readme: ---
  language:
  - en
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - accuracy
  - f1
  model-index:
  - name: roberta-base-mrpc
    results:
    - task:
        type: text-classification
        name: Text Classification
      dataset:
        name: GLUE MRPC
        type: glue
        args: mrpc
      metrics:
      - type: accuracy
        value: 0.9019607843137255
        name: Accuracy
      - type: f1
        value: 0.9295774647887324
        name: F1
    - task:
        type: natural-language-inference
        name: Natural Language Inference
      dataset:
        name: glue
        type: glue
        config: mrpc
        split: validation
      metrics:
      - type: accuracy
        value: 0.9019607843137255
        name: Accuracy
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTgxMmY3ZTkyZmYyZTJhZjQzNzkxYWRhMzRkNjQ4MDU3NmRhNzJmNDUwMmI5NWQyYTQ1ODRmMGVhOGI3NzMxZCIsInZlcnNpb24iOjF9.E6AhJwh_S4LfzhJjvlUzGWDmJYzxwbzL0IKqIIiNhFGg-_N5G9_VJAgqiQz-6i9xGHB2fJM-G5XinjHRk4SeBA
      - type: precision
        value: 0.9134948096885813
        name: Precision
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2NmZThjNDI0YThmMzE4MjdhNjM3OTFmYzAwNzY4ZTM4ZDc4ZDA3NTYzYWRhNTdlNWMyZWI1NTMwZmFhNzQ5NyIsInZlcnNpb24iOjF9.nOkbqzXVD3r9LrIePn7o9Ny8_GiPoSBskCx3ey3Hrexrx00Gj6B9wkVvc8EcV5bAsBTeAJSeqO7ncS_-WJjlCQ
      - type: recall
        value: 0.946236559139785
        name: Recall
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzA2NDgzYTkzMTY4ZDQxYTdlZmM2ODY4YzM4N2E0ODk0YzRkNDI3YTFhMGIwNDZhNTI0MmIyNGU0YmFlMzRjYyIsInZlcnNpb24iOjF9.jNL0IQk6XnUd6zFfHwTSL41Ax35OdoE8xQA-2PqEFs9UtT2O9fo6cZyXDln6QPMGHOlwNgPp_PX6mLrmDHN6Cw
      - type: auc
        value: 0.9536411880747964
        name: AUC
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmE0ZWZlNGFkMzdhNTdjZjY0NDkzNDZhOTJmY2Q1MWU4MTc3NGMwYmRjNTlkMTZjOTBiNjIwOTUzZWZhZTcwNSIsInZlcnNpb24iOjF9.ZVekwshvwAi8K6gYJmKEDk8riyiOqDhsfzbSxXa-AWKvREksbNtsDo_u6iOEYImGLbcEFfgesDE-cBnEsmMdAg
      - type: f1
        value: 0.9295774647887324
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQwMmE1Y2FhMGE4M2Q5YjU3NTAyZTljZWQ5ODRkMGEyZmI4M2FhNDJjYjlkMzllMzU5NDQ1ZWI2YjNiNmM0OCIsInZlcnNpb24iOjF9.a2jDnaSZhCJ_3f1rBJ8mXfyLCRR6Y9tYb_Hayi00NPWrejDML8Bc-LoobxlPdbd8x8LVJ2vOWhbH5LP4J9kOBg
      - type: loss
        value: 0.48942330479621887
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODFkMWQ5NTQ0ODMwNjQ2MzcyODA1ODlhZGUzNTg4NjE2M2U5MmIzYjQ3NzgxNTQyZDkyMGNiM2ZhYzc4ZGY0MSIsInZlcnNpb24iOjF9.K6fAIi21ZNtOqKS5c9jlO7kXISNHb0DD4pzdgLsESVjjOYxqS4C9f_OBJjIV-KtuwQGbi3yNC5Y4jTWk2HvNCQ
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # mrpc
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE MRPC dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4898
  - Accuracy: 0.9020
  - F1: 0.9296
  - Combined Score: 0.9158
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.06
  - num_epochs: 5.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  