readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - imdb
  model-index:
  - name: bert-base-uncased-finetuned-imdb
    results:
    - task:
        name: Masked Language Modeling
        type: fill-mask
      dataset:
        name: imdb
        type: imdb
        args: plain_text
  ---
  
  <!-- 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. -->
  
  # bert-base-uncased-finetuned-imdb
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0284
  
  ## 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: 2e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.2244        | 1.0   | 958  | 2.0726          |
  | 2.1537        | 2.0   | 1916 | 2.0381          |
  | 2.1183        | 3.0   | 2874 | 2.0284          |
  
  
  ### Framework versions
  
  - Transformers 4.10.3
  - Pytorch 1.9.1+cu111
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  