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121121### 语句和句对分类任务
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123- 对于 [ GLUE 数据] ( https://gluebenchmark.com/tasks ) ,请运行这个[ 脚本] ( https://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e ) 予以下载; 对于 XNLI 任务,则需分别下载 [ XNLI dev/test set] ( https://s3.amazonaws. com/xnli/ XNLI-1.0.zip ) 和 [ XNLI machine-translated training set ] ( https://s3.amazonaws. com/xnli /XNLI-MT-1.0.zip ) ,然后解压到同一个目录。以 XNLI 任务为例,启动 Fine-tuning 的方式如下:
123+ 对于 [ GLUE 数据] ( https://gluebenchmark.com/tasks ) ,请运行这个[ 脚本] ( https://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e ) 予以下载; 对于 XNLI 任务,则需分别下载 [ XNLI dev/test set] ( https://bert-data.bj.bcebos. com/XNLI-1.0.zip ) 和 [ XNLI machine-translated training set] ( https://bert-data.bj.bcebos. com/XNLI-MT-1.0.zip ) ,然后解压到同一个目录。以 XNLI 任务为例,启动 Fine-tuning 的方式如下:
124124
125125``` shell
126126export FLAGS_enable_parallel_graph=1
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