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# controlled-food-recipe-generation

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9112
- eval_runtime: 1361.672
- eval_samples_per_second: 110.159
- eval_steps_per_second: 1.721
- epoch: 11.85
- step: 500000

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "model-index": [{"name": "controlled-food-recipe-generation", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us