readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: model_output_sorted_by_upvotes_positive_subreddit-wallstreetbets_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_sorted_by_upvotes_positive_subreddit-wallstreetbets_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: 3.9814
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.7551        | 1.07  | 1000 | 3.7881          |
  | 3.5181        | 2.13  | 2000 | 3.7335          |
  | 3.3476        | 3.2   | 3000 | 3.7369          |
  | 3.212         | 4.27  | 4000 | 3.7678          |
  | 3.0517        | 5.34  | 5000 | 3.8142          |
  | 2.899         | 6.4   | 6000 | 3.8666          |
  | 2.7874        | 7.47  | 7000 | 3.9208          |
  | 2.7247        | 8.54  | 8000 | 3.9636          |
  | 2.6566        | 9.6   | 9000 | 3.9814          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  