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camera_ready_dmn_tf_searched_vit_0.txt
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camera_ready_dmn_tf_searched_vit_0.txt
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processing the datasetI
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.24
processing the datasetFlower102
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc74.79
processing the datasetDTD
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc54.61
processing the datasetPets
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc91.88
processing the datasetCars
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc67.77
processing the datasetUCF101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.43
processing the datasetCaltech101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.09
processing the datasetFood101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.06
processing the datasetSUN397
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc69.99
processing the datasetAircraft
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc29.85
processing the dataseteurosat
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc57.37
{"arch": "ViT-B/16", "batch_size": 32, "beta": 5.5, "ctx_init": "a_photo_of_a", "data": "/home/notebook/data/group/yabin/clip_tuning_datasets/", "dataset_mode": "test", "epoch": 20, "eps": 1e-08, "ft": false, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_tf_searched_vit_0", "lr": 0.1, "mapping": "bias", "memory_size": 50, "n_augview": 0, "n_ctx": 4, "n_shot": 0, "num_important_channel": 0, "optimizer": "adamw", "position": "all", "print_freq": 200, "resolution": 224, "seed": 0, "selection_p": 0.1, "set_id": "eurosat", "shared_param": false, "test_sets": "I/Flower102/DTD/Pets/Cars/UCF101/Caltech101/Food101/SUN397/Aircraft/eurosat", "text_prompt": "tip_cupl", "use_searched_param": true, "wd": 0.0001, "workers": 4}
======== Result Summary ========
params: bs lr selection_p
params: 32 0.1 0.1
[set_id] Top-1 acc. Top-1 local acc, Top-1 global acc Searched acc beta gama.
I Flower102 DTD Pets Cars UCF101 Caltech101 Food101 SUN397 Aircraft eurosat mean
69.932 73.041 53.191 90.324 66.173 70.473 94.077 84.436 68.111 27.213 55.728 752.700
72.038 74.706 54.610 90.624 67.392 72.191 94.320 81.591 69.884 29.493 56.086 762.936
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
72.242 74.787 54.610 91.878 67.765 72.429 95.091 85.059 69.995 29.853 57.370 771.080
1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 11.000
1.000 10.000 10.000 1.000 0.300 0.300 0.300 0.300 3.000 1.000 0.300 27.500
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
processing the datasetI
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.35
processing the datasetFlower102
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc84.53
processing the datasetDTD
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc57.09
processing the datasetPets
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc91.93
processing the datasetCars
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc68.80
processing the datasetUCF101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc73.65
processing the datasetCaltech101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.13
processing the datasetFood101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.06
processing the datasetSUN397
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc70.26
processing the datasetAircraft
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc30.72
processing the dataseteurosat
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc61.17
{"arch": "ViT-B/16", "batch_size": 32, "beta": 5.5, "ctx_init": "a_photo_of_a", "data": "/home/notebook/data/group/yabin/clip_tuning_datasets/", "dataset_mode": "test", "epoch": 20, "eps": 1e-08, "ft": false, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_tf_searched_vit_0", "lr": 0.1, "mapping": "bias", "memory_size": 50, "n_augview": 0, "n_ctx": 4, "n_shot": 1, "num_important_channel": 0, "optimizer": "adamw", "position": "all", "print_freq": 200, "resolution": 224, "seed": 0, "selection_p": 0.1, "set_id": "eurosat", "shared_param": false, "test_sets": "I/Flower102/DTD/Pets/Cars/UCF101/Caltech101/Food101/SUN397/Aircraft/eurosat", "text_prompt": "tip_cupl", "use_searched_param": true, "wd": 0.0001, "workers": 4}
======== Result Summary ========
params: bs lr selection_p
params: 32 0.1 0.1
[set_id] Top-1 acc. Top-1 local acc, Top-1 global acc Searched acc beta gama.
I Flower102 DTD Pets Cars UCF101 Caltech101 Food101 SUN397 Aircraft eurosat mean
69.932 73.041 53.191 90.324 66.173 70.473 94.077 84.436 68.111 27.213 55.728 752.700
72.126 75.842 55.615 90.951 68.126 72.667 94.564 81.729 69.940 29.883 57.432 768.875
31.756 71.782 34.161 44.208 35.244 50.859 79.959 48.218 38.902 19.412 49.025 503.526
72.352 84.531 57.092 91.932 68.797 73.645 95.132 85.059 70.257 30.723 61.173 790.694
1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 11.000
1.000 0.100 300.000 1.000 1.000 1000.000 0.300 0.300 0.300 3.000 1.000 1308.000
0.300 1.000 300.000 0.300 0.300 1000.000 0.001 0.100 0.300 1.000 1.000 1304.301
processing the datasetI
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.42
processing the datasetFlower102
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc91.11
processing the datasetDTD
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc59.93
processing the datasetPets
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc91.96
processing the datasetCars
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc70.69
processing the datasetUCF101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc76.53
processing the datasetCaltech101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.50
processing the datasetFood101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.10
processing the datasetSUN397
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc70.88
processing the datasetAircraft
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc32.34
processing the dataseteurosat
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc67.78
{"arch": "ViT-B/16", "batch_size": 32, "beta": 5.5, "ctx_init": "a_photo_of_a", "data": "/home/notebook/data/group/yabin/clip_tuning_datasets/", "dataset_mode": "test", "epoch": 20, "eps": 1e-08, "ft": false, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_tf_searched_vit_0", "lr": 0.1, "mapping": "bias", "memory_size": 50, "n_augview": 0, "n_ctx": 4, "n_shot": 2, "num_important_channel": 0, "optimizer": "adamw", "position": "all", "print_freq": 200, "resolution": 224, "seed": 0, "selection_p": 0.1, "set_id": "eurosat", "shared_param": false, "test_sets": "I/Flower102/DTD/Pets/Cars/UCF101/Caltech101/Food101/SUN397/Aircraft/eurosat", "text_prompt": "tip_cupl", "use_searched_param": true, "wd": 0.0001, "workers": 4}
======== Result Summary ========
params: bs lr selection_p
params: 32 0.1 0.1
[set_id] Top-1 acc. Top-1 local acc, Top-1 global acc Searched acc beta gama.
I Flower102 DTD Pets Cars UCF101 Caltech101 Food101 SUN397 Aircraft eurosat mean
69.932 73.041 53.191 90.324 66.173 70.473 94.077 84.436 68.111 27.213 55.728 752.700
72.196 77.629 56.206 90.842 68.549 72.932 94.807 81.795 70.076 30.723 57.136 772.890
42.294 84.978 49.054 57.754 48.812 63.944 87.789 61.772 51.874 26.403 64.852 639.526
72.416 91.108 59.929 91.960 70.688 76.527 95.497 85.099 70.882 32.343 67.778 814.226
1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 11.000
1.000 1.000 300.000 1.000 1.000 1000.000 1.000 0.300 1.000 0.300 0.100 1306.700
0.300 3.000 300.000 0.010 1.000 1000.000 1.000 0.100 1.000 0.300 1.000 1307.710
processing the datasetI
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.55
processing the datasetFlower102
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc94.40
processing the datasetDTD
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc62.88
processing the datasetPets
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc91.91
processing the datasetCars
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc73.37
processing the datasetUCF101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc78.43
processing the datasetCaltech101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.86
processing the datasetFood101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.20
processing the datasetSUN397
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc71.74
processing the datasetAircraft
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc36.96
processing the dataseteurosat
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc76.72
{"arch": "ViT-B/16", "batch_size": 32, "beta": 5.5, "ctx_init": "a_photo_of_a", "data": "/home/notebook/data/group/yabin/clip_tuning_datasets/", "dataset_mode": "test", "epoch": 20, "eps": 1e-08, "ft": false, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_tf_searched_vit_0", "lr": 0.1, "mapping": "bias", "memory_size": 50, "n_augview": 0, "n_ctx": 4, "n_shot": 4, "num_important_channel": 0, "optimizer": "adamw", "position": "all", "print_freq": 200, "resolution": 224, "seed": 0, "selection_p": 0.1, "set_id": "eurosat", "shared_param": false, "test_sets": "I/Flower102/DTD/Pets/Cars/UCF101/Caltech101/Food101/SUN397/Aircraft/eurosat", "text_prompt": "tip_cupl", "use_searched_param": true, "wd": 0.0001, "workers": 4}
======== Result Summary ========
params: bs lr selection_p
params: 32 0.1 0.1
[set_id] Top-1 acc. Top-1 local acc, Top-1 global acc Searched acc beta gama.
I Flower102 DTD Pets Cars UCF101 Caltech101 Food101 SUN397 Aircraft eurosat mean
69.932 73.041 53.191 90.324 66.173 70.473 94.077 84.436 68.111 27.213 55.728 752.700
72.258 82.948 56.974 90.978 69.233 73.328 94.848 81.941 70.453 31.833 58.815 783.609
52.372 92.205 55.496 65.495 61.485 71.478 92.008 72.736 61.234 33.003 71.420 728.932
72.554 94.397 62.884 91.905 73.374 78.430 95.862 85.201 71.738 36.964 76.716 840.025
1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 11.000
1.000 1.000 300.000 1.000 0.300 0.300 3.000 0.300 1.000 0.300 0.300 308.500
0.300 3.000 300.000 0.001 1.000 1.000 3.000 0.300 1.000 1.000 1.000 311.601
processing the datasetI
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.88
processing the datasetFlower102
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc96.43
processing the datasetDTD
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc67.14
processing the datasetPets
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc92.07
processing the datasetCars
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc76.73
processing the datasetUCF101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc81.81
processing the datasetCaltech101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.98
processing the datasetFood101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.34
processing the datasetSUN397
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc73.56
processing the datasetAircraft
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc41.07
processing the dataseteurosat
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc80.54
{"arch": "ViT-B/16", "batch_size": 32, "beta": 5.5, "ctx_init": "a_photo_of_a", "data": "/home/notebook/data/group/yabin/clip_tuning_datasets/", "dataset_mode": "test", "epoch": 20, "eps": 1e-08, "ft": false, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_tf_searched_vit_0", "lr": 0.1, "mapping": "bias", "memory_size": 50, "n_augview": 0, "n_ctx": 4, "n_shot": 8, "num_important_channel": 0, "optimizer": "adamw", "position": "all", "print_freq": 200, "resolution": 224, "seed": 0, "selection_p": 0.1, "set_id": "eurosat", "shared_param": false, "test_sets": "I/Flower102/DTD/Pets/Cars/UCF101/Caltech101/Food101/SUN397/Aircraft/eurosat", "text_prompt": "tip_cupl", "use_searched_param": true, "wd": 0.0001, "workers": 4}
======== Result Summary ========
params: bs lr selection_p
params: 32 0.1 0.1
[set_id] Top-1 acc. Top-1 local acc, Top-1 global acc Searched acc beta gama.
I Flower102 DTD Pets Cars UCF101 Caltech101 Food101 SUN397 Aircraft eurosat mean
69.932 73.041 53.191 90.324 66.173 70.473 94.077 84.436 68.111 27.213 55.728 752.700
72.424 88.997 58.333 91.087 70.825 74.570 95.254 82.198 71.234 33.873 64.543 803.339
58.980 94.722 62.530 73.971 69.233 77.557 93.955 78.766 67.259 39.184 78.457 794.614
72.880 96.427 67.139 92.069 76.732 81.813 95.984 85.340 73.557 41.074 80.543 863.558
1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 11.000
1.000 1.000 1.000 1.000 0.300 0.300 3.000 0.300 0.300 0.100 0.300 8.600
1.000 3.000 3.000 0.300 1.000 1.000 3.000 0.300 1.000 1.000 1.000 15.600
processing the datasetI
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc73.28
processing the datasetFlower102
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc96.79
processing the datasetDTD
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc69.39
processing the datasetPets
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc92.64
processing the datasetCars
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc78.40
processing the datasetUCF101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc82.76
processing the datasetCaltech101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc96.15
processing the datasetFood101
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.69
processing the datasetSUN397
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc75.35
processing the datasetAircraft
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc44.61
processing the dataseteurosat
lr: 0.1, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc81.70
{"arch": "ViT-B/16", "batch_size": 32, "beta": 5.5, "ctx_init": "a_photo_of_a", "data": "/home/notebook/data/group/yabin/clip_tuning_datasets/", "dataset_mode": "test", "epoch": 20, "eps": 1e-08, "ft": false, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_tf_searched_vit_0", "lr": 0.1, "mapping": "bias", "memory_size": 50, "n_augview": 0, "n_ctx": 4, "n_shot": 16, "num_important_channel": 0, "optimizer": "adamw", "position": "all", "print_freq": 200, "resolution": 224, "seed": 0, "selection_p": 0.1, "set_id": "eurosat", "shared_param": false, "test_sets": "I/Flower102/DTD/Pets/Cars/UCF101/Caltech101/Food101/SUN397/Aircraft/eurosat", "text_prompt": "tip_cupl", "use_searched_param": true, "wd": 0.0001, "workers": 4}
======== Result Summary ========
params: bs lr selection_p
params: 32 0.1 0.1
[set_id] Top-1 acc. Top-1 local acc, Top-1 global acc Searched acc beta gama.
I Flower102 DTD Pets Cars UCF101 Caltech101 Food101 SUN397 Aircraft eurosat mean
69.932 73.041 53.191 90.324 66.173 70.473 94.077 84.436 68.111 27.213 55.728 752.700
72.646 94.316 62.530 91.333 73.759 77.161 95.375 82.475 72.967 37.234 68.951 828.747
63.892 95.737 67.612 79.695 73.934 79.302 94.402 81.911 71.441 43.384 80.938 832.248
73.282 96.793 69.385 92.641 78.398 82.765 96.146 85.690 75.350 44.614 81.704 876.768
1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 11.000
1.000 1.000 1.000 1.000 0.100 0.300 0.100 0.001 0.300 1.000 0.100 5.901
1.000 3.000 3.000 0.300 1.000 1.000 1.000 1.000 1.000 3.000 1.000 16.300