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: 1.7527
-- Answer: {'precision': 0.8525714285714285, 'recall': 0.9130966952264382, 'f1': 0.8817966903073285, 'number': 817}
-- Header: {'precision': 0.6237623762376238, 'recall': 0.5294117647058824, 'f1': 0.5727272727272728, 'number': 119}
-- Question: {'precision': 0.8963963963963963, 'recall': 0.9238625812441968, 'f1': 0.9099222679469592, 'number': 1077}
-- Overall Precision: 0.8648
-- Overall Recall: 0.8962
-- Overall F1: 0.8802
-- Overall Accuracy: 0.8057
+- Loss: 1.7584
+- Answer: {'precision': 0.8773364485981309, 'recall': 0.9192166462668299, 'f1': 0.8977884040645547, 'number': 817}
+- Header: {'precision': 0.6428571428571429, 'recall': 0.5294117647058824, 'f1': 0.5806451612903226, 'number': 119}
+- Question: {'precision': 0.9097605893186004, 'recall': 0.9173630454967502, 'f1': 0.9135460009246417, 'number': 1077}
+- Overall Precision: 0.8833
+- Overall Recall: 0.8952
+- Overall F1: 0.8892
+- Overall Accuracy: 0.8076
 
 ## Model description
 

logs/events.out.tfevents.1729236091.PC2031.504.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d614280e0976cfaadbf67edab704ad2355050a29fa144fe317aa4256fdde806a
+size 592