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Browse files- mnasnet1_3_mel_2024-02-22_09-44-28/acc.csv +41 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/acc.jpg +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/acc.pdf +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/loss.csv +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/loss.jpg +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/loss.pdf +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/mat.csv +4 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/mat.jpg +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/mat.pdf +0 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/result.log +18 -0
- mnasnet1_3_mel_2024-02-22_09-44-28/save.pt +3 -0
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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32.357859531772576,31.808035714285715,0.001
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33.43088071348941,33.705357142857146,0.001
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33.90468227424749,34.375,0.001
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35.57692307692308,35.15625,0.001
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52.0066889632107,53.45982142857143,0.001
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55.574136008918614,54.79910714285714,0.001
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58.16610925306578,59.48660714285714,0.001
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62.45819397993311,60.26785714285714,0.001
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63.7402452619844,64.95535714285714,0.001
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67.7257525083612,65.95982142857143,0.001
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72.00390189520624,70.53571428571429,0.001
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77.03455964325529,72.65625,0.001
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80.37904124860647,76.22767857142857,0.001
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83.11036789297658,79.24107142857143,0.001
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86.59420289855072,80.35714285714286,0.001
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85.5211817168339,83.48214285714286,0.001
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89.08862876254182,84.26339285714286,0.001
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90.6911928651059,84.82142857142857,0.0001
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90.00836120401338,84.375,0.0001
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90.87235228539576,86.83035714285714,0.0001
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91.31828316610925,84.93303571428571,0.0001
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91.22073578595318,88.28125,0.0001
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91.34615384615384,87.27678571428571,0.0001
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91.9314381270903,88.05803571428571,0.0001
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92.04292084726868,88.28125,0.0001
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91.58305462653288,88.05803571428571,0.0001
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92.7257525083612,88.28125,0.0001
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92.3076923076923,89.0625,0.0001
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92.3773690078038,89.0625,0.0001
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92.65607580824971,88.50446428571429,0.0001
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92.87904124860647,88.61607142857143,0.0001
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93.26923076923077,89.95535714285714,0.0001
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92.86510590858417,89.73214285714286,1e-05
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mnasnet1_3_mel_2024-02-22_09-44-28/acc.jpg
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mnasnet1_3_mel_2024-02-22_09-44-28/acc.pdf
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mnasnet1_3_mel_2024-02-22_09-44-28/loss.csv
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The diff for this file is too large to render.
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mnasnet1_3_mel_2024-02-22_09-44-28/loss.jpg
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mnasnet1_3_mel_2024-02-22_09-44-28/loss.pdf
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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
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8.928571428571428076e-03,2.935267857142856984e-01,4.464285714285714038e-03,0.000000000000000000e+00
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1.116071428571428509e-03,7.812500000000000000e-03,1.517857142857142738e-01,2.008928571428571577e-02
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0.000000000000000000e+00,1.116071428571428509e-03,3.459821428571428770e-02,3.136160714285714524e-01
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mnasnet1_3_mel_2024-02-22_09-44-28/mat.jpg
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mnasnet1_3_mel_2024-02-22_09-44-28/mat.pdf
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Binary file (23.4 kB). View file
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mnasnet1_3_mel_2024-02-22_09-44-28/result.log
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precision recall f1-score support
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m_chest 0.933 0.863 0.897 146
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f_chest 0.904 0.956 0.929 275
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m_falsetto 0.795 0.840 0.817 162
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f_falsetto 0.940 0.898 0.918 313
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accuracy 0.900 896
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macro avg 0.893 0.889 0.890 896
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weighted avg 0.902 0.900 0.900 896
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Backbone : mnasnet1_3
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Spect type : mel
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Start time : 2024-02-22 08:54:46
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Finish time : 2024-02-22 09:44:23
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Time cost : 2977s
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Full finetune : True
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Focal loss : True
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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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oid sha256:f6dfeb3fcfbac920465b36d6afb02321eee983e7713fac385eef76749431b0d9
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size 21836673
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