---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: google/gemma-7b
model-index:
- name: Gemma-7b-ft-QLoRA-300-Alpaca
  results: []
---

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# Gemma-7b-ft-QLoRA-300-Alpaca

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on [Alpaca cleaned dataset](https://huggingface.co/datasets/yahma/alpaca-cleaned).

## Model description

More information needed

## Intended uses & limitations

Simple chatbot.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 150

### Training results



### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2