readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: tiny-mlm-glue-qnli-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. -->
  
  # tiny-mlm-glue-qnli-target-glue-cola
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7322
  - Matthews Correlation: 0.1353
  
  ## 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
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.6099        | 1.87  | 500  | 0.6209          | 0.0                  |
  | 0.6009        | 3.73  | 1000 | 0.6169          | 0.0                  |
  | 0.5819        | 5.6   | 1500 | 0.6196          | 0.0545               |
  | 0.5519        | 7.46  | 2000 | 0.6391          | 0.0997               |
  | 0.5226        | 9.33  | 2500 | 0.6657          | 0.1182               |
  | 0.5061        | 11.19 | 3000 | 0.6671          | 0.1357               |
  | 0.4831        | 13.06 | 3500 | 0.6787          | 0.1205               |
  | 0.4652        | 14.93 | 4000 | 0.7167          | 0.1264               |
  | 0.4443        | 16.79 | 4500 | 0.7322          | 0.1353               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  