readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: codeparrot-ds-sample-gpt-small-neo-10epoch1
    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-gpt-small-neo-10epoch1
  
  This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5696
  
  ## 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
  - 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.5639        | 0.94  | 1000  | 2.9253          |
  | 2.3253        | 1.88  | 2000  | 2.4563          |
  | 1.8494        | 2.82  | 3000  | 2.2655          |
  | 1.5133        | 3.77  | 4000  | 2.1635          |
  | 1.249         | 4.71  | 5000  | 2.1414          |
  | 1.0194        | 5.65  | 6000  | 2.1818          |
  | 0.7999        | 6.59  | 7000  | 2.2738          |
  | 0.5971        | 7.53  | 8000  | 2.3910          |
  | 0.4238        | 8.47  | 9000  | 2.5062          |
  | 0.3107        | 9.42  | 10000 | 2.5696          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  