readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-vanilla-target-glue-rte
    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-vanilla-target-glue-rte
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.8377
  - Accuracy: 0.6390
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.4103        | 6.41  | 500  | 1.1929          | 0.6318   |
  | 0.0583        | 12.82 | 1000 | 2.3816          | 0.6029   |
  | 0.0263        | 19.23 | 1500 | 2.7340          | 0.6065   |
  | 0.0129        | 25.64 | 2000 | 2.8019          | 0.6354   |
  | 0.015         | 32.05 | 2500 | 2.5423          | 0.6426   |
  | 0.0168        | 38.46 | 3000 | 2.7661          | 0.6606   |
  | 0.0112        | 44.87 | 3500 | 2.8761          | 0.6318   |
  | 0.0119        | 51.28 | 4000 | 2.9552          | 0.6426   |
  | 0.0163        | 57.69 | 4500 | 2.8377          | 0.6390   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  