update model card README.md

README.md

@@ -3,10 +3,37 @@ license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
 datasets:
-- pasha
+- nielsr/funsd-layoutlmv3
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: pasha
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: nielsr/funsd-layoutlmv3
+      type: nielsr/funsd-layoutlmv3
+      config: pasha
+      split: test
+      args: pasha
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.879144385026738
+    - name: Recall
+      type: recall
+      value: 0.888328530259366
+    - name: F1
+      type: f1
+      value: 0.8837125963089052
+    - name: Accuracy
+      type: accuracy
+      value: 0.909112825458052
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +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: 0.6462
+- Precision: 0.8791
+- Recall: 0.8883
+- F1: 0.8837
+- Accuracy: 0.9091
 
 ## Model description