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关于uie模型的介绍中对于情感倾向分析的分类只有[正向,负向],请问可以增加其分类吗?比如设置成[开心,生气,伤心,喜欢,厌恶,恐惧,惊讶]这种较细粒度的分类。 如果可以的话需要调整哪些部分的代码呢?还是只需要在构建数据集时增加options参数呢? 如果是的话,是否只需要运行 python doccano.py --doccano_file ./data/doccano_cls.json --task_type cls --save_dir ./data --splits 0.8 0.1 0.1 --schema_lang ch --options "伤心" "开心" "厌恶" "喜欢" "生气" "惊讶" "恐惧" 后续微调步骤不变?
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不建议这么做,直接用分类就好了,哈哈哈哈哈
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这个微调任务不是就是一个分类任务嘛,直接用分类应该咋搞呢,小白不太懂
不建议这么做,直接用分类就好了,哈哈哈哈哈 这个微调任务不是就是一个分类任务嘛,直接用分类应该咋搞呢,小白不太懂
严格来说,这个是抽取任务,会抽空,或者抽出来多个
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请提出你的问题
关于uie模型的介绍中对于情感倾向分析的分类只有[正向,负向],请问可以增加其分类吗?比如设置成[开心,生气,伤心,喜欢,厌恶,恐惧,惊讶]这种较细粒度的分类。
如果可以的话需要调整哪些部分的代码呢?还是只需要在构建数据集时增加options参数呢?
如果是的话,是否只需要运行
python doccano.py
--doccano_file ./data/doccano_cls.json
--task_type cls
--save_dir ./data
--splits 0.8 0.1 0.1
--schema_lang ch
--options "伤心" "开心" "厌恶" "喜欢" "生气" "惊讶" "恐惧"
后续微调步骤不变?
The text was updated successfully, but these errors were encountered: