readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: small-mlm-snli-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-snli-target-glue-cola
  
  This model is a fine-tuned version of [muhtasham/small-mlm-snli](https://huggingface.co/muhtasham/small-mlm-snli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4489
  - Matthews Correlation: 0.4133
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.5418        | 1.87  | 500  | 0.6051          | 0.2796               |
  | 0.3572        | 3.73  | 1000 | 0.6915          | 0.3452               |
  | 0.2288        | 5.6   | 1500 | 0.7982          | 0.3466               |
  | 0.1649        | 7.46  | 2000 | 0.9558          | 0.3574               |
  | 0.1272        | 9.33  | 2500 | 1.0736          | 0.3918               |
  | 0.1059        | 11.19 | 3000 | 1.2405          | 0.3573               |
  | 0.0953        | 13.06 | 3500 | 1.3135          | 0.3521               |
  | 0.0772        | 14.93 | 4000 | 1.3722          | 0.3965               |
  | 0.0658        | 16.79 | 4500 | 1.4417          | 0.3609               |
  | 0.0608        | 18.66 | 5000 | 1.4489          | 0.4133               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  