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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/ReLe_NPC |
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--- |
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# GemmaReLe |
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### A test model for ReLe |
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(btw, we sort of did) |
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--- |
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The **Gemma3NPC** series were meant to be a sort of general purposed video game RP model. |
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This time, using the [chimbiwide/ReLe_Synthetic_v1_json](https://huggingface.co/datasets/chimbiwide/ReLe_Synthetic_v1_json), we trained a model to specifically act as ReLe. |
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For more information on *Who is ReLe?*, visit the dataset README. |
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***Warning***: This is **NOT** a general purpose model. Performance requires further testing. |
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Check out our training notebook [here](https://github.com/chimbiwide/Gemma3NPC/blob/main/Training/GemmaReLe.ipynb) |
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--- |
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#### Training parameters compared to `Gemma3NPC-it` |
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| Parameter | Gemma3NPC-it | Gemma3NPC-it-beta | |
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| --- | --- | --- | |
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| Learning Rate | 2e-5 | 2.5e-5 (+25%) | |
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| Warmup Steps | 800 | 100 | |
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| gradient clipping | 0.4 | 1.0 | |
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--- |
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#### Graph of the Step Training Loss, saved every 10 steps: |
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--- |
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#### Fun Discovery |
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For the first time ever, we encountered a whole number trianing loss. |
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