readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-stsb-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-stsb-target-glue-qnli
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-stsb](https://huggingface.co/muhtasham/small-mlm-glue-stsb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3477
  - Accuracy: 0.8547
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.4913        | 0.15  | 500  | 0.3941          | 0.8287   |
  | 0.4468        | 0.31  | 1000 | 0.3872          | 0.8303   |
  | 0.4246        | 0.46  | 1500 | 0.3619          | 0.8411   |
  | 0.4133        | 0.61  | 2000 | 0.3757          | 0.8375   |
  | 0.4133        | 0.76  | 2500 | 0.3445          | 0.8503   |
  | 0.3958        | 0.92  | 3000 | 0.3340          | 0.8574   |
  | 0.3576        | 1.07  | 3500 | 0.3426          | 0.8558   |
  | 0.318         | 1.22  | 4000 | 0.3568          | 0.8559   |
  | 0.3166        | 1.37  | 4500 | 0.3477          | 0.8547   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  