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--- |
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base_model: unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- gemma3n |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- chimbiwide/pippa_filtered |
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--- |
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# Gemma3NPC-filtered-float16 |
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#### The "filtered" model that delivers censored general role-playing at great speed. |
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We trained this model as a rank-12 LoRA adapter with one epoch over `pippa_filtered` using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of `2e-5` and a total batch size of 1 and gradient accumulation steps of 16. A cosine learning rate scheduler was used with a 150-step warmup. With a gradient clipping of 0.5. |
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Check out our training notebook [here](https://github.com/chimbiwide/Gemma3NPC/blob/main/Training/Gemma3NPC-Filtered.ipynb). |
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--- |
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Here is a graph of the Step Training Loss, saved every 5 steps: |
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