| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| widget: | |
| - text: 1 11:45 0-0 K. Looney misses 2-pt layup from 4 ft (block by R. Williams) | |
| example_title: GSW-BOS | |
| base_model: distilgpt2 | |
| model-index: | |
| - name: nba_pbp_distilgpt2 | |
| 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. --> | |
| # 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 | |