 28 | Score by 'max val_accuracy' model: [0.4481366459489823, 0.42284839776074185, 0.49488096293699096] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/15.36.07-MF-44.95215/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/15.36.07-MF-44.95215/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/16.43.19-MF-45.32961/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 7 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:21.153368 25 | 26 | Score by 'last' model: [0.44146358568218247, 0.4164021683690822, 0.4878345035070193] 27 | Score by 'min val_loss' model: [0.4531983342372659, 0.42809852112882496, 0.500126125726245] 28 | Score by 'max val_accuracy' model: [0.45329612380855816, 0.42819599073515613, 0.5002285559114052] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/16.43.19-MF-45.32961/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/16.43.19-MF-45.32961/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/17.02.32-MF-44.98702/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 7 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:20.057485 25 | 26 | Score by 'last' model: [0.440342134281078, 0.4158713832583731, 0.4873037183963103] 27 | Score by 'min val_loss' model: [0.44987023695446865, 0.42525492304294754, 0.49728252764036746] 28 | Score by 'max val_accuracy' model: [0.44909044614489907, 0.4243270035638856, 0.49635956874013437] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-01/17.02.32-MF-44.98702/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-01/17.02.32-MF-44.98702/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-17/21.44.46-MFL-44.34796/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 300000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_before = 10 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:18:32.084339 25 | 26 | Score by 'last' model: [0.4390905154271497, 0.41501782459650777, 0.48645015973444483] 27 | Score by 'min val_loss' model: [0.4434433680081199, 0.41913308032247837, 0.49116068491989845] 28 | Score by 'max val_accuracy' model: [0.44347964177962795, 0.41916737412019484, 0.4911999392964439] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-17/21.44.46-MFL-44.34796/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-17/21.44.46-MFL-44.34796/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-17/22.15.13-MFL-43.24435/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_before = 20 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:07:16.098893 25 | 26 | Score by 'last' model: [0.43010320777302014, 0.40618601678828437, 0.4776183519262214] 27 | Score by 'min val_loss' model: [0.4322642563705991, 0.40818253699814605, 0.48021014159556563] 28 | Score by 'max val_accuracy' model: [0.43244345171558485, 0.4081901444429601, 0.4802227096192093] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-17/22.15.13-MFL-43.24435/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-17/22.15.13-MFL-43.24435/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-17/22.54.50-MFL-43.15264/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-17/22.54.50-MFL-43.15264/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-17/23.18.20-MFL-43.32630/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-17/23.18.20-MFL-43.32630/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-18/11.11.14-MFL-41.57057/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 50000 5 | PATIENCE = 5 6 | 7 | data_divide_amount = 1 8 | frames_before = 12 9 | 10 | train_file_index: 11 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 12 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 13 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 14 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 15 | 183 158 166 113 12 117 93 120] 16 | 17 | validation_file_index: 18 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 19 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 20 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 21 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 22 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 23 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 24 | 25 134 71 129 144 192 79 133 137 72 140 37] 25 | 26 | cost_time: 0:01:31.090651 27 | 28 | Score by 'last' model: 29 | [0.40972177706892, 0.3868286498865106, 0.45826098502444773] 30 | Score by 'min_val_loss' model: 31 | [0.4157056882486006, 0.3927794359033594, 0.4642117710412964] 32 | Score by 'max_val_acc' model: 33 | [0.4140294512675791, 0.39110788766091653, 0.4625402227988536] 34 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-18/11.11.14-MFL-41.57057/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-18/11.11.14-MFL-41.57057/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-18/11.39.51-MFL-40.95173/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 50000 5 | PATIENCE = 5 6 | 7 | data_divide_amount = 1 8 | frames_before = 30 9 | 10 | train_file_index: 11 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 12 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 13 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 14 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 15 | 183 158 166 113 12 117 93 120] 16 | 17 | validation_file_index: 18 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 19 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 20 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 21 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 22 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 23 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 24 | 25 134 71 129 144 192 79 133 137 72 140 37] 25 | 26 | cost_time: 0:01:30.068061 27 | 28 | Score by 'last' model: 29 | [0.4095096373979449, 0.3848779119503899, 0.45631024708832696] 30 | Score by 'min_val_loss' model: 31 | [0.4088930180198708, 0.3849089363661793, 0.4563412715041164] 32 | Score by 'max_val_acc' model: 33 | [0.40951729638100914, 0.3854674374869733, 0.4568997726249105] 34 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-18/11.39.51-MFL-40.95173/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-18/11.39.51-MFL-40.95173/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/00.13.43-MFL-41.96627/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 50000 5 | PATIENCE = 5 6 | 7 | data_divide_amount = 1 8 | frames_before = 30 9 | 10 | train_file_index: 11 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 12 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 13 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 14 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 15 | 183 158 166 113 12 117 93 120] 16 | 17 | validation_file_index: 18 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 19 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 20 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 21 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 22 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 23 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 24 | 25 134 71 129 144 192 79 133 137 72 140 37] 25 | 26 | cost_time: 0:01:54.419051 27 | 28 | Score by 'last' model: 29 | [0.4196626507446621, 0.3965395497435377, 0.467971884881475] 30 | Score by 'min_val_loss' model: 31 | [0.4196626507446621, 0.3965395497435377, 0.467971884881475] 32 | Score by 'max_val_acc' model: 33 | [0.4177359297174717, 0.394786742812571, 0.4662190779505081] 34 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/00.13.43-MFL-41.96627/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-19/00.13.43-MFL-41.96627/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/00.34.26-MFL-41.69287/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 50000 5 | PATIENCE = 5 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 15 9 | 10 | train_file_index: 11 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 12 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 13 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 14 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 15 | 183 158 166 113 12 117 93 120] 16 | 17 | validation_file_index: 18 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 19 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 20 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 21 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 22 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 23 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 24 | 25 134 71 129 144 192 79 133 137 72 140 37] 25 | 26 | cost_time: 0:01:02.991400 27 | 28 | Score by 'last' model: 29 | [0.41683110050036015, 0.39369772672423237, 0.4651300618621695] 30 | Score by 'min_val_loss' model: 31 | [0.41692866558945535, 0.393988248618822, 0.4654205837567587] 32 | Score by 'max_val_acc' model: 33 | [0.4147123208785072, 0.3920476032907948, 0.4634799384287319] 34 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/00.34.26-MFL-41.69287/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-19/00.34.26-MFL-41.69287/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/15.56.53-MF-44.56749/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 7 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:26.447493 25 | 26 | Score by 'last' model: [0.4402761543497633, 0.4154144850378255, 0.48684682017576264] 27 | Score by 'min_val_loss' model: [0.4456749159625494, 0.4207932496292193, 0.4922255847671565] 28 | Score by 'max_val_acc' model: [0.4456749159625494, 0.4207932496292193, 0.4922255847671565] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/15.56.53-MF-44.56749/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-19/15.56.53-MF-44.56749/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/18.46.03-m2m-43.12903/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 50000 5 | PATIENCE = 15 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 15 9 | 10 | train_file_index: 11 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 12 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 13 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 14 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 15 | 183 158 166 113 12 117 93 120] 16 | 17 | validation_file_index: 18 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 19 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 20 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 21 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 22 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 23 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 24 | 25 134 71 129 144 192 79 133 137 72 140 37] 25 | 26 | cost_time: 0:01:44.755684 27 | 28 | Score by 'last' model: 29 | [0.43069057947978745, 0.4068514231789489, 0.47828375831688613] 30 | Score by 'min_val_loss' model: 31 | [0.430664785752995, 0.4069052537660314, 0.47833758890396894] 32 | Score by 'max_val_acc' model: 33 | [0.43129028298582034, 0.407520613737099, 0.4789529488750361] 34 | -------------------------------------------------------------------------------- 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https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-19/22.00.00-m2m-44.06134/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-19/22.14.17-m2m-44.96214/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-19/22.14.17-m2m-44.96214/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/03.14.24-MF-44.15631/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 3000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 60 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:03:42.164804 25 | 26 | Score by 'last' model: [0.42683131479184583, 0.40410644478410535, 0.4755387799220424] 27 | Score by 'min_val_loss' model: [0.44156307648000487, 0.41772624460848146, 0.48915857974641846] 28 | Score by 'max_val_acc' model: [0.44156307648000487, 0.41772624460848146, 0.48915857974641846] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/03.14.24-MF-44.15631/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-21/03.14.24-MF-44.15631/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/13.05.52-MF-45.38403/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 60 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:05:27.182142 25 | 26 | Score by 'last' model: [0.4362098395999487, 0.4117429307324744, 0.4831752658704118] 27 | Score by 'min_val_loss' model: [0.45384026872719285, 0.4298169346594557, 0.5012492697973926] 28 | Score by 'max_val_acc' model: [0.45384026872719285, 0.4298169346594557, 0.5012492697973926] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/13.05.52-MF-45.38403/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-21/13.05.52-MF-45.38403/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/15.09.44-MF-45.25162/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 500 4 | BATCH_SIZE = 75000 5 | PATIENCE = 25 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 60 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:05:02.243001 25 | 26 | Score by 'last' model: [0.437343714639233, 0.4134436431839483, 0.48487597832188556] 27 | Score by 'min_val_loss' model: [0.4503963145345256, 0.4262016217577289, 0.49763395689566586] 28 | Score by 'max_val_acc' model: [0.4525161892914867, 0.42814760283219705, 0.49957993797013434] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/15.09.44-MF-45.25162/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-21/15.09.44-MF-45.25162/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/16.04.44-MF-45.56721/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 300 4 | BATCH_SIZE = 75000 5 | PATIENCE = 15 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 60 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:39.101055 25 | 26 | Score by 'last' model: [0.4484456198965427, 0.4234231885948496, 0.4948555237327869] 27 | Score by 'min_val_loss' model: [0.42547339537458645, 0.4008642977670108, 0.4722966329049479] 28 | Score by 'max_val_acc' model: [0.4556720982956797, 0.4304790456837104, 0.5019113808216475] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-21/16.04.44-MF-45.56721/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-21/16.04.44-MF-45.56721/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-24/22.48.31-Fil-42.24240/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 7 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:13.706725 25 | 26 | Score by 'last' model: [0.4094015133699128, 0.386907145515579, 0.4583394806535163] 27 | Score by 'min_val_loss' model: [0.42144855197856523, 0.3987958107997179, 0.47022814593765483] 28 | Score by 'max_val_acc' model: [0.4224239715112264, 0.3997337485204569, 0.471166083658394] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-24/22.48.31-Fil-42.24240/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-24/22.48.31-Fil-42.24240/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-24/23.05.52-Fil-45.06799/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-24/23.05.52-Fil-45.06799/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-24/23.49.03-Fil-41.40259/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 2000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 60 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 13 9 | 10 | cost_time: 0:15:19.506960 11 | 12 | Score by 'last' model: [0.4140258875385167, 0.390804295719951, 0.46223663085788785] 13 | Score by 'min_val_loss' model: [0.4003324220716158, 0.3779911307161709, 0.44942346585410786] 14 | Score by 'max_val_acc' model: [0.4126587313768198, 0.3896441579884578, 0.46107649312639476] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-24/23.49.03-Fil-41.40259/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-24/23.49.03-Fil-41.40259/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/00.40.50-Fil-44.02017/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 2000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 19 9 | 10 | cost_time: 0:05:03.824864 11 | 12 | Score by 'last' model: [0.4401523471403399, 0.41551373808811026, 0.4869460732260473] 13 | Score by 'min_val_loss' model: [0.4359159056208879, 0.4118348757201878, 0.4832672108581249] 14 | Score by 'max_val_acc' model: [0.4402016982983687, 0.4157091856248739, 0.48714152076281114] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/00.40.50-Fil-44.02017/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-25/00.40.50-Fil-44.02017/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/00.53.50-Fil-44.63670/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 2000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | cost_time: 0:02:26.707565 11 | 12 | Score by 'last' model: [0.44117778603511676, 0.41617952682143866, 0.48761186195937584] 13 | Score by 'min_val_loss' model: [0.44387058336281704, 0.41921586065348787, 0.490648195791425] 14 | Score by 'max_val_acc' model: [0.446367037840606, 0.4210283772683273, 0.4924607124062646] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/00.53.50-Fil-44.63670/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-25/00.53.50-Fil-44.63670/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/01.01.58-Fil-43.46505/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 40 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | cost_time: 0:01:29.074594 11 | 12 | Score by 'last' model: [0.42721599668582017, 0.402460009904496, 0.47389234504243316] 13 | Score by 'min_val_loss' model: [0.4238885928812802, 0.3975727134126899, 0.469005048550627] 14 | Score by 'max_val_acc' model: [0.4346504819084399, 0.40962618308701726, 0.4810585182249547] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/01.01.58-Fil-43.46505/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-25/01.01.58-Fil-43.46505/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/01.59.17/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-25/01.59.17/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-25/02.00.51-Fil-44.53032/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 20 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | cost_time: 0:01:21.614846 11 | 12 | Score by 'last' model: [0.4386635640838096, 0.41366470999629107, 0.48509704513422836] 13 | Score by 'min_val_loss' model: [0.42942572991191585, 0.403593378878725, 0.4750257140166623] 14 | Score by 'max_val_acc' model: [0.4453031908378305, 0.4193756591788239, 0.4908079943167609] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 20 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | cost_time: 0:01:25.715402 11 | 12 | Score by 'last' model: [0.3769473608764861, 0.3554002494503434, 0.4268325845882803] 13 | Score by 'min_val_loss' model: [0.3322212217597247, 0.3103783189595602, 0.3818106540974972] 14 | Score by 'max_val_acc' model: [0.38610860009574316, 0.36442268144324075, 0.43585501658117803] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-26/10.34.40-Fil-38.61086/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-26/10.34.40-Fil-38.61086/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-26/10.42.48-Fil-39.73054/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 40 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | cost_time: 0:01:25.254574 11 | 12 | Score by 'last' model: [0.37945007918071505, 0.35743619292456613, 0.4288685280625035] 13 | Score by 'min_val_loss' model: [0.3656851345525048, 0.34310613200659407, 0.4145384671445314] 14 | Score by 'max_val_acc' model: [0.3973053971700025, 0.37379341611140315, 0.4452257512493402] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-26/10.42.48-Fil-39.73054/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-26/10.42.48-Fil-39.73054/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-26/10.51.14-Fil-38.31521/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 100000 5 | PATIENCE = 40 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | cost_time: 0:01:56.510138 11 | 12 | Score by 'last' model: [0.37086884009468707, 0.3492465863212188, 0.4206789214591558] 13 | Score by 'min_val_loss' model: [0.30968131764526236, 0.28809644206086943, 0.3595287771988066] 14 | Score by 'max_val_acc' model: [0.3831521398389439, 0.3601984689545671, 0.43163080409250415] 15 | 16 | 17 | train_file_index: 18 | [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 19 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 20 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 21 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 22 | 183 158 166 113 12 117 93 120] 23 | 24 | validation_file_index: 25 | [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 26 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 27 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 28 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 29 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 30 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 31 | 25 134 71 129 144 192 79 133 137 72 140 37] 32 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-26/10.51.14-Fil-38.31521/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-26/10.51.14-Fil-38.31521/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-11-26/11.21.12-Fil-38.15143/figure.png: 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https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-11-26/17.49.01/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/17.50.44-MF-44.65252/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 7 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:49.398790 25 | 26 | Score by 'last' model: [0.4370650736310588, 0.41296747705953496, 0.4843998121974719] 27 | Score by 'min_val_loss' model: [0.44566198125367523, 0.42127603288632137, 0.4927083680242588] 28 | Score by 'max_val_acc' model: [0.4465251971993258, 0.4219800160250914, 0.4934123511630285] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/17.50.44-MF-44.65252/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-12-29/17.50.44-MF-44.65252/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/18.22.41-MF-45.63383/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:42.094880 25 | 26 | Score by 'last' model: [0.445873565868073, 0.42079186878497893, 0.49222420392291605] 27 | Score by 'min_val_loss' model: [0.4535865737333597, 0.4284999519652724, 0.4999322871032095] 28 | Score by 'max_val_acc' model: [0.45633828364515927, 0.4312645235655109, 0.502696858703448] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/18.22.41-MF-45.63383/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-12-29/18.22.41-MF-45.63383/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/18.44.18-MF-45.72215/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 50 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:02:29.765525 25 | 26 | Score by 'last' model: [0.44308096031896765, 0.41800894386969156, 0.4894412790076286] 27 | Score by 'min_val_loss' model: [0.45722150922314975, 0.4319108735073277, 0.5033432086452648] 28 | Score by 'max_val_acc' model: [0.45722150922314975, 0.4319108735073277, 0.5033432086452648] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/18.44.18-MF-45.72215/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-12-29/18.44.18-MF-45.72215/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/18.52.16-MF-45.85773/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 1000 4 | BATCH_SIZE = 200000 5 | PATIENCE = 20 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 21 9 | 10 | train_file_index: [ 58 40 34 102 184 198 95 4 29 168 171 18 11 89 110 118 159 35 11 | 136 59 51 16 44 94 31 162 38 28 193 27 47 165 194 177 176 97 12 | 174 73 69 172 108 107 189 14 56 19 114 39 185 124 98 123 119 53 13 | 33 179 181 106 199 138 116 67 78 42 17 5 127 105 48 66 54 84 14 | 183 158 166 113 12 117 93 120] 15 | 16 | validation_file_index: [154 90 81 122 191 13 82 132 187 45 99 36 161 186 153 103 195 197 17 | 148 173 75 21 91 152 2 70 85 150 6 112 0 155 77 65 55 167 18 | 88 130 46 62 74 92 147 160 143 87 180 145 164 10 32 83 182 100 19 | 125 23 126 9 170 104 151 135 111 188 64 15 41 163 109 80 52 26 20 | 76 43 24 3 169 49 149 131 190 30 121 115 175 8 60 128 1 57 21 | 22 61 63 7 196 141 86 96 68 50 142 157 156 139 146 101 20 178 22 | 25 134 71 129 144 192 79 133 137 72 140 37] 23 | 24 | cost_time: 0:01:23.809035 25 | 26 | Score by 'last' model: [0.448517451613535] 27 | Score by 'min_val_loss' model: [0.45695915349361843] 28 | Score by 'max_val_acc' model: [0.4585772924071598] 29 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-29/18.52.16-MF-45.85773/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-12-29/18.52.16-MF-45.85773/figure.png 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-------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 1000 5 | PATIENCE = 15 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 11 9 | 10 | CQT / CENS: only CQT 11 | cost_time: 0:06:56.208925 12 | 13 | Score by 'last' model: [0.3264489353325583] 14 | Score by 'min_val_loss' model: [0.33375619251981187] 15 | Score by 'max_val_acc' model: [0.33375619251981187] 16 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2020-12-31/18.05.17-Attention-33.37562/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2020-12-31/18.05.17-Attention-33.37562/figure.png -------------------------------------------------------------------------------- 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= 25000 5 | 6 | data_divide_amount = 1 7 | frames_per_data = 51 8 | 9 | cost_time: 0:32:36.853241 10 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-01/22.26.47-MF/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2021-01-01/22.26.47-MF/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/00.52.41-Attention-28.71767/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 100 4 | BATCH_SIZE = 25000 5 | PATIENCE = 5 6 | 7 | data_divide_amount = 1 8 | frames_per_data = 41 9 | 10 | CQT / CENS: only CQT 11 | cost_time: 0:16:52.853459 12 | 13 | Score by 'last' model: [0.28717667827445403] 14 | Score by 'min_val_loss' model: [0.25801922954194145] 15 | Score by 'max_val_acc' model: [0.2640414505171362] 16 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/00.52.41-Attention-28.71767/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2021-01-02/00.52.41-Attention-28.71767/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/03.38.25/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2021-01-02/03.38.25/figure.png 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-------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 15 4 | BATCH_SIZE = 100000 5 | 6 | data_divide_amount = 1 7 | frames_per_data = 501 8 | 9 | cost_time: 0:03:23.172071 10 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/22.14.59-MF/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2021-01-02/22.14.59-MF/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/22.47.04-MF/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 25 4 | BATCH_SIZE = 100000 5 | 6 | data_divide_amount = 1 7 | frames_per_data = 501 8 | 9 | cost_time: 0:05:41.825916 10 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/22.47.04-MF/figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/checkpoints/2021-01-02/22.47.04-MF/figure.png -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/23.21.53-MF/details.txt: -------------------------------------------------------------------------------- 1 | RAMDON_SEED = 1 2 | 3 | EPOCHS = 17 4 | BATCH_SIZE = 100000 5 | 6 | data_divide_amount = 1 7 | frames_per_data = 501 8 | 9 | cost_time: 0:03:52.311724 10 | -------------------------------------------------------------------------------- /phase1_competition/checkpoints/2021-01-02/23.21.53-MF/figure.png: 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output_file) -------------------------------------------------------------------------------- /phase1_competition/test.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/test.png -------------------------------------------------------------------------------- /phase1_competition/和弦辨識競賽報告.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/和弦辨識競賽報告.docx -------------------------------------------------------------------------------- /phase1_competition/和弦辨識競賽報告.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase1_competition/和弦辨識競賽報告.pdf -------------------------------------------------------------------------------- /phase2_research/chord_mapping.py: -------------------------------------------------------------------------------- 1 | ''' 2 | Copy and edit from ../baseline/chord_mapping.py 3 | ''' 4 | 5 | # quality_list = ['', 'min', '7', 'maj7', 'min7', 'aug', 'dim', '5', 'maj6'] 6 | 7 | mapping_default = { 8 | '' : '', 9 | 'min' : 'min', 10 | '7' : '7', 11 | 'maj7': 'maj7', 12 | 'min7': 'min7', 13 | 'aug' : 'aug', 14 | 'dim' : 'dim', 15 | '5' : '5', 16 | 'maj6': 'maj6', 17 | } 18 | 19 | mapping_majmin = { 20 | '' : '', 21 | 'min' : 'min', 22 | '7' : '', 23 | 'maj7': '', 24 | 'min7': 'min', 25 | 'aug' : '', 26 | 'dim' : 'min', 27 | '5' : '', 28 | 'maj6': '', 29 | } 30 | 31 | mapping_seventh = { 32 | '' : '', 33 | 'min' : 'min', 34 | '7' : '7', 35 | 'maj7': 'maj7', 36 | 'min7': 'min7', 37 | 'aug' : '', 38 | 'dim' : 'min', 39 | '5' : '', 40 | 'maj6': '', 41 | } -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_06.59/details.txt: -------------------------------------------------------------------------------- 1 | # Program name 2 | seq2seq63.py.py 3 | 4 | # Data 5 | SAMPLE_RATE: 44800 6 | VALID_RATIO: 0.2 7 | 8 | # Model 9 | BATCH_LEN: 25 10 | DIM: 192 11 | N: 1 12 | NUM_HEADS: 4 13 | DROPOUT: 0.2 14 | CONV_NUM: 2 15 | 16 | # Train 17 | RANDOM_SEED: 1 18 | TRAIN_BATCHES_LEN: 800 19 | VALID_BATCHES_LEN: 200 20 | INITIAL_LEARNING_RATE: 0.006 21 | DECAY_RATE: 0.93 22 | EPOCH: 300 23 | BATCH_SIZE: 256 24 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_06.59/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.04.23_06.59/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_07.08/details.txt: -------------------------------------------------------------------------------- 1 | # Program name 2 | seq2seq63.py.py 3 | 4 | # Data 5 | SAMPLE_RATE: 44800 6 | VALID_RATIO: 0.2 7 | 8 | # Model 9 | BATCH_LEN: 25 10 | DIM: 192 11 | N: 1 12 | NUM_HEADS: 4 13 | DROPOUT: 0.2 14 | CONV_NUM: 2 15 | 16 | # Train 17 | RANDOM_SEED: 1 18 | TRAIN_BATCHES_LEN: 800 19 | VALID_BATCHES_LEN: 200 20 | INITIAL_LEARNING_RATE: 0.007 21 | DECAY_RATE: 0.95 22 | EPOCH: 300 23 | BATCH_SIZE: 256 24 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_07.08/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.04.23_07.08/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_07.26/details.txt: -------------------------------------------------------------------------------- 1 | # Program name 2 | seq2seq63.py.py 3 | 4 | # Data 5 | SAMPLE_RATE: 44800 6 | VALID_RATIO: 0.2 7 | 8 | # Model 9 | BATCH_LEN: 25 10 | DIM: 192 11 | N: 1 12 | NUM_HEADS: 4 13 | DROPOUT: 0.2 14 | CONV_NUM: 2 15 | 16 | # Train 17 | RANDOM_SEED: 1 18 | TRAIN_BATCHES_LEN: 800 19 | VALID_BATCHES_LEN: 200 20 | INITIAL_LEARNING_RATE: 0.015 21 | DECAY_RATE: 0.987 22 | EPOCH: 300 23 | BATCH_SIZE: 256 24 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_07.26/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.04.23_07.26/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_07.37/details.txt: -------------------------------------------------------------------------------- 1 | # Program name 2 | seq2seq63.py.py 3 | 4 | # Data 5 | SAMPLE_RATE: 44800 6 | VALID_RATIO: 0.2 7 | 8 | # Model 9 | BATCH_LEN: 31 10 | DIM: 192 11 | N: 1 12 | NUM_HEADS: 4 13 | DROPOUT: 0.2 14 | CONV_NUM: 2 15 | 16 | # Train 17 | RANDOM_SEED: 1 18 | TRAIN_BATCHES_LEN: 1000 19 | VALID_BATCHES_LEN: 250 20 | INITIAL_LEARNING_RATE: 0.05 21 | DECAY_RATE: 0.987 22 | EPOCH: 300 23 | BATCH_SIZE: 256 24 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_07.37/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.04.23_07.37/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_10.13/details.txt: -------------------------------------------------------------------------------- 1 | # Program name 2 | seq2seq63.py.py 3 | 4 | # Data 5 | SAMPLE_RATE: 44800 6 | VALID_RATIO: 0.2 7 | 8 | # Model 9 | MODE: 63 10 | BATCH_LEN: 101 11 | DIM: 192 12 | N: 4 13 | NUM_HEADS: 12 14 | DROPOUT: 0.2 15 | CONV_NUM: 3 16 | CONV_DIM: 512 17 | 18 | # Train 19 | RANDOM_SEED: 1 20 | TRAIN_BATCHES_LEN: 400 21 | VALID_BATCHES_LEN: 200 22 | INITIAL_LEARNING_RATE: 0.1 23 | DECAY_RATE: 0.99 24 | EPOCH: 300 25 | BATCH_SIZE: 256 26 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.23_10.13/history.png: 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-------------------------------------------------------------------------------- /phase2_research/ckpt/2021.04.24_01.43/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.04.24_01.43/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.05_12.40/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.2 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 101 11 | DIM : 192 12 | N : 2 13 | NUM_HEADS : 16 14 | DROPOUT : 0.2 15 | CONV_NUM : 2 16 | CONV_DIM : 512 17 | 18 | # Training parameters 19 | RANDOM_SEED : 1 20 | DATASET_HOP : 50 21 | TRAIN_BATCH_LEN: 500 22 | VALID_BATCH_LEN: 500 23 | INITIAL_LR : 0.05 24 | WARMUP_STEPS : 2000 25 | DECAY_STEPS : 200 26 | DECAY_RATE : 0.99 27 | EPOCH : 300 28 | BATCH_SIZE : 512 29 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.05_12.40/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.05_12.40/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.05_18.01/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.2 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 101 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 8 14 | NUM_HEADS : 4 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 70 22 | TRAIN_BATCH_LEN: 2000 23 | VALID_BATCH_LEN: None 24 | INITIAL_LR : 0.0001 25 | WARMUP_STEPS : 10000 26 | DECAY_STEPS : 2000 27 | DECAY_RATE : 0.99 28 | MIN_LR : 5e-06 29 | EPOCH : 300 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.05_18.01/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.05_18.01/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.05_22.44/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 201 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 6 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 90 22 | TRAIN_BATCH_LEN: 100 23 | VALID_BATCH_LEN: 1500 24 | INITIAL_LR : 0.0001 25 | WARMUP_STEPS : 1 26 | DECAY_STEPS : 100 27 | DECAY_RATE : 0.99 28 | MIN_LR : 5e-06 29 | EPOCH : 30 30 | BATCH_SIZE : 64 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.05_22.44/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.05_22.44/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_00.28/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 101 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 8 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 40 22 | TRAIN_BATCH_LEN: 200 23 | VALID_BATCH_LEN: 2000 24 | INITIAL_LR : 0.0001 25 | WARMUP_STEPS : 25 26 | DECAY_STEPS : 200 27 | DECAY_RATE : 0.99 28 | MIN_LR : 5e-06 29 | EPOCH : 30 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_00.28/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.06_00.28/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_02.12/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 101 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 4 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 30 22 | TRAIN_BATCH_LEN: 500 23 | VALID_BATCH_LEN: 2500 24 | INITIAL_LR : 0.0001 25 | WARMUP_STEPS : 10 26 | DECAY_STEPS : 500 27 | DECAY_RATE : 0.99 28 | MIN_LR : 5e-06 29 | EPOCH : 30 30 | BATCH_SIZE : 256 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_02.12/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.06_02.12/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_13.38/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 201 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 4 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 70 22 | TRAIN_BATCH_LEN: 120 23 | VALID_BATCH_LEN: None 24 | INITIAL_LR : 0.0001 25 | WARMUP_STEPS : 10 26 | DECAY_STEPS : 40 27 | DECAY_RATE : 0.975 28 | MIN_LR : 5e-06 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_13.38/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.06_13.38/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_15.07/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 201 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 3 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 80 22 | TRAIN_BATCH_LEN: 200 23 | VALID_BATCH_LEN: None 24 | INITIAL_LR : 5e-05 25 | WARMUP_STEPS : 5 26 | DECAY_STEPS : 50 27 | DECAY_RATE : 0.975 28 | MIN_LR : 1e-06 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_15.07/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.06_15.07/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_20.48/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 101 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 8 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 40 22 | TRAIN_BATCH_LEN: 400 23 | VALID_BATCH_LEN: None 24 | INITIAL_LR : 0.0001 25 | WARMUP_STEPS : 5 26 | DECAY_STEPS : 100 27 | DECAY_RATE : 0.975 28 | MIN_LR : 5e-06 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_20.48/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.06_20.48/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_22.00/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.4 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 101 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 4 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 50 22 | TRAIN_BATCH_LEN: 400 23 | VALID_BATCH_LEN: 2000 24 | INITIAL_LR : 2.5e-05 25 | WARMUP_STEPS : 5 26 | DECAY_STEPS : 100 27 | DECAY_RATE : 0.975 28 | MIN_LR : 1e-06 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.06_22.00/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.06_22.00/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_00.14/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 201 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 2 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 80 22 | TRAIN_BATCH_LEN: 500 23 | VALID_BATCH_LEN: 2000 24 | INITIAL_LR : 0.0005 25 | WARMUP_STEPS : 5 26 | DECAY_STEPS : 50 27 | DECAY_RATE : 0.975 28 | MIN_LR : 1e-06 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_00.14/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_00.14/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_01.15/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 201 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 2 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 80 22 | TRAIN_BATCH_LEN: 400 23 | VALID_BATCH_LEN: 2000 24 | INITIAL_LR : 5e-06 25 | WARMUP_STEPS : 5 26 | DECAY_STEPS : 50 27 | DECAY_RATE : 0.975 28 | MIN_LR : 1e-08 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_01.15/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_01.15/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_01.47/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_MODE : seq2seq 9 | OUTPUT_MODE: 63 10 | BATCH_LEN : 201 11 | DIM : 192 12 | QKV_DIM : 128 13 | N : 2 14 | NUM_HEADS : 16 15 | DROPOUT : 0.2 16 | CONV_NUM : 2 17 | CONV_DIM : 128 18 | 19 | # Training parameters 20 | RANDOM_SEED : 1 21 | DATASET_HOP : 80 22 | TRAIN_BATCH_LEN: 300 23 | VALID_BATCH_LEN: 1000 24 | INITIAL_LR : 1e-05 25 | WARMUP_STEPS : 5 26 | DECAY_STEPS : 300 27 | DECAY_RATE : 0.975 28 | MIN_LR : 5e-07 29 | EPOCH : 50 30 | BATCH_SIZE : 128 31 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_01.47/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_01.47/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_07.02_integrate_31%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 101 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 2 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 40 23 | TRAIN_BATCH_LEN: 100 24 | VALID_BATCH_LEN: 500 25 | INITIAL_LR : 1e-05 26 | WARMUP_STEPS : 5 27 | DECAY_STEPS : 100 28 | DECAY_RATE : 0.975 29 | MIN_LR : 5e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_07.02_integrate_31%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_07.02_integrate_31%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_07.21_integrate_30%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 100 24 | VALID_BATCH_LEN: 500 25 | INITIAL_LR : 0.0005 26 | WARMUP_STEPS : 0 27 | DECAY_STEPS : 100 28 | DECAY_RATE : 0.975 29 | MIN_LR : 1e-06 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_07.21_integrate_30%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_07.21_integrate_30%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_07.35_integrate_43%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 3 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 200 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0005 26 | WARMUP_STEPS : 200 27 | DECAY_STEPS : 200 28 | DECAY_RATE : 0.93 29 | MIN_LR : 1e-06 30 | EPOCH : 50 31 | BATCH_SIZE : 128 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_07.35_integrate_43%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_07.35_integrate_43%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_09.42_unknown_51%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_09.42_unknown_51%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_10.27_integrate_32%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 300 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0005 26 | WARMUP_STEPS : 300 27 | DECAY_STEPS : 300 28 | DECAY_RATE : 0.93 29 | MIN_LR : 1e-06 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_10.27_integrate_32%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_10.27_integrate_32%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_10.57_integrate_37%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 6 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 300 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0005 26 | WARMUP_STEPS : 300 27 | DECAY_STEPS : 300 28 | DECAY_RATE : 0.93 29 | MIN_LR : 1e-06 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_10.57_integrate_37%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_10.57_integrate_37%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_14.54_integrate_52%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2000 25 | INITIAL_LR : 0.0005 26 | WARMUP_STEPS : 500 27 | DECAY_STEPS : 500 28 | DECAY_RATE : 0.93 29 | MIN_LR : 1e-06 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.07_14.54_integrate_52%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.07_14.54_integrate_52%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_03.04_integrate_48% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 8 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2000 25 | INITIAL_LR : 0.0005 26 | WARMUP_STEPS : 500 27 | DECAY_STEPS : 500 28 | DECAY_RATE : 0.93 29 | MIN_LR : 1e-06 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_03.04_integrate_48% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.08_03.04_integrate_48% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_12.14_integrate_58% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 70 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2000 25 | INITIAL_LR : 0.005 26 | WARMUP_STEPS : 500 27 | DECAY_STEPS : 500 28 | DECAY_RATE : 0.93 29 | MIN_LR : 1e-05 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_12.14_integrate_58% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.08_12.14_integrate_58% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_16.07_integrate_55% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 201 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2000 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 500 27 | DECAY_STEPS : 500 28 | DECAY_RATE : 0.9 29 | MIN_LR : 5e-08 30 | EPOCH : 50 31 | BATCH_SIZE : 128 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_16.07_integrate_55% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.08_16.07_integrate_55% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_23.50_separate_8% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : separate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 201 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2000 25 | INITIAL_LR : 1e-05 26 | WARMUP_STEPS : 500 27 | DECAY_STEPS : 500 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-08 30 | EPOCH : 50 31 | BATCH_SIZE : 128 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.08_23.50_separate_8% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.08_23.50_separate_8% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.09_02.03_integrate_55% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 201 23 | TRAIN_BATCH_LEN: 750 24 | VALID_BATCH_LEN: 2000 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 750 27 | DECAY_STEPS : 750 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 128 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.09_02.03_integrate_55% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.09_02.03_integrate_55% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.09_11.05_integrate_50% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 201 23 | TRAIN_BATCH_LEN: 250 24 | VALID_BATCH_LEN: 1000 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 250 27 | DECAY_STEPS : 250 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 128 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.09_11.05_integrate_50% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.09_11.05_integrate_50% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_05.01_integrate_43% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 201 12 | DIM : 192 13 | QKV_DIM : 128 14 | N : 4 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 201 23 | TRAIN_BATCH_LEN: 250 24 | VALID_BATCH_LEN: 1000 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 250 27 | DECAY_STEPS : 250 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_05.01_integrate_43% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.10_05.01_integrate_43% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_15.00__integrate_53% (majmin)/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: majmin 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 101 12 | DIM : 192 13 | QKV_DIM : 256 14 | N : 4 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 101 23 | TRAIN_BATCH_LEN: 250 24 | VALID_BATCH_LEN: 1000 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 250 27 | DECAY_STEPS : 250 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 128 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_15.00__integrate_53% (majmin)/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.10_15.00__integrate_53% (majmin)/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_17.34_integrate_32%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 101 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 8 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 101 23 | TRAIN_BATCH_LEN: 200 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 200 27 | DECAY_STEPS : 200 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_17.34_integrate_32%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.10_17.34_integrate_32%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_19.02_integrate_32%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 101 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 8 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 101 23 | TRAIN_BATCH_LEN: 200 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 200 27 | DECAY_STEPS : 200 28 | DECAY_RATE : 0.9 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_19.02_integrate_32%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.10_19.02_integrate_32%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_20.02_integrate_32%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 101 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 6 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 101 23 | TRAIN_BATCH_LEN: 200 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 200 27 | DECAY_STEPS : 200 28 | DECAY_RATE : 0.95 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 64 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_20.02_integrate_32%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.10_20.02_integrate_32%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_21.25_integrate_32%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 251 12 | DIM : 192 13 | QKV_DIM : 256 14 | N : 6 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Training parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 251 23 | TRAIN_BATCH_LEN: 200 24 | VALID_BATCH_LEN: 1500 25 | INITIAL_LR : 0.0001 26 | WARMUP_STEPS : 200 27 | DECAY_STEPS : 200 28 | DECAY_RATE : 0.95 29 | MIN_LR : 1e-07 30 | EPOCH : 50 31 | BATCH_SIZE : 32 32 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.10_21.25_integrate_32%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.10_21.25_integrate_32%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_05.32_separate_X/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : separate 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 256 14 | N : 8 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 100 24 | VALID_BATCH_LEN: 500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.005 28 | WARMUP_STEPS: 100 29 | DECAY_STEPS : 100 30 | DECAY_RATE : 0.93 31 | MIN_LR : 1e-06 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_05.32_separate_X/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.11_05.32_separate_X/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_05.55_root_5%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : root 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 256 14 | N : 8 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.005 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.93 31 | MIN_LR : 1e-06 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_05.55_root_5%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.11_05.55_root_5%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_14.01_root_75%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : root 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 256 14 | N : 4 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.005 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.9 31 | MIN_LR : 1e-06 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_14.01_root_75%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.11_14.01_root_75%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_16.28_root_75%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : root 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 6 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.001 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.85 31 | MIN_LR : 1e-06 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_16.28_root_75%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.11_16.28_root_75%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_18.12_quality_47%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : quality 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 6 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.001 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.85 31 | MIN_LR : 1e-06 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.11_18.12_quality_47%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.11_18.12_quality_47%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.12_05.28_quality_bitmap_4%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : quality_bitmap 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 6 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.001 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.85 31 | MIN_LR : 1e-06 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.05.12_05.28_quality_bitmap_4%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.05.12_05.28_quality_bitmap_4%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_00.25/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.06.11_00.25/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_03.07_integrate_43%/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 8 15 | NUM_HEADS : 16 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.0003 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.8 31 | MIN_LR : 5e-07 32 | EPOCH : 50 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_03.07_integrate_43%/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.06.11_03.07_integrate_43%/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_16.21/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 51 12 | DIM : 192 13 | QKV_DIM : 512 14 | N : 6 15 | NUM_HEADS : 32 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 500 24 | VALID_BATCH_LEN: 2500 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.001 28 | WARMUP_STEPS: 500 29 | DECAY_STEPS : 500 30 | DECAY_RATE : 0.705 31 | MIN_LR : 1e-06 32 | EPOCH : 30 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_16.21/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.06.11_16.21/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_19.50/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 51 12 | N : 7 13 | DIM : 192 14 | NUM_HEADS : 24 15 | QKV_DIM : 384 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 1000 24 | VALID_BATCH_LEN: 3000 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.001 28 | WARMUP_STEPS: 1000 29 | DECAY_STEPS : 1000 30 | DECAY_RATE : 0.705 31 | MIN_LR : 1e-06 32 | EPOCH : 30 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_19.50/history.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aisu-programming/Chord-Recognition/fc6c416e0c712a4ebc217533d207d1a64b2ce1ff/phase2_research/ckpt/2021.06.11_19.50/history.png -------------------------------------------------------------------------------- /phase2_research/ckpt/2021.06.11_22.36/details.txt: -------------------------------------------------------------------------------- 1 | # Data parameters 2 | LOAD_SONG_AMOUNT: 200 3 | SAMPLE_RATE : 44800 4 | HOP_LENGTH : 4480 5 | VALID_RATIO : 0.6 6 | 7 | # Model parameters 8 | MODEL_TARGET: seventh 9 | MODEL_MODE : seq2seq 10 | PRED_MODE : integrate 11 | BATCH_LEN : 51 12 | N : 7 13 | DIM : 192 14 | NUM_HEADS : 24 15 | QKV_DIM : 384 16 | DROPOUT : 0.2 17 | CONV_NUM : 2 18 | CONV_DIM : 128 19 | 20 | # Preprocess parameters 21 | RANDOM_SEED : 1 22 | DATASET_HOP : 51 23 | TRAIN_BATCH_LEN: 1000 24 | VALID_BATCH_LEN: 3000 25 | 26 | # Training parameters 27 | INITIAL_LR : 0.0006 28 | WARMUP_STEPS: 1000 29 | DECAY_STEPS : 1000 30 | DECAY_RATE : 0.9 31 | MIN_LR : 7e-05 32 | EPOCH : 30 33 | BATCH_SIZE : 128 34 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | numpy==1.19.2 2 | pandas 3 | matplotlib 4 | mir_eval 5 | tensorflow==2.4.0 6 | pydot==1.2.3 7 | graphviz 8 | tqdm --------------------------------------------------------------------------------