readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-finetuned-poet
    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-finetuned-poet
  
  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: 3.5041
  
  ## 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: 20.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 156  | 4.0149          |
  | No log        | 2.0   | 312  | 3.7999          |
  | No log        | 3.0   | 468  | 3.7235          |
  | 4.4263        | 4.0   | 624  | 3.6806          |
  | 4.4263        | 5.0   | 780  | 3.6501          |
  | 4.4263        | 6.0   | 936  | 3.6179          |
  | 3.951         | 7.0   | 1092 | 3.6038          |
  | 3.951         | 8.0   | 1248 | 3.5823          |
  | 3.951         | 9.0   | 1404 | 3.5644          |
  | 3.787         | 10.0  | 1560 | 3.5492          |
  | 3.787         | 11.0  | 1716 | 3.5452          |
  | 3.787         | 12.0  | 1872 | 3.5312          |
  | 3.6901        | 13.0  | 2028 | 3.5259          |
  | 3.6901        | 14.0  | 2184 | 3.5181          |
  | 3.6901        | 15.0  | 2340 | 3.5108          |
  | 3.6901        | 16.0  | 2496 | 3.5109          |
  | 3.6212        | 17.0  | 2652 | 3.5074          |
  | 3.6212        | 18.0  | 2808 | 3.5043          |
  | 3.6212        | 19.0  | 2964 | 3.5041          |
  | 3.5786        | 20.0  | 3120 | 3.5041          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  