ingredients_to_recipe_llama-3.2-model
This model is a fine-tuned version of 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 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
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Model tree for Braywayc/ingredients_to_recipe_llama-3.2-model
Base model
meta-llama/Llama-3.2-1B