readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-glue-wnli
    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-wnli
  
  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: 0.1284
  
  ## 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
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss |
  |:-------------:|:------:|:----:|:---------------:|
  | 1.7452        | 6.25   | 500  | 1.2770          |
  | 0.9127        | 12.5   | 1000 | 0.8006          |
  | 0.6024        | 18.75  | 1500 | 0.5714          |
  | 0.3967        | 25.0   | 2000 | 0.6533          |
  | 0.3443        | 31.25  | 2500 | 0.3623          |
  | 0.2739        | 37.5   | 3000 | 0.3035          |
  | 0.2326        | 43.75  | 3500 | 0.2767          |
  | 0.1942        | 50.0   | 4000 | 0.1730          |
  | 0.1666        | 56.25  | 4500 | 0.1674          |
  | 0.1688        | 62.5   | 5000 | 0.1459          |
  | 0.1378        | 68.75  | 5500 | 0.2353          |
  | 0.1344        | 75.0   | 6000 | 0.1074          |
  | 0.1259        | 81.25  | 6500 | 0.1757          |
  | 0.1176        | 87.5   | 7000 | 0.0720          |
  | 0.1114        | 93.75  | 7500 | 0.1377          |
  | 0.0993        | 100.0  | 8000 | 0.1752          |
  | 0.0992        | 106.25 | 8500 | 0.1284          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  