---
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: Llama-3-8B_civic_discussion_qlora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-3-8B_civic_discussion_qlora

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9642
- Model Preparation Time: 0.0063
- Rouge1: 64.1464
- Rouge2: 24.9084
- Rougel: 45.772
- Rougelsum: 62.0758

## 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: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1