update model card README.md

README.md

@@ -3,37 +3,10 @@ license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
 datasets:
-- nielsr/funsd-layoutlmv3
-metrics:
-- precision
-- recall
-- f1
-- accuracy
+- pasha
 model-index:
 - name: pasha
-  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: 0.8787771062922147
-    - name: Recall
-      type: recall
-      value: 0.8904899135446686
-    - name: F1
-      type: f1
-      value: 0.8845947396672033
-    - name: Accuracy
-      type: accuracy
-      value: 0.9093539054966249
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,13 +14,7 @@ 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 nielsr/funsd-layoutlmv3 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6479
-- Precision: 0.8788
-- Recall: 0.8905
-- F1: 0.8846
-- Accuracy: 0.9094
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the pasha dataset.
 
 ## Model description
 
@@ -78,7 +45,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 2.13  | 100  | 0.6479          | 0.8788    | 0.8905 | 0.8846 | 0.9094   |
+| No log        | 2.13  | 100  | 0.6479          | 0.8791    | 0.8909 | 0.8850 | 0.9096   |
 
 
 ### Framework versions