readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: finetuned_cont
    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. -->
  
  # finetuned_cont
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4785
  - Accuracy: 0.7715
  - F1: 0.7703
  
  ## 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-06
  - train_batch_size: 16
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4967        | 1.0   | 625  | 0.4989          | 0.7565   | 0.7542 |
  | 0.4727        | 2.0   | 1250 | 0.4830          | 0.773    | 0.7669 |
  | 0.4559        | 3.0   | 1875 | 0.4887          | 0.772    | 0.7637 |
  | 0.4395        | 4.0   | 2500 | 0.4785          | 0.7715   | 0.7703 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.12.1+cu113
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  