readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: codeparrot-ds-sample-2ep-batchsize32
    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-sample-2ep-batchsize32
  
  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: 1.5721
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - distributed_type: tpu
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 4.3529        | 0.19  | 1000  | 2.8073          |
  | 2.4602        | 0.37  | 2000  | 2.2907          |
  | 2.1127        | 0.56  | 3000  | 2.0745          |
  | 1.9187        | 0.74  | 4000  | 1.9287          |
  | 1.782         | 0.93  | 5000  | 1.8234          |
  | 1.639         | 1.11  | 6000  | 1.7456          |
  | 1.5519        | 1.3   | 7000  | 1.6738          |
  | 1.489         | 1.49  | 8000  | 1.6235          |
  | 1.4372        | 1.67  | 9000  | 1.5874          |
  | 1.4122        | 1.86  | 10000 | 1.5721          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  