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camera_ready_dmn_searched_vit_0.txt
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camera_ready_dmn_searched_vit_0.txt
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processing the datasetI
lr: 1e-05, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc72.87
processing the datasetFlower102
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc89.24
processing the datasetDTD
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc62.06
processing the datasetPets
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc92.15
processing the datasetCars
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc72.59
processing the datasetUCF101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc79.17
processing the datasetCaltech101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.33
processing the datasetFood101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc84.98
processing the datasetSUN397
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc72.04
processing the datasetAircraft
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc33.39
processing the dataseteurosat
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc73.47
{"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": 100, "eps": 1e-08, "ft": true, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_searched_vit_0", "lr": 0.0001, "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 0.0001 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
70.502 87.414 58.629 91.115 70.016 75.654 94.523 84.347 70.101 31.143 67.568 801.011
72.610 88.551 61.939 90.597 72.105 79.170 94.767 81.650 71.904 32.853 71.938 818.084
34.398 76.370 35.993 44.890 36.824 51.044 80.446 49.013 39.496 20.492 51.457 520.423
72.872 89.241 62.057 92.150 72.590 79.170 95.335 84.983 72.035 33.393 73.469 827.296
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 1.000 100.000 0.300 0.300 0.300 1.000 1.000 107.900
0.300 0.001 0.001 0.001 0.030 0.001 0.001 0.030 0.100 0.001 0.300 0.766
processing the datasetI
lr: 1e-05, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc73.28
processing the datasetFlower102
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc92.25
processing the datasetDTD
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc65.07
processing the datasetPets
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc92.83
processing the datasetCars
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc74.70
processing the datasetUCF101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc81.92
processing the datasetCaltech101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc95.70
processing the datasetFood101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.00
processing the datasetSUN397
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc73.08
processing the datasetAircraft
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc35.43
processing the dataseteurosat
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc75.72
{"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": 100, "eps": 1e-08, "ft": true, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_searched_vit_0", "lr": 0.0001, "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 0.0001 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
71.124 91.352 62.175 91.742 72.678 79.329 95.010 84.409 71.421 33.363 70.037 822.639
73.008 92.123 63.771 90.924 74.058 81.787 94.848 81.627 72.655 35.074 70.741 830.615
46.406 85.668 49.764 58.436 50.553 64.155 88.276 62.347 52.327 26.613 68.037 652.581
73.278 92.245 65.071 92.832 74.705 81.919 95.700 84.997 73.078 35.434 75.716 844.974
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 3.000 3.000 1.000 1.000 3.000 0.300 0.300 0.300 1.000 1.000 14.900
0.300 0.001 3.000 0.001 0.001 0.001 0.100 0.010 0.300 0.010 1.000 4.724
processing the datasetI
lr: 1e-05, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc74.02
processing the datasetFlower102
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc96.22
processing the datasetDTD
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc68.38
processing the datasetPets
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc92.83
processing the datasetCars
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc78.97
processing the datasetUCF101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc84.77
processing the datasetCaltech101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc96.43
processing the datasetFood101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc85.37
processing the datasetSUN397
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc74.71
processing the datasetAircraft
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc39.09
processing the dataseteurosat
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc78.99
{"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": 100, "eps": 1e-08, "ft": true, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_searched_vit_0", "lr": 0.0001, "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 0.0001 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
71.572 95.696 67.317 91.796 76.570 82.078 95.456 84.812 73.149 36.574 71.753 846.773
73.654 95.899 66.135 91.087 78.398 84.615 95.538 81.861 74.232 38.644 76.111 856.175
57.558 93.666 57.092 67.212 63.624 72.376 92.454 73.498 61.426 34.443 71.765 745.116
74.024 96.224 68.381 92.832 78.970 84.774 96.430 85.366 74.710 39.094 78.988 869.793
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 0.300 0.300 0.300 1.000 1.000 0.300 0.300 0.300 1.000 1.000 6.800
0.100 0.300 0.300 0.001 0.003 0.100 0.030 0.001 0.300 1.000 1.000 3.135
processing the datasetI
lr: 1e-05, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc74.66
processing the datasetFlower102
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc97.36
processing the datasetDTD
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc71.28
processing the datasetPets
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc93.35
processing the datasetCars
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc82.18
processing the datasetUCF101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc85.94
processing the datasetCaltech101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc96.92
processing the datasetFood101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc86.13
processing the datasetSUN397
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc76.44
processing the datasetAircraft
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc44.37
processing the dataseteurosat
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc83.14
{"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": 100, "eps": 1e-08, "ft": true, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_searched_vit_0", "lr": 0.001, "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 0.001 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
72.678 97.036 69.149 92.232 80.152 83.928 95.862 85.881 75.078 40.084 81.481 873.562
74.164 96.914 70.213 91.442 82.054 85.435 96.349 82.967 76.196 43.174 82.296 881.205
64.710 96.711 64.480 76.288 74.207 78.694 94.402 78.927 67.476 41.884 81.519 819.298
74.664 97.361 71.277 93.350 82.179 85.937 96.917 86.129 76.443 44.374 83.136 891.766
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 0.030 0.300 0.300 1.000 1.000 0.300 0.300 0.300 3.000 1.000 8.530
1.000 0.300 0.100 0.100 0.100 1.000 0.100 0.003 0.100 3.000 0.001 5.804
processing the datasetI
lr: 1e-05, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc75.74
processing the datasetFlower102
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc98.21
processing the datasetDTD
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc75.24
processing the datasetPets
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc93.92
processing the datasetCars
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc85.59
processing the datasetUCF101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc87.84
processing the datasetCaltech101
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc97.08
processing the datasetFood101
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc87.05
processing the datasetSUN397
lr: 0.0001, epoch:20, num_important_channel0, lambda_ape: 0.3, best acc78.30
processing the datasetAircraft
lr: 0.0001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc51.19
processing the dataseteurosat
lr: 0.001, epoch:100, num_important_channel0, lambda_ape: 0.3, best acc87.64
{"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": 100, "eps": 1e-08, "ft": true, "gpu": 0, "indice": 0, "lambda_ape": 0.3, "load": null, "log": "camera_ready_dmn_searched_vit_0", "lr": 0.001, "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 0.001 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
73.786 97.726 73.109 93.295 83.062 85.223 96.552 86.736 76.997 46.025 85.926 898.437
75.268 98.132 73.936 92.641 85.450 87.787 96.633 85.063 78.040 48.875 87.148 908.974
69.510 97.929 71.040 83.756 80.612 83.135 95.010 83.017 72.247 49.865 86.407 872.528
75.738 98.214 75.236 93.922 85.586 87.840 97.079 87.050 78.297 51.185 87.642 917.790
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 30.000 0.300 0.300 3.000 1.000 1.000 0.300 1.000 3.000 1.000 41.900
0.100 10.000 0.300 0.001 0.300 0.100 0.030 0.100 0.001 10.000 0.001 20.933