learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training Loss	Epoch	Step	Accuracy	F1 Progress Follow Up Note	F1 Visit Note Multiple Notes	Validation Loss	Macro F1	Macro Precision	Macro Recall	Precision Progress Follow Up Note	Precision Visit Note Multiple Notes	Recall Progress Follow Up Note	Recall Visit Note Multiple Notes	Weighted F1
0.4912	0.3168	500	0.7062	0.6104	0.7641	0.5445	0.6873	0.7731	0.7066	0.9087	0.6374	0.4595	0.9537	0.6871
0.3608	0.6335	1000	0.8282	0.8418	0.8120	0.4213	0.8269	0.8378	0.8280	0.7812	0.8945	0.9126	0.7434	0.8269
0.3789	0.9503	1500	0.8485	0.8459	0.8509	0.3537	0.8484	0.8489	0.8485	0.8621	0.8357	0.8303	0.8667	0.8484
0.2658	1.2667	2000	0.8602	0.8596	0.8608	0.3743	0.8602	0.8602	0.8602	0.8648	0.8556	0.8544	0.8660	0.8602
0.3878	1.5835	2500	0.8641	0.8614	0.8667	0.3856	0.8641	0.8648	0.8641	0.8806	0.8489	0.8430	0.8852	0.8640
0.2924	1.9003	3000	0.8541	0.8499	0.8581	0.4044	0.8540	0.8554	0.8542	0.8769	0.8339	0.8246	0.8838	0.8540
0.3093	2.2167	3500	0.8680	0.8677	0.8683	0.3957	0.8680	0.8680	0.8680	0.8712	0.8649	0.8643	0.8717	0.8680
0.171	2.5334	4000	0.5077	0.8620	0.8632	0.8620	0.8619	0.8619	0.8418	0.8909	0.8657	0.8846	0.8331	0.8581
0.1688	2.8502	4500	0.5981	0.8623	0.8641	0.8624	0.8622	0.8622	0.8382	0.8974	0.8668	0.8900	0.8274	0.8576

neuralit/layoutlmv3-large-model2aa-visit-vs-progress

layoutlmv3-large-model2aa-visit-vs-progress