learning_rate: 0.0001
train_batch_size: 512
eval_batch_size: 512
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: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5206	1.0	1062	0.6731	0.6630
0.4975	2.0	2124	0.5803	0.7283
0.4246	3.0	3186	0.5133	0.7714
0.4144	4.0	4248	0.5065	0.7732
0.4108	5.0	5310	0.4332	0.8035
0.4015	6.0	6372	0.5020	0.7641
0.3832	7.0	7434	0.4842	0.7745
0.4605	8.0	8496	0.5352	0.7508
0.3942	9.0	9558	0.5150	0.7602
0.4165	10.0	10620	0.5101	0.7617
0.3736	11.0	11682	0.5020	0.7687
0.3771	12.0	12744	0.5104	0.7615
0.3705	13.0	13806	0.4736	0.7750
0.402	14.0	14868	0.4932	0.7698
0.4034	15.0	15930	0.5025	0.7638

ppak10/defect-classification-t5-baseline-15-epochs

defect-classification-t5-baseline-15-epochs