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--- |
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license: cc0-1.0 |
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datasets: |
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- philipp-zettl/chessPT-data |
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pipeline_tag: text2text-generation |
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tags: |
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- chess |
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--- |
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# Model card for chessPT |
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A pretrained Decoder only transformer model for chess move prediction with only `~14M` parameters. |
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## Intended use |
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Predict new moves in a chess game based on PGN tokens. |
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## Implementation |
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The model implementation is based on Andrej Karpathy's [nanoGPT](https://github.com/karpathy/nanoGPT) following the webseries "Zero to Hero" on [youtube](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ). |
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## Training |
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You can find the training script in the repositories files under `train.py`. |
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This also contains the used parameters |
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```python |
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context_size = 256 |
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batch_size = 128 |
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max_iters = 30_000 |
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learning_rate = 3e-5 |
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eval_interval = 100 |
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eval_iters = 20 |
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n_embed = 384 |
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n_layer = 6 |
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n_head = 6 |
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dropout = 0.2 |
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``` |
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[](https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fphilipp-zettl%2FchessPT) |
