readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: small-mlm-glue-mnli-target-glue-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. -->
  
  # small-mlm-glue-mnli-target-glue-cola
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-mnli](https://huggingface.co/muhtasham/small-mlm-glue-mnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3350
  - Matthews Correlation: 0.3543
  
  ## 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: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - training_steps: 5000
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.5465        | 1.87  | 500  | 0.6179          | 0.2452               |
  | 0.353         | 3.73  | 1000 | 0.7308          | 0.3345               |
  | 0.2205        | 5.6   | 1500 | 0.9055          | 0.3404               |
  | 0.1595        | 7.46  | 2000 | 1.0344          | 0.3902               |
  | 0.1213        | 9.33  | 2500 | 1.0756          | 0.4131               |
  | 0.0969        | 11.19 | 3000 | 1.1891          | 0.3919               |
  | 0.0845        | 13.06 | 3500 | 1.2800          | 0.4120               |
  | 0.0778        | 14.93 | 4000 | 1.3350          | 0.3543               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  