---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
model-index:
- name: eu-ai-act-align
  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. -->

# eu-ai-act-align

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7628

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.139         | 1.0   | 230  | 1.9804          |
| 1.9368        | 2.0   | 460  | 1.8491          |
| 1.8613        | 3.0   | 690  | 1.8011          |
| 1.8008        | 4.0   | 920  | 1.7763          |
| 1.7447        | 5.0   | 1150 | 1.7634          |
| 1.6942        | 6.0   | 1380 | 1.7563          |
| 1.6558        | 7.0   | 1610 | 1.7513          |
| 1.6192        | 8.0   | 1840 | 1.7446          |
| 1.5782        | 9.0   | 2070 | 1.7573          |
| 1.5463        | 10.0  | 2300 | 1.7628          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2