update workflow settings

.github/workflows/ec2-pipeline.yml

@@ -21,11 +21,12 @@ jobs:
           --cloud-hdd-size=64 \
           --cloud-spot \
           --single \
-          --labels=cml-gpu
+          --labels=cml-gpu \
+          --idle-timeout=100
   train-and-report:
     runs-on: [self-hosted, cml-gpu]
     needs: launch-runner
-    timeout-minutes: 50400 # 35 days
+    timeout-minutes: 20
     container:
       image: docker://iterativeai/cml:0-dvc2-base1-gpu
       options: --gpus all
@@ -61,3 +62,11 @@ jobs:
               dvc pull -r myremote && \
               dvc repro train
             "
+      - name: Cleanup
+        if: always()  # This ensures it runs even if previous steps fail
+        env:
+          REPO_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
+          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        run: |
+          cml runner destroy --name=session-08 --cloud=aws