---
base_model: google/gemma-2b
library_name: peft
license: gemma
metrics:
- accuracy
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: 0721_222324-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/sqce7ion)
# 0721_222324-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: 0.2063
- 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.6308        | 3.3333  | 5    | 0.6551          | 0.7      |
| 0.6283        | 6.6667  | 10   | 0.6179          | 0.75     |
| 0.5927        | 10.0    | 15   | 0.5822          | 0.75     |
| 0.6668        | 13.3333 | 20   | 0.5473          | 0.8      |
| 0.5427        | 16.6667 | 25   | 0.5125          | 0.85     |
| 0.5109        | 20.0    | 30   | 0.4783          | 0.85     |
| 0.4731        | 23.3333 | 35   | 0.4456          | 0.95     |
| 0.4261        | 26.6667 | 40   | 0.4137          | 0.95     |
| 0.3719        | 30.0    | 45   | 0.3832          | 0.95     |
| 0.4027        | 33.3333 | 50   | 0.3542          | 0.95     |
| 0.3231        | 36.6667 | 55   | 0.3276          | 1.0      |
| 0.3292        | 40.0    | 60   | 0.3032          | 1.0      |
| 0.3517        | 43.3333 | 65   | 0.2810          | 1.0      |
| 0.2759        | 46.6667 | 70   | 0.2618          | 1.0      |
| 0.2743        | 50.0    | 75   | 0.2448          | 1.0      |
| 0.2651        | 53.3333 | 80   | 0.2310          | 1.0      |
| 0.2181        | 56.6667 | 85   | 0.2203          | 1.0      |
| 0.2067        | 60.0    | 90   | 0.2127          | 1.0      |
| 0.2268        | 63.3333 | 95   | 0.2081          | 1.0      |
| 0.2014        | 66.6667 | 100  | 0.2063          | 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