Questions tagged [early-stopping]

For questions about the "Early Stopping" technique used to avoid overfitting in iterative training of AIs.

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Do different models using early stopping have the same validation set to check model training performance?

I, i have a doubt about making validation using early stopping given two NN models. Suppose I have two models M1 and M2 and a Training set TS and Test set TS. Take the TS and consider TS_80% and TS_20%...
PwNzDust's user avatar
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Training a GAN after after evaluation metric reaches minimum

I am training a StyleGAN-3 using one of the pre-trained models. At some point, roughly halfway through the 5000 kimg recommended for fine-tuning, the FID50K score starts oscillating around a minimum ...
Roman's user avatar
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What is better to use: early stopping, model checkpoint or both?

I want to get a model which works best, what should I go for while training the model, ModelCheckpoint, EarlyStopping, or both?
Sadaf Shafi's user avatar
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How to avoid over-fitting using early stopping when using R cross validation package caret

I have a data set with 36 rows and 9 columns. I am trying to make a model to predict the 9th column I have tried modeling the data using a range of models using caret to perform cross-validation and ...
user1573820's user avatar
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What happens if I train a network for more epochs, without using early stopping?

I have a question about training a neural network for more epochs even after the network has converged without using early stopping criterion. Consider the MNIST dataset and a LeNet 300-100-10 dense ...
Arun's user avatar
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What is the difference between TensorFlow's callbacks and early stopping?

What is the difference between TensorFlow's callbacks and early stopping?
Sharath's user avatar
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7 votes
2 answers

Should I prefer the model with the lowest validation loss or the highest validation accuracy to deploy?

I trained a ResNet20 on Cifar10 and obtained the following learning curves. From the figures, I see at epoch 52, my validation loss is 0.323 (the lowest), and my validation accuracy is 89.7%. On the ...
SpiderRico's user avatar
2 votes
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Should I choose the model with highest validation accuracy or the model with highest mean of training and validation accuracy?

I'm training a deep network in Keras on some images for a binary classification (I have around 12K images). Once in a while, I collect some false positives and add ...
Tina J's user avatar
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9 votes
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What is "early stopping" in machine learning?

What is early stopping in machine learning and, in general, artificial intelligence? What are the advantages of using this method? How does it help exactly? I'd be interested in perspectives and ...
kenorb's user avatar
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