---
base_model: google/gemma-2b
library_name: peft
license: gemma
metrics:
- accuracy
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: 0721_211205-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/d8hg2z9x)
# 0721_211205-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: 0.0008
- Accuracy: 1.0

## 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-05
- 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: 100.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1742        | 5.0   | 5    | 0.3139          | 1.0      |
| 0.101         | 10.0  | 10   | 0.1813          | 1.0      |
| 0.0568        | 15.0  | 15   | 0.0998          | 1.0      |
| 0.0294        | 20.0  | 20   | 0.0514          | 1.0      |
| 0.0145        | 25.0  | 25   | 0.0252          | 1.0      |
| 0.0071        | 30.0  | 30   | 0.0127          | 1.0      |
| 0.0039        | 35.0  | 35   | 0.0070          | 1.0      |
| 0.0024        | 40.0  | 40   | 0.0042          | 1.0      |
| 0.0016        | 45.0  | 45   | 0.0028          | 1.0      |
| 0.0011        | 50.0  | 50   | 0.0021          | 1.0      |
| 0.0009        | 55.0  | 55   | 0.0016          | 1.0      |
| 0.0007        | 60.0  | 60   | 0.0014          | 1.0      |
| 0.0006        | 65.0  | 65   | 0.0012          | 1.0      |
| 0.0005        | 70.0  | 70   | 0.0011          | 1.0      |
| 0.0005        | 75.0  | 75   | 0.0010          | 1.0      |
| 0.0005        | 80.0  | 80   | 0.0009          | 1.0      |
| 0.0005        | 85.0  | 85   | 0.0009          | 1.0      |
| 0.0004        | 90.0  | 90   | 0.0009          | 1.0      |
| 0.0004        | 95.0  | 95   | 0.0008          | 1.0      |
| 0.0004        | 100.0 | 100  | 0.0008          | 1.0      |


### Framework versions

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