---
license: gemma
library_name: peft
tags:
- generated_from_trainer
base_model: unsloth/gemma-2-9b-it-bnb-4bit
model-index:
- name: gemma2-9b-4bit-qlora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gemma2-9b-4bit-qlora

This model is a fine-tuned version of [unsloth/gemma-2-9b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-2-9b-it-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4238

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 8.2352        | 0.2036 | 50   | 7.5529          |
| 5.4001        | 0.4072 | 100  | 5.1485          |
| 3.9619        | 0.6108 | 150  | 3.8688          |
| 3.4514        | 0.8144 | 200  | 3.4238          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.20.0