readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-mrpc-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. -->
  
  # small-mlm-glue-mrpc-target-glue-qnli
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-mrpc](https://huggingface.co/muhtasham/small-mlm-glue-mrpc) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3483
  - Accuracy: 0.8607
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.4922        | 0.15  | 500  | 0.3954          | 0.8243   |
  | 0.4468        | 0.31  | 1000 | 0.3839          | 0.8343   |
  | 0.4228        | 0.46  | 1500 | 0.3578          | 0.8481   |
  | 0.4132        | 0.61  | 2000 | 0.3697          | 0.8407   |
  | 0.4094        | 0.76  | 2500 | 0.3400          | 0.8558   |
  | 0.3946        | 0.92  | 3000 | 0.3316          | 0.8583   |
  | 0.3523        | 1.07  | 3500 | 0.3481          | 0.8536   |
  | 0.3151        | 1.22  | 4000 | 0.3473          | 0.8594   |
  | 0.3139        | 1.37  | 4500 | 0.3502          | 0.8567   |
  | 0.3203        | 1.53  | 5000 | 0.3483          | 0.8607   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  