update model card README.md

README.md

@@ -1,4 +1,6 @@
 ---
+license: cc-by-nc-sa-4.0
+base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
 datasets:
@@ -23,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 1.0
+      value: 0.9939271255060729
     - name: Recall
       type: recall
-      value: 1.0
+      value: 0.9959432048681541
     - name: F1
       type: f1
-      value: 1.0
+      value: 0.9949341438703141
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.9993680219085739
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,13 +42,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # layoutlmv3-finetuned-invoice
 
-This model was trained from scratch on the generated dataset.
+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: 0.0000
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.0076
+- Precision: 0.9939
+- Recall: 0.9959
+- F1: 0.9949
+- Accuracy: 0.9994
 
 ## Model description
 
@@ -77,13 +79,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 2.0   | 100  | 0.0092          | 0.9959    | 0.9919 | 0.9939 | 0.9992   |
-| No log        | 4.0   | 200  | 0.0069          | 0.9959    | 0.9919 | 0.9939 | 0.9992   |
-| No log        | 6.0   | 300  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 8.0   | 400  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.0005        | 10.0  | 500  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.0005        | 12.0  | 600  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.0005        | 14.0  | 700  | 0.0000          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 2.0   | 100  | 0.1086          | 0.87      | 0.8824 | 0.8761 | 0.9863   |
+| No log        | 4.0   | 200  | 0.0258          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| No log        | 6.0   | 300  | 0.0172          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| No log        | 8.0   | 400  | 0.0126          | 0.972     | 0.9858 | 0.9789 | 0.9971   |
+| 0.1338        | 10.0  | 500  | 0.0076          | 0.9939    | 0.9959 | 0.9949 | 0.9994   |
+| 0.1338        | 12.0  | 600  | 0.0073          | 0.9919    | 0.9959 | 0.9939 | 0.9992   |
+| 0.1338        | 14.0  | 700  | 0.0048          | 0.9980    | 0.9980 | 0.9980 | 0.9998   |
 
 
 ### Framework versions