readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - matthews_correlation
  model-index:
  - name: distilroberta-base-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: 0.5678267214677118
  
  widget:
    - text: 'The cat sat on the mat.'
      example_title: Correct grammatical sentence
    - text: 'Me and my friend going to the store.'
      example_title: Incorrect subject-verb agreement
    - text: 'I ain''t got no money.'
      example_title: Incorrect verb conjugation and double negative
    - text: 'She don''t like pizza no more.'
      example_title: Incorrect verb conjugation and double negative
    - text: 'They is arriving tomorrow.'
      example_title: Incorrect verb conjugation
  ---
  
  
  # distilroberta-base-CoLA
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the GLUE COLA dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4974
  - Matthews Correlation: 0.5678
  
  ## 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: 6e-05
  - train_batch_size: 32
  - eval_batch_size: 4
  - seed: 32010
  - distributed_type: multi-GPU
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.03
  - num_epochs: 4.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.4778        | 1.0   | 67   | 0.4630          | 0.5161               |
  | 0.4356        | 2.0   | 134  | 0.4725          | 0.5287               |
  | 0.2934        | 3.0   | 201  | 0.4974          | 0.5678               |
  | 0.1998        | 4.0   | 268  | 0.5419          | 0.5584               |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.1
  