Download ablations/02_optimization_and_regularization/sam_test.log from Dhruv1000/TSRDA: direct link, hf CLI and curl.
- Browser
- Download file 2.88 kB
-
https://huggingface.co/Dhruv1000/TSRDA/resolve/main/ablations/02_optimization_and_regularization/sam_test.log
- Command line
-
hf download hf://Dhruv1000/TSRDA/ablations/02_optimization_and_regularization/sam_test.log
-
curl -L -o sam_test.log https://huggingface.co/Dhruv1000/TSRDA/resolve/main/ablations/02_optimization_and_regularization/sam_test.log
2.88 kB
| /usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4 | |
| warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}" | |
| [EVAL] fold [4]: 482 patches (7,712 crop-equiv) | |
| [EVAL] window=128x128 batch=1 -> 482 batches TTA=off ensemble=1 ckpt(s) | |
| [EVAL] /home/ubuntu/tsr/research_round/checkpoints/sam/model_best_raw.tar | |
| epoch=10 val_mIoU=0.5000673383500418 which=raw | |
| /home/ubuntu/tsr/evaluate_test.py:116: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. | |
| with autocast(): | |
| eval 0/482 | |
| eval 50/482 | |
| eval 100/482 | |
| eval 150/482 | |
| eval 200/482 | |
| eval 250/482 | |
| eval 300/482 | |
| eval 350/482 | |
| eval 400/482 | |
| eval 450/482 | |
| ========================================================== | |
| T-SRDA v2 evaluation — PASTIS fold-4 test set (official protocol) | |
| 482 full 128x128 patches · 3,961,114 scored pixels | |
| TTA: OFF (official) checkpoints: 1 | |
| ========================================================== | |
| mIoU : 0.4750 | |
| OA : 0.7959 | |
| mF1 : 0.6060 | |
| Kappa : 0.7482 | |
| Cls Name IoU F1 Support | |
| ---------------------------------------------------------------- | |
| 1 Meadow 0.8020 0.8901 1,466,003 | |
| 2 Soft winter wheat 0.7025 0.8253 560,680 | |
| 3 Corn 0.8569 0.9230 688,289 | |
| 4 Winter barley 0.4945 0.6617 163,392 | |
| 5 Winter rapeseed 0.8760 0.9339 129,119 | |
| 6 Spring barley 0.3614 0.5310 53,762 | |
| 7 Sunflower 0.4251 0.5966 81,933 | |
| 8 Grapevine 0.5731 0.7286 187,477 | |
| 9 Beet 0.7824 0.8779 71,047 | |
| 10 Winter triticale 0.1223 0.2180 58,362 | |
| 11 Winter durum wheat 0.5315 0.6941 69,960 | |
| 12 Fruits, vegetables, flowers 0.2698 0.4250 60,715 | |
| 13 Potatoes 0.2983 0.4596 22,613 | |
| 14 Leguminous fodder 0.2718 0.4274 127,794 | |
| 15 Soybeans 0.5734 0.7289 68,316 | |
| 16 Orchard 0.2937 0.4541 76,859 | |
| 17 Mixed cereal 0.0927 0.1697 42,769 *rare* | |
| 18 Sorghum 0.2224 0.3638 32,024 | |
| Corrected foreground mIoU: 0.47500097242802003 | |
| Corrected foreground macro F1: 0.6060348191643534 | |
| Saved results: /home/ubuntu/tsr/research_round/checkpoints/sam/test_results.json | |
| peak VRAM: 5.00 GB at batch 1 | |
| --- reference points (v1, same protocol, no TTA) --- | |
| v1 fixed epoch 99 : test mIoU 0.4124 | |
| v1 best-val ep37 : test mIoU 0.4433 | |
| A_linear baseline : test mIoU 0.4747 (seed 3407, best-val) | |