Add final model card with evaluation curves and release artifacts

README.md

@@ -146,6 +146,15 @@ Hardware/runtime:
 - Transformers: `4.49.0`
 - Python: `3.12.3`
 
+## Validation curve
+
+Validation ran every `500` optimizer steps. The curve below was
+generated from the Trainer eval log and is included in this repository as
+`figures/eval_metrics.svg`; the raw curve data is included as
+`figures/eval_metrics.csv` and `figures/eval_metrics.json`.
+
+![Validation metrics over training](figures/eval_metrics.svg)
+
 ## Checkpoints
 
 - Best checkpoint source: `outputs/TypePredictor/checkpoints/checkpoint-25000`
@@ -387,4 +396,4 @@ metrics, predictions, and confusion matrices. The test set was evaluated only
 after training and checkpoint selection; it was not used for checkpoint or
 hyperparameter selection.
 
-Final model card generated from local RunPod artifacts at `2026-07-12T19:05:52+00:00`.
+Final model card generated from local RunPod artifacts at `2026-07-12T19:07:42+00:00`.

figures/eval_metrics.csv

@@ -0,0 +1,51 @@
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figures/eval_metrics.json

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+[
+  {
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+    "eval_index": 1,
+    "seen_at_utc": "2026-07-12T19:07:28+00:00",
+    "epoch": 0.08,
+    "eval_accuracy": 0.4996031746031746,
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