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: 0.9790
-- Answer: {'precision': 0.44588344125809437, 'recall': 0.5899632802937577, 'f1': 0.5079030558482612, 'number': 817}
-- Header: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}
-- Question: {'precision': 0.6358296622613803, 'recall': 0.8040854224698236, 'f1': 0.7101271012710128, 'number': 1077}
-- Overall Precision: 0.5484
-- Overall Recall: 0.6696
-- Overall F1: 0.6030
-- Overall Accuracy: 0.6457
+- Loss: 0.9402
+- Answer: {'precision': 0.4992163009404389, 'recall': 0.7796817625458996, 'f1': 0.608695652173913, 'number': 817}
+- Header: {'precision': 0.03125, 'recall': 0.008403361344537815, 'f1': 0.013245033112582781, 'number': 119}
+- Question: {'precision': 0.625, 'recall': 0.7753017641597029, 'f1': 0.692084542063821, 'number': 1077}
+- Overall Precision: 0.5571
+- Overall Recall: 0.7317
+- Overall F1: 0.6326
+- Overall Accuracy: 0.6359
 
 ## Model description
 

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tokenizer.json

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