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	Validation Loss	Accuracy	Macro Precision	Macro Recall	Macro F1	Weighted F1	Precision Radiology Report	Recall Radiology Report	F1 Radiology Report	Precision Lab Report	Recall Lab Report	F1 Lab Report	Precision Operative Report	Recall Operative Report	F1 Operative Report
0.2022	0.4851	500	0.1871	0.9618	0.9581	0.9599	0.9589	0.9619	0.975	0.9614	0.9682	0.9465	0.9685	0.9574	0.9529	0.9497	0.9513
0.0799	0.9703	1000	0.1950	0.9618	0.9538	0.9639	0.9586	0.9619	0.9813	0.9550	0.9680	0.9481	0.9701	0.9590	0.9320	0.9664	0.9489
0.0367	1.4551	1500	0.2264	0.9635	0.9604	0.9645	0.9624	0.9635	0.9792	0.9603	0.9697	0.9418	0.9668	0.9542	0.96	0.9664	0.9632
0.0602	1.9402	2000	0.1863	0.9640	0.9620	0.9634	0.9626	0.9641	0.9751	0.9636	0.9693	0.9480	0.9668	0.9573	0.9630	0.9597	0.9613
0.0604	2.4250	2500	0.1429	0.9689	0.9680	0.9696	0.9688	0.9689	0.9752	0.9689	0.9720	0.9589	0.9668	0.9628	0.9699	0.9732	0.9715
0.0447	2.9101	3000	0.1817	0.9673	0.9673	0.9673	0.9672	0.9673	0.9772	0.9636	0.9703	0.9484	0.9751	0.9616	0.9762	0.9631	0.9696

neuralit/layoutlmv3-large-model2b-radiology-lab-operative

layoutlmv3-large-model2b-radiology-lab-operative