update model card README.md

README.md

@@ -19,11 +19,11 @@ 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: 0.0279
-- Precision: 0.7576
-- Recall: 0.5102
-- F1: 0.6098
-- Accuracy: 0.9920
+- Loss: 0.0308
+- Precision: 0.7213
+- Recall: 0.4490
+- F1: 0.5535
+- Accuracy: 0.9915
 
 ## Model description
 
@@ -54,13 +54,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 3.33  | 50   | 0.0420          | 0.7273    | 0.4082 | 0.5229 | 0.9909   |
-| No log        | 6.67  | 100  | 0.0279          | 0.7576    | 0.5102 | 0.6098 | 0.9920   |
+| No log        | 3.33  | 50   | 0.0449          | 0.7547    | 0.4082 | 0.5298 | 0.9915   |
+| No log        | 6.67  | 100  | 0.0308          | 0.7213    | 0.4490 | 0.5535 | 0.9915   |
 
 
 ### Framework versions
 
-- Transformers 4.29.2
+- Transformers 4.28.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3