CV : 2.63
LB : 1.539833531
CV: 1.84
LB: 2.126634958
What Cv strategy do to use ?
Just a baseline fastai image regression model with
fit_one_cycle(), EarlyStoppingCallback etc with only 2kfold to test run for now.
@mithilsalumkhe what approach are you using
- object detection?
- image regression?
image regression
Update
CV : 2.53
LB 1.368608799
SKF 5 fold
hey, is it mse loss?, because I get 130 ~ 140 mse loss. Finally, when you report LB score is the average predictions of your 5 folds or retraining model using all data?.
MSE loss is not the metric for this comp, the metric for this comp is MAE loss. Yes i submit preds of 5 fold
which loss function your using?
'%3e%3ccircle r='20' fill='%23008'/%3e%3ccircle r='17.5' fill='%23fff'/%3e%3ccircle r='3.5' fill='%23008'/%3e%3cg id='d'%3e%3cg id='c'%3e%3cg id='b'%3e%3cg id='a' fill='%23008'%3e%3ccircle r='.875' transform='rotate(7.5 -8.75 133.5)'/%3e%3cpath d='M0 17.5.6 7 0 2l-.6 5L0 17.5z'/%3e%3c/g%3e%3cuse xlink:href='%23a' transform='rotate(15)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(30)'/%3e%3c/g%3e%3cuse xlink:href='%23c' transform='rotate(60)'/%3e%3c/g%3e%3cuse xlink:href='%23d' transform='rotate(120)'/%3e%3cuse xlink:href='%23d' transform='rotate(-120)'/%3e%3c/g%3e%3c/svg%3e)
CV: 1.84
LB: 2.126634958
What Cv strategy do to use ?
Just a baseline fastai image regression model with
fit_one_cycle(), EarlyStoppingCallback etc with only 2kfold to test run for now.
@mithilsalumkhe what approach are you using
- object detection?
- image regression?
image regression
Update
CV : 2.53
LB 1.368608799
SKF 5 fold
hey, is it mse loss?, because I get 130 ~ 140 mse loss. Finally, when you report LB score is the average predictions of your 5 folds or retraining model using all data?.
MSE loss is not the metric for this comp, the metric for this comp is MAE loss. Yes i submit preds of 5 fold
which loss function your using?