---
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
datasets:
- recipe_nlg
model-index:
- name: distilgpt2-finetuned-recipe-nlg-generator
  results: []
---

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# distilgpt2-finetuned-recipe-nlg-generator

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the recipe_nlg dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0487

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5203        | 1.0   | 250  | 1.7127          |
| 0.1633        | 2.0   | 500  | 1.8375          |
| 0.1527        | 3.0   | 750  | 1.9014          |
| 0.1471        | 4.0   | 1000 | 1.9561          |
| 0.1432        | 5.0   | 1250 | 1.9629          |
| 0.141         | 6.0   | 1500 | 1.9881          |
| 0.1389        | 7.0   | 1750 | 2.0218          |
| 0.1377        | 8.0   | 2000 | 2.0492          |
| 0.1362        | 9.0   | 2250 | 2.0558          |
| 0.1359        | 10.0  | 2500 | 2.0487          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1