End of training

README.md

@@ -15,14 +15,14 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8743
-- Answer: {'precision': 0.8584579976985041, 'recall': 0.9130966952264382, 'f1': 0.8849347568208777, 'number': 817}
-- Header: {'precision': 0.6363636363636364, 'recall': 0.5294117647058824, 'f1': 0.5779816513761468, 'number': 119}
-- Question: {'precision': 0.8976014760147601, 'recall': 0.903435468895079, 'f1': 0.9005090236001851, 'number': 1077}
-- Overall Precision: 0.8684
-- Overall Recall: 0.8852
-- Overall F1: 0.8768
-- Overall Accuracy: 0.7961
+- Loss: 1.7425
+- Answer: {'precision': 0.8685446009389671, 'recall': 0.9057527539779682, 'f1': 0.8867585380467345, 'number': 817}
+- Header: {'precision': 0.6283185840707964, 'recall': 0.5966386554621849, 'f1': 0.6120689655172413, 'number': 119}
+- Question: {'precision': 0.8882931188561215, 'recall': 0.9229340761374187, 'f1': 0.9052823315118397, 'number': 1077}
+- Overall Precision: 0.8661
+- Overall Recall: 0.8967
+- Overall F1: 0.8811
+- Overall Accuracy: 0.7941
 
 ## Model description
 

logs/events.out.tfevents.1723797791.PC2031.21652.2

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