Remove the 50041-50043 checkpoints: runs confirmed wrong (random CAM head, or a KD term that also trained the one-stage teacher)

README.md

@@ -12,7 +12,7 @@ tags:
 
 These are the checkpoints behind *Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation* ([arXiv:2507.12157](https://arxiv.org/abs/2507.12157)). Students trained from scratch learn from a fine-grained teacher (a ResNet-101 trained with counterfactual attention learning, CAL), which also guides data-aware augmentation of the student's inputs. Code: [arkel23/TGDA](https://github.com/arkel23/TGDA).
 
-250 checkpoints, one per configuration, each the last epoch of one training seed. Each file
+241 checkpoints, one per configuration, each the last epoch of one training seed. Each file
 is a `torch.save` dict with `config` (the full training configuration), `model` (the state dict),
 `accuracy` and `epoch`, with no optimizer state. File names are the runs' experiment-log names,
 ending in the serial. Load them with [fgir-zoo](https://github.com/arkel23/fgir-zoo). The
@@ -30,7 +30,7 @@ ending in the serial. Load them with [fgir-zoo](https://github.com/arkel23/fgir-
 | `vitfs_128` | 51401 | ViTFS tiny/micro/nano students at 128 px from a 448 px teacher | 8 |
 | `vit_ce_448` | 51081-51083 | The `vitfs_448` models trained with cross-entropy only (no teacher) | 36 |
 | `vitfs_transfer` | 51161-51163 | A TGDA-trained student transferred to two new datasets with cross-entropy | 8 |
-| `ablations_128` | 50041-50043, 50071-50075, 50081-50084, 50161-50163, 50202, 50204, 50271-50275, 50281-50284 | Ablations: TGDA without extra regularization, one- vs two-stage training, augmentation type, teacher type, transfer | 73 |
+| `ablations_128` | 50071-50075, 50081-50084, 50161-50163, 50202, 50204, 50271-50275, 50281-50284 | Ablations: TGDA without extra regularization, augmentation type, teacher type, transfer | 64 |
 | `scratch_vs_pt_448` | 50681-50682, 50691 | 200 epochs from scratch with cross-entropy or KD, and ImageNet-pretrained with KD | 9 |
 | `sweeps_128` | 50105, 50119 | KD weight and temperature sweeps on CUB | 2 |
 

ablations_128/aircraft_resnet18_resnet101_cal_tgda_50041.pth

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manifest.csv

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@@ -39,9 +36,6 @@ ablations_128/cars_resnet18_50281,ablations_128,cars_resnet18_50281,cars_resnet1
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