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skanger avatar skanger commented on May 30, 2024

now, it is step 2000 , every single step loss is 0, but is keep traniing
my train set has only 3 pictures, but my mac is old,
how can i know it is finished

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LxKxC avatar LxKxC commented on May 30, 2024

now, it is step 2000 , every single step loss is 0, but is keep traniing
my train set has only 3 pictures, but my mac is old,
how can i know it is finished

  • My captche program runs on raspberry PI 3B+.
  • I use python captcha_gen_default.py to make captche,so I think it will stop in the 50000 step.
  • It has been running for three days.
  • You need to blow Rraspberry Pi with a small fan.If you don't, the Raspberry PI will burn down.

train

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LxKxC avatar LxKxC commented on May 30, 2024

now, it is step 2000 , every single step loss is 0, but is keep traniing
my train set has only 3 pictures, but my mac is old,
how can i know it is finished

  • I think if the training is complete, the training program will automatically save and exit, machine learning is a time-consuming process.

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skanger avatar skanger commented on May 30, 2024

@LxKxC I got "Saving . in ./captcha_train/captcha" too. Does it could be used as train set result?
if I keep trainning , it will help the result better ?
Thanks for you reply.

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LxKxC avatar LxKxC commented on May 30, 2024

@skanger I don't think that using the same picture to repeat training can improve the recognition rate.
Let me talk about my understanding:

  • Picture A, training once.
  • All features of the picture A have been counted in the program.
  • Repeated training of the picture A, no new features found, so no help for training

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LxKxC avatar LxKxC commented on May 30, 2024

@skanger I asked a friend from China who told me:
随着训练次数的上升,残差平方和会下降,但你需要控制防止过拟合
Translation into English generally means:
As the number of training increases, the sum of squared residuals will decrease, but you need to control to prevent overfitting

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