Create README.md
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README.md
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---
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license: llama3.2
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language:
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- en
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datasets:
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- PJMixers-Dev/HailMary-v0.1-KTO
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base_model:
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- PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B
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---
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[PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B) was further trained using KTO (with `apo_zero_unpaired` loss type) using a mix of instruct, RP, and storygen datasets. I created rejected samples by using the SFT with bad settings (including logit bias) for every model turn.
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The model was only trained at `max_length=6144`, and is nowhere near a full epoch as it eventually crashed. So think of this like a test of a test.
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---
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![train/rewards/chosen/rejected](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/resolve/main/images/train_rewards_chosen_rejected.png)
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![train/rewards/margins](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/resolve/main/images/train_rewards_margins.png)
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![train/logits/chosen/rejected](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/resolve/main/images/train_logits_chosen_rejected.png)
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![train/logps/chosen/rejected](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/resolve/main/images/train_logps_chosen_rejected.png)
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![train/loss](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/resolve/main/images/train_loss.png)
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![train/grad_norm](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/resolve/main/images/train_grad_norm.png)
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