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Algo
Resnet4
runs.summary["train/predictions"]
- 2 of 2
1-3 of 32
image
label
prediction
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label != prediction
Run set
3
State
Notes
User
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Created
Runtime
Sweep
batch_size
description
early_terminate.eta
early_terminate.min_iter
early_terminate.strict
early_terminate.type
epochs
job
learning_rate
method
metric.goal
metric.name
parameters.batch_size.distribution
parameters.batch_size.max
parameters.batch_size.min
parameters.epochs.distribution
parameters.epochs.max
parameters.epochs.min
parameters.learning_rate.distribution
parameters.learning_rate.max
parameters.learning_rate.min
program
run_cap
scheduler.job
scheduler.num_workers
steps_per_epoch
epoch/epoch
epoch/learning_rate
epoch/loss
epoch/sparse_categorical_accuracy
epoch/val_loss
epoch/val_sparse_categorical_accuracy
train/loss
Finished
jzhao
16d 57m 28s
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0.18459
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3.49404
Finished
jzhao
16d 53m 37s
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12
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0.18459
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38.72761
Finished
jzhao
15d 3h 33m 10s
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0.18459
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3.15462
1-3
of 3
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