HueyNemud
/

icdar23-entrydetector_plaintext_breaks_indents_left_diff

@@ -13,13 +13,13 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0044
-- Ebegin: {'precision': 0.9842053307008884, 'recall': 0.9963357761492339, 'f1': 0.9902334050653865, 'number': 3002}
-- Eend: {'precision': 0.9874421678783873, 'recall': 0.996, 'f1': 0.9917026219714571, 'number': 3000}
-- Overall Precision: 0.9858
-- Overall Recall: 0.9962
-- Overall F1: 0.9910
-- Overall Accuracy: 0.9985
 ## Model description
@@ -50,17 +50,15 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 0.07  | 300  | 0.0291          | 0.9703    | 0.9911 | 0.9806 | 0.9967   |
-| 0.1606        | 0.14  | 600  | 0.0131          | 0.9789    | 0.9905 | 0.9847 | 0.9973   |
-| 0.1606        | 0.21  | 900  | 0.0122          | 0.9840    | 0.9900 | 0.9870 | 0.9977   |
-| 0.0176        | 0.29  | 1200 | 0.0080          | 0.9861    | 0.9937 | 0.9899 | 0.9982   |
-| 0.0121        | 0.36  | 1500 | 0.0110          | 0.9765    | 0.9926 | 0.9845 | 0.9973   |
-| 0.0121        | 0.43  | 1800 | 0.0064          | 0.9911    | 0.9864 | 0.9888 | 0.9980   |
-| 0.0107        | 0.5   | 2100 | 0.0054          | 0.9867    | 0.9966 | 0.9916 | 0.9985   |
-| 0.0107        | 0.57  | 2400 | 0.0062          | 0.9928    | 0.9892 | 0.9910 | 0.9984   |
-| 0.0061        | 0.64  | 2700 | 0.0055          | 0.9985    | 0.9793 | 0.9888 | 0.9980   |
-| 0.0068        | 0.72  | 3000 | 0.0052          | 0.9895    | 0.9931 | 0.9913 | 0.9985   |
-| 0.0068        | 0.79  | 3300 | 0.0062          | 0.9853    | 0.9960 | 0.9906 | 0.9983   |
 ### Framework versions

 This model is a fine-tuned version of [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0091
+- Ebegin: {'precision': 0.9909729187562688, 'recall': 0.9873417721518988, 'f1': 0.9891540130151844, 'number': 3002}
+- Eend: {'precision': 0.986648865153538, 'recall': 0.9853333333333333, 'f1': 0.9859906604402935, 'number': 3000}
+- Overall Precision: 0.9888
+- Overall Recall: 0.9863
+- Overall F1: 0.9876
+- Overall Accuracy: 0.9979
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.07  | 300  | 0.0315          | 0.9611    | 0.9872 | 0.9740 | 0.9956   |
+| 0.1635        | 0.14  | 600  | 0.0130          | 0.9850    | 0.9908 | 0.9879 | 0.9979   |
+| 0.1635        | 0.21  | 900  | 0.0096          | 0.9818    | 0.9951 | 0.9884 | 0.9979   |
+| 0.0194        | 0.29  | 1200 | 0.0074          | 0.9888    | 0.9908 | 0.9898 | 0.9982   |
+| 0.0107        | 0.36  | 1500 | 0.0062          | 0.9885    | 0.9943 | 0.9914 | 0.9984   |
+| 0.0107        | 0.43  | 1800 | 0.0082          | 0.9928    | 0.9870 | 0.9899 | 0.9982   |
+| 0.0078        | 0.5   | 2100 | 0.0060          | 0.9860    | 0.9948 | 0.9904 | 0.9983   |
+| 0.0078        | 0.57  | 2400 | 0.0064          | 0.9865    | 0.9941 | 0.9903 | 0.9983   |
+| 0.0061        | 0.64  | 2700 | 0.0055          | 0.9938    | 0.9876 | 0.9907 | 0.9983   |
 ### Framework versions