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- TinyImageNet_ASAM_ViT_rho1_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001/final.model +3 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001/params.json +97 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001/terminal.log +24 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/data.hdf5 +0 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/final.model +3 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/params.json +97 -0
- TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/terminal.log +24 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/final.model +3 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/params.json +97 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/terminal.log +24 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/data.hdf5 +0 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/final.model +3 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/params.json +97 -0
- TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/terminal.log +24 -0
- TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/final.model +3 -0
- TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/params.json +97 -0
- TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/terminal.log +24 -0
- TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/final.model +3 -0
- TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/params.json +97 -0
- TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/terminal.log +24 -0
- TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/final.model +3 -0
- TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/params.json +97 -0
- TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/terminal.log +24 -0
- TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/final.model +3 -0
- TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/params.json +97 -0
- TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/terminal.log +24 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001/final.model +3 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001/params.json +97 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001/terminal.log +24 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/data.hdf5 +0 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/final.model +3 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/params.json +97 -0
- TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/terminal.log +24 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/final.model +3 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/params.json +97 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/terminal.log +24 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/data.hdf5 +0 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/final.model +3 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/params.json +97 -0
- TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/terminal.log +24 -0
- TinyImageNet_SAM_ViT_rho0.01_lr0.0001/data.hdf5 +0 -0
- TinyImageNet_SAM_ViT_rho0.01_lr0.0001/final.model +3 -0
TinyImageNet_ASAM_ViT_rho1_lr0.0001/data.hdf5
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TinyImageNet_ASAM_ViT_rho1_lr0.0001/final.model
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size 1052309706
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TinyImageNet_ASAM_ViT_rho1_lr0.0001/params.json
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TinyImageNet_ASAM_ViT_rho1_lr0.0001/terminal.log
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βββββββββΈSβΊβΈTβΊβΈAβΊβΈTβΊβΈSβΊββββββββ³βββββββββββββββββTβΊβΈRβΊβΈAβΊβΈIβΊβΈN βββββββββββββββββ³ββββββββββTβΊβΈEβΊβΈSβΊβΈT βββββββββββ
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β β β β
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β epoch β time β learningRate β loss β accuracy β loss β accuracy β
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β βββββββββββββββΌβββββββββββββββββββββββββββββββΌββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββ¨
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β 1 β 15:08 min β 4.988e-05 β 4.3452 β 5.17% β 2.3462 β 39.43% β
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β 2 β 05:55 min β 9.857e-05 β 1.1988 β 69.40% β 0.6596 β 83.70% β
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β 3 β 05:25 min β 9.615e-05 β 0.7342 β 81.34% β 0.5396 β 86.11% β
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| 8 |
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β 4 β 05:25 min β 9.259e-05 β 0.6144 β 83.96% β 0.4840 β 87.68% β
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| 9 |
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β 5 β 05:25 min β 8.798e-05 β 0.5418 β 85.76% β 0.4530 β 88.05% β
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β 6 β 05:25 min β 8.244e-05 β 0.4930 β 86.97% β 0.4349 β 88.37% β
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β 7 β 05:25 min β 7.610e-05 β 0.4560 β 87.80% β 0.4204 β 88.77% β
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β 8 β 05:25 min β 6.911e-05 β 0.4271 β 88.56% β 0.4071 β 89.13% β
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β 9 β 05:25 min β 6.166e-05 β 0.4063 β 89.15% β 0.3985 β 89.26% β
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| 14 |
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β 10 β 05:24 min β 5.392e-05 β 0.3829 β 89.78% β 0.3921 β 89.48% β
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| 15 |
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β 11 β 05:25 min β 4.608e-05 β 0.3683 β 90.19% β 0.3877 β 89.35% β
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| 16 |
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β 12 β 05:25 min β 3.834e-05 β 0.3582 β 90.48% β 0.3833 β 89.62% β
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| 17 |
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β 13 β 05:26 min β 3.088e-05 β 0.3458 β 90.79% β 0.3806 β 89.71% β
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| 18 |
+
β 14 β 05:25 min β 2.390e-05 β 0.3356 β 91.23% β 0.3787 β 89.79% β
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| 19 |
+
β 15 β 05:25 min β 1.756e-05 β 0.3289 β 91.34% β 0.3766 β 89.75% β
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| 20 |
+
β 16 β 05:25 min β 1.202e-05 β 0.3231 β 91.57% β 0.3757 β 89.79% β
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| 21 |
+
β 17 β 05:25 min β 7.410e-06 β 0.3209 β 91.66% β 0.3747 β 89.85% β
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| 22 |
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β 18 β 05:25 min β 3.853e-06 β 0.3172 β 91.67% β 0.3743 β 89.86% β
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| 23 |
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β 19 β 05:25 min β 1.431e-06 β 0.3147 β 91.75% β 0.3743 β 89.84% β
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| 24 |
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β 20 β 05:25 min β 2.052e-07 β 0.3165 β 91.70% β 0.3743 β 89.86% β
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TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/data.hdf5
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TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/final.model
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version https://git-lfs.github.com/spec/v1
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size 1035057354
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TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/params.json
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{
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"lookSAMk": 5,
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"optimizer": "ASAM",
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"weightDecay": 0.001,
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"momentum": 0.9,
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"rho": 0.01,
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TinyImageNet_ASAM_ViT_rho1_lr0.0001_run01/terminal.log
ADDED
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|
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|
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|
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|
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|
| 14 |
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|
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| 16 |
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|
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|
| 18 |
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|
| 19 |
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|
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|
| 21 |
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|
| 22 |
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|
| 23 |
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β 19 β 49:35 min β 1.431e-06 β 0.2105 β 94.97% β 0.3350 β 91.28% β
|
| 24 |
+
β 20 β 51:12 min β 2.052e-07 β 0.2098 β 95.02% β 0.3350 β 91.27% β
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TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/final.model
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TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/params.json
ADDED
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| 1 |
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{
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| 2 |
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|
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|
| 15 |
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| 17 |
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| 19 |
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|
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|
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|
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|
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|
| 51 |
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| 62 |
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| 64 |
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| 65 |
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|
| 66 |
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|
| 68 |
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| 69 |
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|
| 70 |
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|
| 73 |
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|
| 75 |
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}
|
TinyImageNet_ESAM_ViT_rho0.075_lr0.0001/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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|
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β 1 β 07:13 min β 4.988e-05 β 4.6157 β 0.95% β 4.3750 β 1.83% β
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|
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|
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|
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|
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|
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|
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|
| 22 |
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|
| 23 |
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β 19 β 05:29 min β 1.431e-06 β 0.5082 β 87.99% β 0.4680 β 88.58% β
|
| 24 |
+
β 20 β 05:29 min β 2.052e-07 β 0.5101 β 87.88% β 0.4680 β 88.58% β
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TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/data.hdf5
ADDED
|
Binary file (56 kB). View file
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|
TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/final.model
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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size 1035057418
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TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/params.json
ADDED
|
@@ -0,0 +1,97 @@
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{
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| 2 |
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| 66 |
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| 83 |
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| 96 |
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"contin": false
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| 97 |
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}
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TinyImageNet_ESAM_ViT_rho0.075_lr0.0001_run01/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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βββββββββΈSβΊβΈTβΊβΈAβΊβΈTβΊβΈSβΊββββββββ³βββββββββββββββββTβΊβΈRβΊβΈAβΊβΈIβΊβΈN βββββββββββββββββ³ββββββββββTβΊβΈEβΊβΈSβΊβΈT βββββββββββ
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β 1 β 53:44 min β 4.988e-05 β 4.5522 β 1.14% β 4.3090 β 2.98% β
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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| 15 |
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β 11 β 51:57 min β 4.608e-05 β 0.2480 β 94.29% β 0.3309 β 91.38% β
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| 16 |
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β 12 β 52:01 min β 3.834e-05 β 0.2357 β 94.64% β 0.3245 β 91.65% β
|
| 17 |
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β 13 β 52:02 min β 3.088e-05 β 0.2265 β 94.97% β 0.3227 β 91.58% β
|
| 18 |
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β 14 β 50:19 min β 2.390e-05 β 0.2179 β 95.21% β 0.3219 β 91.51% β
|
| 19 |
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β 15 β 51:56 min β 1.756e-05 β 0.2133 β 95.31% β 0.3197 β 91.65% β
|
| 20 |
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β 16 β 51:56 min β 1.202e-05 β 0.2093 β 95.41% β 0.3181 β 91.61% β
|
| 21 |
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β 17 β 51:51 min β 7.410e-06 β 0.2053 β 95.61% β 0.3178 β 91.72% β
|
| 22 |
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β 18 β 51:56 min β 3.853e-06 β 0.2033 β 95.64% β 0.3174 β 91.70% β
|
| 23 |
+
β 19 β 51:56 min β 1.431e-06 β 0.2027 β 95.65% β 0.3172 β 91.68% β
|
| 24 |
+
β 20 β 50:20 min β 2.052e-07 β 0.2027 β 95.69% β 0.3172 β 91.68% β
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TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/data.hdf5
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TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/final.model
ADDED
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TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/params.json
ADDED
|
@@ -0,0 +1,97 @@
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| 1 |
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{
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| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"lookSAMLayerwise": false,
|
| 17 |
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"optimizer": "FisherSAM",
|
| 18 |
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|
| 19 |
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"momentum": 0.9,
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| 20 |
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"rho": 0.01,
|
| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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"adamwMsamRho": 0.075,
|
| 33 |
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"adamwFriendlysamRho": 0.075,
|
| 34 |
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"sigma": 1.0,
|
| 35 |
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"lmbda": 0.95,
|
| 36 |
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"fisherEta": 0.1,
|
| 37 |
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"gsamAlpha": 0.1,
|
| 38 |
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"gsamAdaptive": false,
|
| 39 |
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"bayesMSharpness": 8,
|
| 40 |
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"bayesDelta": 10.0,
|
| 41 |
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|
| 42 |
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"bayesBeta2": 0.999,
|
| 43 |
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"bayesSInit": 1.0,
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| 44 |
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"bayesDamping": 1e-08,
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| 45 |
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| 46 |
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| 47 |
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"grad_clip_norm": 0.0,
|
| 48 |
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"dataThreads": 4,
|
| 49 |
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"dataDir": "/home/hungpv/.datasets",
|
| 50 |
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"batchSize": 64,
|
| 51 |
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"dataset": "TinyImageNet",
|
| 52 |
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"imageSize": 64,
|
| 53 |
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"flip": true,
|
| 54 |
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"crop": true,
|
| 55 |
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|
| 56 |
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"cutoutProp": 0.5,
|
| 57 |
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"randAugment": true,
|
| 58 |
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"randAugment_magnitude": 10,
|
| 59 |
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"mixup": false,
|
| 60 |
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"mixupProp": 0.2,
|
| 61 |
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"normalize": "std",
|
| 62 |
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"truncate": false,
|
| 63 |
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"verbose": false,
|
| 64 |
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"metrics": [
|
| 65 |
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"learningRate",
|
| 66 |
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"loss",
|
| 67 |
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"accuracy"
|
| 68 |
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],
|
| 69 |
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"logEach": 1,
|
| 70 |
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|
| 71 |
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"deterministic": false,
|
| 72 |
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|
| 73 |
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"lrScheduler": [
|
| 74 |
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"startRamp",
|
| 75 |
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"cos"
|
| 76 |
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],
|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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"rhoScheduler": [
|
| 85 |
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"const"
|
| 86 |
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],
|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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"keepLastCheckpoint": false,
|
| 91 |
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|
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|
| 93 |
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"logDir": "/mnt/hungpv/projects/SAM_Variant/logs",
|
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"logSubDir": "TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001",
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| 95 |
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"epochs": 20,
|
| 96 |
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"contin": false
|
| 97 |
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}
|
TinyImageNet_FisherSAM_ViT_rho0.01_lr0.0001/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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| 1 |
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|
| 2 |
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β β β β
|
| 3 |
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|
| 4 |
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|
| 5 |
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β 1 β 14:09 min β 4.988e-05 β 4.4779 β 2.81% β 3.1837 β 20.95% β
|
| 6 |
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β 2 β 12:56 min β 9.857e-05 β 1.3964 β 64.50% β 0.6817 β 83.22% β
|
| 7 |
+
β 3 β 12:54 min β 9.615e-05 β 0.7532 β 80.85% β 0.5447 β 86.20% β
|
| 8 |
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β 4 β 12:49 min β 9.259e-05 β 0.6257 β 83.73% β 0.4867 β 87.41% β
|
| 9 |
+
β 5 β 12:56 min β 8.798e-05 β 0.5528 β 85.56% β 0.4560 β 88.12% β
|
| 10 |
+
β 6 β 12:56 min β 8.244e-05 β 0.5053 β 86.71% β 0.4357 β 88.30% β
|
| 11 |
+
β 7 β 12:55 min β 7.610e-05 β 0.4692 β 87.55% β 0.4223 β 88.93% β
|
| 12 |
+
β 8 β 12:50 min β 6.911e-05 β 0.4416 β 88.33% β 0.4103 β 88.99% β
|
| 13 |
+
β 9 β 12:54 min β 6.166e-05 β 0.4218 β 88.86% β 0.4009 β 89.21% β
|
| 14 |
+
β 10 β 12:55 min β 5.392e-05 β 0.3999 β 89.48% β 0.3937 β 89.42% β
|
| 15 |
+
β 11 β 12:54 min β 4.608e-05 β 0.3863 β 89.85% β 0.3891 β 89.46% β
|
| 16 |
+
β 12 β 12:53 min β 3.834e-05 β 0.3769 β 90.14% β 0.3843 β 89.66% β
|
| 17 |
+
β 13 β 12:56 min β 3.088e-05 β 0.3656 β 90.46% β 0.3819 β 89.68% β
|
| 18 |
+
β 14 β 12:56 min β 2.390e-05 β 0.3563 β 90.80% β 0.3795 β 89.76% β
|
| 19 |
+
β 15 β 12:49 min β 1.756e-05 β 0.3502 β 90.87% β 0.3772 β 89.72% β
|
| 20 |
+
β 16 β 12:55 min β 1.202e-05 β 0.3446 β 91.11% β 0.3765 β 89.76% β
|
| 21 |
+
β 17 β 12:54 min β 7.410e-06 β 0.3426 β 91.18% β 0.3755 β 89.84% β
|
| 22 |
+
β 18 β 12:54 min β 3.853e-06 β 0.3392 β 91.26% β 0.3753 β 89.88% β
|
| 23 |
+
β 19 β 12:49 min β 1.431e-06 β 0.3372 β 91.28% β 0.3752 β 89.81% β
|
| 24 |
+
β 20 β 12:56 min β 2.052e-07 β 0.3387 β 91.26% β 0.3752 β 89.82% β
|
TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/data.hdf5
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Binary file (56 kB). View file
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TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/final.model
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1035057418
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TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/params.json
ADDED
|
@@ -0,0 +1,97 @@
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| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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| 20 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 47 |
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| 48 |
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| 49 |
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"dataDir": "/home/hungpv/.datasets",
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| 50 |
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"batchSize": 64,
|
| 51 |
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"dataset": "TinyImageNet",
|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
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| 57 |
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|
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|
| 59 |
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| 60 |
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| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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"metrics": [
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| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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],
|
| 69 |
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|
| 70 |
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| 71 |
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| 72 |
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|
| 73 |
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| 74 |
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|
| 75 |
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| 76 |
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| 77 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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],
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| 93 |
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| 96 |
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| 97 |
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}
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TinyImageNet_FisherSAM_ViT_rho0.1_lr0.0001/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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| 1 |
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| 2 |
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β β β β
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| 3 |
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β epoch β time β learningRate β loss β accuracy β loss β accuracy β
|
| 4 |
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β βββββββββββββββΌβββββββββββββββββββββββββββββββΌββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββ¨
|
| 5 |
+
β 1 β 53:23 min β 4.988e-05 β 4.5657 β 1.25% β 4.2563 β 3.66% β
|
| 6 |
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β 2 β 52:14 min β 9.857e-05 β 2.6575 β 34.31% β 0.8503 β 79.59% β
|
| 7 |
+
β 3 β 52:08 min β 9.615e-05 β 0.7120 β 82.78% β 0.5081 β 88.13% β
|
| 8 |
+
β 4 β 52:13 min β 9.259e-05 β 0.5254 β 87.04% β 0.4358 β 89.64% β
|
| 9 |
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|
| 10 |
+
β 6 β 50:22 min β 8.244e-05 β 0.3959 β 90.06% β 0.3753 β 90.60% β
|
| 11 |
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β 7 β 52:11 min β 7.610e-05 β 0.3591 β 91.03% β 0.3616 β 90.93% β
|
| 12 |
+
β 8 β 52:14 min β 6.911e-05 β 0.3339 β 91.67% β 0.3500 β 91.12% β
|
| 13 |
+
β 9 β 52:10 min β 6.166e-05 β 0.3135 β 92.16% β 0.3431 β 91.25% β
|
| 14 |
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β 10 β 52:15 min β 5.392e-05 β 0.2944 β 92.78% β 0.3361 β 91.41% β
|
| 15 |
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β 11 β 52:15 min β 4.608e-05 β 0.2808 β 93.16% β 0.3339 β 91.30% β
|
| 16 |
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|
| 17 |
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|
| 18 |
+
β 14 β 52:14 min β 2.390e-05 β 0.2521 β 94.01% β 0.3243 β 91.61% β
|
| 19 |
+
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|
| 20 |
+
β 16 β 52:15 min β 1.202e-05 β 0.2435 β 94.19% β 0.3207 β 91.68% β
|
| 21 |
+
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|
| 22 |
+
β 18 β 50:39 min β 3.853e-06 β 0.2383 β 94.34% β 0.3198 β 91.72% β
|
| 23 |
+
β 19 β 52:09 min β 1.431e-06 β 0.2379 β 94.33% β 0.3197 β 91.75% β
|
| 24 |
+
β 20 β 52:14 min β 2.052e-07 β 0.2380 β 94.45% β 0.3197 β 91.73% β
|
TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/data.hdf5
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Binary file (56 kB). View file
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TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/final.model
ADDED
|
@@ -0,0 +1,3 @@
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size 1403071210
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TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/params.json
ADDED
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@@ -0,0 +1,97 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"sigma": 1.0,
|
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|
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|
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TinyImageNet_FriendlySAM_ViT_rho0.01_lr0.0001/terminal.log
ADDED
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|
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|
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|
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| 22 |
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|
| 23 |
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| 24 |
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TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/final.model
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TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/params.json
ADDED
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| 17 |
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|
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|
| 19 |
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|
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|
| 37 |
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|
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|
| 40 |
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| 66 |
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TinyImageNet_GSAM_ViT_rho0.01_lr0.0001/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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|
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|
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|
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|
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|
| 14 |
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|
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|
| 16 |
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|
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|
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|
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|
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|
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|
| 22 |
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|
| 23 |
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|
| 24 |
+
β 20 β 13:14 min β 2.052e-07 β 0.3436 β 91.15% β 0.3763 β 89.81% β
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TinyImageNet_MSAM_ViT_rho0.075_lr0.0001/final.model
ADDED
|
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| 1 |
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ADDED
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| 1 |
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| 2 |
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|
| 3 |
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| 4 |
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|
| 5 |
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| 7 |
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| 8 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 29 |
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| 30 |
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| 31 |
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|
| 35 |
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| 36 |
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| 37 |
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| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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| 55 |
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| 57 |
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| 59 |
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| 60 |
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|
| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 73 |
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| 74 |
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| 75 |
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|
| 76 |
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| 77 |
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| 78 |
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| 80 |
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| 81 |
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| 83 |
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| 96 |
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| 97 |
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TinyImageNet_MSAM_ViT_rho0.075_lr0.0001/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
β 20 β 03:05 min β 2.052e-07 β 0.3200 β 91.48% β 0.3789 β 89.70% β
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TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/data.hdf5
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TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/final.model
ADDED
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TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/params.json
ADDED
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|
| 1 |
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| 2 |
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| 5 |
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|
| 7 |
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| 8 |
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|
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|
| 17 |
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| 19 |
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|
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|
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|
| 35 |
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|
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|
| 37 |
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|
| 38 |
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|
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|
| 40 |
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|
| 41 |
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|
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|
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|
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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"dataset": "TinyImageNet",
|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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"metrics": [
|
| 65 |
+
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|
| 66 |
+
"loss",
|
| 67 |
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|
| 68 |
+
],
|
| 69 |
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|
| 70 |
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|
| 71 |
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"deterministic": false,
|
| 72 |
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|
| 73 |
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"lrScheduler": [
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
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|
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|
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|
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
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|
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|
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|
| 96 |
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|
| 97 |
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}
|
TinyImageNet_MSAM_ViT_rho0.075_lr0.0001_run01/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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|
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|
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|
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|
| 1 |
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βββββββββΈSβΊβΈTβΊβΈAβΊβΈTβΊβΈSβΊββββββββ³βββββββββββββββββTβΊβΈRβΊβΈAβΊβΈIβΊβΈN βββββββββββββββββ³ββββββββββTβΊβΈEβΊβΈSβΊβΈT βββββββββββ
|
| 2 |
+
β β β β
|
| 3 |
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|
| 4 |
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|
| 5 |
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β 1 β 37:28 min β 4.988e-05 β 4.4369 β 2.38% β 3.7020 β 9.98% β
|
| 6 |
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|
| 7 |
+
β 3 β 36:02 min β 9.615e-05 β 0.8574 β 78.75% β 0.5902 β 86.32% β
|
| 8 |
+
β 4 β 36:15 min β 9.259e-05 β 0.5768 β 85.98% β 0.4834 β 88.49% β
|
| 9 |
+
β 5 β 34:54 min β 8.798e-05 β 0.4718 β 88.47% β 0.4307 β 89.42% β
|
| 10 |
+
β 6 β 34:31 min β 8.244e-05 β 0.4079 β 89.73% β 0.3970 β 90.19% β
|
| 11 |
+
β 7 β 36:07 min β 7.610e-05 β 0.3633 β 90.81% β 0.3857 β 90.23% β
|
| 12 |
+
β 8 β 36:17 min β 6.911e-05 β 0.3324 β 91.58% β 0.3707 β 90.49% β
|
| 13 |
+
β 9 β 35:59 min β 6.166e-05 β 0.3069 β 92.24% β 0.3639 β 90.64% β
|
| 14 |
+
β 10 β 36:18 min β 5.392e-05 β 0.2838 β 92.97% β 0.3571 β 90.76% β
|
| 15 |
+
β 11 β 36:06 min β 4.608e-05 β 0.2670 β 93.37% β 0.3555 β 90.62% β
|
| 16 |
+
β 12 β 25:48 min β 3.834e-05 β 0.2526 β 93.77% β 0.3480 β 91.06% β
|
| 17 |
+
β 13 β 12:42 min β 3.088e-05 β 0.2410 β 94.12% β 0.3470 β 90.95% β
|
| 18 |
+
β 14 β 12:42 min β 2.390e-05 β 0.2317 β 94.41% β 0.3470 β 91.00% β
|
| 19 |
+
β 15 β 12:42 min β 1.756e-05 β 0.2263 β 94.54% β 0.3439 β 90.97% β
|
| 20 |
+
β 16 β 12:42 min β 1.202e-05 β 0.2209 β 94.70% β 0.3427 β 91.01% β
|
| 21 |
+
β 17 β 12:42 min β 7.410e-06 β 0.2165 β 94.85% β 0.3419 β 91.02% β
|
| 22 |
+
β 18 β 12:43 min β 3.853e-06 β 0.2139 β 94.89% β 0.3418 β 91.00% β
|
| 23 |
+
β 19 β 12:42 min β 1.431e-06 β 0.2137 β 94.91% β 0.3417 β 91.04% β
|
| 24 |
+
β 20 β 12:42 min β 2.052e-07 β 0.2129 β 94.95% β 0.3416 β 91.10% β
|
TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/data.hdf5
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TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/final.model
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size 1052309706
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TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/params.json
ADDED
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{
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| 2 |
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| 17 |
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| 19 |
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| 20 |
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| 34 |
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|
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|
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"dataset": "TinyImageNet",
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| 53 |
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| 54 |
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| 55 |
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| 62 |
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"metrics": [
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| 65 |
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| 66 |
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| 69 |
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| 70 |
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| 76 |
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| 85 |
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| 96 |
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| 97 |
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}
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TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001/terminal.log
ADDED
|
@@ -0,0 +1,24 @@
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|
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|
| 8 |
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β 6 β 05:22 min β 8.244e-05 β 0.4971 β 86.87% β 0.4348 β 88.35% β
|
| 11 |
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|
| 12 |
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|
| 13 |
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β 9 β 05:22 min β 6.166e-05 β 0.4108 β 89.09% β 0.3989 β 89.09% β
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
+
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|
| 21 |
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|
| 22 |
+
β 18 β 05:22 min β 3.853e-06 β 0.3247 β 91.53% β 0.3738 β 89.86% β
|
| 23 |
+
β 19 β 05:22 min β 1.431e-06 β 0.3227 β 91.61% β 0.3737 β 89.86% β
|
| 24 |
+
β 20 β 05:22 min β 2.052e-07 β 0.3242 β 91.57% β 0.3737 β 89.85% β
|
TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/data.hdf5
ADDED
|
Binary file (56 kB). View file
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|
TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/final.model
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1035057354
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TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/params.json
ADDED
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@@ -0,0 +1,97 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 40 |
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|
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|
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|
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|
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|
| 47 |
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"grad_clip_norm": 0.0,
|
| 48 |
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"dataThreads": 4,
|
| 49 |
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"dataDir": "/home/hungpv/.datasets",
|
| 50 |
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"batchSize": 64,
|
| 51 |
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"dataset": "TinyImageNet",
|
| 52 |
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"imageSize": 64,
|
| 53 |
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"flip": true,
|
| 54 |
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"crop": true,
|
| 55 |
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|
| 56 |
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|
| 57 |
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"randAugment": true,
|
| 58 |
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|
| 59 |
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"mixup": false,
|
| 60 |
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"mixupProp": 0.2,
|
| 61 |
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|
| 62 |
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"truncate": false,
|
| 63 |
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|
| 64 |
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"metrics": [
|
| 65 |
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"learningRate",
|
| 66 |
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"loss",
|
| 67 |
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"accuracy"
|
| 68 |
+
],
|
| 69 |
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|
| 70 |
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"rndSeed": false,
|
| 71 |
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"deterministic": false,
|
| 72 |
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"learningRate": 0.0001,
|
| 73 |
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"lrScheduler": [
|
| 74 |
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"startRamp",
|
| 75 |
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"cos"
|
| 76 |
+
],
|
| 77 |
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"LRScheduler_step_steps": 3.0,
|
| 78 |
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"LRScheduler_step_gamma": 0.2,
|
| 79 |
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"LRScheduler_exp_maxDecay": 0.01,
|
| 80 |
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"LRScheduler_cos_periods": 0.5,
|
| 81 |
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"LRScheduler_StartRamp_epochs": 1.0,
|
| 82 |
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"LRScheduler_WRN_T0": 50.0,
|
| 83 |
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"LRScheduler_WRN_Tmult": 1.2,
|
| 84 |
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"rhoScheduler": [
|
| 85 |
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"const"
|
| 86 |
+
],
|
| 87 |
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"rhoScheduler_StartRamp_epochs": 8.0,
|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"logDir": "/mnt/hungpv/projects/SAM_Variant/logs",
|
| 94 |
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"logSubDir": "TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01",
|
| 95 |
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"epochs": 20,
|
| 96 |
+
"contin": false
|
| 97 |
+
}
|
TinyImageNet_MongeSAM_ViT_rho0.075_lr0.0001_run01/terminal.log
ADDED
|
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βββββββββΈSβΊβΈTβΊβΈAβΊβΈTβΊβΈSβΊββββββββ³βββββββββββββββββTβΊβΈRβΊβΈAβΊβΈIβΊβΈN βββββββββββββββββ³ββββββββββTβΊβΈEβΊβΈSβΊβΈT βββββββββββ
|
| 2 |
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β β β β
|
| 3 |
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β epoch β time β learningRate β loss β accuracy β loss β accuracy β
|
| 4 |
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β βββββββββββββββΌβββββββββββββββββββββββββββββββΌββββββββββββββββΌββββββββββββββββββββββββββββββββΌββββββββββββββββ¨
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| 5 |
+
β 1 β 44:55 min β 4.988e-05 β 4.4800 β 2.10% β 3.8151 β 8.30% β
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| 6 |
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β 2 β 50:58 min β 9.857e-05 β 2.2448 β 41.36% β 1.0051 β 75.02% β
|
| 7 |
+
β 3 β 51:47 min β 9.615e-05 β 0.7864 β 80.85% β 0.5522 β 87.27% β
|
| 8 |
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β 4 β 51:52 min β 9.259e-05 β 0.5521 β 86.51% β 0.4635 β 88.78% β
|
| 9 |
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β 5 β 51:52 min β 8.798e-05 β 0.4574 β 88.73% β 0.4195 β 89.57% β
|
| 10 |
+
β 6 β 51:46 min β 8.244e-05 β 0.3973 β 89.93% β 0.3898 β 90.35% β
|
| 11 |
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β 7 β 51:10 min β 7.610e-05 β 0.3552 β 91.00% β 0.3795 β 90.26% β
|
| 12 |
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|
| 13 |
+
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|
| 14 |
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|
| 15 |
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β 11 β 51:52 min β 4.608e-05 β 0.2624 β 93.48% β 0.3486 β 90.88% β
|
| 16 |
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β 12 β 51:52 min β 3.834e-05 β 0.2490 β 93.85% β 0.3423 β 91.12% β
|
| 17 |
+
β 13 β 51:06 min β 3.088e-05 β 0.2373 β 94.22% β 0.3399 β 91.16% β
|
| 18 |
+
β 14 β 50:59 min β 2.390e-05 β 0.2286 β 94.49% β 0.3399 β 91.23% β
|
| 19 |
+
β 15 β 51:52 min β 1.756e-05 β 0.2232 β 94.59% β 0.3370 β 91.31% β
|
| 20 |
+
β 16 β 51:51 min β 1.202e-05 β 0.2180 β 94.80% β 0.3352 β 91.30% β
|
| 21 |
+
β 17 β 51:49 min β 7.410e-06 β 0.2133 β 94.96% β 0.3351 β 91.32% β
|
| 22 |
+
β 18 β 51:52 min β 3.853e-06 β 0.2112 β 95.01% β 0.3349 β 91.27% β
|
| 23 |
+
β 19 β 51:51 min β 1.431e-06 β 0.2112 β 94.95% β 0.3347 β 91.35% β
|
| 24 |
+
β 20 β 50:16 min β 2.052e-07 β 0.2104 β 95.02% β 0.3346 β 91.37% β
|
TinyImageNet_SAM_ViT_rho0.01_lr0.0001/data.hdf5
ADDED
|
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TinyImageNet_SAM_ViT_rho0.01_lr0.0001/final.model
ADDED
|
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