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HueyNemud/
icdar23-entrydetector_plaintext_breaks_indents_left_diff_right_ref

Name: icdar23-entrydetector_plaintext_breaks_indents_left_diff_right_ref
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icdar23-entrydetector_plaintext_breaks_indents_left_diff_right_ref

This model is a fine-tuned version of HueyNemud/das22-10-camembert_pretrained on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0078
Ebegin: {'precision': 0.9920303605313093, 'recall': 0.9830763444904099, 'f1': 0.9875330562901399, 'number': 2659}
Eend: {'precision': 0.9958443520967133, 'recall': 0.9850523168908819, 'f1': 0.9904189366898367, 'number': 2676}
Overall Precision: 0.9939
Overall Recall: 0.9841
Overall F1: 0.9890
Overall Accuracy: 0.9982

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.07	300	0.0314	0.9572	0.9870	0.9719	0.9956
0.1574	0.14	600	0.0145	0.9897	0.9834	0.9866	0.9979
0.1574	0.21	900	0.0098	0.9896	0.9917	0.9907	0.9985
0.0161	0.29	1200	0.0079	0.9919	0.9921	0.9920	0.9987
0.0107	0.36	1500	0.0072	0.9895	0.9928	0.9911	0.9986
0.0107	0.43	1800	0.0116	0.9900	0.9877	0.9888	0.9981
0.0114	0.5	2100	0.0069	0.9965	0.9898	0.9931	0.9988
0.0114	0.57	2400	0.0055	0.9955	0.9907	0.9931	0.9989
0.0082	0.64	2700	0.0051	0.9870	0.9956	0.9913	0.9985
0.0062	0.72	3000	0.0046	0.9903	0.9957	0.9930	0.9988
0.0062	0.79	3300	0.0038	0.9957	0.9929	0.9943	0.9990
0.0051	0.86	3600	0.0038	0.9956	0.9943	0.9949	0.9992
0.0051	0.93	3900	0.0047	0.9902	0.9942	0.9921	0.9987
0.0041	1.0	4200	0.0035	0.9979	0.9917	0.9948	0.9991
0.0029	1.07	4500	0.0036	0.9973	0.9926	0.9949	0.9992
0.0029	1.14	4800	0.0038	0.9969	0.9916	0.9942	0.9990
0.0034	1.22	5100	0.0036	0.9953	0.9935	0.9944	0.9991