---
tags:
- generated_from_trainer
model-index:
- name: recipe-nlg-gpt2-train11_15
  results: []
---

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# recipe-nlg-gpt2-train11_15

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the Recipe-NLG dataset.

## Model description

TEST MODEL - ABOUT 0.40 EPOCHS OF TRAINING COMPLETED

## Intended uses & limitations

Experimenting with GPT-2 for recipe generation.

## Training and evaluation data
The RecipeNLG(https://huggingface.co/mbien/recipenlg/) dataset was used for this task.

5% of the dataset was held out for evaluation.

## Training procedure
RTX 3090 was used on Vast.AI, training took about 14 hours with a batch size of 8, and f16 enabled.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 0.45
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.6.1
- Tokenizers 0.13.2