fixing small bugs in code 3

.github/workflows/docker-image.yml

@@ -17,7 +17,7 @@ jobs:
     - name: get-date
       run: echo "set-output TAG=date::$(date +%s))"
     - name: Build the Docker image
-      run: docker build . --file Dockerfile --tag aistream1/flow_sweep:latest1
+      run: docker build . --file Dockerfile --tag aistream1/flow_sweep:latest
     - name: docker-login
       run: docker login -u aistream1 -p ${{secrets.DOCKER_SEC}}
     - name: pus

README.md

@@ -1,7 +1,7 @@
 # Flow Forecast Training Dockerfiles
 This repository contains Dockerfiles needed to run Flow Forecast as a distributed Weights and Biases hyper-parameter sweep. 
 
-1. Make a sweep YAML file of the hyperparameters you want to search for on your FF model (example in the example_sweep directory)
+1. Make a sweep YAML file of the hyperparameters you want to search for on your FF model (example in the example_sweep directory). The program in the sweep file should be run_flow.py.
 2. Get your WANDB_SWEEP_ID. For this you need to run `wandb sweep --project sweeps_demo config.yaml`
 3. Make an environment file
 In your environment file there should be the following items: