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  1. README.md +75 -0
  2. ila_ablations/soyglobal_vit_b16_ila_cls_adapter_fz_4.pth +3 -0
  3. ila_ablations/soyglobal_vit_b16_ila_cls_adapter_vpt_shallow_fz_4.pth +3 -0
  4. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_10.pth +3 -0
  5. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_11.pth +3 -0
  6. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_14.pth +3 -0
  7. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_15.pth +3 -0
  8. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_16.pth +3 -0
  9. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_17.pth +3 -0
  10. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_18.pth +3 -0
  11. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_5.pth +3 -0
  12. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_6.pth +3 -0
  13. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_7.pth +3 -0
  14. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_8.pth +3 -0
  15. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_fz_9.pth +3 -0
  16. ila_ablations/soyglobal_vit_b16_ila_dso_cls_adapter_vpt_shallow_fz_4.pth +3 -0
  17. ila_ablations/soyglobal_vit_b16_ila_dso_cls_convpass_fz_4.pth +3 -0
  18. ila_ablations/soylocal_vit_b16_ila_cls_adapter_fz_4.pth +3 -0
  19. ila_ablations/soylocal_vit_b16_ila_cls_adapter_vpt_shallow_fz_4.pth +3 -0
  20. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_10.pth +3 -0
  21. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_11.pth +3 -0
  22. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_12.pth +3 -0
  23. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_14.pth +3 -0
  24. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_15.pth +3 -0
  25. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_16.pth +3 -0
  26. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_17.pth +3 -0
  27. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_18.pth +3 -0
  28. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_5.pth +3 -0
  29. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_6.pth +3 -0
  30. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_7.pth +3 -0
  31. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_8.pth +3 -0
  32. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_fz_9.pth +3 -0
  33. ila_ablations/soylocal_vit_b16_ila_dso_cls_adapter_vpt_shallow_fz_4.pth +3 -0
  34. ila_ablations/soylocal_vit_b16_ila_dso_cls_convpass_fz_4.pth +3 -0
  35. ila_foundation/cotton_pevit_base_patch14_dinov2.lvd142m_fz_2.pth +3 -0
  36. ila_foundation/cotton_pevit_base_patch14_dinov2.lvd142m_fz_200.pth +3 -0
  37. ila_foundation/cotton_pevit_base_patch16_224.mae_fz_1.pth +3 -0
  38. ila_foundation/cotton_pevit_base_patch16_224.mae_fz_100.pth +3 -0
  39. ila_foundation/cotton_pevit_base_patch16_clip_224.laion2b_fz_3.pth +3 -0
  40. ila_foundation/cotton_pevit_base_patch16_clip_224.laion2b_fz_300.pth +3 -0
  41. ila_foundation/soyageing_pevit_base_patch14_dinov2.lvd142m_fz_2.pth +3 -0
  42. ila_foundation/soyageing_pevit_base_patch14_dinov2.lvd142m_fz_200.pth +3 -0
  43. ila_foundation/soyageing_pevit_base_patch16_224.mae_fz_1.pth +3 -0
  44. ila_foundation/soyageing_pevit_base_patch16_224.mae_fz_100.pth +3 -0
  45. ila_foundation/soyageing_pevit_base_patch16_clip_224.laion2b_fz_3.pth +3 -0
  46. ila_foundation/soyageing_pevit_base_patch16_clip_224.laion2b_fz_300.pth +3 -0
  47. medical_petl/bdctkidney_vit_b16_cls_adapter_fz_1.pth +3 -0
  48. medical_petl/idriddr_vit_b16_cls_vqt_fz_1.pth +3 -0
  49. medical_petl/mhist_vit_b16_cls_vpt_deep_fz_1.pth +3 -0
  50. medical_petl/mhist_vit_b16_cls_vpt_shallow_fz_1.pth +3 -0
README.md ADDED
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+ # FGIR-ViT checkpoint zoo
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+
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+ One deduplicated folder holding every kept checkpoint from the FGIR-ViT family of experiments:
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+ the ILA inter-layer adapter and SAW contrastive-warmup paper (`ila_*`), the attention-aggregation
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+ adapter (AAA) paper (`aaa_*`), the medical PETL and IDRiD studies (`medical_*`), and the
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+ full-fine-tune fine-grained benchmark (`ft_*`). It backs the `fgirvit` family of the `fgir_zoo`
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+ library and the HuggingFace mirror `ERISLab/FGIR-ViT`.
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+
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+ 1051 checkpoints, one seed per configuration, last epoch only.
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+
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+ ## Layout
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+
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+ Files are grouped by experiment line, flat inside each group, named
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+ `<dataset>_<model>_<method>_<serial>[_<variant>].pth`. The trailing number is the wandb serial;
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+ the name always ends in it because only the last epoch is kept, so "last" is implied and never
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+ written into the name. `<variant>` disambiguates configurations that share a serial (the `ifc`
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+ contrastive head on the `ila_contrastive` runs).
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+
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+ | Group | Origin | wandb project | Serials | Backbone | Files |
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+ |---|---|---|---|---|---|
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+ | `ila_main_224` | ILA/SAW paper | ILA | 1 | vit_b16 | 206 |
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+ | `ila_main_448` | ILA/SAW paper | ILA | 3 | vit_b16 | 185 |
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+ | `ila_ablations` | ILA/SAW paper | ILA | 4–18 | vit_b16 | 33 |
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+ | `ila_saw` | ILA/SAW paper | ILA | 90–93, 210–260 | vit_b16 | 36 |
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+ | `ila_saw_deit` | ILA/SAW paper | ILA | 71, 81 | pedeit_base_patch16_224.fb_in1k | 20 |
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+ | `ila_saw_no_ila` | ILA/SAW paper | ILA | 270–272 | vit_b16 | 21 |
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+ | `ila_swin` | ILA/SAW paper | ILA | 80, 81, 161 | peswin_base_patch4_window7_224.ms_in22k | 31 |
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+ | `ila_dinov2` | ILA/SAW paper | ILA | 27, 70, 71 | pevit_base_patch14_dinov2.lvd142m | 9 |
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+ | `ila_foundation` | ILA/SAW paper | ila-backbones-baselines | 29 (100/200/300) | MAE, DINOv2, CLIP pevit | 12 |
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+ | `ila_equal_compute` | ILA/SAW paper | ILA | 150 | vit_b16 | 10 |
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+ | `ila_contrastive` | ILA/SAW paper | ILA | 410–436 | vit_b16 | 105 |
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+ | `aaa_main_224` | AAA paper | ILA | 401 | vit_b16 | 13 |
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+ | `aaa_main_448` | AAA paper | ILA | 403 | vit_b16 | 15 |
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+ | `aaa_main_672` | AAA paper | AAA | 501 | vit_b16 | 40 |
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+ | `aaa_viz` | AAA paper | ILA | 420, 421 | vit_b16 | 12 |
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+ | `medical_idrid` | AAA medical | AAA | 541 | vit_b16 | 6 |
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+ | `medical_petl` | AAA medical | AAA | 1 | vit_b16 | 55 |
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+ | `ft_224` | FGIR benchmark | FGIRFT | 1 | vit_b16 | 111 |
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+ | `ft_448` | FGIR benchmark | FGIRFT | 3 | vit_b16 | 131 |
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+
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+ The wandb project shown is the current one. Some older configs carry a legacy `project_name` in
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+ their embedded config (`MLA` for the ILA main tables, `PEFGIR` for part of the 224 benchmark);
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+ grouping here follows the experiment line, not that field.
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+
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+ `aaa_main_672` holds the four adapter arms (attention-aggregation, ILA++ conv, plain adapter,
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+ frozen) across ten datasets. `ila_foundation` holds the frozen MAE/DINOv2/CLIP baselines
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+ (launched as serials 100/200/300, renumbered to 29). `aaa_viz` holds the attention-visualisation
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+ runs, which may be rerun.
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+
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+ ## Contents of a checkpoint
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+
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+ Each file is a dict with `config` (the run's full argument namespace), `model` (the state dict),
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+ `accuracy` (top-1 on the test set) and `epoch`. Load it with `torch.load(path,
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+ weights_only=False)`; the embedded `config` drives model construction.
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+
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+ ## Loading by name
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+
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+ Install the standalone library and load any checkpoint by its `<group>/<stem>` name — no
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+ `fgir_vit` install needed:
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+
61
+ ```
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+ pip install git+https://github.com/arkel23/fgir_zoo.git
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+ python -c "import fgir_zoo; m = fgir_zoo.load('fgirvit/aaa_main_448/soylocal_vit_b16_aaa_dso_cls_adapter_fz_403')"
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+ ```
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+
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+ `fgir_zoo.list_models(family='fgirvit')` lists the names; the row set is `manifest.csv`.
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+
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+ ## Where the rest went
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+
70
+ Deprecated files (best-epoch copies, learning-rate searches, extra seeds, reproduction and smoke
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+ runs, one corrupt file) are in `/mnt/hdd10tb/edwin/ckpt_cleanup/deprecated/consolidation_20260920/`,
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+ grouped by reason. The obsolete first-pass checkpoint tree and the redundant gather folders are in
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+ `/mnt/hdd10tb/edwin/deprecated/`, pending deletion. `/mnt/hdd10tb/edwin/results_ila/` keeps only the
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+ ILA/SAW paper's analysis outputs (per-class accuracies, CKA, transferability feature dumps). The
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+ build scripts and the file inventory that produced this folder are in `_build/`.
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