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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5451	1.0	1062	0.8419	0.6840
0.4981	2.0	2124	0.6668	0.6973
0.4465	3.0	3186	0.5410	0.7736
0.4091	4.0	4248	0.4561	0.8153
0.3967	5.0	5310	0.4574	0.8106
0.4033	6.0	6372	0.4654	0.8002
0.3887	7.0	7434	0.4576	0.7978
0.4674	8.0	8496	0.4824	0.7910
0.3977	9.0	9558	0.4450	0.8007
0.4191	10.0	10620	0.4415	0.7992
0.3749	11.0	11682	0.4439	0.7946
0.3741	12.0	12744	0.4987	0.7725
0.3772	13.0	13806	0.4445	0.8008
0.398	14.0	14868	0.4641	0.7800
0.3939	15.0	15930	0.4601	0.7856
0.3777	16.0	16992	0.4587	0.7869
0.3705	17.0	18054	0.4627	0.7835
0.3856	18.0	19116	0.4707	0.7791
0.3982	19.0	20178	0.4829	0.7758
0.3811	20.0	21240	0.4748	0.7776

ppak10/defect-classification-t5-baseline-20-epochs

defect-classification-t5-baseline-20-epochs