---
license: mit
base_model: mustafaaljadery/gemma-2B-10M
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: attack-gemma
  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. -->

# attack-gemma

This model is a fine-tuned version of [mustafaaljadery/gemma-2B-10M](https://huggingface.co/mustafaaljadery/gemma-2B-10M) on an unknown dataset.

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10

### Training results



### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1