learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 25

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.1758	1.0	8	0.1713	0.3529	0.6	0.4444
0.1438	2.0	16	0.2149	0.1111	0.15	0.1277
0.0494	3.0	24	0.2381	0.36	0.45	0.4000
0.042	4.0	32	0.1144	0.5455	0.6	0.5714
0.0236	5.0	40	0.0788	0.7	0.7	0.7
0.0111	6.0	48	0.0804	0.8333	0.75	0.7895
0.0114	7.0	56	0.0964	0.6667	0.7	0.6829
0.0031	8.0	64	0.0892	0.8333	0.75	0.7895
0.0065	9.0	72	0.1038	0.75	0.75	0.75
0.0014	10.0	80	0.1093	0.75	0.75	0.75
0.0045	11.0	88	0.0998	0.75	0.75	0.75
0.0027	12.0	96	0.0738	0.9444	0.85	0.8947
0.0008	13.0	104	0.0745	0.9444	0.85	0.8947
0.0029	14.0	112	0.1234	0.5833	0.7	0.6364
0.004	15.0	120	0.0865	0.6364	0.7	0.6667
0.0007	16.0	128	0.0888	0.8333	0.75	0.7895
0.0055	17.0	136	0.0934	0.75	0.75	0.75
0.0004	18.0	144	0.0854	0.8333	0.75	0.7895
0.0004	19.0	152	0.0846	0.8333	0.75	0.7895
0.0005	20.0	160	0.0843	0.8333	0.75	0.7895
0.0005	21.0	168	0.0852	0.8333	0.75	0.7895
0.0004	22.0	176	0.0862	0.8333	0.75	0.7895
0.0005	23.0	184	0.0875	0.8333	0.75	0.7895
0.0003	24.0	192	0.0892	0.75	0.75	0.75
0.0005	25.0	200	0.0896	0.75	0.75	0.75

nifras365/OCR-Model-v3

layoutlm-receipts