Update tutorial artifacts for braindecode/plot_bcic_iv_2a_eegprep_cleaning

README.md

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+# plot_bcic_iv_2a_eegprep_cleaning
+
+Pretrained artifacts for the Braindecode tutorial `examples/model_building/plot_bcic_iv_2a_eegprep_cleaning.py`.
+
+These files are meant to be loaded by the tutorial so the docs can show stable predictions without retraining the model from scratch.
+
+## Stored files
+
+- `params.safetensors`: classifier parameters
+- `history.json`: Skorch training history used by the tutorial plots
+- `metadata.json`: summary metrics for the stored checkpoint

history.json

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metadata.json

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+{
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+  "display_metric_key": "best_valid_accuracy",
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+  "display_split_name": "held-out session",
+  "epochs_ran": 20,
+  "epochs_requested": 20,
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+  "short_run_epochs": 4,
+  "subject_id": 3,
+  "tutorial": "plot_bcic_iv_2a_eegprep_cleaning"
+}

params.safetensors

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