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gemma-7b-ultrachat-sft/README.md
ModelHub XC c403cebb05 初始化项目,由ModelHub XC社区提供模型
Model: CorticalStack/gemma-7b-ultrachat-sft
Source: Original Platform
2026-04-16 14:56:04 +08:00

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license: apache-2.0
---
# gemma-7b-ultrachat-sft
gemma-7b-ultrachat-sft is an SFT fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) using the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset.
## Fine-tuning configuration
### LoRA
- LoRA r: 8
- LoRA alpha: 16
- LoRA dropout: 0.1
### Training arguments
- Epochs: 1
- Batch size: 4
- Gradient accumulation steps: 6
- Optimizer: paged_adamw_32bit
- Max steps: 100
- Learning rate: 0.0002
- Weight decay: 0.001
- Learning rate scheduler type: constant
- Max seq length: 2048