readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: starbot-transformers
    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. -->
  
  # starbot-transformers
  
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4079
  
  ## 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: 0.005
  - 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.3942        | 1.0   | 2992  | 3.3385          |
  | 3.2566        | 2.0   | 5984  | 3.2760          |
  | 3.4112        | 3.0   | 8976  | 3.4710          |
  | 3.4887        | 4.0   | 11968 | 3.5264          |
  | 3.4856        | 5.0   | 14960 | 3.5181          |
  | 3.4359        | 6.0   | 17952 | 3.5079          |
  | 3.4115        | 7.0   | 20944 | 3.4954          |
  | 3.3657        | 8.0   | 23936 | 3.4482          |
  | 3.3018        | 9.0   | 26928 | 3.4207          |
  | 3.2435        | 10.0  | 29920 | 3.4079          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  