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update model card README.md

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@@ -4,9 +4,36 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - generated
 
 
 
 
 
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  model-index:
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  - name: layoutlmv3-finetuned-invoice
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +42,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # layoutlmv3-finetuned-invoice
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  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the generated dataset.
 
 
 
 
 
 
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  ## Model description
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  - generated_from_trainer
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  datasets:
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  - generated
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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  model-index:
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  - name: layoutlmv3-finetuned-invoice
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: generated
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+ type: generated
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+ config: sroie
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+ split: test
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+ args: sroie
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+ metrics:
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+ - name: Precision
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+ type: precision
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+ value: 0.0
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+ - name: Recall
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+ type: recall
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+ value: 0.0
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+ - name: F1
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+ type: f1
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+ value: 0.0
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8750789972614282
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # layoutlmv3-finetuned-invoice
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  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the generated dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0744
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+ - Precision: 0.0
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+ - Recall: 0.0
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+ - F1: 0.0
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+ - Accuracy: 0.8751
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  ## Model description
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