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Update README.md

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@@ -49,6 +49,10 @@ Note:
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  2) By setting `<BLACK_WIN>` the model is being conditioned to predict moves where black wins
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  3) ELO level tokens for white and black will induce the model to play at the given ELO level.
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  ## Uses
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  ### Direct Use
@@ -99,3 +103,4 @@ In this representation, each chess move (half-move) corresponds to one token.
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  - Total training time: ~3 hours
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  ![Loss curves for 100m and 250m models](https://huggingface.co/daavidhauser/chess-bot-3000-100m/resolve/main/loss-chess-bot-3000.png)
 
 
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  2) By setting `<BLACK_WIN>` the model is being conditioned to predict moves where black wins
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  3) ELO level tokens for white and black will induce the model to play at the given ELO level.
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+ ## Evaluation
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+ 100m model performance against stockfish at various ELO levels
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/62e2d6ae2be89f0bf5d74b19/xzoOyaBfHWHzstmgd2K15.png)
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+
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  ## Uses
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  ### Direct Use
 
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  - Total training time: ~3 hours
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  ![Loss curves for 100m and 250m models](https://huggingface.co/daavidhauser/chess-bot-3000-100m/resolve/main/loss-chess-bot-3000.png)
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