Upload 11 files

convnext_tiny_cqt_4cls_2024-02-25_21-30-35/acc.csv

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+tra_acc_list,val_acc_list,lr_list
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+88.84405102837802,87.29166666666667,1e-05
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convnext_tiny_cqt_4cls_2024-02-25_21-30-35/mat.csv

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+1.383975026014568066e-01,0.000000000000000000e+00,2.081165452653485973e-02,0.000000000000000000e+00
+0.000000000000000000e+00,1.789802289281997860e-01,0.000000000000000000e+00,3.121748178980228786e-02
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convnext_tiny_cqt_4cls_2024-02-25_21-30-35/result.log

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+              precision    recall  f1-score   support
+
+       m_bel      0.801     0.869     0.834       153
+       f_bel      0.864     0.851     0.858       202
+      m_folk      0.856     0.815     0.835       189
+      f_folk      0.923     0.921     0.922       417
+
+    accuracy                          0.877       961
+   macro avg      0.861     0.864     0.862       961
+weighted avg      0.878     0.877     0.877       961
+
+Class num     : 4
+Backbone      : convnext_tiny
+Pretrain src  : ImageNet1k_v1
+Data column   : cqt
+Start time    : 2024-02-25 18:37:32
+Finish time   : 2024-02-25 21:30:25
+Time cost     : 10373s
+Full finetune : True
+Focal loss    : True

convnext_tiny_cqt_4cls_2024-02-25_21-30-35/save.pt

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+version https://git-lfs.github.com/spec/v1
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+size 111985033