---
license: gemma
library_name: peft
tags:
- generated_from_trainer
base_model: justshao/gemma-7b-with-confidence
model-index:
- name: LORA_gemma_trained_on_MMLU_5shot_test
  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. -->

# LORA_gemma_trained_on_MMLU_5shot_test

This model is a fine-tuned version of [justshao/gemma-7b-with-confidence](https://huggingface.co/justshao/gemma-7b-with-confidence) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2779

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3002        | 1.0   | 877  | 0.2812          |
| 0.2731        | 2.0   | 1755 | 0.2820          |
| 0.2539        | 3.0   | 2632 | 0.2787          |
| 0.2419        | 4.0   | 3510 | 0.2775          |
| 0.2351        | 5.0   | 4385 | 0.2779          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2