•1 min read•from Financial Modeling
Training a number-aware embedding model + Text JEPA doesn't work too well + Text auto-encoders have a strange frequency bias [R][P]
![Training a number-aware embedding model + Text JEPA doesn't work too well + Text auto-encoders have a strange frequency bias [R][P]](/_next/image?url=https%3A%2F%2Fexternal-preview.redd.it%2FR-C3abSAm8qbFESapr4PnpWxqpxF6yT6NQ1beBpTdYE.png%3Fwidth%3D640%26crop%3Dsmart%26auto%3Dwebp%26s%3Da2cfe0f7d0261534e0628fce40d745993f127626&w=3840&q=75)
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Tagged with
#rows.com
#embedding model
#number-aware
#Text JEPA
#auto-encoders
#frequency bias
#training
#machine learning
#deep learning
#model evaluation
#text representation
#feature extraction
#data preprocessing
#neural networks
#parameter tuning
#algorithm performance
#contextual embeddings
#dataset
#overfitting
#training epochs