---
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
tags:
- generated_from_trainer
model-index:
- name: llama-text-simplification
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uds/Graded%20text%20simplification%20training/runs/lzy52ynq)
# llama-text-simplification

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: 1.0017

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1586        | 1.0   | 1326 | 1.0744          |
| 1.0208        | 2.0   | 2652 | 1.0273          |
| 0.9769        | 3.0   | 3978 | 1.0112          |
| 0.947         | 4.0   | 5304 | 1.0038          |
| 0.9234        | 5.0   | 6630 | 1.0017          |


### Framework versions

- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1