| | ---
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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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| |
|
| | # Start the configuration
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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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| |
|
| | Results files should have the following format and be stored as json files:
|
| | ```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` |
