metadata
base_model: chimbiwide/gemma-3NPC-it-beta
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3n
- llama-cpp
- gguf-my-repo
license: apache-2.0
language:
- en
datasets:
- chimbiwide/RolePlay-NPC
Gemma3NPC-it-beta
A test model with less convervative training parameters
The Q4_K_M quantized version of Gemma3NPC-it-beta-Float16.
As mentioned in our original article, we employed a very conservative training parameters for Gemma3NPC
Ever since then, we have always wanted to test the performance of the model when we make the training parameters less conservative.
So we present Gemma3NPC-it-beta.
Check out our training notebook here
Training parameters compared to Gemma3NPC-it
| Parameter | Gemma3NPC-it | Gemma3NPC-it-beta |
|---|---|---|
| Learning Rate | 2e-5 | 2.5e-5 (+25%) |
| Warmup Steps | 800 | 100 |
| gradient clipping | 0.4 | 1.0 |
Here is a graph of the Step Training Loss, saved every 10 steps:
