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labse-attention-pooling-polarization – AI Model by RaspberryVitriol | AlphaNeural AI
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labse-attention-pooling-polarization
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safetensors
bert
text-classification
multilingual
polarization-detection
labse
apache-2.0
us
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LaBSE Attention Pooling Polarization Classifier
This model is based on LaBSE with attention pooling and multi-layer concatenation for polarization classification.
Model Architecture
Base Model: setu4993/LaBSE
Pooling: Attention pooling (instead of mean pooling)
Layers: Last 6 layers pooled and concatenated
Classifier: 3 hidden layers with sizes [512, 256, 128]
Training
Languages: 22 languages
Max Length: 128
Batch Size: 64
Learning Rate: 2e-05
