learning_rate: 1e-05
train_batch_size: 5
eval_batch_size: 5
seed: 42
optimizer: Use OptimizerNames.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: 2500

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.5	250	0.6612	0.1340	0.1849	0.1554	0.8477
0.8157	5.0	500	0.4681	0.3127	0.3809	0.3435	0.8876
0.8157	7.5	750	0.3601	0.3973	0.5049	0.4447	0.9125
0.3587	10.0	1000	0.2979	0.5004	0.5945	0.5434	0.9268
0.3587	12.5	1250	0.2673	0.5958	0.6660	0.6289	0.9386
0.2313	15.0	1500	0.2444	0.6228	0.7041	0.6610	0.9437
0.2313	17.5	1750	0.2317	0.6353	0.7185	0.6744	0.9453
0.1717	20.0	2000	0.2224	0.6527	0.7227	0.6859	0.9485
0.1717	22.5	2250	0.2191	0.6580	0.7255	0.6901	0.9481
0.145	25.0	2500	0.2173	0.6567	0.7311	0.6919	0.9491

armanbb/layoutlmv3-finetuned-500

layoutlmv3-finetuned-500