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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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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: roberta-base-finetuned-MRPC
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: glue
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+ type: glue
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+ args: mrpc
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8970588235294118
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+ - name: F1
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+ type: f1
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+ value: 0.9239130434782609
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # roberta-base-finetuned-mrpc
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Accuracy: 0.8971
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+ - F1: 0.9239
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - weight_decay: 0.05
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+ - num_epochs: 4