readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - matthews_correlation
  model-index:
  - name: bert-base-uncased-8-10-0.01
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: glue
        type: glue
        args: cola
      metrics:
      - name: Matthews Correlation
        type: matthews_correlation
        value: 0.0
  ---
  
  <!-- 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-8-10-0.01
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8324
  - Matthews Correlation: 0.0
  
  ## 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: 0.01
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | No log        | 1.0   | 400  | 0.8324          | 0.0                  |
  | 1.0904        | 2.0   | 800  | 1.3157          | 0.0                  |
  | 0.9461        | 3.0   | 1200 | 0.4407          | 0.0                  |
  | 0.9565        | 4.0   | 1600 | 2.1082          | 0.0                  |
  | 1.024         | 5.0   | 2000 | 0.7220          | 0.0                  |
  | 1.024         | 6.0   | 2400 | 0.7414          | 0.0                  |
  | 0.8362        | 7.0   | 2800 | 0.4442          | 0.0                  |
  | 0.6765        | 8.0   | 3200 | 0.5481          | 0.0                  |
  | 0.5902        | 9.0   | 3600 | 0.5642          | 0.0                  |
  | 0.5476        | 10.0  | 4000 | 0.4449          | 0.0                  |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.9.0
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  