Benchopt
Dataset:
CIFAR[framework=pytorch]
CIFAR[framework=tensorflow]
Objective:
ConvNet classification fitting[model_size=18,model_type=resnet]
Objective metrics
objective_train_loss
objective_train_acc
objective_test_loss
objective_test_acc
objective_value
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objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
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semilog-y
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linear
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Dataset:
CIFAR[framework=pytorch]
CIFAR[framework=tensorflow]
Objective:
ConvNet classification fitting[model_size=18,model_type=resnet]
Objective column
objective_train_loss
objective_train_acc
objective_test_loss
objective_test_acc
objective_value
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
X-axis
Quantiles
Save as view
Result on resnet classif benchmark
CPU : 20
RAM (GB) : 187
CUDA : Build cuda_11.2.r11.2/compiler.29373293_0
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System information
CPU
: 20
RAM (GB)
: 187
CUDA
: Build cuda_11.2.r11.2/compiler.29373293_0
platform
: Linux4.18.0-305.40.2.el8_4.x86_64-x86_64
processor
: Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
numpy
: 1.21.2 blas=mkl_rt lapack=mkl_rt
scipy
: 1.7.1
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