readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-finetuned-katpoems-lm-15-epoch
    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-katpoems-lm-15-epoch
  
  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: 4.8145
  
  ## 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: 15.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 59   | 4.6495          |
  | No log        | 2.0   | 118  | 4.6555          |
  | No log        | 3.0   | 177  | 4.6696          |
  | No log        | 4.0   | 236  | 4.6930          |
  | No log        | 5.0   | 295  | 4.7132          |
  | No log        | 6.0   | 354  | 4.7185          |
  | No log        | 7.0   | 413  | 4.7444          |
  | No log        | 8.0   | 472  | 4.7611          |
  | 4.2244        | 9.0   | 531  | 4.7794          |
  | 4.2244        | 10.0  | 590  | 4.7841          |
  | 4.2244        | 11.0  | 649  | 4.7929          |
  | 4.2244        | 12.0  | 708  | 4.8048          |
  | 4.2244        | 13.0  | 767  | 4.8058          |
  | 4.2244        | 14.0  | 826  | 4.8124          |
  | 4.2244        | 15.0  | 885  | 4.8145          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  