Questions tagged [early-stopping]
75 questions
27
votes
3 answers
early stopping in PyTorch
I tried to implement an early stopping function to avoid my neural network model overfit. I'm pretty sure that the logic is fine, but for some reason, it doesn't work.
I want that when the validation loss is greater than the training loss over some…

Totoro
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4
votes
3 answers
How to make early stopping in image classification pytorch
I'm new with Pytorch and machine learning I'm follow this tutorial in this tutorial https://www.learnopencv.com/image-classification-using-transfer-learning-in-pytorch/ and use my custom dataset. Then I have same problem in this tutorial but I dont…

biepansiri
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3
votes
1 answer
Multi-label classification with SKlearn - How do you use a validation set?
Problem
I would like to use a validation dataset for early stopping while doing multi-label classification, but it seems that sklearn's MultiOutputClassifier doesn't support that. Do you have any suggestions for a solution?
What I have done
import…

Esben Eickhardt
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3
votes
0 answers
stopping hyperparameter tuning (HPO) jobs after reaching metric threshold in aws sage maker
I am running HPO jobs in sage maker, and I am thinking of a way to stop my HPO job after one of the child training jobs reaches a specific metrics threshold.
PS: I tried sage maker early stopping, but it only works on the level of epocs within each…

mohamed elhafiz
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3
votes
1 answer
How can I implement an early stopping criteria - Tensorflow Object Detection API
Fairly new to the Object Detection API here, using tf-gpu==1.15 for training and 2.2.0 for evaluation as well as python 3.7.
I am able to utilize data augmentation as well as adjust the decay of the learning rate in the ssd_mobilenet_v1.config file,…

anonymous
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3
votes
2 answers
Trouble with EarlyStopping in tf.keras
I am training my first transferred learning model(yay!) and I am having trouble getting the model to stop training when the validation loss hasn't changed by more than 0.1 in more than 3 epochs.
Here is the relevant block of code
early_stopping =…

DrkStr
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3
votes
1 answer
Is there a way to stop training in the middle of an epoch with tensorflow?
Just wondering if there is a way to save the highest accuracy and lowest loss in the middle of an epoch and using that as the score moving forward for the next epoch. Normally my data is maxed out at 43.56% accuracy but I've seen it go all the way…

Ravaal
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2
votes
0 answers
YOLOv7 does not working well after adding the Early Stopping
After adding the earlystopping function, the training result is weird. There are full of zeros and all the classes do not train well. Why does this happened?
Refer (Early Stopping):
Code:
Dataset:
I have changing some other dataset to test either…

Candy
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2
votes
1 answer
tf keras autokeras with early stopping returns empty history
I am trying different models for the same dataset, being autokeras.ImageClassifier one of them.
First I go for
img_size = (100,120,3)
train_dataset = get_dataset(x_train, y_train, img_size[:-1], 128)
valid_dataset = get_dataset(x_valid, y_valid,…

Videgain
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2
votes
1 answer
Optuna pruning for validation loss
I introduced the following lines in my deep learning project in order to early stop when the validation loss has not improved for 10 epochs:
if best_valid_loss is None or valid_loss < best_valid_loss:
best_valid_loss = valid_loss
counter = 0…

Panertoĸ
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2
votes
0 answers
R XGBoost early stopping by
Below I have code, in which I am trying to train an XGBoost model in R that early stops after a given number of rounds early_stopping_rounds without improvement.
watchlist <- list(train=dtrain, test=dtest)
param <- list(
objective =…

MJimitater
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2
votes
0 answers
How to control n_estimators from XGBoost across all cross validation folds
I am tunning the parameters of a XGBoost Regressor using a custom cross validation method. One of the parameters that I am using is the number of trees (n_estimators) and I am also using early_stopping_rounds so the training can stop.
The problem is…
2
votes
1 answer
Keras Tuner error: All callbacks used during a search should be deep-copyable
I am having difficulties applying any callbacks to Keras Tuner hyperparameter optimsier objects. Here is the code I run:
from keras.callbacks import TensorBoard, EarlyStopping
%load_ext tensorboard
BATCH_SIZE = 32
time_stamp =…

ConsistentC
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2
votes
2 answers
Early stopping based on AUC
I am fairly new to ML and am currently implementing a simple 3D CNN in python using tensorflow and keras. I want to optimize based on the AUC and would also like to use early stopping/save the best network in terms of AUC score. I have been using…

Sarah2020
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2
votes
1 answer
Early Stop callback in keras
How can one effectively stop the fit process of a training model via callback in keras? Thus far I have tried various approaches including the one below.
class EarlyStoppingCallback(tf.keras.callbacks.Callback):
def __init__(self, threshold):
…

Imago
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