Claire-boetticher's workspace
Runs
13
Name
13 visualized
Runtime
Hostname
Job Type
Notes
GPU Type
GPU Count
Sweep
Tags
batch_size
dropout
epochs
fc_size
img_height
img_width
learning_rate
num_classes
num_log_batches
num_train
num_val
accuracy
best_epoch
best_val_loss
epoch
loss
val_accuracy
val_loss
11s
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table
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1m 48s
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inference
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Tesla T4
1
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inference
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7m 49s
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train
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Tesla T4
1
candidate
32
0.1
10
512
299
299
0.18392
10
4
800
100
0.94875
3
0.77374
9
0.18338
0.76042
0.91861
6m 59s
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train
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Tesla T4
1
32
0.6
10
1024
299
299
0.2247
10
4
800
100
0.94875
1
0.80707
9
0.17013
0.70833
1.10295
7m 53s
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train
KL-do i need to test out additional learning rate values/ranges?
Tesla T4
1
review
32
0.3
10
256
299
299
0.19479
10
4
800
100
0.94375
4
0.82502
9
0.18208
0.75
0.99735
7m 26s
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train
JB-i think this one could be ready for production following team review!
Tesla T4
1
candidate
review
32
0.4
10
512
299
299
0.23345
10
4
800
100
0.93125
4
0.90825
9
0.18784
0.75
1.00389
6m 43s
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train
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Tesla T4
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32
0.3
10
128
299
299
0.22414
10
4
800
100
0.93375
1
0.8549
9
0.25226
0.75
0.994
6m 56s
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train
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Tesla T4
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32
0.7
10
1024
299
299
0.0019666
10
4
800
100
0.9375
1
0.82395
9
0.19836
0.73958
0.95527
7m 32s
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train
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Tesla T4
1
32
0.2
10
128
299
299
0.021076
10
4
800
100
0.91125
2
0.83239
9
0.26636
0.75
0.94597
7m 10s
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train
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Tesla T4
1
32
0.2
10
256
299
299
0.053033
10
4
800
100
0.9275
1
0.87136
9
0.20818
0.67708
1.19662
9m 3s
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train
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Tesla T4
1
baseline
32
0.7
10
1024
299
299
0.11115
10
4
800
100
0.93375
5
0.91116
9
0.21081
0.76042
0.96813
50s
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data_split
80-10-10
Tesla T4
1
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partitioning
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40s
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upload
SMALL dataset-100 images across 10 labels
Tesla T4
1
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raw data
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1-13
of 13