learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 1000

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	10.0	100	0.7158	0.6964	0.7690	0.7309	0.7833
No log	20.0	200	0.7508	0.7420	0.8058	0.7726	0.8076
No log	30.0	300	0.8085	0.7678	0.8097	0.7882	0.8078
No log	40.0	400	0.9083	0.7689	0.8147	0.7911	0.8061
0.3419	50.0	500	0.9294	0.7840	0.8296	0.8062	0.8128
0.3419	60.0	600	1.0036	0.7807	0.8366	0.8077	0.8178
0.3419	70.0	700	1.0983	0.7727	0.8241	0.7976	0.8044
0.3419	80.0	800	1.1092	0.7921	0.8251	0.8083	0.8064
0.3419	90.0	900	1.1010	0.7780	0.8306	0.8035	0.8133
0.0261	100.0	1000	1.1059	0.7823	0.8281	0.8045	0.8135

adamadam111/layoutlmv3-finetuned-funsd

layoutlmv3-finetuned-funsd