readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: tiny-vanilla-target-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. -->
  
  # tiny-vanilla-target-rotten_tomatoes
  
  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7243
  - Accuracy: 0.7674
  - F1: 0.7672
  
  ## 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
  - training_steps: 5000
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.628         | 1.87  | 500  | 0.5538          | 0.7195   | 0.7194 |
  | 0.5067        | 3.75  | 1000 | 0.5213          | 0.7411   | 0.7398 |
  | 0.4249        | 5.62  | 1500 | 0.5142          | 0.7570   | 0.7562 |
  | 0.3566        | 7.49  | 2000 | 0.5391          | 0.7608   | 0.7598 |
  | 0.3012        | 9.36  | 2500 | 0.5747          | 0.7720   | 0.7719 |
  | 0.2553        | 11.24 | 3000 | 0.6101          | 0.7655   | 0.7650 |
  | 0.2106        | 13.11 | 3500 | 0.7000          | 0.7636   | 0.7627 |
  | 0.1766        | 14.98 | 4000 | 0.7243          | 0.7674   | 0.7672 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  