learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	5	0.6931	1.0
0.7541	2.0	10	0.5361	1.0
0.7541	3.0	15	0.3814	1.0
0.4427	4.0	20	0.2867	1.0
0.4427	5.0	25	0.2026	1.0
0.2459	6.0	30	0.1390	1.0
0.2459	7.0	35	0.0953	1.0
0.123	8.0	40	0.0653	1.0
0.123	9.0	45	0.0450	1.0
0.0595	10.0	50	0.0313	1.0
0.0595	11.0	55	0.0250	1.0
0.0331	12.0	60	0.0215	1.0
0.0331	13.0	65	0.0171	1.0
0.0242	14.0	70	0.0146	1.0
0.0242	15.0	75	0.0133	1.0
0.0191	16.0	80	0.0127	1.0
0.0191	17.0	85	0.0122	1.0
0.0162	18.0	90	0.0118	1.0
0.0162	19.0	95	0.0115	1.0
0.015	20.0	100	0.0114	1.0

ychahwan/results

results