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Questions tagged [early-stopping]

75 questions
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Early stopping for lightgbm not working when RMSLE is the eval metric

I am trying to train a lightgbm ML model in Python using rmsle as the eval metric, but am encountering an issue when I try to include early stopping. Here is my code: import numpy as np import pandas as pd import lightgbm as lgb from…
ronster1000
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XGBoost: Early stopping on default metric, not customized evaluation function

I am using XGBoost 0.90. I wish to train a XGBoost regression models, with Python, using a built-in learning objective with early stopping on a built-in evaluation metric. Easy. In my case the objective is 'reg:tweedie' and the evaluation metric is…
Geir Inge
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How to break the Word2vec training from a callback function?

I am training a skipgram model using gensim word2vec. I would like to exit the training before reaching the number of epochs passed in the parameters based on a specific accuracy test in a different set of data in order to avoid the overfitting of…
Johnathas
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Why doesn't restore_best_weights=True update results?

I found that restore_best_weights=True does not actually restore the best behavior. A simplified example with some dummy data: import numpy as np from tensorflow.keras.utils import set_random_seed from tensorflow.keras.models import Sequential from…
Michel de Ruiter
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Keras early stop callback never stops

I am trying to train a model to predict from images 21 different categories. The proposed model is as follows: model = Sequential() model.add(Resizing(32,32,…
Adrián Valls Carbó
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EarlyStopping custom callback to stop training if validation metric goes up/down after certain number of training steps

I want to stop the model using a custom callback if the val_accuracy is reducing after a certain number of steps (steps here mean training_examples/batch_size). Here's my first attempt which works but doesn't actually stop the model training: class…
mank
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Keras LSTM training early stopping : restore best weights

I am trying to train an LSTM network and am using the callbacks module of Keras for early stopping. Sample code is as below: callback = tensorflow.keras.callbacks.EarlyStopping(monitor='loss', min_delta=0.0001, patience=7, mode='min',…
ayps
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Keras is saving the wrong epoch with early stopping

I was wondering if anyone else has seen this happen with Keras recently. In the first screenshot, early stopping is triggered (I set patience to be 2 to demonstrate my point) and the best was epoch 4 with a loss of 0.0898. However, when I next run…
ayc
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LGBMClassifier roc_auc problem using gridSearchCV and early_stopping via BaseEstimator

i want to integrate an LGBMClassifier to existing code. the code call fit(X,y), while LGBMClassifier will need fit(X, y, eval_set, callbacks, eval_metric). i'm trying to encapsulate eval_set, callbacks, eval_metric in a BaseEstimator to expose a…
silvyan
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Scipy Optimization Algorithms: Early stopping

I want to know how to trigger early stopping for scipy optimization algorithms like differential evolution, dual annealing, and basin hopping. I know you can call a callback function that returns True or False, but, I wanted to know how to trigger…
Amanda George
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Will XGBoost early stopping stop after marginal improvements?

I know that early stopping will happen if we don't have any improvement (or drop in performance) in the last X rounds. i.e. we need at least one round in the last X with little improvement, in order to continue. But I read…
Boom
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EarlyStopping , differnet loss fuction for Training set and Validation set

I'm using a CNN based on Unet Architecture , With one input and two outputs:(b(array),C13(Image)), and I would like to apply Earlystopping on my validation data using a different loss function(Dice_loss) compared to Training set one (Shape_loss). I…
Emilio95
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Light GBM Value Error: ValueError: For early stopping, at least one dataset and eval metric is required for evaluation

Here is my code. It is a binary classification problem and the evaluation criteria are the AUC score. I have looked at one solution on Stack Overflow and implemented it but did not work and still giving me an error. param_grid = { …
JUGAL SHAH
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Parallel Keras model training using python mutliprocessing

I am training on a 64 core CPU workstation multiple Keras MLP models simultaneously. Therefore I am using the Python multiprocessing pool to allocate for each CPU one model being trained. For the model being trained I am using an Early Stopping and…
Merk
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Using early stopping with SVR and grid search

I am trying to use a grid search with my SVR model, and as it takes too much time to fit I wonder if I could use the early stopping, but I don't know how to do so. Instead, I used max_iter, but still not sure of my best parameters. Any suggestion?…
Ibtissam
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