learning_rate: 1e-05
train_batch_size: 5
eval_batch_size: 5
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 2500

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	8.3333	250	0.6570	0.7453	0.7993	0.7713	0.7910
0.4849	16.6667	500	0.7408	0.7871	0.8321	0.8090	0.8178
0.4849	25.0	750	0.8480	0.7826	0.8296	0.8054	0.8169
0.0669	33.3333	1000	0.9684	0.7941	0.8316	0.8124	0.8191
0.0669	41.6667	1250	1.0386	0.7831	0.8410	0.8110	0.8124
0.0224	50.0	1500	1.1457	0.7924	0.8326	0.8120	0.8112
0.0224	58.3333	1750	1.1723	0.7866	0.8276	0.8066	0.8127
0.0088	66.6667	2000	1.1545	0.7923	0.8261	0.8089	0.8168
0.0088	75.0	2250	1.2375	0.8025	0.8256	0.8139	0.8191
0.0042	83.3333	2500	1.2493	0.7999	0.8301	0.8147	0.8160

Kandru/layoutlmv3-finetuned-cord_100

layoutlmv3-finetuned-cord_100