readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-mnli-target-glue-sst2
    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-mnli-target-glue-sst2
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-mnli](https://huggingface.co/muhtasham/small-mlm-glue-mnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4163
  - Accuracy: 0.8876
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.3946        | 0.24  | 500  | 0.3598          | 0.8406   |
  | 0.3068        | 0.48  | 1000 | 0.3467          | 0.8383   |
  | 0.2583        | 0.71  | 1500 | 0.3512          | 0.8612   |
  | 0.2412        | 0.95  | 2000 | 0.3227          | 0.8693   |
  | 0.1855        | 1.19  | 2500 | 0.3500          | 0.8739   |
  | 0.1701        | 1.43  | 3000 | 0.3967          | 0.8589   |
  | 0.1664        | 1.66  | 3500 | 0.3699          | 0.875    |
  | 0.1718        | 1.9   | 4000 | 0.3309          | 0.8922   |
  | 0.134         | 2.14  | 4500 | 0.4765          | 0.8624   |
  | 0.1229        | 2.38  | 5000 | 0.4163          | 0.8876   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  