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HueyNemud/
icdar23-entrydetector_plaintext_breaks

Name: icdar23-entrydetector_plaintext_breaks
Availability: InStock

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icdar23-entrydetector_plaintext_breaks

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: 0.0120
Ebegin: {'precision': 0.9901997738409348, 'recall': 0.9879654005265137, 'f1': 0.9890813253012049, 'number': 2659}
Eend: {'precision': 0.9916824196597354, 'recall': 0.9801943198804185, 'f1': 0.9859049050930276, 'number': 2676}
Overall Precision: 0.9909
Overall Recall: 0.9841
Overall F1: 0.9875
Overall Accuracy: 0.9977

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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	0.0318	0.9847	0.9761	0.9803	0.9966
0.1683	0.14	600	0.0164	0.9878	0.9890	0.9884	0.9978
0.1683	0.21	900	0.0146	0.9900	0.9853	0.9876	0.9976
0.0203	0.29	1200	0.0112	0.9862	0.9902	0.9882	0.9978
0.0123	0.36	1500	0.0089	0.9943	0.9878	0.9910	0.9983
0.0123	0.43	1800	0.0139	0.9970	0.9814	0.9891	0.9979
0.0109	0.5	2100	0.0101	0.9937	0.9882	0.9909	0.9982
0.0109	0.57	2400	0.0087	0.9949	0.9896	0.9922	0.9985
0.0092	0.64	2700	0.0081	0.9849	0.9919	0.9884	0.9978
0.0084	0.72	3000	0.0087	0.9937	0.9867	0.9902	0.9981
0.0084	0.79	3300	0.0089	0.9915	0.9889	0.9902	0.9981
0.0069	0.86	3600	0.0092	0.9899	0.9901	0.9900	0.9981
0.0069	0.93	3900	0.0097	0.9845	0.9915	0.9880	0.9977