learning_rate: 9e-05
train_batch_size: 4
eval_batch_size: 1
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
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2874	1.0	46	0.1856	0.9007	0.8788
0.1328	2.0	92	0.2057	0.8800	0.8535
0.0790	3.0	138	0.1899	0.8992	0.8921
0.0493	4.0	184	0.2266	0.9103	0.8912
0.0391	5.0	230	0.2266	0.8962	0.8739
0.0271	6.0	276	0.2532	0.8840	0.8658
0.0238	7.0	322	0.2393	0.9016	0.8803
0.0211	8.0	368	0.2429	0.9090	0.8846
0.0210	9.0	414	0.2326	0.9266	0.8889
0.0184	10.0	460	0.2241	0.9216	0.9026
0.0109	11.0	506	0.2483	0.9075	0.8933
0.0037	12.0	552	0.2443	0.9274	0.9077
0.0023	13.0	598	0.2457	0.9269	0.8991
0.0057	14.0	644	0.2397	0.9278	0.9026
0.0024	15.0	690	0.2320	0.9346	0.9077
0.0008	16.0	736	0.2390	0.9344	0.9077
0.0015	17.0	782	0.2401	0.9350	0.9077
0.0042	18.0	828	0.2405	0.9346	0.9077
0.0016	19.0	874	0.2426	0.9322	0.9060
0.0035	20.0	920	0.2426	0.9322	0.9060

TomasFAV/DonutInvoiceCzechV03

DonutInvoiceCzechV03