learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 2
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	0.3195	100	0.0961	0.9121	0.9134	0.9128	0.9752
No log	0.6390	200	0.0772	0.9120	0.9396	0.9256	0.9780
No log	0.9585	300	0.0707	0.9272	0.9509	0.9389	0.9822
No log	1.2780	400	0.0638	0.9202	0.9602	0.9398	0.9819
0.1131	1.5974	500	0.0631	0.9270	0.9582	0.9423	0.9829
0.1131	1.9169	600	0.0561	0.9331	0.9615	0.9471	0.9843
0.1131	2.2364	700	0.0651	0.9141	0.9720	0.9421	0.9824
0.1131	2.5559	800	0.0537	0.9515	0.9556	0.9535	0.9862
0.1131	2.8754	900	0.0556	0.9467	0.9582	0.9524	0.9860
0.0379	3.1949	1000	0.0558	0.9435	0.9612	0.9523	0.9858

Rahmaa33/layoutlmv3-finetuned-invoice

layoutlmv3-finetuned-invoice