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HueyNemud/
icdar23-entrydetector_plaintext

Name: icdar23-entrydetector_plaintext
Availability: InStock

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icdar23-entrydetector_plaintext

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: 0.0424
Ebegin: {'precision': 0.9725125822686799, 'recall': 0.9447160586686725, 'f1': 0.9584128195345288, 'number': 2659}
Eend: {'precision': 0.9570211189329382, 'recall': 0.9652466367713004, 'f1': 0.9611162790697675, 'number': 2676}
Overall Precision: 0.9646
Overall Recall: 0.9550
Overall F1: 0.9598
Overall Accuracy: 0.9923

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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	0.0487	0.9874	0.9565	0.9717	0.9943
0.1698	0.14	600	0.0310	0.9891	0.9709	0.9799	0.9959
0.1698	0.21	900	0.0267	0.9746	0.9764	0.9755	0.9953
0.0346	0.29	1200	0.0217	0.9885	0.9685	0.9784	0.9956
0.0237	0.36	1500	0.0201	0.9866	0.9742	0.9804	0.9960
0.0237	0.43	1800	0.0268	0.9883	0.9561	0.9719	0.9944
0.0205	0.5	2100	0.0216	0.9823	0.9779	0.9801	0.9959
0.0205	0.57	2400	0.0236	0.9874	0.9700	0.9787	0.9957
0.0196	0.64	2700	0.0246	0.9877	0.9668	0.9772	0.9954
0.0195	0.72	3000	0.0254	0.9789	0.9682	0.9735	0.9950