learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 48
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss
1.6599	1.0	101	0.3251
1.2198	2.0	202	0.1840
0.9112	3.0	303	0.1631
0.8044	4.0	404	0.1529
0.6899	5.0	505	0.1478
0.7779	6.0	606	0.1473
0.5956	7.0	707	0.1484
0.5914	8.0	808	0.1467
0.5992	9.0	909	0.1440
0.6267	10.0	1010	0.1490
0.5742	11.0	1111	0.1458
0.5247	12.0	1212	0.1477
0.5237	13.0	1313	0.1478
0.5904	14.0	1414	0.1478

bustamiyusoef/DANN_JW_OnlyJWAugmentWithJHR

DANN_JW_OnlyJWAugmentWithJHR