---
base_model: google/gemma-2b
library_name: peft
license: gemma
metrics:
- accuracy
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: 0721_201833-google-gemma-2b
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/6-5940/huggingface/runs/mtxh3wh8)
# 0721_201833-google-gemma-2b

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7621
- Accuracy: 0.515

## 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: 1e-08
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.734         | 0.7692 | 5    | 0.7622          | 0.515    |
| 0.8399        | 1.5385 | 10   | 0.7622          | 0.515    |
| 0.7834        | 2.3077 | 15   | 0.7622          | 0.515    |
| 0.7012        | 3.0769 | 20   | 0.7622          | 0.515    |
| 0.7259        | 3.8462 | 25   | 0.7621          | 0.515    |
| 0.8204        | 4.6154 | 30   | 0.7621          | 0.515    |
| 0.7768        | 5.3846 | 35   | 0.7621          | 0.515    |
| 0.8371        | 6.1538 | 40   | 0.7621          | 0.515    |
| 0.7098        | 6.9231 | 45   | 0.7621          | 0.515    |
| 0.8716        | 7.6923 | 50   | 0.7621          | 0.515    |
| 0.6456        | 8.4615 | 55   | 0.7621          | 0.515    |
| 0.7848        | 9.2308 | 60   | 0.7621          | 0.515    |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1