EmoN3 / README.md
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---
library_name: peft
tags:
- axolotl
- lora
- transformers
- gemma
pipeline_tag: text-generation
base_model: google/gemma-3-27b-it
---
# EmoN1
Fine-tuned from [google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it) using QLoRA.
## Training Details
- **Base Model:** google/gemma-3-27b-it
- **Method:** QLoRA (4-bit quantization + LoRA)
- **LoRA Rank:** 32
- **LoRA Alpha:** 64
- **Sequence Length:** 8192
- **Epochs:** 3
- **Learning Rate:** 2e-4
### Training Results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9058 | 1.0 | 63 | 0.8959 |
| 0.8279 | 2.0 | 126 | 0.8607 |
### Framework Versions
- PEFT 0.17.1
- Transformers 4.55.4
- Pytorch 2.7.1+cu126