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Drop internal run notes from the model card

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  1. README.md +1 -1
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@@ -34,7 +34,7 @@ The training YAML sits in the same folder as the checkpoint. The same files are
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  `metrics.csv` is the eval test-set scalar dump for that checkpoint (`gridfm_graphkit evaluate --batch_size 512`). `splits/` are the HH-MPNN 90/5/5 index files (270k / 15k / 15k). Put them at `scripts/opfdata/splits/` when training or evaluating from [gridfm-graphkit `genco-paper-repro`](https://github.com/gridfm/gridfm-graphkit/tree/genco-paper-repro).
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- The [training and eval MLflow runs](https://huggingface.co/gridfm/genco-opfdata/tree/main/mlflow) are under `mlflow/` (params, tags, metrics, test CSVs and plots). Weights stay in `<grid>/seed*/`, not inside the run dirs. Table 5 uses the **eval** runs, not the in-training test dump.
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  ## Install
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  `metrics.csv` is the eval test-set scalar dump for that checkpoint (`gridfm_graphkit evaluate --batch_size 512`). `splits/` are the HH-MPNN 90/5/5 index files (270k / 15k / 15k). Put them at `scripts/opfdata/splits/` when training or evaluating from [gridfm-graphkit `genco-paper-repro`](https://github.com/gridfm/gridfm-graphkit/tree/genco-paper-repro).
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+ The [training and eval MLflow runs](https://huggingface.co/gridfm/genco-opfdata/tree/main/mlflow) are under `mlflow/` (params, tags, metrics, test CSVs and plots). Weights stay in `<grid>/seed*/`, not inside the run dirs. Table 5 uses the **eval** runs.
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  ## Install
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