readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: bert-nlp-project-ft-imdb-ds-news
    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-nlp-project-ft-imdb-ds-news
  
  This model is a fine-tuned version of [jestemleon/bert-nlp-project-imdb](https://huggingface.co/jestemleon/bert-nlp-project-imdb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4268
  - Accuracy: 0.8984
  - F1: 0.8780
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4318        | 0.37  | 120  | 0.3162          | 0.8828   | 0.8598 |
  | 0.3094        | 0.75  | 240  | 0.2958          | 0.8891   | 0.8678 |
  | 0.2667        | 1.12  | 360  | 0.3354          | 0.8984   | 0.8776 |
  | 0.2074        | 1.5   | 480  | 0.3459          | 0.8922   | 0.8691 |
  | 0.1805        | 1.87  | 600  | 0.3802          | 0.8969   | 0.8769 |
  | 0.132         | 2.24  | 720  | 0.3858          | 0.9      | 0.8779 |
  | 0.1051        | 2.62  | 840  | 0.4174          | 0.8969   | 0.8755 |
  | 0.1074        | 2.99  | 960  | 0.4268          | 0.8984   | 0.8780 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  