fmnist_bench Table – Weights & Biases

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Capecape's workspace

Runs

138

val_acc

0.9043

5

0.05

-

-

-

-

jeremy_resnet

0.9048

5

0.05

-

-

-

-

jeremy_resnet

0.9118

5

0.05

-

-

-

-

jeremy_resnet

-

5

0.01

-

-

-

-

jeremy_resnet

-

5

0.01

-

-

-

1676820

jeremy_resnet

0.9147

5

0.05

-

-

-

1676820

jeremy_resnet

0.9331

5

0.05

6

512

2

1676820

convmixer

0.9329

5

0.05

6

512

2

1676820

convmixer

0.8569

5

0.05

-

-

4

1592618

convnext_custom

-

5

0.05

-

-

4

1592618

convnext_custom

0.8624

5

0.05

-

-

4

1592618

convnext_custom

0.5748

5

0.05

-

-

4

1592618

convnext_custom

0.8936

5

0.05

-

-

2

1596426

convnext_custom

0.0723

5

0.05

-

-

2

1596426

convnext_custom

0.8898

5

0.05

-

-

2

1596426

convnext_custom

0.8865

5

0.05

-

-

2

893066

convnext_custom

0.8841

5

0.05

-

-

2

2431490

convnext_custom

0.8935

5

0.01

-

-

4

3311090

convnext_custom

0.894

5

0.01

-

-

4

2145570

convnext_custom

0.8938

5

0.01

-

-

2

2145570

convnext_custom

epoch

learning_rate

loss/train/total

metrics/eval/Accuracy

metrics/eval/CrossEntropy

metrics/train/Accuracy

train_acc

train_loss

trainer/batch_idx

trainer/global_step

trainer/grad_accum

val_loss

model_size

Finished

-

capecape

3y ago

48s

-

160

cuda

-

-

-

0

-

-

-

-

-

42

-

-

true

-

-

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

[16,32,64,128,256,256]

torch.nn.modules.batchnorm.BatchNorm2d

-

28

4

2.4332e-7

-

-

-

-

0.90388

0.20969

-

-

-

0.2576

2409604

Finished

-

capecape

3y ago

57s

-

256

cuda

-

-

-

0

-

-

-

-

-

42

-

-

true

-

-

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

[16,32,64,128,256,512]

torch.nn.modules.batchnorm.BatchNorm2d

-

28

4

3.1032e-7

-

-

-

-

0.90285

0.31633

-

-

-

0.26105

4903556

Finished

-

capecape

3y ago

55s

-

256

cuda

-

-

-

0

-

-

-

-

-

42

-

-

true

-

-

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

[16,32,64,128,256,512]

torch.nn.modules.batchnorm.BatchNorm2d

-

28

4

3.1032e-7

-

-

-

-

0.91173

0.25792

-

-

-

0.23762

4903556

Finished

-

capecape

3y ago

3m 32s

-

256

cuda

-

-

-

0

-

-

-

-

-

42

-

-

true

-

-

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

[32,128,256,512]

torch.nn.modules.batchnorm.BatchNorm2d

-

28

-

-

-

-

-

-

-

-

-

-

-

-

4810292

Crashed

-

capecape

3y ago

1m 11s

-

256

cuda

-

-

-

0

-

-

-

-

-

42

-

-

true

-

false

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

[32,128,256,512]

torch.nn.modules.batchnorm.BatchNorm2d

-

28

-

-

-

-

-

-

-

-

-

-

-

-

-

Finished

-

capecape

3y ago

55s

-

256

cuda

-

-

-

0

-

-

-

-

-

42

-

-

true

-

false

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

[16,32,64,128,256,512]

torch.nn.modules.batchnorm.BatchNorm2d

-

28

4

3.1032e-7

-

-

-

-

0.91403

0.33083

-

-

-

0.23307

-

Finished

-

capecape

3y ago

2m 27s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

5

false

-

-

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

-

28

4

3.1032e-7

-

-

-

-

0.943

0.12743

-

-

-

0.16228

-

Finished

-

capecape

3y ago

2m 27s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

5

true

-

-

torch.nn.modules.activation.Mish

-

-

-

-

-

-

-

-

28

4

3.1032e-7

-

-

-

-

0.94198

0.22231

-

-

-

0.1645

-

Finished

-

capecape

3y ago

44s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

32

4

3.1032e-7

-

-

-

-

0.84893

0.34268

-

-

-

0.39229

-

Finished

-

capecape

3y ago

51s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

32

-

-

-

-

-

-

-

-

-

-

-

-

-

Finished

-

capecape

3y ago

52s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

64

4

3.1032e-7

-

-

-

-

0.76068

0.73497

-

-

-

0.61136

-

Finished

-

capecape

3y ago

1m 25s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

48

2

0.0070425

-

-

-

-

0.7746

0.43395

-

-

-

0.65726

-

Finished

-

capecape

3y ago

52s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

64

4

3.1032e-7

-

-

-

-

0.91077

0.22128

-

-

-

0.24048

-

Finished

-

capecape

3y ago

53s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

-

3

0.00050858

-

-

-

-

0.89892

0.29367

-

-

-

1.74342

-

Finished

-

capecape

3y ago

43s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,2,2,2]

[32,64,128,256]

0.1

5

-

-

patch

-

4

3.1032e-7

-

-

-

-

0.9023

0.31179

-

-

-

0.26663

-

Finished

-

capecape

3y ago

37s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

true

-

-

-

true

[1,1,1,1]

[32,64,128,256]

0.1

5

-

-

patch

-

4

3.1032e-7

-

-

-

-

0.90317

0.2975

-

-

-

0.26354

-

Finished

-

capecape

3y ago

40s

-

256

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

false

-

-

-

true

[1,1,2,2]

[40,80,160,320]

0.2

5

-

-

overlap_tiered

-

4

3.1032e-7

-

-

-

-

0.89695

0.35462

-

-

-

0.28045

-

Finished

-

capecape

3y ago

2m 30s

-

64

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

false

-

-

-

true

[2,2,6,2]

[40,80,160,320]

0.2

3

-

-

overlap_tiered

-

4

4.1385e-8

-

-

-

-

0.9135

0.23005

-

-

-

0.24001

-

Finished

-

capecape

3y ago

1m 14s

-

128

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

false

-

-

-

true

[2,2,4,2]

[40,80,160,240]

0.2

5

-

-

overlap_tiered

-

4

4.5539e-8

-

-

-

-

0.91482

0.21092

-

-

-

0.23614

-

Finished

-

capecape

3y ago

1m 15s

-

128

cuda

-

-

-

0

-

-

-

1

10

42

-

-

true

-

false

-

-

-

true

[2,2,4,2]

[40,80,160,240]

0.2

5

-

-

overlap_tiered

-

4

4.5539e-8

-

-

-

-

0.9143

0.20574

-

-

-

0.23419

-

1-20

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