readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: distilbert-base-uncased-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-uncased-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: 1.6550
  - Matthews Correlation: 0.2820
  
  ## 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: 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 1.7255        | 1.0   | 712  | 1.6687          | 0.1995               |
  | 1.3584        | 2.0   | 1424 | 1.6550          | 0.2820               |
  | 1.024         | 3.0   | 2136 | 1.7990          | 0.2564               |
  | 0.8801        | 4.0   | 2848 | 2.1304          | 0.2657               |
  | 0.7138        | 5.0   | 3560 | 2.1946          | 0.2584               |
  | 0.5799        | 6.0   | 4272 | 2.4351          | 0.2660               |
  | 0.5385        | 7.0   | 4984 | 2.6819          | 0.2539               |
  | 0.4088        | 8.0   | 5696 | 2.8667          | 0.2436               |
  | 0.3722        | 9.0   | 6408 | 2.9077          | 0.2612               |
  | 0.3173        | 10.0  | 7120 | 2.9795          | 0.2542               |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  