nba_pbp_distilgpt2

This model is a fine-tuned version of 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