!3218 Move mass and fasterrcnn to new model zoo directory.

Merge pull request !3218 from linqingke/mass

model_zoo/official/cv/faster_rcnn/README.md

@@ -139,4 +139,4 @@ Inference result will be stored in the example path, whose folder name is "infer
  Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.346
  Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.562
  Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.631
-```
+```

model_zoo/official/nlp/mass/README.md

@@ -548,7 +548,7 @@ Run the shell script `run.sh` as followed:
 ```bash
 sh run.sh -t t -n 1 -i 1 -c /mass/config/config.json
 ```
-Get the log and output files under the path `./run_mass_*/`, and the model file under the path assigned in the `config/config.json` file.
+Get the log and output files under the path `./train_mass_*/`, and the model file under the path assigned in the `config/config.json` file.
 
 ## Fine-tuning
 For fine-tuning a model, config the options in `config.json` firstly:
@@ -562,7 +562,7 @@ Run the shell script `run.sh` as followed:
 ```bash
 sh run.sh -t t -n 1 -i 1 -c config/config.json
 ```
-Get the log and output files under the path `./run_mass_*/`, and the model file under the path assigned in the `config/config.json` file.
+Get the log and output files under the path `./train_mass_*/`, and the model file under the path assigned in the `config/config.json` file.
 
 ## Inference
 If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorial/zh-CN/master/advanced_use/network_migration.html).