readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilGPT-ft-eli5
    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. -->
  
  # distilGPT-ft-eli5
  
  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: 5.5643
  
  ## 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: 30
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 281  | 5.8277          |
  | 5.7427        | 2.0   | 562  | 5.7525          |
  | 5.7427        | 3.0   | 843  | 5.7016          |
  | 5.5614        | 4.0   | 1124 | 5.6593          |
  | 5.5614        | 5.0   | 1405 | 5.6273          |
  | 5.4408        | 6.0   | 1686 | 5.6029          |
  | 5.4408        | 7.0   | 1967 | 5.5855          |
  | 5.3522        | 8.0   | 2248 | 5.5739          |
  | 5.2948        | 9.0   | 2529 | 5.5670          |
  | 5.2948        | 10.0  | 2810 | 5.5643          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.6.0
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  