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你好,想请问在model_fn对验证集定义评估指标的时候,选择的label_list下标是: indices = [2, 3, 4, 5, 6, 7] 可是在NERProcessor中对应的标签是: ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "X", "[CLS]", "[SEP]"],能够帮忙解释一下吗?
indices = [2, 3, 4, 5, 6, 7]
The text was updated successfully, but these errors were encountered:
意思就是仅评估B-PER、I-PER、B-ORG、I-ORG、B-LOC、I-LOC这些指标是否正确
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你好,想请问在model_fn对验证集定义评估指标的时候,选择的label_list下标是:
indices = [2, 3, 4, 5, 6, 7]
可是在NERProcessor中对应的标签是:
["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "X", "[CLS]", "[SEP]"],能够帮忙解释一下吗?
The text was updated successfully, but these errors were encountered: