readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-medium-mlm-finetuned-imdb
    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. -->
  
  # bert-medium-mlm-finetuned-imdb
  
  This model is a fine-tuned version of [google/bert_uncased_L-8_H-512_A-8](https://huggingface.co/google/bert_uncased_L-8_H-512_A-8) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1565
  
  ## 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: 64
  - eval_batch_size: 64
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.4752        | 0.32  | 500   | 2.2958          |
  | 2.4164        | 0.64  | 1000  | 2.2739          |
  | 2.3904        | 0.96  | 1500  | 2.2490          |
  | 2.3531        | 1.28  | 2000  | 2.2429          |
  | 2.3497        | 1.6   | 2500  | 2.2277          |
  | 2.3208        | 1.92  | 3000  | 2.2253          |
  | 2.3035        | 2.24  | 3500  | 2.2126          |
  | 2.2941        | 2.56  | 4000  | 2.2129          |
  | 2.2953        | 2.88  | 4500  | 2.2009          |
  | 2.2682        | 3.2   | 5000  | 2.1931          |
  | 2.2608        | 3.52  | 5500  | 2.1944          |
  | 2.2475        | 3.84  | 6000  | 2.1844          |
  | 2.2347        | 4.16  | 6500  | 2.1790          |
  | 2.2176        | 4.48  | 7000  | 2.1799          |
  | 2.2263        | 4.8   | 7500  | 2.1722          |
  | 2.2187        | 5.12  | 8000  | 2.1809          |
  | 2.1981        | 5.44  | 8500  | 2.1838          |
  | 2.2157        | 5.76  | 9000  | 2.1646          |
  | 2.1879        | 6.08  | 9500  | 2.1666          |
  | 2.194         | 6.4   | 10000 | 2.1639          |
  | 2.1758        | 6.72  | 10500 | 2.1622          |
  | 2.1811        | 7.04  | 11000 | 2.1605          |
  | 2.1662        | 7.36  | 11500 | 2.1543          |
  | 2.1744        | 7.68  | 12000 | 2.1530          |
  | 2.1712        | 8.0   | 12500 | 2.1577          |
  | 2.1528        | 8.32  | 13000 | 2.1597          |
  | 2.1374        | 8.64  | 13500 | 2.1565          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  