readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - matthews_correlation
  model-index:
  - name: bert-base-uncased-cola
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: GLUE COLA
        type: glue
        config: cola
        split: validation
        args: cola
      metrics:
      - name: Matthews Correlation
        type: matthews_correlation
        value: 0.5992215466535732
  ---
  
  <!-- 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-cola
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE COLA dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4136
  - Matthews Correlation: 0.5992
  
  ## 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: 5e-05
  - train_batch_size: 128
  - eval_batch_size: 128
  - seed: 10
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.4952        | 1.0   | 67   | 0.4678          | 0.5145               |
  | 0.2907        | 2.0   | 134  | 0.4136          | 0.5992               |
  | 0.1654        | 3.0   | 201  | 0.5372          | 0.5727               |
  | 0.1187        | 4.0   | 268  | 0.4595          | 0.5838               |
  | 0.0901        | 5.0   | 335  | 0.6232          | 0.5887               |
  | 0.0675        | 6.0   | 402  | 0.6140          | 0.5837               |
  | 0.0596        | 7.0   | 469  | 0.7469          | 0.6006               |
  | 0.0502        | 8.0   | 536  | 0.6665          | 0.5905               |
  | 0.0391        | 9.0   | 603  | 1.0236          | 0.5550               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.14.0a0+410ce96
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  