readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - yelp_review_full
  metrics:
  - accuracy
  model-index:
  - name: yelp_review_classification
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: yelp_review_full
        type: yelp_review_full
        config: yelp_review_full
        split: train
        args: yelp_review_full
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.6852
  ---
  
  <!-- 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. -->
  
  # yelp_review_classification
  
  This model was trained from scratch on the yelp_review_full dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8517
  - Accuracy: 0.6852
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Accuracy | Validation Loss |
  |:-------------:|:-----:|:------:|:--------:|:---------------:|
  | 0.7149        | 1.0   | 40625  | 0.6889   | 0.7167          |
  | 0.6501        | 2.0   | 81250  | 0.6967   | 0.6979          |
  | 0.5547        | 3.0   | 121875 | 0.6915   | 0.7377          |
  | 0.5375        | 4.0   | 162500 | 0.6895   | 0.7611          |
  | 0.4386        | 5.0   | 203125 | 0.8517   | 0.6852          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu102
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  