readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-uncased-IMDB_disbert1
    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. -->
  
  # distilbert-base-uncased-IMDB_disbert1
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0461
  
  ## 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: 5e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 12
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.5838        | 1.0   | 10000  | 2.3985          |
  | 2.4367        | 2.0   | 20000  | 2.3194          |
  | 2.349         | 3.0   | 30000  | 2.2716          |
  | 2.2764        | 4.0   | 40000  | 2.2392          |
  | 2.2169        | 5.0   | 50000  | 2.1972          |
  | 2.1623        | 6.0   | 60000  | 2.1655          |
  | 2.122         | 7.0   | 70000  | 2.1277          |
  | 2.0728        | 8.0   | 80000  | 2.1221          |
  | 2.0348        | 9.0   | 90000  | 2.0928          |
  | 1.9918        | 10.0  | 100000 | 2.0739          |
  | 1.9621        | 11.0  | 110000 | 2.0536          |
  | 1.9394        | 12.0  | 120000 | 2.0461          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  