readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: model_output_original_subreddit-AskScienceFiction_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. -->
  
  # model_output_original_subreddit-AskScienceFiction_1
  
  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: 3.6407
  
  ## 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: 0.0005
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 512
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.9231        | 0.3   | 500  | 3.8087          |
  | 3.8459        | 0.6   | 1000 | 3.7766          |
  | 3.8217        | 0.9   | 1500 | 3.7372          |
  | 3.6939        | 1.21  | 2000 | 3.7237          |
  | 3.6745        | 1.51  | 2500 | 3.7030          |
  | 3.6757        | 1.81  | 3000 | 3.6811          |
  | 3.5099        | 2.11  | 3500 | 3.6839          |
  | 3.505         | 2.41  | 4000 | 3.6709          |
  | 3.5232        | 2.71  | 4500 | 3.6515          |
  | 3.3416        | 3.01  | 5000 | 3.6563          |
  | 3.3725        | 3.32  | 5500 | 3.6496          |
  | 3.3672        | 3.62  | 6000 | 3.6373          |
  | 3.3495        | 3.92  | 6500 | 3.6280          |
  | 3.2464        | 4.22  | 7000 | 3.6439          |
  | 3.2467        | 4.52  | 7500 | 3.6415          |
  | 3.2473        | 4.82  | 8000 | 3.6407          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  