Questions tagged [early-stopping]
The early-stopping tag has no usage guidance.
14
questions
1
vote
0
answers
15
views
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?
0
votes
0
answers
55
views
How to implement Early stopping in Neural Machine Translation with Attention or Transformers?
I am trying to implement early stopping to my model where I am performing Machine Translation using Seq2Seq with attention. I am mostly used to writing my own models in steps, something like this:
<...
1
vote
1
answer
52
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
1
answer
105
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
votes
0
answers
31
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
1
answer
72
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
vote
0
answers
1k
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
votes
0
answers
104
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 ...
1
vote
1
answer
71
views
NGBoost and overfit - which model is used?
While training an NGBoost model I got:
...
-1
votes
1
answer
46
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
1
answer
47
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
1
answer
67
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.
...
12
votes
2
answers
4k
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 ...
6
votes
1
answer
4k
views
Keras Early Stopping: Monitor 'loss' or 'val_loss'?
I often use "early stopping" when I train neural nets, e.g. in Keras:
...