[2026-07-10 01:39:58,768][vit][INFO] - Using cuda
[2026-07-10 01:39:58,769][vit][INFO] - Loading food101 dataset
[2026-07-10 01:39:59,035][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/main/README.md "HTTP/1.1 307 Temporary Redirect"
[2026-07-10 01:39:59,044][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/ethz/food101/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/README.md "HTTP/1.1 200 OK"
[2026-07-10 01:39:59,277][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/food101.py "HTTP/1.1 404 Not Found"
[2026-07-10 01:39:59,955][httpx][INFO] - HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/ethz/food101/ethz/food101.py "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:00,191][httpx][INFO] - HTTP Request: GET https://huggingface.co/api/datasets/ethz/food101/revision/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9 "HTTP/1.1 200 OK"
[2026-07-10 01:40:00,423][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/.huggingface.yaml "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:00,700][httpx][INFO] - HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=ethz/food101 "HTTP/1.1 200 OK"
[2026-07-10 01:40:00,934][httpx][INFO] - HTTP Request: GET https://huggingface.co/api/datasets/ethz/food101/tree/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/data?recursive=true&expand=false "HTTP/1.1 200 OK"
[2026-07-10 01:40:01,172][httpx][INFO] - HTTP Request: GET https://huggingface.co/api/datasets/ethz/food101/tree/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9?recursive=false&expand=false "HTTP/1.1 200 OK"
[2026-07-10 01:40:01,412][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/dataset_infos.json "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:01,701][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/main/README.md "HTTP/1.1 307 Temporary Redirect"
[2026-07-10 01:40:01,712][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/ethz/food101/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/README.md "HTTP/1.1 200 OK"
[2026-07-10 01:40:01,945][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/food101.py "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:02,177][httpx][INFO] - HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/ethz/food101/ethz/food101.py "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:02,415][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/.huggingface.yaml "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:02,654][httpx][INFO] - HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=ethz/food101 "HTTP/1.1 200 OK"
[2026-07-10 01:40:02,882][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/dataset_infos.json "HTTP/1.1 404 Not Found"
[2026-07-10 01:40:04,905][vit][INFO] - Model type: Swin-T params: 27,597,023
[2026-07-10 01:40:56,588][vit][INFO] - Initial Val loss=4.6902 acc@1=0.0084 acc@5=0.0474 Time=48.78s
[2026-07-10 01:40:56,589][vit][INFO] - Epoch: 1/100
[2026-07-10 01:42:25,420][vit][INFO] - Train loss=4.5233 acc@1=0.0279 acc@5=0.1076 Time=88.83s
[2026-07-10 01:42:25,421][vit][INFO] - Epoch: 2/100
[2026-07-10 01:43:14,563][vit][INFO] - Train loss=4.2236 acc@1=0.0669 acc@5=0.2116 Time=49.14s
[2026-07-10 01:43:14,563][vit][INFO] - Epoch: 3/100
[2026-07-10 01:44:03,952][vit][INFO] - Train loss=3.8827 acc@1=0.1172 acc@5=0.3154 Time=49.39s
[2026-07-10 01:44:03,953][vit][INFO] - Epoch: 4/100
[2026-07-10 01:44:52,340][vit][INFO] - Train loss=3.5641 acc@1=0.1717 acc@5=0.4089 Time=48.39s
[2026-07-10 01:44:52,341][vit][INFO] - Epoch: 5/100
[2026-07-10 01:45:40,289][vit][INFO] - Train loss=3.3007 acc@1=0.2193 acc@5=0.4772 Time=47.95s
[2026-07-10 01:45:40,290][vit][INFO] - Epoch: 6/100
[2026-07-10 01:46:28,125][vit][INFO] - Train loss=3.0873 acc@1=0.2612 acc@5=0.5329 Time=47.84s
[2026-07-10 01:46:28,127][vit][INFO] - Epoch: 7/100
[2026-07-10 01:47:15,508][vit][INFO] - Train loss=2.8926 acc@1=0.2983 acc@5=0.5789 Time=47.38s
[2026-07-10 01:47:15,509][vit][INFO] - Epoch: 8/100
[2026-07-10 01:48:03,400][vit][INFO] - Train loss=2.7349 acc@1=0.3295 acc@5=0.6142 Time=47.89s
[2026-07-10 01:48:03,401][vit][INFO] - Epoch: 9/100
[2026-07-10 01:48:50,548][vit][INFO] - Train loss=2.5833 acc@1=0.3622 acc@5=0.6473 Time=47.15s
[2026-07-10 01:48:50,549][vit][INFO] - Epoch: 10/100
[2026-07-10 01:49:38,753][vit][INFO] - Train loss=2.4466 acc@1=0.3900 acc@5=0.6765 Time=48.20s
[2026-07-10 01:49:52,803][vit][INFO] - Val   loss=2.1087 acc@1=0.4598 acc@5=0.7484 Time=14.05s
[2026-07-10 01:49:52,804][vit][INFO] - Epoch: 11/100
[2026-07-10 01:50:40,343][vit][INFO] - Train loss=2.3060 acc@1=0.4231 acc@5=0.7051 Time=47.54s
[2026-07-10 01:50:40,344][vit][INFO] - Epoch: 12/100
[2026-07-10 01:51:28,960][vit][INFO] - Train loss=2.1463 acc@1=0.4566 acc@5=0.7347 Time=48.62s
[2026-07-10 01:51:28,960][vit][INFO] - Epoch: 13/100
[2026-07-10 01:52:16,268][vit][INFO] - Train loss=2.0041 acc@1=0.4879 acc@5=0.7620 Time=47.31s
[2026-07-10 01:52:16,269][vit][INFO] - Epoch: 14/100
[2026-07-10 01:53:04,720][vit][INFO] - Train loss=1.8768 acc@1=0.5157 acc@5=0.7865 Time=48.45s
[2026-07-10 01:53:04,721][vit][INFO] - Epoch: 15/100
[2026-07-10 01:53:52,881][vit][INFO] - Train loss=1.7621 acc@1=0.5406 acc@5=0.8043 Time=48.16s
[2026-07-10 01:53:52,881][vit][INFO] - Epoch: 16/100
[2026-07-10 01:54:40,114][vit][INFO] - Train loss=1.6467 acc@1=0.5682 acc@5=0.8246 Time=47.23s
[2026-07-10 01:54:40,115][vit][INFO] - Epoch: 17/100
[2026-07-10 01:55:27,822][vit][INFO] - Train loss=1.5512 acc@1=0.5896 acc@5=0.8408 Time=47.71s
[2026-07-10 01:55:27,823][vit][INFO] - Epoch: 18/100
[2026-07-10 01:56:18,550][vit][INFO] - Train loss=1.4484 acc@1=0.6123 acc@5=0.8569 Time=50.73s
[2026-07-10 01:56:18,550][vit][INFO] - Epoch: 19/100
[2026-07-10 01:57:08,538][vit][INFO] - Train loss=1.3569 acc@1=0.6334 acc@5=0.8712 Time=49.99s
[2026-07-10 01:57:08,539][vit][INFO] - Epoch: 20/100
[2026-07-10 01:57:55,477][vit][INFO] - Train loss=1.2738 acc@1=0.6541 acc@5=0.8828 Time=46.94s
[2026-07-10 01:58:10,207][vit][INFO] - Val   loss=1.4288 acc@1=0.6222 acc@5=0.8617 Time=14.73s
[2026-07-10 01:58:10,361][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/Swin-T-food101-10-07-26-013958/Swin-T-food101.pt
[2026-07-10 01:58:10,361][vit][INFO] - Epoch: 21/100
[2026-07-10 01:58:57,946][vit][INFO] - Train loss=1.1799 acc@1=0.6780 acc@5=0.8979 Time=47.58s
[2026-07-10 01:58:57,947][vit][INFO] - Epoch: 22/100
[2026-07-10 01:59:46,286][vit][INFO] - Train loss=1.0940 acc@1=0.6966 acc@5=0.9092 Time=48.34s
[2026-07-10 01:59:46,287][vit][INFO] - Epoch: 23/100
[2026-07-10 02:00:34,522][vit][INFO] - Train loss=1.0206 acc@1=0.7152 acc@5=0.9192 Time=48.24s
[2026-07-10 02:00:34,523][vit][INFO] - Epoch: 24/100
[2026-07-10 02:01:23,147][vit][INFO] - Train loss=0.9328 acc@1=0.7366 acc@5=0.9313 Time=48.62s
[2026-07-10 02:01:23,148][vit][INFO] - Epoch: 25/100
[2026-07-10 02:02:11,327][vit][INFO] - Train loss=0.8616 acc@1=0.7561 acc@5=0.9385 Time=48.18s
[2026-07-10 02:02:11,327][vit][INFO] - Epoch: 26/100
[2026-07-10 02:02:58,446][vit][INFO] - Train loss=0.7927 acc@1=0.7724 acc@5=0.9486 Time=47.12s
[2026-07-10 02:02:58,447][vit][INFO] - Epoch: 27/100
[2026-07-10 02:03:45,350][vit][INFO] - Train loss=0.7247 acc@1=0.7914 acc@5=0.9553 Time=46.90s
[2026-07-10 02:03:45,351][vit][INFO] - Epoch: 28/100
[2026-07-10 02:04:33,167][vit][INFO] - Train loss=0.6669 acc@1=0.8061 acc@5=0.9615 Time=47.82s
[2026-07-10 02:04:33,167][vit][INFO] - Epoch: 29/100
[2026-07-10 02:05:21,023][vit][INFO] - Train loss=0.6092 acc@1=0.8220 acc@5=0.9667 Time=47.86s
[2026-07-10 02:05:21,024][vit][INFO] - Epoch: 30/100
[2026-07-10 02:06:08,735][vit][INFO] - Train loss=0.5549 acc@1=0.8385 acc@5=0.9721 Time=47.71s
[2026-07-10 02:06:22,719][vit][INFO] - Val   loss=1.4046 acc@1=0.6650 acc@5=0.8781 Time=13.98s
[2026-07-10 02:06:22,719][vit][INFO] - Epoch: 31/100
[2026-07-10 02:07:11,584][vit][INFO] - Train loss=0.5009 acc@1=0.8519 acc@5=0.9757 Time=48.86s
[2026-07-10 02:07:11,585][vit][INFO] - Epoch: 32/100
[2026-07-10 02:07:59,317][vit][INFO] - Train loss=0.4622 acc@1=0.8644 acc@5=0.9799 Time=47.73s
[2026-07-10 02:07:59,318][vit][INFO] - Epoch: 33/100
[2026-07-10 02:08:47,034][vit][INFO] - Train loss=0.4212 acc@1=0.8754 acc@5=0.9825 Time=47.72s
[2026-07-10 02:08:47,035][vit][INFO] - Epoch: 34/100
[2026-07-10 02:09:35,399][vit][INFO] - Train loss=0.3844 acc@1=0.8861 acc@5=0.9854 Time=48.36s
[2026-07-10 02:09:35,399][vit][INFO] - Epoch: 35/100
[2026-07-10 02:10:22,974][vit][INFO] - Train loss=0.3514 acc@1=0.8968 acc@5=0.9871 Time=47.57s
[2026-07-10 02:10:22,974][vit][INFO] - Epoch: 36/100
[2026-07-10 02:11:13,018][vit][INFO] - Train loss=0.3274 acc@1=0.9024 acc@5=0.9884 Time=50.04s
[2026-07-10 02:11:13,018][vit][INFO] - Epoch: 37/100
[2026-07-10 02:12:00,709][vit][INFO] - Train loss=0.2980 acc@1=0.9114 acc@5=0.9901 Time=47.69s
[2026-07-10 02:12:00,709][vit][INFO] - Epoch: 38/100
[2026-07-10 02:12:47,813][vit][INFO] - Train loss=0.2731 acc@1=0.9191 acc@5=0.9908 Time=47.10s
[2026-07-10 02:12:47,813][vit][INFO] - Epoch: 39/100
[2026-07-10 02:13:35,499][vit][INFO] - Train loss=0.2500 acc@1=0.9262 acc@5=0.9923 Time=47.69s
[2026-07-10 02:13:35,500][vit][INFO] - Epoch: 40/100
[2026-07-10 02:14:24,768][vit][INFO] - Train loss=0.2325 acc@1=0.9314 acc@5=0.9928 Time=49.27s
[2026-07-10 02:14:38,733][vit][INFO] - Val   loss=1.5124 acc@1=0.6746 acc@5=0.8798 Time=13.96s
[2026-07-10 02:14:38,987][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/Swin-T-food101-10-07-26-013958/Swin-T-food101.pt
[2026-07-10 02:14:38,987][vit][INFO] - Epoch: 41/100
[2026-07-10 02:15:27,842][vit][INFO] - Train loss=0.2083 acc@1=0.9391 acc@5=0.9941 Time=48.85s
[2026-07-10 02:15:27,843][vit][INFO] - Epoch: 42/100
[2026-07-10 02:16:16,646][vit][INFO] - Train loss=0.1936 acc@1=0.9428 acc@5=0.9946 Time=48.80s
[2026-07-10 02:16:16,647][vit][INFO] - Epoch: 43/100
[2026-07-10 02:17:03,205][vit][INFO] - Train loss=0.1769 acc@1=0.9473 acc@5=0.9954 Time=46.56s
[2026-07-10 02:17:03,206][vit][INFO] - Epoch: 44/100
[2026-07-10 02:17:51,689][vit][INFO] - Train loss=0.1668 acc@1=0.9499 acc@5=0.9954 Time=48.48s
[2026-07-10 02:17:51,689][vit][INFO] - Epoch: 45/100
[2026-07-10 02:18:38,804][vit][INFO] - Train loss=0.1500 acc@1=0.9559 acc@5=0.9961 Time=47.11s
[2026-07-10 02:18:38,804][vit][INFO] - Epoch: 46/100
[2026-07-10 02:19:26,363][vit][INFO] - Train loss=0.1394 acc@1=0.9595 acc@5=0.9965 Time=47.56s
[2026-07-10 02:19:26,363][vit][INFO] - Epoch: 47/100
[2026-07-10 02:20:12,961][vit][INFO] - Train loss=0.1270 acc@1=0.9632 acc@5=0.9968 Time=46.60s
[2026-07-10 02:20:12,961][vit][INFO] - Epoch: 48/100
[2026-07-10 02:21:00,414][vit][INFO] - Train loss=0.1154 acc@1=0.9656 acc@5=0.9971 Time=47.45s
[2026-07-10 02:21:00,415][vit][INFO] - Epoch: 49/100
[2026-07-10 02:21:47,014][vit][INFO] - Train loss=0.1050 acc@1=0.9699 acc@5=0.9977 Time=46.60s
[2026-07-10 02:21:47,015][vit][INFO] - Epoch: 50/100
[2026-07-10 02:22:34,937][vit][INFO] - Train loss=0.0960 acc@1=0.9723 acc@5=0.9980 Time=47.92s
[2026-07-10 02:22:48,728][vit][INFO] - Val   loss=1.5899 acc@1=0.6824 acc@5=0.8838 Time=13.79s
[2026-07-10 02:22:48,729][vit][INFO] - Epoch: 51/100
[2026-07-10 02:23:37,435][vit][INFO] - Train loss=0.0896 acc@1=0.9744 acc@5=0.9977 Time=48.71s
[2026-07-10 02:23:37,435][vit][INFO] - Epoch: 52/100
[2026-07-10 02:24:25,873][vit][INFO] - Train loss=0.0803 acc@1=0.9769 acc@5=0.9984 Time=48.44s
[2026-07-10 02:24:25,874][vit][INFO] - Epoch: 53/100
[2026-07-10 02:25:13,872][vit][INFO] - Train loss=0.0738 acc@1=0.9790 acc@5=0.9984 Time=48.00s
[2026-07-10 02:25:13,872][vit][INFO] - Epoch: 54/100
[2026-07-10 02:26:03,937][vit][INFO] - Train loss=0.0660 acc@1=0.9814 acc@5=0.9984 Time=50.06s
[2026-07-10 02:26:03,937][vit][INFO] - Epoch: 55/100
[2026-07-10 02:26:52,130][vit][INFO] - Train loss=0.0604 acc@1=0.9829 acc@5=0.9988 Time=48.19s
[2026-07-10 02:26:52,132][vit][INFO] - Epoch: 56/100
[2026-07-10 02:27:40,584][vit][INFO] - Train loss=0.0555 acc@1=0.9846 acc@5=0.9987 Time=48.45s
[2026-07-10 02:27:40,584][vit][INFO] - Epoch: 57/100
[2026-07-10 02:28:28,376][vit][INFO] - Train loss=0.0515 acc@1=0.9851 acc@5=0.9991 Time=47.79s
[2026-07-10 02:28:28,377][vit][INFO] - Epoch: 58/100
[2026-07-10 02:29:16,402][vit][INFO] - Train loss=0.0453 acc@1=0.9872 acc@5=0.9991 Time=48.02s
[2026-07-10 02:29:16,402][vit][INFO] - Epoch: 59/100
[2026-07-10 02:30:05,101][vit][INFO] - Train loss=0.0438 acc@1=0.9880 acc@5=0.9990 Time=48.70s
[2026-07-10 02:30:05,102][vit][INFO] - Epoch: 60/100
[2026-07-10 02:30:54,437][vit][INFO] - Train loss=0.0393 acc@1=0.9895 acc@5=0.9993 Time=49.33s
[2026-07-10 02:31:08,502][vit][INFO] - Val   loss=1.5838 acc@1=0.6953 acc@5=0.8900 Time=14.06s
[2026-07-10 02:31:08,707][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/Swin-T-food101-10-07-26-013958/Swin-T-food101.pt
[2026-07-10 02:31:08,708][vit][INFO] - Epoch: 61/100
[2026-07-10 02:31:57,835][vit][INFO] - Train loss=0.0370 acc@1=0.9904 acc@5=0.9992 Time=49.13s
[2026-07-10 02:31:57,836][vit][INFO] - Epoch: 62/100
[2026-07-10 02:32:47,345][vit][INFO] - Train loss=0.0335 acc@1=0.9909 acc@5=0.9993 Time=49.51s
[2026-07-10 02:32:47,345][vit][INFO] - Epoch: 63/100
[2026-07-10 02:33:36,862][vit][INFO] - Train loss=0.0313 acc@1=0.9914 acc@5=0.9994 Time=49.52s
[2026-07-10 02:33:36,863][vit][INFO] - Epoch: 64/100
[2026-07-10 02:34:25,836][vit][INFO] - Train loss=0.0297 acc@1=0.9925 acc@5=0.9993 Time=48.97s
[2026-07-10 02:34:25,836][vit][INFO] - Epoch: 65/100
[2026-07-10 02:35:15,164][vit][INFO] - Train loss=0.0278 acc@1=0.9927 acc@5=0.9996 Time=49.33s
[2026-07-10 02:35:15,165][vit][INFO] - Epoch: 66/100
[2026-07-10 02:36:07,347][vit][INFO] - Train loss=0.0255 acc@1=0.9936 acc@5=0.9993 Time=52.18s
[2026-07-10 02:36:07,348][vit][INFO] - Epoch: 67/100
[2026-07-10 02:36:56,316][vit][INFO] - Train loss=0.0239 acc@1=0.9938 acc@5=0.9995 Time=48.97s
[2026-07-10 02:36:56,316][vit][INFO] - Epoch: 68/100
[2026-07-10 02:37:45,066][vit][INFO] - Train loss=0.0235 acc@1=0.9937 acc@5=0.9995 Time=48.75s
[2026-07-10 02:37:45,066][vit][INFO] - Epoch: 69/100
[2026-07-10 02:38:36,875][vit][INFO] - Train loss=0.0227 acc@1=0.9940 acc@5=0.9996 Time=51.81s
[2026-07-10 02:38:36,876][vit][INFO] - Epoch: 70/100
[2026-07-10 02:39:26,094][vit][INFO] - Train loss=0.0221 acc@1=0.9943 acc@5=0.9994 Time=49.22s
[2026-07-10 02:39:40,781][vit][INFO] - Val   loss=1.6049 acc@1=0.7046 acc@5=0.8893 Time=14.69s
[2026-07-10 02:39:40,782][vit][INFO] - Epoch: 71/100
[2026-07-10 02:40:28,599][vit][INFO] - Train loss=0.0208 acc@1=0.9946 acc@5=0.9996 Time=47.82s
[2026-07-10 02:40:28,600][vit][INFO] - Epoch: 72/100
[2026-07-10 02:41:18,401][vit][INFO] - Train loss=0.0198 acc@1=0.9950 acc@5=0.9996 Time=49.80s
[2026-07-10 02:41:18,401][vit][INFO] - Epoch: 73/100
[2026-07-10 02:42:07,449][vit][INFO] - Train loss=0.0198 acc@1=0.9946 acc@5=0.9996 Time=49.05s
[2026-07-10 02:42:07,450][vit][INFO] - Epoch: 74/100
[2026-07-10 02:42:56,567][vit][INFO] - Train loss=0.0199 acc@1=0.9947 acc@5=0.9996 Time=49.12s
[2026-07-10 02:42:56,568][vit][INFO] - Epoch: 75/100
[2026-07-10 02:43:46,556][vit][INFO] - Train loss=0.0192 acc@1=0.9950 acc@5=0.9997 Time=49.99s
[2026-07-10 02:43:46,557][vit][INFO] - Epoch: 76/100
[2026-07-10 02:44:36,468][vit][INFO] - Train loss=0.0182 acc@1=0.9953 acc@5=0.9997 Time=49.91s
[2026-07-10 02:44:36,469][vit][INFO] - Epoch: 77/100
[2026-07-10 02:45:25,576][vit][INFO] - Train loss=0.0187 acc@1=0.9950 acc@5=0.9997 Time=49.11s
[2026-07-10 02:45:25,576][vit][INFO] - Epoch: 78/100
[2026-07-10 02:46:15,641][vit][INFO] - Train loss=0.0192 acc@1=0.9949 acc@5=0.9996 Time=50.06s
[2026-07-10 02:46:15,641][vit][INFO] - Epoch: 79/100
[2026-07-10 02:47:05,615][vit][INFO] - Train loss=0.0191 acc@1=0.9948 acc@5=0.9996 Time=49.97s
[2026-07-10 02:47:05,615][vit][INFO] - Epoch: 80/100
[2026-07-10 02:47:55,293][vit][INFO] - Train loss=0.0189 acc@1=0.9952 acc@5=0.9996 Time=49.68s
[2026-07-10 02:48:09,914][vit][INFO] - Val   loss=1.6389 acc@1=0.7030 acc@5=0.8905 Time=14.62s
[2026-07-10 02:48:10,121][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/Swin-T-food101-10-07-26-013958/Swin-T-food101.pt
[2026-07-10 02:48:10,121][vit][INFO] - Epoch: 81/100
[2026-07-10 02:48:58,279][vit][INFO] - Train loss=0.0180 acc@1=0.9952 acc@5=0.9996 Time=48.16s
[2026-07-10 02:48:58,279][vit][INFO] - Epoch: 82/100
[2026-07-10 02:49:46,943][vit][INFO] - Train loss=0.0175 acc@1=0.9955 acc@5=0.9996 Time=48.66s
[2026-07-10 02:49:46,944][vit][INFO] - Epoch: 83/100
[2026-07-10 02:50:36,127][vit][INFO] - Train loss=0.0184 acc@1=0.9953 acc@5=0.9996 Time=49.18s
[2026-07-10 02:50:36,128][vit][INFO] - Epoch: 84/100
[2026-07-10 02:51:25,728][vit][INFO] - Train loss=0.0159 acc@1=0.9959 acc@5=0.9997 Time=49.60s
[2026-07-10 02:51:25,729][vit][INFO] - Epoch: 85/100
[2026-07-10 02:52:15,355][vit][INFO] - Train loss=0.0162 acc@1=0.9957 acc@5=0.9997 Time=49.63s
[2026-07-10 02:52:15,356][vit][INFO] - Epoch: 86/100
[2026-07-10 02:53:04,209][vit][INFO] - Train loss=0.0157 acc@1=0.9959 acc@5=0.9996 Time=48.85s
[2026-07-10 02:53:04,209][vit][INFO] - Epoch: 87/100
[2026-07-10 02:53:53,532][vit][INFO] - Train loss=0.0165 acc@1=0.9956 acc@5=0.9997 Time=49.32s
[2026-07-10 02:53:53,532][vit][INFO] - Epoch: 88/100
[2026-07-10 02:54:43,098][vit][INFO] - Train loss=0.0165 acc@1=0.9955 acc@5=0.9997 Time=49.57s
[2026-07-10 02:54:43,098][vit][INFO] - Epoch: 89/100
[2026-07-10 02:55:32,476][vit][INFO] - Train loss=0.0148 acc@1=0.9963 acc@5=0.9998 Time=49.38s
[2026-07-10 02:55:32,477][vit][INFO] - Epoch: 90/100
[2026-07-10 02:56:20,592][vit][INFO] - Train loss=0.0170 acc@1=0.9958 acc@5=0.9996 Time=48.11s
[2026-07-10 02:56:35,573][vit][INFO] - Val   loss=1.6763 acc@1=0.6995 acc@5=0.8880 Time=14.98s
[2026-07-10 02:56:35,574][vit][INFO] - Epoch: 91/100
[2026-07-10 02:57:23,242][vit][INFO] - Train loss=0.0168 acc@1=0.9956 acc@5=0.9997 Time=47.67s
[2026-07-10 02:57:23,242][vit][INFO] - Epoch: 92/100
[2026-07-10 02:58:13,090][vit][INFO] - Train loss=0.0145 acc@1=0.9962 acc@5=0.9998 Time=49.85s
[2026-07-10 02:58:13,091][vit][INFO] - Epoch: 93/100
[2026-07-10 02:59:01,565][vit][INFO] - Train loss=0.0161 acc@1=0.9956 acc@5=0.9997 Time=48.47s
[2026-07-10 02:59:01,565][vit][INFO] - Epoch: 94/100
[2026-07-10 02:59:51,336][vit][INFO] - Train loss=0.0148 acc@1=0.9962 acc@5=0.9996 Time=49.77s
[2026-07-10 02:59:51,337][vit][INFO] - Epoch: 95/100
[2026-07-10 03:00:39,477][vit][INFO] - Train loss=0.0159 acc@1=0.9958 acc@5=0.9997 Time=48.14s
[2026-07-10 03:00:39,478][vit][INFO] - Epoch: 96/100
[2026-07-10 03:01:27,346][vit][INFO] - Train loss=0.0155 acc@1=0.9959 acc@5=0.9997 Time=47.87s
[2026-07-10 03:01:27,346][vit][INFO] - Epoch: 97/100
[2026-07-10 03:02:14,851][vit][INFO] - Train loss=0.0143 acc@1=0.9962 acc@5=0.9998 Time=47.50s
[2026-07-10 03:02:14,852][vit][INFO] - Epoch: 98/100
[2026-07-10 03:03:02,726][vit][INFO] - Train loss=0.0150 acc@1=0.9962 acc@5=0.9997 Time=47.87s
[2026-07-10 03:03:02,727][vit][INFO] - Epoch: 99/100
[2026-07-10 03:03:52,316][vit][INFO] - Train loss=0.0153 acc@1=0.9962 acc@5=0.9997 Time=49.59s
[2026-07-10 03:03:52,316][vit][INFO] - Epoch: 100/100
[2026-07-10 03:04:41,386][vit][INFO] - Train loss=0.0143 acc@1=0.9963 acc@5=0.9998 Time=49.07s
[2026-07-10 03:04:56,101][vit][INFO] - Val   loss=1.6995 acc@1=0.7004 acc@5=0.8886 Time=14.71s
[2026-07-10 03:04:56,311][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/Swin-T-food101-10-07-26-013958/Swin-T-food101.pt