content.raw: Version 0.2a of ChessPT is currently training.
content.type: text
content.value: Version 0.2a of ChessPT is currently training.
content.type: new_line
content.type: new_line
content.raw: 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.
content.type: text
content.value: 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.
content.type: new_line
content.type: new_line
content.raw: I'm playing around with a loss that is highly influenced by the idea of reinforcement.
content.type: text
content.value: I'm playing around with a loss that is highly influenced by the idea of reinforcement.
content.type: new_line
content.type: new_line
content.raw: Basically I'm punishing the model for generating invalid PGN strings.
content.type: text
content.value: Basically I'm punishing the model for generating invalid PGN strings.
content.type: new_line
content.raw: The current approach sets on simplicity
content.type: text
content.value: The current approach sets on simplicity
content.type: new_line
content.type: new_line
content.code: -2: wrong characters in output
  -1: invalid PGN string, but valid charset
  0: valid PGN string, incl. valid moves
content.raw: ```
  -2: wrong characters in output
  -1: invalid PGN string, but valid charset
  0: valid PGN string, incl. valid moves
  ```
content.type: code_fence
content.type: new_line
content.type: new_line
content.raw: GPT-4o helped me with the implementation. I'm expecting some errors in the implementation.
content.type: text
content.value: GPT-4o helped me with the implementation. I'm expecting some errors in the implementation.
content.type: new_line
content.type: new_line
content.raw: The training should finish in somewhat 14h, I will upload the new weights then. 
content.type: text
content.value: The training should finish in somewhat 14h, I will upload the new weights then. 
content.type: new_line
content.raw: But I still need to run extensive tests on this loss before I can happily call it v0.2 ✌️
content.type: text
content.value: But I still need to run extensive tests on this loss before I can happily call it v0.2 ✌️
content.type: new_line
content.type: new_line
content.raw: BTW, I'm also building a space for the model which will be published tonight after adding descriptions and a nice interface. ♟️
content.type: text
content.value: BTW, I'm also building a space for the model which will be published tonight after adding descriptions and a nice interface. ♟️
content.type: new_line
content.type: new_line
content.raw: https://huggingface.co/philipp-zettl/chessPT
content.id: philipp-zettl/chessPT
content.type: model
content.type: resource
content.url: https://huggingface.co/philipp-zettl/chessPT
content.type: new_line
content.raw: https://huggingface.co/spaces/philipp-zettl/ChessPT
content.id: philipp-zettl/ChessPT
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/philipp-zettl/ChessPT
content.type: new_line
rawContent: 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
  
reactions.reaction: 👀
reactions.users: John6666