readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: distilbert-base-uncasedreference-finetuned-cola
    results: []
  ---
  
  <!-- 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. -->
  
  # distilbert-base-uncasedreference-finetuned-cola
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0408
  - Matthews Correlation: 0.2397
  
  ## 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: 16
  - 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   | 23   | 1.0818          | 0.0                  |
  | No log        | 2.0   | 46   | 1.0870          | 0.0                  |
  | No log        | 3.0   | 69   | 1.0482          | 0.0                  |
  | No log        | 4.0   | 92   | 1.0365          | -0.0847              |
  | No log        | 5.0   | 115  | 1.0346          | 0.0193               |
  | No log        | 6.0   | 138  | 1.0449          | 0.1171               |
  | No log        | 7.0   | 161  | 1.0368          | 0.0917               |
  | No log        | 8.0   | 184  | 1.0389          | 0.1690               |
  | No log        | 9.0   | 207  | 1.0367          | 0.2397               |
  | No log        | 10.0  | 230  | 1.0408          | 0.2397               |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  