Trained all night on my GPU and this is the best I got with my old dataset with lots of error prone hand-done data + newly generated one...
[300000/300000] Train loss: 0.00381, Valid loss: 0.00855, Elapsed_time: 50642.84251
Current_accuracy : 98.454, Current_norm_ED : 0.9977
Best_accuracy : 98.551, Best_norm_ED : 0.9982
I think that's maybe 1% better than the old model, will add a couple tests where this model is proven to outperform the last..
Trained all night on my GPU and this is the best I got with my old dataset with lots of error prone hand-done data + newly generated one...
I think that's maybe 1% better than the old model, will add a couple tests where this model is proven to outperform the last..