learning_rate: 3.672902723518222e-05
train_batch_size: 16
eval_batch_size: 16
seed: 0
optimizer: Use OptimizerNames.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	Accuracy
0.6871	1.0	156	0.6571	0.6209
0.5551	2.0	312	0.7313	0.6245
0.323	3.0	468	0.8955	0.6209
0.1674	4.0	624	1.4010	0.6570
0.1041	5.0	780	1.8407	0.6570
0.0708	6.0	936	2.1628	0.6390
0.0484	7.0	1092	2.4903	0.6209
0.0341	8.0	1248	2.4404	0.6354
0.0167	9.0	1404	2.4768	0.6390
0.0183	10.0	1560	2.7297	0.6426
0.0108	11.0	1716	2.8008	0.6354
0.0049	12.0	1872	2.7771	0.6390
0.0045	13.0	2028	2.8901	0.6462
0.0007	14.0	2184	2.9665	0.6426
0.004	15.0	2340	2.9183	0.6390

mretbarkn/eee586

eee586