readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-finetuned-yannic-test-1
    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-yannic-test-1
  
  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: 3.5082
  
  ## 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: 5e-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: 8
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 482  | 3.5938          |
  | 3.6669        | 2.0   | 964  | 3.5534          |
  | 3.5089        | 3.0   | 1446 | 3.5315          |
  | 3.4295        | 4.0   | 1928 | 3.5197          |
  | 3.3772        | 5.0   | 2410 | 3.5143          |
  | 3.3383        | 6.0   | 2892 | 3.5110          |
  | 3.3092        | 7.0   | 3374 | 3.5084          |
  | 3.2857        | 8.0   | 3856 | 3.5082          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  