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  license: apache-2.0
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  language:
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  - en
 
 
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  ---
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- # Uploaded finetuned model
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- - **Developed by:** chimbiwide
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- - **License:** apache-2.0
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- - **Finetuned from model :** unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit
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- This gemma3n model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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/RolePlay-NPC
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  ---
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+ # Gemma3NPC-it-beta
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+ #### A test model with less convervative training parameters
 
 
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+ As mentioned in our [original article](https://huggingface.co/blog/chimbiwide/gemma3npc), we employed a very conservative training parameters for Gemma3NPC
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+ Ever since then, we have always wanted to test the performance of the model when we make the training parameters less conservative.
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+ So we present ***Gemma3NPC-it-beta***.
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+ Check out our training notebook [here](https://github.com/chimbiwide/Gemma3NPC/blob/main/Training/Gemma3NPC_Instruct_Beta.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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+ Here is a graph of the Step Training Loss, saved every 10 steps:
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+ ![chart](https://cdn-uploads.huggingface.co/production/uploads/67d5b5a056a9d31aa0b49687/W3cJ_CPoLp9MZsomaZa3b.png)