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Multinomial Logistic Regression on WineQ
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Runs
25
Name
19 visualized
epochs: 1000, lr: 0.001
epochs: 1000, lr: 0.001
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 1e-05
epochs: 2000, lr: 0.1
epochs: 2000, lr: 0.1
epochs: 1000, lr: 0.005
epochs: 1000, lr: 0.005
epochs: 1000, lr: 0.1
epochs: 1000, lr: 0.1
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 0.0005
epochs: 2000, lr: 0.1
epochs: 2000, lr: 0.1
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 0.0005
epochs: 2000, lr: 0.005
epochs: 2000, lr: 0.005
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 1e-05
epochs: 2000, lr: 0.001
epochs: 2000, lr: 0.001
epochs: 2000, lr: 0.0005
epochs: 2000, lr: 0.0005
Epochs: 2000, LR: 0.0001
Epochs: 2000, LR: 0.0001
Epochs: 2000, LR: 5e-05
Epochs: 2000, LR: 5e-05
Epochs: 3000, LR: 1e-05
Epochs: 3000, LR: 1e-05
Epochs: 2000, LR: 1e-05
Epochs: 2000, LR: 1e-05
Epochs: 1500, LR: 5e-05
Epochs: 1500, LR: 5e-05
1-20
of 25
train_acc
train_acc
Showing first 10 runs
0
500
1k
1.5k
Step
0.2
0.3
0.4
0.5
0.6
epochs: 1000, lr: 0.001
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 0.0005
epochs: 1000, lr: 1e-05
epochs: 1000, lr: 1e-05
epochs: 2000, lr: 0.001
epochs: 2000, lr: 0.0005
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