Questions tagged [early-stopping]
75 questions
0
votes
2 answers
Best model weights in neural network in case of early stopping
I am training a model with the following code
model=Sequential()
model.add(Dense(100, activation='relu',input_shape=(n_cols,)))
model.add(Dense(100,…

jyotiska
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1 answer
Keras LSTM - Why my Earlystopping function didn't work?
I am new to deep learning and Keras, and try to make my model classification more accurate. Because there are only 75 data, so I separated 60 for training & 15 for validation (80/20), so it's easy to overfitting. I have tried to add more layers,…

a422901
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Is there a way of keeping track of when the model would early stop without actually early stopping?
I am doing an experiment where I need to keep track of when the model would eventually early stop, but without actually early stopping training. Why? Because I need to analyze how the model would actually behave after starting to apparently…

nbro
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1 answer
restore_best_weights issue Keras EarlyStopping
I am trying to use Keras EarlyStopping however whenever I try to use restore_best_weights it comes up with an error:
_init_() got an unexpected keyword argument 'restore_best_weights'
I am using the most up to date Keras so I'm really unsure why…
0
votes
2 answers
TextWatcher shuts down my application after starting up
My app keeps crashing since I started using a TextWatcher...
As you can see below i made a TextWatcher to 3 EditText fields...
And i made a button which listens to the 3 EditText..
If they are empty the button become disabled.
When the fields are…

Ebekoy
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0
votes
1 answer
gensim LDAModel early stopping
Gensim LDAModel has parameters iterations and passes to control the number of training epochs, and callbacks to get information about convergence, but is there a possibility to stop the training when difference between two epochs is very small i.e.…

hellpanderr
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1 answer
lightgbm does not retain the best model when using early stopping - Python 3.7
I am confused why lightgbm is not retaining the best model when I implement early stopping.
My code is here:
params = {'num_leaves': 31,
'class_weight' : 'balanced',
'max_depth': -1,
'learning_rate': 0.1,
'n_estimators': 1000,
…

user8270077
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0 answers
EarlyStopping (keras) not working when placed inside a method
EarlyStopping does not work when placed inside a method.
EarlyStopping does not work when running:
def model_training():
# model, train_images, val_images, train_labels, val_images DEFINED HERE
train_it =…

Filip
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2 answers
What would be a good point to stop training?
Here is my loss and accuracy after each epoch. It's a sequence-to-sequence model with 4 input and output tokens.
enter image description here
If I were to implement early stopping, where would I stop training? Dev loss and accuracy haven't yet…

mdurrant
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0
votes
1 answer
TypeError when trying to use EarlyStopping with f1-metric as stopping criterion
I want for training a CNN with Early Stopping and want to use the f1-metric as stopping criterion.
When I compile the code for the CNN model I get the a TypeError as error message.
I'm still using Tensorflow 1.4 would like to avoid an upgrade to…

Code Now
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votes
0 answers
ValueError: Classification metrics can't handle a mix of binary and continuous targets for early stopping rounds lgbm and custom metrics
I need to test a custom metrics on a early stoppinig rounds for LGBM Classifier and I have this error :
ValueError: Classification metrics can't handle a mix of binary and continuous targets
Description of the set :
My Y_train is a 0 or 1 and I…

Rocheteau
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-1
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 overwritten. If filepath doesn't contain formatting options like…

Panda
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votes
1 answer
Earlystopping not working for deep learning model
adam = tf.keras.optimizers.Adam(learning_rate = 0.0001, beta_1 = 0.9, beta_2 = 0.999, amsgrad = False)
my_model.compile(loss = "categorical_crossentropy", optimizer = adam , metrics = ['accuracy'])
earlystopping = EarlyStopping(monitor =…

Krishna Sahu
- 11
-2
votes
1 answer
While (true) loop randomly stopps
First of all, I'm quite new to coding and I have to admit I've taken on quite a big task. So please be mindful that the code will not be written optimally at all.
Ok, so my problem is that if I run my code in Visual Studio it just stops after some…

FloatyBoi
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-3
votes
1 answer
How to get early stopping for lasso regression
I have a problem. Is there an option to get early stopping? Because I saw on a plot that I get Overfitting after a while, so I want to get the most optimal.
dfListingsFeature_regression =…

Test
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