readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-rotten_tomatoes
    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-rotten_tomatoes
  
  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: 3.4233
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.944         | 0.47  | 500  | 3.7349          |
  | 3.8232        | 0.94  | 1000 | 3.5014          |
  | 3.6092        | 1.41  | 1500 | 3.4616          |
  | 3.6009        | 1.87  | 2000 | 3.5919          |
  | 3.5219        | 2.34  | 2500 | 3.4356          |
  | 3.4291        | 2.81  | 3000 | 3.4680          |
  | 3.3769        | 3.28  | 3500 | 3.4817          |
  | 3.3216        | 3.75  | 4000 | 3.4055          |
  | 3.3562        | 4.22  | 4500 | 3.4558          |
  | 3.2755        | 4.69  | 5000 | 3.4803          |
  | 3.2044        | 5.15  | 5500 | 3.3968          |
  | 3.2438        | 5.62  | 6000 | 3.4400          |
  | 3.2322        | 6.09  | 6500 | 3.4033          |
  | 3.0966        | 6.56  | 7000 | 3.3795          |
  | 3.1239        | 7.03  | 7500 | 3.4509          |
  | 3.0585        | 7.5   | 8000 | 3.3826          |
  | 2.9747        | 7.97  | 8500 | 3.4233          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  