readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-kit-TLDR
    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-kit-TLDR
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6706
  
  ## 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
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 6    | 3.5139          |
  | No log        | 2.0   | 12   | 2.8465          |
  | No log        | 3.0   | 18   | 2.4698          |
  | No log        | 4.0   | 24   | 2.2862          |
  | No log        | 5.0   | 30   | 2.1564          |
  | No log        | 6.0   | 36   | 2.0529          |
  | No log        | 7.0   | 42   | 1.9766          |
  | No log        | 8.0   | 48   | 1.9204          |
  | No log        | 9.0   | 54   | 1.8798          |
  | No log        | 10.0  | 60   | 1.8424          |
  | No log        | 11.0  | 66   | 1.8088          |
  | No log        | 12.0  | 72   | 1.7897          |
  | No log        | 13.0  | 78   | 1.7650          |
  | No log        | 14.0  | 84   | 1.7472          |
  | No log        | 15.0  | 90   | 1.7345          |
  | No log        | 16.0  | 96   | 1.7275          |
  | No log        | 17.0  | 102  | 1.7161          |
  | No log        | 18.0  | 108  | 1.7056          |
  | No log        | 19.0  | 114  | 1.6984          |
  | No log        | 20.0  | 120  | 1.6913          |
  | No log        | 21.0  | 126  | 1.6857          |
  | No log        | 22.0  | 132  | 1.6875          |
  | No log        | 23.0  | 138  | 1.6876          |
  | No log        | 24.0  | 144  | 1.6846          |
  | No log        | 25.0  | 150  | 1.6813          |
  | No log        | 26.0  | 156  | 1.6776          |
  | No log        | 27.0  | 162  | 1.6740          |
  | No log        | 28.0  | 168  | 1.6725          |
  | No log        | 29.0  | 174  | 1.6716          |
  | No log        | 30.0  | 180  | 1.6706          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0
  - Tokenizers 0.12.1
  