2006 lines
83 KiB
Text
2006 lines
83 KiB
Text
File : train.py 86f88a78d9ab160bcc35ec677f85faf945d1131a3ede2282ebc808596e250907
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Model : model.py 0cf3352991a284cbf63f3f0e44c07fc3bffe61c9d720298ad8c18e57681b88c3
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PyTorch: 1.11.0+cu113
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Device : Tesla P100-PCIE-16GB
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Dtype : torch.float16
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Files already downloaded and verified
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Preprocessing: 3.73 seconds
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epoch batch train time [sec] validation accuracy
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1 97 9.96 0.2183
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2 194 18.35 0.7741
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3 291 26.74 0.8689
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4 388 35.12 0.8988
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5 485 43.51 0.9121
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6 582 51.89 0.9211
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7 679 60.27 0.9273
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8 776 68.65 0.9318
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9 873 77.04 0.9364
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10 970 85.42 0.9405
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1 of 1 runs >= 94.0 % accuracy
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Min accuracy: 0.9405
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Max accuracy: 0.9405
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Mean accuracy: 0.9405 +- 0.0
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Files already downloaded and verified
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Preprocessing: 1.35 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.39 0.1883
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2 194 16.77 0.7746
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3 291 25.16 0.8727
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4 388 33.54 0.9000
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5 485 41.92 0.9098
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6 582 50.31 0.9203
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7 679 58.69 0.9279
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8 776 67.08 0.9348
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9 873 75.46 0.9393
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10 970 83.85 0.9428
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2 of 2 runs >= 94.0 % accuracy
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Min accuracy: 0.9405
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.9416500000000001 +- 0.0011500000000000399
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Files already downloaded and verified
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Preprocessing: 1.31 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.39 0.1840
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2 194 16.77 0.7696
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3 291 25.16 0.8745
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4 388 33.54 0.8971
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5 485 41.93 0.9123
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6 582 50.31 0.9200
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7 679 58.69 0.9282
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8 776 67.08 0.9342
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9 873 75.46 0.9389
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10 970 83.85 0.9414
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3 of 3 runs >= 94.0 % accuracy
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Min accuracy: 0.9405
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.9415666666666667 +- 0.0009463379711052599
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Files already downloaded and verified
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Preprocessing: 1.33 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1896
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2 194 16.77 0.7562
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3 291 25.15 0.8768
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4 388 33.54 0.8971
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5 485 41.92 0.9150
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6 582 50.31 0.9197
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7 679 58.69 0.9254
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8 776 67.07 0.9341
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9 873 75.46 0.9378
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10 970 83.84 0.9418
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4 of 4 runs >= 94.0 % accuracy
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Min accuracy: 0.9405
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.941625 +- 0.000825757228245719
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Files already downloaded and verified
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Preprocessing: 1.37 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1951
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2 194 16.77 0.7719
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3 291 25.15 0.8795
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4 388 33.54 0.8969
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5 485 41.92 0.9098
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6 582 50.30 0.9217
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7 679 58.69 0.9295
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8 776 67.07 0.9363
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9 873 75.46 0.9388
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10 970 83.84 0.9412
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5 of 5 runs >= 94.0 % accuracy
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Min accuracy: 0.9405
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.94154 +- 0.0007578918128598851
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Files already downloaded and verified
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Preprocessing: 1.34 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.39 0.2589
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2 194 16.77 0.7830
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3 291 25.15 0.8764
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4 388 33.54 0.9010
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5 485 41.92 0.9105
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6 582 50.30 0.9174
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7 679 58.69 0.9261
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8 776 67.07 0.9320
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9 873 75.45 0.9367
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10 970 83.84 0.9390
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5 of 6 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.9411166666666667 +- 0.001172485489130782
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Files already downloaded and verified
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Preprocessing: 1.35 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1756
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2 194 16.77 0.7820
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3 291 25.15 0.8783
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4 388 33.54 0.8994
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5 485 41.92 0.9105
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6 582 50.30 0.9194
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7 679 58.68 0.9277
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8 776 67.07 0.9334
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9 873 75.45 0.9382
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10 970 83.84 0.9414
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6 of 7 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.9411571428571428 +- 0.0010900290203963118
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Files already downloaded and verified
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Preprocessing: 1.35 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1676
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2 194 16.77 0.7640
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3 291 25.15 0.8803
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4 388 33.53 0.9012
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5 485 41.92 0.9124
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6 582 50.30 0.9221
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7 679 58.68 0.9266
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8 776 67.07 0.9328
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9 873 75.45 0.9375
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10 970 83.83 0.9399
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6 of 8 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.941 +- 0.0011011357772772667
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Files already downloaded and verified
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Preprocessing: 1.36 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.2273
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2 194 16.77 0.7778
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3 291 25.15 0.8723
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4 388 33.54 0.8976
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5 485 41.92 0.9100
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6 582 50.30 0.9207
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7 679 58.68 0.9291
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8 776 67.07 0.9328
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9 873 75.45 0.9383
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10 970 83.83 0.9421
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7 of 9 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9428000000000001
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Mean accuracy: 0.9411222222222223 +- 0.001094204711476465
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Files already downloaded and verified
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Preprocessing: 1.33 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.2068
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2 194 16.77 0.7633
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3 291 25.15 0.8706
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4 388 33.54 0.8972
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5 485 41.92 0.9108
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6 582 50.30 0.9190
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7 679 58.68 0.9271
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8 776 67.07 0.9327
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9 873 75.45 0.9389
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10 970 83.84 0.9431
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8 of 10 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9431
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Mean accuracy: 0.9413199999999999 +- 0.0011956588142108143
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Files already downloaded and verified
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Preprocessing: 1.34 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.39 0.1576
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2 194 16.77 0.7786
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3 291 25.15 0.8768
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4 388 33.54 0.9014
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5 485 41.92 0.9126
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6 582 50.30 0.9199
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7 679 58.69 0.9259
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8 776 67.07 0.9328
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9 873 75.46 0.9383
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10 970 83.84 0.9415
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9 of 11 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9431
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Mean accuracy: 0.9413363636363635 +- 0.0011411897517883628
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Files already downloaded and verified
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Preprocessing: 1.37 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1953
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2 194 16.77 0.7587
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3 291 25.15 0.8765
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4 388 33.53 0.8995
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5 485 41.92 0.9116
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6 582 50.30 0.9224
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7 679 58.68 0.9285
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8 776 67.07 0.9360
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9 873 75.45 0.9393
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10 970 83.83 0.9423
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10 of 12 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9431
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Mean accuracy: 0.9414166666666666 +- 0.001124598693855825
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Files already downloaded and verified
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Preprocessing: 1.34 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.2340
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2 194 16.77 0.7671
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3 291 25.15 0.8800
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4 388 33.53 0.9000
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5 485 41.92 0.9147
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6 582 50.30 0.9215
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7 679 58.68 0.9283
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8 776 67.07 0.9351
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9 873 75.45 0.9377
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10 970 83.83 0.9394
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10 of 13 runs >= 94.0 % accuracy
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Min accuracy: 0.9390000000000001
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Max accuracy: 0.9431
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Mean accuracy: 0.9412615384615385 +- 0.0012067365154628795
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Files already downloaded and verified
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Preprocessing: 1.34 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1725
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2 194 16.77 0.7548
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3 291 25.15 0.8766
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4 388 33.54 0.8988
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5 485 41.92 0.9115
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6 582 50.30 0.9207
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7 679 58.69 0.9280
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8 776 67.07 0.9321
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9 873 75.45 0.9359
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10 970 83.84 0.9384
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10 of 14 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9431
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Mean accuracy: 0.9410571428571428 +- 0.001376701173984028
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Files already downloaded and verified
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Preprocessing: 1.31 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1930
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2 194 16.77 0.7692
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3 291 25.15 0.8733
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4 388 33.53 0.8985
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5 485 41.92 0.9106
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6 582 50.30 0.9204
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7 679 58.68 0.9281
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8 776 67.07 0.9334
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9 873 75.45 0.9397
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10 970 83.83 0.9415
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11 of 15 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9431
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Mean accuracy: 0.9410866666666666 +- 0.001334599398904246
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Files already downloaded and verified
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Preprocessing: 1.35 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1923
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2 194 16.77 0.7746
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3 291 25.15 0.8775
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4 388 33.53 0.8989
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5 485 41.91 0.9139
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6 582 50.30 0.9206
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7 679 58.68 0.9284
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8 776 67.06 0.9357
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9 873 75.45 0.9407
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10 970 83.83 0.9434
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12 of 16 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.94123125 +- 0.0014083317924054731
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Files already downloaded and verified
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Preprocessing: 1.33 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1765
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2 194 16.77 0.7611
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3 291 25.15 0.8765
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4 388 33.53 0.9004
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5 485 41.92 0.9116
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6 582 50.30 0.9210
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7 679 58.68 0.9281
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8 776 67.06 0.9363
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9 873 75.45 0.9402
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10 970 83.83 0.9421
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13 of 17 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.9412823529411765 +- 0.0013814890917870676
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Files already downloaded and verified
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Preprocessing: 1.33 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.2296
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2 194 16.77 0.7657
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3 291 25.15 0.8742
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4 388 33.53 0.8968
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5 485 41.91 0.9109
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6 582 50.30 0.9209
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7 679 58.68 0.9290
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8 776 67.06 0.9347
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9 873 75.45 0.9396
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10 970 83.83 0.9422
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14 of 18 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.9413333333333332 +- 0.0013589211407093054
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Files already downloaded and verified
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Preprocessing: 1.32 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1566
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2 194 16.77 0.7418
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3 291 25.15 0.8733
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4 388 33.53 0.8958
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5 485 41.91 0.9107
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6 582 50.30 0.9218
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7 679 58.68 0.9291
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8 776 67.06 0.9347
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9 873 75.44 0.9391
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10 970 83.83 0.9427
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15 of 19 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.9414052631578946 +- 0.0013574254595064747
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Files already downloaded and verified
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Preprocessing: 1.32 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1636
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2 194 16.77 0.7496
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3 291 25.15 0.8732
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4 388 33.53 0.9000
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5 485 41.92 0.9122
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6 582 50.30 0.9200
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7 679 58.68 0.9292
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8 776 67.06 0.9356
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9 873 75.45 0.9387
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10 970 83.83 0.9414
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16 of 20 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.9414049999999999 +- 0.0013230551764760303
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Files already downloaded and verified
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Preprocessing: 1.32 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.2156
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2 194 16.77 0.7821
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3 291 25.15 0.8759
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4 388 33.53 0.9004
|
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5 485 41.92 0.9127
|
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6 582 50.30 0.9224
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7 679 58.68 0.9300
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8 776 67.06 0.9357
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9 873 75.45 0.9384
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10 970 83.83 0.9414
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17 of 21 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.941404761904762 +- 0.0012911700822919939
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Files already downloaded and verified
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Preprocessing: 1.31 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.2418
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2 194 16.77 0.7750
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3 291 25.15 0.8798
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4 388 33.53 0.8963
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5 485 41.91 0.9123
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6 582 50.30 0.9205
|
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7 679 58.68 0.9271
|
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8 776 67.06 0.9340
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9 873 75.44 0.9384
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10 970 83.83 0.9413
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18 of 22 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.9413999999999999 +- 0.001261672771291431
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Files already downloaded and verified
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Preprocessing: 1.32 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1365
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2 194 16.77 0.7367
|
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3 291 25.15 0.8721
|
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4 388 33.53 0.8988
|
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5 485 41.92 0.9093
|
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6 582 50.30 0.9197
|
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7 679 58.68 0.9288
|
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8 776 67.07 0.9345
|
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9 873 75.45 0.9382
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10 970 83.83 0.9412
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19 of 23 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.941391304347826 +- 0.0012346141954960033
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Files already downloaded and verified
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Preprocessing: 1.31 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1828
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2 194 16.77 0.7584
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3 291 25.15 0.8750
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4 388 33.53 0.9013
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5 485 41.91 0.9130
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6 582 50.30 0.9209
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7 679 58.68 0.9261
|
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8 776 67.06 0.9321
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9 873 75.44 0.9379
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10 970 83.83 0.9391
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19 of 24 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
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Max accuracy: 0.9434
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Mean accuracy: 0.9412958333333332 +- 0.0012924392850558086
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Files already downloaded and verified
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Preprocessing: 1.32 seconds
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epoch batch train time [sec] validation accuracy
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1 97 8.38 0.1716
|
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2 194 16.77 0.7875
|
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3 291 25.15 0.8739
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4 388 33.53 0.9006
|
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5 485 41.91 0.9120
|
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6 582 50.29 0.9227
|
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7 679 58.67 0.9296
|
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8 776 67.05 0.9349
|
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9 873 75.43 0.9381
|
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10 970 83.82 0.9405
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20 of 25 runs >= 94.0 % accuracy
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Min accuracy: 0.9384
|
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Max accuracy: 0.9434
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Mean accuracy: 0.9412639999999999 +- 0.0012758934124761424
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Files already downloaded and verified
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Preprocessing: 1.32 seconds
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epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1719
|
|
2 194 16.77 0.7652
|
|
3 291 25.15 0.8793
|
|
4 388 33.53 0.9002
|
|
5 485 41.91 0.9111
|
|
6 582 50.29 0.9204
|
|
7 679 58.67 0.9279
|
|
8 776 67.06 0.9337
|
|
9 873 75.44 0.9392
|
|
10 970 83.82 0.9402
|
|
|
|
21 of 26 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412230769230768 +- 0.0012677380499589118
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2125
|
|
2 194 16.77 0.7705
|
|
3 291 25.15 0.8770
|
|
4 388 33.53 0.8998
|
|
5 485 41.91 0.9107
|
|
6 582 50.29 0.9200
|
|
7 679 58.67 0.9286
|
|
8 776 67.05 0.9344
|
|
9 873 75.44 0.9378
|
|
10 970 83.82 0.9405
|
|
|
|
22 of 27 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9411962962962962 +- 0.0012515121169510055
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1776
|
|
2 194 16.76 0.7447
|
|
3 291 25.15 0.8718
|
|
4 388 33.53 0.9007
|
|
5 485 41.91 0.9143
|
|
6 582 50.29 0.9199
|
|
7 679 58.67 0.9270
|
|
8 776 67.05 0.9338
|
|
9 873 75.44 0.9374
|
|
10 970 83.82 0.9419
|
|
|
|
23 of 28 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412214285714285 +- 0.0012358794274457724
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.41 0.1977
|
|
2 194 16.79 0.7662
|
|
3 291 25.17 0.8749
|
|
4 388 33.55 0.8978
|
|
5 485 41.93 0.9119
|
|
6 582 50.31 0.9204
|
|
7 679 58.70 0.9276
|
|
8 776 67.08 0.9352
|
|
9 873 75.46 0.9395
|
|
10 970 83.84 0.9411
|
|
|
|
24 of 29 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412172413793103 +- 0.0012145863395489032
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1735
|
|
2 194 16.77 0.7464
|
|
3 291 25.15 0.8715
|
|
4 388 33.53 0.9001
|
|
5 485 41.91 0.9103
|
|
6 582 50.29 0.9219
|
|
7 679 58.67 0.9297
|
|
8 776 67.05 0.9361
|
|
9 873 75.43 0.9395
|
|
10 970 83.82 0.9417
|
|
|
|
25 of 30 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412333333333333 +- 0.0011973118038153528
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1698
|
|
2 194 16.76 0.7590
|
|
3 291 25.15 0.8752
|
|
4 388 33.53 0.8999
|
|
5 485 41.91 0.9103
|
|
6 582 50.29 0.9205
|
|
7 679 58.67 0.9274
|
|
8 776 67.05 0.9346
|
|
9 873 75.43 0.9393
|
|
10 970 83.82 0.9412
|
|
|
|
26 of 31 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.941232258064516 +- 0.0011778567459788494
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2070
|
|
2 194 16.77 0.7572
|
|
3 291 25.15 0.8736
|
|
4 388 33.53 0.9013
|
|
5 485 41.91 0.9129
|
|
6 582 50.29 0.9218
|
|
7 679 58.67 0.9284
|
|
8 776 67.05 0.9349
|
|
9 873 75.44 0.9384
|
|
10 970 83.82 0.9410
|
|
|
|
27 of 32 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412249999999999 +- 0.001160010775812025
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2345
|
|
2 194 16.77 0.7870
|
|
3 291 25.15 0.8761
|
|
4 388 33.53 0.8994
|
|
5 485 41.91 0.9085
|
|
6 582 50.30 0.9184
|
|
7 679 58.68 0.9289
|
|
8 776 67.06 0.9320
|
|
9 873 75.44 0.9382
|
|
10 970 83.83 0.9410
|
|
|
|
28 of 33 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412181818181816 +- 0.0011429506061743373
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1765
|
|
2 194 16.77 0.7703
|
|
3 291 25.15 0.8779
|
|
4 388 33.53 0.8997
|
|
5 485 41.91 0.9122
|
|
6 582 50.30 0.9198
|
|
7 679 58.68 0.9267
|
|
8 776 67.06 0.9325
|
|
9 873 75.45 0.9367
|
|
10 970 83.83 0.9393
|
|
|
|
28 of 34 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9411617647058822 +- 0.0011717294171393138
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1325
|
|
2 194 16.77 0.7603
|
|
3 291 25.15 0.8734
|
|
4 388 33.53 0.8991
|
|
5 485 41.91 0.9128
|
|
6 582 50.30 0.9198
|
|
7 679 58.68 0.9281
|
|
8 776 67.06 0.9325
|
|
9 873 75.44 0.9382
|
|
10 970 83.83 0.9411
|
|
|
|
29 of 35 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9411599999999999 +- 0.0011549149628559616
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1759
|
|
2 194 16.77 0.7756
|
|
3 291 25.15 0.8741
|
|
4 388 33.53 0.8987
|
|
5 485 41.91 0.9117
|
|
6 582 50.30 0.9202
|
|
7 679 58.68 0.9284
|
|
8 776 67.06 0.9336
|
|
9 873 75.45 0.9397
|
|
10 970 83.83 0.9432
|
|
|
|
30 of 36 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412166666666665 +- 0.0011870832602082645
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1695
|
|
2 194 16.77 0.7587
|
|
3 291 25.15 0.8744
|
|
4 388 33.53 0.8971
|
|
5 485 41.91 0.9111
|
|
6 582 50.29 0.9196
|
|
7 679 58.68 0.9278
|
|
8 776 67.06 0.9343
|
|
9 873 75.44 0.9392
|
|
10 970 83.83 0.9417
|
|
|
|
31 of 37 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9384
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9412297297297295 +- 0.0011735519806460731
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1254
|
|
2 194 16.77 0.7464
|
|
3 291 25.15 0.8760
|
|
4 388 33.53 0.8988
|
|
5 485 41.91 0.9139
|
|
6 582 50.30 0.9204
|
|
7 679 58.68 0.9270
|
|
8 776 67.06 0.9327
|
|
9 873 75.44 0.9358
|
|
10 970 83.83 0.9366
|
|
|
|
31 of 38 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9411078947368419 +- 0.0013748457480841016
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1924
|
|
2 194 16.77 0.7740
|
|
3 291 25.15 0.8756
|
|
4 388 33.53 0.8989
|
|
5 485 41.92 0.9107
|
|
6 582 50.30 0.9201
|
|
7 679 58.68 0.9288
|
|
8 776 67.06 0.9338
|
|
9 873 75.45 0.9387
|
|
10 970 83.83 0.9420
|
|
|
|
32 of 39 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.941130769230769 +- 0.0013644109927005042
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2172
|
|
2 194 16.77 0.7571
|
|
3 291 25.15 0.8762
|
|
4 388 33.53 0.8985
|
|
5 485 41.92 0.9115
|
|
6 582 50.30 0.9201
|
|
7 679 58.68 0.9283
|
|
8 776 67.06 0.9348
|
|
9 873 75.44 0.9379
|
|
10 970 83.83 0.9404
|
|
|
|
33 of 40 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9411124999999997 +- 0.0013520701719955232
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1521
|
|
2 194 16.77 0.7526
|
|
3 291 25.15 0.8716
|
|
4 388 33.53 0.8968
|
|
5 485 41.91 0.9122
|
|
6 582 50.30 0.9215
|
|
7 679 58.68 0.9288
|
|
8 776 67.06 0.9325
|
|
9 873 75.44 0.9363
|
|
10 970 83.83 0.9385
|
|
|
|
33 of 41 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9410487804878045 +- 0.0013949599087200878
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1304
|
|
2 194 16.77 0.7688
|
|
3 291 25.15 0.8754
|
|
4 388 33.53 0.8967
|
|
5 485 41.91 0.9119
|
|
6 582 50.29 0.9200
|
|
7 679 58.68 0.9259
|
|
8 776 67.06 0.9322
|
|
9 873 75.44 0.9380
|
|
10 970 83.82 0.9414
|
|
|
|
34 of 42 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9410571428571425 +- 0.0013792929274058666
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1666
|
|
2 194 16.77 0.7524
|
|
3 291 25.15 0.8704
|
|
4 388 33.53 0.8974
|
|
5 485 41.91 0.9109
|
|
6 582 50.30 0.9216
|
|
7 679 58.68 0.9293
|
|
8 776 67.06 0.9339
|
|
9 873 75.44 0.9377
|
|
10 970 83.83 0.9401
|
|
|
|
35 of 43 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9410348837209299 +- 0.001370771930028334
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1364
|
|
2 194 16.77 0.7617
|
|
3 291 25.15 0.8733
|
|
4 388 33.53 0.8999
|
|
5 485 41.91 0.9102
|
|
6 582 50.30 0.9209
|
|
7 679 58.68 0.9266
|
|
8 776 67.06 0.9318
|
|
9 873 75.44 0.9358
|
|
10 970 83.83 0.9383
|
|
|
|
35 of 44 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.940972727272727 +- 0.0014150752688563725
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1609
|
|
2 194 16.77 0.7789
|
|
3 291 25.15 0.8798
|
|
4 388 33.53 0.8992
|
|
5 485 41.91 0.9109
|
|
6 582 50.29 0.9206
|
|
7 679 58.67 0.9276
|
|
8 776 67.06 0.9332
|
|
9 873 75.44 0.9374
|
|
10 970 83.82 0.9400
|
|
|
|
36 of 45 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409511111111107 +- 0.001406591186319645
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1521
|
|
2 194 16.77 0.7581
|
|
3 291 25.15 0.8720
|
|
4 388 33.53 0.8964
|
|
5 485 41.91 0.9126
|
|
6 582 50.29 0.9198
|
|
7 679 58.67 0.9292
|
|
8 776 67.06 0.9351
|
|
9 873 75.44 0.9380
|
|
10 970 83.82 0.9406
|
|
|
|
37 of 46 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409434782608692 +- 0.0013921600629352097
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1743
|
|
2 194 16.77 0.7826
|
|
3 291 25.15 0.8786
|
|
4 388 33.53 0.9006
|
|
5 485 41.91 0.9125
|
|
6 582 50.29 0.9208
|
|
7 679 58.67 0.9284
|
|
8 776 67.06 0.9344
|
|
9 873 75.44 0.9386
|
|
10 970 83.82 0.9402
|
|
|
|
38 of 47 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409276595744678 +- 0.0013814426821661717
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1795
|
|
2 194 16.77 0.7730
|
|
3 291 25.15 0.8805
|
|
4 388 33.53 0.9000
|
|
5 485 41.91 0.9122
|
|
6 582 50.29 0.9224
|
|
7 679 58.67 0.9272
|
|
8 776 67.06 0.9333
|
|
9 873 75.44 0.9360
|
|
10 970 83.82 0.9380
|
|
|
|
38 of 48 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408666666666664 +- 0.0014295006898292243
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1302
|
|
2 194 16.77 0.7725
|
|
3 291 25.15 0.8744
|
|
4 388 33.53 0.9009
|
|
5 485 41.91 0.9104
|
|
6 582 50.30 0.9218
|
|
7 679 58.68 0.9285
|
|
8 776 67.06 0.9344
|
|
9 873 75.44 0.9383
|
|
10 970 83.83 0.9403
|
|
|
|
39 of 49 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.940855102040816 +- 0.0014171055905943639
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2323
|
|
2 194 16.77 0.7674
|
|
3 291 25.15 0.8729
|
|
4 388 33.53 0.8974
|
|
5 485 41.91 0.9120
|
|
6 582 50.29 0.9206
|
|
7 679 58.67 0.9291
|
|
8 776 67.06 0.9330
|
|
9 873 75.44 0.9385
|
|
10 970 83.82 0.9413
|
|
|
|
40 of 50 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408639999999997 +- 0.001404244992869836
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2032
|
|
2 194 16.77 0.7778
|
|
3 291 25.15 0.8746
|
|
4 388 33.53 0.9015
|
|
5 485 41.91 0.9117
|
|
6 582 50.29 0.9218
|
|
7 679 58.67 0.9295
|
|
8 776 67.06 0.9343
|
|
9 873 75.44 0.9384
|
|
10 970 83.82 0.9411
|
|
|
|
41 of 51 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408686274509801 +- 0.00139079469398437
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2075
|
|
2 194 16.77 0.7787
|
|
3 291 25.15 0.8763
|
|
4 388 33.53 0.8991
|
|
5 485 41.91 0.9118
|
|
6 582 50.29 0.9220
|
|
7 679 58.67 0.9287
|
|
8 776 67.06 0.9336
|
|
9 873 75.44 0.9393
|
|
10 970 83.82 0.9416
|
|
|
|
42 of 52 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408826923076921 +- 0.0013810142808048684
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1834
|
|
2 194 16.77 0.7662
|
|
3 291 25.15 0.8784
|
|
4 388 33.53 0.8978
|
|
5 485 41.91 0.9120
|
|
6 582 50.29 0.9216
|
|
7 679 58.67 0.9273
|
|
8 776 67.06 0.9351
|
|
9 873 75.44 0.9386
|
|
10 970 83.82 0.9418
|
|
|
|
43 of 53 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408999999999997 +- 0.0013736056394868924
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1876
|
|
2 194 16.77 0.7738
|
|
3 291 25.15 0.8746
|
|
4 388 33.53 0.9011
|
|
5 485 41.91 0.9116
|
|
6 582 50.29 0.9196
|
|
7 679 58.67 0.9277
|
|
8 776 67.06 0.9349
|
|
9 873 75.44 0.9384
|
|
10 970 83.82 0.9415
|
|
|
|
44 of 54 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409111111111108 +- 0.0013632296437975523
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1535
|
|
2 194 16.77 0.7717
|
|
3 291 25.15 0.8765
|
|
4 388 33.53 0.9010
|
|
5 485 41.91 0.9125
|
|
6 582 50.30 0.9234
|
|
7 679 58.68 0.9277
|
|
8 776 67.06 0.9347
|
|
9 873 75.44 0.9389
|
|
10 970 83.82 0.9417
|
|
|
|
45 of 55 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409254545454542 +- 0.0013548858632664769
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1505
|
|
2 194 16.77 0.7702
|
|
3 291 25.15 0.8777
|
|
4 388 33.53 0.8981
|
|
5 485 41.91 0.9105
|
|
6 582 50.30 0.9200
|
|
7 679 58.68 0.9284
|
|
8 776 67.06 0.9354
|
|
9 873 75.44 0.9385
|
|
10 970 83.82 0.9403
|
|
|
|
46 of 56 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409142857142854 +- 0.0013452865562278372
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1656
|
|
2 194 16.77 0.7657
|
|
3 291 25.15 0.8764
|
|
4 388 33.53 0.9018
|
|
5 485 41.91 0.9114
|
|
6 582 50.29 0.9185
|
|
7 679 58.68 0.9267
|
|
8 776 67.06 0.9340
|
|
9 873 75.44 0.9377
|
|
10 970 83.82 0.9411
|
|
|
|
47 of 57 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409175438596488 +- 0.0013336564705386735
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1637
|
|
2 194 16.77 0.7757
|
|
3 291 25.15 0.8769
|
|
4 388 33.53 0.9035
|
|
5 485 41.91 0.9120
|
|
6 582 50.30 0.9191
|
|
7 679 58.68 0.9278
|
|
8 776 67.06 0.9334
|
|
9 873 75.44 0.9367
|
|
10 970 83.83 0.9422
|
|
|
|
48 of 58 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409396551724134 +- 0.001332606941451337
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2329
|
|
2 194 16.77 0.7731
|
|
3 291 25.15 0.8785
|
|
4 388 33.53 0.8970
|
|
5 485 41.91 0.9107
|
|
6 582 50.30 0.9187
|
|
7 679 58.68 0.9280
|
|
8 776 67.06 0.9348
|
|
9 873 75.44 0.9403
|
|
10 970 83.83 0.9429
|
|
|
|
49 of 59 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409728813559318 +- 0.0013452780581427036
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2039
|
|
2 194 16.77 0.7801
|
|
3 291 25.15 0.8770
|
|
4 388 33.53 0.8986
|
|
5 485 41.91 0.9103
|
|
6 582 50.29 0.9190
|
|
7 679 58.68 0.9253
|
|
8 776 67.06 0.9344
|
|
9 873 75.44 0.9371
|
|
10 970 83.82 0.9402
|
|
|
|
50 of 60 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409599999999997 +- 0.0013376845667047253
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2142
|
|
2 194 16.77 0.7742
|
|
3 291 25.15 0.8754
|
|
4 388 33.53 0.8977
|
|
5 485 41.91 0.9109
|
|
6 582 50.30 0.9202
|
|
7 679 58.68 0.9287
|
|
8 776 67.06 0.9338
|
|
9 873 75.44 0.9381
|
|
10 970 83.82 0.9401
|
|
|
|
51 of 61 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409459016393439 +- 0.0013311616731867151
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1682
|
|
2 194 16.77 0.7908
|
|
3 291 25.15 0.8779
|
|
4 388 33.53 0.8970
|
|
5 485 41.91 0.9098
|
|
6 582 50.30 0.9193
|
|
7 679 58.68 0.9262
|
|
8 776 67.06 0.9332
|
|
9 873 75.44 0.9382
|
|
10 970 83.83 0.9405
|
|
|
|
52 of 62 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.940938709677419 +- 0.0013215771173121645
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2225
|
|
2 194 16.77 0.7677
|
|
3 291 25.15 0.8717
|
|
4 388 33.53 0.8947
|
|
5 485 41.91 0.9096
|
|
6 582 50.29 0.9196
|
|
7 679 58.68 0.9278
|
|
8 776 67.06 0.9315
|
|
9 873 75.44 0.9352
|
|
10 970 83.82 0.9388
|
|
|
|
52 of 63 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409047619047616 +- 0.0013380189776608198
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1942
|
|
2 194 16.77 0.7633
|
|
3 291 25.15 0.8802
|
|
4 388 33.53 0.9019
|
|
5 485 41.91 0.9142
|
|
6 582 50.29 0.9212
|
|
7 679 58.68 0.9282
|
|
8 776 67.06 0.9341
|
|
9 873 75.44 0.9392
|
|
10 970 83.82 0.9405
|
|
|
|
53 of 64 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408984374999997 +- 0.0013284732999175243
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1798
|
|
2 194 16.77 0.7404
|
|
3 291 25.15 0.8756
|
|
4 388 33.53 0.8997
|
|
5 485 41.91 0.9122
|
|
6 582 50.29 0.9220
|
|
7 679 58.68 0.9274
|
|
8 776 67.06 0.9345
|
|
9 873 75.44 0.9383
|
|
10 970 83.83 0.9398
|
|
|
|
53 of 65 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408815384615381 +- 0.001325128998967772
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1694
|
|
2 194 16.77 0.7854
|
|
3 291 25.15 0.8782
|
|
4 388 33.53 0.8982
|
|
5 485 41.91 0.9113
|
|
6 582 50.29 0.9212
|
|
7 679 58.67 0.9261
|
|
8 776 67.06 0.9350
|
|
9 873 75.44 0.9390
|
|
10 970 83.82 0.9389
|
|
|
|
53 of 66 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408515151515148 +- 0.0013371433168402089
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1861
|
|
2 194 16.77 0.7683
|
|
3 291 25.15 0.8805
|
|
4 388 33.53 0.9002
|
|
5 485 41.91 0.9124
|
|
6 582 50.29 0.9206
|
|
7 679 58.68 0.9284
|
|
8 776 67.06 0.9336
|
|
9 873 75.44 0.9393
|
|
10 970 83.82 0.9418
|
|
|
|
54 of 67 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408656716417907 +- 0.0013321010493253605
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1867
|
|
2 194 16.77 0.7632
|
|
3 291 25.15 0.8763
|
|
4 388 33.53 0.8988
|
|
5 485 41.91 0.9131
|
|
6 582 50.29 0.9209
|
|
7 679 58.67 0.9279
|
|
8 776 67.06 0.9331
|
|
9 873 75.44 0.9381
|
|
10 970 83.82 0.9404
|
|
|
|
55 of 68 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408588235294113 +- 0.0013234575143870496
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1635
|
|
2 194 16.77 0.7892
|
|
3 291 25.15 0.8791
|
|
4 388 33.53 0.8993
|
|
5 485 41.91 0.9117
|
|
6 582 50.29 0.9209
|
|
7 679 58.68 0.9276
|
|
8 776 67.06 0.9363
|
|
9 873 75.44 0.9387
|
|
10 970 83.82 0.9427
|
|
|
|
56 of 69 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408855072463763 +- 0.0013321308377138024
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1834
|
|
2 194 16.77 0.7837
|
|
3 291 25.15 0.8775
|
|
4 388 33.53 0.8984
|
|
5 485 41.91 0.9134
|
|
6 582 50.29 0.9219
|
|
7 679 58.67 0.9288
|
|
8 776 67.06 0.9330
|
|
9 873 75.44 0.9364
|
|
10 970 83.82 0.9389
|
|
|
|
56 of 70 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408571428571424 +- 0.0013434041439111153
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1898
|
|
2 194 16.77 0.7501
|
|
3 291 25.15 0.8768
|
|
4 388 33.53 0.9008
|
|
5 485 41.91 0.9119
|
|
6 582 50.29 0.9205
|
|
7 679 58.68 0.9258
|
|
8 776 67.06 0.9325
|
|
9 873 75.44 0.9382
|
|
10 970 83.82 0.9402
|
|
|
|
57 of 71 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408478873239433 +- 0.0013361558434585158
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2717
|
|
2 194 16.77 0.7899
|
|
3 291 25.15 0.8754
|
|
4 388 33.53 0.8981
|
|
5 485 41.91 0.9138
|
|
6 582 50.30 0.9220
|
|
7 679 58.68 0.9278
|
|
8 776 67.06 0.9339
|
|
9 873 75.44 0.9384
|
|
10 970 83.82 0.9414
|
|
|
|
58 of 72 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408555555555552 +- 0.0013284168615403436
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2068
|
|
2 194 16.77 0.7802
|
|
3 291 25.15 0.8781
|
|
4 388 33.53 0.8996
|
|
5 485 41.91 0.9140
|
|
6 582 50.30 0.9216
|
|
7 679 58.68 0.9280
|
|
8 776 67.06 0.9335
|
|
9 873 75.44 0.9387
|
|
10 970 83.83 0.9428
|
|
|
|
59 of 73 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408821917808217 +- 0.0013385068828918626
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1775
|
|
2 194 16.77 0.7809
|
|
3 291 25.15 0.8761
|
|
4 388 33.53 0.8968
|
|
5 485 41.91 0.9111
|
|
6 582 50.29 0.9209
|
|
7 679 58.67 0.9280
|
|
8 776 67.06 0.9331
|
|
9 873 75.44 0.9385
|
|
10 970 83.82 0.9424
|
|
|
|
60 of 74 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9409027027027026 +- 0.0013409328109589289
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1966
|
|
2 194 16.77 0.7746
|
|
3 291 25.15 0.8780
|
|
4 388 33.53 0.8998
|
|
5 485 41.91 0.9114
|
|
6 582 50.30 0.9220
|
|
7 679 58.68 0.9281
|
|
8 776 67.06 0.9344
|
|
9 873 75.44 0.9375
|
|
10 970 83.83 0.9400
|
|
|
|
61 of 75 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408906666666664 +- 0.0013359813704622633
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1727
|
|
2 194 16.77 0.7745
|
|
3 291 25.15 0.8747
|
|
4 388 33.53 0.9003
|
|
5 485 41.91 0.9128
|
|
6 582 50.29 0.9226
|
|
7 679 58.67 0.9278
|
|
8 776 67.06 0.9336
|
|
9 873 75.44 0.9369
|
|
10 970 83.82 0.9407
|
|
|
|
62 of 76 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9434
|
|
Mean accuracy: 0.9408881578947368 +- 0.0013273407432733571
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1865
|
|
2 194 16.77 0.7655
|
|
3 291 25.15 0.8717
|
|
4 388 33.53 0.8978
|
|
5 485 41.91 0.9140
|
|
6 582 50.30 0.9232
|
|
7 679 58.68 0.9304
|
|
8 776 67.06 0.9364
|
|
9 873 75.44 0.9405
|
|
10 970 83.82 0.9435
|
|
|
|
63 of 77 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9409220779220778 +- 0.001351442075059024
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2233
|
|
2 194 16.77 0.7653
|
|
3 291 25.15 0.8776
|
|
4 388 33.53 0.9003
|
|
5 485 41.91 0.9148
|
|
6 582 50.30 0.9229
|
|
7 679 58.68 0.9290
|
|
8 776 67.06 0.9338
|
|
9 873 75.44 0.9377
|
|
10 970 83.82 0.9398
|
|
|
|
63 of 78 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9409076923076923 +- 0.0013486716380856857
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1690
|
|
2 194 16.77 0.7789
|
|
3 291 25.15 0.8756
|
|
4 388 33.53 0.8999
|
|
5 485 41.91 0.9114
|
|
6 582 50.30 0.9200
|
|
7 679 58.68 0.9282
|
|
8 776 67.06 0.9351
|
|
9 873 75.44 0.9386
|
|
10 970 83.82 0.9411
|
|
|
|
64 of 79 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9409101265822786 +- 0.0013402809961101032
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1467
|
|
2 194 16.77 0.7810
|
|
3 291 25.15 0.8784
|
|
4 388 33.53 0.8990
|
|
5 485 41.91 0.9114
|
|
6 582 50.30 0.9204
|
|
7 679 58.68 0.9272
|
|
8 776 67.06 0.9346
|
|
9 873 75.44 0.9383
|
|
10 970 83.83 0.9406
|
|
|
|
65 of 80 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.94090625 +- 0.0013323235108261063
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1904
|
|
2 194 16.77 0.7659
|
|
3 291 25.15 0.8766
|
|
4 388 33.53 0.9017
|
|
5 485 41.91 0.9155
|
|
6 582 50.29 0.9233
|
|
7 679 58.68 0.9298
|
|
8 776 67.06 0.9355
|
|
9 873 75.44 0.9393
|
|
10 970 83.83 0.9418
|
|
|
|
66 of 81 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9409172839506174 +- 0.0013277466405885844
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2094
|
|
2 194 16.77 0.7563
|
|
3 291 25.15 0.8759
|
|
4 388 33.53 0.8991
|
|
5 485 41.91 0.9136
|
|
6 582 50.29 0.9182
|
|
7 679 58.67 0.9278
|
|
8 776 67.06 0.9332
|
|
9 873 75.44 0.9372
|
|
10 970 83.82 0.9405
|
|
|
|
67 of 82 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9409121951219513 +- 0.0013204203177723237
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1654
|
|
2 194 16.77 0.7718
|
|
3 291 25.15 0.8765
|
|
4 388 33.53 0.8998
|
|
5 485 41.91 0.9105
|
|
6 582 50.29 0.9196
|
|
7 679 58.68 0.9261
|
|
8 776 67.06 0.9321
|
|
9 873 75.44 0.9361
|
|
10 970 83.83 0.9378
|
|
|
|
67 of 83 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9408746987951808 +- 0.0013556524569278267
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1831
|
|
2 194 16.77 0.7600
|
|
3 291 25.15 0.8758
|
|
4 388 33.53 0.9003
|
|
5 485 41.91 0.9126
|
|
6 582 50.30 0.9209
|
|
7 679 58.68 0.9286
|
|
8 776 67.06 0.9345
|
|
9 873 75.44 0.9400
|
|
10 970 83.83 0.9416
|
|
|
|
68 of 84 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9435
|
|
Mean accuracy: 0.9408833333333333 +- 0.0013498530196296094
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1735
|
|
2 194 16.77 0.7721
|
|
3 291 25.15 0.8775
|
|
4 388 33.53 0.9012
|
|
5 485 41.91 0.9110
|
|
6 582 50.30 0.9210
|
|
7 679 58.68 0.9287
|
|
8 776 67.06 0.9360
|
|
9 873 75.44 0.9410
|
|
10 970 83.82 0.9436
|
|
|
|
69 of 85 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409152941176471 +- 0.0013734889778656161
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2085
|
|
2 194 16.77 0.7808
|
|
3 291 25.15 0.8788
|
|
4 388 33.53 0.9009
|
|
5 485 41.91 0.9117
|
|
6 582 50.29 0.9229
|
|
7 679 58.68 0.9280
|
|
8 776 67.06 0.9341
|
|
9 873 75.44 0.9383
|
|
10 970 83.82 0.9418
|
|
|
|
70 of 86 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409255813953489 +- 0.001368770119020587
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2021
|
|
2 194 16.77 0.7647
|
|
3 291 25.15 0.8786
|
|
4 388 33.53 0.8994
|
|
5 485 41.91 0.9118
|
|
6 582 50.29 0.9191
|
|
7 679 58.68 0.9276
|
|
8 776 67.06 0.9348
|
|
9 873 75.44 0.9390
|
|
10 970 83.82 0.9415
|
|
|
|
71 of 87 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409321839080461 +- 0.0013622576133970725
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1871
|
|
2 194 16.77 0.7743
|
|
3 291 25.15 0.8779
|
|
4 388 33.53 0.9008
|
|
5 485 41.91 0.9143
|
|
6 582 50.29 0.9210
|
|
7 679 58.68 0.9317
|
|
8 776 67.06 0.9375
|
|
9 873 75.44 0.9412
|
|
10 970 83.82 0.9422
|
|
|
|
72 of 88 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409465909090909 +- 0.0013611449778867949
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1602
|
|
2 194 16.77 0.7761
|
|
3 291 25.15 0.8784
|
|
4 388 33.53 0.8988
|
|
5 485 41.91 0.9115
|
|
6 582 50.29 0.9213
|
|
7 679 58.67 0.9277
|
|
8 776 67.06 0.9336
|
|
9 873 75.44 0.9376
|
|
10 970 83.82 0.9413
|
|
|
|
73 of 89 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409505617977528 +- 0.001353988995980844
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1528
|
|
2 194 16.77 0.7758
|
|
3 291 25.15 0.8769
|
|
4 388 33.53 0.9015
|
|
5 485 41.91 0.9150
|
|
6 582 50.30 0.9225
|
|
7 679 58.68 0.9279
|
|
8 776 67.06 0.9353
|
|
9 873 75.45 0.9391
|
|
10 970 83.83 0.9410
|
|
|
|
74 of 90 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409511111111112 +- 0.0013464557957380333
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1469
|
|
2 194 16.77 0.7698
|
|
3 291 25.15 0.8761
|
|
4 388 33.53 0.8977
|
|
5 485 41.91 0.9116
|
|
6 582 50.30 0.9201
|
|
7 679 58.68 0.9282
|
|
8 776 67.06 0.9343
|
|
9 873 75.45 0.9381
|
|
10 970 83.83 0.9412
|
|
|
|
75 of 91 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409538461538461 +- 0.0013392886165085479
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1856
|
|
2 194 16.77 0.7583
|
|
3 291 25.15 0.8759
|
|
4 388 33.53 0.9009
|
|
5 485 41.91 0.9100
|
|
6 582 50.29 0.9209
|
|
7 679 58.67 0.9257
|
|
8 776 67.06 0.9337
|
|
9 873 75.44 0.9380
|
|
10 970 83.82 0.9426
|
|
|
|
76 of 92 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409717391304347 +- 0.001342881885362232
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1997
|
|
2 194 16.77 0.7691
|
|
3 291 25.15 0.8740
|
|
4 388 33.53 0.8997
|
|
5 485 41.91 0.9119
|
|
6 582 50.29 0.9213
|
|
7 679 58.68 0.9298
|
|
8 776 67.06 0.9357
|
|
9 873 75.44 0.9395
|
|
10 970 83.82 0.9419
|
|
|
|
77 of 93 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409817204301076 +- 0.0013390693475468685
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1701
|
|
2 194 16.77 0.7776
|
|
3 291 25.15 0.8770
|
|
4 388 33.53 0.9011
|
|
5 485 41.91 0.9122
|
|
6 582 50.29 0.9210
|
|
7 679 58.67 0.9281
|
|
8 776 67.06 0.9331
|
|
9 873 75.44 0.9377
|
|
10 970 83.82 0.9402
|
|
|
|
78 of 94 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9436
|
|
Mean accuracy: 0.9409734042553193 +- 0.001334339866424902
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2069
|
|
2 194 16.77 0.7783
|
|
3 291 25.15 0.8775
|
|
4 388 33.53 0.9025
|
|
5 485 41.91 0.9138
|
|
6 582 50.30 0.9222
|
|
7 679 58.68 0.9309
|
|
8 776 67.06 0.9368
|
|
9 873 75.44 0.9413
|
|
10 970 83.83 0.9444
|
|
|
|
79 of 95 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9444
|
|
Mean accuracy: 0.9410094736842106 +- 0.001372594445736019
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.31 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1579
|
|
2 194 16.77 0.7725
|
|
3 291 25.15 0.8786
|
|
4 388 33.53 0.8998
|
|
5 485 41.91 0.9115
|
|
6 582 50.29 0.9201
|
|
7 679 58.68 0.9275
|
|
8 776 67.06 0.9333
|
|
9 873 75.44 0.9366
|
|
10 970 83.83 0.9401
|
|
|
|
80 of 96 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9444
|
|
Mean accuracy: 0.9410000000000002 +- 0.001368545456558408
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.2063
|
|
2 194 16.77 0.7808
|
|
3 291 25.15 0.8783
|
|
4 388 33.53 0.8991
|
|
5 485 41.91 0.9125
|
|
6 582 50.30 0.9227
|
|
7 679 58.68 0.9253
|
|
8 776 67.06 0.9315
|
|
9 873 75.44 0.9353
|
|
10 970 83.83 0.9386
|
|
|
|
80 of 97 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9444
|
|
Mean accuracy: 0.9409752577319588 +- 0.001382887381855016
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1519
|
|
2 194 16.77 0.7667
|
|
3 291 25.15 0.8728
|
|
4 388 33.53 0.9021
|
|
5 485 41.91 0.9114
|
|
6 582 50.30 0.9203
|
|
7 679 58.68 0.9277
|
|
8 776 67.06 0.9333
|
|
9 873 75.44 0.9405
|
|
10 970 83.83 0.9427
|
|
|
|
81 of 98 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9444
|
|
Mean accuracy: 0.9409928571428572 +- 0.0013866896420126984
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.32 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1389
|
|
2 194 16.77 0.7433
|
|
3 291 25.15 0.8699
|
|
4 388 33.53 0.8942
|
|
5 485 41.91 0.9110
|
|
6 582 50.29 0.9202
|
|
7 679 58.68 0.9262
|
|
8 776 67.06 0.9320
|
|
9 873 75.44 0.9358
|
|
10 970 83.82 0.9402
|
|
|
|
82 of 99 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9444
|
|
Mean accuracy: 0.9409848484848486 +- 0.0013819444386763934
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.33 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 8.38 0.1503
|
|
2 194 16.77 0.7679
|
|
3 291 25.15 0.8743
|
|
4 388 33.53 0.8981
|
|
5 485 41.91 0.9114
|
|
6 582 50.30 0.9235
|
|
7 679 58.68 0.9301
|
|
8 776 67.06 0.9363
|
|
9 873 75.44 0.9392
|
|
10 970 83.83 0.9443
|
|
|
|
83 of 100 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9366000000000001
|
|
Max accuracy: 0.9444
|
|
Mean accuracy: 0.9410180000000001 +- 0.0014140282882601739
|
|
|