Parse single epoch training curves
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@@ -183,7 +183,7 @@ def parse_training_curve(path: Path, max_points: int = 300) -> dict | None:
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y = _as_float(row.get(name))
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if y is not None:
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points.append({"x": x, "y": y})
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if len(points) >= 2:
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if points:
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values = [point["y"] for point in points]
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series.append({"name": name, "points": points, "last": values[-1], "min": min(values), "max": max(values)})
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if not series:
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