Brookeryan's group workspace
Group: experiment test_new_callback
Name
20 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
Crashed
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brookeryan
2m 34s
-
softmax
32
3
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-
5
400
-
-
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-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
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imagenet
400
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0.077806
0
3.58711
0
2
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Finished
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brookeryan
18s
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softmax
32
3
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5
400
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sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
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imagenet
400
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Crashed
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brookeryan
3m 55s
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softmax
32
3
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5
400
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sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
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imagenet
400
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0.078266
0
3.59447
0
682
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Finished
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brookeryan
18s
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softmax
32
3
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5
400
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sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
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imagenet
400
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Finished
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brookeryan
26s
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softmax
32
3
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5
400
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sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
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imagenet
400
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Crashed
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brookeryan
2m 36s
-
softmax
32
3
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5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
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-
-
0.077714
0
3.58353
0
2
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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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Finished
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brookeryan
11m 45s
-
softmax
32
3
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5
400
-
-
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-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.075892
3.78344
0.31903
4
2.69298
4
1364
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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
5m 13s
-
softmax
32
3
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5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
0.13393
1
3.29632
1
682
-
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Finished
-
brookeryan
20s
-
softmax
32
3
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-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
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Crashed
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brookeryan
1m 33s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
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-
-
2
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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
-
-
-
0.12172
1
3.39915
1
682
-
-
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Finished
-
brookeryan
11m 24s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
0.06997
3.75005
0.32133
4
2.68992
4
1705
-
-
-
-
-
-
-
-
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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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Crashed
-
brookeryan
3m 38s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
0.074683
0
3.5927
0
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
10m 21s
-
softmax
32
3
-
-
5
400
-
-
-
-
-
sparse_categorical_crossentropy
accuracy
59
adam
Visual_Acuity
0.2
-
imagenet
400
-
-
-
0.31536
4
2.68729
4
1364
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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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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