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- Epoch: 1. Elapsed: 126.8612732887268
- Training loss: 130.3923544883728, training accuracy: 0.24642652944539736.
- Validation loss: 41.888224601745605, validation accuracy: 0.24349442379182157.
- =================================================================================
- Epoch: 2. Elapsed: 128.37208676338196
- Training loss: 105.6669020652771, training accuracy: 0.41680960548885077.
- Validation loss: 34.327656269073486, validation accuracy: 0.3754646840148699.
- =================================================================================
- Epoch: 3. Elapsed: 128.63509511947632
- Training loss: 57.52601480484009, training accuracy: 0.6649514008004574.
- Validation loss: 20.125646114349365, validation accuracy: 0.6022304832713755.
- =================================================================================
- Epoch: 4. Elapsed: 128.911235332489
- Training loss: 45.442174315452576, training accuracy: 0.7118353344768439.
- Validation loss: 18.55245554447174, validation accuracy: 0.6152416356877324.
- =================================================================================
- Epoch: 5. Elapsed: 129.09079265594482
- Training loss: 29.86143597960472, training accuracy: 0.8227558604917096.
- Validation loss: 13.843594938516617, validation accuracy: 0.7342007434944238.
- =================================================================================
- Epoch: 6. Elapsed: 129.18503212928772
- Training loss: 49.74005478620529, training accuracy: 0.7118353344768439.
- Validation loss: 20.38620775938034, validation accuracy: 0.6301115241635687.
- =================================================================================
- Epoch: 7. Elapsed: 129.27034449577332
- Training loss: 28.7937254011631, training accuracy: 0.8130360205831904.
- Validation loss: 15.474022805690765, validation accuracy: 0.7044609665427509.
- =================================================================================
- Epoch: 8. Elapsed: 129.3943428993225
- Training loss: 10.683680564165115, training accuracy: 0.9433962264150944.
- Validation loss: 9.598698943853378, validation accuracy: 0.8382899628252788.
- =================================================================================
- Epoch: 9. Elapsed: 129.45537853240967
- Training loss: 11.047565639019012, training accuracy: 0.938822184105203.
- Validation loss: 10.8632632791996, validation accuracy: 0.8085501858736059.
- =================================================================================
- Epoch: 10. Elapsed: 129.42856788635254
- Training loss: 19.79767794907093, training accuracy: 0.8930817610062893.
- Validation loss: 11.715096116065979, validation accuracy: 0.7806691449814126.
- =================================================================================
- Epoch: 11. Elapsed: 129.48811411857605
- Training loss: 17.300908651202917, training accuracy: 0.9199542595769011.
- Validation loss: 15.372769564390182, validation accuracy: 0.7936802973977695.
- =================================================================================
- Epoch: 12. Elapsed: 129.50346040725708
- Training loss: 5.341893618926406, training accuracy: 0.9702687249857062.
- Validation loss: 10.752056360244751, validation accuracy: 0.8438661710037175.
- =================================================================================
- Epoch: 13. Elapsed: 129.91712713241577
- Training loss: 3.8527122526429594, training accuracy: 0.9736992567181246.
- Validation loss: 10.392525106668472, validation accuracy: 0.8475836431226765.
- =================================================================================
- Epoch: 14. Elapsed: 131.64320611953735
- Training loss: 2.690865371376276, training accuracy: 0.9874213836477987.
- Validation loss: 9.746405243873596, validation accuracy: 0.8773234200743495.
- =================================================================================
- Epoch: 15. Elapsed: 131.67197060585022
- Training loss: 1.9879933348856866, training accuracy: 0.9919954259576901.
- Validation loss: 9.818885818123817, validation accuracy: 0.8828996282527881.
- =================================================================================
- Epoch: 16. Elapsed: 131.66850090026855
- Training loss: 1.0224746734602377, training accuracy: 0.9971412235563178.
- Validation loss: 9.764100298285484, validation accuracy: 0.8866171003717472.
- =================================================================================
- Epoch: 17. Elapsed: 131.61694383621216
- Training loss: 0.6867406953824684, training accuracy: 0.9977129788450543.
- Validation loss: 10.032499998807907, validation accuracy: 0.8921933085501859.
- =================================================================================
- Epoch: 18. Elapsed: 131.63226556777954
- Training loss: 27.726631853962317, training accuracy: 0.9331046312178388.
- Validation loss: 23.248698353767395, validation accuracy: 0.7806691449814126.
- =================================================================================
- Epoch: 19. Elapsed: 131.65114092826843
- Training loss: 0.5376116488478146, training accuracy: 0.9994282447112636.
- Validation loss: 9.744650661945343, validation accuracy: 0.8866171003717472.
- =================================================================================
- Epoch: 20. Elapsed: 131.63427829742432
- Training loss: 0.6207754866918549, training accuracy: 0.9977129788450543.
- Validation loss: 10.687748320400715, validation accuracy: 0.8903345724907064.
- =================================================================================
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