txt2emovec

概要

txt2emovec (txt to emotion vector)
ユーザー入力を一度ずつtxt2emovecに食わせて8要素(喜び, 悲しみ, 期待, 驚き, 怒り, 恐怖, 嫌悪, 信頼)のベクトルに変換するためのモデル
talknizer: tohoku-nlp/bert-base-japanese-whole-word-masking
dataset: ids-cv/wrime のwrime-ver1.tsv

version

v0.0: 2024/11/13: データセットがwrime-v1のみということもあり、データに偏りがあるようで、予測精度もそれなり

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Model size

111M params

Tensor type

F32

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Text Classification

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Base model

tohoku-nlp/bert-base-japanese-whole-word-masking

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