fine tuning Tapis stuff added

Author: Anagha Jamthe

tutorials/Fine_Tuning_Vision/01-intro-fine-tuning.md

@@ -1,4 +1,4 @@
-## Fine Tuning Vision Models Using Ultralytics and Tapis
+## Fine-Tuning Vision Models Using Ultralytics and Tapis
 
 [Lecture Slides](https://docs.google.com/presentation/d/1gykJ0awIswnAUU-qob3MnzGD_5a729RJVnMhknykeVs/edit?usp=sharing)
 
@@ -19,7 +19,7 @@ The following JSON represents the application definition that was used to regist
 {
     "id": "ultralytics-fine-tune",
     "version": "0.1",
-    "description": "An app to fine-tune ultralytics Yolo using Singularity in batch mode.",
+    "description": "An app to fine-tune ultralytics YOLO using Singularity in batch mode.",
     "jobType": "BATCH",
     "runtime": "SINGULARITY",
     "containerImage": "/work/projects/aci/cic/apps/ultralytics-fine-tune/Ultralytics_FT_Tapis_app.sif",
@@ -49,7 +49,7 @@ The following JSON represents the application definition that was used to regist
         "memoryMB": 1,
         "nodeCount": 1,
         "coresPerNode": 1,
-        "maxMinutes": 10
+        "maxMinutes": 60
     }
 }
 </code></pre>
@@ -102,7 +102,7 @@ Navigate to the **Apps** list and select the `ultralytics-fine-tune` app. Click
 ![Step 1 - Selecting the Ultralytics App in UI](/tutorials/images/Step1-Ultralyticsapp.png)
 
 ### Step 2: Edit the JSON Payload
-Paste the job JSON provided above into the editor and click `Submit`.
+Paste the job JSON provided below into the editor and click `Submit`.
 
 <div style="max-height:400px; overflow:auto; border:1px solid #ddd; padding:10px;">
 
@@ -155,19 +155,19 @@ These are specific flags passed to the Slurm scheduler on the Vista system:
 After clicking **Submit**, navigate to the **Jobs** tab. You can monitor the status as it moves from `PENDING` to `RUNNING` and finally `FINISHED`.
 
 ![Step 3 - Monitoring Job Status in the Dashboard](/tutorials/images/fine-tune-job-running.png) 
-Since we are running 100 Epochs to fine-tune, this will take around 10-12 mins to finish.
+Since we are running 100 Epochs to fine-tune, this will take around 10-12 minutes to finish.
 
 
 ### Step 4: Job Output and Results location
  Once the job finishes, you should see output similar to the image below.
  ![Step 4 - After Job completes](/tutorials/images/fine-tune-job-completion.png) 
 
- You should see a train directory with weights. Inside weights, you can access the best.pt model. This file will be accessible to you Jupyter.
+ You should see a train directory with weights. Inside the `weights` directory, you can access the `best.pt model`. This file will be accessible in Jupyter Notebook.
 
 
 ### Step 5: Finding best.pt file from Jupyter 
 
-Inside your work directory, you should see a vista folder. In there you can find the directory named with your job uuid. In the above image the job uuid is highlighted. In the job directory you will find the outputs of the job archieved with the same train directory containing the best.pt file.
+Inside your work directory, you should see a `vista` folder. In there you can find the directory named with your `jobUUID`. In the above image the job uuid is highlighted. In the job directory you will find the outputs of the job archived with the same train directory containing the best.pt file.
 `$WORK -> vista -> jobUUID -> train -> weights -> best.pt`