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This is bert base tuned with optimal lr, lr scheduler and weight decay on dnd-style-intents dataset.

parametrs value
learning rate 1.3e-4
lr scheduler constant
weight decay 7e-2

Model has next metrics on test data from dataset

metric value
accuracy 0.978
Macro F1 0.977
Micro F1 0.978
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Model size
108M params
Tensor type
I64
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F32
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Dataset used to train neurae/bert-dnd-intents