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	0.25	100	1.2179	0.5929	0.6203	0.6063	0.7059
No log	0.5	200	0.8495	0.8007	0.7808	0.7906	0.8147
No log	0.75	300	0.6782	0.8353	0.8180	0.8266	0.8339
No log	1.0	400	0.5858	0.8430	0.8304	0.8367	0.8417
0.9914	1.25	500	0.5506	0.8573	0.8395	0.8483	0.8490
0.9914	1.5	600	0.4891	0.8670	0.8519	0.8594	0.8554
0.9914	1.75	700	0.4376	0.8684	0.8569	0.8626	0.8628
0.9914	2.0	800	0.3956	0.8768	0.8768	0.8768	0.8820
0.9914	2.25	900	0.3797	0.8798	0.8776	0.8787	0.8852
0.4483	2.5	1000	0.3755	0.8789	0.8825	0.8807	0.8920

luc4spiquet/layoutlmv3-finetuned-cord_100

layoutlmv3-finetuned-cord_100