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
0.2561	1.0	46	0.1958	0.8819	0.8581
0.1479	2.0	92	0.1839	0.9026	0.8821
0.0730	3.0	138	0.1941	0.9106	0.8889
0.0482	4.0	184	0.2087	0.9053	0.8872
0.0209	5.0	230	0.2163	0.8984	0.8691
0.0270	6.0	276	0.2235	0.9172	0.8821
0.0131	7.0	322	0.2250	0.9142	0.8862
0.0361	8.0	368	0.2241	0.9129	0.8849
0.0087	9.0	414	0.2465	0.9170	0.8906
0.0188	10.0	460	0.2351	0.9108	0.8855
0.0092	11.0	506	0.2228	0.9138	0.8889
0.0059	12.0	552	0.2324	0.9175	0.8974
0.0010	13.0	598	0.2355	0.9150	0.9043
0.0024	14.0	644	0.2377	0.9208	0.8991
0.0013	15.0	690	0.2408	0.9183	0.8974
0.0007	16.0	736	0.2449	0.9094	0.8906
0.0019	17.0	782	0.2480	0.9159	0.8991
0.0004	18.0	828	0.2466	0.9110	0.8906
0.0004	19.0	874	0.2475	0.9126	0.8923
0.0006	20.0	920	0.2474	0.9130	0.8923

TomasFAV/DonutInvoiceCzechV013

DonutInvoiceCzechV013