Upload 11 files

mnasnet1_3_mel_2024-02-22_09-44-28/acc.csv

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+tra_acc_list,val_acc_list,lr_list
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+90.87235228539576,86.83035714285714,0.0001
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+92.86510590858417,89.73214285714286,1e-05

mnasnet1_3_mel_2024-02-22_09-44-28/mat.csv

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+1.406250000000000000e-01,2.232142857142857192e-02,0.000000000000000000e+00,0.000000000000000000e+00
+8.928571428571428076e-03,2.935267857142856984e-01,4.464285714285714038e-03,0.000000000000000000e+00
+1.116071428571428509e-03,7.812500000000000000e-03,1.517857142857142738e-01,2.008928571428571577e-02
+0.000000000000000000e+00,1.116071428571428509e-03,3.459821428571428770e-02,3.136160714285714524e-01

mnasnet1_3_mel_2024-02-22_09-44-28/result.log

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+              precision    recall  f1-score   support
+
+     m_chest      0.933     0.863     0.897       146
+     f_chest      0.904     0.956     0.929       275
+  m_falsetto      0.795     0.840     0.817       162
+  f_falsetto      0.940     0.898     0.918       313
+
+    accuracy                          0.900       896
+   macro avg      0.893     0.889     0.890       896
+weighted avg      0.902     0.900     0.900       896
+
+Backbone      : mnasnet1_3
+Spect type    : mel
+Start time    : 2024-02-22 08:54:46
+Finish time   : 2024-02-22 09:44:23
+Time cost     : 2977s
+Full finetune : True
+Focal loss    : True

mnasnet1_3_mel_2024-02-22_09-44-28/save.pt

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+version https://git-lfs.github.com/spec/v1
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+size 21836673