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: 0.0127
-- Precision: 0.5875
-- Recall: 0.3154
-- F1: 0.4105
-- Accuracy: 0.9963
+- Loss: 1.2420
+- Precision: 0.6213
+- Recall: 0.5623
+- F1: 0.5903
+- Accuracy: 0.7007
 
 ## 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   | 0.0240          | 0.5641    | 0.2953 | 0.3877 | 0.9962   |
-| No log        | 6.67  | 100  | 0.0127          | 0.5875    | 0.3154 | 0.4105 | 0.9963   |
+| No log        | 0.17  | 50   | 1.4080          | 0.4705    | 0.3896 | 0.4263 | 0.5942   |
+| No log        | 0.35  | 100  | 1.2420          | 0.6213    | 0.5623 | 0.5903 | 0.7007   |
 
 
 ### Framework versions
 
-- Transformers 4.29.2
+- Transformers 4.30.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3