update model card README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
 datasets:
-- pasha
+- nielsr/funsd-layoutlmv3
 metrics:
 - precision
 - recall
@@ -16,24 +16,24 @@ model-index:
       name: Token Classification
       type: token-classification
     dataset:
-      name: pasha
-      type: pasha
+      name: nielsr/funsd-layoutlmv3
+      type: nielsr/funsd-layoutlmv3
       config: pasha
       split: test
       args: pasha
     metrics:
     - name: Precision
       type: precision
-      value: 0.984930032292788
+      value: 0.986704994610133
     - name: Recall
       type: recall
-      value: 0.9888328530259366
+      value: 0.989193083573487
     - name: F1
       type: f1
-      value: 0.9868775840373899
+      value: 0.9879474725670084
     - name: Accuracy
       type: accuracy
-      value: 0.990115718418515
+      value: 0.9905978784956606
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,13 +41,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # pasha
 
-This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the pasha dataset.
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the nielsr/funsd-layoutlmv3 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0571
-- Precision: 0.9849
-- Recall: 0.9888
-- F1: 0.9869
-- Accuracy: 0.9901
+- Loss: 0.0585
+- Precision: 0.9867
+- Recall: 0.9892
+- F1: 0.9879
+- Accuracy: 0.9906
 
 ## Model description