This repository has been archived on 2024-10-22. You can view files and clone it, but cannot push or open issues or pull requests.
soft-analytics-02/models/final/train_log.txt
Claudio Maggioni a4ceee8716 Final version of the project
History has been rewritten to delete large files in repo
2024-01-03 15:28:43 +01:00

39 lines
2.5 KiB
Text

Excluding token lengths < 33.0 (25.00%ile): 123184 instances
Excluding token lengths > 129.0 (75.00%ile): 124447 instances
pretrain dataset: 126184 functions loaded
finetune train dataset: 100948 functions loaded
finetune val dataset: 12618 functions loaded
finetune test dataset: 12619 functions loaded
Using device: cuda
Pretraining for 1 epochs
train dataset: 100948 functions found
train dataset: 52623 conditions found
val dataset: 12618 functions found
val dataset: 6547 conditions found
Tuning for 20 epochs
E1/20, Train Loss: 1.1067, Train Accuracy: 0.2565, Val Loss: 0.8622, Val Accuracy: 0.3531
E2/20, Train Loss: 0.8583, Train Accuracy: 0.3343, Val Loss: 0.8208, Val Accuracy: 0.3680
E3/20, Train Loss: 0.7284, Train Accuracy: 0.3804, Val Loss: 0.7892, Val Accuracy: 0.3890
E4/20, Train Loss: 0.6331, Train Accuracy: 0.4196, Val Loss: 0.7816, Val Accuracy: 0.4145
E5/20, Train Loss: 0.5551, Train Accuracy: 0.4537, Val Loss: 0.7875, Val Accuracy: 0.4181
E6/20, Train Loss: 0.4896, Train Accuracy: 0.4853, Val Loss: 0.7974, Val Accuracy: 0.4289
E7/20, Train Loss: 0.4327, Train Accuracy: 0.5162, Val Loss: 0.8193, Val Accuracy: 0.4384
E8/20, Train Loss: 0.3834, Train Accuracy: 0.5407, Val Loss: 0.8201, Val Accuracy: 0.4466
E9/20, Train Loss: 0.3421, Train Accuracy: 0.5681, Val Loss: 0.8281, Val Accuracy: 0.4524
E10/20, Train Loss: 0.3055, Train Accuracy: 0.5926, Val Loss: 0.8484, Val Accuracy: 0.4547
E11/20, Train Loss: 0.2721, Train Accuracy: 0.6148, Val Loss: 0.8606, Val Accuracy: 0.4625
E12/20, Train Loss: 0.2416, Train Accuracy: 0.6392, Val Loss: 0.8756, Val Accuracy: 0.4623
E13/20, Train Loss: 0.2165, Train Accuracy: 0.6589, Val Loss: 0.8958, Val Accuracy: 0.4675
E14/20, Train Loss: 0.1960, Train Accuracy: 0.6792, Val Loss: 0.9253, Val Accuracy: 0.4698
E15/20, Train Loss: 0.1765, Train Accuracy: 0.6954, Val Loss: 0.9369, Val Accuracy: 0.4680
E16/20, Train Loss: 0.1608, Train Accuracy: 0.7161, Val Loss: 0.9492, Val Accuracy: 0.4691
E17/20, Train Loss: 0.1428, Train Accuracy: 0.7371, Val Loss: 0.9709, Val Accuracy: 0.4727
E18/20, Train Loss: 0.1333, Train Accuracy: 0.7508, Val Loss: 0.9966, Val Accuracy: 0.4720
E19/20, Train Loss: 0.1232, Train Accuracy: 0.7625, Val Loss: 0.9881, Val Accuracy: 0.4769
E20/20, Train Loss: 0.1146, Train Accuracy: 0.7750, Val Loss: 1.0142, Val Accuracy: 0.4781
test dataset: 12619 functions found
test dataset: 6637 conditions found
test_usi dataset: 5000 functions found
test_usi dataset: 5000 conditions found
Test Accuracy: 48.26%
USI Test Accuracy: 19.54%