2006 lines
84 KiB
Text
2006 lines
84 KiB
Text
File : train.py f6582527f1a15333cfbdec0506623bdfbc7b219b9d739d381c6949426e24aa1c
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Model : model.py 0cf3352991a284cbf63f3f0e44c07fc3bffe61c9d720298ad8c18e57681b88c3
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PyTorch: 1.11.0+cu113
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Device : A100-SXM4-40GB
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Dtype : torch.float16
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Files already downloaded and verified
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Preprocessing: 6.35 seconds
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epoch batch train time [sec] validation accuracy
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1 97 2.61 0.2200
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2 194 4.04 0.7673
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3 291 5.47 0.8711
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4 388 6.90 0.8979
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5 485 8.34 0.9107
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6 582 9.77 0.9170
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7 679 11.20 0.9266
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8 776 12.63 0.9331
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9 873 14.06 0.9368
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10 970 15.49 0.9404
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1 of 1 runs >= 94.0 % accuracy
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Min accuracy: 0.9404
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Max accuracy: 0.9404
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Mean accuracy: 0.9404 +- 0.0
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Files already downloaded and verified
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Preprocessing: 1.18 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1750
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2 194 2.86 0.7731
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3 291 4.29 0.8747
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4 388 5.72 0.8983
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5 485 7.16 0.9131
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6 582 8.59 0.9201
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7 679 10.02 0.9289
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8 776 11.45 0.9351
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9 873 12.88 0.9390
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10 970 14.31 0.9399
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1 of 2 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9404
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Mean accuracy: 0.94015 +- 0.00024999999999997247
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1826
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2 194 2.86 0.7749
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3 291 4.29 0.8765
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4 388 5.73 0.8994
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5 485 7.16 0.9108
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6 582 8.59 0.9192
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7 679 10.02 0.9280
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8 776 11.45 0.9334
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9 873 12.88 0.9386
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10 970 14.31 0.9417
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2 of 3 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9406666666666667 +- 0.0007586537784494201
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1823
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2 194 2.86 0.7603
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3 291 4.29 0.8788
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4 388 5.73 0.8995
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5 485 7.16 0.9131
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6 582 8.59 0.9219
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7 679 10.02 0.9288
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8 776 11.45 0.9332
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9 873 12.88 0.9373
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10 970 14.32 0.9417
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3 of 4 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.940925 +- 0.000794905654779253
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1855
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2 194 2.86 0.7723
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3 291 4.29 0.8809
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4 388 5.73 0.8989
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5 485 7.16 0.9124
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6 582 8.59 0.9221
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7 679 10.02 0.9278
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8 776 11.45 0.9340
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9 873 12.88 0.9373
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10 970 14.32 0.9406
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4 of 5 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.94086 +- 0.0007227724399837298
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2350
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2 194 2.86 0.7790
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3 291 4.29 0.8760
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4 388 5.73 0.9009
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5 485 7.16 0.9133
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6 582 8.59 0.9229
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7 679 10.02 0.9301
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8 776 11.45 0.9367
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9 873 12.88 0.9399
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10 970 14.31 0.9415
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5 of 6 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9409666666666666 +- 0.000701585505994987
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1847
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2 194 2.86 0.7648
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3 291 4.29 0.8751
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4 388 5.73 0.8963
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5 485 7.16 0.9097
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6 582 8.59 0.9185
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7 679 10.02 0.9262
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8 776 11.45 0.9317
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9 873 12.88 0.9378
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10 970 14.32 0.9402
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6 of 7 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9408571428571427 +- 0.0007027642214999471
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1709
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2 194 2.86 0.7574
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3 291 4.29 0.8743
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4 388 5.73 0.9000
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5 485 7.16 0.9133
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6 582 8.59 0.9208
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7 679 10.02 0.9288
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8 776 11.45 0.9339
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9 873 12.88 0.9379
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10 970 14.32 0.9401
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7 of 8 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9407625 +- 0.0007034513131695864
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2391
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2 194 2.86 0.7724
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3 291 4.30 0.8747
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4 388 5.73 0.8976
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5 485 7.16 0.9073
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6 582 8.59 0.9189
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7 679 10.02 0.9273
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8 776 11.45 0.9321
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9 873 12.88 0.9378
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10 970 14.32 0.9400
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8 of 9 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9406777777777777 +- 0.0007051836290054496
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2016
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2 194 2.86 0.7633
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3 291 4.29 0.8720
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4 388 5.73 0.8971
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5 485 7.16 0.9122
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6 582 8.59 0.9195
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7 679 10.02 0.9273
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8 776 11.45 0.9318
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9 873 12.88 0.9376
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10 970 14.31 0.9414
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9 of 10 runs >= 94.0 % accuracy
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Min accuracy: 0.9399000000000001
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9407499999999999 +- 0.0007032069396699712
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1618
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2 194 2.86 0.7815
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3 291 4.29 0.8726
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4 388 5.73 0.8981
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5 485 7.16 0.9126
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6 582 8.59 0.9182
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7 679 10.02 0.9271
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8 776 11.45 0.9331
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9 873 12.88 0.9367
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10 970 14.31 0.9393
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9 of 11 runs >= 94.0 % accuracy
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Min accuracy: 0.9393
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Max accuracy: 0.9417000000000001
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Mean accuracy: 0.9406181818181817 +- 0.0007894971723343771
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1863
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2 194 2.86 0.7682
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3 291 4.29 0.8746
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4 388 5.73 0.8963
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5 485 7.16 0.9096
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6 582 8.59 0.9203
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7 679 10.02 0.9262
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8 776 11.45 0.9339
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9 873 12.88 0.9392
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10 970 14.32 0.9424
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10 of 12 runs >= 94.0 % accuracy
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Min accuracy: 0.9393
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Max accuracy: 0.9424
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Mean accuracy: 0.9407666666666664 +- 0.000902157906848292
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2488
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2 194 2.86 0.7649
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3 291 4.30 0.8752
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4 388 5.73 0.8987
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5 485 7.16 0.9114
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6 582 8.59 0.9201
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7 679 10.02 0.9285
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8 776 11.45 0.9343
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9 873 12.88 0.9371
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10 970 14.32 0.9400
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11 of 13 runs >= 94.0 % accuracy
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Min accuracy: 0.9393
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Max accuracy: 0.9424
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Mean accuracy: 0.940707692307692 +- 0.0008905154414603322
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Files already downloaded and verified
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Preprocessing: 1.16 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1639
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2 194 2.86 0.7551
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3 291 4.29 0.8769
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4 388 5.73 0.8994
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5 485 7.16 0.9134
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6 582 8.59 0.9239
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7 679 10.02 0.9295
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8 776 11.45 0.9362
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9 873 12.88 0.9427
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10 970 14.32 0.9437
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12 of 14 runs >= 94.0 % accuracy
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Min accuracy: 0.9393
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9409214285714284 +- 0.001153366854925543
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1894
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2 194 2.86 0.7581
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3 291 4.29 0.8751
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4 388 5.73 0.8988
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5 485 7.16 0.9123
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6 582 8.59 0.9181
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7 679 10.02 0.9268
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8 776 11.45 0.9326
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9 873 12.88 0.9372
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10 970 14.31 0.9401
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13 of 15 runs >= 94.0 % accuracy
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Min accuracy: 0.9393
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408666666666664 +- 0.0011329411085999024
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1954
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2 194 2.86 0.7762
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3 291 4.30 0.8809
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4 388 5.73 0.9007
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5 485 7.16 0.9116
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6 582 8.59 0.9191
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7 679 10.02 0.9281
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8 776 11.45 0.9331
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9 873 12.89 0.9382
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10 970 14.32 0.9399
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13 of 16 runs >= 94.0 % accuracy
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Min accuracy: 0.9393
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408062499999997 +- 0.0011216443007923751
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1811
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2 194 2.86 0.7517
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3 291 4.29 0.8720
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4 388 5.73 0.8982
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5 485 7.16 0.9123
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6 582 8.59 0.9206
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7 679 10.02 0.9275
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8 776 11.45 0.9339
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9 873 12.88 0.9369
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10 970 14.32 0.9386
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13 of 17 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.940676470588235 +- 0.001205638425831252
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2231
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2 194 2.86 0.7598
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3 291 4.29 0.8750
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4 388 5.73 0.8980
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5 485 7.16 0.9117
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6 582 8.59 0.9219
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7 679 10.02 0.9281
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8 776 11.45 0.9345
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9 873 12.88 0.9390
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10 970 14.31 0.9400
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14 of 18 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9406388888888887 +- 0.0011818718152381616
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1511
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2 194 2.86 0.7385
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3 291 4.30 0.8708
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4 388 5.73 0.8956
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5 485 7.16 0.9111
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6 582 8.59 0.9205
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7 679 10.02 0.9294
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8 776 11.45 0.9353
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9 873 12.88 0.9393
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10 970 14.32 0.9429
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15 of 19 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.940757894736842 +- 0.0012562751079339411
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1677
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2 194 2.86 0.7383
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3 291 4.29 0.8695
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4 388 5.73 0.8973
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5 485 7.16 0.9098
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6 582 8.59 0.9175
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7 679 10.02 0.9266
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8 776 11.45 0.9333
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9 873 12.88 0.9389
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10 970 14.31 0.9418
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16 of 20 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408099999999999 +- 0.0012453513560437605
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2051
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2 194 2.86 0.7653
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3 291 4.29 0.8757
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4 388 5.73 0.9009
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5 485 7.16 0.9141
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6 582 8.59 0.9214
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7 679 10.02 0.9283
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8 776 11.45 0.9339
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9 873 12.88 0.9407
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10 970 14.32 0.9419
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17 of 21 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408619047619047 +- 0.0012373074416714115
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.2169
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2 194 2.86 0.7749
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3 291 4.29 0.8800
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4 388 5.73 0.8976
|
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5 485 7.16 0.9109
|
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6 582 8.59 0.9191
|
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7 679 10.02 0.9282
|
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8 776 11.45 0.9330
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9 873 12.88 0.9379
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10 970 14.32 0.9408
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18 of 22 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408590909090908 +- 0.0012089285605290504
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1385
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2 194 2.86 0.7481
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3 291 4.29 0.8719
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4 388 5.73 0.8993
|
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5 485 7.16 0.9103
|
|
6 582 8.59 0.9226
|
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7 679 10.02 0.9296
|
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8 776 11.45 0.9358
|
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9 873 12.88 0.9399
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10 970 14.32 0.9421
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19 of 23 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9409130434782608 +- 0.0012091334834162717
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1937
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2 194 2.86 0.7671
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3 291 4.29 0.8770
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4 388 5.73 0.8984
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5 485 7.16 0.9132
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6 582 8.59 0.9207
|
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7 679 10.02 0.9302
|
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8 776 11.45 0.9339
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9 873 12.88 0.9376
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10 970 14.31 0.9388
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19 of 24 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408249999999999 +- 0.0012567318727556903
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
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epoch batch train time [sec] validation accuracy
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1 97 1.43 0.1742
|
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2 194 2.86 0.7835
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3 291 4.29 0.8715
|
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4 388 5.73 0.9001
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5 485 7.16 0.9076
|
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6 582 8.59 0.9186
|
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7 679 10.02 0.9259
|
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8 776 11.45 0.9344
|
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9 873 12.88 0.9387
|
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10 970 14.31 0.9422
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20 of 25 runs >= 94.0 % accuracy
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Min accuracy: 0.9386
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Max accuracy: 0.9437000000000001
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Mean accuracy: 0.9408799999999999 +- 0.0012604761005271072
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Files already downloaded and verified
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Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1694
|
|
2 194 2.86 0.7748
|
|
3 291 4.29 0.8763
|
|
4 388 5.73 0.8980
|
|
5 485 7.16 0.9105
|
|
6 582 8.59 0.9214
|
|
7 679 10.02 0.9286
|
|
8 776 11.45 0.9353
|
|
9 873 12.88 0.9401
|
|
10 970 14.32 0.9432
|
|
|
|
21 of 26 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9437000000000001
|
|
Mean accuracy: 0.9409692307692308 +- 0.0013140569097760556
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2075
|
|
2 194 2.86 0.7711
|
|
3 291 4.29 0.8775
|
|
4 388 5.73 0.9025
|
|
5 485 7.16 0.9130
|
|
6 582 8.59 0.9185
|
|
7 679 10.02 0.9285
|
|
8 776 11.45 0.9347
|
|
9 873 12.88 0.9377
|
|
10 970 14.31 0.9400
|
|
|
|
22 of 27 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9437000000000001
|
|
Mean accuracy: 0.9409333333333334 +- 0.001302419401074905
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1658
|
|
2 194 2.86 0.7553
|
|
3 291 4.29 0.8735
|
|
4 388 5.73 0.8976
|
|
5 485 7.16 0.9133
|
|
6 582 8.59 0.9219
|
|
7 679 10.02 0.9284
|
|
8 776 11.45 0.9345
|
|
9 873 12.88 0.9379
|
|
10 970 14.32 0.9405
|
|
|
|
23 of 28 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9437000000000001
|
|
Mean accuracy: 0.9409178571428571 +- 0.0012814761497776687
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1990
|
|
2 194 2.86 0.7628
|
|
3 291 4.29 0.8770
|
|
4 388 5.73 0.8993
|
|
5 485 7.16 0.9130
|
|
6 582 8.59 0.9223
|
|
7 679 10.02 0.9284
|
|
8 776 11.45 0.9336
|
|
9 873 12.88 0.9385
|
|
10 970 14.31 0.9424
|
|
|
|
24 of 29 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9437000000000001
|
|
Mean accuracy: 0.9409689655172414 +- 0.001287902183123281
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.30 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1776
|
|
2 194 2.86 0.7540
|
|
3 291 4.29 0.8721
|
|
4 388 5.73 0.8991
|
|
5 485 7.16 0.9127
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9278
|
|
8 776 11.45 0.9356
|
|
9 873 12.88 0.9391
|
|
10 970 14.31 0.9438
|
|
|
|
25 of 30 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410633333333334 +- 0.0013644249908131912
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1706
|
|
2 194 2.86 0.7568
|
|
3 291 4.29 0.8783
|
|
4 388 5.73 0.9007
|
|
5 485 7.16 0.9121
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9264
|
|
8 776 11.45 0.9336
|
|
9 873 12.88 0.9386
|
|
10 970 14.32 0.9402
|
|
|
|
26 of 31 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410354838709678 +- 0.0013508774656345519
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1975
|
|
2 194 2.86 0.7504
|
|
3 291 4.29 0.8703
|
|
4 388 5.73 0.8995
|
|
5 485 7.16 0.9133
|
|
6 582 8.59 0.9207
|
|
7 679 10.02 0.9271
|
|
8 776 11.45 0.9335
|
|
9 873 12.88 0.9376
|
|
10 970 14.31 0.9404
|
|
|
|
27 of 32 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.941015625 +- 0.0013341920249255808
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2214
|
|
2 194 2.86 0.7783
|
|
3 291 4.29 0.8785
|
|
4 388 5.73 0.9015
|
|
5 485 7.16 0.9117
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9281
|
|
8 776 11.45 0.9332
|
|
9 873 12.88 0.9373
|
|
10 970 14.32 0.9387
|
|
|
|
27 of 33 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409454545454546 +- 0.001372476396902734
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1526
|
|
2 194 2.86 0.7857
|
|
3 291 4.30 0.8825
|
|
4 388 5.73 0.9006
|
|
5 485 7.16 0.9116
|
|
6 582 8.59 0.9216
|
|
7 679 10.02 0.9292
|
|
8 776 11.45 0.9344
|
|
9 873 12.88 0.9377
|
|
10 970 14.32 0.9409
|
|
|
|
28 of 34 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409441176470589 +- 0.001352164099088963
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1339
|
|
2 194 2.86 0.7638
|
|
3 291 4.30 0.8749
|
|
4 388 5.73 0.8977
|
|
5 485 7.16 0.9115
|
|
6 582 8.59 0.9203
|
|
7 679 10.02 0.9270
|
|
8 776 11.45 0.9335
|
|
9 873 12.89 0.9372
|
|
10 970 14.32 0.9387
|
|
|
|
28 of 35 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9408799999999999 +- 0.0013841552348944548
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1608
|
|
2 194 2.86 0.7766
|
|
3 291 4.29 0.8748
|
|
4 388 5.73 0.8990
|
|
5 485 7.16 0.9151
|
|
6 582 8.59 0.9228
|
|
7 679 10.02 0.9298
|
|
8 776 11.45 0.9352
|
|
9 873 12.89 0.9407
|
|
10 970 14.32 0.9431
|
|
|
|
29 of 36 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409416666666667 +- 0.0014127150770374389
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1548
|
|
2 194 2.86 0.7627
|
|
3 291 4.29 0.8766
|
|
4 388 5.73 0.8994
|
|
5 485 7.16 0.9129
|
|
6 582 8.59 0.9186
|
|
7 679 10.02 0.9283
|
|
8 776 11.45 0.9340
|
|
9 873 12.88 0.9376
|
|
10 970 14.32 0.9406
|
|
|
|
30 of 37 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409324324324325 +- 0.0013945945945945983
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1331
|
|
2 194 2.86 0.7475
|
|
3 291 4.29 0.8756
|
|
4 388 5.73 0.8987
|
|
5 485 7.16 0.9111
|
|
6 582 8.59 0.9212
|
|
7 679 10.02 0.9299
|
|
8 776 11.45 0.9353
|
|
9 873 12.88 0.9381
|
|
10 970 14.32 0.9400
|
|
|
|
31 of 38 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409078947368421 +- 0.0013841930156987322
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1920
|
|
2 194 2.86 0.7703
|
|
3 291 4.30 0.8717
|
|
4 388 5.73 0.8999
|
|
5 485 7.16 0.9127
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9291
|
|
8 776 11.45 0.9335
|
|
9 873 12.88 0.9372
|
|
10 970 14.32 0.9409
|
|
|
|
32 of 39 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409076923076923 +- 0.001366332282179358
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2233
|
|
2 194 2.86 0.7744
|
|
3 291 4.29 0.8774
|
|
4 388 5.73 0.9004
|
|
5 485 7.16 0.9103
|
|
6 582 8.59 0.9180
|
|
7 679 10.02 0.9274
|
|
8 776 11.45 0.9324
|
|
9 873 12.88 0.9362
|
|
10 970 14.32 0.9401
|
|
|
|
33 of 40 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9408875 +- 0.0013550253687662117
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1517
|
|
2 194 2.86 0.7652
|
|
3 291 4.30 0.8746
|
|
4 388 5.73 0.9017
|
|
5 485 7.16 0.9127
|
|
6 582 8.59 0.9223
|
|
7 679 10.02 0.9287
|
|
8 776 11.45 0.9352
|
|
9 873 12.88 0.9385
|
|
10 970 14.32 0.9417
|
|
|
|
34 of 41 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409073170731707 +- 0.0013442543030141032
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1398
|
|
2 194 2.86 0.7663
|
|
3 291 4.29 0.8771
|
|
4 388 5.73 0.9026
|
|
5 485 7.16 0.9138
|
|
6 582 8.59 0.9227
|
|
7 679 10.02 0.9285
|
|
8 776 11.45 0.9327
|
|
9 873 12.88 0.9382
|
|
10 970 14.31 0.9410
|
|
|
|
35 of 42 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409095238095239 +- 0.0013282300295272198
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1710
|
|
2 194 2.86 0.7369
|
|
3 291 4.30 0.8745
|
|
4 388 5.73 0.8990
|
|
5 485 7.16 0.9128
|
|
6 582 8.59 0.9217
|
|
7 679 10.02 0.9298
|
|
8 776 11.45 0.9341
|
|
9 873 12.88 0.9372
|
|
10 970 14.32 0.9415
|
|
|
|
36 of 43 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409232558139534 +- 0.0013157078224644379
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1305
|
|
2 194 2.86 0.7610
|
|
3 291 4.29 0.8699
|
|
4 388 5.73 0.9012
|
|
5 485 7.16 0.9139
|
|
6 582 8.59 0.9224
|
|
7 679 10.02 0.9303
|
|
8 776 11.45 0.9345
|
|
9 873 12.88 0.9401
|
|
10 970 14.31 0.9424
|
|
|
|
37 of 44 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409568181818181 +- 0.0013191591204718153
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1573
|
|
2 194 2.86 0.7738
|
|
3 291 4.30 0.8788
|
|
4 388 5.73 0.8990
|
|
5 485 7.16 0.9100
|
|
6 582 8.59 0.9157
|
|
7 679 10.02 0.9245
|
|
8 776 11.45 0.9314
|
|
9 873 12.89 0.9369
|
|
10 970 14.32 0.9404
|
|
|
|
38 of 45 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409444444444444 +- 0.0013069992018284683
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1518
|
|
2 194 2.86 0.7656
|
|
3 291 4.29 0.8689
|
|
4 388 5.73 0.8969
|
|
5 485 7.16 0.9113
|
|
6 582 8.59 0.9207
|
|
7 679 10.02 0.9282
|
|
8 776 11.45 0.9349
|
|
9 873 12.88 0.9388
|
|
10 970 14.31 0.9423
|
|
|
|
39 of 46 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409739130434782 +- 0.0013077419607540432
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.21 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1756
|
|
2 194 2.86 0.7715
|
|
3 291 4.30 0.8784
|
|
4 388 5.73 0.8988
|
|
5 485 7.16 0.9130
|
|
6 582 8.59 0.9207
|
|
7 679 10.02 0.9282
|
|
8 776 11.45 0.9339
|
|
9 873 12.89 0.9380
|
|
10 970 14.32 0.9420
|
|
|
|
40 of 47 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.940995744680851 +- 0.0013022006654544492
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1981
|
|
2 194 2.86 0.7759
|
|
3 291 4.29 0.8776
|
|
4 388 5.73 0.8999
|
|
5 485 7.16 0.9135
|
|
6 582 8.59 0.9210
|
|
7 679 10.02 0.9299
|
|
8 776 11.45 0.9345
|
|
9 873 12.88 0.9395
|
|
10 970 14.31 0.9415
|
|
|
|
41 of 48 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410062499999999 +- 0.001290575816254126
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1363
|
|
2 194 2.86 0.7775
|
|
3 291 4.30 0.8744
|
|
4 388 5.73 0.8985
|
|
5 485 7.16 0.9094
|
|
6 582 8.59 0.9211
|
|
7 679 10.02 0.9283
|
|
8 776 11.45 0.9341
|
|
9 873 12.88 0.9398
|
|
10 970 14.32 0.9426
|
|
|
|
42 of 49 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.941038775510204 +- 0.0012970636109415849
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2250
|
|
2 194 2.86 0.7678
|
|
3 291 4.29 0.8731
|
|
4 388 5.73 0.9009
|
|
5 485 7.16 0.9141
|
|
6 582 8.59 0.9226
|
|
7 679 10.02 0.9290
|
|
8 776 11.45 0.9354
|
|
9 873 12.88 0.9384
|
|
10 970 14.32 0.9398
|
|
|
|
42 of 50 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410139999999998 +- 0.0012956866905236
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.16 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1939
|
|
2 194 2.86 0.7838
|
|
3 291 4.29 0.8782
|
|
4 388 5.73 0.9011
|
|
5 485 7.16 0.9123
|
|
6 582 8.59 0.9210
|
|
7 679 10.02 0.9266
|
|
8 776 11.45 0.9322
|
|
9 873 12.88 0.9383
|
|
10 970 14.32 0.9413
|
|
|
|
43 of 51 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410196078431371 +- 0.0012835336652158391
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2084
|
|
2 194 2.86 0.7610
|
|
3 291 4.29 0.8758
|
|
4 388 5.73 0.8994
|
|
5 485 7.16 0.9115
|
|
6 582 8.59 0.9219
|
|
7 679 10.02 0.9290
|
|
8 776 11.45 0.9323
|
|
9 873 12.88 0.9375
|
|
10 970 14.32 0.9402
|
|
|
|
44 of 52 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410038461538459 +- 0.00127610608711115
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1918
|
|
2 194 2.86 0.7624
|
|
3 291 4.29 0.8777
|
|
4 388 5.73 0.8997
|
|
5 485 7.16 0.9119
|
|
6 582 8.59 0.9217
|
|
7 679 10.02 0.9295
|
|
8 776 11.45 0.9339
|
|
9 873 12.88 0.9382
|
|
10 970 14.31 0.9391
|
|
|
|
44 of 53 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409679245283017 +- 0.0012902791251194902
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2120
|
|
2 194 2.86 0.7683
|
|
3 291 4.29 0.8776
|
|
4 388 5.73 0.8995
|
|
5 485 7.16 0.9099
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9284
|
|
8 776 11.45 0.9339
|
|
9 873 12.88 0.9380
|
|
10 970 14.32 0.9414
|
|
|
|
45 of 54 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409759259259258 +- 0.001279602829756342
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.17 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1534
|
|
2 194 2.86 0.7741
|
|
3 291 4.29 0.8761
|
|
4 388 5.73 0.8978
|
|
5 485 7.16 0.9095
|
|
6 582 8.59 0.9205
|
|
7 679 10.02 0.9260
|
|
8 776 11.45 0.9334
|
|
9 873 12.88 0.9379
|
|
10 970 14.31 0.9407
|
|
|
|
46 of 55 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.940970909090909 +- 0.0012684525615199195
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1579
|
|
2 194 2.86 0.7788
|
|
3 291 4.29 0.8765
|
|
4 388 5.73 0.8975
|
|
5 485 7.16 0.9115
|
|
6 582 8.59 0.9200
|
|
7 679 10.02 0.9275
|
|
8 776 11.45 0.9358
|
|
9 873 12.88 0.9399
|
|
10 970 14.32 0.9412
|
|
|
|
47 of 56 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409749999999999 +- 0.0012574421315852723
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1582
|
|
2 194 2.86 0.7814
|
|
3 291 4.29 0.8789
|
|
4 388 5.73 0.8995
|
|
5 485 7.16 0.9148
|
|
6 582 8.59 0.9203
|
|
7 679 10.02 0.9287
|
|
8 776 11.45 0.9341
|
|
9 873 12.88 0.9384
|
|
10 970 14.31 0.9397
|
|
|
|
47 of 57 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409526315789473 +- 0.0012575533560105088
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1567
|
|
2 194 2.86 0.7726
|
|
3 291 4.29 0.8755
|
|
4 388 5.73 0.9026
|
|
5 485 7.16 0.9118
|
|
6 582 8.59 0.9182
|
|
7 679 10.02 0.9266
|
|
8 776 11.45 0.9323
|
|
9 873 12.88 0.9373
|
|
10 970 14.32 0.9409
|
|
|
|
48 of 58 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409517241379309 +- 0.0012466840679496254
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2288
|
|
2 194 2.86 0.7648
|
|
3 291 4.29 0.8718
|
|
4 388 5.73 0.8973
|
|
5 485 7.16 0.9102
|
|
6 582 8.59 0.9193
|
|
7 679 10.02 0.9270
|
|
8 776 11.45 0.9327
|
|
9 873 12.88 0.9372
|
|
10 970 14.31 0.9416
|
|
|
|
49 of 59 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409627118644067 +- 0.0012389030556846066
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1764
|
|
2 194 2.86 0.7733
|
|
3 291 4.29 0.8805
|
|
4 388 5.72 0.8990
|
|
5 485 7.16 0.9105
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9280
|
|
8 776 11.45 0.9341
|
|
9 873 12.88 0.9378
|
|
10 970 14.32 0.9408
|
|
|
|
50 of 60 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.94096 +- 0.0012287120628256764
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2281
|
|
2 194 2.86 0.7761
|
|
3 291 4.29 0.8799
|
|
4 388 5.73 0.8993
|
|
5 485 7.16 0.9090
|
|
6 582 8.59 0.9209
|
|
7 679 10.02 0.9291
|
|
8 776 11.45 0.9350
|
|
9 873 12.88 0.9379
|
|
10 970 14.31 0.9404
|
|
|
|
51 of 61 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409508196721311 +- 0.0012206720737954772
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1591
|
|
2 194 2.86 0.7880
|
|
3 291 4.29 0.8783
|
|
4 388 5.73 0.8986
|
|
5 485 7.16 0.9093
|
|
6 582 8.59 0.9216
|
|
7 679 10.02 0.9277
|
|
8 776 11.45 0.9344
|
|
9 873 12.88 0.9398
|
|
10 970 14.32 0.9438
|
|
|
|
52 of 62 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409967741935483 +- 0.0012628651170454254
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2074
|
|
2 194 2.86 0.7707
|
|
3 291 4.29 0.8757
|
|
4 388 5.73 0.8971
|
|
5 485 7.16 0.9089
|
|
6 582 8.59 0.9189
|
|
7 679 10.02 0.9280
|
|
8 776 11.45 0.9325
|
|
9 873 12.88 0.9373
|
|
10 970 14.31 0.9411
|
|
|
|
53 of 63 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409984126984127 +- 0.0012528687162493164
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2003
|
|
2 194 2.86 0.7585
|
|
3 291 4.29 0.8755
|
|
4 388 5.73 0.9012
|
|
5 485 7.16 0.9132
|
|
6 582 8.59 0.9218
|
|
7 679 10.02 0.9283
|
|
8 776 11.45 0.9340
|
|
9 873 12.88 0.9391
|
|
10 970 14.32 0.9406
|
|
|
|
54 of 64 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409921875 +- 0.0012440237999506885
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1777
|
|
2 194 2.86 0.7455
|
|
3 291 4.29 0.8687
|
|
4 388 5.73 0.8964
|
|
5 485 7.16 0.9086
|
|
6 582 8.59 0.9202
|
|
7 679 10.02 0.9305
|
|
8 776 11.45 0.9350
|
|
9 873 12.88 0.9387
|
|
10 970 14.31 0.9414
|
|
|
|
55 of 65 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409984615384616 +- 0.0012354373013001455
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1714
|
|
2 194 2.86 0.7786
|
|
3 291 4.29 0.8730
|
|
4 388 5.73 0.9006
|
|
5 485 7.16 0.9120
|
|
6 582 8.59 0.9218
|
|
7 679 10.02 0.9298
|
|
8 776 11.45 0.9357
|
|
9 873 12.89 0.9399
|
|
10 970 14.32 0.9408
|
|
|
|
56 of 66 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409954545454546 +- 0.0012262818671214433
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1950
|
|
2 194 2.86 0.7619
|
|
3 291 4.29 0.8790
|
|
4 388 5.73 0.8987
|
|
5 485 7.16 0.9116
|
|
6 582 8.59 0.9226
|
|
7 679 10.02 0.9288
|
|
8 776 11.45 0.9352
|
|
9 873 12.88 0.9395
|
|
10 970 14.31 0.9415
|
|
|
|
57 of 67 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410029850746269 +- 0.0012186327240785646
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1849
|
|
2 194 2.86 0.7589
|
|
3 291 4.29 0.8778
|
|
4 388 5.73 0.8996
|
|
5 485 7.16 0.9118
|
|
6 582 8.59 0.9210
|
|
7 679 10.02 0.9282
|
|
8 776 11.45 0.9347
|
|
9 873 12.89 0.9400
|
|
10 970 14.32 0.9419
|
|
|
|
58 of 68 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9386
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410161764705882 +- 0.0012144485911815442
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1663
|
|
2 194 2.86 0.7818
|
|
3 291 4.29 0.8776
|
|
4 388 5.73 0.8995
|
|
5 485 7.16 0.9130
|
|
6 582 8.59 0.9203
|
|
7 679 10.02 0.9278
|
|
8 776 11.45 0.9325
|
|
9 873 12.88 0.9367
|
|
10 970 14.31 0.9380
|
|
|
|
58 of 69 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409724637681158 +- 0.0012583499729742719
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1706
|
|
2 194 2.86 0.7743
|
|
3 291 4.29 0.8780
|
|
4 388 5.73 0.8990
|
|
5 485 7.16 0.9110
|
|
6 582 8.59 0.9216
|
|
7 679 10.02 0.9284
|
|
8 776 11.45 0.9355
|
|
9 873 12.88 0.9381
|
|
10 970 14.32 0.9403
|
|
|
|
59 of 70 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.940962857142857 +- 0.0012518753279519065
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1936
|
|
2 194 2.86 0.7535
|
|
3 291 4.29 0.8758
|
|
4 388 5.73 0.8978
|
|
5 485 7.16 0.9110
|
|
6 582 8.59 0.9195
|
|
7 679 10.02 0.9275
|
|
8 776 11.45 0.9349
|
|
9 873 12.88 0.9395
|
|
10 970 14.31 0.9408
|
|
|
|
60 of 71 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409605633802814 +- 0.0012431761767932648
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2558
|
|
2 194 2.86 0.7785
|
|
3 291 4.29 0.8749
|
|
4 388 5.73 0.9016
|
|
5 485 7.16 0.9118
|
|
6 582 8.59 0.9228
|
|
7 679 10.02 0.9280
|
|
8 776 11.45 0.9330
|
|
9 873 12.88 0.9382
|
|
10 970 14.32 0.9420
|
|
|
|
61 of 72 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409749999999997 +- 0.0012404916140161704
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2024
|
|
2 194 2.86 0.7858
|
|
3 291 4.29 0.8788
|
|
4 388 5.73 0.8996
|
|
5 485 7.16 0.9103
|
|
6 582 8.59 0.9211
|
|
7 679 10.02 0.9271
|
|
8 776 11.45 0.9324
|
|
9 873 12.88 0.9382
|
|
10 970 14.31 0.9415
|
|
|
|
62 of 73 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409821917808217 +- 0.0012334762621337761
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1816
|
|
2 194 2.86 0.7755
|
|
3 291 4.29 0.8742
|
|
4 388 5.73 0.8991
|
|
5 485 7.16 0.9107
|
|
6 582 8.59 0.9207
|
|
7 679 10.02 0.9287
|
|
8 776 11.46 0.9351
|
|
9 873 12.89 0.9388
|
|
10 970 14.32 0.9408
|
|
|
|
63 of 74 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409797297297294 +- 0.001225294198509046
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2062
|
|
2 194 2.86 0.7855
|
|
3 291 4.29 0.8772
|
|
4 388 5.73 0.8995
|
|
5 485 7.16 0.9118
|
|
6 582 8.59 0.9197
|
|
7 679 10.02 0.9270
|
|
8 776 11.45 0.9324
|
|
9 873 12.88 0.9362
|
|
10 970 14.32 0.9394
|
|
|
|
63 of 75 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409586666666665 +- 0.00123051136614914
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1848
|
|
2 194 2.86 0.7730
|
|
3 291 4.29 0.8757
|
|
4 388 5.73 0.8957
|
|
5 485 7.16 0.9118
|
|
6 582 8.59 0.9203
|
|
7 679 10.02 0.9267
|
|
8 776 11.45 0.9350
|
|
9 873 12.89 0.9383
|
|
10 970 14.32 0.9409
|
|
|
|
64 of 76 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409578947368419 +- 0.0012224073700666859
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1839
|
|
2 194 2.86 0.7664
|
|
3 291 4.30 0.8727
|
|
4 388 5.73 0.8976
|
|
5 485 7.16 0.9112
|
|
6 582 8.59 0.9210
|
|
7 679 10.02 0.9275
|
|
8 776 11.45 0.9340
|
|
9 873 12.88 0.9384
|
|
10 970 14.32 0.9409
|
|
|
|
65 of 77 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409571428571426 +- 0.0012144614082215085
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2224
|
|
2 194 2.86 0.7789
|
|
3 291 4.29 0.8746
|
|
4 388 5.72 0.9005
|
|
5 485 7.16 0.9117
|
|
6 582 8.59 0.9220
|
|
7 679 10.02 0.9293
|
|
8 776 11.45 0.9324
|
|
9 873 12.88 0.9396
|
|
10 970 14.32 0.9413
|
|
|
|
66 of 78 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409615384615382 +- 0.0012072676045655868
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1626
|
|
2 194 2.86 0.7808
|
|
3 291 4.29 0.8801
|
|
4 388 5.73 0.9013
|
|
5 485 7.16 0.9120
|
|
6 582 8.59 0.9210
|
|
7 679 10.02 0.9273
|
|
8 776 11.45 0.9309
|
|
9 873 12.88 0.9373
|
|
10 970 14.31 0.9395
|
|
|
|
66 of 79 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409430379746833 +- 0.0012106785987387404
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 4.87 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.46 0.1603
|
|
2 194 2.89 0.7822
|
|
3 291 4.33 0.8754
|
|
4 388 5.76 0.8994
|
|
5 485 7.19 0.9122
|
|
6 582 8.62 0.9206
|
|
7 679 10.06 0.9268
|
|
8 776 11.49 0.9343
|
|
9 873 12.92 0.9391
|
|
10 970 14.35 0.9427
|
|
|
|
67 of 80 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409649999999997 +- 0.0012188211517692017
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1789
|
|
2 194 2.86 0.7684
|
|
3 291 4.29 0.8763
|
|
4 388 5.73 0.9000
|
|
5 485 7.16 0.9121
|
|
6 582 8.59 0.9199
|
|
7 679 10.02 0.9268
|
|
8 776 11.45 0.9335
|
|
9 873 12.88 0.9375
|
|
10 970 14.31 0.9403
|
|
|
|
68 of 81 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409567901234565 +- 0.0012134979814625029
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2120
|
|
2 194 2.86 0.7553
|
|
3 291 4.29 0.8746
|
|
4 388 5.73 0.8971
|
|
5 485 7.16 0.9116
|
|
6 582 8.59 0.9206
|
|
7 679 10.02 0.9287
|
|
8 776 11.45 0.9344
|
|
9 873 12.89 0.9387
|
|
10 970 14.32 0.9404
|
|
|
|
69 of 82 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409499999999996 +- 0.0012076231442534504
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1668
|
|
2 194 2.86 0.7615
|
|
3 291 4.29 0.8732
|
|
4 388 5.73 0.9000
|
|
5 485 7.16 0.9112
|
|
6 582 8.59 0.9186
|
|
7 679 10.02 0.9258
|
|
8 776 11.45 0.9341
|
|
9 873 12.88 0.9380
|
|
10 970 14.31 0.9421
|
|
|
|
70 of 83 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409638554216864 +- 0.0012068657318690286
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1906
|
|
2 194 2.86 0.7623
|
|
3 291 4.29 0.8724
|
|
4 388 5.73 0.8991
|
|
5 485 7.16 0.9102
|
|
6 582 8.59 0.9211
|
|
7 679 10.02 0.9287
|
|
8 776 11.45 0.9357
|
|
9 873 12.89 0.9394
|
|
10 970 14.32 0.9421
|
|
|
|
71 of 84 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9380000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409773809523805 +- 0.0012059723591632458
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1760
|
|
2 194 2.86 0.7717
|
|
3 291 4.29 0.8754
|
|
4 388 5.73 0.9013
|
|
5 485 7.16 0.9114
|
|
6 582 8.59 0.9196
|
|
7 679 10.02 0.9262
|
|
8 776 11.45 0.9319
|
|
9 873 12.88 0.9358
|
|
10 970 14.31 0.9379
|
|
|
|
71 of 85 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409411764705877 +- 0.0012439305936423105
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2114
|
|
2 194 2.86 0.7834
|
|
3 291 4.29 0.8785
|
|
4 388 5.73 0.9012
|
|
5 485 7.16 0.9110
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9285
|
|
8 776 11.45 0.9354
|
|
9 873 12.88 0.9391
|
|
10 970 14.32 0.9417
|
|
|
|
72 of 86 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409499999999995 +- 0.0012393499796639477
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1915
|
|
2 194 2.86 0.7640
|
|
3 291 4.29 0.8795
|
|
4 388 5.73 0.9007
|
|
5 485 7.16 0.9126
|
|
6 582 8.59 0.9205
|
|
7 679 10.02 0.9266
|
|
8 776 11.45 0.9350
|
|
9 873 12.88 0.9394
|
|
10 970 14.31 0.9415
|
|
|
|
73 of 87 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409563218390801 +- 0.0012336005752180202
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1896
|
|
2 194 2.86 0.7769
|
|
3 291 4.29 0.8762
|
|
4 388 5.72 0.8991
|
|
5 485 7.16 0.9128
|
|
6 582 8.59 0.9217
|
|
7 679 10.02 0.9296
|
|
8 776 11.45 0.9363
|
|
9 873 12.88 0.9396
|
|
10 970 14.32 0.9413
|
|
|
|
74 of 88 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409602272727269 +- 0.0012271122580276247
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.19 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1637
|
|
2 194 2.86 0.7730
|
|
3 291 4.29 0.8763
|
|
4 388 5.73 0.8981
|
|
5 485 7.16 0.9110
|
|
6 582 8.59 0.9217
|
|
7 679 10.02 0.9269
|
|
8 776 11.45 0.9325
|
|
9 873 12.88 0.9384
|
|
10 970 14.32 0.9418
|
|
|
|
75 of 89 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409696629213479 +- 0.0012234051295858975
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1619
|
|
2 194 2.86 0.7752
|
|
3 291 4.29 0.8743
|
|
4 388 5.73 0.9001
|
|
5 485 7.16 0.9114
|
|
6 582 8.59 0.9221
|
|
7 679 10.02 0.9284
|
|
8 776 11.45 0.9351
|
|
9 873 12.89 0.9388
|
|
10 970 14.32 0.9417
|
|
|
|
76 of 90 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409777777777774 +- 0.0012189957412903276
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.21 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1508
|
|
2 194 2.86 0.7641
|
|
3 291 4.29 0.8788
|
|
4 388 5.73 0.9009
|
|
5 485 7.16 0.9135
|
|
6 582 8.59 0.9217
|
|
7 679 10.02 0.9273
|
|
8 776 11.45 0.9355
|
|
9 873 12.88 0.9369
|
|
10 970 14.32 0.9399
|
|
|
|
76 of 91 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409659340659335 +- 0.001217475299767027
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 2.33 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.45 0.1757
|
|
2 194 2.89 0.7658
|
|
3 291 4.32 0.8735
|
|
4 388 5.75 0.8987
|
|
5 485 7.18 0.9091
|
|
6 582 8.61 0.9202
|
|
7 679 10.05 0.9292
|
|
8 776 11.48 0.9349
|
|
9 873 12.91 0.9373
|
|
10 970 14.34 0.9400
|
|
|
|
77 of 92 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409554347826081 +- 0.0012149757673764164
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2004
|
|
2 194 2.86 0.7658
|
|
3 291 4.29 0.8757
|
|
4 388 5.73 0.9004
|
|
5 485 7.16 0.9131
|
|
6 582 8.59 0.9219
|
|
7 679 10.02 0.9304
|
|
8 776 11.45 0.9354
|
|
9 873 12.88 0.9385
|
|
10 970 14.32 0.9410
|
|
|
|
78 of 93 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409559139784941 +- 0.0012084347260915502
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1777
|
|
2 194 2.86 0.7851
|
|
3 291 4.29 0.8757
|
|
4 388 5.73 0.9008
|
|
5 485 7.16 0.9122
|
|
6 582 8.59 0.9200
|
|
7 679 10.02 0.9287
|
|
8 776 11.45 0.9337
|
|
9 873 12.88 0.9388
|
|
10 970 14.32 0.9422
|
|
|
|
79 of 94 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409691489361697 +- 0.001208747073814997
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2026
|
|
2 194 2.86 0.7886
|
|
3 291 4.29 0.8795
|
|
4 388 5.73 0.8995
|
|
5 485 7.16 0.9102
|
|
6 582 8.59 0.9238
|
|
7 679 10.02 0.9288
|
|
8 776 11.45 0.9331
|
|
9 873 12.88 0.9374
|
|
10 970 14.32 0.9423
|
|
|
|
80 of 95 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409831578947364 +- 0.0012100154528442541
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1473
|
|
2 194 2.86 0.7702
|
|
3 291 4.29 0.8831
|
|
4 388 5.73 0.9019
|
|
5 485 7.16 0.9123
|
|
6 582 8.59 0.9206
|
|
7 679 10.02 0.9281
|
|
8 776 11.45 0.9342
|
|
9 873 12.88 0.9395
|
|
10 970 14.32 0.9430
|
|
|
|
81 of 96 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9410041666666662 +- 0.0012209897510717378
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.2115
|
|
2 194 2.86 0.7763
|
|
3 291 4.30 0.8766
|
|
4 388 5.73 0.8973
|
|
5 485 7.16 0.9102
|
|
6 582 8.59 0.9186
|
|
7 679 10.02 0.9270
|
|
8 776 11.45 0.9322
|
|
9 873 12.89 0.9379
|
|
10 970 14.32 0.9404
|
|
|
|
82 of 97 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409979381443294 +- 0.0012162117440985179
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1600
|
|
2 194 2.86 0.7649
|
|
3 291 4.29 0.8754
|
|
4 388 5.72 0.9016
|
|
5 485 7.16 0.9099
|
|
6 582 8.59 0.9211
|
|
7 679 10.02 0.9281
|
|
8 776 11.45 0.9342
|
|
9 873 12.88 0.9391
|
|
10 970 14.32 0.9390
|
|
|
|
82 of 98 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409775510204076 +- 0.0012265374036281819
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1522
|
|
2 194 2.86 0.7512
|
|
3 291 4.29 0.8724
|
|
4 388 5.73 0.8958
|
|
5 485 7.16 0.9115
|
|
6 582 8.59 0.9215
|
|
7 679 10.02 0.9285
|
|
8 776 11.45 0.9346
|
|
9 873 12.88 0.9387
|
|
10 970 14.32 0.9410
|
|
|
|
83 of 99 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409777777777772 +- 0.0012203291123858678
|
|
|
|
Files already downloaded and verified
|
|
Preprocessing: 1.18 seconds
|
|
|
|
epoch batch train time [sec] validation accuracy
|
|
1 97 1.43 0.1557
|
|
2 194 2.86 0.7767
|
|
3 291 4.29 0.8756
|
|
4 388 5.73 0.8975
|
|
5 485 7.16 0.9118
|
|
6 582 8.59 0.9204
|
|
7 679 10.02 0.9294
|
|
8 776 11.45 0.9373
|
|
9 873 12.88 0.9401
|
|
10 970 14.32 0.9427
|
|
|
|
84 of 100 runs >= 94.0 % accuracy
|
|
Min accuracy: 0.9379000000000001
|
|
Max accuracy: 0.9438000000000001
|
|
Mean accuracy: 0.9409949999999995 +- 0.0012262442660416419
|
|
|