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: 0.5027
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.6308
+- Precision: 0.8537
+- Recall: 0.7955
+- F1: 0.8235
+- Accuracy: 0.8730
 
 ## Model description
 
@@ -52,15 +52,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 7.14  | 50   | 0.8644          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 14.29 | 100  | 0.5027          | 1.0       | 1.0    | 1.0 | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 3.33  | 50   | 0.9264          | 0.7381    | 0.7045 | 0.7209 | 0.7937   |
+| No log        | 6.67  | 100  | 0.6308          | 0.8537    | 0.7955 | 0.8235 | 0.8730   |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.29.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3