Upload 11 files

squeezenet1_1_cqt_2024-01-11_23-02-36/acc.csv

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+tra_acc_list,val_acc_list,lr_list
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squeezenet1_1_cqt_2024-01-11_23-02-36/mat.csv

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+1.547884187082405327e-01,4.454342984409799359e-03,1.002227171492204964e-02,0.000000000000000000e+00
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+0.000000000000000000e+00,1.224944320712694802e-02,8.908685968819598719e-03,3.207126948775055886e-01

squeezenet1_1_cqt_2024-01-11_23-02-36/result.log

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+              precision    recall  f1-score   support
+
+     m_chest      0.972     0.914     0.942       152
+     f_chest      0.930     0.909     0.919       276
+  m_falsetto      0.893     0.920     0.906       163
+  f_falsetto      0.909     0.938     0.923       307
+
+    accuracy                          0.922       898
+   macro avg      0.926     0.921     0.923       898
+weighted avg      0.923     0.922     0.922       898
+
+Backbone      : squeezenet1_1
+Spect type    : cqt
+Start time    : 2024-01-11 22:05:03
+Finish time   : 2024-01-11 23:02:23
+Time cost     : 3440s
+Full finetune : True
+Focal loss    : True

squeezenet1_1_cqt_2024-01-11_23-02-36/save.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b6d927d57a37568fa236ea4bd6a1983e1a63bed2ad77d27cd4847da1e590f766
+size 3233591