readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-sst2-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-sst2-target-glue-mnli
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-sst2](https://huggingface.co/muhtasham/small-mlm-glue-sst2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6528
  - Accuracy: 0.7271
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.9063        | 0.04  | 500  | 0.8249          | 0.6370   |
  | 0.8116        | 0.08  | 1000 | 0.7813          | 0.6619   |
  | 0.7724        | 0.12  | 1500 | 0.7504          | 0.6764   |
  | 0.7489        | 0.16  | 2000 | 0.7261          | 0.6908   |
  | 0.7413        | 0.2   | 2500 | 0.7141          | 0.6900   |
  | 0.7312        | 0.24  | 3000 | 0.7088          | 0.6972   |
  | 0.7146        | 0.29  | 3500 | 0.6805          | 0.7127   |
  | 0.7041        | 0.33  | 4000 | 0.6703          | 0.7164   |
  | 0.6815        | 0.37  | 4500 | 0.6674          | 0.7241   |
  | 0.6828        | 0.41  | 5000 | 0.6528          | 0.7271   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  