Update tutorial artifacts for braindecode/bcic_iv_4_ecog_trial

README.md

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+# bcic_iv_4_ecog_trial
+
+Pretrained artifacts for the Braindecode tutorial `examples/applied_examples/bcic_iv_4_ecog_trial.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

metadata.json

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+{
+  "best_valid_pearson_r": 0.20244073678902494,
+  "best_valid_r2": -0.06078922748565674,
+  "display_metric_as_percentage": false,
+  "display_metric_key": "test_mean_pearson_r",
+  "display_metric_name": "mean Pearson r",
+  "display_split_name": "held-out test session",
+  "epochs_ran": 20,
+  "epochs_requested": 100,
+  "final_valid_pearson_r": 0.16736542059210185,
+  "final_valid_r2": -0.11875498294830322,
+  "patience": 10,
+  "reference_recording_scope": "whole recording",
+  "reference_uses_full_recordings": true,
+  "short_run_epochs": 2,
+  "subject_id": 1,
+  "test_mean_pearson_r": 0.1815274497883351,
+  "test_pearson_r_per_dim": [
+    0.1815274497883351
+  ],
+  "tutorial": "bcic_iv_4_ecog_trial"
+}

params.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4502aade954e7a7b7ac8a480dd8eaae0561c1c3c191e4e42922f310c58ab4376
+size 412236