readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: codeparrot-ds
    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. -->
  
  # codeparrot-ds
  
  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: 3.7958
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.0659        | 0.34  | 5000  | 3.9176          |
  | 1.8404        | 0.67  | 10000 | 3.7958          |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.11.0
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  