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update model card README.md

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  ---
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  license: apache-2.0
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - glue
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8529411764705882
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  - name: F1
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  type: f1
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- value: 0.8961937716262977
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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
@@ -33,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # platzi-distilroberta-base-mrpc-glue-jose-alcocer
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- This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7159
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- - Accuracy: 0.8529
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- - F1: 0.8962
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  ## Model description
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  ---
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  license: apache-2.0
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  tags:
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+ - text-classification
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  - generated_from_trainer
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  datasets:
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  - glue
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8259803921568627
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  - name: F1
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  type: f1
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+ value: 0.875219683655536
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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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  # platzi-distilroberta-base-mrpc-glue-jose-alcocer
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+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5314
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+ - Accuracy: 0.8260
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+ - F1: 0.8752
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  ## Model description
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