Upload 11 files

swin_t_cqt_2024-02-20_15-06-28/acc.csv

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+tra_acc_list,val_acc_list,lr_list
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+91.44727677949575,86.2876254180602,1e-05
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swin_t_cqt_2024-02-20_15-06-28/mat.csv

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+1.469933184855233832e-01,4.454342984409799359e-03,1.670378619153674998e-02,0.000000000000000000e+00
+8.908685968819598719e-03,2.850779510022271590e-01,0.000000000000000000e+00,4.788418708240534810e-02
+4.454342984409799359e-03,2.227171492204899680e-03,1.770601336302895235e-01,6.681514476614699473e-03
+0.000000000000000000e+00,1.447661469933184814e-02,5.567928730512249416e-03,2.795100222717148974e-01

swin_t_cqt_2024-02-20_15-06-28/result.log

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+              precision    recall  f1-score   support
+
+     m_chest      0.917     0.874     0.895       151
+     f_chest      0.931     0.834     0.880       307
+  m_falsetto      0.888     0.930     0.909       171
+  f_falsetto      0.837     0.933     0.882       269
+
+    accuracy                          0.889       898
+   macro avg      0.893     0.893     0.891       898
+weighted avg      0.892     0.889     0.889       898
+
+Backbone      : swin_t
+Spect type    : cqt
+Start time    : 2024-02-20 12:57:01
+Finish time   : 2024-02-20 15:06:14
+Time cost     : 7752s
+Full finetune : True
+Focal loss    : True

swin_t_cqt_2024-02-20_15-06-28/save.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:905914460cca860df5bc04cbe073ed6dbea57264bfd3082674de41aebb23a5e7
+size 111011715