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retraining the pre-trained model with new data and decreasing the model success with each training

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I have BraTS2020 dataset and I want to train my UNet model with it. Although I use Colab Pro, I cannot work with all data on Colab due to RAM limitation.

I divided the data into 4 parts and continued to retrain my saved model with each part. But with each new piece of data, the model's success decreased. Is there another way I can use all the data to increase the success of the model?

python google-colaboratory image-segmentation training-data pre-trained-model
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