update model card README.md

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 1.0
+      value: 0.972
     - name: Recall
       type: recall
-      value: 1.0
+      value: 0.9858012170385395
     - name: F1
       type: f1
-      value: 1.0
+      value: 0.9788519637462235
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.9970507689066779
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ 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 generated dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0041
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.0116
+- Precision: 0.972
+- Recall: 0.9858
+- F1: 0.9789
+- Accuracy: 0.9971
 
 ## Model description
 
@@ -73,22 +73,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 1000
+- training_steps: 875
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 2.0   | 100  | 0.0910          | 0.9       | 0.9128 | 0.9063 | 0.9895   |
-| No log        | 4.0   | 200  | 0.0247          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| No log        | 2.0   | 100  | 0.0898          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| No log        | 4.0   | 200  | 0.0251          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
 | No log        | 6.0   | 300  | 0.0176          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
-| No log        | 8.0   | 400  | 0.0156          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
-| 0.1327        | 10.0  | 500  | 0.0143          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
-| 0.1327        | 12.0  | 600  | 0.0130          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
-| 0.1327        | 14.0  | 700  | 0.0112          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
-| 0.1327        | 16.0  | 800  | 0.0093          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
-| 0.1327        | 18.0  | 900  | 0.0047          | 0.9980    | 0.9980 | 0.9980 | 0.9998   |
-| 0.0113        | 20.0  | 1000 | 0.0041          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 8.0   | 400  | 0.0148          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| 0.1241        | 10.0  | 500  | 0.0116          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| 0.1241        | 12.0  | 600  | 0.0072          | 0.9919    | 0.9959 | 0.9939 | 0.9992   |
+| 0.1241        | 14.0  | 700  | 0.0059          | 0.9960    | 0.9980 | 0.9970 | 0.9996   |
+| 0.1241        | 16.0  | 800  | 0.0044          | 0.9980    | 0.9980 | 0.9980 | 0.9998   |
 
 
 ### Framework versions