metadata
tags:
- generated_from_trainer
model-index:
- name: recipe-nlg-gpt2-train11_15
results: []
recipe-nlg-gpt2-train11_15
This model is a fine-tuned version of 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