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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5739
-- Answer: {'precision': 0.8710433763188745, 'recall': 0.9094247246022031, 'f1': 0.8898203592814371, 'number': 817}
-- Header: {'precision': 0.6336633663366337, 'recall': 0.5378151260504201, 'f1': 0.5818181818181819, 'number': 119}
-- Question: {'precision': 0.8975521305530372, 'recall': 0.9192200557103064, 'f1': 0.9082568807339448, 'number': 1077}
-- Overall Precision: 0.8736
-- Overall Recall: 0.8927
-- Overall F1: 0.8830
-- Overall Accuracy: 0.8177
+- Loss: 1.5924
+- Answer: {'precision': 0.8748538011695907, 'recall': 0.9155446756425949, 'f1': 0.8947368421052633, 'number': 817}
+- Header: {'precision': 0.64, 'recall': 0.5378151260504201, 'f1': 0.5844748858447488, 'number': 119}
+- Question: {'precision': 0.8945487042001787, 'recall': 0.9294336118848654, 'f1': 0.9116575591985429, 'number': 1077}
+- Overall Precision: 0.8742
+- Overall Recall: 0.9006
+- Overall F1: 0.8872
+- Overall Accuracy: 0.8193
 
 ## Model description
 

logs/events.out.tfevents.1737084820.PC2031.22320.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad1e8270d0dbc37d0f751dbdedb420d48af48793b24f01d88d5b8b13dbc7b19c
+size 592

tokenizer_config.json

@@ -43,7 +43,7 @@
     }
   },
   "bos_token": "<s>",
-  "clean_up_tokenization_spaces": true,
+  "clean_up_tokenization_spaces": false,
   "cls_token": "<s>",
   "cls_token_box": [
     0,
@@ -53,6 +53,7 @@
   ],
   "eos_token": "</s>",
   "errors": "replace",
+  "extra_special_tokens": {},
   "mask_token": "<mask>",
   "model_max_length": 512,
   "only_label_first_subword": true,