Version 0.2a of ChessPT is currently training.
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Version 0.2a of ChessPT is currently training.
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I decided to wait with the actual v1.0 until I have a better understanding where I want to go and successfully trained the first fine tune.
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I decided to wait with the actual v1.0 until I have a better understanding where I want to go and successfully trained the first fine tune.
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I'm playing around with a loss that is highly influenced by the idea of reinforcement.
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I'm playing around with a loss that is highly influenced by the idea of reinforcement.
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Basically I'm punishing the model for generating invalid PGN strings.
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Basically I'm punishing the model for generating invalid PGN strings.
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The current approach sets on simplicity
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The current approach sets on simplicity
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-2: wrong characters in output
-1: invalid PGN string, but valid charset
0: valid PGN string, incl. valid moves
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-2: wrong characters in output
-1: invalid PGN string, but valid charset
0: valid PGN string, incl. valid moves
```
code_fence
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GPT-4o helped me with the implementation. I'm expecting some errors in the implementation.
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GPT-4o helped me with the implementation. I'm expecting some errors in the implementation.
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The training should finish in somewhat 14h, I will upload the new weights then. 
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The training should finish in somewhat 14h, I will upload the new weights then. 
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But I still need to run extensive tests on this loss before I can happily call it v0.2 ✌️
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But I still need to run extensive tests on this loss before I can happily call it v0.2 ✌️
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BTW, I'm also building a space for the model which will be published tonight after adding descriptions and a nice interface. ♟️
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BTW, I'm also building a space for the model which will be published tonight after adding descriptions and a nice interface. ♟️
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https://huggingface.co/philipp-zettl/chessPT
philipp-zettl/chessPT
model
resource
https://huggingface.co/philipp-zettl/chessPT
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https://huggingface.co/spaces/philipp-zettl/ChessPT
philipp-zettl/ChessPT
space
resource
https://huggingface.co/spaces/philipp-zettl/ChessPT
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Version 0.2a of ChessPT is currently training.

I decided to wait with the actual v1.0 until I have a better understanding where I want to go and successfully trained the first fine tune.

I'm playing around with a loss that is highly influenced by the idea of reinforcement.

Basically I'm punishing the model for generating invalid PGN strings.
The current approach sets on simplicity

```
-2: wrong characters in output
-1: invalid PGN string, but valid charset
0: valid PGN string, incl. valid moves
```

GPT-4o helped me with the implementation. I'm expecting some errors in the implementation.

The training should finish in somewhat 14h, I will upload the new weights then. 
But I still need to run extensive tests on this loss before I can happily call it v0.2 ✌️

BTW, I'm also building a space for the model which will be published tonight after adding descriptions and a nice interface. ♟️

https://huggingface.co/philipp-zettl/chessPT
https://huggingface.co/spaces/philipp-zettl/ChessPT

👀
John6666