readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: tiny-mlm-glue-sst2-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-sst2-target-glue-cola
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-sst2](https://huggingface.co/muhtasham/tiny-mlm-glue-sst2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7448
  - Matthews Correlation: 0.0872
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.6095        | 1.87  | 500  | 0.6220          | 0.0                  |
  | 0.6011        | 3.73  | 1000 | 0.6197          | 0.0464               |
  | 0.5864        | 5.6   | 1500 | 0.6206          | 0.0452               |
  | 0.5615        | 7.46  | 2000 | 0.6423          | 0.0789               |
  | 0.5349        | 9.33  | 2500 | 0.6603          | 0.0765               |
  | 0.518         | 11.19 | 3000 | 0.6809          | 0.0882               |
  | 0.4938        | 13.06 | 3500 | 0.6936          | 0.0864               |
  | 0.4755        | 14.93 | 4000 | 0.7229          | 0.0848               |
  | 0.4509        | 16.79 | 4500 | 0.7448          | 0.0872               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  