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
Runs of arvkevi nba_pbp_distilgpt2 on huggingface.co
25
Total runs
-4
24-hour runs
-3
3-day runs
-4
7-day runs
6
30-day runs
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