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fashion mnist logs
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FelixBenning committed May 20, 2024
1 parent cf1d3d7 commit 725747e
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Showing 59 changed files with 370,598 additions and 346 deletions.
1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -168,6 +168,7 @@ cython_debug/
logs/*
!logs/MNIST_CNN7_b=1024
!logs/MNIST_CNN7_b=128
!logs/FashionMNIST_CNN5_b=128
!logs/MNIST_CNN3_b=128
data/*
slurm-*
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9 changes: 5 additions & 4 deletions benchmarking/classification/__main__.py
Original file line number Diff line number Diff line change
Expand Up @@ -140,22 +140,22 @@ def main(problem_name, opt):
hyperparameters={
"covariance_model": sq_exp_cov_model,
"b_size_inv": 1/problem["batch_size"],
"conservatism": 0.1,
"conservatism": 0.05,
},
)
train(
problem,
opt=RFD,
hyperparameters={
"covariance_model": sq_exp_cov_model,
"b_size_inv": 1/problem["batch_size"],
},
)
train(
problem,
opt=RFD,
hyperparameters={
"covariance_model": sq_exp_cov_model,
"b_size_inv": 1/problem["batch_size"],
},
)

Expand All @@ -182,9 +182,10 @@ def main(problem_name, opt):
for seed in range(20):
problem["seed"] = seed
for lr in [
1e-1,
1e-2,
# 1e-3,
# 1e-4
1e-3,
1e-4
]:
train(
problem,
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@@ -0,0 +1,5 @@
betas: !!python/tuple
- 0.9
- 0.999
loss: !!python/name:torch.nn.functional.nll_loss ''
lr: 0.1

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@@ -0,0 +1,105 @@
covariance_model: !!python/object/new:pyrfd.covariance.SquaredExponential
state: !!python/tuple
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covariance_model: !!python/object/new:pyrfd.covariance.SquaredExponential
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dims: 1128180
g_var_reg: !!python/object:pyrfd.regression.ScalarRegression
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p7LvK1Nz80A=
copy_X: true
fit_intercept: true
intercept_: !!python/object/apply:numpy.core.multiarray.scalar
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- !!binary |
Yr76uD5ghUA=
n_features_in_: 1
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