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Context-aware DeepFM not learning #2046
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Hi! Maybe I can help here: have you tried setting From pytorch Additionally, your model inherits from |
Hey! Thank you fro your prompt reply! I thought that any context-aware algorithm could just use any pre-trained embedding as described in the doc, but a quick experiment with and without those embedding gave the exact same metric results, so I guess you're right and I should dive deeper into the OG code😅, or just choose for a different algorithm. Thank you so much!! |
Hello!
I'm trying to run DeepFM with a custom subsample of the MIND dataset.
My files are:
-mind_small15.inter
-mind_small15.itememb
-mind_small15.useremb
I have very limited computing power, therefore I interrupted the training once I realized the model was not learning. Hereunder the validation score of the first two epochs. As you can see every evaluation gets worse. Any suggestion on what I might be doing wrong? Or is the model just too complex for my data (user and item embedding are TF-IDF of news titles)?
Any help is much appreciated,
Thank you in advance.
my model:
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