Saed2023
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layoutlmv3-finetuned-cord_100

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Saed2023 commited on Jun 7, 2023

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update model card README.md

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@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0135
 - Precision: 0.5641
 - Recall: 0.2953
 - F1: 0.3877
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 3.33  | 50   | 0.0135          | 0.5641    | 0.2953 | 0.3877 | 0.9962   |
-| No log        | 6.67  | 100  | 0.0135          | 0.5641    | 0.2953 | 0.3877 | 0.9962   |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0161
 - Precision: 0.5641
 - Recall: 0.2953
 - F1: 0.3877
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 3.33  | 50   | 0.0275          | 0.5641    | 0.2953 | 0.3877 | 0.9962   |
+| No log        | 6.67  | 100  | 0.0161          | 0.5641    | 0.2953 | 0.3877 | 0.9962   |
 ### Framework versions