learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 6
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
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.5201	250	0.3041	0.4864	0.5643	0.5225	0.9219
0.4848	1.0416	500	0.1620	0.7495	0.8031	0.7753	0.9652
0.4848	1.5617	750	0.1195	0.8386	0.8662	0.8522	0.9745
0.1555	2.0832	1000	0.0996	0.8764	0.9025	0.8892	0.9790
0.1555	2.6033	1250	0.0765	0.8984	0.9285	0.9132	0.9828
0.0941	3.1248	1500	0.0662	0.9207	0.9387	0.9296	0.9864
0.0941	3.6449	1750	0.0658	0.9361	0.9452	0.9406	0.9875
0.0643	4.1664	2000	0.0630	0.9317	0.9508	0.9411	0.9886
0.0643	4.6865	2250	0.0589	0.9338	0.9503	0.9420	0.9892
0.0503	5.2080	2500	0.0613	0.9339	0.9517	0.9427	0.9888

armanbb/layoutlmv3-finetuned-full

layoutlmv3-finetuned-full