readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - accuracy
  - f1
  model-index:
  - name: bert-base-uncased-mrpc
    results:
    - task:
        type: text-classification
        name: Text Classification
      dataset:
        name: GLUE MRPC
        type: glue
        args: mrpc
      metrics:
      - type: accuracy
        value: 0.8578431372549019
        name: Accuracy
      - type: f1
        value: 0.9023569023569024
        name: F1
    - task:
        type: natural-language-inference
        name: Natural Language Inference
      dataset:
        name: glue
        type: glue
        config: mrpc
        split: validation
      metrics:
      - type: accuracy
        value: 0.8578431372549019
        name: Accuracy
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWViZGIwMDMxMjA0ZTMwMWY3ZWU4YzA4ZjNjOWMyM2I0NGE2ZDZkMjg3MDdiZDUwYjEzNjMwYzZiODBhMzBiYyIsInZlcnNpb24iOjF9.8xsat2msiKS4S7KplRkr9xaLWCwMSbUNEXxZ3FgFXfIB6DhXWLoDdoc5X6GNux2ipDEdgHjqI8FMzAJURaD0DQ
      - type: precision
        value: 0.8507936507936508
        name: Precision
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGE4ZTkyMzc1NTA4MjQxZGU4NjY5NmMyODI3ZWI0NGU4YWUzNmI3YzFhOTU0MDRkZWIzNzkxNTU0Y2ZhYTFmYiIsInZlcnNpb24iOjF9.f7odSB_ZEGkjTbewzM9SW7G5C324Hpuo6Z01uOr7OENrLPDC3z0OwgtoQmNj7pHVcU0fFp9FyRRiTowE6U4SAg
      - type: recall
        value: 0.9605734767025089
        name: Recall
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWVjYjhhNzJlYjdlMWI3Y2RmODkzZDQyYTBhMzdkY2NlNGE4OWM3YzY5MjBiZjMwNWY3ZmIwODk5ZDFkMjI4YSIsInZlcnNpb24iOjF9.yPZxpm9l7ctYxLEBuN0lOukQnT8ETLsBA4EzuqY5EJDuK6FZCqKeb1TKZ_qtthSQpI4n1366LzqSXeU8nZ3tBw
      - type: auc
        value: 0.8931260592926008
        name: AUC
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjkwN2RmOTlmZDRlZTQ3ZTE1NjBjNTQxMDNkOTExMzQ5MjkyNjY1ZDFjZmQ4MDE0NmZlNDBhMjQzMTRhN2IxZCIsInZlcnNpb24iOjF9.e_gccDrQXc6s8fASle5wnZWc02ihuqBdicoDvehQO79nt-YHdm1oK11llTiUULReIOxTsOmFKCattvztyqOUCQ
      - type: f1
        value: 0.9023569023569024
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWNiOTUyMzEzMTRkNzBmOTdiMTNhOGQ0NzgyZjFiNjc2NmE1Y2FlOWM0NzdmNGM5ZGNmZTUyMzljZGRiZjNhOSIsInZlcnNpb24iOjF9.rxUf2PMqTz3N-tvfIo6L19RKTzmIjYRoxm1BEzrzNX1w-FATF69X2WZlqjAyB2xhMrSikvmsh7QryYmZn-P6AA
      - type: loss
        value: 0.5572634935379028
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWIyMzZmMGYwMjEyMGFmOGRjNGE3YjQ5MmU5NGZjYmJjZGFiNTA4Mzk0MTAxNDQyYTk5YzE2OTA5YjlmODgzMCIsInZlcnNpb24iOjF9.bgoIjSqw70DaRXJ9LL3_dP33C0WPAZq5uMlencN-wOpjNes2v0VcCW1felmd_0JRwSbWI7v1eP2YYPiQg-a0AQ
  ---
  
  <!-- 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. -->
  
  # bert-base-uncased-mrpc
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5572
  - Accuracy: 0.8578
  - F1: 0.9024
  - Combined Score: 0.8801
  
  ## 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
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
  | No log        | 1.0   | 230  | 0.4111          | 0.8088   | 0.8704 | 0.8396         |
  | No log        | 2.0   | 460  | 0.3762          | 0.8480   | 0.8942 | 0.8711         |
  | 0.4287        | 3.0   | 690  | 0.5572          | 0.8578   | 0.9024 | 0.8801         |
  | 0.4287        | 4.0   | 920  | 0.6087          | 0.8554   | 0.8977 | 0.8766         |
  | 0.1172        | 5.0   | 1150 | 0.6524          | 0.8456   | 0.8901 | 0.8678         |
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  