Loss: 0.1187
Hard: {'precision': 0.7063339731285988, 'recall': 0.8070175438596491, 'f1': 0.7533265097236438, 'number': 456}
Soft: {'precision': 0.7111111111111111, 'recall': 0.7804878048780488, 'f1': 0.7441860465116279, 'number': 82}
Overall Precision: 0.7070
Overall Recall: 0.8030
Overall F1: 0.7520
Overall Accuracy: 0.9644

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	Hard	Soft	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
No log	1.0	178	0.1433	{'precision': 0.5503355704697986, 'recall': 0.7192982456140351, 'f1': 0.6235741444866921, 'number': 456}	{'precision': 0.5137614678899083, 'recall': 0.6829268292682927, 'f1': 0.5863874345549738, 'number': 82}	0.5447	0.7138	0.6179	0.9448
No log	2.0	356	0.1181	{'precision': 0.7031578947368421, 'recall': 0.7324561403508771, 'f1': 0.7175080558539205, 'number': 456}	{'precision': 0.6585365853658537, 'recall': 0.6585365853658537, 'f1': 0.6585365853658537, 'number': 82}	0.6966	0.7212	0.7087	0.9544
0.1645	3.0	534	0.1079	{'precision': 0.6605839416058394, 'recall': 0.793859649122807, 'f1': 0.7211155378486056, 'number': 456}	{'precision': 0.6966292134831461, 'recall': 0.7560975609756098, 'f1': 0.7251461988304092, 'number': 82}	0.6656	0.7881	0.7217	0.9603
0.1645	4.0	712	0.1146	{'precision': 0.7030651340996169, 'recall': 0.8048245614035088, 'f1': 0.7505112474437627, 'number': 456}	{'precision': 0.6739130434782609, 'recall': 0.7560975609756098, 'f1': 0.7126436781609194, 'number': 82}	0.6987	0.7974	0.7448	0.9621
0.1645	5.0	890	0.1187	{'precision': 0.7063339731285988, 'recall': 0.8070175438596491, 'f1': 0.7533265097236438, 'number': 456}	{'precision': 0.7111111111111111, 'recall': 0.7804878048780488, 'f1': 0.7441860465116279, 'number': 82}	0.7070	0.8030	0.7520	0.9644