update model card README.md

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.725
+      value: 0.717948717948718
     - name: Recall
       type: recall
-      value: 0.7631578947368421
+      value: 0.7368421052631579
     - name: F1
       type: f1
-      value: 0.7435897435897436
+      value: 0.7272727272727273
     - name: Accuracy
       type: accuracy
-      value: 0.7407407407407407
+      value: 0.7333333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ 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 cord-layoutlmv3 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9129
-- Precision: 0.725
-- Recall: 0.7632
-- F1: 0.7436
-- Accuracy: 0.7407
+- Loss: 1.8321
+- Precision: 0.7179
+- Recall: 0.7368
+- F1: 0.7273
+- Accuracy: 0.7333
 
 ## Model description
 
@@ -78,16 +78,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 125.0  | 250  | 1.2365          | 0.7195    | 0.7763 | 0.7468 | 0.7556   |
-| 0.8612        | 250.0  | 500  | 1.4859          | 0.7375    | 0.7763 | 0.7564 | 0.7481   |
-| 0.8612        | 375.0  | 750  | 1.6108          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0297        | 500.0  | 1000 | 1.7046          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0297        | 625.0  | 1250 | 1.7805          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0134        | 750.0  | 1500 | 1.8187          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0134        | 875.0  | 1750 | 1.8624          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0089        | 1000.0 | 2000 | 1.8866          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0089        | 1125.0 | 2250 | 1.9056          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
-| 0.0073        | 1250.0 | 2500 | 1.9129          | 0.725     | 0.7632 | 0.7436 | 0.7407   |
+| No log        | 125.0  | 250  | 1.2027          | 0.7564    | 0.7763 | 0.7662 | 0.7481   |
+| 0.8449        | 250.0  | 500  | 1.3990          | 0.7089    | 0.7368 | 0.7226 | 0.7333   |
+| 0.8449        | 375.0  | 750  | 1.5343          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
+| 0.0296        | 500.0  | 1000 | 1.6144          | 0.75      | 0.75   | 0.75   | 0.7407   |
+| 0.0296        | 625.0  | 1250 | 1.6898          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
+| 0.0134        | 750.0  | 1500 | 1.7402          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
+| 0.0134        | 875.0  | 1750 | 1.7888          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
+| 0.0089        | 1000.0 | 2000 | 1.8041          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
+| 0.0089        | 1125.0 | 2250 | 1.8209          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
+| 0.0073        | 1250.0 | 2500 | 1.8321          | 0.7179    | 0.7368 | 0.7273 | 0.7333   |
 
 
 ### Framework versions