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Dre4M May 23rd, 2019 78 Never
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  1. Model   n_per_class train_loss  train_acc   val_loss    val_acc test_loss   test_acc    img_size    attempt
  2. DenseNet121 50  0.1195  0.9830  0.9736  0.7227  1.4038  0.6100  32  1
  3. DenseNet121 50  0.5474  0.8985  1.0485  0.7113  1.4921  0.5837  32  2
  4. DenseNet121 50  0.6540  0.8730  1.2847  0.7113  1.5251  0.5614  32  3
  5. DenseNet121 50  0.2851  0.9543  1.0571  0.7254  1.4091  0.6140  32  4
  6. DenseNet121 50  0.3131  0.9490  1.0513  0.7394  1.4208  0.6051  32  5
  7. DenseNet121 100 0.1282  0.9755  0.8401  0.7767  1.1458  0.6940  32  1
  8. DenseNet121 100 0.2334  0.9556  0.8648  0.7791  1.1544  0.6714  32  2
  9. DenseNet121 100 0.1461  0.9748  0.8038  0.8034  1.1725  0.6755  32  3
  10. DenseNet121 100 0.0674  0.9931  0.7313  0.7864  1.0372  0.7151  32  4
  11. DenseNet121 100 0.1511  0.9768  0.9026  0.7694  1.1090  0.7048  32  5
  12. DenseNet121 300 0.1616  0.9534  0.3014  0.9149  0.7177  0.7914  32  1
  13. DenseNet121 300 0.0488  0.9882  0.3172  0.9209  0.7301  0.8051  32  2
  14. DenseNet121 300 0.2333  0.9312  0.3779  0.8914  0.7398  0.7792  32  3
  15. DenseNet121 300 0.1262  0.9638  0.3023  0.9102  0.6631  0.8092  32  4
  16. DenseNet121 300 0.0985  0.9736  0.3407  0.9068  0.7507  0.7899  32  5
  17. DenseNet121 500 0.0550  0.9850  0.2113  0.9409  0.5687  0.8418  32  1
  18. DenseNet121 500 0.0178  0.9952  0.2132  0.9495  0.5059  0.8718  32  2
  19. DenseNet121 500 0.0658  0.9817  0.2038  0.9405  0.5870  0.8351  32  3
  20. DenseNet121 500 0.0464  0.9860  0.2114  0.9413  0.6468  0.8233  32  4
  21. DenseNet121 500 0.0357  0.9899  0.2131  0.9374  0.7469  0.8111  32  5
  22. DenseNet121 1000    0.0327  0.9906  0.1129  0.9683  0.4948  0.8711  32  1
  23. DenseNet121 1000    0.0289  0.9919  0.1129  0.9695  0.3597  0.8988  32  2
  24. DenseNet121 1000    0.0115  0.9966  0.1038  0.9727  0.4157  0.9014  32  3
  25. DenseNet121 1000    0.0134  0.9957  0.0934  0.9786  0.3864  0.9040  32  4
  26. DenseNet121 1000    0.0252  0.9926  0.0933  0.9729  0.3875  0.8999  32  5
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