readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-stsb-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-stsb-target-glue-sst2
  
  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: 0.3917
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.3935        | 0.24  | 500  | 0.3629          | 0.8429   |
  | 0.3047        | 0.48  | 1000 | 0.3266          | 0.8624   |
  | 0.2593        | 0.71  | 1500 | 0.3357          | 0.8624   |
  | 0.2399        | 0.95  | 2000 | 0.3098          | 0.8739   |
  | 0.1845        | 1.19  | 2500 | 0.3578          | 0.8761   |
  | 0.1687        | 1.43  | 3000 | 0.3724          | 0.8716   |
  | 0.1668        | 1.66  | 3500 | 0.3827          | 0.8842   |
  | 0.1672        | 1.9   | 4000 | 0.3403          | 0.8899   |
  | 0.1361        | 2.14  | 4500 | 0.5571          | 0.8372   |
  | 0.1256        | 2.38  | 5000 | 0.3917          | 0.8876   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  