I have used English text classification out of the box package and was trying to train the model with only 15 training examples and it took almost 17 min to succeed training pipeline. Is it taking too olong for all, So what if we are trying to train with millions of data?
When you are starting a pipeline there is some imcompressible time for the pipeline to start, like building the image, loading pretrained model and so on. So even if you have little number of data it can take some time. That’s being said if you have millions of data I would recommend that you use a GPU.
Thanks for the clarification.
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