readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-gpt2-ML-weight1-epoch5
    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-ML-weight1-epoch5
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.5008
  - Cls loss: 0.5177
  - Lm loss: 3.9827
  - Cls Accuracy: 0.6069
  - Cls F1: 0.7986
  - Cls Precision: 0.8382
  - Cls Recall: 0.7988
  - Perplexity: 53.66
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|:------------:|:------:|:-------------:|:----------:|:----------:|
  | 4.6559        | 1.0   | 3470  | 4.4661          | 0.4247   | 4.0411  | 0.5827       | 0.7880 | 0.8440        | 0.7785     | 56.89      |
  | 4.4053        | 2.0   | 6940  | 4.4125          | 0.4061   | 4.0061  | 0.6121       | 0.8008 | 0.8504        | 0.7923     | 54.93      |
  | 4.292         | 3.0   | 10410 | 4.4590          | 0.4656   | 3.9930  | 0.6063       | 0.7981 | 0.8463        | 0.7927     | 54.22      |
  | 4.2006        | 4.0   | 13880 | 4.4918          | 0.5056   | 3.9858  | 0.6058       | 0.7978 | 0.8399        | 0.7972     | 53.83      |
  | 4.1427        | 5.0   | 17350 | 4.5008          | 0.5177   | 3.9827  | 0.6069       | 0.7986 | 0.8382        | 0.7988     | 53.66      |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1