readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: tiny-mlm-conll2003
    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. -->
  
  # tiny-mlm-conll2003
  
  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.6472
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 5.4619        | 0.4   | 500  | 5.1363          |
  | 5.2804        | 0.8   | 1000 | 4.9579          |
  | 5.1847        | 1.2   | 1500 | 4.7870          |
  | 5.0376        | 1.6   | 2000 | 4.8272          |
  | 4.9622        | 2.0   | 2500 | 4.8460          |
  | 4.913         | 2.4   | 3000 | 4.7859          |
  | 4.9216        | 2.8   | 3500 | 4.7816          |
  | 4.8176        | 3.2   | 4000 | 4.7040          |
  | 4.7735        | 3.6   | 4500 | 4.6986          |
  | 4.7892        | 4.0   | 5000 | 4.6846          |
  | 4.718         | 4.4   | 5500 | 4.6943          |
  | 4.6564        | 4.8   | 6000 | 4.6461          |
  | 4.6593        | 5.2   | 6500 | 4.6011          |
  | 4.6384        | 5.6   | 7000 | 4.7286          |
  | 4.5704        | 6.0   | 7500 | 4.7027          |
  | 4.478         | 6.4   | 8000 | 4.6472          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  