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nba_pbp_distilgpt2
arvkevi/nba_pbp_distilgpt2
nba_pbp_distilgpt2 is a text generation model from arvkevi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Aug 13, 2022
- Updated
- Oct 23, 2024