From c850115d920ae4e9fd5b42f19b3068c15c6d227e Mon Sep 17 00:00:00 2001 From: mwang Date: Fri, 29 Jan 2021 16:59:48 +0800 Subject: [PATCH] fix readme errors of resnet_thor --- model_zoo/official/cv/resnet_thor/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/model_zoo/official/cv/resnet_thor/README.md b/model_zoo/official/cv/resnet_thor/README.md index e0f326e19d..cba50a97ef 100644 --- a/model_zoo/official/cv/resnet_thor/README.md +++ b/model_zoo/official/cv/resnet_thor/README.md @@ -180,7 +180,7 @@ We need three parameters for this scripts. - `DATASET_PATH`：the path of train dataset. - `DEVICE_NUM`: the device number for distributed train. -Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the followings in log. +Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the following in log. ```shell ... @@ -202,7 +202,7 @@ epoch: 42 step: 5004, loss is 1.6453942 sh run_distribute_train_gpu.sh [DATASET_PATH] [DEVICE_NUM] ``` -Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the followings in log. +Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the following in log. ```shell ... @@ -233,7 +233,7 @@ We need two parameters for this scripts. > checkpoint can be produced in training process. -Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the followings in log. +Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the following in log. ```shell result: {'top_5_accuracy': 0.9295574583866837, 'top_1_accuracy': 0.761443661971831} ckpt=train_parallel0/resnet-42_5004.ckpt @@ -245,7 +245,7 @@ Inference result will be stored in the example path, whose folder name is "eval" sh run_eval_gpu.sh [DATASET_PATH] [CHECKPOINT_PATH] ``` -Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the followings in log. +Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the following in log. ```shell result: {'top_5_accuracy': 0.9287972151088348, 'top_1_accuracy': 0.7597031049935979} ckpt=train_parallel/resnet-36_5004.ckpt