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我只使用了一条数据如下(Only 1 example to train dev and test): {"sentence": ["网上车市从布鲁克斯自动化公司官方获悉,布鲁克斯自动化公司全新蓝河正式发布。"], "s_start": 0, "ner": [[[5, 14, "CompanyName"], [19, 28, "CompanyName"], [30, 32, "Product"]]], "event": [[[32, 36, "NewService.正式发布"], [5, 14, "CompanyName"], [19, 28, "CompanyName"], [30, 32, "Product"]]]}
test结果如下(Test Result): [["NewService.正式发布_Product", [30, 32]]]
参数如下(args): batch_size = 4 epoch = 0 f1_c = 50.0 f1_i = 50.0 global_step = 36 learning_rate = 1e-06 prec_c = 100.0 prec_i = 100.0 recall_c = 33.333333333333336 recall_i = 33.333333333333336
The text was updated successfully, but these errors were encountered:
可能是量太少了吧,毕竟一共就三个待预测的标签
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我只使用了一条数据如下(Only 1 example to train dev and test):
{"sentence": ["网上车市从布鲁克斯自动化公司官方获悉,布鲁克斯自动化公司全新蓝河正式发布。"], "s_start": 0, "ner": [[[5, 14, "CompanyName"], [19, 28, "CompanyName"], [30, 32, "Product"]]], "event": [[[32, 36, "NewService.正式发布"], [5, 14, "CompanyName"], [19, 28, "CompanyName"], [30, 32, "Product"]]]}
test结果如下(Test Result):
[["NewService.正式发布_Product", [30, 32]]]
参数如下(args):
batch_size = 4
epoch = 0
f1_c = 50.0
f1_i = 50.0
global_step = 36
learning_rate = 1e-06
prec_c = 100.0
prec_i = 100.0
recall_c = 33.333333333333336
recall_i = 33.333333333333336
The text was updated successfully, but these errors were encountered: