UNet1DModel loss plateauing at ≃0.5. How to fix time blindness when training on sequential data. #107
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| name: Issue Labeler | |
| on: | |
| issues: | |
| types: [opened] | |
| permissions: | |
| contents: read | |
| issues: write | |
| jobs: | |
| label: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 | |
| - name: Install dependencies | |
| run: pip install huggingface_hub | |
| - name: Get labels from LLM | |
| id: get-labels | |
| env: | |
| HF_TOKEN: ${{ secrets.ISSUE_LABELER_HF_TOKEN }} | |
| ISSUE_TITLE: ${{ github.event.issue.title }} | |
| ISSUE_BODY: ${{ github.event.issue.body }} | |
| run: | | |
| LABELS=$(python utils/label_issues.py) | |
| echo "labels=$LABELS" >> "$GITHUB_OUTPUT" | |
| - name: Apply labels | |
| if: steps.get-labels.outputs.labels != '' | |
| env: | |
| GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| ISSUE_NUMBER: ${{ github.event.issue.number }} | |
| LABELS: ${{ steps.get-labels.outputs.labels }} | |
| run: | | |
| for label in $(echo "$LABELS" | python -c "import json,sys; print('\n'.join(json.load(sys.stdin)))"); do | |
| gh issue edit "$ISSUE_NUMBER" --add-label "$label" | |
| done |