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Jul 24 2009 nbsp 0183 32 quot Katherine went to five training sessions a week before the triathlon quot is possible but not quot Katherine went to five trainings a week quot Personally I would just say quot Katherine trained five times a week quot Maybe whether or not quot training quot is a count or non count noun comes down to semantic distinctions between different types of training
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My Validation Loss Is Too Much Higher Than The Training Loss Is That
My Validation Loss Is Too Much Higher Than The Training Loss Is That Apr 14 2022 nbsp 0183 32 Not always but many times whenever you have better training metrics than validation metrics lower training loss higher training accuracy it is indicative of some level of overfitting because the model essentially quot memorized quot some portion of the training data and it is not generalizing well to data it has not seen before
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Jun 12 2023 nbsp 0183 32 My goal is to use the general knowledge and language understanding of a pre trained LLM and to continue training on a smaller domain specific corpus to improve the model s knowledge on the domain Further Training A Pre trained LLM Data Science Stack Exchange. Dec 9 2020 nbsp 0183 32 I am really new to Neural Networks and I am training a CNN for image classification and while training I get the following which tells me the training loss and accuracy and validation loss and accuracy soemone please correct me if i am wrong Perhaps your training and validation set are the same or maybe your computation of the metrics is accidentally reusing values from the other set Please share your code
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