Greetings!
I am trying to reproduce the experimental results in Table 1. However, after fixing the bugs in these scripts and training the inception3_i2c with hyper-parameters provided in script/train.sh, I only get 'Top1: tensor(34.6140) Top5: tensor(59.7620)', which are far away from the 26.7, 8.4 in the last line of Table 1.
I think the reason behind such phenomenon lies in the hyper-parameters of training, as 5 epochs and no pretraining usually cannot guarantee the model convergence. But I cannot find any details about parameter setting in the paper. Could you give me some clues?
Hope for reply.
Greetings! I am trying to reproduce the experimental results in Table 1. However, after fixing the bugs in these scripts and training the inception3_i2c with hyper-parameters provided in
script/train.sh, I only get 'Top1: tensor(34.6140) Top5: tensor(59.7620)', which are far away from the26.7, 8.4in the last line of Table 1. I think the reason behind such phenomenon lies in the hyper-parameters of training, as 5 epochs and no pretraining usually cannot guarantee the model convergence. But I cannot find any details about parameter setting in the paper. Could you give me some clues? Hope for reply.