Upload 11 files

efficientnet_v2_s_mel_2024-02-21_19-15-17/acc.csv

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+tra_acc_list,val_acc_list,lr_list
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efficientnet_v2_s_mel_2024-02-21_19-15-17/mat.csv

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+1.573660714285714246e-01,3.348214285714285528e-03,0.000000000000000000e+00,0.000000000000000000e+00
+5.580357142857142981e-03,2.912946428571428492e-01,1.116071428571428596e-02,0.000000000000000000e+00
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+0.000000000000000000e+00,0.000000000000000000e+00,1.227678571428571404e-02,3.381696428571428492e-01

efficientnet_v2_s_mel_2024-02-21_19-15-17/result.log

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+              precision    recall  f1-score   support
+
+     m_chest      0.966     0.979     0.972       144
+     f_chest      0.963     0.946     0.954       276
+  m_falsetto      0.876     0.920     0.898       162
+  f_falsetto      0.981     0.965     0.973       314
+
+    accuracy                          0.953       896
+   macro avg      0.946     0.952     0.949       896
+weighted avg      0.954     0.953     0.953       896
+
+Backbone      : efficientnet_v2_s
+Spect type    : mel
+Start time    : 2024-02-21 16:04:08
+Finish time   : 2024-02-21 19:15:07
+Time cost     : 11458s
+Full finetune : True
+Focal loss    : True

efficientnet_v2_s_mel_2024-02-21_19-15-17/save.pt

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