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README.md

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+# Checkpoints
+
+This directory holds all pretrained and finetuned model weights for DeepSparse.
+
+> **Note**: This directory is excluded from the git repository. Checkpoints are hosted on HuggingFace:
+> **[HajihajihaJimmy/DeepSparse](https://huggingface.co/HajihajihaJimmy/DeepSparse)**
+
+## Naming Convention
+
+```
+logs/
+  pretrain/ep_700.pth          Pretrained foundation model (AtlasAbdomenMini, ep 700)
+  {dataset}+{n}v+s2/ep_400.pth  Finetuned model — dataset, n input views, Stage 2, epoch 400
+```
+
+## Checkpoint Map
+
+| Folder | Anatomy | Views | Stage | Original training run |
+|--------|---------|-------|-------|-----------------------|
+| `pretrain/` | — (pretraining) | 6–24 | Pretrain | `atlas_7k+mv+rv` |
+| `abdomen+6v+s2/` | Abdomen (PANORAMA) | 6 | S2 | `atlas_7k+mv+rv+s1+ep7+abdomen+6v+s2` |
+| `abdomen+8v+s2/` | Abdomen (PANORAMA) | 8 | S2 | `atlas_7k+mv+rv+s1+ep7+abdomen+8v+s2` |
+| `abdomen+10v+s2/` | Abdomen (PANORAMA) | 10 | S2 | `atlas_7k+mv+rv+s1+ep7+abdomen+10v+s2` |
+| `pelvis+6v+s2/` | Pelvis (PENGWIN) | 6 | S2 | `atlas_7k+mv+rv+s1+ep7+pelvis+6v+s2` |
+| `pelvis+8v+s2/` | Pelvis (PENGWIN) | 8 | S2 | `atlas_7k+mv+rv+s1+ep7+pelvis+8v+s2` |
+| `pelvis+10v+s2/` | Pelvis (PENGWIN) | 10 | S2 | `atlas_7k+mv+rv+s1+ep7+pelvis+10v+s2` |
+| `tooth+6v+s2/` | Tooth (ToothFairy) | 6 | S2 | `atlas_7k+mv+rv+s1+ep7+tooth+6v+s2` |
+| `tooth+8v+s2/` | Tooth (ToothFairy) | 8 | S2 | `atlas_7k+mv+rv+s1+ep7+tooth+8v+s2` |
+| `tooth+10v+s2/` | Tooth (ToothFairy) | 10 | S2 | `atlas_7k+mv+rv+s1+ep7+tooth+10v+s2` |
+| `luna+6v+s2/` | Lung (LUNA16) | 6 | S2 | `atlas_7k+mv+rv+ft_s1+ep7+s2` (ep 800) |
+| `luna+8v+s2/` | Lung (LUNA16) | 8 | S1\* | `atlas_7k+mv+rv+s1+ep7+8v` (ep 800) |
+| `luna+10v+s2/` | Lung (LUNA16) | 10 | S1\* | `atlas_7k+mv+rv+s1+ep7+10v` (ep 800) |
+
+\* Luna 8v and 10v use a single-stage training run (800 epochs) equivalent to the combined S1+S2 pipeline used for other anatomies.
+
+## Usage
+
+All evaluation scripts expect checkpoints at `logs/{name}/ep_{epoch}.pth`. The default epoch for inference is `400` (set via `--epoch 400` in `evaluate_s2.sh`).

abdomen+10v+s2/ep_400.pth

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pretrain/ep_700.pth

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