readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-emailgen-finetuned-custom-mail
    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. -->
  
  # distilgpt2-emailgen-finetuned-custom-mail
  
  This model is a fine-tuned version of [postbot/distilgpt2-emailgen](https://huggingface.co/postbot/distilgpt2-emailgen) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2633
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 7    | 3.6910          |
  | No log        | 2.0   | 14   | 3.5847          |
  | No log        | 3.0   | 21   | 3.5208          |
  | No log        | 4.0   | 28   | 3.4705          |
  | No log        | 5.0   | 35   | 3.4275          |
  | No log        | 6.0   | 42   | 3.3903          |
  | No log        | 7.0   | 49   | 3.3649          |
  | No log        | 8.0   | 56   | 3.3466          |
  | No log        | 9.0   | 63   | 3.3280          |
  | No log        | 10.0  | 70   | 3.3129          |
  | No log        | 11.0  | 77   | 3.3008          |
  | No log        | 12.0  | 84   | 3.2890          |
  | No log        | 13.0  | 91   | 3.2806          |
  | No log        | 14.0  | 98   | 3.2754          |
  | No log        | 15.0  | 105  | 3.2721          |
  | No log        | 16.0  | 112  | 3.2696          |
  | No log        | 17.0  | 119  | 3.2663          |
  | No log        | 18.0  | 126  | 3.2644          |
  | No log        | 19.0  | 133  | 3.2639          |
  | No log        | 20.0  | 140  | 3.2633          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  