Add Metaheac model #788
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Add Metaheac model #788
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yinhaofeng
reviewed
Jun 7, 2022
| runner: | ||
| train_data_dir: "./data/train" | ||
| train_reader_path: "reader_train" # importlib format | ||
| use_gpu: True |
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demo数据需要使用cpu，方便没有gpu机器的用户体验
| epochs: 1 | ||
| print_interval: 100 | ||
| #model_init_path: "output_model_esmm/2" # init model | ||
| model_save_path: "output_model_esmm" |
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保存路径和加载路径需要换成自己模型名字，然后全量数据后面要加“_all”以和demo数据的保存路径区分
| epochs: 1 | ||
| print_interval: 100 | ||
| #model_init_path: "output_model_esmm/2" # init model | ||
| model_save_path: "output_model_esmm" |
| return metrics_list, metrics_list_name | ||
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| # construct train forward phase | ||
| def train_forward(self, dy_model, metric_list, batch, config): |
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| ## 快速开始 | ||
| 本文提供了样例数据可以供您快速体验，在任意目录下均可执行。在MetaHeac模型目录的快速执行命令如下： | ||
| ```bash |
models/multitask/metaheac/readme.md
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| !python -W ignore -u ../../../tools/trainer.py -m config.yaml | ||
| # 动态图预测 | ||
| # step2： infer 此时test数据集为hot | ||
| !python -W ignore -u ../../../tools/infer_meta.py -m config.yaml |
models/multitask/metaheac/readme.md
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| ``` | ||
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| ## 模型组网 | ||
| 模型整体结构如下： |
| |:------|:-------| :------ | :------| :------ | | ||
| | MetaHeac | 0.7112 | 1024 | 1 | 3个小时左右 | | ||
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| ```bash |
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非AI Studio的notebook环境，可以不加“！”等符号
models/multitask/metaheac/readme.md
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| # step2： infer 此时test数据集为hot | ||
| !python -W ignore -u ../../../tools/infer_meta.py -m config.yaml | ||
| # step3：修改config文件中test文件的路径为cold | ||
| # !python -W ignore -u ../../../tools/infer_meta.py -m config.yaml |
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这里需要对infer_meta.py有更详细的说明，然后路径为cold和hot的区别需要在readme中写明
tools/infer_meta.py
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| dy_model.clear_gradients() | ||
| loss.backward() | ||
| optimizer.step() | ||
| # 对每个子任务进行测试 |
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可以将元学习专属infer的作用和使用方式更新到tools目录下的readme中，方便其他用户快速看动
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已在metaheac目录下readme.md中添加相应说明
yinhaofeng
reviewed
Jun 7, 2022
PR Add new model metaheac;
frankwhzhang
previously approved these changes
Jun 15, 2022
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PR
Add new model metaheac;
Add new tools infer_meta.py;