Questions tagged [early-stopping]
75 questions
1
vote
1 answer
How to stop training based on loss when using Pre-trained model and Configuration file?
I am using a Faster RCNN model to train an object detector, using the Pipeline configuration file. I know that training can be stopped by simply cancelling directly (ctrl+c).
I want the training to stop automatically based on Loss value. How can…

Ameya Manas
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1
vote
1 answer
Imposing floor on the number of boosting rounds when using early stopping?
During hyperparameter optimization of a boosted trees algorithm such as xgboost or lightgbm, is it possible to directly control the minimum (not just the maximum) number of boosting rounds (estimators/trees) when using early stopping? This need is…

mirekphd
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1
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2 answers
Use early stopping - gridsearchcv - kerasregressor
This is my question: How can I use early stopping in my code? Which part should I put it?
callbacks=[tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=10,mode="auto")]
My code:
numpy.random import seed
seed(1)
def…

Shadi Mohebbi
- 11
- 2
1
vote
1 answer
Keras EarlyStopping settings
I have built a common Unet to train my own dataset by using Keras. I have set the EarlyStopping option as follows. However, during training, it keeps prompt out the precision value dis not change but in the next line, it is apparently changing. Has…

M. Dai
- 11
- 1
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vote
0 answers
deep learning early stopping callback strange behavior in a loop
I'm testing sequential models accuracy in a loop including an early stopping callback.
My environment is
tensorflow 2.1.0 gpu_py37h7a4bb67_0
tensorflow-base 2.1.0 gpu_py37h6c5654b_0
tensorflow-estimator …

nnoel
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- 2
0
votes
0 answers
Using callback_early_stopping for sequential model with loss = "mse" in R
I am training a time series model using sequential model the code is as below:
model <- keras_model_sequential() %>%
layer_lstm(units = 10,
batch_input_shape = c(1, pq, 1),
stateful = TRUE) %>%
layer_dense(units = 1,…

sehne
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0
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1 answer
LGBMClassifier.fit() got an unexpected keyword argument 'early_stopping_rounds'
I am trying to run the following Collab file : https://colab.research.google.com/github/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_07_5_tabular_synthetic.ipynb . It generates fake data but does not work!
All the previous cells in…

user22113644
- 23
- 3
0
votes
1 answer
Validation loss and early stopping in an LSTM Model for Multivariate time series forecasting in PyTorch
This is my first attempt to train an LSTM model to predict oil prices, following some tutorials.
My dataset:
Date
USD Index
Oil Price
12-10-2019
50
66
13-10-2019
51
60
where the Oil price is the target column.
Sequences size= 7 and…

Mhmd Rokaimi
- 27
- 6
0
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0 answers
How can we implement early stopping in tensorflow 2 object detection API?
Basically tfod2 is used for transfer learning in object detection use case, but in this repository there is no any mentioning about early stopping or how to implement it
I gone through model_main_tf2.py and lib.py files but there is no any…

Saurabh Deshmane
- 1
- 1
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votes
0 answers
Implemention of early stopping with gradient descent
I am developing an algorithm based on gradient descent and I would like to add early stoping regularization. I have an objectif function,F, and I minimize it with respect to W.
This is given in the code below:
Data : X_Train, Y_Train
t=1;
while (t…

ZchGarinch
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0 answers
Return keyword inside the inline function in Scala
I've heard about to not use Return keyword in Scala, because it might change the flow of the program like;
// this will return only 2 because of return keyword
List(1, 2, 3).map(value => return value * 2)
Here is my case; I've recursive case…

sparkless
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1 answer
save the best model based on criteria in custom_training loop
I wrote a custom training loop following the tensorflow tutorials. Anyway its training and it produces output as
Start of epoch 0
Training loss (for one batch) at step 0: 15.9249
Seen so far: 16 samples
Training loss (for one batch) at step 2:…

pro
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0
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0 answers
Early stopping in XGBoost classification and RandomizedSearchCV
When I try to combine RandomSearch with the early stopping method to reduce the overfitting, I get this error:
py:372: FitFailedWarning:
300 fits failed out of a total of 300.
The score on these train-test partitions for these parameters will be…

Sara
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0 answers
Is early stopping happening for turi-create one_shot_object_detector? if so how to configure it?
I am training an object detector using apple's turi-create.
The steps I am following is very similar to what is in the documentaion from apple- https://apple.github.io/turicreate/docs/userguide/one_shot_object_detection/
we could pass the…

Jithin P James
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0
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1 answer
force early exit in SCIP branch-and-bound
When using custom branching or node selection rules in SCIPopt, is it possible to force an immediate exit of the branch-and-bound search once a certain known solution is found? I want to say that a specific node is the solution that I want to take,…

Brannon
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