readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-qnli-target-glue-mnli
    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-mnli
  
  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: 0.6485
  - Accuracy: 0.7301
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.9061        | 0.04  | 500  | 0.8129          | 0.6436   |
  | 0.8051        | 0.08  | 1000 | 0.7717          | 0.6652   |
  | 0.7687        | 0.12  | 1500 | 0.7466          | 0.6765   |
  | 0.7454        | 0.16  | 2000 | 0.7259          | 0.6920   |
  | 0.7392        | 0.2   | 2500 | 0.7105          | 0.6953   |
  | 0.7297        | 0.24  | 3000 | 0.6978          | 0.6995   |
  | 0.7117        | 0.29  | 3500 | 0.6829          | 0.7105   |
  | 0.7004        | 0.33  | 4000 | 0.6710          | 0.7146   |
  | 0.6787        | 0.37  | 4500 | 0.6734          | 0.7186   |
  | 0.6787        | 0.41  | 5000 | 0.6485          | 0.7301   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  