---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
metrics:
- accuracy
model-index:
- name: news_classification
  results: []
datasets:
- sklearn.datasets.fetch_20newsgroups
---

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

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the 20 News Group dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4061
- Balanced Accuracy: 0.5117
- Accuracy: 0.53

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| 2.4925        | 1.0   | 25   | 1.7238          | 0.4608            | 0.475    |
| 1.2815        | 2.0   | 50   | 1.4959          | 0.5185            | 0.535    |
| 0.7958        | 3.0   | 75   | 1.4061          | 0.5117            | 0.53     |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1