Upload 11 files
Browse files- googlenet_mel_2024-02-20_18-38-05/acc.csv +41 -0
- googlenet_mel_2024-02-20_18-38-05/acc.jpg +0 -0
- googlenet_mel_2024-02-20_18-38-05/acc.pdf +0 -0
- googlenet_mel_2024-02-20_18-38-05/loss.csv +0 -0
- googlenet_mel_2024-02-20_18-38-05/loss.jpg +0 -0
- googlenet_mel_2024-02-20_18-38-05/loss.pdf +0 -0
- googlenet_mel_2024-02-20_18-38-05/mat.csv +4 -0
- googlenet_mel_2024-02-20_18-38-05/mat.jpg +0 -0
- googlenet_mel_2024-02-20_18-38-05/mat.pdf +0 -0
- googlenet_mel_2024-02-20_18-38-05/result.log +18 -0
- googlenet_mel_2024-02-20_18-38-05/save.pt +3 -0
googlenet_mel_2024-02-20_18-38-05/acc.csv
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tra_acc_list,val_acc_list,lr_list
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32.887402452619845,33.370535714285715,0.001
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33.51449275362319,36.160714285714285,0.001
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58.347268673355636,56.58482142857143,0.001
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66.5551839464883,65.51339285714286,0.001
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78.90189520624304,75.66964285714286,0.001
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85.71627647714605,81.36160714285714,0.001
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87.76477146042363,84.375,0.001
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90.18952062430323,87.5,0.001
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90.63545150501672,87.16517857142857,0.001
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92.57246376811594,89.0625,0.001
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95.28985507246377,91.62946428571429,0.001
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95.28985507246377,92.29910714285714,0.001
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96.44648829431438,94.64285714285714,0.001
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96.335005574136,94.08482142857143,0.001
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96.19565217391305,93.97321428571429,0.001
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96.75306577480491,92.63392857142857,0.001
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97.26867335562987,95.87053571428571,0.001
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97.12931995540691,95.20089285714286,0.001
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96.71125975473801,92.1875,0.001
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97.51950947603122,96.65178571428571,0.001
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98.16053511705685,96.65178571428571,0.001
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98.24414715719062,96.20535714285714,0.001
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97.61705685618729,94.64285714285714,0.001
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98.8015607580825,96.20535714285714,0.001
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98.87123745819399,96.54017857142857,0.0001
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googlenet_mel_2024-02-20_18-38-05/acc.jpg
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googlenet_mel_2024-02-20_18-38-05/acc.pdf
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Binary file (26.8 kB). View file
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googlenet_mel_2024-02-20_18-38-05/loss.csv
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The diff for this file is too large to render.
See raw diff
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googlenet_mel_2024-02-20_18-38-05/loss.jpg
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googlenet_mel_2024-02-20_18-38-05/loss.pdf
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googlenet_mel_2024-02-20_18-38-05/mat.csv
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1.662946428571428492e-01,2.232142857142857019e-03,1.116071428571428509e-03,0.000000000000000000e+00
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6.696428571428571057e-03,3.191964285714285476e-01,0.000000000000000000e+00,5.580357142857142981e-03
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2.232142857142857019e-03,0.000000000000000000e+00,1.830357142857142738e-01,2.232142857142857019e-03
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0.000000000000000000e+00,5.580357142857142981e-03,1.116071428571428509e-03,3.046875000000000000e-01
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googlenet_mel_2024-02-20_18-38-05/mat.jpg
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googlenet_mel_2024-02-20_18-38-05/mat.pdf
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googlenet_mel_2024-02-20_18-38-05/result.log
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precision recall f1-score support
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m_chest 0.949 0.980 0.964 152
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f_chest 0.976 0.963 0.969 297
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m_falsetto 0.988 0.976 0.982 168
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f_falsetto 0.975 0.978 0.977 279
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accuracy 0.973 896
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macro avg 0.972 0.974 0.973 896
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weighted avg 0.973 0.973 0.973 896
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Backbone : googlenet
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Spect type : mel
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Start time : 2024-02-20 16:50:32
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Finish time : 2024-02-20 18:37:51
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Time cost : 6438s
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Full finetune : True
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Focal loss : True
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googlenet_mel_2024-02-20_18-38-05/save.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a19c5a073568d27fcac3823e775002305ca96548b3bf841cd7e99d19dffae9d
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size 49227549
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