readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: model_output_original_subreddit-poker_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-poker_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: 3.4228
  
  ## 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: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.8297        | 0.27  | 500  | 3.7221          |
  | 3.6975        | 0.53  | 1000 | 3.6183          |
  | 3.6293        | 0.8   | 1500 | 3.5539          |
  | 3.475         | 1.07  | 2000 | 3.5102          |
  | 3.4176        | 1.34  | 2500 | 3.4696          |
  | 3.3944        | 1.6   | 3000 | 3.4375          |
  | 3.3791        | 1.87  | 3500 | 3.4228          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  