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MobileViT-XXS-food101.pt ADDED
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MobileViT-XXS.log ADDED
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+ [2026-07-10 03:05:06,593][vit][INFO] - Using cuda
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+ [2026-07-10 03:05:06,595][vit][INFO] - Loading food101 dataset
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+ [2026-07-10 03:05:06,850][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/main/README.md "HTTP/1.1 307 Temporary Redirect"
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+ [2026-07-10 03:05:06,857][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/ethz/food101/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/README.md "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:07,084][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/food101.py "HTTP/1.1 404 Not Found"
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+ [2026-07-10 03:05:07,755][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"
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+ [2026-07-10 03:05:07,989][httpx][INFO] - HTTP Request: GET https://huggingface.co/api/datasets/ethz/food101/revision/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9 "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:08,222][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/.huggingface.yaml "HTTP/1.1 404 Not Found"
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+ [2026-07-10 03:05:08,475][httpx][INFO] - HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=ethz/food101 "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:08,706][httpx][INFO] - HTTP Request: GET https://huggingface.co/api/datasets/ethz/food101/tree/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/data?recursive=true&expand=false "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:08,937][httpx][INFO] - HTTP Request: GET https://huggingface.co/api/datasets/ethz/food101/tree/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9?recursive=false&expand=false "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:09,165][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/dataset_infos.json "HTTP/1.1 404 Not Found"
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+ [2026-07-10 03:05:09,414][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/main/README.md "HTTP/1.1 307 Temporary Redirect"
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+ [2026-07-10 03:05:09,421][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/ethz/food101/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/README.md "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:09,658][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/food101.py "HTTP/1.1 404 Not Found"
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+ [2026-07-10 03:05:09,881][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"
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+ [2026-07-10 03:05:10,114][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/.huggingface.yaml "HTTP/1.1 404 Not Found"
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+ [2026-07-10 03:05:10,350][httpx][INFO] - HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=ethz/food101 "HTTP/1.1 200 OK"
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+ [2026-07-10 03:05:10,584][httpx][INFO] - HTTP Request: HEAD https://huggingface.co/datasets/ethz/food101/resolve/83488de741c1bd1ce27aa6a2b33e19c7bdf92ca9/dataset_infos.json "HTTP/1.1 404 Not Found"
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+ [2026-07-10 03:05:12,496][vit][INFO] - Model type: MobileViT-XXS params: 983,445
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+ [2026-07-10 03:05:58,609][vit][INFO] - Initial Val loss=4.6184 acc@1=0.0105 acc@5=0.0497 Time=43.44s
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+ [2026-07-10 03:05:58,610][vit][INFO] - Epoch: 1/100
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+ [2026-07-10 03:07:44,582][vit][INFO] - Train loss=4.6146 acc@1=0.0121 acc@5=0.0531 Time=105.97s
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+ [2026-07-10 03:07:44,582][vit][INFO] - Epoch: 2/100
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+ [2026-07-10 03:08:32,855][vit][INFO] - Train loss=4.5601 acc@1=0.0205 acc@5=0.0876 Time=48.27s
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+ [2026-07-10 03:08:32,856][vit][INFO] - Epoch: 3/100
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+ [2026-07-10 03:09:20,995][vit][INFO] - Train loss=4.4040 acc@1=0.0383 acc@5=0.1398 Time=48.14s
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+ [2026-07-10 03:09:20,996][vit][INFO] - Epoch: 4/100
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+ [2026-07-10 03:10:09,362][vit][INFO] - Train loss=4.2711 acc@1=0.0560 acc@5=0.1832 Time=48.37s
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+ [2026-07-10 03:10:09,363][vit][INFO] - Epoch: 5/100
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+ [2026-07-10 03:10:58,132][vit][INFO] - Train loss=4.1616 acc@1=0.0706 acc@5=0.2193 Time=48.77s
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+ [2026-07-10 03:10:58,133][vit][INFO] - Epoch: 6/100
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+ [2026-07-10 03:11:45,808][vit][INFO] - Train loss=4.0638 acc@1=0.0851 acc@5=0.2528 Time=47.67s
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+ [2026-07-10 03:11:45,809][vit][INFO] - Epoch: 7/100
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+ [2026-07-10 03:12:33,465][vit][INFO] - Train loss=3.9489 acc@1=0.1007 acc@5=0.2862 Time=47.66s
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+ [2026-07-10 03:12:33,465][vit][INFO] - Epoch: 8/100
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+ [2026-07-10 03:13:20,401][vit][INFO] - Train loss=3.8268 acc@1=0.1200 acc@5=0.3232 Time=46.94s
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+ [2026-07-10 03:13:20,401][vit][INFO] - Epoch: 9/100
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+ [2026-07-10 03:14:08,354][vit][INFO] - Train loss=3.7052 acc@1=0.1397 acc@5=0.3582 Time=47.95s
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+ [2026-07-10 03:14:08,354][vit][INFO] - Epoch: 10/100
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+ [2026-07-10 03:14:57,970][vit][INFO] - Train loss=3.5966 acc@1=0.1592 acc@5=0.3899 Time=49.62s
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+ [2026-07-10 03:15:12,512][vit][INFO] - Val loss=3.3331 acc@1=0.2048 acc@5=0.4623 Time=14.54s
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+ [2026-07-10 03:15:12,514][vit][INFO] - Epoch: 11/100
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+ [2026-07-10 03:16:00,322][vit][INFO] - Train loss=3.4812 acc@1=0.1783 acc@5=0.4239 Time=47.81s
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+ [2026-07-10 03:16:00,322][vit][INFO] - Epoch: 12/100
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+ [2026-07-10 03:16:49,060][vit][INFO] - Train loss=3.3718 acc@1=0.1993 acc@5=0.4553 Time=48.74s
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+ [2026-07-10 03:16:49,061][vit][INFO] - Epoch: 13/100
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+ [2026-07-10 03:17:37,705][vit][INFO] - Train loss=3.2609 acc@1=0.2192 acc@5=0.4848 Time=48.64s
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+ [2026-07-10 03:17:37,705][vit][INFO] - Epoch: 14/100
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+ [2026-07-10 03:18:27,126][vit][INFO] - Train loss=3.1569 acc@1=0.2398 acc@5=0.5126 Time=49.42s
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+ [2026-07-10 03:18:27,126][vit][INFO] - Epoch: 15/100
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+ [2026-07-10 03:19:16,503][vit][INFO] - Train loss=3.0653 acc@1=0.2556 acc@5=0.5354 Time=49.38s
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+ [2026-07-10 03:19:16,504][vit][INFO] - Epoch: 16/100
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+ [2026-07-10 03:20:05,816][vit][INFO] - Train loss=2.9701 acc@1=0.2776 acc@5=0.5591 Time=49.31s
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+ [2026-07-10 03:20:05,816][vit][INFO] - Epoch: 17/100
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+ [2026-07-10 03:20:54,389][vit][INFO] - Train loss=2.8903 acc@1=0.2946 acc@5=0.5773 Time=48.57s
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+ [2026-07-10 03:20:54,389][vit][INFO] - Epoch: 18/100
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+ [2026-07-10 03:21:43,536][vit][INFO] - Train loss=2.8117 acc@1=0.3098 acc@5=0.5952 Time=49.15s
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+ [2026-07-10 03:21:43,536][vit][INFO] - Epoch: 19/100
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+ [2026-07-10 03:22:31,008][vit][INFO] - Train loss=2.7374 acc@1=0.3232 acc@5=0.6152 Time=47.47s
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+ [2026-07-10 03:22:31,008][vit][INFO] - Epoch: 20/100
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+ [2026-07-10 03:23:19,730][vit][INFO] - Train loss=2.6650 acc@1=0.3399 acc@5=0.6316 Time=48.72s
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+ [2026-07-10 03:23:34,107][vit][INFO] - Val loss=2.3176 acc@1=0.4077 acc@5=0.7047 Time=14.38s
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+ [2026-07-10 03:23:34,148][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/MobileViT-XXS-food101-10-07-26-030506/MobileViT-XXS-food101.pt
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+ [2026-07-10 03:23:34,148][vit][INFO] - Epoch: 21/100
66
+ [2026-07-10 03:24:23,478][vit][INFO] - Train loss=2.5940 acc@1=0.3540 acc@5=0.6437 Time=49.33s
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+ [2026-07-10 03:24:23,478][vit][INFO] - Epoch: 22/100
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+ [2026-07-10 03:25:12,554][vit][INFO] - Train loss=2.5278 acc@1=0.3687 acc@5=0.6614 Time=49.08s
69
+ [2026-07-10 03:25:12,554][vit][INFO] - Epoch: 23/100
70
+ [2026-07-10 03:26:02,530][vit][INFO] - Train loss=2.4660 acc@1=0.3823 acc@5=0.6734 Time=49.98s
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+ [2026-07-10 03:26:02,531][vit][INFO] - Epoch: 24/100
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+ [2026-07-10 03:26:50,720][vit][INFO] - Train loss=2.4168 acc@1=0.3937 acc@5=0.6841 Time=48.19s
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+ [2026-07-10 03:26:50,721][vit][INFO] - Epoch: 25/100
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+ [2026-07-10 03:27:39,691][vit][INFO] - Train loss=2.3623 acc@1=0.4035 acc@5=0.6946 Time=48.97s
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+ [2026-07-10 03:27:39,692][vit][INFO] - Epoch: 26/100
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+ [2026-07-10 03:28:29,342][vit][INFO] - Train loss=2.3192 acc@1=0.4152 acc@5=0.7032 Time=49.65s
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+ [2026-07-10 03:28:29,343][vit][INFO] - Epoch: 27/100
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+ [2026-07-10 03:29:19,013][vit][INFO] - Train loss=2.2654 acc@1=0.4283 acc@5=0.7139 Time=49.67s
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+ [2026-07-10 03:29:19,014][vit][INFO] - Epoch: 28/100
80
+ [2026-07-10 03:30:08,779][vit][INFO] - Train loss=2.2171 acc@1=0.4384 acc@5=0.7228 Time=49.76s
81
+ [2026-07-10 03:30:08,780][vit][INFO] - Epoch: 29/100
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+ [2026-07-10 03:30:58,734][vit][INFO] - Train loss=2.1804 acc@1=0.4477 acc@5=0.7301 Time=49.95s
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+ [2026-07-10 03:30:58,734][vit][INFO] - Epoch: 30/100
84
+ [2026-07-10 03:31:48,628][vit][INFO] - Train loss=2.1346 acc@1=0.4564 acc@5=0.7393 Time=49.89s
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+ [2026-07-10 03:32:03,241][vit][INFO] - Val loss=1.8921 acc@1=0.5018 acc@5=0.7862 Time=14.61s
86
+ [2026-07-10 03:32:03,242][vit][INFO] - Epoch: 31/100
87
+ [2026-07-10 03:32:52,049][vit][INFO] - Train loss=2.0947 acc@1=0.4657 acc@5=0.7469 Time=48.81s
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+ [2026-07-10 03:32:52,050][vit][INFO] - Epoch: 32/100
89
+ [2026-07-10 03:33:41,573][vit][INFO] - Train loss=2.0633 acc@1=0.4729 acc@5=0.7524 Time=49.52s
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+ [2026-07-10 03:33:41,573][vit][INFO] - Epoch: 33/100
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+ [2026-07-10 03:34:31,347][vit][INFO] - Train loss=2.0218 acc@1=0.4814 acc@5=0.7603 Time=49.77s
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+ [2026-07-10 03:34:31,347][vit][INFO] - Epoch: 34/100
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+ [2026-07-10 03:35:21,394][vit][INFO] - Train loss=1.9913 acc@1=0.4908 acc@5=0.7656 Time=50.05s
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+ [2026-07-10 03:35:21,394][vit][INFO] - Epoch: 35/100
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+ [2026-07-10 03:36:11,286][vit][INFO] - Train loss=1.9555 acc@1=0.4977 acc@5=0.7707 Time=49.89s
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+ [2026-07-10 03:36:11,287][vit][INFO] - Epoch: 36/100
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+ [2026-07-10 03:37:00,189][vit][INFO] - Train loss=1.9239 acc@1=0.5058 acc@5=0.7771 Time=48.90s
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+ [2026-07-10 03:37:00,189][vit][INFO] - Epoch: 37/100
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+ [2026-07-10 03:37:50,145][vit][INFO] - Train loss=1.8975 acc@1=0.5099 acc@5=0.7837 Time=49.96s
100
+ [2026-07-10 03:37:50,145][vit][INFO] - Epoch: 38/100
101
+ [2026-07-10 03:38:39,295][vit][INFO] - Train loss=1.8711 acc@1=0.5172 acc@5=0.7872 Time=49.15s
102
+ [2026-07-10 03:38:39,296][vit][INFO] - Epoch: 39/100
103
+ [2026-07-10 03:39:27,618][vit][INFO] - Train loss=1.8412 acc@1=0.5227 acc@5=0.7907 Time=48.32s
104
+ [2026-07-10 03:39:27,619][vit][INFO] - Epoch: 40/100
105
+ [2026-07-10 03:40:17,482][vit][INFO] - Train loss=1.8150 acc@1=0.5289 acc@5=0.7954 Time=49.86s
106
+ [2026-07-10 03:40:32,582][vit][INFO] - Val loss=1.6549 acc@1=0.5620 acc@5=0.8227 Time=15.10s
107
+ [2026-07-10 03:40:32,626][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/MobileViT-XXS-food101-10-07-26-030506/MobileViT-XXS-food101.pt
108
+ [2026-07-10 03:40:32,626][vit][INFO] - Epoch: 41/100
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+ [2026-07-10 03:41:21,847][vit][INFO] - Train loss=1.7891 acc@1=0.5365 acc@5=0.8019 Time=49.22s
110
+ [2026-07-10 03:41:21,848][vit][INFO] - Epoch: 42/100
111
+ [2026-07-10 03:42:10,428][vit][INFO] - Train loss=1.7644 acc@1=0.5399 acc@5=0.8050 Time=48.58s
112
+ [2026-07-10 03:42:10,428][vit][INFO] - Epoch: 43/100
113
+ [2026-07-10 03:42:59,756][vit][INFO] - Train loss=1.7467 acc@1=0.5462 acc@5=0.8077 Time=49.33s
114
+ [2026-07-10 03:42:59,756][vit][INFO] - Epoch: 44/100
115
+ [2026-07-10 03:43:48,581][vit][INFO] - Train loss=1.7227 acc@1=0.5508 acc@5=0.8121 Time=48.82s
116
+ [2026-07-10 03:43:48,581][vit][INFO] - Epoch: 45/100
117
+ [2026-07-10 03:44:37,994][vit][INFO] - Train loss=1.7059 acc@1=0.5531 acc@5=0.8149 Time=49.41s
118
+ [2026-07-10 03:44:37,995][vit][INFO] - Epoch: 46/100
119
+ [2026-07-10 03:45:25,646][vit][INFO] - Train loss=1.6852 acc@1=0.5581 acc@5=0.8179 Time=47.65s
120
+ [2026-07-10 03:45:25,647][vit][INFO] - Epoch: 47/100
121
+ [2026-07-10 03:46:14,617][vit][INFO] - Train loss=1.6579 acc@1=0.5670 acc@5=0.8226 Time=48.97s
122
+ [2026-07-10 03:46:14,618][vit][INFO] - Epoch: 48/100
123
+ [2026-07-10 03:47:03,941][vit][INFO] - Train loss=1.6438 acc@1=0.5693 acc@5=0.8224 Time=49.32s
124
+ [2026-07-10 03:47:03,942][vit][INFO] - Epoch: 49/100
125
+ [2026-07-10 03:47:53,126][vit][INFO] - Train loss=1.6321 acc@1=0.5717 acc@5=0.8268 Time=49.18s
126
+ [2026-07-10 03:47:53,126][vit][INFO] - Epoch: 50/100
127
+ [2026-07-10 03:48:41,842][vit][INFO] - Train loss=1.6141 acc@1=0.5758 acc@5=0.8297 Time=48.72s
128
+ [2026-07-10 03:48:56,243][vit][INFO] - Val loss=1.5285 acc@1=0.5945 acc@5=0.8455 Time=14.40s
129
+ [2026-07-10 03:48:56,243][vit][INFO] - Epoch: 51/100
130
+ [2026-07-10 03:49:45,502][vit][INFO] - Train loss=1.5896 acc@1=0.5818 acc@5=0.8341 Time=49.26s
131
+ [2026-07-10 03:49:45,502][vit][INFO] - Epoch: 52/100
132
+ [2026-07-10 03:50:34,513][vit][INFO] - Train loss=1.5805 acc@1=0.5826 acc@5=0.8346 Time=49.01s
133
+ [2026-07-10 03:50:34,514][vit][INFO] - Epoch: 53/100
134
+ [2026-07-10 03:51:23,925][vit][INFO] - Train loss=1.5678 acc@1=0.5867 acc@5=0.8361 Time=49.41s
135
+ [2026-07-10 03:51:23,926][vit][INFO] - Epoch: 54/100
136
+ [2026-07-10 03:52:14,054][vit][INFO] - Train loss=1.5513 acc@1=0.5891 acc@5=0.8393 Time=50.13s
137
+ [2026-07-10 03:52:14,054][vit][INFO] - Epoch: 55/100
138
+ [2026-07-10 03:53:02,673][vit][INFO] - Train loss=1.5405 acc@1=0.5926 acc@5=0.8409 Time=48.62s
139
+ [2026-07-10 03:53:02,674][vit][INFO] - Epoch: 56/100
140
+ [2026-07-10 03:53:51,624][vit][INFO] - Train loss=1.5235 acc@1=0.5964 acc@5=0.8449 Time=48.95s
141
+ [2026-07-10 03:53:51,625][vit][INFO] - Epoch: 57/100
142
+ [2026-07-10 03:54:41,277][vit][INFO] - Train loss=1.5177 acc@1=0.5995 acc@5=0.8450 Time=49.65s
143
+ [2026-07-10 03:54:41,278][vit][INFO] - Epoch: 58/100
144
+ [2026-07-10 03:55:28,952][vit][INFO] - Train loss=1.5059 acc@1=0.6017 acc@5=0.8452 Time=47.67s
145
+ [2026-07-10 03:55:28,952][vit][INFO] - Epoch: 59/100
146
+ [2026-07-10 03:56:16,911][vit][INFO] - Train loss=1.4935 acc@1=0.6032 acc@5=0.8488 Time=47.96s
147
+ [2026-07-10 03:56:16,912][vit][INFO] - Epoch: 60/100
148
+ [2026-07-10 03:57:05,929][vit][INFO] - Train loss=1.4917 acc@1=0.6040 acc@5=0.8479 Time=49.02s
149
+ [2026-07-10 03:57:20,617][vit][INFO] - Val loss=1.4688 acc@1=0.6105 acc@5=0.8536 Time=14.69s
150
+ [2026-07-10 03:57:20,660][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/MobileViT-XXS-food101-10-07-26-030506/MobileViT-XXS-food101.pt
151
+ [2026-07-10 03:57:20,661][vit][INFO] - Epoch: 61/100
152
+ [2026-07-10 03:58:09,176][vit][INFO] - Train loss=1.4807 acc@1=0.6091 acc@5=0.8499 Time=48.52s
153
+ [2026-07-10 03:58:09,177][vit][INFO] - Epoch: 62/100
154
+ [2026-07-10 03:58:58,655][vit][INFO] - Train loss=1.4744 acc@1=0.6093 acc@5=0.8517 Time=49.48s
155
+ [2026-07-10 03:58:58,655][vit][INFO] - Epoch: 63/100
156
+ [2026-07-10 03:59:47,464][vit][INFO] - Train loss=1.4607 acc@1=0.6143 acc@5=0.8530 Time=48.81s
157
+ [2026-07-10 03:59:47,465][vit][INFO] - Epoch: 64/100
158
+ [2026-07-10 04:00:36,544][vit][INFO] - Train loss=1.4492 acc@1=0.6166 acc@5=0.8544 Time=49.08s
159
+ [2026-07-10 04:00:36,545][vit][INFO] - Epoch: 65/100
160
+ [2026-07-10 04:01:25,047][vit][INFO] - Train loss=1.4453 acc@1=0.6155 acc@5=0.8549 Time=48.50s
161
+ [2026-07-10 04:01:25,049][vit][INFO] - Epoch: 66/100
162
+ [2026-07-10 04:02:15,556][vit][INFO] - Train loss=1.4430 acc@1=0.6171 acc@5=0.8567 Time=50.51s
163
+ [2026-07-10 04:02:15,557][vit][INFO] - Epoch: 67/100
164
+ [2026-07-10 04:03:04,772][vit][INFO] - Train loss=1.4334 acc@1=0.6187 acc@5=0.8566 Time=49.22s
165
+ [2026-07-10 04:03:04,774][vit][INFO] - Epoch: 68/100
166
+ [2026-07-10 04:03:53,954][vit][INFO] - Train loss=1.4318 acc@1=0.6204 acc@5=0.8581 Time=49.18s
167
+ [2026-07-10 04:03:53,955][vit][INFO] - Epoch: 69/100
168
+ [2026-07-10 04:04:40,626][vit][INFO] - Train loss=1.4285 acc@1=0.6215 acc@5=0.8590 Time=46.67s
169
+ [2026-07-10 04:04:40,626][vit][INFO] - Epoch: 70/100
170
+ [2026-07-10 04:05:29,187][vit][INFO] - Train loss=1.4225 acc@1=0.6207 acc@5=0.8589 Time=48.56s
171
+ [2026-07-10 04:05:44,225][vit][INFO] - Val loss=1.4422 acc@1=0.6160 acc@5=0.8584 Time=15.04s
172
+ [2026-07-10 04:05:44,226][vit][INFO] - Epoch: 71/100
173
+ [2026-07-10 04:06:32,098][vit][INFO] - Train loss=1.4254 acc@1=0.6195 acc@5=0.8594 Time=47.87s
174
+ [2026-07-10 04:06:32,098][vit][INFO] - Epoch: 72/100
175
+ [2026-07-10 04:07:20,478][vit][INFO] - Train loss=1.4171 acc@1=0.6224 acc@5=0.8594 Time=48.38s
176
+ [2026-07-10 04:07:20,478][vit][INFO] - Epoch: 73/100
177
+ [2026-07-10 04:08:09,298][vit][INFO] - Train loss=1.4203 acc@1=0.6222 acc@5=0.8593 Time=48.82s
178
+ [2026-07-10 04:08:09,300][vit][INFO] - Epoch: 74/100
179
+ [2026-07-10 04:08:59,213][vit][INFO] - Train loss=1.4110 acc@1=0.6260 acc@5=0.8606 Time=49.91s
180
+ [2026-07-10 04:08:59,214][vit][INFO] - Epoch: 75/100
181
+ [2026-07-10 04:09:48,027][vit][INFO] - Train loss=1.4056 acc@1=0.6240 acc@5=0.8615 Time=48.81s
182
+ [2026-07-10 04:09:48,027][vit][INFO] - Epoch: 76/100
183
+ [2026-07-10 04:10:37,943][vit][INFO] - Train loss=1.4080 acc@1=0.6246 acc@5=0.8614 Time=49.92s
184
+ [2026-07-10 04:10:37,944][vit][INFO] - Epoch: 77/100
185
+ [2026-07-10 04:11:26,972][vit][INFO] - Train loss=1.4045 acc@1=0.6253 acc@5=0.8611 Time=49.03s
186
+ [2026-07-10 04:11:26,972][vit][INFO] - Epoch: 78/100
187
+ [2026-07-10 04:12:16,248][vit][INFO] - Train loss=1.3942 acc@1=0.6273 acc@5=0.8640 Time=49.28s
188
+ [2026-07-10 04:12:16,249][vit][INFO] - Epoch: 79/100
189
+ [2026-07-10 04:13:06,442][vit][INFO] - Train loss=1.3958 acc@1=0.6272 acc@5=0.8631 Time=50.19s
190
+ [2026-07-10 04:13:06,443][vit][INFO] - Epoch: 80/100
191
+ [2026-07-10 04:13:56,293][vit][INFO] - Train loss=1.3940 acc@1=0.6266 acc@5=0.8629 Time=49.85s
192
+ [2026-07-10 04:14:10,906][vit][INFO] - Val loss=1.4340 acc@1=0.6175 acc@5=0.8591 Time=14.61s
193
+ [2026-07-10 04:14:10,949][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/MobileViT-XXS-food101-10-07-26-030506/MobileViT-XXS-food101.pt
194
+ [2026-07-10 04:14:10,950][vit][INFO] - Epoch: 81/100
195
+ [2026-07-10 04:14:59,894][vit][INFO] - Train loss=1.3889 acc@1=0.6294 acc@5=0.8643 Time=48.94s
196
+ [2026-07-10 04:14:59,895][vit][INFO] - Epoch: 82/100
197
+ [2026-07-10 04:15:49,437][vit][INFO] - Train loss=1.3877 acc@1=0.6299 acc@5=0.8631 Time=49.54s
198
+ [2026-07-10 04:15:49,438][vit][INFO] - Epoch: 83/100
199
+ [2026-07-10 04:16:38,164][vit][INFO] - Train loss=1.3828 acc@1=0.6301 acc@5=0.8649 Time=48.73s
200
+ [2026-07-10 04:16:38,165][vit][INFO] - Epoch: 84/100
201
+ [2026-07-10 04:17:27,807][vit][INFO] - Train loss=1.3804 acc@1=0.6309 acc@5=0.8660 Time=49.64s
202
+ [2026-07-10 04:17:27,808][vit][INFO] - Epoch: 85/100
203
+ [2026-07-10 04:18:17,035][vit][INFO] - Train loss=1.3756 acc@1=0.6320 acc@5=0.8660 Time=49.23s
204
+ [2026-07-10 04:18:17,036][vit][INFO] - Epoch: 86/100
205
+ [2026-07-10 04:19:06,044][vit][INFO] - Train loss=1.3725 acc@1=0.6347 acc@5=0.8660 Time=49.01s
206
+ [2026-07-10 04:19:06,044][vit][INFO] - Epoch: 87/100
207
+ [2026-07-10 04:19:56,193][vit][INFO] - Train loss=1.3662 acc@1=0.6341 acc@5=0.8673 Time=50.15s
208
+ [2026-07-10 04:19:56,193][vit][INFO] - Epoch: 88/100
209
+ [2026-07-10 04:20:45,651][vit][INFO] - Train loss=1.3644 acc@1=0.6335 acc@5=0.8669 Time=49.46s
210
+ [2026-07-10 04:20:45,652][vit][INFO] - Epoch: 89/100
211
+ [2026-07-10 04:21:34,348][vit][INFO] - Train loss=1.3612 acc@1=0.6346 acc@5=0.8689 Time=48.70s
212
+ [2026-07-10 04:21:34,349][vit][INFO] - Epoch: 90/100
213
+ [2026-07-10 04:22:22,493][vit][INFO] - Train loss=1.3611 acc@1=0.6368 acc@5=0.8673 Time=48.14s
214
+ [2026-07-10 04:22:37,168][vit][INFO] - Val loss=1.4263 acc@1=0.6221 acc@5=0.8604 Time=14.67s
215
+ [2026-07-10 04:22:37,169][vit][INFO] - Epoch: 91/100
216
+ [2026-07-10 04:23:26,357][vit][INFO] - Train loss=1.3578 acc@1=0.6365 acc@5=0.8692 Time=49.19s
217
+ [2026-07-10 04:23:26,358][vit][INFO] - Epoch: 92/100
218
+ [2026-07-10 04:24:15,867][vit][INFO] - Train loss=1.3505 acc@1=0.6384 acc@5=0.8710 Time=49.51s
219
+ [2026-07-10 04:24:15,867][vit][INFO] - Epoch: 93/100
220
+ [2026-07-10 04:25:04,899][vit][INFO] - Train loss=1.3512 acc@1=0.6381 acc@5=0.8707 Time=49.03s
221
+ [2026-07-10 04:25:04,899][vit][INFO] - Epoch: 94/100
222
+ [2026-07-10 04:25:54,292][vit][INFO] - Train loss=1.3427 acc@1=0.6409 acc@5=0.8713 Time=49.39s
223
+ [2026-07-10 04:25:54,292][vit][INFO] - Epoch: 95/100
224
+ [2026-07-10 04:26:44,382][vit][INFO] - Train loss=1.3419 acc@1=0.6405 acc@5=0.8703 Time=50.09s
225
+ [2026-07-10 04:26:44,382][vit][INFO] - Epoch: 96/100
226
+ [2026-07-10 04:27:33,795][vit][INFO] - Train loss=1.3427 acc@1=0.6395 acc@5=0.8712 Time=49.41s
227
+ [2026-07-10 04:27:33,796][vit][INFO] - Epoch: 97/100
228
+ [2026-07-10 04:28:22,598][vit][INFO] - Train loss=1.3431 acc@1=0.6400 acc@5=0.8710 Time=48.80s
229
+ [2026-07-10 04:28:22,599][vit][INFO] - Epoch: 98/100
230
+ [2026-07-10 04:29:12,921][vit][INFO] - Train loss=1.3377 acc@1=0.6416 acc@5=0.8713 Time=50.32s
231
+ [2026-07-10 04:29:12,922][vit][INFO] - Epoch: 99/100
232
+ [2026-07-10 04:30:02,193][vit][INFO] - Train loss=1.3339 acc@1=0.6418 acc@5=0.8719 Time=49.27s
233
+ [2026-07-10 04:30:02,194][vit][INFO] - Epoch: 100/100
234
+ [2026-07-10 04:30:51,417][vit][INFO] - Train loss=1.3345 acc@1=0.6419 acc@5=0.8714 Time=49.22s
235
+ [2026-07-10 04:31:06,051][vit][INFO] - Val loss=1.4207 acc@1=0.6241 acc@5=0.8630 Time=14.63s
236
+ [2026-07-10 04:31:06,129][vit][INFO] - Saved checkpoint to /home/noshai/workspace/scratch-pad/modelz-esp/logs/MobileViT-XXS-food101-10-07-26-030506/MobileViT-XXS-food101.pt
README.md ADDED
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1
+ ---
2
+ library_name: pytorch
3
+ pipeline_tag: image-classification
4
+ datasets:
5
+ - food101
6
+ tags:
7
+ - food101
8
+ - image-classification
9
+ - vision-transformer
10
+ - mobilevit
11
+ license: mit
12
+ ---
13
+
14
+ # MobileViT-XXS on Food-101
15
+
16
+ Raw training checkpoint exported from this repository:
17
+ https://github.com/mnjm/vit
18
+
19
+ ## Files
20
+
21
+ - `MobileViT-XXS-food101.pt`: raw checkpoint from this training run
22
+ - `config/`: Hydra config snapshot saved with the run
23
+
24
+ ## Checkpoint
25
+
26
+ - Path: `MobileViT-XXS-food101.pt`
27
+ - Dataset: `food101`
28
+ - Model: `MobileViT-XXS`
29
+
30
+ ## Metrics
31
+
32
+ | Split | Loss | Acc@1 | Acc@5 |
33
+ | --- | ---: | ---: | ---: |
34
+ | Train | `1.2891` | `65.42%` | `87.77%` |
35
+ | Val | `1.4212` | `62.42%` | `86.32%` |
36
+
37
+ ## Usage
38
+
39
+ This is a raw checkpoint dump. To use it check [here](https://github.com/mnjm/vit/compute_acc.py)
config/config.yaml ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset:
2
+ name: food101
3
+ img_size: 224
4
+ img_chls: 3
5
+ aug:
6
+ hor_flip_aug: true
7
+ auto_augment: false
8
+ rand_augment: true
9
+ n_class: 101
10
+ model:
11
+ name: MobileViT-XXS
12
+ img_size: ${dataset.img_size}
13
+ dims:
14
+ - 64
15
+ - 80
16
+ - 96
17
+ chls:
18
+ - 16
19
+ - 16
20
+ - 24
21
+ - 24
22
+ - 48
23
+ - 48
24
+ - 64
25
+ - 64
26
+ - 80
27
+ - 80
28
+ - 320
29
+ patch_size: 2
30
+ n_classes: ${dataset.n_class}
31
+ expand_f: 2.0
32
+ mlp_ratio: 2.0
33
+ rng_seed: 31415
34
+ interactive: true
35
+ model_name: ${model.name}-${dataset.name}
36
+ n_epochs: 100
37
+ save_every_epoch: 20
38
+ val_every_epoch: 10
39
+ init_from: scratch
40
+ device_type: cuda
41
+ torch_compile: true
42
+ enable_tf32: true
43
+ clip_grad_norm_1: true
44
+ autocast_dtype: bf16
45
+ wandb: true
46
+ dataloader:
47
+ batch_size: 256
48
+ num_workers: 4
49
+ pin_memory: true
50
+ drop_last: true
51
+ optimizer:
52
+ _target_: torch.optim.AdamW
53
+ lr: 0.0003
54
+ betas:
55
+ - 0.9
56
+ - 0.99
57
+ weight_decay: 0.1
58
+ eps: 1.0e-08
59
+ fused: true
60
+ lr_scheduler:
61
+ name: cosine-with-linear-warmup
62
+ min_lr_pct: 0.1
63
+ warmup_pct: 0.1
64
+ decay_step_pct: 0.6
65
+ deit:
66
+ enable: false
67
+ teacher_name: null
68
+ logging:
69
+ log_dir: ./logs
70
+ wandb:
71
+ enable: ${wandb}
72
+ project: vit
config/hydra.yaml ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: ${logging.log_dir}/${hydra.job.name}
4
+ sweep:
5
+ dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
6
+ subdir: ${hydra.job.num}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ formatters:
71
+ simple:
72
+ format: '[%(asctime)s][HYDRA] %(message)s'
73
+ handlers:
74
+ console:
75
+ class: logging.StreamHandler
76
+ formatter: simple
77
+ stream: ext://sys.stdout
78
+ root:
79
+ level: INFO
80
+ handlers:
81
+ - console
82
+ loggers:
83
+ logging_example:
84
+ level: DEBUG
85
+ disable_existing_loggers: false
86
+ job_logging:
87
+ version: 1
88
+ formatters:
89
+ simple:
90
+ format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
91
+ handlers:
92
+ console:
93
+ class: logging.StreamHandler
94
+ formatter: simple
95
+ stream: ext://sys.stdout
96
+ file:
97
+ class: logging.FileHandler
98
+ formatter: simple
99
+ filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
100
+ root:
101
+ level: INFO
102
+ handlers:
103
+ - console
104
+ - file
105
+ disable_existing_loggers: false
106
+ env: {}
107
+ mode: RUN
108
+ searchpath: []
109
+ callbacks: {}
110
+ output_subdir: config
111
+ overrides:
112
+ hydra:
113
+ - hydra.mode=RUN
114
+ task:
115
+ - +run=mobilevit-food101
116
+ - wandb=true
117
+ job:
118
+ name: ${model_name}-${now_ist:%d-%m-%y-%H%M%S}
119
+ chdir: null
120
+ override_dirname: +run=mobilevit-food101,wandb=true
121
+ id: ???
122
+ num: ???
123
+ config_name: default
124
+ env_set: {}
125
+ env_copy: []
126
+ config:
127
+ override_dirname:
128
+ kv_sep: '='
129
+ item_sep: ','
130
+ exclude_keys: []
131
+ runtime:
132
+ version: 1.3.2
133
+ version_base: '1.3'
134
+ cwd: /home/noshai/workspace/scratch-pad/modelz-esp
135
+ config_sources:
136
+ - path: hydra.conf
137
+ schema: pkg
138
+ provider: hydra
139
+ - path: /home/noshai/workspace/scratch-pad/modelz-esp/config
140
+ schema: file
141
+ provider: main
142
+ - path: ''
143
+ schema: structured
144
+ provider: schema
145
+ output_dir: /home/noshai/workspace/scratch-pad/modelz-esp/logs/MobileViT-XXS-food101-10-07-26-030506
146
+ choices:
147
+ run: mobilevit-food101
148
+ model: MobileViT-XXS
149
+ dataset: food101
150
+ hydra/env: default
151
+ hydra/callbacks: null
152
+ hydra/job_logging: default
153
+ hydra/hydra_logging: default
154
+ hydra/hydra_help: default
155
+ hydra/help: default
156
+ hydra/sweeper: basic
157
+ hydra/launcher: basic
158
+ hydra/output: default
159
+ verbose: false
config/overrides.yaml ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ - +run=mobilevit-food101
2
+ - wandb=true