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Questions tagged [early-stopping]

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Keras CNN early stopping not working as expected with patience parameter in imbalanced datasets

So I want to stop the cnn when a custom (not implemented in keras) logged metric is not improving with a patience of 5 (I chose macro f1 score) and here's what I did: Created a callback to log the ...
giza2001s's user avatar
0 votes
0 answers

How do we modify the early stopping procedure to account for better losses after initial rise in losses?

I have a question regarding the usage of early stopping in the training of my forecasting model. Curious about how the training would go without early stopping, I observed that the test loss seems to ...
Zezimabig's user avatar
1 vote
0 answers

Avoid overfitting to noise by a noise penalty approach instead of early stopping?

I came across this article on deep learning for computational MRI and found an interesting sentence "However, early stopping has to be performed to not overfit to the noisy measurements." ...
Shihao ZENG's user avatar
0 votes
1 answer

Tensorflow / Keras - Using both ModelCheckpoint: save_best_only and EarlyStopping: restore_best_weights

ModelCheckpoint save_best_only: if save_best_only=True, it only saves when the model is considered the "best" and the latest best model according to the quantity monitored will not be ...
Panda's user avatar
  • 21
3 votes
1 answer

What is the purpose of EarlyStopping returning last epoch's weights by default?

I recently realized that keras callback for early stopping returns the last epoch's weights by default. If you want to do otherwise you can use the argument ...
Luca Clissa's user avatar
1 vote
2 answers

Strategy to choose maximum value from an unknown array of n numbers

Suppose you have an array of n normally distributed numbers whose values are initially unknown(and the probability parameters are unknown too). You must choose one number and you want it to have ...
AutisticRat's user avatar
0 votes
4 answers

Is it ok if I use early callbacks with restore best weights?

Does anyone know, if it is ok if I use early callbacks with restore best weights? The metric measured by the early callback is validation loss. I was afraid that if I restore the best weights of the ...
Dinu Mihai's user avatar
1 vote
0 answers

Is Callback / early stopping and validation set is not mandatory

I just noticed that in mostly github repositry of research papers they didnt implemented early stopping criteria and they didnt use validation set but whats the reason behind this?
user12's user avatar
  • 171
1 vote
1 answer

Keras: How to restore initial weights when using EarlyStopping

Using Keras, I setup EarlyStoping like this: EarlyStopping(monitor='val_loss', min_delta=0, patience=100, verbose=0, mode='min', restore_best_weights=True) When I ...
ruminator's user avatar
  • 113
0 votes
1 answer

Early stopping based on average val_loss of last ten epoches and with some n partiences

I am training a DNN with CNN in Keras. Though, I can write an EarlyStopping criteria based on val_loss but due to minor oscillations in the val_loss, I want to monitor the average validation loss over ...
prashanta_himalay's user avatar
2 votes
1 answer

When to stop the final model training?

Let's say I'm participating in a Kaggle image recognition competition. Firstly, I create a train/validation split and find the good hyperparameters for my model. Here the stopping criterion is when ...
SpaceCossack's user avatar
0 votes
1 answer

Early stopping with class weights / sample weights

I'm performing a classification of imbalanced multiclass data using a Neural Network in the TensorFlow framework. Therefore, I'm applying class weights. I would like to apply early stopping to reduce ...
Igal L's user avatar
  • 1
6 votes
1 answer

Keras EarlyStopping callback: Why would I ever set restore_best_weights=False?

The point of EarlyStopping is to stop training at a point where validation loss (or some other metric) does not improve. If I have set ...
codeananda's user avatar
0 votes
0 answers

Can we used both cross validation/nested cross validation technique and early stopping with patient at the same time?

Can we use both cross validation/nested cross validation technique and early stopping with patient at the same time? Using early stopping for each (training, validation) fold and get best result of ...
Hoang Le's user avatar
1 vote
1 answer

NGBoost and overfit - which model is used?

While training an NGBoost model I got: ...
user2182857's user avatar
-1 votes
1 answer

Can the use of EarlyStopping() offset overfitting problems caused by validation_split?

Keras gives users the option, while fitting a model, to split the data into train/test samples using the parameter "validation_split. Example: ...
namiyousef's user avatar
1 vote
1 answer

EarlyStopping based on the loss

When training my CNN model, based on the random initialization of weights, i get the prediction results. In other words, with the same training and test data i get different results every time when i ...
phillipe cauchett's user avatar
1 vote
1 answer

Daily new data for my neural network, and I want transfer(?) learning

I made my neural network, it is pre-trained for 180 days of data. ...
INNO TECH's user avatar
  • 139
18 votes
3 answers

What is the proper way to use early stopping with cross-validation?

I am not sure what is the proper way to use early stopping with cross-validation for a gradient boosting algorithm. For a simple train/valid split, we can use the valid dataset as the evaluation ...
amine456's user avatar
  • 181
8 votes
1 answer

Keras Early Stopping: Monitor 'loss' or 'val_loss'?

I often use "early stopping" when I train neural nets, e.g. in Keras: ...
Peter's user avatar
  • 7,516