Loss: 0.0031
Endorname: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 177}
Escription: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 183}
Illingaddress: {'precision': 1.0, 'recall': 0.9937888198757764, 'f1': 0.9968847352024921, 'number': 161}
Mount: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 175}
Nitprice: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 156}
Nvoicedate: {'precision': 0.9941520467836257, 'recall': 1.0, 'f1': 0.9970674486803519, 'number': 170}
Nvoicetotal: {'precision': 0.9946808510638298, 'recall': 0.9946808510638298, 'f1': 0.9946808510638298, 'number': 188}
Otaltax: {'precision': 1.0, 'recall': 0.9927007299270073, 'f1': 0.9963369963369962, 'number': 137}
Uantity: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 167}
Ubtotal: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 151}
Overall Precision: 0.9988
Overall Recall: 0.9982
Overall F1: 0.9985
Overall Accuracy: 0.9994

Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Endorname	Escription	Illingaddress	Mount	Nitprice	Nvoicedate	Nvoicetotal	Otaltax	Uantity	Ubtotal	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.1736	21.74	500	0.0031	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 177}	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 183}	{'precision': 1.0, 'recall': 0.9937888198757764, 'f1': 0.9968847352024921, 'number': 161}	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 175}	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 156}	{'precision': 0.9941520467836257, 'recall': 1.0, 'f1': 0.9970674486803519, 'number': 170}	{'precision': 0.9946808510638298, 'recall': 0.9946808510638298, 'f1': 0.9946808510638298, 'number': 188}	{'precision': 1.0, 'recall': 0.9927007299270073, 'f1': 0.9963369963369962, 'number': 137}	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 167}	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 151}	0.9988	0.9982	0.9985	0.9994