readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: small-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. -->
  
  # small-mlm-glue-qnli-target-glue-cola
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-qnli](https://huggingface.co/muhtasham/small-mlm-glue-qnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5412
  - Matthews Correlation: 0.4140
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.5329        | 1.87  | 500  | 0.6440          | 0.2518               |
  | 0.3419        | 3.73  | 1000 | 0.7266          | 0.3317               |
  | 0.2216        | 5.6   | 1500 | 0.8836          | 0.3327               |
  | 0.1539        | 7.46  | 2000 | 1.0337          | 0.3419               |
  | 0.1183        | 9.33  | 2500 | 1.1863          | 0.3833               |
  | 0.1029        | 11.19 | 3000 | 1.2204          | 0.3612               |
  | 0.0913        | 13.06 | 3500 | 1.2910          | 0.3900               |
  | 0.0736        | 14.93 | 4000 | 1.3354          | 0.3878               |
  | 0.0615        | 16.79 | 4500 | 1.4930          | 0.3735               |
  | 0.058         | 18.66 | 5000 | 1.5412          | 0.4140               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  