readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-finetuned-yannic-large
    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. -->
  
  # gpt2-finetuned-yannic-large
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.0845
  
  ## 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
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 403  | 3.2112          |
  | 3.3686        | 2.0   | 806  | 3.1667          |
  | 3.2407        | 3.0   | 1209 | 3.1426          |
  | 3.1842        | 4.0   | 1612 | 3.1277          |
  | 3.134         | 5.0   | 2015 | 3.1135          |
  | 3.134         | 6.0   | 2418 | 3.1055          |
  | 3.0949        | 7.0   | 2821 | 3.1004          |
  | 3.0644        | 8.0   | 3224 | 3.0938          |
  | 3.0391        | 9.0   | 3627 | 3.0904          |
  | 3.0219        | 10.0  | 4030 | 3.0882          |
  | 3.0219        | 11.0  | 4433 | 3.0865          |
  | 3.0052        | 12.0  | 4836 | 3.0858          |
  | 2.9926        | 13.0  | 5239 | 3.0859          |
  | 2.9803        | 14.0  | 5642 | 3.0842          |
  | 2.9793        | 15.0  | 6045 | 3.0845          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  