Brookeryan's group workspace
Group: experiment test_preprocess_models
Name
55 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
activation
batch_size
channels
color_channel
color_channels
epochs
height
image_dms
image_height
image_width
img_height
img_width
loss
metrics
num_optotypes
optimizer
project
validation_split
value
weights
width
yaml
Test Accuracy
Test Loss
accuracy
best_epoch
best_val_loss
epoch
global_step
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/train/epoch_accuracy
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/train/epoch_loss
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/train/global_step
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/validation/epoch_accuracy
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/validation/epoch_loss
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/validation/evaluation_accuracy_vs_iterations
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/validation/evaluation_loss_vs_iterations
home/brooker/VisualAcuity/src/wandb/run-20210611_182609-1sob8zkb/files/validation/global_step
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/train/epoch_accuracy
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/train/epoch_loss
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/train/global_step
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/validation/epoch_accuracy
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/validation/epoch_loss
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/validation/evaluation_accuracy_vs_iterations
home/brooker/VisualAcuity/src/wandb/run-20210611_182839-dtxmrm01/files/validation/evaluation_loss_vs_iterations
Failed
-
brookeryan
2m 33s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
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-
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-
341
-
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Finished
-
brookeryan
19s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
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Crashed
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brookeryan
6m 13s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
0.19732
2
3.05334
2
682
-
-
-
-
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Finished
-
brookeryan
20s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
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-
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Failed
-
brookeryan
2m 25s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
341
-
-
-
-
-
-
-
-
-
-
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-
-
-
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Finished
-
brookeryan
19s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
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Failed
-
brookeryan
2m 32s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
341
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
19s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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Failed
-
brookeryan
9s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
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-
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Finished
-
brookeryan
16m 11s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.17189
4.54528
0.72717
4
0.86836
4
1705
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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Finished
-
brookeryan
11m 25s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.18147
4.48652
0.82482
4
0.65013
4
1705
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
17m 56s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.034596
4.19374
0.193
4
3.05288
4
1705
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
12m 53s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.060309
3.78358
0.26447
4
2.84162
4
1705
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
11m 26s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.068568
3.75394
0.32234
4
2.68953
4
1705
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
18s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Crashed
-
brookeryan
2m 35s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
0.07303
0
3.59384
0
2
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
19s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Crashed
-
brookeryan
2m 35s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
0.073121
0
3.58707
0
2
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
-
brookeryan
20s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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Finished
-
brookeryan
3s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
-
-
-
-
-
-
-
-
-
-
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1-20
of 55