readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - Langame/starter
  model-index:
  - name: distilgpt2-starter
    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. -->
  
  # distilgpt2-starter
  
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the Langame/starter dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.0234
  
  ## 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: 5e-05
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 500.0
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss |
  |:-------------:|:------:|:----:|:---------------:|
  | No log        | 66.67  | 200  | 3.6445          |
  | No log        | 133.33 | 400  | 4.5703          |
  | 1.0101        | 200.0  | 600  | 5.2109          |
  | 1.0101        | 266.67 | 800  | 5.5430          |
  | 0.0681        | 333.33 | 1000 | 5.7227          |
  | 0.0681        | 400.0  | 1200 | 5.8672          |
  | 0.0681        | 466.67 | 1400 | 5.9961          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.1
  - Tokenizers 0.11.0
  