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Update README.md

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@@ -52,26 +52,6 @@ model-index:
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  - name: Recall
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  type: recall
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  value: 0.8955997285576146
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- - task:
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- name: Natural Language Inference
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- type: text-classification
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- dataset:
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- name: e-SNLI
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- type: esnli
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- split: train
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9428232857088249
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- - name: F1
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- type: f1
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- value: 0.9427238488455546
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- - name: Precision
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- type: precision
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- value: 0.9427589040743564
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- - name: Recall
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- type: recall
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- value: 0.942796523745599
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  pipeline_tag: text-classification
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  tags:
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  - Natural Language Inference
@@ -91,7 +71,6 @@ Results:
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  - CrossEntropyLoss: 0.3277
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  - Accuracy: 0.8958
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  - F1: 0.8955
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-
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  ### Model Description
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  - **Developed by:** [Erfan Moosavi Monazzah](https://huggingface.co/ErfanMoosaviMonazzah)
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  - **Model type:** Sequence Classifier
 
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  - name: Recall
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  type: recall
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  value: 0.8955997285576146
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pipeline_tag: text-classification
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  tags:
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  - Natural Language Inference
 
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  - CrossEntropyLoss: 0.3277
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  - Accuracy: 0.8958
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  - F1: 0.8955
 
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  ### Model Description
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  - **Developed by:** [Erfan Moosavi Monazzah](https://huggingface.co/ErfanMoosaviMonazzah)
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  - **Model type:** Sequence Classifier