Ogait's workspace
Runs
701
Name
701 visualized
State
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Finished
Created
Notes
Runtime
Sweep
architecture
mixed_precision
experiment_no
view
batch_size
epochs
suggest_func
weighted_loss
label_smoothing
mixup
Learner.loss_func._name._name
Learner.loss_func._name.axis
Learner.loss_func._name.flatten
Learner.loss_func._name.floatify
Learner.loss_func._name.gamma
Learner.loss_func._name.is_2d
Learner.loss_func._name.reduction
Learner.loss_func._name.weight
Learner.loss_func.gamma
correct_labels
focal_loss
save_model
normalize
accuracy
lr_finder_lr
total_runtime
train_loss
valid_loss
best_f1
combined_f1_time
combined_bestf1_time
tl_fast1_aug1
3m 39s
convnext_nano
true
-
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
-
-
0.98913
0.00017378
52.33834
0.059919
0.048812
0.98434
0.9826
0.9826
tl_fast1_aug2
4m 4s
convnext_nano
true
-
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
-
-
0.98991
0.00025119
50.7356
0.059264
0.046041
0.9842
0.98251
0.98251
tl_fast1_aug3
3m 53s
convnext_nano
true
-
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
-
-
0.99068
0.000302
54.61505
0.020917
0.056932
0.98269
0.98075
0.98087
tl_best1
6m 57s
convnext_nano
true
1
encoded134
64
7
minimum
effective
-
-
FlattenedLoss of FocalLoss()
-
-
-
2
-
mean
[0.7015203833580017,0.7646113634109497,1.6946841478347778,0.6590330600738525,1.5312159061431885,0.6729376912117004,0.7261049747467041,0.6595796346664429,0.6640048027038574,0.6614350080490112,0.67308109998703,0.8371075391769409,1.2448371648788452,3.1932125091552734,0.67308109998703,0.7218061089515686,0.672378659248352,0.6926621198654175,1.0518687963485718,0.6709566116333008,2.122143030166626,0.7117360830307007]
2
true
true
false
-
0.99146
0.000302
96.01546
0.00057431
0.027819
0.98431
0.98045
0.98111
tl_best2
6m 49s
convnext_nano
true
1
encoded134
64
6
minimum
false
-
-
FlattenedLoss of FocalLoss()
-
-
-
2
-
mean
-
2
true
true
false
-
0.99146
0.00017378
77.94372
0.00094149
0.027993
0.98416
0.98035
0.98156
-
3m 44s
resnet18
true
-
encoded134
64
4
minimum
false
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
-
false
-
0.98991
0.0027542
38.68817
0.030267
0.045291
0.98146
0.98017
0.98017
-
3m 14s
convnext_nano
true
-
encoded134
64
4
minimum
false
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
-
false
-
0.99068
0.00025119
44.38097
0.011608
0.04745
0.98109
0.97961
0.97961
tl_best5_aug1
5m 52s
convnext_nano
true
-
encoded134
64
8
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
-
-
0.98835
0.000302
88.1406
0.042605
0.064646
0.98223
0.97929
0.97929
-
3m 21s
convnext_nano
true
-
encoded134
64
4
steep
false
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
-
false
-
0.98991
0.00019055
43.07745
0.012151
0.053627
0.98041
0.97897
0.97897
-
3m 49s
convnext_nano
true
4
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
true
-
0.99068
0.00020893
49.88945
0.011359
0.072263
0.98059
0.97893
0.97893
-
5m 56s
convnext_nano
true
1
encoded134
64
8
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
true
-
0.99146
0.00036308
97.62334
0.0016482
0.058833
0.98259
0.97885
0.97934
tl_best3
10m 35s
convnext_nano
true
1
encoded134
32
6
steep
false
-
-
FlattenedLoss of FocalLoss()
-
-
-
2
-
mean
-
2
true
true
false
-
0.99146
0.00027542
91.433
0.00071882
0.02389
0.98247
0.97871
0.97942
-
11m 45s
resnet18
true
3
encoded134
32
9
valley
false
-
-
-
-
-
-
-
-
-
-
-
true
-
-
-
0.98913
0.00027542
70.40103
0.0025398
0.036512
0.98247
0.9787
0.98012
-
2m 17s
convnext_nano
true
2
encoded134
256
9
steep
effective
-
-
FlattenedLoss of FocalLoss()
-
-
-
2
-
mean
[0.7015203833580017,0.7646113634109497,1.6946841478347778,0.6590330600738525,1.5312159061431885,0.6729376912117004,0.7261049747467041,0.6595796346664429,0.6640048027038574,0.6614350080490112,0.67308109998703,0.8371075391769409,1.2448371648788452,3.1932125091552734,0.67308109998703,0.7218061089515686,0.672378659248352,0.6926621198654175,1.0518687963485718,0.6709566116333008,2.122143030166626,0.7117360830307007]
2
true
true
true
-
0.99146
0.00033113
82.37135
0.0026832
0.021039
0.98135
0.9786
0.9786
trf_best4
4m 5s
convnext_nano
true
1
encoded134
128
7
minimum
effective
-
-
FlattenedLoss of FocalLoss()
-
-
-
2
-
mean
[0.7015203833580017,0.7646113634109497,1.6946841478347778,0.6590330600738525,1.5312159061431885,0.6729376912117004,0.7261049747467041,0.6595796346664429,0.6640048027038574,0.6614350080490112,0.67308109998703,0.8371075391769409,1.2448371648788452,3.1932125091552734,0.67308109998703,0.7218061089515686,0.672378659248352,0.6926621198654175,1.0518687963485718,0.6709566116333008,2.122143030166626,0.7117360830307007]
2
true
true
false
-
0.99146
0.00036308
93.66911
0.0019804
0.026678
0.9816
0.97848
0.97848
-
3m 48s
convnext_nano
true
5
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
true
-
0.98913
0.00036308
50.23635
0.024034
0.068657
0.97993
0.97826
0.97826
-
3m 49s
convnext_nano
true
3
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
true
-
0.98913
0.00025119
50.95206
0.014235
0.065774
0.97974
0.97804
0.97804
-
5m 5s
convnext_nano
true
3
encoded134
64
5
minimum
inverse
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
true
-
0.98991
0.00020893
73.217
0.02441
0.054185
0.98259
0.978
0.98015
-
5m
convnext_nano
true
-
encoded134
64
4
minimum
false
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
-
-
0.99224
0.00036308
115.94668
0.028026
0.037583
0.98176
0.9779
0.9779
-
3m 31s
convnext_nano
true
4
encoded134
64
4
steep
effective
-
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
-
true
-
-
-
true
false
true
-
0.98913
0.00057544
45.83706
0.022651
0.055321
0.97935
0.97783
0.97783
1-20
of 701