---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- generator
model-index:
- name: Llama-3-8B-sft-lora-food-nutrition-10-epoch
  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. -->

# Llama-3-8B-sft-lora-food-nutrition-10-epoch

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3265

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3207        | 1.0   | 2207  | 0.3432          |
| 0.3222        | 2.0   | 4414  | 0.3339          |
| 0.3442        | 3.0   | 6621  | 0.3298          |
| 0.3389        | 4.0   | 8828  | 0.3282          |
| 0.3293        | 5.0   | 11035 | 0.3271          |
| 0.3376        | 6.0   | 13242 | 0.3267          |
| 0.3543        | 7.0   | 15449 | 0.3266          |
| 0.3077        | 8.0   | 17656 | 0.3265          |
| 0.2973        | 9.0   | 19863 | 0.3266          |
| 0.3028        | 10.0  | 22070 | 0.3265          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1