Best eval/loss was 0.526 at step 125; it's since risen to 0.5554 (5.6%, slope p<0.0001). Meanwhile train/loss kept falling over the same range (slope < 0) -- the classic overfitting signature.

best_step=125   best_value=0.526   current_value=0.5554   relative_rise=0.05591   slope_p_value=0

• Use the checkpoint at step 125 (best eval/loss), not the last one.
• Add or increase regularization: weight decay, dropout, data augmentation.
• Reduce model capacity or train for fewer steps / add early stopping.
• Get more training data, or de-duplicate against the eval set if overlap is possible.