Gladiator's workspace
Runs
15
Name
5 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
batch_size
epochs
exp_decay
image_size
learning_rate
max_lr
min_lr
model_summary
num_cores
num_of_epochs
start_lr
total_parameters
total_trainable_parameters
train_batch_size
valid_batch_size
Time_taken
best_epoch
best_val_loss
epoch
loss
lr
sparse_categorical_accuracy
train_accuracy
train_loss
val_loss
val_sparse_categorical_accuracy
valid_accuracy
valid_loss
Finished
gladiator
3h 4m 49s
-
64
-
0.8
[512,512]
-
0.00005
0.00001
Model: "sequential_1"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda_1 (Lambda) (None, 512, 512, 3) 0
_________________________________________________________________
densenet201 (Functional) (None, None, None, 1920) 18321984
_________________________________________________________________
global_average_pooling2d_1 ( (None, 1920) 0
_________________________________________________________________
dense_3 (Dense) (None, 1024) 1967104
_________________________________________________________________
batch_normalization_2 (Batch (None, 1024) 4096
_________________________________________________________________
dropout_2 (Dropout) (None, 1024) 0
_________________________________________________________________
dense_4 (Dense) (None, 512) 524800
_________________________________________________________________
batch_normalization_3 (Batch (None, 512) 2048
_________________________________________________________________
dropout_3 (Dropout) (None, 512) 0
_________________________________________________________________
dense_5 (Dense) (None, 104) 53352
=================================================================
Total params: 20,873,384
Trainable params: 2,548,328
Non-trainable params: 18,325,056
_________________________________________________________________
-
30
0.00001
-
-
-
-
11079.62769
29
0.59694
29
0.47381
0.000010189
0.88521
-
-
0.59694
0.8548
-
-
Finished
gladiator
1h 26m 10s
-
64
-
0.8
[512,512]
-
0.00005
0.00001
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda (Lambda) (None, 512, 512, 3) 0
_________________________________________________________________
densenet201 (Functional) (None, None, None, 1920) 18321984
_________________________________________________________________
global_average_pooling2d (Gl (None, 1920) 0
_________________________________________________________________
dense (Dense) (None, 1024) 1967104
_________________________________________________________________
batch_normalization (BatchNo (None, 1024) 4096
_________________________________________________________________
dropout (Dropout) (None, 1024) 0
_________________________________________________________________
dense_1 (Dense) (None, 512) 524800
_________________________________________________________________
batch_normalization_1 (Batch (None, 512) 2048
_________________________________________________________________
dropout_1 (Dropout) (None, 512) 0
_________________________________________________________________
dense_2 (Dense) (None, 104) 53352
=================================================================
Total params: 20,873,384
Trainable params: 2,548,328
Non-trainable params: 18,325,056
_________________________________________________________________
-
30
0.00001
-
-
-
-
5161.98359
29
0.57246
29
0.46386
0.000010189
0.88953
-
-
0.57246
0.86611
-
-
Finished
gladiator
1h 17m 53s
-
-
20
-
-
0.0001
-
-
-
-
-
-
20641256
20641256
32
32
4175.76988
-
-
-
-
-
-
94.11765
0.25747
-
-
96.875
0.068507
Finished
gladiator
1h 12m 47s
-
-
20
-
-
0.0001
-
-
-
-
-
-
20641256
20641256
32
32
4076.95427
-
-
-
-
-
-
100
0.025218
-
-
93.75
0.25057
Crashed
gladiator
1h 19s
-
-
25
-
-
0.0001
-
-
-
-
-
-
-
-
32
32
-
-
-
-
-
-
-
87.5
0.46127
-
-
87.5
0.51598
Finished
gladiator
53m 49s
-
64
-
0.8
[512,512]
-
0.00005
0.00001
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda (Lambda) (None, 512, 512, 3) 0
_________________________________________________________________
densenet201 (Functional) (None, None, None, 1920) 18321984
_________________________________________________________________
global_average_pooling2d (Gl (None, 1920) 0
_________________________________________________________________
dense (Dense) (None, 1024) 1967104
_________________________________________________________________
batch_normalization (BatchNo (None, 1024) 4096
_________________________________________________________________
dropout (Dropout) (None, 1024) 0
_________________________________________________________________
dense_1 (Dense) (None, 512) 524800
_________________________________________________________________
batch_normalization_1 (Batch (None, 512) 2048
_________________________________________________________________
dropout_1 (Dropout) (None, 512) 0
_________________________________________________________________
dense_2 (Dense) (None, 104) 53352
=================================================================
Total params: 20,873,384
Trainable params: 2,548,328
Non-trainable params: 18,325,056
_________________________________________________________________
-
30
0.00001
-
-
-
-
3220.82089
29
0.58765
29
0.45657
0.000010189
0.8922
-
-
0.58765
0.85318
-
-
Finished
gladiator
49m 30s
-
-
25
-
-
0.0001
-
-
-
-
-
-
-
-
32
32
2964.63046
-
-
-
-
-
-
94.11765
0.18121
-
-
90.625
0.27465
Finished
gladiator
16m 55s
-
512
-
0.8
[512,512]
-
0.0004
0.00001
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda (Lambda) (None, 512, 512, 3) 0
_________________________________________________________________
densenet201 (Functional) (None, None, None, 1920) 18321984
_________________________________________________________________
global_average_pooling2d (Gl (None, 1920) 0
_________________________________________________________________
dense (Dense) (None, 1024) 1967104
_________________________________________________________________
batch_normalization (BatchNo (None, 1024) 4096
_________________________________________________________________
dropout (Dropout) (None, 1024) 0
_________________________________________________________________
dense_1 (Dense) (None, 512) 524800
_________________________________________________________________
batch_normalization_1 (Batch (None, 512) 2048
_________________________________________________________________
dropout_1 (Dropout) (None, 512) 0
_________________________________________________________________
dense_2 (Dense) (None, 104) 53352
=================================================================
Total params: 20,873,384
Trainable params: 2,548,328
Non-trainable params: 18,325,056
_________________________________________________________________
-
30
0.00001
-
-
-
-
1006.46171
29
0.5242
29
0.3235
0.000011842
0.92318
-
-
0.5242
0.868
-
-
Finished
gladiator
11m 53s
-
512
-
0.8
[512,512]
-
0.0004
0.00001
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda (Lambda) (None, 512, 512, 3) 0
_________________________________________________________________
densenet201 (Functional) (None, None, None, 1920) 18321984
_________________________________________________________________
global_average_pooling2d (Gl (None, 1920) 0
_________________________________________________________________
dense (Dense) (None, 1024) 1967104
_________________________________________________________________
batch_normalization (BatchNo (None, 1024) 4096
_________________________________________________________________
dropout (Dropout) (None, 1024) 0
_________________________________________________________________
dense_1 (Dense) (None, 512) 524800
_________________________________________________________________
batch_normalization_1 (Batch (None, 512) 2048
_________________________________________________________________
dropout_1 (Dropout) (None, 512) 0
_________________________________________________________________
dense_2 (Dense) (None, 104) 53352
=================================================================
Total params: 20,873,384
Trainable params: 2,548,328
Non-trainable params: 18,325,056
_________________________________________________________________
-
20
0.00001
-
-
-
-
702.97329
19
0.56161
19
0.34256
0.000027152
0.92008
-
-
0.56161
0.87015
-
-
Finished
gladiator
11m 32s
-
512
-
0.8
[512,512]
-
0.0004
0.00001
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lambda (Lambda) (None, 512, 512, 3) 0
_________________________________________________________________
densenet201 (Functional) (None, None, None, 1920) 18321984
_________________________________________________________________
global_average_pooling2d (Gl (None, 1920) 0
_________________________________________________________________
dense (Dense) (None, 1024) 1967104
_________________________________________________________________
batch_normalization (BatchNo (None, 1024) 4096
_________________________________________________________________
dropout (Dropout) (None, 1024) 0
_________________________________________________________________
dense_1 (Dense) (None, 512) 524800
_________________________________________________________________
batch_normalization_1 (Batch (None, 512) 2048
_________________________________________________________________
dropout_1 (Dropout) (None, 512) 0
_________________________________________________________________
dense_2 (Dense) (None, 104) 53352
=================================================================
Total params: 20,873,384
Trainable params: 2,548,328
Non-trainable params: 18,325,056
_________________________________________________________________
-
30
0.00001
-
-
-
-
665.08314
29
0.5131
29
0.32071
0.000011842
0.92456
-
-
0.5131
0.87635
-
-
Finished
gladiator
10m
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
589.64745
14
0.43832
14
0.24553
0.000062345
0.93671
-
-
0.43832
0.88982
-
-
Finished
gladiator
9m 44s
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
573.98291
14
0.47785
14
0.28377
0.000062345
0.9312
-
-
0.47785
0.88147
-
-
Finished
gladiator
8m 11s
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
481.03201
14
1.64647
14
0.58289
0.000062345
0.85848
-
-
1.64647
0.80954
-
-
Finished
gladiator
5m 54s
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
gladiator
4m 44s
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
278.71263
13
0.51594
14
0.2622
0.000062345
0.93419
-
-
0.51842
0.86773
-
-
1-15
of 15