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models/recall/mind/README.md
@@ -105,7 +105,7 @@ python -u static_infer.py -m config.yaml -top_n 50 #对测试数据进行预测
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在全量数据下模型的指标如下:
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| 模型 | batch_size | epoch_num| Recall@50 | NDCG@50 | HitRate@50 |Time of each epoch |
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| :------| :------ | :------ | :------| :------ | :------| :------ |
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-| mind | 128 | 20 | 8.43% | 13.28% | 17.22% | -- |
+| mind | 128 | 20 | 8.43% | 13.28% | 17.22% | 398.64s(CPU) |
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1. 确认您当前所在目录为PaddleRec/models/recall/mind
@@ -116,7 +116,7 @@ sh run.sh
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```
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3. 安装依赖,我们使用[faiss](https://github.com/facebookresearch/faiss)来进行向量召回
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```bash
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-#CPU-only version(pip)
+# CPU-only version(pip)
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pip install faiss-cpu
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# GPU(+CPU) version(pip)
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