---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: ingredients_to_recipe_llama-3.2-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ingredients_to_recipe_llama-3.2-model

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6841

## Model description

This is llama 3.2 1B fine-tuned on an [ingredients_to_recipe](https://huggingface.co/datasets/RoshanVelpula/ingredients_to_recipe_llama2_format) dataset.

## Intended uses & limitations

For best performance, prompt should follow this format: [INST] Generate a cooking recipe using the following ingredients:1 c. firmly packed brown sugar, 1/2 c. evaporated milk, 1/2 tsp. vanilla, 1/2 c. broken nuts (pecans), 2 Tbsp. butter or margarine, 3 1/2 c. bite size shredded rice biscuits [/INST]

## 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: 24
- eval_batch_size: 24
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7335        | 1.0   | 2500 | 0.6922          |
| 0.6345        | 2.0   | 5000 | 0.6790          |
| 0.6034        | 3.0   | 7500 | 0.6841          |


### Framework versions

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