Deepakna's workspace
Runs
6
Name
2 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
base_model
base_model_weights
batch_size
categories
dataset
dataset_length
learning_rate
loss
metrics
num_epochs
optimizer
seed
test_accuracy
test_length
test_loss
train_length
transfer_learning_type
val_length
accuracy
best_epoch
best_val_loss
epoch
loss
val_accuracy
val_loss
Finished
deepakna
28m 16s
-
vgg16
imagenet
118
["sarTwoBandVizStd2017/nirr","sarTwoBandVizStd2017/irr"]
sarTwoBandVizStd2017
2017
0.0001
categorical_crossentropy
["accuracy"]
50
adam
110781
0.94389
303
0.23106
1411
feature_encoder
303
1
8
0.20044
49
0.00018857
0.94059
0.35147
Finished
deepakna
21m 42s
-
vgg16
imagenet
118
["sarTwoBandVizStd2017/nirr","sarTwoBandVizStd2017/irr"]
sarTwoBandVizStd2017
2017
-
categorical_crossentropy
["accuracy"]
50
adam
110781
0.94059
303
0.18978
1411
feature_encoder
303
1
5
0.21797
49
0.0019854
0.93069
0.29388
Finished
deepakna
13m 25s
-
vgg16
imagenet
118
["sarTwoBandVizStd2017Cleaned/nirr","sarTwoBandVizStd2017Cleaned/irr"]
sarTwoBandVizStd2017Cleaned
2017
-
categorical_crossentropy
["accuracy"]
50
adam
110781
0.9571
303
0.11596
1411
feature_encoder
303
0.96882
37
0.11553
49
0.091995
0.9538
0.11727
Finished
deepakna
10m 38s
-
vgg16
imagenet
118
["sarTwoBandVizStd2017/nirr","sarTwoBandVizStd2017/irr"]
sarTwoBandVizStd2017
2017
-
categorical_crossentropy
["accuracy"]
50
adam
110781
0.9538
303
0.16034
1411
feature_encoder
303
0.94543
41
0.12035
49
0.16514
0.9538
0.12233
Finished
deepakna
16m 29s
-
vgg16
imagenet
118
["sarTwoBandViz2017/nirr","sarTwoBandViz2017/irr"]
sarTwoBandViz2017
2024
-
categorical_crossentropy
["accuracy"]
50
adam
110781
0.90132
304
0.2785
1416
feature_encoder
304
0.91949
47
0.24366
49
0.23816
0.91118
0.2585
Crashed
deepakna
34m 21s
-
vgg16
imagenet
118
["sarTwoBandViz2017/nirr","sarTwoBandViz2017/irr"]
sarTwoBandViz2017
2024
-
categorical_crossentropy
["accuracy"]
50
adam
110781
0.91118
304
0.2566
1416
feature_encoder
304
0.91102
49
0.25616
49
0.2544
0.90461
0.25616
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