Questions tagged [early-stopping]
The early-stopping tag has no usage guidance.
13
questions
1
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1answer
19 views
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 ...
0
votes
1answer
19 views
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 ...
2
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0answers
26 views
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 ...
0
votes
1answer
53 views
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 ...
1
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0answers
395 views
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 ...
0
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0answers
58 views
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 ...
0
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0answers
19 views
TF Estimator stop when overfitting?
With TF 1.x is there a way to stop training, when evaluation loss starts increasing?
Or is there another way to detect overlearning?
I know about the stop_if_no_decrease_hook, but it doesn't consider ...
1
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1answer
57 views
-1
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1answer
30 views
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:
...
1
vote
1answer
38 views
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 ...
1
vote
1answer
59 views
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.
...
11
votes
2answers
3k views
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 ...
5
votes
1answer
2k views
Keras Early Stopping: Monitor 'loss' or 'val_loss'?
I often use "early stopping" when I train neural nets, e.g. in Keras:
...
