---
base_model: unsloth/gemma-2-9b-bnb-4bit
library_name: peft
license: gemma
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: legal-ps-prosecution-gemma2-9b
  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. -->

# legal-ps-prosecution-gemma2-9b

This model is a fine-tuned version of [unsloth/gemma-2-9b-bnb-4bit](https://huggingface.co/unsloth/gemma-2-9b-bnb-4bit) on the None 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: 2
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 60

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1