readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-gpt2-mc-weight0.25-epoch2-new-nosharing
    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. -->
  
  # gpt2-gpt2-mc-weight0.25-epoch2-new-nosharing
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.3672
  - Cls loss: 1.4634
  - Lm loss: 4.0012
  - Cls Accuracy: 0.6121
  - Cls F1: 0.6023
  - Cls Precision: 0.6288
  - Cls Recall: 0.6121
  - Perplexity: 54.66
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Cls loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Lm loss | Perplexity | Validation Loss |
  |:-------------:|:-----:|:----:|:--------:|:------------:|:------:|:-------------:|:----------:|:-------:|:----------:|:---------------:|
  | 4.6729        | 1.0   | 3470 | 1.5425   | 0.5689       | 0.5448 | 0.5732        | 0.5689     | 4.0392  | 56.78      | 4.4248          |
  | 4.3854        | 2.0   | 6940 | 1.4634   | 0.6121       | 0.6023 | 0.6288        | 0.6121     | 4.0012  | 54.66      | 4.3672          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  