报错 “main.py: error: the following arguments are required:”
1.首先查看报错信息
如图下图所示
main.py: error: the following arguments are required: --task, --dataset, --paradigm
大致是说我设置的三个参数task, dataset, paradigm有问题
找到设置参数的地方， 发现这三个参数都有required=True这个属性
parser.add_argument("--task", default='uabsa', type=str, required=True,
help="The name of the task, selected from: [uabsa, aste, tasd, aope]")
parser.add_argument("--dataset", default='rest14', type=str, required=True,
help="The name of the dataset, selected from: [laptop14, rest14, rest15, rest16]")
parser.add_argument("--model_name_or_path", default='t5-base', type=str,
help="Path to pre-trained model or shortcut name")
parser.add_argument("--paradigm", default='annotation', type=str, required=True,
help="The way to construct target sentence, selected from: [annotation, extraction]")
2.解决方法
方法1:
1.Run–>Edit Configurations
2.main.py(相应的报错文件)， Parameters 填入 对应的--task "uabsa" --dataset "rest14" --paradigm "annotation",这里是报错的参数和相应的默认值
例如我这里 –task 的 default为 “uabsa”, 注: 是双引号而不是单引号， 单引号可能会出现问题 填入之后点击ok 就没有问题了
方法2: 如是使用方法一和其他方法不管用(简单粗暴，但是不建议)
找到设置的代三个变量代码中 将 required=True 删除即可
最初
parser.add_argument("--task", default='uabsa', type=str, required=True,
help="The name of the task, selected from: [uabsa, aste, tasd, aope]")
parser.add_argument("--dataset", default='rest14', type=str, required=True,
help="The name of the dataset, selected from: [laptop14, rest14, rest15, rest16]")
parser.add_argument("--model_name_or_path", default='t5-base', type=str,
help="Path to pre-trained model or shortcut name")
parser.add_argument("--paradigm", default='annotation', type=str, required=True,
help="The way to construct target sentence, selected from: [annotation, extraction]")
删除之后
parser.add_argument("--task", default='uabsa', type=str,
help="The name of the task, selected from: [uabsa, aste, tasd, aope]")
parser.add_argument("--dataset", default='rest14', type=str,
help="The name of the dataset, selected from: [laptop14, rest14, rest15, rest16]")
parser.add_argument("--model_name_or_path", default='t5-base', type=str,
help="Path to pre-trained model or shortcut name")
parser.add_argument("--paradigm", default='annotation', type=str,
help="The way to construct target sentence, selected from: [annotation, extraction]")
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