Comments (3)
emfomy
commented on June 28, 2024
訓練標記可以是其他的值，像 NER 的 Label 就有 B-PRODUCT, I-PRODUCT（詳見 https://huggingface.co/ckiplab/bert-base-chinese-ner/blob/main/config.json#L11）
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KuoFengYu
commented on June 28, 2024
你好，謝謝回答
那我看 https://huggingface.co/ckiplab/bert-base-chinese-ws/blob/main/config.json ，
bert-base-chinese-ws訓練資料標記只有B與I (再先前也有人提問過的issue中的回答)，那針對訓練資料中非實體的"O" 的部份需要怎麼處理，會是直接將O的部分拿掉嗎?
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emfomy
commented on June 28, 2024
bert-base-chinese-ws 是斷詞而非實體辨識模型，所以訓練標記中沒有 "O" 的部分。
請根據你的資料性質選擇適合的模型訓練。
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