learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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
training_steps: 1000

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.3514	100	0.1278	0.9922	0.9845	0.9883	0.9905
No log	2.7027	200	0.0709	0.9902	0.9806	0.9854	0.9941
No log	4.0541	300	0.0882	0.9802	0.9612	0.9706	0.9881
No log	5.4054	400	0.0309	0.9961	0.9922	0.9942	0.9976
0.0005	6.7568	500	0.0116	0.9981	0.9961	0.9971	0.9988
0.0005	8.1081	600	0.0294	0.9961	0.9922	0.9942	0.9976
0.0005	9.4595	700	0.0117	0.9981	0.9961	0.9971	0.9988
0.0005	10.8108	800	0.0129	0.9981	0.9961	0.9971	0.9988
0.0005	12.1622	900	0.0176	0.9961	0.9922	0.9942	0.9976
0.0	13.5135	1000	0.0166	0.9961	0.9922	0.9942	0.9976

nadirzn/layoutlmv3-finetuned-v8

layoutlmv3-finetuned-v8