End of training

README.md

@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base) on the funsd-layoutlmv3 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8546
-- Answer: {'precision': 0.0327455919395466, 'recall': 0.06364749082007344, 'f1': 0.04324324324324324, 'number': 817}
+- Loss: 1.8428
+- Answer: {'precision': 0.047225501770956316, 'recall': 0.09791921664626684, 'f1': 0.06371963361210674, 'number': 817}
 - Header: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}
-- Question: {'precision': 0.061769005847953216, 'recall': 0.15691736304549675, 'f1': 0.08864411224757408, 'number': 1077}
-- Overall Precision: 0.0511
-- Overall Recall: 0.1098
-- Overall F1: 0.0697
-- Overall Accuracy: 0.2522
+- Question: {'precision': 0.08554412560909583, 'recall': 0.2934076137418756, 'f1': 0.13246698805281912, 'number': 1077}
+- Overall Precision: 0.0730
+- Overall Recall: 0.1967
+- Overall F1: 0.1065
+- Overall Accuracy: 0.2652
 
 ## Model description
 

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