Upload 11 files

densenet201_cqt_2024-02-22_00-01-12/acc.csv

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+tra_acc_list,val_acc_list,lr_list
+34.308807134894096,32.700892857142854,0.001
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+75.3901895206243,76.5625,0.001
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+78.77647714604237,75.89285714285714,0.0001
+79.06911928651058,75.11160714285714,0.0001
+80.6577480490524,79.01785714285714,0.0001
+79.79375696767002,78.125,0.0001
+79.69620958751393,76.33928571428571,0.0001
+80.01672240802675,82.14285714285714,0.0001
+81.10367892976589,78.79464285714286,0.0001
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+81.4938684503902,81.02678571428571,1e-05
+81.18729096989966,80.58035714285714,1e-05
+81.04793756967669,78.68303571428571,1e-05

densenet201_cqt_2024-02-22_00-01-12/mat.csv

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+1.372767857142857262e-01,1.897321428571428423e-02,7.812500000000000000e-03,3.348214285714285528e-03
+1.785714285714285615e-02,2.511160714285714524e-01,7.812500000000000000e-03,6.584821428571428770e-02
+1.004464285714285789e-02,6.696428571428571057e-03,1.540178571428571508e-01,2.008928571428571577e-02
+3.348214285714285528e-03,4.352678571428571230e-02,2.120535714285714385e-02,2.310267857142857262e-01

densenet201_cqt_2024-02-22_00-01-12/result.log

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+              precision    recall  f1-score   support
+
+     m_chest      0.815     0.820     0.817       150
+     f_chest      0.784     0.733     0.758       307
+  m_falsetto      0.807     0.807     0.807       171
+  f_falsetto      0.721     0.772     0.746       268
+
+    accuracy                          0.773       896
+   macro avg      0.782     0.783     0.782       896
+weighted avg      0.775     0.773     0.774       896
+
+Backbone      : densenet201
+Spect type    : cqt
+Start time    : 2024-02-21 20:10:01
+Finish time   : 2024-02-22 00:00:56
+Time cost     : 13855s
+Full finetune : True
+Focal loss    : True

densenet201_cqt_2024-02-22_00-01-12/save.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:309ca08801360f54c3060b6601ae362d50af3b726615173bac31cd8a89001dd2
+size 76897180