readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: tiny-mlm-glue-wnli-target-glue-qnli
    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-wnli-target-glue-qnli
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-wnli](https://huggingface.co/muhtasham/tiny-mlm-glue-wnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4737
  - Accuracy: 0.7794
  
  ## 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 | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.6298        | 0.15  | 500  | 0.5598          | 0.7249   |
  | 0.563         | 0.31  | 1000 | 0.5282          | 0.7435   |
  | 0.5386        | 0.46  | 1500 | 0.5010          | 0.7571   |
  | 0.527         | 0.61  | 2000 | 0.5312          | 0.7426   |
  | 0.5221        | 0.76  | 2500 | 0.4837          | 0.7743   |
  | 0.5131        | 0.92  | 3000 | 0.4730          | 0.7785   |
  | 0.4991        | 1.07  | 3500 | 0.4643          | 0.7860   |
  | 0.4896        | 1.22  | 4000 | 0.4685          | 0.7809   |
  | 0.4755        | 1.37  | 4500 | 0.4734          | 0.7783   |
  | 0.4829        | 1.53  | 5000 | 0.4737          | 0.7794   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  