| { |
| "schema_version": "1.0", |
| "model": { |
| "framework": "pytorch", |
| "class": "ResNetSimCLR", |
| "backbone": "resnet18", |
| "input_shape": [ |
| 3, |
| 224, |
| 224 |
| ], |
| "backbone_representation_dim": 512, |
| "projection_dim": 128, |
| "projection_head": [ |
| { |
| "type": "Linear", |
| "in_features": 512, |
| "out_features": 512 |
| }, |
| { |
| "type": "ReLU" |
| }, |
| { |
| "type": "Linear", |
| "in_features": 512, |
| "out_features": 128 |
| } |
| ], |
| "name": "VEDB-SimCLR-ResNet18-Baseline" |
| }, |
| "checkpoint": { |
| "format": "pytorch_checkpoint", |
| "epoch": 120, |
| "state_dict_key": "state_dict", |
| "state_dict_entries": 124, |
| "contains_optimizer_state": true, |
| "strict_load_verified": true, |
| "filename": "simclr_resnet18_baseline_epoch120.pth.tar" |
| }, |
| "data": { |
| "dataset": "Visual Experience Dataset (VEDB)", |
| "retained_sessions": 514, |
| "total_rows": 433564, |
| "splits": { |
| "train": { |
| "sessions": 455, |
| "rows": 377462 |
| }, |
| "validation": { |
| "sessions": 28, |
| "rows": 26026 |
| }, |
| "test": { |
| "sessions": 31, |
| "rows": 30076 |
| } |
| }, |
| "simclr_pretraining_split": [ |
| "train" |
| ], |
| "simclr_pretraining_rows": 377462, |
| "split_unit": "video_session", |
| "require_ok": true |
| }, |
| "training": { |
| "epochs": 120, |
| "batch_size": 512, |
| "optimizer": { |
| "name": "Adam", |
| "learning_rate": 0.0006, |
| "weight_decay": 0.0001 |
| }, |
| "objective": { |
| "name": "NT-Xent", |
| "implementation": "InfoNCE-style logits with CrossEntropyLoss", |
| "temperature": 0.07, |
| "n_views": 2, |
| "feature_normalization": "L2", |
| "similarity": "dot_product" |
| }, |
| "mixed_precision": { |
| "enabled": true, |
| "implementation": "torch.cuda.amp", |
| "gradient_scaling": true |
| }, |
| "scheduler": { |
| "name": "CosineAnnealingLR", |
| "t_max": "len(train_loader)", |
| "eta_min": 0.0, |
| "step_unit": "epoch", |
| "step_start_epoch_index": 10, |
| "implementation_note": "T_max was defined as len(train_loader) while scheduler.step() was called once per epoch." |
| } |
| }, |
| "runtime_augmentations": { |
| "backend": "kornia", |
| "device": "gpu", |
| "random_resized_crop": { |
| "size": [ |
| 224, |
| 224 |
| ], |
| "scale": [ |
| 0.08, |
| 1.0 |
| ], |
| "ratio": [ |
| 0.75, |
| 1.3333333333333333 |
| ], |
| "p": 1.0 |
| }, |
| "random_horizontal_flip": { |
| "p": 0.5 |
| }, |
| "color_jitter": { |
| "brightness": 0.8, |
| "contrast": 0.8, |
| "saturation": 0.8, |
| "hue": 0.2, |
| "p": 0.8 |
| }, |
| "random_grayscale": { |
| "p": 0.2 |
| }, |
| "gaussian_blur": { |
| "kernel_size": [ |
| 23, |
| 23 |
| ], |
| "sigma": [ |
| 0.1, |
| 2.0 |
| ], |
| "p": 1.0 |
| }, |
| "normalization": { |
| "mean": [ |
| 0.485, |
| 0.456, |
| 0.406 |
| ], |
| "std": [ |
| 0.229, |
| 0.224, |
| 0.225 |
| ] |
| } |
| }, |
| "dataloader": { |
| "workers": 8, |
| "multiprocessing_context": "spawn", |
| "pin_memory": true, |
| "persistent_workers": true, |
| "prefetch_factor": 4, |
| "timeout_seconds": 0, |
| "shuffle": true, |
| "drop_last": true |
| }, |
| "sample_error_handling": { |
| "max_bad_sample_retries": 10, |
| "fallback_rgb": [ |
| 127, |
| 127, |
| 127 |
| ] |
| }, |
| "reproducibility": { |
| "torch_manual_seed": 0, |
| "cli_seed": null, |
| "fully_deterministic": false |
| }, |
| "publication": { |
| "title": "Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field", |
| "authors": [ |
| "Dylan M. Diaz", |
| "Margaret M. Henderson" |
| ], |
| "year": 2026, |
| "doi": "10.32470/0416gfsq", |
| "arxiv": "2607.19316" |
| }, |
| "provenance": { |
| "technical_metadata_verified_against": [ |
| "released_checkpoint", |
| "original_training_code", |
| "cluster_launch_script", |
| "offline_preprocessing_specification" |
| ], |
| "precedence_note": "For technical details of the released model artifact, this config and the associated Hugging Face model card reflect post-publication verification against the released checkpoint and original implementation. Where a technical implementation detail differs from the paper, the verified model artifact documentation should be used to reproduce the released checkpoint." |
| }, |
| "condition": { |
| "name": "baseline", |
| "description": "Full-field VEDB imagery without an eccentricity-specific restriction.", |
| "gaze_contingent": false, |
| "offline_preprocessing": { |
| "common": [ |
| "decode sampled video frame", |
| "convert to RGB", |
| "bicubic resize to 256 px", |
| "center crop to 224 x 224" |
| ], |
| "condition_specific": [] |
| } |
| } |
| } |
