Update tutorial artifacts for braindecode/plot_sleep_staging_eldele2021

README.md

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+# plot_sleep_staging_eldele2021
+
+Pretrained artifacts for the Braindecode tutorial `examples/applied_examples/plot_sleep_staging_eldele2021.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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+  "chance_level": 0.2,
+  "display_metric_key": "best_valid_bal_acc",
+  "display_metric_name": "balanced accuracy",
+  "display_split_name": "held-out recording",
+  "epochs_ran": 21,
+  "epochs_requested": 100,
+  "final_valid_bal_acc": 0.3171428571428571,
+  "patience": 20,
+  "short_run_epochs": 3,
+  "tutorial": "plot_sleep_staging_eldele2021"
+}

params.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:01f2fa95fc88841df081c8e27b80b71f924e2541981f0bf8b068dd971f5ff7d3
+size 2235349