5.8 Increase the warm up bias to 0.101
Case 7. Increase the warmup bias to 0.101
- lr0 -> 0.1
- momentum ->0.92
- lrf ->0.2
- weight_decay: 0.000499
- warmup_epochs -> 2.5
- warmup –momentum -> 0.801
- warmup-bias -> 0.101
- optimizer : SGD
In this experiment, we revert back to our best weight decay and increase
the warmup bias learning rate to 0.101. The result obtained was PR AUC
0.128 at mAP@0.5 | F1 max 0.09 at 0.116 confidence which
successfully was an improvement to the model. Figure 15 shows the
F1-Confidence curve which depicts the score of F1 max 0.09 at 0.116
confidence rate which is better as compared to the result achieved.
Figure 16 shows the Precision- Recall curve which depicts the score of
PR AUC 0.128 at mAP@0.5 which is better as compared to the result
achieved. The result obtained was PR AUC 0.128 at mAP@0.5 | F1
max 0.09 at 0.116 confidence which successfully was an improvement to
the model.