learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 1
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Char Accuracy
0.5942	1.0	2991	0.2929	0.4026
0.2355	2.0	5982	0.1610	0.4363
0.2194	3.0	8973	0.0913	0.2990
0.0696	4.0	11964	0.0879	0.3076
0.0896	5.0	14955	0.0761	0.4217
0.0355	6.0	17946	0.0893	0.6547
0.0321	7.0	20937	0.0761	0.5625
0.0262	8.0	23928	0.0877	0.5487
0.0284	9.0	26919	0.0890	0.7065
0.0295	10.0	29910	0.0823	0.6354
0.0383	11.0	32901	0.0893	0.6316
0.0203	12.0	35892	0.0957	0.5729
0.0003	13.0	38883	0.0929	0.5490
0.0056	14.0	41874	0.1008	0.5576
0.0037	15.0	44865	0.1109	0.6604
0.0203	16.0	47856	0.1168	0.6210
0.0019	17.0	50847	0.1209	0.6400
0.0051	18.0	53838	0.1223	0.6334
0.0	19.0	56829	0.1216	0.6325
0.0053	20.0	59820	0.1221	0.6385

VVVVL/invoice_extraction_donut_fromv0_f21_ep20_0724

invoice_extraction_donut_fromv0_f21_ep20_0724