| ---
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| title: UnlearnDiffAtk Benchmark
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| emoji: 🥇
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| colorFrom: green
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| colorTo: indigo
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| sdk: gradio
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| app_file: app.py
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| pinned: true
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| license: apache-2.0
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| ---
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|
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| # Start the configuration
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|
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| Most of the variables to change for a default leaderboard are in `src/env.py` (replace the path for your leaderboard) and `src/about.py` (for tasks).
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|
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| Results files should have the following format and be stored as json files:
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| ```json
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| {
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| "config": {
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| "model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
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| "model_name": "path of the model on the hub: org/model",
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| "model_sha": "revision on the hub",
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| },
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| "results": {
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| "task_name": {
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| "metric_name": score,
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| },
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| "task_name2": {
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| "metric_name": score,
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| }
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| }
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| }
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| ```
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|
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| Request files are created automatically by this tool.
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|
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| If you encounter problem on the space, don't hesitate to restart it to remove the create eval-queue, eval-queue-bk, eval-results and eval-results-bk created folder.
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|
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| # Code logic for more complex edits
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|
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| You'll find
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| - the main table' columns names and properties in `src/display/utils.py`
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| - the logic to read all results and request files, then convert them in dataframe lines, in `src/leaderboard/read_evals.py`, and `src/populate.py`
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| - teh logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py` |
