learning_rate: 2e-05
train_batch_size: 1536
eval_batch_size: 1536
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
1.4632	1.0	354	1.3609	0.7587
0.9761	2.0	708	0.9344	0.7947
0.8105	3.0	1062	0.7649	0.8222
0.6766	4.0	1416	0.6937	0.8392
0.5973	5.0	1770	0.5825	0.8467
0.5265	6.0	2124	0.5075	0.8545
0.4848	7.0	2478	0.4811	0.8639
0.4463	8.0	2832	0.4465	0.8620
0.4195	9.0	3186	0.4131	0.8724
0.3934	10.0	3540	0.4131	0.8752
0.3712	11.0	3894	0.3667	0.8830
0.3549	12.0	4248	0.3582	0.8882
0.341	13.0	4602	0.3344	0.8925
0.3274	14.0	4956	0.3270	0.8930
0.319	15.0	5310	0.3154	0.8961
0.306	16.0	5664	0.3068	0.8986
0.3054	17.0	6018	0.3027	0.9000
0.2947	18.0	6372	0.2974	0.9011
0.293	19.0	6726	0.2925	0.9030
0.2952	20.0	7080	0.2900	0.9038

ppak10/defect-classification-llama-baseline-20-epochs-MAIL-10

defect-classification-llama-baseline-20-epochs-MAIL-10