Loss indicates how far the predicted text regions deviate from the ground truth (lower is better). This model achieved 6.04% on its validation set. A loss below 10% generally indicates reliable baseline detection. Trained on a narrower set of layouts, this model works best on documents similar to its training data.
Layout detection quality depends heavily on your document's structure. Pages with columns, marginalia, or non-standard layouts may produce different results.