readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: nba_pbp_distilgpt2
    results: []
  widget:
  - text: "1 11:45 0-0 K. Looney misses 2-pt layup from 4 ft (block by R. Williams)"
    example_title: "GSW-BOS"
  
  ---
  
  <!-- 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. -->
  
  # nba_pbp_distilgpt2
  
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on text files containing play-by-play descriptions of games played by the Boston Celtics and Golden State Warriors during the 2021-22 NBA season.
  
  It achieves the following results on the evaluation set:
  - Loss: 0.6324
  - Accuracy: 0.8117
  
  ## Model description
  
  This model will generate properly formatted play-by-play descriptions of an NBA game with players from the Boston Celtics and Golden State Warriors.
  
  ## 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: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.22.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  