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MangeshWasu/
layoutlm-funsd

Name: layoutlm-funsd
Availability: InStock

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layoutlm-funsd

This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the funsd dataset. It achieves the following results on the evaluation set:

Loss: 1.6482
Answer: {'precision': 0.014705882352941176, 'recall': 0.021013597033374538, 'f1': 0.017302798982188297, 'number': 809}
Header: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}
Question: {'precision': 0.12369791666666667, 'recall': 0.0892018779342723, 'f1': 0.10365521003818877, 'number': 1065}
Overall Precision: 0.0582
Overall Recall: 0.0562
Overall F1: 0.0572
Overall Accuracy: 0.3618

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Answer	Header	Question	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
1.8182	1.0	10	1.6482	{'precision': 0.014705882352941176, 'recall': 0.021013597033374538, 'f1': 0.017302798982188297, 'number': 809}	{'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}	{'precision': 0.12369791666666667, 'recall': 0.0892018779342723, 'f1': 0.10365521003818877, 'number': 1065}	0.0582	0.0562	0.0572	0.3618