HueyNemud
/

icdar23-entrydetector_plaintext

@@ -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: 0.0319
-- Ebegin: {'precision': 0.9928057553956835, 'recall': 0.9341857841293719, 'f1': 0.9626041464832397, 'number': 2659}
-- Eend: {'precision': 0.9772727272727273, 'recall': 0.9641255605381166, 'f1': 0.9706546275395034, 'number': 2676}
-- Overall Precision: 0.9848
-- Overall Recall: 0.9492
-- Overall F1: 0.9667
-- Overall Accuracy: 0.9936
 ## Model description
@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 0.07  | 300  | 0.0422          | 0.9698    | 0.9675 | 0.9686 | 0.9945   |
-| 0.2178        | 0.14  | 600  | 0.0249          | 0.9900    | 0.9637 | 0.9767 | 0.9952   |
-| 0.2178        | 0.21  | 900  | 0.0236          | 0.9859    | 0.9721 | 0.9790 | 0.9957   |
-| 0.0267        | 0.29  | 1200 | 0.0187          | 0.9908    | 0.9711 | 0.9808 | 0.9961   |
-| 0.0209        | 0.36  | 1500 | 0.0191          | 0.9869    | 0.9727 | 0.9798 | 0.9959   |
-| 0.0209        | 0.43  | 1800 | 0.0199          | 0.9886    | 0.9712 | 0.9798 | 0.9959   |
-| 0.0167        | 0.5   | 2100 | 0.0178          | 0.9912    | 0.9715 | 0.9813 | 0.9962   |
-| 0.0167        | 0.57  | 2400 | 0.0176          | 0.9937    | 0.9595 | 0.9763 | 0.9952   |
-| 0.0147        | 0.64  | 2700 | 0.0213          | 0.9869    | 0.9692 | 0.9779 | 0.9955   |
-| 0.0142        | 0.72  | 3000 | 0.0181          | 0.9854    | 0.9767 | 0.9810 | 0.9962   |
-| 0.0142        | 0.79  | 3300 | 0.0222          | 0.9865    | 0.9744 | 0.9804 | 0.9960   |
-| 0.0121        | 0.86  | 3600 | 0.0190          | 0.9855    | 0.9770 | 0.9813 | 0.9962   |
 ### 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: 0.0337
+- Ebegin: {'precision': 0.9737045630317092, 'recall': 0.9469725460699511, 'f1': 0.9601525262154433, 'number': 2659}
+- Eend: {'precision': 0.9644312708410523, 'recall': 0.9727204783258595, 'f1': 0.9685581395348838, 'number': 2676}
+- Overall Precision: 0.9690
+- Overall Recall: 0.9599
+- Overall F1: 0.9644
+- Overall Accuracy: 0.9931
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.07  | 300  | 0.0380          | 0.9713    | 0.9691 | 0.9702 | 0.9942   |
+| 0.1537        | 0.14  | 600  | 0.0318          | 0.9933    | 0.9550 | 0.9738 | 0.9947   |
+| 0.1537        | 0.21  | 900  | 0.0185          | 0.9842    | 0.9780 | 0.9811 | 0.9962   |
+| 0.0262        | 0.29  | 1200 | 0.0176          | 0.9883    | 0.9754 | 0.9818 | 0.9963   |
+| 0.0171        | 0.36  | 1500 | 0.0174          | 0.9915    | 0.9650 | 0.9781 | 0.9955   |
+| 0.0171        | 0.43  | 1800 | 0.0139          | 0.9869    | 0.9787 | 0.9828 | 0.9965   |
+| 0.0151        | 0.5   | 2100 | 0.0142          | 0.9845    | 0.9814 | 0.9830 | 0.9965   |
+| 0.0151        | 0.57  | 2400 | 0.0185          | 0.9894    | 0.9713 | 0.9803 | 0.9960   |
+| 0.0144        | 0.64  | 2700 | 0.0150          | 0.9864    | 0.9789 | 0.9827 | 0.9965   |
+| 0.0134        | 0.72  | 3000 | 0.0197          | 0.9848    | 0.9734 | 0.9791 | 0.9957   |
+| 0.0134        | 0.79  | 3300 | 0.0201          | 0.9809    | 0.9804 | 0.9806 | 0.9960   |
+| 0.012         | 0.86  | 3600 | 0.0163          | 0.9794    | 0.9832 | 0.9813 | 0.9961   |
 ### Framework versions