| project: | |
| seed: 20260730 | |
| data_dir: data | |
| output_dir: outputs | |
| artifact_dir: artifacts | |
| resources: | |
| card_asset_dir: asset/cards/robmikh_svg_cards | |
| expected_card_count: 52 | |
| model_dir: model/smolvlm2-2.2b-instruct | |
| card_split_counts: | |
| train: 40 | |
| val: 6 | |
| test: 6 | |
| geometry: | |
| card_width_mm: 100.0 | |
| card_height_mm: 60.0 | |
| min_piece_count: 2 | |
| max_piece_count: 4 | |
| max_piece_edges: 5 | |
| min_edge_mm: 20.0 | |
| min_piece_area_mm2: 350.0 | |
| random_partition_attempts: 800 | |
| congruence_tolerance_mm: 0.08 | |
| difficult_congruence_tolerance_mm: 3.5 | |
| max_enumerated_candidates: 512 | |
| max_rank_candidates: 4 | |
| visual_equivalence_mae: 2.0 | |
| dataset: | |
| train_samples: 18000 | |
| val_samples: 1000 | |
| test_samples: 1000 | |
| family_weights: | |
| random_unique: 0.15 | |
| offset_parallelogram_diagonal: 0.25 | |
| center_double_cut: 0.25 | |
| congruent_symmetric: 0.20 | |
| difficult_near_symmetric: 0.15 | |
| generation_retries: 80 | |
| progress_every: 100 | |
| binary_hard_negatives_per_scene: 1 | |
| render: | |
| pixels_per_mm: 6.0 | |
| card_width_px: 600 | |
| card_height_px: 360 | |
| board_width_px: 1280 | |
| board_height_px: 820 | |
| board_background_rgb: [226, 231, 237] | |
| cell_background_rgb: [244, 246, 248] | |
| label_rgb: [25, 31, 42] | |
| seam_width_px_range: [1, 3] | |
| piece_brightness_range: [0.94, 1.06] | |
| piece_color_range: [0.96, 1.04] | |
| global_brightness_range: [0.90, 1.10] | |
| global_contrast_range: [0.92, 1.08] | |
| noise_sigma_range: [0.0, 2.0] | |
| blur_radius_range: [0.0, 0.45] | |
| jpeg_quality: 94 | |
| model: | |
| max_length: 2048 | |
| max_image_longest_edge: 1280 | |
| training: | |
| seed: 20260730 | |
| learning_rate: 0.0002 | |
| train_batch_size_per_gpu: 1 | |
| eval_batch_size_per_gpu: 1 | |
| gradient_accumulation_steps: 4 | |
| lora_rank: 16 | |
| lora_alpha: 32 | |
| lora_dropout: 0.05 | |
| warmup_ratio: 0.05 | |
| logging_steps: 10 | |
| eval_steps: 250 | |
| save_steps: 250 | |
| save_total_limit: 2 | |
| dataloader_workers_per_gpu: 2 | |
| binary_epochs: 1 | |
| rank_epochs: 3 | |
| evaluation: | |
| max_samples: 1000 | |
| max_new_tokens: 4 | |