liu_pytorch_MLP Sweeps – Weights & Biases

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6.7. static lr dp0.8

6.7. static lr (dp0.8)

6.6. static lr (dp 0.8) cont.

6.5 Static LR cont.

6.4 static lr cont.

6.3. static lr 0.8do

7.1. 20f rough gs

5.4. OLCR 1_100 (get max lr)

1.8. Range Test (20f)

7. Top20 static lr

6.2. MLP static gs

6.1. MLP GS (scalers)

1.8. Range test (scalers 1_100)

5.2 OCLR dp 0.6

5.1 OCLR (1_50, 1_25, 1_10, 1_5)

1.7. LRfinder (1_10)

1.6. LRFinder (1_50,1_25)

5.0. 1_100 OCLR

1.5. LR range test (1_100)

1.4. LR range test (OCLR

3.5. MLP regularization GS

3.4. MLP regularization

3.3. MLP regulari

3.2. MLP Regularization

1.3. LR range test (for OCLR)

3.1. MLP GS Regu #

1.2 LR range test - Regu

3. MLP GS regularization

1.1. LR range test (Regularization)

2. MLP GS (earlystop)

1. LR range test

[archive] MLP Reg (OCLR)

2.5 MLP GS (With early stopping)

2_500_s49_Bayes_Noreg

Scaler Comparison (prev max)

Scaler Comparison

[redo] MLP GS 40f #2

[redo] MLP GS 40f

MLP 20 feat (liu's)

MLP, 1_100_512_lr_Bayes

MLP 40f, 1_100, 512 Bayes

MLP 20 feat (Additional)

MLP GS, 20 feat