Instructions to use datafreak/laya-chess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use datafreak/laya-chess with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
step19451: step 19451, 1244864 examples, eval {'val_loss': 1.4023, 'val_wp_mae': 0.0945, 'top_move_acc': 0.21333333333333335, 'step': 18000}
Browse files- README.md +1 -1
- chess_meta.json +95 -81
- model.safetensors +1 -1
README.md
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@@ -9,7 +9,7 @@ tags: [chess, laya, decision-model]
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for each legal move, a Laya `score` question predicts the side to move's win chance over 10 levels.
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The engine plays the move with the highest expected win chance (no search).
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- checkpoint: `
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- latest eval: `{'val_loss': 1.4023, 'val_wp_mae': 0.0945, 'top_move_acc': 0.21333333333333335, 'step': 18000}`
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- encoding / levels / prompt template: see `chess_meta.json`
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- code: github.com/devroopsaha744/LayaChess
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for each legal move, a Laya `score` question predicts the side to move's win chance over 10 levels.
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The engine plays the move with the highest expected win chance (no search).
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+
- checkpoint: `step19451` (step 19451, 1,244,864 training examples)
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- latest eval: `{'val_loss': 1.4023, 'val_wp_mae': 0.0945, 'top_move_acc': 0.21333333333333335, 'step': 18000}`
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- encoding / levels / prompt template: see `chess_meta.json`
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- code: github.com/devroopsaha744/LayaChess
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chess_meta.json
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"crit": [
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"0-10%",
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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| 3 |
size 842609220
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:d9c36919078e90f1467759c0c2e53d0e28158043b6ecf36ece5b9324e2d529e7
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size 842609220
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