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: 1.6142
-- Answer: {'precision': 0.8502857142857143, 'recall': 0.9106487148102815, 'f1': 0.8794326241134752, 'number': 817}
-- Header: {'precision': 0.638095238095238, 'recall': 0.5630252100840336, 'f1': 0.5982142857142857, 'number': 119}
-- Question: {'precision': 0.9045871559633027, 'recall': 0.9155060352831941, 'f1': 0.9100138440239963, 'number': 1077}
-- Overall Precision: 0.8681
-- Overall Recall: 0.8927
-- Overall F1: 0.8802
-- Overall Accuracy: 0.8247
+- Loss: 1.5759
+- Answer: {'precision': 0.8616780045351474, 'recall': 0.9302325581395349, 'f1': 0.8946439081812831, 'number': 817}
+- Header: {'precision': 0.6804123711340206, 'recall': 0.5546218487394958, 'f1': 0.6111111111111112, 'number': 119}
+- Question: {'precision': 0.9055404178019982, 'recall': 0.9257195914577531, 'f1': 0.9155188246097338, 'number': 1077}
+- Overall Precision: 0.8764
+- Overall Recall: 0.9056
+- Overall F1: 0.8908
+- Overall Accuracy: 0.8294
 
 ## Model description
 

logs/events.out.tfevents.1728472707.PC2031.28612.1

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