learning_rate: 2e-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: 4000

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.7937	100	0.4396	0.6271	0.6015	0.6140	0.9064
No log	1.5873	200	0.2500	0.8669	0.8394	0.8529	0.9508
No log	2.3810	300	0.1517	0.8682	0.9050	0.8862	0.9634
No log	3.1746	400	0.1346	0.8694	0.9339	0.9005	0.9645
0.6691	3.9683	500	0.0943	0.9369	0.9325	0.9347	0.9778
0.6691	4.7619	600	0.0922	0.9049	0.9491	0.9265	0.9742
0.6691	5.5556	700	0.1106	0.8913	0.9540	0.9216	0.9717
0.6691	6.3492	800	0.0875	0.9091	0.9552	0.9316	0.9755
0.6691	7.1429	900	0.0958	0.8977	0.9623	0.9289	0.9743
0.1055	7.9365	1000	0.0936	0.9105	0.9448	0.9273	0.9738
0.1055	8.7302	1100	0.1035	0.9289	0.9415	0.9352	0.9766
0.1055	9.5238	1200	0.1115	0.9081	0.9507	0.9289	0.9739

mp-02/layoutlmv3-base-cord-sroie

layoutlmv3-base-cord-sroie